Data Catalog Market
Data Catalog Market Size, Share and Industry Analysis Report By Component (Solutions and Services); By Deployment Mode (Cloud and On-premises); By Data Consumer (BI Tools, Enterprise Applications, Mobile and Web Applications); By Vertical (BFSI, Retail & E-commerce, IT & Telecom, Healthcare, Manufacturing and Others); By Metadata Type (Business, Technical and Operational) - Forecast Year 2024 – 2031
Information & Communications Technology // Analytics
The global data catalog market is foreseen to
grow by 19.8%, from USD 729.84 Million in 2022 to USD 3096.58 Million in 2030. Growing
proliferation of data, rising need to gather insights for business strategies, growing
adoption of cloud-based solutions is to drive the market for the upcoming
forecast period. However, lack of standardization of data, misconceptions about
risks remains one factor hindering the market growth over the anticipated
period.
Market Definition
What Is Data Catalog?
Market Overview
Data Catalog: An Emerging Treatment Option
for a Wide Range of Medical Conditions
In the digital age, data has become a
valuable asset for organizations, driving decision-making processes, business
strategies, and innovation. However, the sheer volume and complexity of data
can pose challenges in terms of data discovery, understanding, and utilization.
This is where data catalogs play a vital role. A data catalog is a centralized
inventory of data assets that provides metadata, context, and accessibility to
enable efficient data management and utilization. This essay explores the
significance of data catalogs, their impact on search engine optimization
(SEO), and relevant government policies shaping the industry.
The Importance of Data Catalogs
Data catalogs offer a comprehensive solution
for organizing, classifying, and managing data assets within an organization.
By providing a unified view of available data, data catalogs facilitate data
discovery, promote data understanding, and enable effective collaboration among
stakeholders. They empower organizations to leverage their data assets more
efficiently, improve decision-making, and foster a data-driven culture.
a) Improved Data Accessibility: Data catalogs
enhance data accessibility by providing a clear and organized structure for
data assets. This organized structure not only benefits internal users but also
improves the discoverability of relevant data by search engines. Search engines
can better understand the content and relevance of data assets, potentially
leading to higher rankings and visibility in search engine results pages
(SERPs).
b) Enhanced Data Governance:Data catalogs
contribute to better data governance practices, which are essential for SEO. By
maintaining a comprehensive inventory of data assets, including their source,
quality, and usage restrictions, organizations can ensure compliance with data
privacy regulations and search engine guidelines. Adhering to these standards
helps to build trust with search engines and users, positively impacting SEO
rankings.
Factors Influencing Data Catalogs
a) Metadata Management:Metadata, such as data
descriptions, tags, and classifications, is a critical component of data
catalogs. Effective metadata management ensures accurate and relevant
information about data assets, enabling better searchability and understanding.
Organizations should establish metadata standards and practices to optimize the
functionality and usefulness of their data catalogs.
b) Data Quality and Consistency:Maintaining
data quality and consistency is crucial for successful data catalogs. Poor data
quality can undermine the usability and reliability of the cataloged data.
Therefore, organizations should implement data cleansing processes, establish
data quality metrics, and ensure ongoing data maintenance to maximize the
benefits of their data catalogs.
c) Integration with Data Sources and
Tools:Seamless integration between data catalogs and various data sources and
tools is essential for efficient data management. Integration allows for
automatic updates of cataloged data, synchronization with data workflows, and
integration with data analytics and visualization tools. This integration
enhances the value and usability of data catalogs, supporting effective
decision-making and analysis.
Government Policies
Government policies and regulations play a
significant role in data management and data privacy. Organizations need to
comply with relevant policies, such as data protection regulations like the
General Data Protection Regulation (GDPR) or industry-specific guidelines like
the Health Insurance Portability and Accountability Act (HIPAA). Compliance with
these policies ensures data privacy, security, and ethical data handling
practices within data catalogs.
Dynamics of Data Catalog Market
Drivers in Data Catalog Market
Increasing demand for generating insights to
shape business strategies
With the rapid growth of IoT, there is a
heightened need to derive valuable insights from the influx of data. However,
the abundance of unstructured data, sourced from various channels such as
emails, account information, and outdated documents, poses a challenge in making
informed business decisions. To address this, companies are turning to data
catalogs, which allow them to consolidate and organize their enterprise data
from multiple sources into a unified and user-friendly format. Key industry
sectors like healthcare, banking, financial services, insurance (BFSI), and
retail/e-commerce are leveraging data catalog solutions to extract valuable
insights for shaping business strategies and making critical decisions.
Creating a data catalog can be accomplished through various tools and
strategies. Organizations have the option of using third-party tools or
building custom toolsets, each with its own advantages and disadvantages. While
custom-building a data catalog may have lower overall tool and licensing costs,
it requires more time and effort for acquisition, ingestion, and presentation
to users. On the other hand, third-party solutions offer ready-to-use
functionality, reducing the time needed to acquire, process, and present
metadata, although they may come at a higher total cost in terms of tool and
license expenses. The increasing regulatory landscape and the emphasis on
robust data governance have also contributed to the adoption of data
cataloging. Organizations are leveraging data catalogs to ensure compliance,
traceability, and data lineage, all of which are crucial for meeting regulatory
obligations. The democratization of data access and analytics has further
fueled the demand for data cataloging. By providing a centralized and
searchable inventory of data assets, data catalogs enable self-service data
discovery, simplifying the process for business users and analysts to find and
comprehend relevant data tailored to their needs. Enhanced data quality and
establishing trust in the data are vital for effective decision-making. Data
cataloging plays a crucial role by capturing metadata, offering data lineage,
data definitions, and quality indicators, thereby promoting data understanding
and fostering trust in the organization's data assets.
Restraints in Data Catalog Market
Misunderstandings surrounding data security
and privacy risks
Data security and compliance are major
concerns for organizations worldwide. Consequently, there is hesitancy in
adopting new solutions that involve data handling or the transfer of data from
one platform to another. Many companies have misconceptions about security
frameworks and their implementation, leading them to believe that catalog
management solutions could potentially result in data breaches within their
highly abstracted datasets.
These misunderstandings pose obstacles to the
adoption of data catalog solutions. Users are apprehensive about utilizing such
solutions, fearing the loss of critical master data and reference data due to
data errors that may occur during compilation or upgrades. Concerns over data
privacy and the lack of accountability in the event of data loss or theft
further exacerbate the reluctance to embrace data cataloging. Even small and
medium-sized enterprises (SMEs) that are interested in adopting cloud-based data
catalog solutions often withdraw their decision due to these concerns. For
instance, in 2020, Pfizer, following a data breach, demonstrated reluctance to
adopt a cloud-based solution due to concerns regarding system integration
complexities.
Opportunities in Data Catalog Market
The utilization of a data catalog presents an
opportunity for enhancing employee productivity and improving their quality of
life by enabling a data-driven approach. Enterprises aiming to be data-driven
must establish systems and processes that facilitate quick and easy access to
required data. However, a study conducted by IBM reveals that businesses spend
70% of their time searching for data, with only 30% actually utilizing it. Data
catalogs address this issue by eliminating repetitive tasks and siloed work
through the provision of a centralized data source accessible to everyone. The
adoption of data cataloging has been driven by the growth of data-driven
decision-making and the rising demand for advanced analytics and business intelligence.
Data catalogs facilitate data discovery and comprehension, enabling analysts
and data scientists to locate and leverage relevant data for their analytical
tasks. The proliferation of complex data ecosystems, including data lakes, data
warehouses, and multi-cloud environments, has necessitated improved data
integration and management. Data catalogs aid in the discovery and integration
of data from diverse sources, supporting DataOps practices and expediting
data-driven initiatives. The migration of data and applications to the cloud
has further amplified the need for data cataloging. Cloud-based data cataloging
solutions offer scalability, flexibility, and simplified access to distributed
data assets, supporting organizations in their digital transformation
endeavors. The integration of artificial intelligence (AI) and machine learning
(ML) technologies into data cataloging platforms has brought about enhanced
automation and intelligent capabilities. AI-powered data catalogs can
automatically capture metadata, classify data assets, and provide intelligent
recommendations, thereby enhancing the efficiency and effectiveness of data
cataloging processes.
Challenges in Data Catalog Market
One of the challenges faced in data
cataloging is the lack of a professional workforce. Building a data catalog
necessitates a team with a balanced mix of technical and business expertise. It
is crucial to have quick learners with a background in data services and
familiarity with data cataloging tools, as well as an understanding of the
business value that data cataloging can bring to the organization. However,
companies may struggle to identify skilled and innovative talent for data
cataloging. While they may have well-defined requirements, a robust business
intelligence strategy, and a suitable tool solution, they may lack the
technical skills required to design, build, maintain, and support the data
infrastructure. This can pose a challenge to the growth of the data catalog
market.
The discovery of relevant and trustworthy
data within an organization can also prove to be a challenge. The average time
spent by data professionals on data discovery tasks can vary depending on the
size and complexity of the organization. Ensuring data quality and consistency
across different sources and systems presents another challenge. Statistics on
data quality issues, such as duplication, incompleteness, or inconsistencies,
can vary based on the industry and the level of data governance practices
implemented. Establishing data governance policies, ensuring data privacy, and
maintaining data security are critical challenges in data cataloging. The
frequency of data breaches, compliance violations, or instances of unauthorized
data access can vary depending on the industry and region.
Managing and maintaining metadata about data
assets can be a complex undertaking. The time spent on metadata creation,
updates, and accuracy rates can vary based on the organization's size and the
volume of data being cataloged. Encouraging adoption and fostering cultural
change within an organization to embrace data cataloging practices may also
pose a challenge. User adoption rates, training effectiveness, and the cultural
shift towards data-driven decision-making can vary depending on the
organization's readiness for change. As data volumes increase, ensuring the
scalability and performance of the data catalog becomes crucial. The average
time taken for data catalog queries or the impact of data cataloging on overall
system performance can vary based on the size and complexity of the data
environment. Keeping the data catalog up to date with the latest changes in
data assets, data sources, or data schema can be challenging. The frequency of
data catalog updates or the percentage
Ecosystem of Data Catalog Market
During the forecast period, the Business
metadata segment is projected to experience a higher compound annual growth
rate (CAGR).
Business metadata plays a crucial role in
organizations by maintaining structured documentation within the business
glossary. It encompasses definitions of data files, attributes, and business
rules, facilitating data understanding in business terms. Business metadata
also includes information about data owners, stewards, and data quality
metrics, assisting business users in navigating centrally managed data. By
utilizing metadata, organizations can effectively manage their data, while data
professionals can collect, organize, access, and enrich metadata to support
data discovery and governance.
In the previous year, the technical metadata
segment held a significant market share, accounting for over 42.6% of global
revenue. The market dominance of technical metadata is expected to continue
growing due to the widespread use of data governance and management practices.
Technical metadata refers to the essential technical properties required for
data presentation. It encompasses physical characteristics that aid in the
loading of information from primary sources. This type of metadata organizes
various data sources and associated attributes, such as data source, location,
credentials, and mapping. It also includes structural information, such as
foreign key attributes. Examples of technical metadata include details about
physical database tables, backup policies, access restrictions, and mapping
documentation.
By vertical, the retail and eCommerce segment
is projected to achieve a higher CAGR during the forecast period.
The retail and eCommerce industry has
undergone a significant transformation, shifting from traditional physical stores
to online platforms. Retailers are now leveraging online channels to reach a
larger customer base and gain a competitive edge in this highly competitive
industry. Analyzing customer behaviors, preferences, and spending patterns has
become crucial for retailers. To achieve this, retailers focus on studying vast
amounts of data generated through social media platforms, Point of Sale (POS)
systems, mobile apps, eCommerce websites, and web platforms. By analyzing this
data, retailers can formulate effective marketing campaigns and business
strategies, ultimately enhancing their market position in the retail and
eCommerce industry.
The solution segment demonstrated a dominant
revenue share of over 76.8% in the previous year and is expected to maintain
its leading position throughout the forecast period. A data catalog solution
serves as a collaborative workspace for various data users, enabling them to
explore and leverage an organization's data environment effectively. It
facilitates the discovery, understanding, and trustworthiness of various data
assets such as tables, BI dashboards, views, columns, ETL logs, categories, SQL
queries, and notebooks.
The services segment is projected to
experience significant growth during the forecast period. Metadata management
services play a crucial role in improving data quality, enhancing visibility,
and ensuring traceability within a business. Many data catalog services offer
features such as data lineage across platforms, pipelines, datasets, graphs, dashboard
services, summary statistics, and tagging/documentation capabilities. An
example of the industry's growth is the acquisition of Compact Solutions by
Informatica, which aims to enhance metadata processing capabilities. This
acquisition strengthens Informatica's position in automation and AI powered by
metadata. The integration of Compact Solutions' advanced metadata connectivity
into Informatica Enterprise Data Catalog will accelerate activities related to
analytics, data governance, privacy, and data warehouse modernization by
comprehensively understanding and prioritizing all data and determining
appropriate handling and transfer approaches.
The on-premises segment accounted for a
majority share of global revenue last year, representing over 59.5% of the
market. However, the demand for on-premises deployment is expected to decline
significantly in the coming years due to its high associated costs.
Organizations need to make substantial initial capital expenditures to purchase
servers and other hardware. Moreover, ongoing expenses are incurred for system
upgrades, repairs, and replacements, as hardware failures and replacements
become frequent and costly.
Conversely, the cloud segment is anticipated
to witness substantial growth during the forecast period. Cloud-based data
catalog solutions are surpassing on-premises alternatives due to their numerous
advantages. These advantages include reduced operational expenses, simplified
deployments, and scalability of networked resources. Cloud-based solutions provide
comprehensive transformation procedures to help businesses achieve their goals.
They also offer greater operational flexibility for real-time analysis and
simplify real-time deployment. Major players in the cloud data catalog solution
market include TIBCO Software, AWS, and IBM, who provide robust cloud-based
solutions to meet organizations' data cataloging needs.
During the previous year, the enterprise
applications segment dominated the market, capturing a significant market share
of over 37.8% in global revenue. Within an enterprise application, a data
catalog plays a crucial role in providing accessibility to an organization's
data inventory for all users. The market for enterprise applications is
expanding due to organizations' increasing demand for a comprehensive solution
to address their business challenges. Businesses utilize enterprise application
software, which can be customized to meet specific business requirements and
deployed across corporate networks on various platforms. These applications
integrate multiple functions, including customer relationship management (CRM),
business intelligence, supply chain management, and e-commerce systems. As the
number of mobile users within organizations continues to rise, these
applications contribute to enhancing employee performance and facilitating
better communication, thereby boosting organizational effectiveness.
Over the forecast period, the business
intelligence tools segment is expected to witness significant growth. Business
intelligence (BI) encompasses the integration of business analytics, data
mining, data visualization, infrastructure, data tools, and best practices to
support organizations in making data-driven decisions. Data catalogs play a
crucial role for BI teams as they centralize dashboards and automate reporting,
enabling efficient analytics. The demand for BI is expanding as businesses seek
assistance in various business-related decision-making processes utilizing
statistical modeling techniques. Technical proficiency is essential for working
with BI tools such as Hadoop, as they require expertise in creating and
managing data models, algorithms, and queries. BI tools consume vast volumes of
data to generate valuable insights, making them one of the primary consumers in
the data catalog market.
Market Segmentation
For the purpose of this report, the global data
catalog market segmented on the basis of component, deployment mode, data
consumer, metadata type vertical, and region.
Component Outlook:
On the basis of component, the market is
segmented into solutions, services.
Deployment Mode Outlook:
On the basis of deployment mode, the market
is segmented into cloud, on-premises.
Data Consumer Outlook:
On the basis of data consumer, the market is
segmented into business intelligence tools, enterprise applications, mobile and
web applications.
Metadata Type Outlook:
On the basis of metadata type, the market is
segmented into technical metadata, business metadata.
Vertical Outlook:
On the basis of vertical, the market is
segmented into BFSI, retail and ecommerce, manufacturing, government and
defence, healthcare and life sciences, telecom, media and entertainment,
transportation and logistics other verticals.
Figure 1 Data Catalog Market By Vertical (Market Size And Forecast By
Value - USD Million, 2022 & 2030)
Regional Outlook (Revenue, USD Million; 2022 & 2030)
|
Regional Outlook (Revenue, USD Million; 2020-2030) |
|
|
North America |
U.S. |
|
Canada |
|
|
Europe |
Germany |
|
U.K. |
|
|
France |
|
|
Spain |
|
|
Italy |
|
|
Rest of the Europe |
|
|
Asia Pacific |
India |
|
Japan |
|
|
China |
|
|
South Korea |
|
|
Australia |
|
|
Rest of Asia-Pacific |
|
|
Middle East & Africa |
UAE |
|
Saudi Arabia |
|
|
South Africa |
|
|
Rest of Middle East &
Africa |
|
|
Latin America |
Brazil |
|
Mexico |
|
|
Argentina |
|
|
Rest of Latin America |
|
Figure 2 Data Catalog Market: Regional Dynamics
The North American region, known for its
early adoption of data catalog technology, holds a significant position in the
global data catalog market, generating substantial revenue. It is poised for
rapid growth during the forecast period due to the increasing utilization of
data in various business intelligence (BI) tools and the widespread adoption of
digital technologies across sectors such as BFSI, telecom and IT, healthcare,
and manufacturing. With its focus on innovation, research, development, and
technological advancements in BI technology, North America has emerged as a
leader in this field.
The United States and Canada, renowned for
their innovation-driven approach, contribute the highest revenue to the data
catalog market in North America. These countries boast dynamic and highly
competitive data catalog markets. North America stands as a promising region
for growth, supported by the rapid development of infrastructure and the
significant expansion of data across various industry verticals.
The rise of smart city initiatives in North
America has led to an increase in raw data generation. Consequently, there is a
growing need to effectively access and utilize this raw data through BI tools
to extract relevant information. This surge in demand for data catalog
solutions is being met by key players such as IBM, Oracle, AWS, Informatica,
Talend, TIBCO Software, and Microsoft, along with several start-ups. These
companies are offering advanced data catalog solutions and services to cater to
the evolving needs of customers in the region.
In the Asia Pacific (APAC) region, a notable
growth rate is expected, with the highest compound annual growth rate (CAGR)
during the forecast period. The region experiences a significant volume of
dataset production due to pervasive digitalization across industries. As a
result, there is a growing demand for data catalog services, facilitating
business expansion in the region. Additionally, with the increasing use of
mobile and web applications for daily tasks by individuals in the APAC region,
the development of mobile and web applications is experiencing rapid growth.
These applications often require access to extensive corporate data and
seamless interoperability with enterprise systems, thereby driving the growth
of the data catalog market. Mobile and online apps utilize standard protocols,
mobile-first libraries, and infrastructure to define and expose multiple data
sources that operate across various mobile and web-based platforms.
Companies Considered And Profiled In This Market Study
The players operating in the market have
undertaken several strategies related to the market in the period 2020-2022.
some of the prominent players in the data catalog market include
·
IBM
·
MICROSOFT
·
TIBCO SOFTWARE
·
COLLIBRA
·
ORACLE
·
INFORMATICA
·
ALATION
·
GOOGLE
·
CLOUDERA
·
ALTERYX
·
TALEND
·
ATACCAMA
·
ZALONI
·
DENODO
·
TABLEAU
·
AWS
·
CAMBRIDGE SEMANTICS
·
ERWIN BY QUEST
·
TAMR
·
DATA.WORLD
·
ALEX SOLUTIONS
·
OCTOPAI
·
IMMUTA
·
SOLIDATUS
·
ZEENEA
·
ATLAN
·
STEMMA
·
CASTOR
·
APACHE SOFTWARE
FOUNDATION
·
HITACHI VANTARA
CORPORATION
·
PRECISELY INC.
Global Data Catalog Market Report Scope
|
Historical data |
2020 - 2022 |
|
Base year for estimation |
2022 |
|
Forecast period |
2023 - 2030 |
|
Market size value in 2022 |
USD 729.84 Million |
|
Revenue forecast in 2030 |
USD 3096.58 Million |
|
Growth Rate |
CAGR of 19.8 %
from 2023 to 2030 |
|
Quantitative units |
Revenue in USD Million/Billion & CAGR from 2023 to 2030 |
|
Report coverage |
Revenue forecast, company share,
competitive landscape, growth factors, and trends |
|
Segments covered |
Component, Deployment Mode, Data Consumer, Metadata Type Vertical |
|
Key companies profiled |
IBM, Microsoft, Tibco Software |
|
Regional Scope |
North America, Europe, Asia Pacific, Middle East & Africa, Latin
America |
|
Country Scope |
U.S., Canada, Germany, U.K., France, Italy,
Spain, India, Japan, China, Australia, South Korea, Saudi Arabia, UAE, South
Africa, Brazil, Mexico, Argentina |
|
Customization scope |
Free report customization (equivalent to up to 8 analysts’ working
days) with purchase. Addition or alteration to country, regional &
segment scope. |
Component Outlook (Revenue,
USD Million/Billion; 2020-2030)
·
Solutions
·
Services
Deployment Mode Outlook
(Revenue, USD Million/Billion; 2020-2030)
·
Cloud
·
On-Premises
Data Consumer Outlook
(Revenue, USD Million/Billion; 2020-2030)
·
Business
Intelligence tools
·
Enterprise
Applications
·
Mobile and Web
Applications
Metadata Type Outlook
(Revenue, USD Million/Billion; 2020-2030)
·
Technical Metadata
·
Business Metadata
Vertical Outlook
(Revenue, USD Million/Billion; 2020-2030)
·
BFSI
·
Retail and
eCommerce
·
Manufacturing
·
Government and
Defence
·
Healthcare and Life
Sciences
·
Telecom
·
Media and Entertainment
·
Transportation and
Logistics
·
Other Verticals
Regional Outlook (Revenue,
USD Million/Billion; 2020-2030)
·
North America
o
U.S.
o
Canada
·
Europe
o
Germany
o
U.K.
o
France
o
Spain
o
Italy
o
Rest of the Europe
·
Asia Pacific
o
India
o
Japan
o
China
o
South Korea
o
Australia
o
Rest of
Asia-Pacific
·
Middle East &
Africa
o
UAE
o
Saudi Arabia
o
South Africa
o
Rest of Middle East
& Africa
·
Latin America
o
Brazil
o
Mexico
o
Argentina
o
Rest of Latin
America
Recent Developments In Data Catalog Market:
In June 2021, Collibra, a leading data
intelligence company, announced its acquisition of OwlDQ, a data quality
platform provider. The acquisition aimed to enhance Collibra's data catalog
capabilities by integrating OwlDQ's data quality capabilities. This strategic
move allowed Collibra to offer a more comprehensive solution for data
governance, data quality management, and data cataloging.
In March 2020, Alation, a data catalog
company, partnered with Snowflake, a cloud data platform provider. The partnership
aimed to provide joint customers with enhanced data cataloging and data
governance capabilities. The integration of Alation's data catalog solution
with Snowflake's cloud platform allowed users to gain better insights into
their data, improve data discoverability, and ensure data governance
compliance.
DataRobot, an enterprise AI platform,
acquired Cursor, a San Francisco-based data catalog company, in January 2020.
The acquisition aimed to strengthen DataRobot's capabilities in managing and
cataloging large volumes of data. By integrating Cursor's data catalog
technology into its platform, DataRobot enhanced its data preparation and
exploration capabilities, enabling customers to derive more value from their
data assets.
In November 2019, Alteryx, a leader in
self-service data analytics, acquired ClearStory Data, a data catalog and data
management company. The acquisition aimed to enhance Alteryx's end-to-end data
analytics platform by integrating ClearStory Data's data cataloging
capabilities. This integration allowed Alteryx users to easily discover and
access relevant data assets for their analytics workflows, improving data
accessibility and accelerating insights generation.
Informatica, a leading data integration and
management company, announced its acquisition of Compact Solutions in July
2019. Compact Solutions specializes in metadata management and data governance
solutions. The acquisition aimed to strengthen Informatica's metadata-driven AI
capabilities, enabling customers to gain better visibility and control over
their data assets. By leveraging Compact Solutions' metadata connectivity and
lineage capabilities, Informatica enhanced its data cataloging and governance
offerings.
In October 2021, data catalog company
Collibra announced its acquisition of SchemaLogic, a provider of metadata
management and data catalog solutions. The acquisition aimed to strengthen
Collibra's data catalog capabilities and expand its metadata management
offerings. By integrating SchemaLogic's technology, Collibra aimed to provide
customers with enhanced data discovery, data governance, and data lineage
capabilities.
In September 2021, data intelligence platform
Datadobi acquired FileFacets, a data analytics and content search company. The
acquisition aimed to enhance Datadobi's data cataloging capabilities by
integrating FileFacets' technology. The combined solution offered customers
improved data visibility, metadata management, and content discovery across
their data repositories.
DataRobot, an enterprise AI platform,
acquired Zepl, a data science and analytics platform, in June 2021. The
acquisition aimed to strengthen DataRobot's data catalog capabilities and
enable users to catalog, discover, and collaborate on data assets within the
platform. By integrating Zepl's technology, DataRobot aimed to provide a
comprehensive solution for data scientists and analysts to access and utilize
data effectively.
In April 2021, data catalog provider Alation
announced a strategic partnership with Databricks, a leading data and AI company.
The partnership aimed to integrate Alation's data catalog capabilities with
Databricks' unified analytics platform. The collaboration allowed joint
customers to leverage Alation's data cataloging and data governance
capabilities within the Databricks environment, enabling better data discovery,
collaboration, and governance for data-driven projects.
Denodo, a leader in data virtualization,
partnered with Ataccama, a data management and governance company, in February
2021. The partnership aimed to provide customers with a unified data cataloging
and data quality solution. By integrating Denodo's data virtualization platform
with Ataccama's data catalog and data quality capabilities, organizations could
achieve better data understanding, improved data quality, and streamlined data
governance processes.
Data catalogs are indispensable tools for
organizations seeking to harness the power of their data assets. By organizing
and managing data in a structured manner, data catalogs improve data
accessibility, foster collaboration, and enable effective decision-making.
Additionally, data catalogs have SEO benefits, as they enhance data
discoverability and facilitate compliance with search engine guidelines. By
considering factors like metadata management, data quality, and integration
with data sources, organizations can optimize their data catalogs'
functionality. Furthermore, adherence to government policies and regulations
ensures data privacy, security, and ethical data practices within data
catalogs.
|
Chapter
1. Introduction |
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1.1. Market Definition |
|
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1.2. Research Scope |
|
|
1.2.1. Markets Covered |
|
|
1.2.2. Years Considered for
Study |
|
|
Chapter
2. Executive Summary |
|
|
2.1. Summary Snapshot Market Size
and Forecast, 2020-2030 |
|
|
2.2. Data Catalog Market Share by
Component, 2022 vs 2030 (USD Million) |
|
|
2.3. Data Catalog Market Share by
Deployment Mode, 2022 vs 2030 (USD Million) |
|
|
2.4. Data Catalog Market Share by Data
Consumer, 2022 vs 2030 (USD Million) |
|
|
2.5. Data Catalog Market Share by
Vertical, 2022 vs 2030 (USD Million) |
|
|
2.6. Data Catalog Market Share by
Metadata Type, 2022 vs 2030 (USD Million) |
|
|
2.7. Data Catalog Market Share by Region,
2022 vs 2030 (USD Million) |
|
|
Chapter
3. Key Insights |
|
|
Chapter
4. Data Catalog Market Segmentation & Impact Analysis |
|
|
4.1. Data Catalog Market Indicators
Analysis |
|
|
4.1.1. Market Drivers
Analysis |
|
|
4.1.1.1. Growing
proliferation of data |
|
|
4.1.1.2. Rising need
to gather insights for business strategies |
|
|
4.1.1.3. Growing
adoption of cloud-based solutions |
|
|
4.1.2. Market Restraint
Analysis |
|
|
4.1.2.1. Lack of
standardization of data |
|
|
4.1.2.2.
Misconceptions about risks |
|
|
4.1.3. Market Opportunity
Analysis |
|
|
4.1.3.1. Use of data
catalog to improve employee productivity |
|
|
4.1.3.2. Rising
automation and AI-enabled technologies |
|
|
4.2. Regulatory Analysis |
|
|
4.2.1. North America |
|
|
4.2.1.1. U.S. |
|
|
4.2.1.2. Canada |
|
|
4.2.2. Europe |
|
|
4.2.3. Asia Pacific |
|
|
4.2.3.1. India |
|
|
4.2.3.2. Japan |
|
|
4.2.3.3. China |
|
|
4.3. Technological Insights |
|
|
4.4. COVID-19 Impact analysis on Data
Catalog Market |
|
|
4.5. Porter’s Five Forces Analysis |
|
|
4.5.1. Bargaining Power of
Buyers/Consumers |
|
|
4.5.2. Bargaining Power of
Suppliers |
|
|
4.5.3. Threat of New Entrants |
|
|
4.5.4. Threat of Substitute
Products |
|
|
4.5.5. Intensity of Competitive
Rivalry |
|
|
4.6. Competitive Metric Space Analysis |
|
|
Chapter
5. Data Catalog Market, By Component (Market Size and Forecast by Value
- USD Million, 2020 - 2030) |
|
|
5.1. Data Catalog Market, By Component
(Market Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
5.1.1. Solutions |
|
|
5.1.1.1. Solutions Market Estimates and Forecast,
2020-2030 (USD Million) |
|
|
5.1.1.2. Solutions Market Estimates and Forecast, By
Region, 2020-2030 (USD Million) |
|
|
5.1.2. Services |
|
|
5.1.2.1. Services
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
5.1.2.2. Services
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
Chapter
6. Data Catalog Market, By Deployment Mode (Market Size and Forecast by
Value - USD Million, 2020 - 2030) |
|
|
6.1. Data Catalog Market, By Deployment
Mode (Market Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
6.1.1. Cloud |
|
|
6.1.1.1. Cloud Market Estimates and Forecast,
2020-2030 (USD Million) |
|
|
6.1.1.2. Cloud Market Estimates and Forecast, By
Region, 2020-2030 (USD Million) |
|
|
6.1.2. On-Premises |
|
|
6.1.2.1. On-Premises Market Estimates and Forecast,
2020-2030 (USD Million) |
|
|
6.1.2.2. On-Premises Market Estimates and Forecast,
By Region, 2020-2030 (USD Million) |
|
|
Chapter
7. Data Catalog Market, By Data Consumer (Market Size and Forecast by
Value - USD Million, 2020 - 2030) |
|
|
7.1. Data Catalog Market, By Data
Consumer (Market Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
7.1.1. Business Intelligence
tools |
|
|
7.1.1.1. Business Intelligence tools Market Estimates
and Forecast, 2020-2030 (USD Million) |
|
|
7.1.1.2. Business Intelligence tools Market
Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
7.1.2. Enterprise Applications |
|
|
7.1.2.1. Enterprise Applications Market Estimates
and Forecast, 2020-2030 (USD Million) |
|
|
7.1.2.2. Enterprise Applications Market Estimates
and Forecast, By Region, 2020-2030 (USD Million) |
|
|
7.1.3. Mobile and Web Applications |
|
|
7.1.3.1. Mobile and
Web Applications Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
7.1.3.2. Mobile and
Web Applications Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
|
Chapter
8. Data Catalog Market, By Vertical (Market Size and Forecast by Value -
USD Million, 2020 - 2030) |
|
|
8.1. Data Catalog Market, By Vertical (Market
Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
8.1.1. BFSI |
|
|
8.1.1.1. BFSI Market Estimates and Forecast,
2020-2030 (USD Million) |
|
|
8.1.1.2. BFSI Market Estimates and Forecast, By
Region, 2020-2030 (USD Million) |
|
|
8.1.2. Retail and eCommerce |
|
|
8.1.2.1. Retail and eCommerce Market Estimates and
Forecast, 2020-2030 (USD Million) |
|
|
8.1.2.2. Retail and eCommerce Market Estimates and
Forecast, By Region, 2020-2030 (USD Million) |
|
|
8.1.3. Manufacturing |
|
|
8.1.3.1.
Manufacturing Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.3.2.
Manufacturing Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
|
8.1.4. Government and Defence |
|
|
8.1.4.1. Government
and Defence Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.4.2. Government and
Defence Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
8.1.5. Healthcare and Life
Sciences |
|
|
8.1.5.1. Healthcare and Life Sciences Market
Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.5.2. Healthcare and Life Sciences Market
Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
8.1.6. Telecom |
|
|
8.1.6.1. Telecom
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.6.2. Telecom
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
8.1.7. Media and Entertainment |
|
|
8.1.7.1. Media and
Entertainment Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.7.2. Media and
Entertainment Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
|
8.1.8. Transportation and Logistics |
|
|
8.1.8.1.
Transportation and Logistics Market Estimates and Forecast, 2020-2030 (USD
Million) |
|
|
8.1.8.2. Transportation
and Logistics Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
|
8.1.9. Other Verticals |
|
|
8.1.9.1. Other
Verticals Market Estimates and Forecast, 2020-2030 (USD Million) |
|
|
8.1.9.2. Other Verticals Market
Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
|
Chapter
9. Data Catalog Market, By Metadata Type (Market Size and Forecast by
Value - USD Million, 2020 - 2030) |
|
|
9.1. Data Catalog Market, By Metadata
Type (Market Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
9.1.1. Technical Metadata |
|
|
9.1.1.1. Technical Metadata Market Estimates and Forecast,
2020-2030 (USD Million) |
|
|
9.1.1.2. Technical Metadata Market Estimates and
Forecast, By Region, 2020-2030 (USD Million) |
|
|
9.1.2. Business Metadata |
|
|
9.1.2.1. Business Metadata Market Estimates and
Forecast, 2020-2030 (USD Million) |
|
|
9.1.2.2. Business Metadata Market Estimates and
Forecast, By Region, 2020-2030 (USD Million) |
|
|
Chapter
10. Data Catalog Market, By Region (Market Size and Forecast by Value - USD
Million, 2020 - 2030) |
|
|
10.1. Data Catalog Market, By Region
(Market Size and Forecast by Value - USD Million, 2022 & 2030) |
|
|
10.2. North America |
|
|
10.2.1. North America Data Catalog
Market, By Component, 2020-2030 (USD Million) |
|
|
10.2.2. North America Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.2.3. North America Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.2.4. North America Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.2.5. North America Data
Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.2.6. North America Data
Catalog Market, By Country, 2020-2030 (USD Million) |
|
|
10.2.7. U.S. |
|
|
10.2.7.1. U.S.
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.2.7.2. U.S.
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.2.7.3. U.S.
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.2.7.4. U.S. Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.2.7.5. U.S.
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.2.8. Canada |
|
|
10.2.8.1. Canada
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.2.8.2. Canada
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.2.8.3. Canada
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.2.8.4. Canada
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.2.8.5. Canada Data
Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3. Europe |
|
|
10.3.1. Europe Data Catalog
Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.2. Europe Data Catalog
Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.3. Europe Data Catalog
Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.4. EuropeData Catalog
Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.5. EuropeData Catalog
Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.6. Europe Data Catalog
Market, By Country, 2020-2030 (USD Million) |
|
|
10.3.7. Germany |
|
|
10.3.7.1. Germany
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.7.2. Germany
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.7.3. Germany
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.7.4. Germany
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.7.5. Germany
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.8. U.K. |
|
|
10.3.8.1. U.K.
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.8.2. U.K.
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.8.3. U.K. Data Catalog Market, By
Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.8.4. U.K.
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.8.5. U.K. Data
Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.9. France |
|
|
10.3.9.1. France
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.9.2. France
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.9.3. France
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.9.4. France
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.9.5. France
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.10. Spain |
|
|
10.3.10.1. Spain Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.10.2. Spain
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.10.3. Spain
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.10.4. Spain
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.10.5. Spain
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.11. Italy |
|
|
10.3.11.1. Italy
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.11.2. Italy
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.11.3. Italy Data Catalog Market,
By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.11.4. Italy
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.11.5. Italy
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.3.12. Rest of Europe |
|
|
10.3.12.1. Rest
of Europe Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.3.12.2. Rest
of Europe Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.3.12.3. Rest
of Europe Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.3.12.4. Rest
of Europe Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.3.12.5. Rest
of Europe Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4. Asia Pacific |
|
|
10.4.1. Asia Pacific Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.2. Asia Pacific Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.3. Asia Pacific Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.4. Asia Pacific Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.5. Asia Pacific Data
Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.6. Asia Pacific Data
Catalog Market, By Country, 2020-2030 (USD Million) |
|
|
10.4.7. India |
|
|
10.4.7.1. India
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.7.2. India Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.7.3. India
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.7.4. India
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.7.5. India
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.8. Japan |
|
|
10.4.8.1. Japan
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.8.2. Japan
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.8.3. Japan Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.8.4. Japan
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.8.5. Japan
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.9. China |
|
|
10.4.9.1. China
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.9.2. China
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.9.3. China
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.9.4. China
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.10.5. China
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.10. South Korea |
|
|
10.4.10.1. South Korea
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.10.2. South
Korea Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.10.3. South
Korea Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.10.4. South
Korea Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.10.5. South
Korea Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.11. Australia |
|
|
10.4.11.1.
Australia Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.11.2. Australia
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.4.11.3.
Australia Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.4.11.4.
Australia Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.11.5.
Australia Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.4.12. Rest of Asia Pacific |
|
|
10.4.12.1. Rest
of Asia Pacific Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.4.12.2. Rest
of Asia Pacific Data Catalog Market, By Deployment Mode, 2020-2030 (USD
Million) |
|
|
10.4.12.3. Rest
of Asia Pacific Data Catalog Market, By Data Consumer, 2020-2030 (USD
Million) |
|
|
10.4.12.4. Rest
of Asia Pacific Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.12.5. Rest of
Asia Pacific Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.5. Middle East & Africa |
|
|
10.5.1. Middle East &
Africa Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.5.2. Middle East &
AfricaData Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.5.3. Middle East &
Africa Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.5.4. Middle East &
Africa Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.5. Middle East &
Africa Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.5.6. Middle East &
Africa Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
|
10.5.7. UAE |
|
|
10.5.7.1. UAE
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.5.7.2. UAE
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.5.7.3. UAE
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.5.7.4. UAE
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.7.5. UAE
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.5.8. Saudi Arabia |
|
|
10.5.8.1. Saudi
Arabia Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.5.8.2. Saudi Arabia
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.5.8.3. Saudi
Arabia Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.5.8.4. Saudi
Arabia Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.8.5. Saudi
Arabia Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.5.9. South Africa |
|
|
10.5.9.1. South
Africa Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.5.9.2. South
Africa Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.5.9.3. South
Africa Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.5.9.4. South
Africa Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.5.9.5. South Africa
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.5.10. Rest of Middle East
& Africa |
|
|
10.5.10.1. Rest
of Middle East & Africa Data Catalog Market, By Component, 2020-2030 (USD
Million) |
|
|
10.5.10.2. Rest of
Middle East & Africa Data Catalog Market, By Deployment Mode, 2020-2030
(USD Million) |
|
|
10.5.10.3. Rest
of Middle East & Africa Data Catalog Market, By Data Consumer, 2020-2030
(USD Million) |
|
|
10.5.10.4. Rest
of Middle East & Africa Data Catalog Market, By Vertical, 2020-2030 (USD
Million) |
|
|
10.5.10.5. Rest
of Middle East & Africa Data Catalog Market, By Metadata Type, 2020-2030 (USD
Million) |
|
|
10.6. Latin America |
|
|
10.6.1. Latin America Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.6.2. Latin America Data Catalog
Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.6.3. Latin America Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.6.4. Latin America Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.6.5. Latin America Data
Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.6.6. Latin America Data
Catalog Market, By Country, 2020-2030 (USD Million) |
|
|
10.6.7. Brazil |
|
|
10.6.7.1. Brazil Data Catalog Market, By
Component, 2020-2030 (USD Million) |
|
|
10.6.7.2. Brazil
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.6.7.3. Brazil Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.6.7.4. Brazil
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.6.7.5. Brazil
Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.6.8. Mexico |
|
|
10.6.8.1. Mexico
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.6.8.2. Mexico
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
|
10.6.8.3. Mexico
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.6.8.4. Mexico
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.6.8.5. Mexico Data Catalog Market, By
Metadata Type, 2020-2030 (USD Million) |
|
|
10.6.9. Argentina |
|
|
10.6.9.1.
Argentina Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.6.9.2. Argentina Data Catalog Market, By
Deployment Mode, 2020-2030 (USD Million) |
|
|
10.6.9.3.
Argentina Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.6.9.4.
Argentina Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.6.9.5.
Argentina Data Catalog Market, By Metadata Type, 2020-2030 (USD Million) |
|
|
10.6.10. Rest of Latin America |
|
|
10.6.10.1. Rest
of Latin America Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
|
10.6.10.2. Rest of
Latin America Data Catalog Market, By Deployment Mode, 2020-2030 (USD
Million) |
|
|
10.6.10.3. Rest of
Latin America Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
|
10.6.10.4. Rest
of Latin America Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
|
10.6.10.5. Rest
of Latin America Data Catalog Market, By Metadata Type, 2020-2030 (USD
Million) |
|
|
Chapter
11. Competitive Landscape |
|
|
11.1. Market Revenue Share by
Manufacturers |
|
|
11.2. Competitor’s Positioning |
|
|
11.3. Strategy Benchmarking |
|
|
11.3.1. Partnership &
Agreement |
|
|
11.3.2. New Product
Development |
|
|
11.3.3. Mergers &
Acquisitions |
|
|
11.3.4. Investment &
Expansion |
|
|
11.4. Vendor Landscape |
|
|
11.4.1. Distributors |
|
|
11.4.2. North America |
|
|
11.4.3. Europe |
|
|
11.4.4. Asia Pacific |
|
|
11.4.5. Middle East &
Africa |
|
|
11.4.6. Latin America |
|
|
11.5. Zettabyte Analytics Insights for
Competitive Landscape |
|
|
Chapter
12. Company Profiles |
|
|
12.1. Alation |
|
|
12.1.1. Company Overview |
|
|
12.1.2. Products Offered |
|
|
12.1.3. Financials |
|
|
12.1.4. Recent
Development |
|
|
12.2. Alex Solutions |
|
|
12.2.1. Company Overview |
|
|
12.2.2. Products Offered |
|
|
12.2.3. Financials |
|
|
12.2.4. Recent
Development |
|
|
12.3. Alteryx |
|
|
12.3.1. Company Overview |
|
|
12.3.2. Products Offered |
|
|
12.3.3. Financials |
|
|
12.3.4. Recent
Development |
|
|
12.4. Apache Software Foundation |
|
|
12.4.1. Company Overview |
|
|
12.4.2. Products Offered |
|
|
12.4.3. Financials |
|
|
12.4.4. Recent
Development |
|
|
12.5. Ataccama |
|
|
12.5.1. Company Overview |
|
|
12.5.2. Products Offered |
|
|
12.5.3. Financials |
|
|
12.5.4. Recent Development |
|
|
12.6. Atlan |
|
|
12.6.1. Company Overview |
|
|
12.6.2. Products Offered |
|
|
12.6.3. Financials |
|
|
12.6.4. Recent
Development |
|
|
12.7. Aws |
|
|
12.7.1. Company Overview |
|
|
12.7.2. Products Offered |
|
|
12.7.3. Financials |
|
|
12.7.4. Recent
Development |
|
|
12.8. Cambridge Semantics |
|
|
12.8.1. Company Overview |
|
|
12.8.2. Products Offered |
|
|
12.8.3. Financials |
|
|
12.8.4. Recent
Development |
|
|
12.9. Castor |
|
|
12.9.1. Company Overview |
|
|
12.9.2. Products Offered |
|
|
12.9.3. Financials |
|
|
12.9.4. Recent Development |
|
|
12.10. Cloudera |
|
|
12.10.1. Company Overview |
|
|
12.10.2. Products Offered |
|
|
12.10.3. Financials |
|
|
12.10.4. Recent
Development |
|
|
12.11. Collibra |
|
|
12.11.1. Company Overview |
|
|
12.11.2. Products Offered |
|
|
12.11.3. Financials |
|
|
12.11.4. Recent
Development |
|
|
12.12. Data.World |
|
|
12.12.1. Company Overview |
|
|
12.12.2. Products Offered |
|
|
12.12.3. Financials |
|
|
12.12.4. Recent
Development |
|
|
12.13. Denodo |
|
|
12.13.1. Company Overview |
|
|
12.13.2. Products Offered |
|
|
12.13.3. Financials |
|
|
12.13.4. Recent
Development |
|
|
12.14. Erwin By Quest |
|
|
12.14.1. Company Overview |
|
|
12.14.2. Products Offered |
|
|
12.14.3. Financials |
|
|
12.14.4. Recent
Development |
|
|
12.15. Google |
|
|
12.15.1. Company Overview |
|
|
12.15.2. Products Offered |
|
|
12.15.3. Financials |
|
|
12.15.4. Recent
Development |
|
|
12.16. Hitachi Vantara Corporation |
|
|
12.16.1. Company Overview |
|
|
12.16.2. Products Offered |
|
|
12.16.3. Financials |
|
|
12.16.4. Recent
Development |
|
|
12.17. Ibm |
|
|
12.17.1. Company Overview |
|
|
12.17.2. Products Offered |
|
|
12.17.3. Financials |
|
|
12.17.4. Recent
Development |
|
|
12.18. Immuta |
|
|
12.18.1. Company Overview |
|
|
12.18.2. Products Offered |
|
|
12.18.3. Financials |
|
|
12.18.4. Recent
Development |
|
|
12.19. Informatica |
|
|
12.19.1. Company Overview |
|
|
12.19.2. Products Offered |
|
|
12.19.3. Financials |
|
|
12.19.4. Recent
Development |
|
|
12.20. Microsoft |
|
|
12.20.1. Company Overview |
|
|
12.20.2. Products Offered |
|
|
12.20.3. Financials |
|
|
12.20.4. Recent
Development |
|
|
12.21. Octopai |
|
|
12.21.1. Company Overview |
|
|
12.21.2. Products Offered |
|
|
12.21.3. Financials |
|
|
12.21.4. Recent
Development |
|
|
12.22. Oracle |
|
|
12.22.1. Company Overview |
|
|
12.22.2. Products Offered |
|
|
12.22.3. Financials |
|
|
12.22.4. Recent
Development |
|
|
12.23. Precisely Inc. |
|
|
12.23.1. Company Overview |
|
|
12.23.2. Products Offered |
|
|
12.23.3. Financials |
|
|
12.23.4. Recent
Development |
|
|
12.24. Solidatus |
|
|
12.24.1. Company Overview |
|
|
12.24.2. Products Offered |
|
|
12.24.3. Financials |
|
|
12.24.4. Recent
Development |
|
|
12.25. Stemma |
|
|
12.25.1. Company Overview |
|
|
12.25.2. Products Offered |
|
|
12.25.3. Financials |
|
|
12.25.4. Recent
Development |
|
|
12.26. Zaloni |
|
|
12.26.1. Company Overview |
|
|
12.26.2. Products Offered |
|
|
12.26.3. Financials |
|
|
12.26.4. Recent
Development |
|
|
12.27. Talend |
|
|
12.27.1. Company Overview |
|
|
12.27.2. Products Offered |
|
|
12.27.3. Financials |
|
|
12.27.4. Recent
Development |
|
|
12.28. Tamr |
|
|
12.28.1. Company Overview |
|
|
12.28.2. Products Offered |
|
|
12.28.3. Financials |
|
|
12.28.4. Recent
Development |
|
|
12.29. Tibco Software |
|
|
12.29.1. Company Overview |
|
|
12.29.2. Products Offered |
|
|
12.29.3. Financials |
|
|
12.29.4. Recent
Development |
|
|
12.30. Zaloni |
|
|
12.30.1. Company Overview |
|
|
12.30.2. Products Offered |
|
|
12.30.3. Financials |
|
|
12.30.4. Recent
Development |
|
|
12.31. Zeenea |
|
|
12.31.1. Company Overview |
|
|
12.31.2. Products Offered |
|
|
12.31.3. Financials |
|
|
12.31.4. Recent
Development |
|
|
Chapter
13. Research Methodology |
|
|
13.1. Research Sources |
|
|
13.1.1. Primary |
|
|
12.1.2. Secondary |
|
|
12.2. Market Size Estimation |
|
|
Chapter
14. Appendix |
|
|
14.1.
Discussion guide |
|
|
14.2.
Knowledge Store: Zettabyte Analytics Subscription Portal |
|
|
14.3.
Available Customizations |
|
|
14.4.
Associated Zettabyte Analytics Reports |
|
|
List of
Tables |
|
|
Table 1 |
Data
Catalog Market, By Component (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Table 2 |
Solutions
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 3 |
Solutions
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
Table 4 |
Services
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 5 |
Services
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
Table 6 |
Data
Catalog Market, By Deployment Mode (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Table 7 |
Cloud
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 8 |
Cloud
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
Table 9 |
Data
Catalog Market, By Data Consumer (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Table 10 |
Business
Intelligence tools Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 11 |
Business
Intelligence tools Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
Table 12 |
Enterprise
Applications Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 13 |
Enterprise
Applications Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
Table 14 |
Mobile
and Web Applications Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 15 |
Mobile
and Web Applications Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
Table 16 |
Data
Catalog Market, By Vertical (Market Size and Forecast by Value - USD Million,
2022 & 2030) |
|
Table 17 |
BFSI
Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 18 |
BFSI
Market Estimates and Forecast, By Region, 2020-2030 (USD Million) |
|
Table 19 |
Retail
and eCommerce Market Estimates and Forecast, 2020-2030 (USD Million) |
|
Table 20 |
Retail
and eCommerce Market Estimates and Forecast, By Region, 2020-2030 (USD
Million) |
|
Table 21 |
North
America Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 22 |
North
America Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 23 |
North
America Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 24 |
North
America Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 25 |
North
America Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
Table 26 |
U.S. Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 27 |
U.S. Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 28 |
U.S. Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 29 |
U.S. Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 30 |
Canada
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 31 |
Canada
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 32 |
Canada
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 33 |
Canada
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 34 |
Europe
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 35 |
Europe
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 40 |
Europe
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 37 |
EuropeData
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 38 |
Europe
Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
Table 39 |
Germany
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 40 |
Germany
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 41 |
Germany
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 42 |
Germany
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 43 |
U.K. Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 44 |
U.K. Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 45 |
U.K. Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 46 |
U.K. Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 47 |
France
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 48 |
France
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 49 |
France
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 50 |
France
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 51 |
Spain
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 52 |
Spain
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 53 |
Spain
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 54 |
Spain
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 55 |
Italy
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 56 |
Italy
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 57 |
Italy
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 58 |
Italy
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 59 |
Rest of
Europe Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 60 |
Rest of
Europe Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 61 |
Rest of
Europe Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 62 |
Rest of
Europe Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 63 |
Asia
Pacific Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 64 |
Asia
Pacific Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 65 |
Asia
Pacific Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 66 |
Asia
Pacific Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 67 |
Asia
Pacific Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
Table 68 |
India
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 69 |
India
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 70 |
India
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 71 |
India
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 72 |
Japan
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 73 |
Japan
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 74 |
Japan
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 75 |
Japan
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 76 |
China
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 77 |
China
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 78 |
China
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 79 |
China
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 80 |
South
Korea Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 81 |
South
Korea Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 82 |
South
Korea Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 83 |
South
Korea Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 84 |
Australia
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 85 |
Australia
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 86 |
Australia
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 87 |
Australia
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 88 |
Rest of
Asia Pacific Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 89 |
Rest of
Asia Pacific Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 90 |
Rest of
Asia Pacific Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 91 |
Rest of
Asia Pacific Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 92 |
Middle
East & Africa Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 93 |
Middle
East & AfricaData Catalog Market, By Deployment Mode, 2020-2030 (USD
Million) |
|
Table 94 |
Middle
East & Africa Data Catalog Market, By Data Consumer, 2020-2030 (USD
Million) |
|
Table 95 |
Middle
East & Africa Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 96 |
Middle
East & Africa Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
Table 97 |
UAE Data
Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 98 |
UAE Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 99 |
UAE Data
Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 100 |
UAE Data
Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 101 |
Saudi
Arabia Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 102 |
Saudi
Arabia Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 103 |
Saudi
Arabia Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 104 |
Saudi
Arabia Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 105 |
South
Africa Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 106 |
South
Africa Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 107 |
South
Africa Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 108 |
South
Africa Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 109 |
Rest of
Middle East & Africa Data Catalog Market, By Component, 2020-2030 (USD
Million) |
|
Table 110 |
Rest of
Middle East & Africa Data Catalog Market, By Deployment Mode, 2020-2030
(USD Million) |
|
Table 111 |
Rest of
Middle East & Africa Data Catalog Market, By Data Consumer, 2020-2030
(USD Million) |
|
Table 112 |
Rest of
Middle East & Africa Data Catalog Market, By Vertical, 2020-2030 (USD
Million) |
|
Table 113 |
Latin
America Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 114 |
Latin
America Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 115 |
Latin
America Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 116 |
Latin
America Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 117 |
Latin
America Data Catalog Market, By Country, 2020-2030 (USD Million) |
|
Table 118 |
Brazil
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 119 |
Brazil Data
Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 120 |
Brazil
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 121 |
Brazil
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 122 |
Mexico
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 123 |
Mexico
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 124 |
Mexico
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 125 |
Mexico
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 126 |
Argentina
Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 127 |
Argentina
Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 128 |
Argentina
Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 129 |
Argentina
Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 130 |
Rest of
Latin America Data Catalog Market, By Component, 2020-2030 (USD Million) |
|
Table 131 |
Rest of
Latin America Data Catalog Market, By Deployment Mode, 2020-2030 (USD Million) |
|
Table 132 |
Rest of
Latin America Data Catalog Market, By Data Consumer, 2020-2030 (USD Million) |
|
Table 133 |
Rest of
Latin America Data Catalog Market, By Vertical, 2020-2030 (USD Million) |
|
Table 134 |
Product
Launch & Development in The Data Catalog Market, 2018-2021 |
|
Table 135 |
Investment
and Expansion in The Data Catalog Market, 2020-2022 |
|
Table 140 |
Partnership
& Collaboration in The Data Catalog Market, 2020-2022 |
|
Table 137 |
Merger
& Acquisition in The Data Catalog Market, 2020-2022 |
|
List of Figures |
|
|
Figure 1 |
Research
Methodology |
|
Figure 2 |
Summary
Snapshot Market Size and Forecast, USD Million, 2022 & 2030 |
|
Figure 3 |
Global
Data Catalog Market Segmentation & Impact Analysis |
|
Figure 4 |
Regulatory
Analysis |
|
Figure 5 |
COVID-19
Impact analysis on Data Catalog Market |
|
Figure 6 |
Market
Revenue Share by Manufacturers |
|
Figure 7 |
Data
Catalog Market, By Component (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Figure 8 |
Data
Catalog Market, By Deployment Mode (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Figure 9 |
Data
Catalog Market, By Data Consumer (Market Size and Forecast by Value - USD
Million, 2022 & 2030) |
|
Figure 10 |
Data
Catalog Market, By Vertical (Market Size and Forecast by Value - USD Million,
2022 & 2030) |
|
Figure 11 |
Data
Catalog Market, By Region (Market Size and Forecast by Value - USD Million,
2022 & 2030) |
1.
Research Sources
We at Zettabyte Analytics have a
detailed and related research methodology focussed on estimating the market
size and forecasted value for the given market. Comprehensive research
objectives and scope were obtained through secondary research of the parent and
peer markets. The next step was to validate our research by various market
models and primary research. Both top-down and bottom-up approaches were
employed to estimate the market. In addition to all the research reports, data
triangulation is one of the procedures used to evaluate the market size of
segments and sub-segments.
Research Methodology
1.1. Secondary Research
The secondary research study involves various sources and databases used
to analyze and collect information for the market-oriented survey of a specific
market. We use multiple databases for our exhaustive secondary research, such
as Factiva, Dun & Bradstreet, Bloomberg, Research article, Annual reports,
Press Release, and SEC filings of significant companies. Apart from this, a
dedicated set of teams continuously extracts data of key industry players and
makes an extensive and unique segmentation related to the latest market
development.
1.2. Primary Research
The primary research includes gathering data from specific domain
experts through a detailed questionnaire, emails, telephonic interviews, and
web-based surveys. The primary interviewees for this study include an expert
from the demand and supply side, such as CEOs, VPs, directors, sales heads, and
marketing managers of tire 1,2, and 3 companies across the globe.
1.3. Data Triangulation
The data triangulation is very important for any market study, thus we
at Zettabyte Analytics focus on at least three sources to ensure a high level
of accuracy. The data is triangulated by studying various factors and trends
from both supply and demand side. All the reports published and stored in our
repository follows a detailed process to obtain a reliable insight for our
clients.
1.4. In-House Verification
To validate the segmentation
and verify the data collected, our market expert ensures whether our research
analyst is considering fine distinction before analyzing the market.
1.5. Reporting
In the end,
presenting our research reports complied in a different format for straightforward
valuation such as ppt, pdf, and excel data pack is done.
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