2026 Global: Artificial Intelligence-Emotion Recognition-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence-Emotion Recognition-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence-emotion recognition by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence-emotion recognition market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Microsoft, IBM, and Google lead the Artificial Intelligence-Emotion Recognition sector with comprehensive platforms integrating multimodal analysis across text, voice, and facial cues. Microsoft's Azure AI delivers scalable emotion recognition APIs for automotive and healthcare, emphasizing ethical deployment and real-time sentiment processing. IBM's Watson suite excels in explainable AI for customer service and behavioral analytics, using NLP libraries to monitor patient emotions in telehealth. Google's Cloud tools leverage neural networks for rapid facial and voice detection, prioritizing privacy in user experience enhancements.
Affectiva (now Smart Eye), Realeyes, and nviso SA dominate specialized facial and multimodal emotion analytics. Affectiva pioneers automotive-grade solutions interpreting expressions for driver monitoring, benchmarked in immersive entertainment. Realeyes provides video-focused emotion measurement for advertising and media, enhancing customer insights through cloud-native tools. nviso SA advances edge computing for on-device recognition in healthcare and consumer electronics, fusing facial, voice, and physiological signals with high accuracy.
Uniphore, Kairos, and Cogito round out the top ten, focusing on conversational and enterprise applications. Uniphore combines emotion recognition with voice analysis for empathetic customer interactions in automation. Kairos offers privacy-first APIs for identity verification and HR emotion analysis, mitigating bias in financial services. Cogito enhances call center feedback via behavioral analytics, improving real-time empathetic communication across industries. These firms drive market growth projected to $38.50 billion by 2035, fueled by cloud ecosystems and vertical innovations.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence-emotion recognition by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence-emotion recognition market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Microsoft, IBM, and Google lead the Artificial Intelligence-Emotion Recognition sector with comprehensive platforms integrating multimodal analysis across text, voice, and facial cues. Microsoft's Azure AI delivers scalable emotion recognition APIs for automotive and healthcare, emphasizing ethical deployment and real-time sentiment processing. IBM's Watson suite excels in explainable AI for customer service and behavioral analytics, using NLP libraries to monitor patient emotions in telehealth. Google's Cloud tools leverage neural networks for rapid facial and voice detection, prioritizing privacy in user experience enhancements.
Affectiva (now Smart Eye), Realeyes, and nviso SA dominate specialized facial and multimodal emotion analytics. Affectiva pioneers automotive-grade solutions interpreting expressions for driver monitoring, benchmarked in immersive entertainment. Realeyes provides video-focused emotion measurement for advertising and media, enhancing customer insights through cloud-native tools. nviso SA advances edge computing for on-device recognition in healthcare and consumer electronics, fusing facial, voice, and physiological signals with high accuracy.
Uniphore, Kairos, and Cogito round out the top ten, focusing on conversational and enterprise applications. Uniphore combines emotion recognition with voice analysis for empathetic customer interactions in automation. Kairos offers privacy-first APIs for identity verification and HR emotion analysis, mitigating bias in financial services. Cogito enhances call center feedback via behavioral analytics, improving real-time empathetic communication across industries. These firms drive market growth projected to $38.50 billion by 2035, fueled by cloud ecosystems and vertical innovations.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
Search Inside Report
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.