Emotion intelligence (AI) is a subset of artificial intelligence (AI) that investigates, responds to, and propagates human emotions. It is frequently referred to as affective computing or affective AI. It evaluates human emotional reactions from text, audio, and video sources. It focuses on natural language processing (NLP), sentiment analysis, voice emotion AI, and facial movement analysis. Additionally, a technology known as sentiment analysis is occasionally employed in fields such as marketing, where it is utilized for product review analysis and suggestion customization, and finance, where it can be used to predict stock movement.
The increasing adoption of AI and ML technologies across multiple industries has increased the demand for these solutions. The integration of digital solutions and AI/ML has enhanced the capabilities of industries, enabling them to execute more complex tasks, make intelligent decisions, and adapt to changing environments. Algorithms based on AI and ML provide businesses with superior perception and decision-making capabilities. In addition, it can navigate dynamic environments, categorize human responses, and respond to unstructured situations, resulting in increased autonomy and adaptability.
E-commerce and retail are booming in Asia, and businesses are using emotion AI to personalize customer experiences, gather insights, and enhance user engagement. This is being adopted in the healthcare sector for patient engagement, mental health support, and telemedicine. It helps monitor patients' emotional well-being, particularly in remote and underserved areas. The Asia Pacific region strongly focuses on education, and EdTech companies are using this to create emotionally intelligent educational content and tools. In light of the above-mentioned factors, the market will grow significantly in the Asia Pacific region.
The China market dominated the Asia Pacific Others Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $47.1 million by 2030. The Japan market is registering a CAGR of 23.3% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 24.9% during (2023 - 2030).
Based on Component, the market is segmented into Software, and Service. Based on Enterprise Size, the market is segmented into Large Enterprises, Small & Medium-sized Enterprises. Based on Vertical, the market is segmented into Retail & E-commerce, BFSI, Media & Entertainment, Healthcare, IT & Telecom, Government & Defense, Automotive, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Cogito Corporation, Eyeris Technologies, Inc., Apple, Inc., Smart Eye A/S (Affectiva, Inc.), NuraLogix Corporation, Realeyes OU, NVISO SA, and Emotibot Technologies Limited
Scope of the Study
Market Segments Covered in the Report:
By Component- Software
- Service
- Large Enterprises
- Small & Medium-sized Enterprises
- Retail & E-commerce
- BFSI
- Media & Entertainment
- Healthcare
- IT & Telecom
- Government & Defense
- Automotive
- Others
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- Microsoft Corporation
- Cogito Corporation
- Eyeris Technologies, Inc.
- Apple, Inc.
- Smart Eye A/S (Affectiva, Inc.)
- NuraLogix Corporation
- Realeyes OU
- NVISO SA
- Emotibot Technologies Limited
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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Table of Contents
Companies Mentioned
- IBM Corporation
- Microsoft Corporation
- Cogito Corporation
- Eyeris Technologies, Inc.
- Apple, Inc.
- Smart Eye A/S (Affectiva, Inc.)
- NuraLogix Corporation
- Realeyes OU
- NVISO SA
- Emotibot Technologies Limited
Methodology
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