Abstract
Summary
The global market for Emotion Recognition System was estimated to be worth US$ 40110 million in 2023 and is forecast to a readjusted size of US$ 138650 million by 2030 with a CAGR of 19.4% during the forecast period 2024-2030
Emotion recognition systems are technologies used to identify and understand human emotional states, expressions and emotions. These systems typically use data such as biometrics, speech, text, or images to analyze and infer emotions. Emotion recognition systems have wide applications in many fields, including emotional intelligence, human-computer interaction, market research, and mental health. Future trends include more multimodal sentiment analysis, which combines multiple data sources such as speech, images, and text to improve the accuracy of emotion recognition.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Emotion Recognition System, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Emotion Recognition System by region & country, by Type, and by Application.
The Emotion Recognition System market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Emotion Recognition System.
Market Segmentation
By Company
Affectiva
Emotient
Kairos Ar
Realeyes
Noldus
Tobii
Crowd Emotion
Emospeech
BeyondVerbal
Good Vibrations
Segment by Type:
Bio-Sensors Technology
Pattern Recognition
Natural Language Processing
Machine Learning
Other
Segment by Application
Medical Emergency and Healthcare
Marketing and Advertisement
Law Enforcement
Entertainment and consumer Electronics
Other
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Emotion Recognition System manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Emotion Recognition System in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Emotion Recognition System in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Emotion recognition systems are technologies used to identify and understand human emotional states, expressions and emotions. These systems typically use data such as biometrics, speech, text, or images to analyze and infer emotions. Emotion recognition systems have wide applications in many fields, including emotional intelligence, human-computer interaction, market research, and mental health. Future trends include more multimodal sentiment analysis, which combines multiple data sources such as speech, images, and text to improve the accuracy of emotion recognition.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Emotion Recognition System, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Emotion Recognition System by region & country, by Type, and by Application.
The Emotion Recognition System market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Emotion Recognition System.
Market Segmentation
By Company
Affectiva
Emotient
Kairos Ar
Realeyes
Noldus
Tobii
Crowd Emotion
Emospeech
BeyondVerbal
Good Vibrations
Segment by Type:
Bio-Sensors Technology
Pattern Recognition
Natural Language Processing
Machine Learning
Other
Segment by Application
Medical Emergency and Healthcare
Marketing and Advertisement
Law Enforcement
Entertainment and consumer Electronics
Other
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Emotion Recognition System manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Emotion Recognition System in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Emotion Recognition System in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
1.1 Emotion Recognition System Product Introduction
1.2 Global Emotion Recognition System Market Size Forecast
1.3 Emotion Recognition System Market Trends & Drivers
1.3.1 Emotion Recognition System Industry Trends
1.3.2 Emotion Recognition System Market Drivers & Opportunity
1.3.3 Emotion Recognition System Market Challenges
1.3.4 Emotion Recognition System Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Emotion Recognition System Players Revenue Ranking (2023)
2.2 Global Emotion Recognition System Revenue by Company (2019-2024)
2.3 Key Companies Emotion Recognition System Manufacturing Base Distribution and Headquarters
2.4 Key Companies Emotion Recognition System Product Offered
2.5 Key Companies Time to Begin Mass Production of Emotion Recognition System
2.6 Emotion Recognition System Market Competitive Analysis
2.6.1 Emotion Recognition System Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Emotion Recognition System Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Emotion Recognition System as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Bio-Sensors Technology
3.1.2 Pattern Recognition
3.1.3 Natural Language Processing
3.1.4 Machine Learning
3.1.5 Other
3.2 Global Emotion Recognition System Sales Value by Type
3.2.1 Global Emotion Recognition System Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Emotion Recognition System Sales Value, by Type (2019-2030)
3.2.3 Global Emotion Recognition System Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Medical Emergency and Healthcare
4.1.2 Marketing and Advertisement
4.1.3 Law Enforcement
4.1.4 Entertainment and consumer Electronics
4.1.5 Other
4.2 Global Emotion Recognition System Sales Value by Application
4.2.1 Global Emotion Recognition System Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Emotion Recognition System Sales Value, by Application (2019-2030)
4.2.3 Global Emotion Recognition System Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Emotion Recognition System Sales Value by Region
5.1.1 Global Emotion Recognition System Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Emotion Recognition System Sales Value by Region (2019-2024)
5.1.3 Global Emotion Recognition System Sales Value by Region (2025-2030)
5.1.4 Global Emotion Recognition System Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Emotion Recognition System Sales Value, 2019-2030
5.2.2 North America Emotion Recognition System Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Emotion Recognition System Sales Value, 2019-2030
5.3.2 Europe Emotion Recognition System Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Emotion Recognition System Sales Value, 2019-2030
5.4.2 Asia Pacific Emotion Recognition System Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Emotion Recognition System Sales Value, 2019-2030
5.5.2 South America Emotion Recognition System Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Emotion Recognition System Sales Value, 2019-2030
5.6.2 Middle East & Africa Emotion Recognition System Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Emotion Recognition System Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Emotion Recognition System Sales Value
6.3 United States
6.3.1 United States Emotion Recognition System Sales Value, 2019-2030
6.3.2 United States Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Emotion Recognition System Sales Value, 2019-2030
6.4.2 Europe Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Emotion Recognition System Sales Value, 2019-2030
6.5.2 China Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.5.3 China Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Emotion Recognition System Sales Value, 2019-2030
6.6.2 Japan Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Emotion Recognition System Sales Value, 2019-2030
6.7.2 South Korea Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Emotion Recognition System Sales Value, 2019-2030
6.8.2 Southeast Asia Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Emotion Recognition System Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Emotion Recognition System Sales Value, 2019-2030
6.9.2 India Emotion Recognition System Sales Value by Type (%), 2023 VS 2030
6.9.3 India Emotion Recognition System Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Affectiva
7.1.1 Affectiva Profile
7.1.2 Affectiva Main Business
7.1.3 Affectiva Emotion Recognition System Products, Services and Solutions
7.1.4 Affectiva Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.1.5 Affectiva Recent Developments
7.2 Emotient
7.2.1 Emotient Profile
7.2.2 Emotient Main Business
7.2.3 Emotient Emotion Recognition System Products, Services and Solutions
7.2.4 Emotient Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.2.5 Emotient Recent Developments
7.3 Kairos Ar
7.3.1 Kairos Ar Profile
7.3.2 Kairos Ar Main Business
7.3.3 Kairos Ar Emotion Recognition System Products, Services and Solutions
7.3.4 Kairos Ar Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.3.5 Realeyes Recent Developments
7.4 Realeyes
7.4.1 Realeyes Profile
7.4.2 Realeyes Main Business
7.4.3 Realeyes Emotion Recognition System Products, Services and Solutions
7.4.4 Realeyes Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.4.5 Realeyes Recent Developments
7.5 Noldus
7.5.1 Noldus Profile
7.5.2 Noldus Main Business
7.5.3 Noldus Emotion Recognition System Products, Services and Solutions
7.5.4 Noldus Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.5.5 Noldus Recent Developments
7.6 Tobii
7.6.1 Tobii Profile
7.6.2 Tobii Main Business
7.6.3 Tobii Emotion Recognition System Products, Services and Solutions
7.6.4 Tobii Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.6.5 Tobii Recent Developments
7.7 Crowd Emotion
7.7.1 Crowd Emotion Profile
7.7.2 Crowd Emotion Main Business
7.7.3 Crowd Emotion Emotion Recognition System Products, Services and Solutions
7.7.4 Crowd Emotion Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.7.5 Crowd Emotion Recent Developments
7.8 Emospeech
7.8.1 Emospeech Profile
7.8.2 Emospeech Main Business
7.8.3 Emospeech Emotion Recognition System Products, Services and Solutions
7.8.4 Emospeech Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.8.5 Emospeech Recent Developments
7.9 BeyondVerbal
7.9.1 BeyondVerbal Profile
7.9.2 BeyondVerbal Main Business
7.9.3 BeyondVerbal Emotion Recognition System Products, Services and Solutions
7.9.4 BeyondVerbal Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.9.5 BeyondVerbal Recent Developments
7.10 Good Vibrations
7.10.1 Good Vibrations Profile
7.10.2 Good Vibrations Main Business
7.10.3 Good Vibrations Emotion Recognition System Products, Services and Solutions
7.10.4 Good Vibrations Emotion Recognition System Revenue (US$ Million) & (2019-2024)
7.10.5 Good Vibrations Recent Developments
8 Industry Chain Analysis
8.1 Emotion Recognition System Industrial Chain
8.2 Emotion Recognition System Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Emotion Recognition System Sales Model
8.5.2 Sales Channel
8.5.3 Emotion Recognition System Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer