The global market for Affective Computing is estimated at US$57.4 Billion in 2023 and is projected to reach US$235.9 Billion by 2030, growing at a CAGR of 22.4% from 2023 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.
The growth in the affective computing market is driven by several factors, including advances in sensor technology, increased sophistication of machine learning algorithms, and a rising emphasis on personalized user experiences. As sensors become more capable and less intrusive, they enable more accurate and continual monitoring of emotional states without disrupting the natural behavior of users. This enhancement in sensor technology, combined with more powerful and efficient machine learning algorithms, allows for real-time and precise emotion detection and response systems.
Additionally, as consumers and professionals increasingly expect technology to be more intuitive and responsive to their emotional and cognitive states, there is significant market pressure to incorporate emotional AI into consumer products and professional tools. This trend is evident in sectors like consumer electronics, where devices are increasingly designed with emotional awareness to enhance user interaction, and in customer service, where affective computing enables more empathetic and effective communication with customers. As these technologies converge, the scope for affective computing broadens, promising more sophisticated, adaptive, and anticipatory applications across various industries.
The growth in the affective computing market is driven by several factors, including advances in sensor technology, increased sophistication of machine learning algorithms, and a rising emphasis on personalized user experiences. As sensors become more capable and less intrusive, they enable more accurate and continual monitoring of emotional states without disrupting the natural behavior of users. This enhancement in sensor technology, combined with more powerful and efficient machine learning algorithms, allows for real-time and precise emotion detection and response systems.
Additionally, as consumers and professionals increasingly expect technology to be more intuitive and responsive to their emotional and cognitive states, there is significant market pressure to incorporate emotional AI into consumer products and professional tools. This trend is evident in sectors like consumer electronics, where devices are increasingly designed with emotional awareness to enhance user interaction, and in customer service, where affective computing enables more empathetic and effective communication with customers. As these technologies converge, the scope for affective computing broadens, promising more sophisticated, adaptive, and anticipatory applications across various industries.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Touch-based Technology segment, which is expected to reach US$110.4 Billion by 2030 with a CAGR of a 17.8%. The Touchless Technology segment is also set to grow at 27.9% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, estimated at $16.8 Billion in 2023, and China, forecasted to grow at an impressive 21.6% CAGR to reach $40.8 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Affective Computing Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Affective Computing Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Affective Computing Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2023 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of major players such as IBM Corporation, Microsoft Corporation, Intel Corporation, and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Select Competitors (Total 57 Featured):
- IBM Corporation
- Microsoft Corporation
- Intel Corporation
- Apple, Inc.
- Google LLC
- Cognitec Systems GmbH
- eyeSight Technologies
- Elliptic Laboratories AS
- HumanZyme, Inc.
- Affectiva
- Noldus Information Technology
- Kairos AR, Inc.
- AdMobilize LLC
- Emoshape Inc.
- Logic Pursuits, LLC (captemoâ„¢)
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
CANADA
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
ITALY
UNITED KINGDOM
REST OF EUROPE
ASIA-PACIFIC
REST OF WORLD
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- IBM Corporation
- Microsoft Corporation
- Intel Corporation
- Apple, Inc.
- Google LLC
- Cognitec Systems GmbH
- eyeSight Technologies
- Elliptic Laboratories AS
- HumanZyme, Inc.
- Affectiva
- Noldus Information Technology
- Kairos AR, Inc.
- AdMobilize LLC
- Emoshape Inc.
- Logic Pursuits, LLC (captemoâ„¢)
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 317 |
| Published | October 2024 |
| Forecast Period | 2023 - 2030 |
| Estimated Market Value ( USD | $ 57.4 Billion |
| Forecasted Market Value ( USD | $ 235.9 Billion |
| Compound Annual Growth Rate | 22.4% |
| Regions Covered | Global |
