세계의 AI 기반 감정 분석 플랫폼 시장 - 규모, 점유율, 성장 및 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of AI-powered emotion analytics platform Market

The global AI-powered emotion analytics platform market is expanding rapidly due to advancements in artificial intelligence, growing focus on human-centered digital experiences, and increasing adoption of emotion-aware technologies across industries. According to the latest report, the market was valued at USD 7.52 billion in 2024, is expected to reach USD 8.77 billion in 2025, and is projected to surge to USD 28.10 billion by 2032, registering an impressive CAGR of 18.1% during the forecast period. North America led the global landscape in 2024 with a 30.45% market share, driven by its strong AI infrastructure and early adoption of affective computing solutions.

Market Growth Driven by Customer-Centric Digital Transformation

Businesses are increasingly prioritizing personalized, empathetic, and real-time customer engagement. Traditional tools such as surveys or satisfaction scores cannot capture authentic user emotions. AI-powered emotion analytics addresses this gap by analyzing facial expressions, voice tone, gestures, text sentiment, and physiological signals. This capability enables brands to understand hidden emotions such as frustration, excitement, confusion, or satisfaction.

A notable deployment took place in June 2023, when Pizza Hut implemented emotion AI in its outlets to analyze customer facial expressions and recommend menu items accordingly. With rising expectations for hyper-personalized interactions across retail, banking, entertainment, telehealth, and customer service, emotion analytics platforms continue to gain strong traction.

Generative AI is accelerating market expansion, enabling real-time emotion-aware chatbots, synthetic training datasets, and human-like communication. For example, in June 2024, Talkdesk launched its GenAI-powered Navigator that adjusts content and suggestions based on the user's emotional state.

Market Restraints Due to Regulatory Compliance

Despite rapid advancements, the market faces crucial challenges related to data privacy and government regulations. Biometric emotion data is classified as sensitive personal information, making it subject to strict compliance under frameworks such as GDPR and CCPA. In February 2025, the EU's AI Act officially banned the use of emotion-tracking tools in workplaces and online manipulation scenarios, increasing limitations for European deployments.

Additionally, reciprocal tariffs affecting semiconductor and sensor components pose cost challenges for manufacturers, especially when critical hardware is imported across regions.

Opportunities in Retail, Healthcare & Automotive Applications

The rise of experiential retail and smart stores presents one of the strongest opportunities for market players. Emotion-aware mirrors, AI-driven product displays, and mood-based recommendations are transforming in-store engagement. Retailers are also deploying mood recognition to optimize layouts, reduce queue abandonment, and personalize post-purchase offers.

Healthcare is emerging as a leading adopter. AI tools for analyzing micro-expressions, vocal biomarkers, and subtle emotional cues are reshaping patient assessment and mental health diagnostics. In March 2025, researchers at the University of Illinois developed a voice-based AI model that detects depression and anxiety using a one-minute recording.

Automotive manufacturers are integrating emotion sensors into next-gen vehicles for enhanced driver safety. Systems adjust lighting, music, or assistance features based on real-time emotion signals-accelerating multimodal analytics adoption.

Segmentation Insights

By Deployment

The cloud segment dominated in 2024 and is set to grow fastest due to scalability, cost efficiency, and ease of integration. Cloud models support massive real-time emotion computations across e-commerce, banking, and call center environments.

By Technology

Facial recognition held the largest share in 2024 due to low hardware requirements and plug-and-play implementations.

However, multimodal emotion recognition (combining face, voice, text & biometrics) is expected to grow at the highest rate, as it reduces detection errors and enhances emotional context.

By End-User

Healthcare led the market in 2024, driven by remote therapy growth and rising need for emotion-aware diagnostics.

The BFSI segment is projected to record the highest CAGR, with banks adopting emotion-aware IVR, fraud detection, and customer interaction systems.

Regional Outlook

North America held USD 2.29 billion in 2024 due to its strong AI ecosystem, research institutions such as MIT & Stanford, and presence of major emotion AI companies including Affectiva, Cognovi Labs, and Raydiant. Europe is set for strong growth driven by ethical AI in healthcare and customer service. Asia Pacific will grow at the highest CAGR, led by digital transformation in China, Japan, and South Korea, along with widespread mobile payments generating behavioral data ideal for emotion AI. The Middle East and South America show steady adoption supported by government digitalization efforts.

Conclusion

The AI-powered emotion analytics platform market is on track for exponential growth, rising from USD 7.52 billion in 2024 to USD 8.77 billion in 2025, and projected to reach USD 28.10 billion by 2032. With advancements in multimodal sensing, generative AI, telehealth, automotive intelligence, and retail analytics, the sector is set to redefine human-machine interaction across industries.

Segmentation By Deployment

• Cloud
• On-premise

By Technology

• Facial Recognition
• Speech & Voice Analysis
• Text-based Emotion Detection
• Multimodal Emotion Recognition
• Physiological Monitoring

By End-User

• Healthcare
• Automotive & Transportation
• Retail & E-commerce
• Education
• Media & Entertainment
• IT
• Government & Public Safety
• BFSI
• Others (Academia & Research, Travel, etc.)

By Region

• North America (By Deployment, By Technology, By End-User, and By Country)
  • U.S.
  • Canada
  • Mexico
• Europe (By Deployment, By Technology, By End-User, and By Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Asia Pacific (By Deployment, By Technology, By End-User, and By Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific
• Middle East & Africa (By Deployment, By Technology, By End-User, and By Country)
  • Turkey
  • Israel
  • GCC
  • South Africa
  • North Africa
  • Rest of Middle East & Africa
• South America (By Deployment, By Technology, By End-User, and By Country)
  • Brazil
  • Argentina
  • Rest of South America

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI
• 3.4. Impact of Reciprocal Tariffs

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global AI-powered Emotion Analytics Platform Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Deployment (USD)
  • 5.2.1. On-premise
  • 5.2.2. Cloud
• 5.3. By Technology (USD)
  • 5.3.1. Facial Recognition
  • 5.3.2. Speech & Voice Analysis
  • 5.3.3. Text-based Emotion Detection
  • 5.3.4. Multimodal Emotion Recognition
  • 5.3.5. Physiological Monitoring
• 5.4. By End-user (USD)
  • 5.4.1. Healthcare
  • 5.4.2. Automotive & Transportation
  • 5.4.3. Retail & E-commerce
  • 5.4.4. Education
  • 5.4.5. Media & Entertainment
  • 5.4.6. IT
  • 5.4.7. Government & Public Safety
  • 5.4.8. BFSI
  • 5.4.9. Others (Academia & Research, Travel, etc.)
• 5.5. By Region (USD)
  • 5.5.1. North America
  • 5.5.2. Europe
  • 5.5.3. Asia Pacific
  • 5.5.4. Middle East & Africa
  • 5.5.5. South America

6. North America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Deployment (USD)
  • 6.2.1. On-premise
  • 6.2.2. Cloud
• 6.3. By Technology (USD)
  • 6.3.1. Facial Recognition
  • 6.3.2. Speech & Voice Analysis
  • 6.3.3. Text-based Emotion Detection
  • 6.3.4. Multimodal Emotion Recognition
  • 6.3.5. Physiological Monitoring
• 6.4. By End-user (USD)
  • 6.4.1. Healthcare
  • 6.4.2. Automotive & Transportation
  • 6.4.3. Retail & E-commerce
  • 6.4.4. Education
  • 6.4.5. Media & Entertainment
  • 6.4.6. IT
  • 6.4.7. Government & Public Safety
  • 6.4.8. BFSI
  • 6.4.9. Others (Academia & Research, Travel, etc.)
• 6.5. By Country (USD)
  • 6.5.1. U.S.
  • 6.5.2. Canada
  • 6.5.3. Mexico

7. Europe AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Deployment (USD)
  • 7.2.1. On-premise
  • 7.2.2. Cloud
• 7.3. By Technology (USD)
  • 7.3.1. Facial Recognition
  • 7.3.2. Speech & Voice Analysis
  • 7.3.3. Text-based Emotion Detection
  • 7.3.4. Multimodal Emotion Recognition
  • 7.3.5. Physiological Monitoring
• 7.4. By End-user (USD)
  • 7.4.1. Healthcare
  • 7.4.2. Automotive & Transportation
  • 7.4.3. Retail & E-commerce
  • 7.4.4. Education
  • 7.4.5. Media & Entertainment
  • 7.4.6. IT
  • 7.4.7. Government & Public Safety
  • 7.4.8. BFSI
  • 7.4.9. Others (Academia & Research, Travel, etc.)
• 7.5. By Country (USD)
  • 7.5.1. U.K.
  • 7.5.2. Germany
  • 7.5.3. France
  • 7.5.4. Italy
  • 7.5.5. Spain
  • 7.5.6. Russia
  • 7.5.7. Benelux
  • 7.5.8. Nordics
  • 7.5.9. Rest of Europe

8. Asia Pacific AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Deployment (USD)
  • 8.2.1. On-premise
  • 8.2.2. Cloud
• 8.3. By Technology (USD)
  • 8.3.1. Facial Recognition
  • 8.3.2. Speech & Voice Analysis
  • 8.3.3. Text-based Emotion Detection
  • 8.3.4. Multimodal Emotion Recognition
  • 8.3.5. Physiological Monitoring
• 8.4. By End-user (USD)
  • 8.4.1. Healthcare
  • 8.4.2. Automotive & Transportation
  • 8.4.3. Retail & E-commerce
  • 8.4.4. Education
  • 8.4.5. Media & Entertainment
  • 8.4.6. IT
  • 8.4.7. Government & Public Safety
  • 8.4.8. BFSI
  • 8.4.9. Others (Academia & Research, Travel, etc.)
• 8.5. By Country (USD)
  • 8.5.1. China
  • 8.5.2. Japan
  • 8.5.3. India
  • 8.5.4. South Korea
  • 8.5.5. ASEAN
  • 8.5.6. Oceania
  • 8.5.7. Rest of Asia Pacific

9. Middle East & Africa AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 9.1. By Deployment (USD)
  • 9.1.1. On-premise
  • 9.1.2. Cloud
• 9.2. By Technology (USD)
  • 9.2.1. Facial Recognition
  • 9.2.2. Speech & Voice Analysis
  • 9.2.3. Text-based Emotion Detection
  • 9.2.4. Multimodal Emotion Recognition
  • 9.2.5. Physiological Monitoring
• 9.3. By End-user (USD)
  • 9.3.1. Healthcare
  • 9.3.2. Automotive & Transportation
  • 9.3.3. Retail & E-commerce
  • 9.3.4. Education
  • 9.3.5. Media & Entertainment
  • 9.3.6. IT
  • 9.3.7. Government & Public Safety
  • 9.3.8. BFSI
  • 9.3.9. Others (Academia & Research, Travel, etc.)
• 9.4. By Country (USD)
  • 9.4.1. Turkey
  • 9.4.2. Israel
  • 9.4.3. GCC
  • 9.4.4. North Africa
  • 9.4.5. South Africa
  • 9.4.6. Rest of Middle East & Africa

10. South America AI-powered Emotion Analytics Platform Market Size Estimates and Forecasts, By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Deployment (USD)
  • 10.2.1. On-premise
  • 10.2.2. Cloud
• 10.3. By Technology (USD)
  • 10.3.1. Facial Recognition
  • 10.3.2. Speech & Voice Analysis
  • 10.3.3. Text-based Emotion Detection
  • 10.3.4. Multimodal Emotion Recognition
  • 10.3.5. Physiological Monitoring
• 10.4. By End-user (USD)
  • 10.4.1. Healthcare
  • 10.4.2. Automotive & Transportation
  • 10.4.3. Retail & E-commerce
  • 10.4.4. Education
  • 10.4.5. Media & Entertainment
  • 10.4.6. IT
  • 10.4.7. Government & Public Safety
  • 10.4.8. BFSI
  • 10.4.9. Others (Academia & Research, Travel, etc.)
• 10.5. By Country (USD)
  • 10.5.1. Brazil
  • 10.5.2. Argentina
  • 10.5.3. Rest of South America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Affectiva
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Entropik Technologies Pvt. Ltd
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Morphcast Inc.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Emotibot
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Eyeris
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Realeyes
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Uniphore
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Wayvee Analytics
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Raydiant
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Tobii
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways