The Artificial Intelligence In Emotion Recognition Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Artificial Intelligence In Emotion Recognition Global Market Report 2024, The artificial intelligence in emotion recognition market size has grown rapidly in recent years. It will grow from $1.04 billion in 2023 to $1.22 billion in 2024 at a compound annual growth rate (CAGR) of 18.0%. The growth in the historic period can be attributed to increased availability of diverse datasets, rise in the adoption of deep learning, integration with human-computer interaction, demand for customer experience enhancement, applications in mental health.

The artificial intelligence in emotion recognition market size is expected to see rapid growth in the next few years. It will grow to $2.35 billion in 2028 at a compound annual growth rate (CAGR) of 17.8%. The growth in the forecast period can be attributed to integration with wearable devices, expansion in automotive industry applications, enhanced cross-cultural adaptation, rising use in human resources, incorporation into virtual assistants. Major trends in the forecast period include advancements in facial recognition technology, multimodal emotion recognition, real-time emotion analysis, ai-driven personalization, emotion recognition in human-computer interaction.

The increasing need for advanced marketing tools is expected to propel the growth of artificial intelligence in the emotion recognition market going forward. Advanced marketing tools refer to a set of sophisticated and technologically advanced solutions designed to enhance various aspects of marketing strategies, campaigns, and overall performance. Emotion recognition technology enables marketers to create personalized campaigns by understanding individual emotional responses, allowing tailored content and advertisements that match the emotional profiles of specific audience segments for more effective and resonant communication. For instance, in January 2024, according to a report published by Influencer Marketing Hub, a Denmark-based media company specializing in social media and influencer marketing, over 60% of businesses use AI in marketing, with 44% employing AI for content production. The forecast suggests that by 2030, around 70% of companies will likely adopt various forms of AI technology. Therefore, the increasing need for advanced marketing tools will drive the use of artificial intelligence in the emotion recognition market.

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The artificial intelligence in emotion recognition market covered in this report is segmented –
1) By Offerings: Software, Services
2) By Tools: Facial Expression Recognition, Speech And Voice Recognition, Gesture And Posture Recognition
3) By Technology: Machine Learning, Bio Sensors Technology, Natural Language Processing, Feature Extraction, Pattern Recognition
4) By Application, Marketing And Advertising, Surveillance And Monitoring, Medical Emergency, Robotics And eLearning, Other Applications
5) By End-Use Verticals: Banking, Financial Services, And Insurance (BFSI), Healthcare And Life Sciences, IT And Telecommunication, Retail and eCommerce, Education, Media And Entertainment, Automotive, Other End-Users

Major companies operating in artificial intelligence in emotion recognition market are developing technical breakthroughs in AI, such as AI-based audience segmentation, to enhance the accuracy and personalization of emotion recognition, enabling more effective and tailored emotion recognition products. AI-based audience segmentation refers to the process of using artificial intelligence algorithms and technologies to categorize a target audience into distinct and meaningful groups based on various criteria. For instance, in September 2023, AB Tasty, a France-based customer experience optimization company, introduced EmotionsAI, a technology allowing customers to implement AI-driven audience segmentation based on emotional needs. This innovative product empowers brands to personalize interactions with customers on an emotional level, marking AB Tasty's initial venture into harnessing AI for enhanced digital experiences. EmotionsAI facilitates improved win rates and the development of more effective strategies for personalizing customer experiences, a proven method for driving revenue. This technology revolutionizes brands' capacity to tailor customer experiences by focusing on emotional needs.

The artificial intelligence in emotion recognition market report table of contents includes:
1. Executive Summary
2. Artificial Intelligence In Life Sciences Market Characteristics
3. Artificial Intelligence In Life Sciences Market Trends And Strategies
4. Artificial Intelligence In Life Sciences Market - Macro Economic Scenario
5. Global Artificial Intelligence In Life Sciences Market Size and Growth
.....
32. Global Artificial Intelligence In Life Sciences Market Competitive Benchmarking
33. Global Artificial Intelligence In Life Sciences Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence In Life Sciences Market
35. Artificial Intelligence In Life Sciences Market Future Outlook and Potential Analysis
36. Appendix

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