Emotion AI is a field of computer science that helps machines or robots to gain an understanding of human emotions. Emotion AI appears in several forms. The primary kind recognizes feelings in individuals. This type of technology has significant promise for diagnosis in the field of mental healthcare. In addition, it may be used to track resiliency in illnesses including cancer in terms of physical health.
Moreover, AI-powered solutions have the capacity to continually monitor networks, endpoints, and systems, allowing for quick reaction and real-time visibility into any situation. This further leads to more accurate and effective business operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the emotion detection solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, emotion AI solutions are also set to influence industries like healthcare, insurance, education and transportation, which are further expected to contribute to the growth of global market. Moreover, the surge in usage of internet devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global emotion AI market. Moreover, growing demand for flexible emotion recognition services across businesses is expected to fuel the growth of the market during the forecast period.
Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth. Also, the surge in usage of IoT devices in various applications and the rising amount of data generated by these internet devices creates lucrative opportunities for the global emotion AI market. Moreover, the growing demand for flexible digital services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.
The emotion AI market is segmented into components, enterprise size, application and region. On the basis of component, it is bifurcated into software and service. By enterprise size, it is divided into large enterprise and small and medium-sized enterprises. By application, it is categorized into BFSI, healthcare, IT & telecommunication, retail and e-commerce, government, media and entertainment, automotive, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global emotion AI market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include IBM Corporation, Microsoft Corporation, Cogito Corporation, Eyesight Technologies, Apple, Inc., Affectiva, Nuralogix Corporation, Realeyes, NVISO, and Emotibot.
Moreover, AI-powered solutions have the capacity to continually monitor networks, endpoints, and systems, allowing for quick reaction and real-time visibility into any situation. This further leads to more accurate and effective business operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the emotion detection solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, emotion AI solutions are also set to influence industries like healthcare, insurance, education and transportation, which are further expected to contribute to the growth of global market. Moreover, the surge in usage of internet devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global emotion AI market. Moreover, growing demand for flexible emotion recognition services across businesses is expected to fuel the growth of the market during the forecast period.
Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth. Also, the surge in usage of IoT devices in various applications and the rising amount of data generated by these internet devices creates lucrative opportunities for the global emotion AI market. Moreover, the growing demand for flexible digital services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.
The emotion AI market is segmented into components, enterprise size, application and region. On the basis of component, it is bifurcated into software and service. By enterprise size, it is divided into large enterprise and small and medium-sized enterprises. By application, it is categorized into BFSI, healthcare, IT & telecommunication, retail and e-commerce, government, media and entertainment, automotive, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global emotion AI market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include IBM Corporation, Microsoft Corporation, Cogito Corporation, Eyesight Technologies, Apple, Inc., Affectiva, Nuralogix Corporation, Realeyes, NVISO, and Emotibot.
Key Benefits For Stakeholders
- The study provides an in-depth analysis of the emotion AI market forecast along with the current and future trends to explain the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on emotion AI market trends is provided in the report.
- The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the emotion AI market from 2022 to 2032 is provided to determine the market potential.
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- Investment Opportunities
- Technology Trend Analysis
- Regulatory Guidelines
- Strategic Recommedations
- Expanded list for Company Profiles
- SWOT Analysis
Key Market Segments
By Component
- Software
- Service
By Enterprise Size
- Large Enterprises
- Small and Medium-sized Enterprises
By Application
- BFSI
- Healthcare
- IT and Telecommunication
- Retail and E-commerce
- Government
- Media and Entertainment
- Automotive
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- Microsoft Corporation
- Apple, Inc.
- Affectiva
- NVISO
- Realeyes
- Cipia Vision Ltd.
- Cogito Corporation
- NuraLogix Corporation
- Emotibot
- IBM Corporation
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Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: EMOTION AI MARKET, BY COMPONENT
CHAPTER 5: EMOTION AI MARKET, BY ENTERPRISE SIZE
CHAPTER 6: EMOTION AI MARKET, BY APPLICATION
CHAPTER 7: EMOTION AI MARKET, BY REGION
CHAPTER 8: COMPETITIVE LANDSCAPE
CHAPTER 9: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report, the emotion AI market was valued at $1.8 billion in 2022, and is estimated to reach $13.8 billion by 2032, growing at a CAGR of 22.7% from 2023 to 2032.The Emotion AI Market is likely to experience a significant growth rate of 22.7% from 2023-2032, owing to the rise in market demand for emotion AI technology solutions in several industries
The emotion artificial intelligence (AI) has ability to capture and analyze human gestures and emotions, it is being widely adopted in several organizations including healthcare, manufacturing, and other sectors which is expected to propel the market growth in the coming years. In addition, several large and small-sized enterprises are increasingly employing emotion AI solutions to expand their portfolio.
Furthermore, AI-powered solutions have the capacity to continually monitor networks, endpoints, and systems, allowing for quick reaction and real-time visibility into any situation. This further leads to more accurate and effective business operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the emotion detection solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, emotion AI solutions are also set to influence industries like healthcare, insurance, education and transportation, which are further expected to contribute to the growth of global market. Moreover, the surge in usage of internet devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global emotion AI market. Moreover, growing demand for flexible emotion recognition services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.
Moreover, substantial growth in AI and ML technologies and the increase in adoption of biometrics and facial recognition positively impact the growth of the market in the future. In addition, surge in the usage of emotion detection solutions in several industries is driving global market growth. However, the high cost of application and development, and data storage and management hamper market growth. Furthermore, integration in IoT-based technologies and expansion of wearable devices in various applications creates opportunities for semantic web market growth.
The emotion AI market is segmented into components, enterprise size, application and region. On the basis of component, it is bifurcated into software and service. By enterprise size, it is divided into large enterprise and small and medium-sized enterprises. By application, it is categorized into BFSI, healthcare, IT & telecommunication, retail and e-commerce, government, media and entertainment, automotive, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global emotion AI market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include IBM Corporation, Microsoft Corporation, Cogito Corporation, Eyesight Technologies, Apple, Inc., Affectiva, Nuralogix Corporation, Realeyes, NVISO, and Emotibot. For instance, in September 2023, Affectiva launched a new attention metric in its cloud-based Emotion AI offering. This metric, bolstered by Smart Eye's advanced automotive safety-grade eye tracking technology, represents a significant leap in viewer attention measurement for brands, advertisers, entertainment companies, and their market researchers.
Key Market Insights
By component, the software segment was the highest revenue contributor to the market in 2022, and is estimated to reach $8.37 billion by 2032, with a CAGR of 21.3%. However, the cloud segment is expected to be the fastest-growing segment with a CAGR of 25.4% during the forecast period.By enterprise size, the large enterprises segment dominated the global market share in 2022, and is estimated to reach $8.32 billion by 2032, with a CAGR of 21.6%, However, the small and medium-sized enterprises segment is expected to be the fastest-growing segment with a CAGR of 24.7% during the forecast period.
By application, the retail and e-commerce segment was the highest revenue contributor to the market in 2022, and is estimated to reach $2.25 billion by 2032, with a CAGR of 17.5%. However, the medium and entertainment segment is estimated to be the fastest-growing segment with a CAGR of 28.2% during the forecast period.
Region-wise, North America was the highest revenue contributor, accounting for $667.75 million in 2022 and is estimated to reach $4.21 billion by 2032, with a CAGR of 20.5%.
Companies Mentioned
- Microsoft Corporation
- Apple, Inc.
- Affectiva
- NVISO
- Realeyes
- Cipia Vision Ltd.
- Cogito Corporation
- NuraLogix Corporation
- Emotibot
- IBM Corporation
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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