The global market for Affective Computing Services was valued at US$ 256550 million in the year 2024 and is projected to reach a revised size of US$ 678000 million by 2031, growing at a CAGR of 15.1% during the forecast period.
Affective Computing Services refers to services that use artificial intelligence and data analytics to help computer systems recognize, understand, simulate, and process human emotions. These services analyze various physiological and behavioral signals, such as facial expressions, voice tone, and body language, to infer the user's emotional state and enable more natural and effective interactions. Affective computing services encompass not only emotion recognition technologies but also emotion analysis, emotion feedback, and emotional regulation functions. Common applications include smart customer service, health monitoring systems, and virtual assistants.
The product scope includes emotion recognition platforms, voice emotion analysis services, facial expression recognition systems, and biometric feedback monitoring services. These products can accurately assess and understand users' emotional needs without direct interaction, enabling businesses to provide personalized services and solutions. In the customer relationship management (CRM) sector, affective computing services help companies develop emotion-driven marketing strategies, improving customer satisfaction and loyalty. In mental health, emotion computing can offer emotion-based psychological interventions for early detection and intervention. The applications of affective computing are not limited to business and healthcare but also extend to education, entertainment, autonomous driving, and other fields, providing emotional intelligence support for a wide range of services.
The market for affective computing services is growing rapidly, driven by several key factors: first, the fast development of artificial intelligence, particularly in natural language processing and computer vision, has significantly improved the accuracy and reliability of affective computing. Second, as smart devices (such as smartphones, smart home devices, and wearable devices) become more widespread, the demand for personalized and intelligent services is increasing, and affective computing can provide customized experiences based on users' emotions. Moreover, businesses' growing focus on enhancing customer experience and customer satisfaction has created a strong demand for emotion-driven interactions, which affective computing can help optimize, improving customer loyalty.
Market Risks
Despite the vast potential of the affective computing services market, it faces several challenges and risks. First, privacy concerns are a major obstacle, particularly when dealing with sensitive emotional data. Ensuring data privacy and lawful usage is critical for the industry's development. Second, the accuracy and cross-cultural adaptability of emotion recognition technologies still need improvement. Existing systems may face inaccuracies or biases when applied to different cultural, age, and gender groups. Lastly, ethical risks may arise, particularly when emotional data is used for personalized marketing, which may cause user discomfort or concerns over privacy infringement.
Market Concentration
Currently, the concentration of the affective computing services market is relatively low, with numerous startups and large tech companies competing. Leading companies like IBM Watson, Microsoft Azure Cognitive Services, and Affectiva offer advanced emotion computing solutions. However, as the technology is still emerging, the market share and competitiveness of different companies vary significantly, leading to a relatively fragmented market with intense competition.
Downstream Demand Trends
With increasing consumer demand for personalized services, the downstream demand for affective computing services is rising, particularly in customer service and marketing sectors. More companies are leveraging affective computing services to enhance customer interactions, improve the precision of ad targeting, and provide customized product recommendations. Additionally, the healthcare industry is becoming a major application area, using emotion analysis to identify mental health issues and provide early interventions. As virtual reality and augmented reality technologies merge, the use of affective computing in entertainment and education will further expand, offering users more immersive and interactive experiences.
This report aims to provide a comprehensive presentation of the global market for Affective Computing Services, 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 Affective Computing Services.
The Affective Computing Services market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Affective Computing Services 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 Affective Computing Services companies, new entrants, and industry chain related companies in this market with information on the revenues 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
Apple, Inc.
Microsoft Corporation
IBM
Qualcomm
Atos
Palantir Technologies
Affectiva
CrowdEmotion
Beyond Verbal
AR Affective Computing (Kairos AR)
iMotions
Cogito
RealEyes
Nviso
EmoReact
Uniphore
gestigon GmbH
Slyce
Hume AI
Emotion Research Lab
Affecter
Cipia Vision Ltd
NuraLogix
Segment by Type
Speech Sentiment Analysis
Facial Expression Analysis
Others
Segment by Application
e-Commerce and Marketing
Healthcare
Entertainment and Gaming
Automotive
Customer Service
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Affective Computing Services company 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 Affective Computing Services Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Speech Sentiment Analysis
1.2.3 Facial Expression Analysis
1.2.4 Others
1.3 Market by Application
1.3.1 Global Affective Computing Services Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 e-Commerce and Marketing
1.3.3 Healthcare
1.3.4 Entertainment and Gaming
1.3.5 Automotive
1.3.6 Customer Service
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Affective Computing Services Market Perspective (2020-2031)
2.2 Global Affective Computing Services Growth Trends by Region
2.2.1 Global Affective Computing Services Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Affective Computing Services Historic Market Size by Region (2020-2025)
2.2.3 Affective Computing Services Forecasted Market Size by Region (2026-2031)
2.3 Affective Computing Services Market Dynamics
2.3.1 Affective Computing Services Industry Trends
2.3.2 Affective Computing Services Market Drivers
2.3.3 Affective Computing Services Market Challenges
2.3.4 Affective Computing Services Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Affective Computing Services Players by Revenue
3.1.1 Global Top Affective Computing Services Players by Revenue (2020-2025)
3.1.2 Global Affective Computing Services Revenue Market Share by Players (2020-2025)
3.2 Global Top Affective Computing Services Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Affective Computing Services Revenue
3.4 Global Affective Computing Services Market Concentration Ratio
3.4.1 Global Affective Computing Services Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Affective Computing Services Revenue in 2024
3.5 Global Key Players of Affective Computing Services Head office and Area Served
3.6 Global Key Players of Affective Computing Services, Product and Application
3.7 Global Key Players of Affective Computing Services, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Affective Computing Services Breakdown Data by Type
4.1 Global Affective Computing Services Historic Market Size by Type (2020-2025)
4.2 Global Affective Computing Services Forecasted Market Size by Type (2026-2031)
5 Affective Computing Services Breakdown Data by Application
5.1 Global Affective Computing Services Historic Market Size by Application (2020-2025)
5.2 Global Affective Computing Services Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Affective Computing Services Market Size (2020-2031)
6.2 North America Affective Computing Services Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Affective Computing Services Market Size by Country (2020-2025)
6.4 North America Affective Computing Services Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Affective Computing Services Market Size (2020-2031)
7.2 Europe Affective Computing Services Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Affective Computing Services Market Size by Country (2020-2025)
7.4 Europe Affective Computing Services Market Size by Country (2026-2031)
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 Affective Computing Services Market Size (2020-2031)
8.2 Asia-Pacific Affective Computing Services Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Affective Computing Services Market Size by Region (2020-2025)
8.4 Asia-Pacific Affective Computing Services Market Size by Region (2026-2031)
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 Affective Computing Services Market Size (2020-2031)
9.2 Latin America Affective Computing Services Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Affective Computing Services Market Size by Country (2020-2025)
9.4 Latin America Affective Computing Services Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Affective Computing Services Market Size (2020-2031)
10.2 Middle East & Africa Affective Computing Services Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Affective Computing Services Market Size by Country (2020-2025)
10.4 Middle East & Africa Affective Computing Services Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Apple, Inc.
11.1.1 Apple, Inc. Company Details
11.1.2 Apple, Inc. Business Overview
11.1.3 Apple, Inc. Affective Computing Services Introduction
11.1.4 Apple, Inc. Revenue in Affective Computing Services Business (2020-2025)
11.1.5 Apple, Inc. Recent Development
11.2 Microsoft Corporation
11.2.1 Microsoft Corporation Company Details
11.2.2 Microsoft Corporation Business Overview
11.2.3 Microsoft Corporation Affective Computing Services Introduction
11.2.4 Microsoft Corporation Revenue in Affective Computing Services Business (2020-2025)
11.2.5 Microsoft Corporation Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Affective Computing Services Introduction
11.3.4 IBM Revenue in Affective Computing Services Business (2020-2025)
11.3.5 IBM Recent Development
11.4 Qualcomm
11.4.1 Qualcomm Company Details
11.4.2 Qualcomm Business Overview
11.4.3 Qualcomm Affective Computing Services Introduction
11.4.4 Qualcomm Revenue in Affective Computing Services Business (2020-2025)
11.4.5 Qualcomm Recent Development
11.5 Atos
11.5.1 Atos Company Details
11.5.2 Atos Business Overview
11.5.3 Atos Affective Computing Services Introduction
11.5.4 Atos Revenue in Affective Computing Services Business (2020-2025)
11.5.5 Atos Recent Development
11.6 Palantir Technologies
11.6.1 Palantir Technologies Company Details
11.6.2 Palantir Technologies Business Overview
11.6.3 Palantir Technologies Affective Computing Services Introduction
11.6.4 Palantir Technologies Revenue in Affective Computing Services Business (2020-2025)
11.6.5 Palantir Technologies Recent Development
11.7 Affectiva
11.7.1 Affectiva Company Details
11.7.2 Affectiva Business Overview
11.7.3 Affectiva Affective Computing Services Introduction
11.7.4 Affectiva Revenue in Affective Computing Services Business (2020-2025)
11.7.5 Affectiva Recent Development
11.8 CrowdEmotion
11.8.1 CrowdEmotion Company Details
11.8.2 CrowdEmotion Business Overview
11.8.3 CrowdEmotion Affective Computing Services Introduction
11.8.4 CrowdEmotion Revenue in Affective Computing Services Business (2020-2025)
11.8.5 CrowdEmotion Recent Development
11.9 Beyond Verbal
11.9.1 Beyond Verbal Company Details
11.9.2 Beyond Verbal Business Overview
11.9.3 Beyond Verbal Affective Computing Services Introduction
11.9.4 Beyond Verbal Revenue in Affective Computing Services Business (2020-2025)
11.9.5 Beyond Verbal Recent Development
11.10 AR Affective Computing (Kairos AR)
11.10.1 AR Affective Computing (Kairos AR) Company Details
11.10.2 AR Affective Computing (Kairos AR) Business Overview
11.10.3 AR Affective Computing (Kairos AR) Affective Computing Services Introduction
11.10.4 AR Affective Computing (Kairos AR) Revenue in Affective Computing Services Business (2020-2025)
11.10.5 AR Affective Computing (Kairos AR) Recent Development
11.11 iMotions
11.11.1 iMotions Company Details
11.11.2 iMotions Business Overview
11.11.3 iMotions Affective Computing Services Introduction
11.11.4 iMotions Revenue in Affective Computing Services Business (2020-2025)
11.11.5 iMotions Recent Development
11.12 Cogito
11.12.1 Cogito Company Details
11.12.2 Cogito Business Overview
11.12.3 Cogito Affective Computing Services Introduction
11.12.4 Cogito Revenue in Affective Computing Services Business (2020-2025)
11.12.5 Cogito Recent Development
11.13 RealEyes
11.13.1 RealEyes Company Details
11.13.2 RealEyes Business Overview
11.13.3 RealEyes Affective Computing Services Introduction
11.13.4 RealEyes Revenue in Affective Computing Services Business (2020-2025)
11.13.5 RealEyes Recent Development
11.14 Nviso
11.14.1 Nviso Company Details
11.14.2 Nviso Business Overview
11.14.3 Nviso Affective Computing Services Introduction
11.14.4 Nviso Revenue in Affective Computing Services Business (2020-2025)
11.14.5 Nviso Recent Development
11.15 EmoReact
11.15.1 EmoReact Company Details
11.15.2 EmoReact Business Overview
11.15.3 EmoReact Affective Computing Services Introduction
11.15.4 EmoReact Revenue in Affective Computing Services Business (2020-2025)
11.15.5 EmoReact Recent Development
11.16 Uniphore
11.16.1 Uniphore Company Details
11.16.2 Uniphore Business Overview
11.16.3 Uniphore Affective Computing Services Introduction
11.16.4 Uniphore Revenue in Affective Computing Services Business (2020-2025)
11.16.5 Uniphore Recent Development
11.17 gestigon GmbH
11.17.1 gestigon GmbH Company Details
11.17.2 gestigon GmbH Business Overview
11.17.3 gestigon GmbH Affective Computing Services Introduction
11.17.4 gestigon GmbH Revenue in Affective Computing Services Business (2020-2025)
11.17.5 gestigon GmbH Recent Development
11.18 Slyce
11.18.1 Slyce Company Details
11.18.2 Slyce Business Overview
11.18.3 Slyce Affective Computing Services Introduction
11.18.4 Slyce Revenue in Affective Computing Services Business (2020-2025)
11.18.5 Slyce Recent Development
11.19 Hume AI
11.19.1 Hume AI Company Details
11.19.2 Hume AI Business Overview
11.19.3 Hume AI Affective Computing Services Introduction
11.19.4 Hume AI Revenue in Affective Computing Services Business (2020-2025)
11.19.5 Hume AI Recent Development
11.20 Emotion Research Lab
11.20.1 Emotion Research Lab Company Details
11.20.2 Emotion Research Lab Business Overview
11.20.3 Emotion Research Lab Affective Computing Services Introduction
11.20.4 Emotion Research Lab Revenue in Affective Computing Services Business (2020-2025)
11.20.5 Emotion Research Lab Recent Development
11.21 Affecter
11.21.1 Affecter Company Details
11.21.2 Affecter Business Overview
11.21.3 Affecter Affective Computing Services Introduction
11.21.4 Affecter Revenue in Affective Computing Services Business (2020-2025)
11.21.5 Affecter Recent Development
11.22 Cipia Vision Ltd
11.22.1 Cipia Vision Ltd Company Details
11.22.2 Cipia Vision Ltd Business Overview
11.22.3 Cipia Vision Ltd Affective Computing Services Introduction
11.22.4 Cipia Vision Ltd Revenue in Affective Computing Services Business (2020-2025)
11.22.5 Cipia Vision Ltd Recent Development
11.23 NuraLogix
11.23.1 NuraLogix Company Details
11.23.2 NuraLogix Business Overview
11.23.3 NuraLogix Affective Computing Services Introduction
11.23.4 NuraLogix Revenue in Affective Computing Services Business (2020-2025)
11.23.5 NuraLogix Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Apple, Inc.
Microsoft Corporation
IBM
Qualcomm
Atos
Palantir Technologies
Affectiva
CrowdEmotion
Beyond Verbal
AR Affective Computing (Kairos AR)
iMotions
Cogito
RealEyes
Nviso
EmoReact
Uniphore
gestigon GmbH
Slyce
Hume AI
Emotion Research Lab
Affecter
Cipia Vision Ltd
NuraLogix
听
听
*If Applicable.
