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Global Affective Computing Market - Forecasts from 2017 to 2022

  • ID: 4396321
  • Report
  • September 2017
  • Region: Global
  • 90 pages
  • Knowledge Sourcing Intelligence LLP


  • Affectiva
  • Beyond Verbal
  • CrowdEmotion
  • Gestigon HQ
  • Intel Corporation
  • nViso SA
  • MORE
The affective computing market was valued at US$6.947 billion in 2017 and is expected to grow at a CAGR of 42.63% to reach a market size of US$41.008 billion by the year 2022.

Affective Computing, also referred to as emotional artificial intelligence is an interaction of human and computer in which computer has the capacity to detect a user’s emotions and other stimuli and respond to them accordingly. The device can understand the emotions of humans, analyze and help them to take decisions accordingly. For instance, the device can interpret when a student encounters some problem while learning a particular subject and then, it can redirect the student to various forms of resources that can aid the student to solve the problem. Many ancillary devices such as cameras or sensors provide the input data to various algorithms to identify a user’s emotional condition. The affective computing solutions can also reciprocate to subtle or subconscious clues of users with the help of appropriate IT systems and devices and provide users with effective interactions.

Market Outlook

The market for global affective computing will be driven by increased use of wearable devices and enhanced internet connectivity. Increased requirement to map human emotions in order to comprehend human behaviour for business to operate effectively will also significantly drive the affective computing market. On the other hand, huge expenditure costs involved in the manufacturing of affective computing systems can hinder the market growth.

Geographic Outlook

Geographically stating, Asia Pacific region is one of the major region markets for affective computing solutions along with North America and Europe due to enhanced utilization of wearable devices and expansion of various sectors which uses affective computing extensively.

Research Methodology

Firstly, the report provides a brief introduction of the market and deals with detailed research methodology for calculating market size and forecasts, secondary data sources used and the primary inputs which were taken for data validation. This section also outlines various segmentations which have been covered as part of the report.

Market Dynamics

Next, the section provides comprehensive market dynamics through an overview section along with growth drivers, challenges, and opportunities which exist in the current market. This section of the report also provides supplier and industry outlook; key industry, global and regional regulations which are determining the market growth and a brief technological aspect of Affective Computing. Complete industry analysis has also been covered by Porter’s five forces model as a part of this report section.


Thirdly, Affective Computing Market has been segmented by solutions (software, hardware), vertical and geography as follows:

By Technology
  • Touchless
  • Touch-Based
By Solutions
  • Software
  • Gesture Recognition
  • Speech Recognition
  • Enterprise Software
  • Facial Expression Recognition
  • Neural Analytics
  • Others
By Hardware
  • Storage Devices and Processors
  • Sensors
  • Cameras
  • Others
By Vertical
  • Healthcare
  • Media and Entertainment
  • Government and Defense
  • Education
  • Leisure and Hospitality
  • Communication and Technology
  • Retail
  • Others
By Geography
  • Americas
  • North America
  • South America
  • Europe Middle East and Africa
  • Europe
  • The Middle East and Africa
  • Asia Pacific
Market Players

Finally, competitive intelligence section deals with major players in the market, their market shares, growth strategies, products, financials, and recent investments among others. Key industry players profiled as part of this section are Affectiva, Realeyes, and THRIVE Learning System among others.
Note: Product cover images may vary from those shown


  • Affectiva
  • Beyond Verbal
  • CrowdEmotion
  • Gestigon HQ
  • Intel Corporation
  • nViso SA
  • MORE
1. Introduction

2. Research Methodology

3. Executive Summary

4. Market Dynamics
4.1. Segmentation
4.2. Drivers
4.3. Restraints
4.4. Opportunities
4.5. Porter's Five Forces
4.6. Supplier Outlook
4.7. Industry Outlook
4.8. Industry Value Chain Analysis
4.9. Scenario Analysis

5. Global Affective Computing Market Forecast by Technology (US$ billion)
5.1. Touchless
5.2. Touch-Based

6. Global Affective Computing Market Forecast by Solutions (US$ billion)
6.1. Software
6.1.1. Gesture Recognition
6.1.2. Speech Recognition
6.1.3. Enterprise Software
6.1.4. Facial Expression Recognition
6.1.5. Neural Analytics
6.1.6. Others
6.2. Hardware
6.2.1. Storage Devices and Processors
6.2.2. Sensors
6.2.3. Cameras
6.2.4. Others

7. Global Affective Computing Market Forecast by Vertical (US$ billion)
7.1. Healthcare
7.2. Media and Entertainment
7.3. Government and Defense
7.4. Education
7.5. Leisure and Hospitality
7.6. Communication and Technology
7.7. Retail
7.8. Others

8. Global Affective Computing Market Forecast by Geography (US$ billion)
8.1. Americas
8.1.1. North America
8.1.2. South America
8.2. Europe Middle East and Africa
8.2.1. Europe
8.2.2. Middle East and Africa
8.3. Asia Pacific

9. Competitive Intelligence
9.1. Market Share of Key Players
9.2. Investment Analysis
9.3. Recent Deals
9.4. Strategies of Key Players

10. Company Profiles
10.1. Affectiva
10.2. Realeyes
10.3. THRIVE Learning System
10.4. Gestigon HQ
10.5. nViso SA
10.6. Beyond Verbal
10.7. Intel Corporation
10.8. CrowdEmotion
Note: Product cover images may vary from those shown
  • Affectiva
  • Realeyes
  • THRIVE Learning System
  • Gestigon HQ
  • nViso SA
  • Beyond Verbal
  • Intel Corporation
  • CrowdEmotion
Note: Product cover images may vary from those shown