Artificial Intelligence In Emotion Recognition Market Players, Drivers, And Forecast 2024-2033

The artificial intelligence in emotion recognition global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Artificial Intelligence In Emotion Recognition Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

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 Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

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.

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.

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

North America was the largest region in the artificial intelligence in emotion recognition market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in emotion recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Major companies operating in the artificial intelligence in emotion recognition market report are Apple Inc., Google LLC, Microsoft Corporation, Intel Corporation, International Business Machines Corporation, NEC Corporation, SoftBank Robotics Group Corp., Tobii AB, Entropik Technologies Pvt. Ltd., Kairos Inc., Raydiant Corporation, Neurotechnology, Noldus Information Technology BV, Cognitec Systems GmbH, Affectiva Inc., GestureTek Inc., Ayonix Corporation, iMotions Inc., Sony Depthsense Solutions, Elliptic Labs AS

1. Executive Summary

2. Artificial Intelligence In Emotion Recognition Market Report Structure

3. Artificial Intelligence In Emotion Recognition Market Trends And Strategies

4. Artificial Intelligence In Emotion Recognition Market – Macro Economic Scenario

5. Artificial Intelligence In Emotion Recognition Market Size And Growth

…..

27. Artificial Intelligence In Emotion Recognition Market Competitor Landscape And Company Profiles

28. Key Mergers And Acquisitions

29. Future Outlook and Potential Analysis

30. Appendix

The Business Research Company

Europe: +44 207 1930 708

Asia: +91 88972 63534

Americas: +1 315 623 0293

Email: [email protected]

LinkedIn: https://in.linkedin.com/company/the-business-research-company

Twitter: https://twitter.com/tbrc_info

Facebook: https://www.facebook.com/TheBusinessResearchCompany

YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ

Blog: https://blog.tbrc.info/

Healthcare Blog: https://healthcareresearchreports.com/

Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model