The global emotion
detection and recognition market is foreseen to grow by 13.2%, from USD 19.87
Billion in 2021 to USD 53.58 Billion in 2029. Accretion of speech-based emotion
detection systems to analyze emotional states, adoption of IoT, AI, ML, and
deep learning technologies worldwide to increase demand, rising need for
socially intelligent artificial agents are some of the factors driving the
market for the estimated forecast period. However, high production cost of
emotion detection and recognition systems, oligopoly in the development of the
speech and voice recognition technologies using neural networks restricting
their use for cloud-based services are seen to hamper the market growth for the
estimated period.
Market Definition
What is Emotion Detection
And Recognition Market?
Emotion
detection recognition (EDR) is a method used for detection and recognition of
human emotions with the incorporation of technological capabilities, such as
facial recognition, speech and voice recognition, biosensing, machine learning,
and pattern recognition.
Market Overview
The
emotion detection and recognition market search study helps to
thoroughly understand the current trend in the market competitive analysis of
the players in the emerging market. Moreover, the DRO in the emotion detection
and recognition market offers valuable perspicuity and a current scenario for
making the right decision. The research study covers the eminent players in the
market with a detailed analysis of the company and a financial overview
containing their net sales, business mix and geographical reach It mainly
focuses on the key developments of the products/services offered by the company
in recent years. Besides, we at Zettabyte have the expertise to analyses the
global emotion detection and recognition market player's competitive landscape
helping the client comprehend their specific strategic growth approaches.
emotion
detection and recognition Market study by "Zettabyte Analytics"
offers details about the market scope, market segmentation, technological
advancement in the emotion detection and recognition market and highlights the
optimistic, competitive landscape and trends enduring over the years.
Major players in
the emotion detection and recognition market include Affectiva, Apple,
Ayonix, Beyond Verbal, Cognitec, Crowdemotion, Elliptic Labs, Eyeris,
Gesturetek, Google, IBM, Imotions, Intel, Kairos, Microsoft, NEC, Noldus,
Numenta, Nviso, Pointgrab, Pyreos, Sentiance, Sightcorp, Sony Depthsensing
Solutions, Tobii.
COVID-19 Impact on Global Emotion
Detection And Recognition Market
The global impact
of COVID-19 has lost millions of lives with a massive cost to the healthcare
system. Moreover, the treatment cost for patients with COVID-19 has also had a
financial impact globally. The impact of COVID-19 on the emotion detection and
recognition Market has forced the companies to change their sourcing, pricing,
and promotion strategies. The emotion detection and recognition market players
are seen focusing more on optimizing the Data Centre & Networking with the
rising innovations in the digital sector, which are creating new business
models for the Data Centre & Networking industry player.
Research Scope
The report
provides market value for the base year 2021 and a yearly forecast from 2022 to
2029 in revenue (USD Million/ Billion). The market for each segment is present
in North America, Europe, Asia Pacific, Latin America, Middle East &
Africa, and the regional basis for the forecast mentioned above.
Key industry
dynamics, regulatory scenarios, major material dynamics and emotion detection
and recognition Market future markets are analyzed to understand their impact
on demand for the forecast period. Growth rates have been estimated using
correlation, regression and time-series analysis.
Market Segmentation
For the purpose
of this report, the global emotion detection and recognition market segmented
on the basis of technology, component, software, verticals, application, end
user, and region:
Technology
|
Biosensors Technology
|
Feature Extraction and 3D
Modelling
|
Machine Learning (ML)
|
Natural Learning
Processing (NLP)
|
Other Technologies
|
Big Data Analytics
|
|
Records Management Technology
|
|
|
Component
|
Services
|
Software
|
|
|
Software
|
Biosensing Solutions and
Apps
|
Facial Expression
Recognition
|
Gesture and Posture
Recognition
|
Speech and Voice
Recognition
|
|
|
Verticals
|
Academia and Research
|
Automotive
|
BFSI
|
Healthcare and Social
Assistance
|
IT and ITES
|
Media and Entertainment
|
Retail and eCommerce
|
Telecommunications
|
Other Verticals
|
|
|
End Users
|
Commercial
|
Defense and Security
Agency
|
Enterprises
|
Industrial
|
Other End User
|
People using wearable
devices
|
|
Mobile phones
|
|
Independent institutions
|
|
|
Application Areas
|
Entertainment and
Consumer Electronics
|
Law Enforcement,
Surveillance, and Monitoring
|
Marketing and Advertising
|
Medical Emergency
|
Other Application areas
|
Robotics
|
|
Elearning
|
Technology Outlook:
On the basis of
technology, the market is segmented into biosensors technology, feature
extraction and 3D modelling, machine learning (ML), natural learning processing
(NLP), and other technologies.
Figure 1 Technology Outlook (Revenue, USD
Million, 2021)

Component Outlook:
On the basis of
component, the market is segmented into services, software.
Software Outlook:
On the basis of
software, the market is segmented into biosensing solutions and apps, facial
expression recognition, gesture and posture recognition, speech and voice
recognition.
Figure 2 Emotion Detection And Recognition Market
By Software (Market Size And Forecast By Value USD Million, 2021 & 2029)