Global Affective Computing Market Growth, Share, Size, Trends and Forecast (2024 - 2030)

By Technology;

Touch-based and Touchless.

By Component;

Software and Hardware.

By Software;

Speech Recognition, Gesture Recognition, Facial Feature Extraction, Analytics Software and Enterprise Software.

By Hardware;

Sensors, Cameras, Storage Devices & Processors and Others.

By Vertical;

Academia and Research, Media and Entertainment, Government and Defense, Healthcare and Life Sciences, IT and Telecom, Retail and eCommerce, Automotive and BFSI.

By Geography;

North America, Europe, Asia Pacific, Middle East and Africa and Latin America - Report Timeline (2020 - 2030).
Report ID: Rn876174989 Published Date: June, 2024 Updated Date: July, 2024

Introduction

Global Affective Computing Market (USD Million), 2020 - 2030

In the year 2023, the Global Affective Computing Market was valued at USD 73,541.87 million. The size of this market is expected to increase to USD 686,852.82 million by the year 2030, while growing at a Compounded Annual Growth Rate (CAGR) of 37.6%.

The global affective computing market is rapidly expanding, driven by advancements in artificial intelligence (AI) and the growing demand for emotional intelligence in technology. Affective computing refers to the development of systems and devices that can recognize, interpret, process, and simulate human affects (emotions). These technologies aim to enable computers to understand and respond to human emotions, transforming how humans interact with machines and enhancing user experience across various applications.

One of the key drivers of the affective computing market is the increasing adoption of AI and machine learning algorithms capable of analyzing human emotions through facial expressions, speech patterns, and physiological signals such as heart rate and skin conductance. These technologies are being integrated into a wide range of sectors including healthcare, automotive, retail, and gaming to personalize user experiences, improve customer satisfaction, and enhance operational efficiency.

In healthcare, affective computing is revolutionizing patient care by enabling emotion-aware virtual assistants and diagnostic tools that can detect emotional cues in patients' voices and facial expressions. This capability helps healthcare providers offer more empathetic and personalized care, leading to better patient outcomes. Similarly, in retail and marketing, emotion recognition technologies are being used to analyze customer reactions to products and advertisements, allowing businesses to tailor their offerings and marketing strategies more effectively.

The global affective computing market is poised for significant growth as AI continues to advance and applications of emotional intelligence expand across industries. However, the ethical implications of affective computing, such as privacy concerns and the responsible use of emotional data, remain important considerations that will shape the future landscape of this emerging technology sector. As companies and researchers continue to innovate, the potential for affective computing to transform human-machine interactions and improve overall well-being remains substantial.

  1. Introduction
    1. Research Objectives and Assumptions
    2. Research Methodology
    3. Abbreviations
  2. Market Definition & Study Scope
  3. Executive Summary
    1. Market Snapshot, By Technology
    2. Market Snapshot, By Component
    3. Market Snapshot, By Software
    4. Market Snapshot, By Hardware
    5. Market Snapshot, By Vertical
    6. Market Snapshot, By Region
  4. Global Affective Computing Market Dynamics
    1. Drivers, Restraints and Opportunities
      1. Drivers
        1. Technological advancements
        2. Rising demand for AI integration
        3. Increasing awareness about mental health
        4. Growing applications in consumer electronics
      2. Restraints
        1. Privacy and ethical concerns
        2. High initial setup costs
        3. Complexity of emotional interpretation
        4. Limited emotional data for training
      3. Opportunities
        1. Expansion in healthcare sector
        2. Development of personalized user experiences
        3. Integration into autonomous vehicles
        4. Rise of emotion-aware marketing strategies
    2. PEST Analysis
      1. Political Analysis
      2. Economic Analysis
      3. Social Analysis
      4. Technological Analysis
    3. Porter's Analysis
      1. Bargaining Power of Suppliers
      2. Bargaining Power of Buyers
      3. Threat of Substitutes
      4. Threat of New Entrants
      5. Competitive Rivalry
  5. Market Segmentation
    1. Global Affective Computing Market, By Technology, 2020 - 2030 (USD Million)
      1. Touch-based
      2. Touchless
    2. Global Affective Computing Market, By Component, 2020 - 2030 (USD Million)
      1. Software
      2. Hardware
    3. Global Affective Computing Market, By Software, 2020 - 2030 (USD Million)
      1. Speech Recognition
      2. Gesture Recognition
      3. Facial Feature Extraction
      4. Analytics Software
      5. Enterprise Software
    4. Global Affective Computing Market, By Hardware, 2020 - 2030 (USD Million)
      1. Sensors
      2. Cameras
      3. Storage Devices & Processors
      4. Others
    5. Global Affective Computing Market, By Vertical, 2020 - 2030 (USD Million)
      1. Academia and Research
      2. Media and Entertainment
      3. Government and Defense
      4. Healthcare and Life Sciences
      5. IT and Telecom
      6. Retail and eCommerce
      7. Automotive
      8. BFSI
    6. Global Affective Computing Market, By Geography, 2020 - 2030 (USD Million)
      1. North America
        1. United States
        2. Canada
      2. Europe
        1. Germany
        2. United Kingdom
        3. France
        4. Italy
        5. Spain
        6. Nordic
        7. Benelux
        8. Rest of Europe
      3. Asia Pacific
        1. Japan
        2. China
        3. India
        4. Australia & New Zealand
        5. South Korea
        6. ASEAN (Association of South East Asian Countries)
        7. Rest of Asia Pacific
      4. Middle East & Africa
        1. GCC
        2. Israel
        3. South Africa
        4. Rest of Middle East & Africa
      5. Latin America
        1. Brazil
        2. Mexico
        3. Argentina
        4. Rest of Latin America
  6. Competitive Landscape
    1. Company Profiles
      1. Affectiva
      2. Beyond Verbal
      3. IBM Corporation
      4. Microsoft Corporation
      5. Google LLC
      6. Apple Inc.
      7. Eyesight Technologies Ltd.
      8. GestureTek
      9. NuraLogix
      10. Kairos AR
  7. Analyst Views
  8. Future Outlook of the Market