
Artificial emotional intelligence or Emotion AI is also known as emotion recognition or emotion detection technology.
The global Artificial Intelligence-Emotion Recognition market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/74 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence-Emotion Recognition, 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 Artificial Intelligence-Emotion Recognition.
Report Scope
The Artificial Intelligence-Emotion Recognition market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence-Emotion Recognition market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence-Emotion Recognition companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microsoft
Softbank
Realeyes
INTRAface
Apple
IBM
Eyeris
Beyond Verbal
Affectiva
Kairos AR
Cloudwalk
IFlytek
Nviso
CrowdEmotion
Segment by Type
Facial Emotion Recognition
Speech Emotion Recognition
Others
Segment by Application
Education
Medical Care
Wisdom Center
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence-Emotion Recognition companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence-Emotion Recognition Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Facial Emotion Recognition
1.2.3 Speech Emotion Recognition
1.2.4 Others
1.3 Market by Application
1.3.1 Global Artificial Intelligence-Emotion Recognition Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Education
1.3.3 Medical Care
1.3.4 Wisdom Center
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence-Emotion Recognition Market Perspective (2019-2030)
2.2 Artificial Intelligence-Emotion Recognition Growth Trends by Region
2.2.1 Global Artificial Intelligence-Emotion Recognition Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence-Emotion Recognition Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence-Emotion Recognition Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence-Emotion Recognition Market Dynamics
2.3.1 Artificial Intelligence-Emotion Recognition Industry Trends
2.3.2 Artificial Intelligence-Emotion Recognition Market Drivers
2.3.3 Artificial Intelligence-Emotion Recognition Market Challenges
2.3.4 Artificial Intelligence-Emotion Recognition Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence-Emotion Recognition Players by Revenue
3.1.1 Global Top Artificial Intelligence-Emotion Recognition Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence-Emotion Recognition Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence-Emotion Recognition Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence-Emotion Recognition Revenue
3.4 Global Artificial Intelligence-Emotion Recognition Market Concentration Ratio
3.4.1 Global Artificial Intelligence-Emotion Recognition Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence-Emotion Recognition Revenue in 2023
3.5 Artificial Intelligence-Emotion Recognition Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence-Emotion Recognition Product Solution and Service
3.7 Date of Enter into Artificial Intelligence-Emotion Recognition Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence-Emotion Recognition Breakdown Data by Type
4.1 Global Artificial Intelligence-Emotion Recognition Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence-Emotion Recognition Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence-Emotion Recognition Breakdown Data by Application
5.1 Global Artificial Intelligence-Emotion Recognition Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence-Emotion Recognition Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence-Emotion Recognition Market Size (2019-2030)
6.2 North America Artificial Intelligence-Emotion Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence-Emotion Recognition Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence-Emotion Recognition Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence-Emotion Recognition Market Size (2019-2030)
7.2 Europe Artificial Intelligence-Emotion Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence-Emotion Recognition Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence-Emotion Recognition Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence-Emotion Recognition Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence-Emotion Recognition Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence-Emotion Recognition Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence-Emotion Recognition Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence-Emotion Recognition Market Size (2019-2030)
9.2 Latin America Artificial Intelligence-Emotion Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence-Emotion Recognition Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence-Emotion Recognition Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Artificial Intelligence-Emotion Recognition Introduction
11.1.4 Microsoft Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Softbank
11.2.1 Softbank Company Detail
11.2.2 Softbank Business Overview
11.2.3 Softbank Artificial Intelligence-Emotion Recognition Introduction
11.2.4 Softbank Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.2.5 Softbank Recent Development
11.3 Realeyes
11.3.1 Realeyes Company Detail
11.3.2 Realeyes Business Overview
11.3.3 Realeyes Artificial Intelligence-Emotion Recognition Introduction
11.3.4 Realeyes Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.3.5 Realeyes Recent Development
11.4 INTRAface
11.4.1 INTRAface Company Detail
11.4.2 INTRAface Business Overview
11.4.3 INTRAface Artificial Intelligence-Emotion Recognition Introduction
11.4.4 INTRAface Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.4.5 INTRAface Recent Development
11.5 Apple
11.5.1 Apple Company Detail
11.5.2 Apple Business Overview
11.5.3 Apple Artificial Intelligence-Emotion Recognition Introduction
11.5.4 Apple Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.5.5 Apple Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Artificial Intelligence-Emotion Recognition Introduction
11.6.4 IBM Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.6.5 IBM Recent Development
11.7 Eyeris
11.7.1 Eyeris Company Detail
11.7.2 Eyeris Business Overview
11.7.3 Eyeris Artificial Intelligence-Emotion Recognition Introduction
11.7.4 Eyeris Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.7.5 Eyeris Recent Development
11.8 Beyond Verbal
11.8.1 Beyond Verbal Company Detail
11.8.2 Beyond Verbal Business Overview
11.8.3 Beyond Verbal Artificial Intelligence-Emotion Recognition Introduction
11.8.4 Beyond Verbal Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.8.5 Beyond Verbal Recent Development
11.9 Affectiva
11.9.1 Affectiva Company Detail
11.9.2 Affectiva Business Overview
11.9.3 Affectiva Artificial Intelligence-Emotion Recognition Introduction
11.9.4 Affectiva Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.9.5 Affectiva Recent Development
11.10 Kairos AR
11.10.1 Kairos AR Company Detail
11.10.2 Kairos AR Business Overview
11.10.3 Kairos AR Artificial Intelligence-Emotion Recognition Introduction
11.10.4 Kairos AR Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.10.5 Kairos AR Recent Development
11.11 Cloudwalk
11.11.1 Cloudwalk Company Detail
11.11.2 Cloudwalk Business Overview
11.11.3 Cloudwalk Artificial Intelligence-Emotion Recognition Introduction
11.11.4 Cloudwalk Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.11.5 Cloudwalk Recent Development
11.12 IFlytek
11.12.1 IFlytek Company Detail
11.12.2 IFlytek Business Overview
11.12.3 IFlytek Artificial Intelligence-Emotion Recognition Introduction
11.12.4 IFlytek Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.12.5 IFlytek Recent Development
11.13 Nviso
11.13.1 Nviso Company Detail
11.13.2 Nviso Business Overview
11.13.3 Nviso Artificial Intelligence-Emotion Recognition Introduction
11.13.4 Nviso Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.13.5 Nviso Recent Development
11.14 CrowdEmotion
11.14.1 CrowdEmotion Company Detail
11.14.2 CrowdEmotion Business Overview
11.14.3 CrowdEmotion Artificial Intelligence-Emotion Recognition Introduction
11.14.4 CrowdEmotion Revenue in Artificial Intelligence-Emotion Recognition Business (2019-2024)
11.14.5 CrowdEmotion Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Microsoft
Softbank
Realeyes
INTRAface
Apple
IBM
Eyeris
Beyond Verbal
Affectiva
Kairos AR
Cloudwalk
IFlytek
Nviso
CrowdEmotion
Ìý
Ìý
*If Applicable.
