Affective Computing Market

Affective Computing Market by Technology (Touch-based and Touchless), Component (Software (Speech Recognition and Gesture Recognition) and Hardware (Sensors, Cameras, and Storage Devices and Processors)), Vertical, and Region - Global Forecast to 2024

Report Code: TC 3707 Nov, 2019, by marketsandmarkets.com

MarketsandMarkets forecasts the global affective computing market size is projected to grow from USD 22.2 billion in 2019 to USD 90.0 billion by 2024, at a CAGR of 32.3% during the forecast period. Technological advancements, along with the rising adoption of advanced electronic devices, are projected to stimulate the growth of the market during the forecast period. Voice-activated biometrics used for security purposes help in providing access to authenticated users for performing a transaction, therefore, surging the use of affective computing solutions across the globe. The objective of the report is to define, describe, and forecast the affective computing market size based on component, deployment type, organization size, industry vertical, and region

                                                          Attractive Opportunities in the Affective Computing Market

Affective Computing Market

     Source: Investor Presentation, Secondary Literature, Expert Interviews, and MarketsandMarkets Analysis

By component, the services segment is expected to grow at the highest growth rate during the forecast period
The increasing need to capture customer behavior & personality, the demand for software platforms for the provision of efficient learning tools in educational institutes, and the rapidly growing use of supportive tools for medical emergencies are the major drivers that have bolstered the software providers to offer affective computing software platforms. Growing virtualization across industries and the adoption of cloud computing is promoting the demand for software-based affective computing solutions in various countries. Moreover, software installations are suitable for business entities that are dynamic in nature and usually have a limited budget allocated for deploying new infrastructure.

Based on technology, the touch-based segment is estimated to lead the market in 2019.
Touch-based technologies play a crucial role in the deployment of affective computing solutions. Most of the affective computing technologies need hardware, such as cameras, sensors, and storage devices, to provide a full-fledged computing solution, which can analyze various facial expressions. It enables users to make certain gestures by either touching the device or through the controller connected to the device.

With most of the developments taking place in the affective computing market, the market for touch-based technologies is expected to increase at a healthy CAGR. Some of the most popular touch- or gesture-based technologies deployed to monitor or detect human gestures include accelerometers, gyroscopes, or a combination of both.

Affective Computing Market

                         Source: Investor Presentation, Secondary Literature, Expert Interviews, and MarketsandMarkets Analysis

North America to account for the largest market size during the forecast period.

North American has the presence of several prominent market players delivering advanced solutions to all the industry verticals in the regions. Apart from this factor, the geographical presence, strategic investments, partnerships, and significant R&D activities are contributing to the hefty deployments of affective solutions. Key pure-play vendors such as Affectiva, GestureTek, Kairos, and Eyeris, along with several start-ups in the region, are offering enhanced affective computing solutions & services to cater to the needs of customers. Such factors are expected to fuel the growth of the affective computing market in North America.

Market Dynamics

Affective Computing Market

Driver: Rising need for socially intelligent artificial agents

Amidst the fourth industrial revolution, social robots are diligently moving from fiction to reality. Sophisticated artificial agents are becoming more ubiquitous in everyday life, due to which researchers are introducing innovative affective computing solutions for aiding assistance to human-computer interaction. Underscoring the importance of this anticipated infiltration of machines in human society, major research agencies around the world, including the European Commission and the National Science Foundation, aim to strengthen their role in supporting robotics development and articulating strategic visions for the integration of robots into every part of society. Similarly, multinational companies including Facebook, Amazon, and Google, as well as countless smaller startups and medium-sized tech firms, are continuing to invest significant sums in the development of Artificial Intelligence (AI) and robotics. These examples forecast the growing presence of artificial agents in social environments, that fuel the demand for affective computing solutions over the forecast period.

According to Neurodata Lab, “From a technological point of view, the task of accurate emotion recognition was made possible by the active development of artificial neural networks. Thanks to them, machines learned to understand emotions on faces turned sideways and in low light conditions. We got cheaper technology; even our smartphones have built-in neural network technologies. This allows to integrate emotion recognition into service robots, detect emotions using a simple webcam, or to quickly process data in the cloud.

This will bring human-computer interaction to a fundamentally new level. A variety of new perspectives will open up - you can name all sorts of fantastic scenarios: a home companion, a nurse, a nanny, etc.

From a business point of view, affective technologies solve tasks that people always wanted to solve but did not know-how. For different industries, these tasks are different. Emotional technologies close gaps, ranging from collective objective analytics at offline customer touchpoints to creating socially intelligent artificial agents.”

Restraint: High production cost of affective computing

The cost incurred in making affective computing systems is more, and the tangible return on investment is low. This factor acts as a major barrier to the growth of the affective computing market, as most of the enabling technologies such as wearable computing and gesture recognition incur huge development costs. Thus, the companies who lack financial resources do not opt for the platform, even if they are interested in affective computing to increase their productivity.

Additionally, one of the factors restraining organizations from adopting affective computing solutions and services is the cost of training AI enablers to execute a specific task. Understanding and stimulating human emotions is variable in nature; thus, it requires extensive programming, training, and troubleshooting mechanisms to build relevant computing solutions for corresponding data sets. The financial expense of implementing emotion AI along with the cultural understanding of human society is huge and complicated. Therefore, a few industries are unlikely to adopt the affective computing solutions at a slow rate during the forecast period and prove to be a constraint for affective computing solution vendors.

Opportunity: Growing partnerships and widening ecosystems

The affective computing market is in the nascent stage, and continuous advancements are taking place in this market. Affective computing is an accumulation of several technologies and hardware, as it is unrealistic for a company to develop all the technologies related to affective computing on their own. Affective computing solution providers usually involve in both horizontal and vertical partnerships, to widen the scope of their product portfolio. For instance, Affectiva recently partnered with iMotions to strengthen its capabilities and advance its research by integrating Affectiva with multiple biometric sensors.

Some of the recent vertical partnerships between affective computing solution providers and end users are aimed toward developing industry-specific affective computing solutions. In January 2019, Affectiva partnered with Aptiv to commercialize advanced multimodal interior sensing solutions for OEM and fleet customers and redefine the mobility experience for next-generation vehicles. In July 2019, EyeSight Technologies partnered with a tier-1 automobile company, to help introduce DriverSense, a Driver Monitoring System (DMS) to automakers in the Chinese market. As a result, vendors in the affective computing market are engaging in vertical as well as horizontal collaborations among industry verticals to share their resources and provide higher efficiency through their solutions. The advantage of a partnership is that it reduces the cost of making affective computing solutions and present novel innovations to the system across all sectors.

Challenge:High power consumption of wearable computing devices

Wearable computing devices are enabled with technologies such as gesture recognition, speech recognition, and image sensor cameras. Gesture recognition and speech recognition solutions consume very less power and can be operated with the power battery of a smartphone. However, the image sensor cameras, IoT, and Software-Defined Networking (SDN) require more power with respect to the emotion capturing techniques.

Further, to support cameras and connectivity technologies, the power required is more than that of operating a smartphone and will lead to an increase in the size of the battery. The required increase in the size of power batteries is one of the obstacles to designing a wearable computing device. This is one of the major challenges that is anticipated to gain a lot of attention in the global affective computing market over the forecast period.

Scope of the Report

Report Metric

Details

Market size available for years

2017–2024

Base year considered

2018

Forecast period

2019–2024

Forecast units

Billion (USD)

Segments covered

Technology, Component, Software, Hardware, Vertical, And Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

Google (US), Microsoft (US), IBM (US), Apple (US), Qualcomm (US), Affectiva (US), Elliptic Labs (Norway), Eyesight Technologies (Israel), Sony Depthsensing Solutions (Belgium), Intel (US), Pyreos (UK), Cognitec Systems (Germany), Beyond Verbal (Israel), GestureTek (Canada), SightCorp (Noord-Holland), CrowdEmotion (UK), Kairos (US), nViso (Switzerland), PointGrab (US), Eyeris (US), Numenta (US).

The research report categorizes the Affective Computing Market to forecast the revenues and analyze the trends in each of the following sub-segments:

Affective Computing Market By Component

  • Software
  • Hardware

Affective Computing Market By Software

  • Speech Recognition
  • Gesture Recognition
  • Facial Feature Extraction
  • Analytics Software
  • Enterprise Software

Affective Computing Market By Hardware

  • Sensors
  • Cameras
  • Storage Devices and Processors
  • Others

Affective Computing Market By Industry Vertical

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

Affective Computing Market By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Middle East and Africa (MEA)
  • Latin America

 Key Market Players
Google (US), Microsoft (US), IBM (US), Apple (US), Qualcomm (US), Affectiva (US), Elliptic Labs (Norway), Eyesight Technologies (Israel), Sony Depthsensing Solutions (Belgium), Intel (US), Pyreos (UK), Cognitec Systems (Germany), Beyond Verbal (Israel), GestureTek (Canada), SightCorp (Noord-Holland), CrowdEmotion (UK), Kairos (US), nViso (Switzerland), PointGrab (US), Eyeris (US), Numenta (US).

Google is one of crucial players in the affective computing market, Google has an integrated research organization called Google Brain Team for conducting deep neural network and ML research. Google has been making positive developments in the field of affective computing to augment its product offerings and introduce higher technological innovations. Google’s latest innovations, such as Google Assistant, Google Lens, Glass, Pixel 3 phones, and Google Home Hub smart display are largely driven by AI/ML and Emotional Artificial Intelligence (affective computing) and Google has been constantly investing in them to make it more human friendly.

Recent Developments

  • In October 2019, Google collaborated with Levi’s to introduce Jacquard-enabled jackets
  • In July 2017, Google announced the Acquisition of Halli Labs, an Indian AI startup. The combined entity will work toward improving translation service and voice recognition
  • In November 2018, Microsoft signed an agreement to acquire XOXCO, a company with conversational AI and bot development capabilities.
  • In May 2018, Microsoft collaborated with Tobii, Intel, and EyeTech and created a Universal Serial Bus (USB) Human Interface Device (HID) standard for eye tracking. This enables eye tracking technology to have standard interfaces agreed on by USB.org.
  • In October 2017, Apple based Init.ai and the team will work on enhancing Apple Siri’s capabilities.
  • In February 2018, Qualcomm announced the Launch of the AI Engine.   

Critical questions the report answers:

  • Where will all these developments take the industry in the long term?
  • What are the upcoming trends for the affective computing market?
  • Which segment provides the most opportunity for growth?
  • Who are the leading vendors operating in this market?
  • What are the opportunities for new market entrants?
“To speak to our analyst for a discussion on the above findings, please fill in the required details by clicking on the Speak to Analyst tab.”

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
           1.2.1 Inclusions and Exclusions
    1.3 Market Scope
           1.3.1 Market Segmentation
           1.3.2 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology (Page No. - 21)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primary Profiles
                    2.1.2.2 Key Industry Insights
    2.2 Market Breakup and Data Triangulation
    2.3 Market Size Estimation
           2.3.1 Top-Down Approach
           2.3.2 Bottom-Up Approach
    2.4 Market Forecast
    2.5 Assumptions for the Study
    2.6 Limitations of the Study

3 Executive Summary (Page No. - 30)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Market Opportunities in the Affective Computing Market
    4.2 Market Market Share of Top 3 Verticals and Regions, 2019
    4.3 Market By Component, 2019–2024
    4.4 Market By Software, 2019–2024
    4.5 Market By Hardware, 2019–2024

5 Market Overview and Industry Trends (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Need for Telehealth-Related Affective Computing Solutions
                    5.2.1.2 Rising Need for Socially Intelligent Artificial Agents
                    5.2.1.3 Increasing Adoption of Wearable Devices and Growing Internet Penetration Across Industry Verticals
                    5.2.1.4 Technological Advancements Across the Globe
                    5.2.1.5 Growing Need for High Operational Excellence, Increased Resource Utilization, and Enhanced Productivity
           5.2.2 Restraints
                    5.2.2.1 High Production Cost of Affective Computing Systems
                    5.2.2.2 Gap Between Academic Research and Real-Life Applications
           5.2.3 Opportunities
                    5.2.3.1 Growing Inclination Toward Industry-Specific Solutions
                    5.2.3.2 Increasing Government Initiatives to Leverage the Benefits of Emotion Ai/Affective Computing Technology
                    5.2.3.3 Growing Adoption of Cloud-Based Applications and Services
                    5.2.3.4 Growing Number of Partnerships and Widening Ecosystems
           5.2.4 Challenges
                    5.2.4.1 Complex Systems for Emotion Recognition
                    5.2.4.2 Lack of Knowledge and Awareness and Technical Challenges
                    5.2.4.3 High Power Consumption of Wearable Computing Devices
    5.3 Ethics of Measuring Emotions
    5.4 Key Guardrails for Adoption of Affective Computing
    5.5 Innovation Spotlight
           5.5.1 Neurodata Lab
           5.5.2 Emteq
           5.5.3 Sensum
    5.6 Use Cases
           5.6.1 Use Cases: Gaming
           5.6.2 Use Cases: Government and Defense
           5.6.3 Use Cases: Automotive
           5.6.4 Use Cases: High-Tech

6 Affective Computing Market By Technology (Page No. - 51)
    6.1 Introduction
    6.2 Touch-Based
           6.2.1 Growing Need to Adopt Touch-Based Affective Computing for People Engagement
    6.3 Touchless
           6.3.1 Rising Demand for High-Security Measures and User Authentication to Drive the Growth of Touchless Technologies

7 Affective Computing Market By Component (Page No. - 58)
    7.1 Introduction
    7.2 Software
           7.2.1 Rising Implementation of Software-Based Affective Computing for Improved Time and Resource Efficiency
    7.3 Hardware
           7.3.1 Growing Use of Miniaturized Hardware By End Users

8 Affective Computing Market By Software (Page No. - 62)
    8.1 Introduction
    8.2 Speech Recognition
           8.2.1 Growing Use of Speech Recognition Software in the Healthcare and Government Sectors for Implementing Affective Computing Applications
    8.3 Gesture Recognition
           8.3.1 Increasing Need to Determine Emotional Behavior Through Gesture Recognition Across Verticals
    8.4 Facial Feature Extraction
           8.4.1 Growing Demand for Fast and Secure User Identification to Fuel the Demand for Facial Feature Extraction
    8.5 Analytics Software
           8.5.1 Growing Need to Optimize Operations and Increase Productivity to Drive the Demand for Analytics Software
    8.6 Enterprise Software
           8.6.1 Growing Preference for Standardization of Processes to Drive the Market Growth of Enterprise Software

9 Affective Computing Market By Hardware (Page No. - 69)
    9.1 Introduction
    9.2 Sensors
           9.2.1 Growing Adoption of Home Healthcare Services to Drive the Affective Computing-Enabled Sensors Industry
    9.3 Cameras
           9.3.1 Increasing Use of Smart Cameras for Security and Surveillance Purposes
    9.4 Storage Devices and Processors
           9.4.1 Growing Adoption of Solid-State Devices to Drive the Demand for Storage Devices and Processors
    9.5 Others

10 Affective Computing Market By Vertical (Page No. - 75)
     10.1 Introduction
     10.2 Academia and Research
             10.2.1 Enhanced Class Monitoring and Student Engagement to Drive the Adoption of Affective Computing in the Academia and Research Vertical
     10.3 Media and Entertainment
             10.3.1 Growing Demand for Digital Media Content to Drive the Market Growth in the Media and Entertainment Vertical
     10.4 Government and Defense
             10.4.1 Increasing Need to Protect Sensitive Data and Ensure the Safety of Citizens to Drive the Adoption of Affective Computing Solutions in the Government and Public Sector
     10.5 Healthcare and Life Sciences
             10.5.1 Need to Analyze Patient Information to Drive the Market Growth in the Healthcare and Life Sciences Vertical
     10.6 It and Telecom
             10.6.1 Growing Demand for Enhanced Customer Experience to Drive the Market Growth in the It and Telecom Vertical
     10.7 Retail and eCommerce
             10.7.1 Increasing Popularity of Wearable Biosensors to Monitor Emotional and Physiological Changes to Drive the Market Growth in the Retail and eCommerce Vertical
     10.8 Automotive
             10.8.1 Growing Adoption of Affective Computing to Provide Ease of Access for Drivers in the Automotive Vertical
     10.9 Banking, Financial Services, and Insurance
             10.9.1 Rising Need for Virtual Assistants and Customer Behavioral Analytics to Drive the Adoption of Affective Computing in the Banking, Financial Services, and Insurance Vertical
     10.10 Others

11 Affective Computing Market By Region (Page No. - 87)
     11.1 Introduction
     11.2 North America
             11.2.1 United States
                        11.2.1.1 Government Focus on Innovation and Research to Fuel the Adoption of Affective Computing Technologies in the United States
             11.2.2 Canada
                        11.2.2.1 Increasing Government Initiatives for the Adoption of Affective Computing Technologies to Drive the Growth of the Market in Canada
     11.3 Europe
             11.3.1 United Kingdom
                        11.3.1.1 Rising Adoption of Affective Computing Technologies Across BFSI, Retail, and Government Verticals to Boost the Growth of the Market in the United Kingdom
             11.3.2 Germany
                        11.3.2.1 Increasing Adoption of Affective Technologies Across Healthcare, Automotive, and BFSI Verticals to Boost the Growth of the Affective Computing Market in Germany
             11.3.3 Rest of Europe
     11.4 Asia Pacific
             11.4.1 China
                        11.4.1.1 Increasing Investments in Integrating AI and Ml With Affective Computing Solutions to Drive the Adoption of the Market in China
             11.4.2 Japan
                        11.4.2.1 Government Initiatives to Provide Opportunities for the Adoption of Ai-Enabled Technologies Driving the Growth of the Market in Japan
             11.4.3 Australia
                        11.4.3.1 Increasing Digitalization Initiatives to Provide Deployment Opportunities for Affective Computing Solutions in Australia
             11.4.4 Rest of Asia Pacific
     11.5 Rest of the World
             11.5.1 Middle East and Africa
                        11.5.1.1 Increasing Investments in Advanced Technologies to Drive the Growth of the Market in MEA
             11.5.2 Latin America
                        11.5.2.1 Growing Technological Advancements to Drive the Growth of the Market in Latin America

12 Competitive Landscape (Page No. - 127)
     12.1 Introduction
     12.2 Competitive Leadership Mapping
             12.2.1 Visionary Leaders
             12.2.2 Dynamic Differentiators
             12.2.3 Innovators
             12.2.4 Emerging Companies
     12.3 Competitive Scenario
             12.3.1 New Product Launches and Product Enhancements
             12.3.2 Partnerships and Collaborations
             12.3.3 Mergers and Acquisitions

13 Company Profiles (Page No. - 133)
     13.1 Introduction
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     13.2 Google
     13.3 Microsoft
     13.4 IBM
     13.5 Apple
     13.6 Qualcomm
     13.7 Affectiva
     13.8 Elliptic Labs
     13.9 Eyesight Technologies
     13.10 Sony Depthsensing Solutions
     13.11 Intel
     13.12 Pyreos
     13.13 Cognitec Systems
     13.14 Beyond Verbal
     13.15 Gesturetek
     13.16 Sightcorp
     13.17 Crowdemotion
     13.18 Kairos
     13.19 Nviso
     13.20 Pointgrab
     13.21 Eyeris
     13.22 Numenta
     13.23 Right to Win

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 169)
     14.1 Discussion Guide
     14.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.3 Available Customizations
     14.4 Related Reports
     14.5 Author Details


List of Tables (117 Tables)

Table 1 Factor Analysis
Table 2 Affective Computing Market Size and Growth, 2017–2024 (USD Million, CAGR%)
Table 3 Elementary Motivations for the Adoption of Health-Related Affective Computing
Table 4 Emerging Applications for End Users
Table 5 Key Guardrails for Adoption of Affective Computing
Table 6 Use Cases: Gaming
Table 7 Use Cases: Government and Defense
Table 8 Use Cases: Automotive
Table 9 Use Cases: High Tech
Table 10 Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 11 Touch-Based: Market Size By Region, 2017–2024 (USD Million)
Table 12 Touch-Based: North America Market Size By Country, 2017–2024 (USD Million)
Table 13 Touch-Based: Europe Market Size By Country, 2017–2024 (USD Million)
Table 14 Touch-Based: Asia Pacific Market Size By Country, 2017–2024 (USD Million)
Table 15 Touchless: Affective Computing Market Size, By Region, 2017–2024 (USD Thousand)
Table 16 Touchless: North America Market Size By Country, 2017–2024 (USD Million)
Table 17 Touchless: Europe Market Size By Country, 2017–2024 (USD Million)
Table 18 Touchless: Asia Pacific Market Size By Country, 2017–2024 (USD Million)
Table 19 Market Size By Component, 2017–2024 (USD Million)
Table 20 Software: Market Size By Region, 2017–2024 (USD Million)
Table 21 Hardware: Market Size By Region, 2017–2024 (USD Million)
Table 22 Affective Computing Market Size, By Software, 2017–2024 (USD Million)
Table 23 Speech Recognition: Market Size By Region, 2017–2024 (USD Million)
Table 24 Gesture Recognition: Market Size By Region, 2017–2024 (USD Million)
Table 25 Facial Feature Extraction: Market Size By Region, 2017–2024 (USD Million)
Table 26 Analytics Software: Market Size By Region, 2017–2024 (USD Million)
Table 27 Enterprise Software: Market Size By Region, 2017–2024 (USD Million)
Table 28 Affective Computing Market Size By Hardware, 2017–2024 (USD Million)
Table 29 Sensors: Market Size By Region, 2017–2024 (USD Million)
Table 30 Cameras: Market Size By Region, 2017–2024 (USD Million)
Table 31 Storage Devices and Processors: Market Size By Region, 2017–2024 (USD Million)
Table 32 Other Hardware: Market Size By Region, 2017–2024 (USD Million)
Table 33 Affective Computing Market Size, By Vertical, 2017–2024 (USD Million)
Table 34 Academia and Research: Market Size By Region, 2017–2024 (USD Million)
Table 35 Media and Entertainment: Market Size By Region, 2017–2024 (USD Million)
Table 36 Government and Defense: Market Size By Region, 2017–2024 (USD Thousand)
Table 37 Healthcare and Life Sciences: Market Size, By Region, 2017–2024 (USD Million)
Table 38 It and Telecom: Market Size By Region, 2017–2024 (USD Million)
Table 39 Retail and eCommerce: Market Size By Region, 2017–2024 (USD Million)
Table 40 Automotive: Market Size By Region, 2017–2024 (USD Million)
Table 41 Banking, Financial Services, and Insurance: Market Size By Region, 2017–2024 (USD Million)
Table 42 Other Verticals: Market Size By Region, 2017–2024 (USD Million)
Table 43 Affective Computing Market Size, By Region, 2017–2024 (USD Million)
Table 44 North America: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 45 North America: Market Size By Component, 2017–2024 (USD Million)
Table 46 North America: Market Size By Software, 2017–2024 (USD Million)
Table 47 North America: Market Size By Hardware, 2017–2024 (USD Million)
Table 48 North America: Market Size By Vertical, 2017–2024 (USD Million)
Table 49 North America: Market Size By Country, 2017–2024 (USD Million)
Table 50 United States: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 51 United States: Market Size By Component, 2017–2024 (USD Million)
Table 52 United States: Market Size By Software, 2017–2024 (USD Million)
Table 53 United States: Market Size By Hardware, 2017–2024 (USD Million)
Table 54 United States: Market Size By Vertical, 2017–2024 (USD Million)
Table 55 Canada: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 56 Canada: Market Size By Component, 2017–2024 (USD Million)
Table 57 Canada: Market Size By Software, 2017–2024 (USD Million)
Table 58 Canada: Market Size By Hardware, 2017–2024 (USD Million)
Table 59 Canada: Market Size By Vertical, 2017–2024 (USD Million)
Table 60 Europe: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 61 Europe: Market Size By Component, 2017–2024 (USD Million)
Table 62 Europe: Market Size By Software, 2017–2024 (USD Million)
Table 63 Europe: Market Size By Hardware, 2017–2024 (USD Million)
Table 64 Europe: Market Size By Vertical, 2017–2024 (USD Million)
Table 65 Europe: Market Size By Country, 2017–2024 (USD Million)
Table 66 United Kingdom: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 67 United Kingdom: Market Size By Component, 2017–2024 (USD Million)
Table 68 United Kingdom: Market Size By Software, 2017–2024 (USD Million)
Table 69 United Kingdom: Market Size By Hardware, 2017–2024 (USD Million)
Table 70 United Kingdom: Market Size By Vertical, 2017–2024 (USD Million)
Table 71 Germany: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 72 Germany: Market Size By Component, 2017–2024 (USD Million)
Table 73 Germany: Market Size By Software, 2017–2024 (USD Million)
Table 74 Germany: Market Size By Hardware, 2017–2024 (USD Million)
Table 75 Germany: Market Size By Vertical, 2017–2024 (USD Million)
Table 76 Rest of Europe: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 77 Rest of Europe: Market Size By Component, 2017–2024 (USD Million)
Table 78 Rest of Europe: Market Size By Software, 2017–2024 (USD Million)
Table 79 Rest of Europe: Market Size By Hardware, 2017–2024 (USD Million)
Table 80 Rest of Europe: Market Size By Vertical, 2017–2024 (USD Million)
Table 81 Asia Pacific: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 82 Asia Pacific: Market Size By Component, 2017–2024 (USD Million)
Table 83 Asia Pacific: Market Size By Software, 2017–2024 (USD Million)
Table 84 Asia Pacific: Market Size By Hardware, 2017–2024 (USD Million)
Table 85 Asia Pacific: Market Size By Vertical, 2017–2024 (USD Million)
Table 86 Asia Pacific: Market Size By Country, 2017–2024 (USD Million)
Table 87 China: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 88 China: Market Size By Component, 2017–2024 (USD Million)
Table 89 China: Market Size By Software, 2017–2024 (USD Million)
Table 90 China: Market Size By Hardware, 2017–2024 (USD Million)
Table 91 China: Market Size By Vertical, 2017–2024 (USD Million)
Table 92 Japan: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 93 Japan: Market Size By Component, 2017–2024 (USD Million)
Table 94 Japan: Market Size By Software, 2017–2024 (USD Million)
Table 95 Japan: Market Size By Hardware, 2017–2024 (USD Million)
Table 96 Japan: Market Size By Vertical, 2017–2024 (USD Million)
Table 97 Australia: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 98 Australia: Market Size By Component, 2017–2024 (USD Million)
Table 99 Australia: Market Size By Software, 2017–2024 (USD Million)
Table 100 Australia: Market Size By Hardware, 2017–2024 (USD Million)
Table 101 Australia: Market Size By Vertical, 2017–2024 (USD Million)
Table 102 Rest of Asia Pacific: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 103 Rest of Asia Pacific: Market Size By Component, 2017–2024 (USD Million)
Table 104 Rest of Asia Pacific: Market Size By Software, 2017–2024 (USD Million)
Table 105 Rest of Asia Pacific: Market Size By Hardware, 2017–2024 (USD Million)
Table 106 Rest of Asia Pacific: Market Size By Vertical, 2017–2024 (USD Million)
Table 107 Rest of the World: Affective Computing Market Size, By Technology, 2017–2024 (USD Million)
Table 108 Rest of the World: Market Size By Component, 2017–2024 (USD Million)
Table 109 Rest of the World: Market Size By Software, 2017–2024 (USD Million)
Table 110 Rest of the World: Market Size By Hardware, 2017–2024 (USD Million)
Table 111 Rest of the World: Market Size By Vertical, 2017–2024 (USD Million)
Table 112 Rest of the World: Market Size By Sub-Region, 2017–2024 (USD Million)
Table 113 Evaluation Criteria
Table 114 New Product Launches and Product Enhancements, 2018–2019
Table 115 Partnerships and Collaborations, 2017–2019
Table 116 Mergers and Acquisitions, 2017–2018
Table 117 Right to Win


List of Figures (32 Figures)

Figure 1 Global Affective Computing Market: Research Design
Figure 2 Research Methodology
Figure 3 Market Size Estimation Methodology: Bottom-Up and Top-Down Approaches
Figure 4 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 5 North America to Account for the Highest Market Share in 2019
Figure 6 Fastest-Growing Segments of the Affective Computing Market
Figure 7 Constantly Evolving and Increasing Need for Resource Optimization and High Security Measures in Enterprises to Push the Demand for Affective Computing Solutions
Figure 8 Government and Defense Segment and North America to have the Highest Market Shares in 2019
Figure 9 Software Segment to have A Higher Market Share During the Forecast Period
Figure 10 Analytics Software Segment to Hold the Highest Market Share in 2019
Figure 11 Storage Devices and Processors Segment to Hold the Highest Market Share in 2019
Figure 12 Drivers, Restraints, Opportunities, and Challenges: Affective Computing Market
Figure 13 Touch-Based Segment to Dominate the Market During the Forecast Period
Figure 14 Software Segment to Hold A Higher CAGR During the Forecast Period
Figure 15 Analytics Software Segment to Hold the Highest CAGR During the Forecast Period
Figure 16 Cameras Segment to Account for the Highest CAGR DuringThe Forecast Period
Figure 17 Healthcare and Life Sciences Vertical to Hold the Largest Market Size During the Forecast Period
Figure 18 North America to Hold the Largest Market Size in the Affective Computing Market During the Forecast Period
Figure 19 North America: Market Snapshot
Figure 20 Asia Pacific: Market Snapshot
Figure 21 Affective Computing Market (Global), Competitive Leadership Mapping, 2018
Figure 22 Key Developments By the Leading Players in the Affective Computing Market During 2017–2019
Figure 23 Google: Company Snapshot
Figure 24 Google: SWOT Analysis
Figure 25 Microsoft: Company Snapshot
Figure 26 Microsoft: SWOT Analysis
Figure 27 IBM: Company Snapshot
Figure 28 IBM: SWOT Analysis
Figure 29 Apple: Company Snapshot
Figure 30 Apple: SWOT Analysis
Figure 31 Qualcomm: Company Snapshot
Figure 32 Qualcomm: SWOT Analysis

The study involved four major activities to estimate the current size of the affective computing market. Exhaustive secondary research was done to collect information on the Affective Computing Market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation procedures were used to estimate the size of the segments and subsegments of the market.

Secondary Research

In the secondary research process, various secondary sources, such as Hoovers, Bloomberg BusinessWeek, and Dun & Bradstreet have been referred to identify and collect information for this study. These secondary sources included annual reports, press releases and investor presentations of companies, whitepapers, certified publications and articles by recognized authors, gold standard and silver standard websites, regulatory bodies, trade directories, and databases.

Primary Research

The Affective Computing Market comprises several stakeholders, Machine learning / Artificial Intelligence (AI) solution and service providers cognitive and AI technology experts/providers, business intelligence tools and system experts/providers, end-users/consumers/enterprise users, telecommunication providers, Internet of Things (IoT) device/wearable device manufacturers, managed service providers, technology consultants, training and education service providers, government agencies, affective computing providers, system integrators, and Value-Added Resellers (VARs). The demand side of the market consists of financial institutions, investors, and insurance companies. The supply side includes Affective Computing solutions providers. Various primary sources from both the supply and demand sides of the market were interviewed to obtain qualitative and quantitative information. Following is the breakdown of the primary respondents:

Affective Computing Market

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the affective computing market. These methods were also used extensively to estimate the size of various segments in the market. The research methodology used to estimate the market size includes the following:

  • Key players in the market have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Report Objectives

  • To determine and forecast the global Affective Computing market by technology, component, software, hardware, vertical, and region from 2019 to 2024, and analyze the various macroeconomic and microeconomic factors that affect the market growth
  • To forecast the size of the market segments with respect to 4 main regions, namely, North America, Europe, Asia Pacific (APAC), Rest of the World (RoW)
  • To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall Affective Computing market
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the Affective Computing market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakdown of the Europe market includes the Rest of Europe includes Italy, Netherlands, and Switzerland, among others.
  • Further breakdown of the Asia Pacific market includes South Korea, India, and Singapore, among others
  • Further breakdown of the Rest of the World market comprises Latin America, the Middle East, and Africa

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

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Report Code
TC 3707
Published ON
Nov, 2019
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