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Emotion Recognition-Global Market Insights and Sales Trends 2025
Synopsis
Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed.
The global Emotion Recognition market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Emotion Recognition in various end use industries. The expanding demands from the Artificial Intelligence, Advertisement and Other, are propelling Emotion Recognition market. Detecting Physiological Signals, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Detecting Emotional Behavior segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Emotion Recognition market, driven by demand from China, the second largest economy with some signs of stabilising, the Emotion Recognition market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Emotion Recognition, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Emotion Recognition market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Emotion Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Emotion Recognition sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Emotion Recognition covered in this report include Microsoft, IBM, Qemotion, AYLIEN, MoodPatrol, indiCo, Lexalytics, Datumbox and Optimiser, etc.
The global Emotion Recognition market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft
IBM
Qemotion
AYLIEN
MoodPatrol
indiCo
Lexalytics
Datumbox
Optimiser
Google
Apple
Affectiva
Kairos
Eyeris
Global Emotion Recognition market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Emotion Recognition market, Segment by Type:
Detecting Physiological Signals
Detecting Emotional Behavior
Global Emotion Recognition market, by Application
Artificial Intelligence
Advertisement
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Emotion Recognition companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed.
The global Emotion Recognition market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Emotion Recognition in various end use industries. The expanding demands from the Artificial Intelligence, Advertisement and Other, are propelling Emotion Recognition market. Detecting Physiological Signals, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Detecting Emotional Behavior segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Emotion Recognition market, driven by demand from China, the second largest economy with some signs of stabilising, the Emotion Recognition market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Emotion Recognition, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Emotion Recognition market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Emotion Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Emotion Recognition sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Emotion Recognition covered in this report include Microsoft, IBM, Qemotion, AYLIEN, MoodPatrol, indiCo, Lexalytics, Datumbox and Optimiser, etc.
The global Emotion Recognition market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft
IBM
Qemotion
AYLIEN
MoodPatrol
indiCo
Lexalytics
Datumbox
Optimiser
Apple
Affectiva
Kairos
Eyeris
Global Emotion Recognition market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Emotion Recognition market, Segment by Type:
Detecting Physiological Signals
Detecting Emotional Behavior
Global Emotion Recognition market, by Application
Artificial Intelligence
Advertisement
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Emotion Recognition companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Emotion Recognition
1.1 Emotion Recognition Market Overview
1.1.1 Emotion Recognition Product Scope
1.1.2 Emotion Recognition Market Status and Outlook
1.2 Global Emotion Recognition Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Emotion Recognition Market Size by Region (2018-2029)
1.4 Global Emotion Recognition Historic Market Size by Region (2018-2023)
1.5 Global Emotion Recognition Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Emotion Recognition Market Size (2018-2029)
1.6.1 North America Emotion Recognition Market Size (2018-2029)
1.6.2 Europe Emotion Recognition Market Size (2018-2029)
1.6.3 Asia-Pacific Emotion Recognition Market Size (2018-2029)
1.6.4 Latin America Emotion Recognition Market Size (2018-2029)
1.6.5 Middle East & Africa Emotion Recognition Market Size (2018-2029)
2 Emotion Recognition Market by Type
2.1 Introduction
2.1.1 Detecting Physiological Signals
2.1.2 Detecting Emotional Behavior
2.2 Global Emotion Recognition Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Emotion Recognition Historic Market Size by Type (2018-2023)
2.2.2 Global Emotion Recognition Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Emotion Recognition Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Emotion Recognition Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Emotion Recognition Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Emotion Recognition Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Emotion Recognition Revenue Breakdown by Type (2018-2029)
3 Emotion Recognition Market Overview by Application
3.1 Introduction
3.1.1 Artificial Intelligence
3.1.2 Advertisement
3.1.3 Other
3.2 Global Emotion Recognition Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Emotion Recognition Historic Market Size by Application (2018-2023)
3.2.2 Global Emotion Recognition Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Emotion Recognition Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Emotion Recognition Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Emotion Recognition Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Emotion Recognition Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Emotion Recognition Revenue Breakdown by Application (2018-2029)
4 Emotion Recognition Competition Analysis by Players
4.1 Global Emotion Recognition Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Emotion Recognition as of 2022)
4.3 Date of Key Players Enter into Emotion Recognition Market
4.4 Global Top Players Emotion Recognition Headquarters and Area Served
4.5 Key Players Emotion Recognition Product Solution and Service
4.6 Competitive Status
4.6.1 Emotion Recognition Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Microsoft
5.1.1 Microsoft Profile
5.1.2 Microsoft Main Business
5.1.3 Microsoft Emotion Recognition Products, Services and Solutions
5.1.4 Microsoft Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.1.5 Microsoft Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM Emotion Recognition Products, Services and Solutions
5.2.4 IBM Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Qemotion
5.3.1 Qemotion Profile
5.3.2 Qemotion Main Business
5.3.3 Qemotion Emotion Recognition Products, Services and Solutions
5.3.4 Qemotion Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.3.5 AYLIEN Recent Developments
5.4 AYLIEN
5.4.1 AYLIEN Profile
5.4.2 AYLIEN Main Business
5.4.3 AYLIEN Emotion Recognition Products, Services and Solutions
5.4.4 AYLIEN Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.4.5 AYLIEN Recent Developments
5.5 MoodPatrol
5.5.1 MoodPatrol Profile
5.5.2 MoodPatrol Main Business
5.5.3 MoodPatrol Emotion Recognition Products, Services and Solutions
5.5.4 MoodPatrol Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.5.5 MoodPatrol Recent Developments
5.6 indiCo
5.6.1 indiCo Profile
5.6.2 indiCo Main Business
5.6.3 indiCo Emotion Recognition Products, Services and Solutions
5.6.4 indiCo Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.6.5 indiCo Recent Developments
5.7 Lexalytics
5.7.1 Lexalytics Profile
5.7.2 Lexalytics Main Business
5.7.3 Lexalytics Emotion Recognition Products, Services and Solutions
5.7.4 Lexalytics Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.7.5 Lexalytics Recent Developments
5.8 Datumbox
5.8.1 Datumbox Profile
5.8.2 Datumbox Main Business
5.8.3 Datumbox Emotion Recognition Products, Services and Solutions
5.8.4 Datumbox Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.8.5 Datumbox Recent Developments
5.9 Optimiser
5.9.1 Optimiser Profile
5.9.2 Optimiser Main Business
5.9.3 Optimiser Emotion Recognition Products, Services and Solutions
5.9.4 Optimiser Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.9.5 Optimiser Recent Developments
5.10 Google
5.10.1 Google Profile
5.10.2 Google Main Business
5.10.3 Google Emotion Recognition Products, Services and Solutions
5.10.4 Google Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.10.5 Google Recent Developments
5.11 Apple
5.11.1 Apple Profile
5.11.2 Apple Main Business
5.11.3 Apple Emotion Recognition Products, Services and Solutions
5.11.4 Apple Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.11.5 Apple Recent Developments
5.12 Affectiva
5.12.1 Affectiva Profile
5.12.2 Affectiva Main Business
5.12.3 Affectiva Emotion Recognition Products, Services and Solutions
5.12.4 Affectiva Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.12.5 Affectiva Recent Developments
5.13 Kairos
5.13.1 Kairos Profile
5.13.2 Kairos Main Business
5.13.3 Kairos Emotion Recognition Products, Services and Solutions
5.13.4 Kairos Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.13.5 Kairos Recent Developments
5.14 Eyeris
5.14.1 Eyeris Profile
5.14.2 Eyeris Main Business
5.14.3 Eyeris Emotion Recognition Products, Services and Solutions
5.14.4 Eyeris Emotion Recognition Revenue (US$ Million) & (2018-2023)
5.14.5 Eyeris Recent Developments
6 North America
6.1 North America Emotion Recognition Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Emotion Recognition Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Emotion Recognition Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Emotion Recognition Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Emotion Recognition Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Emotion Recognition Market Dynamics
11.1 Emotion Recognition Industry Trends
11.2 Emotion Recognition Market Drivers
11.3 Emotion Recognition Market Challenges
11.4 Emotion Recognition Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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