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Emotional AI Market - Forecasts from 2025 to 2030

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    Report

  • 148 Pages
  • December 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5794050
The Emotional AI market is predicted to expand at a CAGR of 11.73% to account for US$7.655 billion by 2030 from US$4.397 billion in 2025.

An emotional AI is an AI solution that has the capability to understand human facial expressions and vocal tone and interact accordingly. This AI solution has the capability to detect human emotions through texts, audio, and video. It is set to play a crucial role in the global automation of various industries, like healthcare, automotive,gaming, and entertainment, among others.

In the healthcare industry, emotional AI solutions can act as an impartial tool to detect multiple disorders like anxiety, depression, and bipolar diseases. It also has the capability to detect autism spectrum disorder, a disease related to the development of the brain. According to the World Health Organization, there are about 1 case of autism in every 100 children in the globe. The organization also stated that the characteristics of the disease can be detected in early childhood, but it is not generally diagnosed in the later age of the children. Similarly, the cases of depression are also significantly increasing around the globe. The WHO also stated in its report that about 5% of the global adult population is suffering or expressing depression. According to the data, about 4% of adult men and about 6% of adult women are suffering from depression. The cases of depression above the age of 60 years have increased to 5.7%.

Emotional AI market drivers

Growing demand for autonomous vehicles

Emotional AI is sure to play an important role in the automotive industry. In the industry, it can be embedded in completely autonomous vehicles to achieve the complete safety and security of the driver and passenger. In autonomous vehicles, emotional AI can detect the emotional stress and discomfort of the driver and passenger and can overtake the operation on its own.

The increasing demand for autonomous vehicles in the global market is sure to propel the global demand for emotional AI. Tesla, the US-based automotive manufacturer, is one of the global leaders in offering autonomous vehicles to the global population. According to the company, the demand for their Model 3 and Model Y, one of the best-performing autonomous vehicles, has increased in the past few years. According to the annual report published by the company, the total delivery of its Model 3 and Y vehicles was about 1.247 million in 2022, which increased to about 1.739 million in 2023

Emotional AI market Geographical outlooks

The United States in North America is expected to hold significant shares of the Emotional AI market.

The United States market for emotional AI is expected to grow significantly in the projected period owing to the strong adoption of artificial intelligence (AI) among various end-users such as healthcare, media, retail, and finance, among others. This technology can also be used for content personalization, employee well-being, and customer engagement.

Moreover, the rising trend for automation, coupled with the high penetration of companies in the country is expected to have a positive impact on market growth. Additionally, rising product launches in the emotional AI market in the United States are one of the major reasons for market growth in the projected period

According to Goldman Sachs, the investment in artificial intelligence is expected to propel in the projected period, owing to the increasing attention on generative AI. Additionally, as per the company estimates AI investment is expected to be at its peak and reach 2.5% to 4% of the GDP, and for the United States it is expected to be at 1.5% to 2%, due to the presence of large players like Microsoft, and Google among others.

Moreover, Goldman Sachs, one of the leading investment banking, investment management, and securities firms forecasted that the world's AI investment will be US$132.12 billion in 2024 with the United States and China being the largest contributor. It is expected the United States will invest US$68.14 billion in artificial intelligence in 2024, and China is expected to invest US$24.66 billion in the same year.

Reasons for buying this report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
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What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Emotional AI market is segmented and analyzed as below:

By Deployment

  • Cloud
  • On-Premise

By Application

  • Automotive
  • Consumer Electronics
  • Customer Services
  • Gaming
  • Healthcare
  • Others

By Geography

  • North America
  • South America
  • Europe
  • Middle East and Africa
  • Asia-Pacific

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits for Stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. EMOTIONAL AI MARKET BY DEPLOYMENT
5.1. Introduction
5.2. Cloud
5.3. On-Premise
6. EMOTIONAL AI MARKET BY APPLICATION
6.1. Introduction
6.2. Automotive
6.3. Consumer Electronics
6.4. Customer Services
6.5. Gaming
6.6. Healthcare
6.7. Others
7. EMOTIONAL AI MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. By Deployment
7.2.2. By Applications
7.2.3. By Country
7.2.3.1. USA
7.2.3.2. Canada
7.2.3.3. Mexico
7.3. South America
7.3.1. By Deployment
7.3.2. By Applications
7.3.3. By Country
7.3.3.1. Brazil
7.3.3.2. Argentina
7.3.3.3. Others
7.4. Europe
7.4.1. By Deployment
7.4.2. By Applications
7.4.3. By Country
7.4.3.1. United Kingdom
7.4.3.2. Germany
7.4.3.3. France
7.4.3.4. Italy
7.4.3.5. Spain
7.4.3.6. Others
7.5. Middle East and Africa
7.5.1. By Deployment
7.5.2. By Applications
7.5.3. By Country
7.5.3.1. Saudi Arabia
7.5.3.2. UAE
7.5.3.3. Others
7.6. Asia Pacific
7.6.1. By Deployment
7.6.2. By Applications
7.6.3. By Country
7.6.3.1. China
7.6.3.2. Japan
7.6.3.3. India
7.6.3.4. South Korea
7.6.3.5. Australia
7.6.3.6. Indonesia
7.6.3.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. Entropik Tech
9.2. IBM Corporation
9.3. Amazon Inc.
9.4. Hopelab
9.5. Emotibot (Zhujian Intelligent Technology Co., Ltd.)
9.6. Affectiva
9.7. Addlink Technology
9.8. MorphCast
9.9. Uniphore
9.10. Imentiv
9.11. iMotions A/S
9.12. Realeyes
9.13. Noldus Information Technology BV
9.14. SmartEye
9.15. Woebot Health

Companies Mentioned

  • Entropik Tech
  • IBM Corporation
  • Amazon Inc.
  • Hopelab
  • Emotibot (Zhujian Intelligent Technology Co., Ltd.)
  • Affectiva
  • Addlink Technology
  • MorphCast
  • Uniphore
  • Imentiv
  • iMotions A/S
  • Realeyes
  • Noldus Information Technology BV
  • SmartEye
  • Woebot Health

Methodology

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Table Information