Emotion Analytics Market Research Report 2024 - By Growth, Recent Trends, Key Players And Forecast To 2033

The new report published by The Business Research Company, titled ""Emotion Analytics Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033"", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

As per the report, the emotion analytics market size has grown rapidly in recent years. It will grow from $3.58 billion in 2023 to $4.15 billion in 2024 at a compound annual growth rate (CAGR) of 16.0%. The emotion analytics market size is expected to see rapid growth in the next few years. It will grow to $7.46 billion in 2028 at a compound annual growth rate (CAGR) of 15.8%.

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IoT Integration Fuels Growth In The Emotion Analytics Market
The growing adoption of IoT is expected to propel the growth of the emotion analytics market going forward. The Internet of Things (IoT) refers to a network of interconnected physical devices, vehicles, appliances, and other objects that are embedded with sensors, actuators, software, and network connectivity. Emotion analytics integration with IoT devices can result in more personalized, adaptive, and intuitive experiences across a range of fields, increasing the overall value and efficacy of IoT applications. For instance, in January 2022, data from the GSM Association, a UK-based non-profit industry organization, predicted that there would be a significant increase in global IoT connections from the 15.1 billion connections recorded in 2021 to 23.3 billion by 2025. Therefore, the growing adoption of IoT is driving the growth of the emotion analytics market.

Introduces Cloud-Based Emotion AI With Advanced Attention Metric Technology
Major companies operating in the emotion analytics market are developing innovative technologies by using emotion AI attention metric technologies to better serve customers with advanced features. Emotion AI, also known as affective AI or affective computing, is a subset of artificial intelligence that analyses, reacts to, and simulates human emotions. For instance, in September 2023, Affectiva, a US-based software company, unveiled its cloud-based Emotion AI offering, which includes a new attention metric. With the use of Smart Eye's cutting-edge automotive safety-grade eye tracking technology, this metric offers marketers, advertisers, entertainment companies, and their market researchers a major improvement in the evaluation of viewer attention. This one-of-a-kind, all-inclusive assessment provides unmatched precision and insights by analyzing head position and gaze.

The emotion analytics market covered in this report is segmented -

1) By Type: Text Analytics, Facial Analytics, Speech Analytics, Video Analytics
2) By Deployment Mode: On-premise, Cloud
3) By Enterprise Size: Large Enterprise, SME's
4) By Application: Customer Experience Management, Sales and Marketing Management, Competitive Intelligence, Public Safety and Law Enforcement, Workforce Management
5) By End User: Retail, IT and Telecom, BFSI, Government, Defense and Security, Others End User

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Major companies operating in the emotion analytics market report are Apple Inc., Google LLC, Microsoft Corporation, Deloitte Touche Tohmatsu Ltd., IBM Corporation, Hexagon AB, Tobii AB, NVISO, Gorilla Technology Group, Cogito Corporation, Kairos AR Inc., Noldus Information Technology, Humanyze, Sensum Co., Clarifai Inc., Emotiv Inc., Lexalytics Inc., Affectiva Inc., Beyond Verbal, NuraLogix Corp., iMotions A/S, Empath Inc., Audeering GmbH, Nemesysco Ltd., Adoreboard, Emotion Research Lab, Neuromore, Sentiance NV

Contents of the report:
1. Executive Summary
2. Emotion Analytics Market Report Structure
3. Emotion Analytics Market Trends And Strategies
4. Emotion Analytics Market - Macro Economic Scenario
5. Emotion Analytics Market Size And Growth
…..
27. Emotion Analytics Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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