Affective computing is primarily useful in reducing the distance between machines and human emotions by developing a computation system. This computation system will further help in recognizing, responding, and in expressing emotions. Computer scientists and other key players operating in the market are focusing more on affective computing. Affective computing will further develop a highly intelligent computing system that will ensure proactive and intelligent human machine interaction.
With the increasing adoption of smartphones and connected devices across the globe, consumer-centric business is emphasized on finding new ways to be ahead in the competition by using the computing technology. A survey or focus group does not provide information about the accurate emotional state of an individual related to any specific product. Moreover, individual responses are subject to biases related to the surrounding condition. The consumer emotional stage can be triggered based on the engagement with the brand or product, and it also affects the decision-making process to buy the product. Therefore, knowing the real-time emotional state of customers can further help businesses to sell their product and thereby, increase revenue generation. Affective computing is a technology that primarily helps in recognizing human decision-making by analyzing the heart rate, facial expressions, voice, and other body parameters.
The global affective computing market is expected to reach a value of US$ 70.59 bn by 2023, growing at a CAGR during the forecast period. The market is witnessing growth due to the increase in the adoption of connected devices across various end-use industries and continuous advancements in implementing technologies. Moreover, the growing use of robots in various industries will provide further incentives for the implementation of this technology. Artificial intelligence has been growing across domains such as autonomous cars, surgical robots, logistics and parking aid software, and others, that will further augment the market growth during the forecast period.
This affective computing market report covers an in-depth analysis of the market including statistical and subjective data points, along with the key market drivers and opportunities & restraints that have positive or negative effects on the overall global market. An exclusive coverage has been provided for market drivers and challenges & opportunities for a country-level market in the respective regional segments. The report comprises a competitive analysis of the key players functioning in the market and covers in-depth data related to the competitive landscape of the market and the recent strategies & products that will assist or affect the market in the near future.
The global affective computing market has been segmented based on hardware, software, technology, and end-use industries. In the hardware segment, deployment of cameras for affective computing is expected to witness significant growth during the forecast period, due to its increasing demand in the facial feature extraction software. Based on the software, the market has been categorized as speech recognition, gesture recognition, facial feature extraction, analytics software, and enterprise software. Among these, the Facial feature extraction software segment is expected to dominate the market with a high growth rate, owing to its increasing demand in smartphones and other authenticating devices.
By Hardware
By Software
By Technology
By Application
The healthcare segment is dominating the market
Artificial Intelligence (AI) in medicine has been growing and has witnessed efforts to increase the contribution to the domain. Various companies such as DeepMind, Babylon Health, and others have been making efforts towards such goals. The healthcare industry has been continuously increasing in terms of demand and the growing need for improved technology for better patient care. With regard to healthcare cognitive computing techniques such as physiological healthcare and medicine analysis have been adopting affective computing. Affective computing is in a nascent stage, as various experiments have been conducted across domains. The emergence of affective computing in the field of healthcare is likely to become a revolutionary development in this industry.
Asia-Pacific is expected to be the most lucrative market
APAC is expected to be the fastest growing region in the global affective computing market and is growing with the highest CAGR during the forecast period. This region is expected to witness growth in the market due to the increase in advancements in technology and huge investments undertaken by key players. Japan is the fastest growing market and is the largest contributor. In addition to this, rapid developments in infrastructure and higher adoption of digital technologies are the key drivers that will further accelerate the demand for the affective computing market in the APAC region.
North America was dominating the global affective computing in the year 2018 due to increasing technological implementations across this region. The US is the most technologically advanced region, with the presence of different business verticals such as BFSI, healthcare, and retail. Other regions including Europe, Latin America and the Middle East and Africa are also contributing their share to the global market growth.
North America
US
Canada
Mexico
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia Pacific
China
Japan
India
Indonesia
Thailand
Rest of APAC
Latin America
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Southern Africa
Northern Africa
GCC
Rest of Middle East & Africa
The global affective computing market is a highly competitive market due to the presence of various international, regional, and local vendors. The demand for affective computing is expected to be propelled over the coming years due to rising investments in R&D by key players, such as Google, IBM, and others. To expand the market, the majority of vendors are adopting new technologies and product launches, in order to gain competitive advantage in the global market. The affective computing market is largely driven by new product launches and acquisitions.
The competition in the global affective computing market is intense as various international and regional vendors are providing the new technology to several end-use industries for the expansion of the market. Affective computing vendors are investing in R&D facilities to foster technology development. The key players and emerging vendors have enhanced their products to have a competitive edge over others. Furthermore, companies are involved in acquisitions and expansions to improve their product offerings and increase the production process. Industry players have developed partnerships and collaborations with the leading companies for addressing the demand and for strengthening their presence across the globe.
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Table of Content
Chapter 1 Preface
1.1 Report Description
1.1.1 Purpose of the Report
1.1.2 Target Audience
1.1.3 USP and Key Offerings
1.2 Research Scope
1.3 Research Methodology
1.3.1 Phase I – Secondary Research
1.3.2 Phase II – Primary Research
1.3.3 Phase III – Expert Panel Review
1.3.4 Approach Adopted
1.3.4.1 Top-Down Approach
1.3.4.2 Bottom-Up Approach
1.3.5 Assumptions
1.4 Market Segmentation Scope
Chapter 2 Executive Summary
2.1 Market Summary
2.1.1 Global Affective Computing Market, 2016-2023, (US$ Mn)
2.1 Market Snapshot: Global Affective Computing Market
2.2 Market Dynamics
2.3 Global Affective Computing Market, by Segment, 2018
2.3.1 Global Affective Computing Market, by Hardware, 2018, (US$ Mn)
2.3.2 Global Affective Computing Market, by Software, 2018,(US$ Mn)
2.3.3 Global Affective Computing Market, by Technology, 2018 (US$ Mn)
2.3.4 Global Affective Computing Market, by End-use Industry, 2018 (US$ Mn)
2.3.5 Global Affective Computing Market, by Region, 2018 (US$ Mn)
2.4 Premium Insights
2.4.1 Affective Computing Market In Developed Vs. Developing Economies, 2018 vs 2023
2.4.2 Global Affective Computing Market: Regional Life Cycle Analysis
Chapter 3 Market Dynamics
3.1 Market Overview
3.2 Market Drivers
3.2.1 Increasing adoption of wearable devices
3.2.2 Increasing number of connected devices
3.2.3 Driver 3
3.3 Market Restraints
3.3.1 Lack of standardization and high production costs
3.3.2 Restraint 2
3.4 Market Opportunities
3.4.1 Growing adoption of Cloud-based technology and IoT
3.4.2 Opportunity 2
3.5 Industry Value Chain Analysis
3.5.1 Analyst’s Views
3.6 Industry SWOT Analysis
Chapter 4 Global Affective Computing Market, by Hardware
4.1 Market Overview, by Hardware
4.1.1 Global Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
4.1.2 Incremental Opportunity, by Hardware, From 2018-2023
4.2 Sensors
4.2.1 Global Affective Computing Market, by Sensors , 2016-2023, (US$ Mn)
4.3 Cameras
4.3.1 Global Affective Computing Market, by Cameras, 2016-2023, (US$ Mn)
4.4 Storage device & Processors
4.4.1 Global Affective Computing Market, by Storage device & Processors, 2016-2023, (US$ Mn)
4.5 Others
4.5.1 Global Affective Computing Market, by Others, 2016-2023, (US$ Mn)
Chapter 5 Global Affective Computing Market, by Software
5.1 Market Overview, by Software
5.1.1 Global Affective Computing Market, by Software , 2016-2023 (US$ Mn)
5.1.2 Incremental Opportunity, by Software , From 2018-2023
5.2 Speech Recognition
5.2.1 Global Affective Computing Market, by Speech Recognition , 2016-2023, (US$ Mn)
5.3 Gesture Recognition
5.3.1 Global Affective Computing Market, by Gesture Recognition , 2016-2023, (US$ Mn)
5.4 Gesture Recognition
5.4.1 Global Affective Computing Market, by Gesture Recognition , 2016-2023, (US$ Mn)
5.5 Analytics Software
5.5.1 Global Affective Computing Market, by Analytics Software, 2016-2023, (US$ Mn)
5.6 Enterprise Software
5.6.1 Global Affective Computing Market, by Enterprise Software, 2016-2023, (US$ Mn)
Chapter 6 Global Affective Computing Market, by Technology
6.1 Market Overview, by Technology
6.1.1 Global Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
6.1.2 Incremental Opportunity, by Technology, From 2018-2023
6.2 Touch-Base
6.2.1 Global Affective Computing Market, by Touch-Base, 2016-2023, (US$ Mn)
6.3 Touchless
6.3.1 Global Affective Computing Market, by Touchless, 2016-2023, (US$ Mn)
Chapter 7 Global Affective Computing Market, by End-use Industry
7.1 Market Overview, by End-use Industry
7.1.1 Global Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
7.1.2 Incremental Opportunity, by End-use Industry, From 2018-2023
7.2 BFSI
7.2.1 Global Affective Computing Market, by BFSI, 2016-2023, (US$ Mn)
7.3 Transportation & Logistics
7.3.1 Global Affective Computing Market, by Transportation & Logistics, 2016-2023, (US$ Mn)
7.4 IT & Telecommunication
7.4.1 Global Affective Computing Market, by IT & Telecommunication, 2016-2023, (US$ Mn)
7.5 Retail
7.5.1 Global Affective Computing Market, by Retail, 2016-2023, (US$ Mn)
7.6 Healthcare
7.6.1 Global Affective Computing Market, by Healthcare, 2016-2023, (US$ Mn)
7.7 Others
7.7.1 Global Affective Computing Market, by Others, 2016-2023, (US$ Mn)
Chapter 8 Global Affective Computing Market, by Region
8.1 Market Overview, by Region
8.1.1 Global Affective Computing Market, by Region, 2016-2023, (US$ Mn)
8.2 Attractive Investment Opportunity, by Region, 2018
8.3 North America Affective Computing Market
8.3.1 North America Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
8.3.2 North America Affective Computing Market, by Software , 2016-2023 (US$ Mn)
8.3.3 North America Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
8.3.1 North America Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
8.3.2 United States Country Profile
8.3.2.1 United States Affective Computing Market, 2016-2023 (US$ Mn)
8.3.3 Canada Country Profile
8.3.3.1 Canada Affective Computing Market, 2016-2023 (US$ Mn)
8.3.4 Mexico Country Profile
8.3.4.1 Mexico Affective Computing Market, 2016-2023 (US$ Mn)
8.4 Europe Affective Computing Market
8.4.1 Europe Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
8.4.2 Europe Affective Computing Market, by Software , 2016-2023 (US$ Mn)
8.4.3 Europe Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
8.4.4 Europe Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
8.4.5 United Kingdom Country Profile
8.4.5.1 United Kingdom Affective Computing Market, 2016-2023 (US$ Mn)
8.4.6 Germany Country Profile
8.4.6.1 Germany Affective Computing Market, 2016-2023 (US$ Mn)
8.4.7 France Country Profile
8.4.7.1 France Affective Computing Market, 2016-2023 (US$ Mn)
8.4.8 Italy Country Profile
8.4.8.1 Italy Affective Computing Market, 2016-2023 (US$ Mn)
8.4.9 Spain Country Profile
8.4.9.1 Spain Affective Computing Market, 2016-2023 (US$ Mn)
8.4.10 Rest of Europe
8.4.10.1 Rest of Europe Affective Computing Market, 2016-2023 (US$ Mn)
8.5 Asia Pacific Affective Computing Market
8.5.1 Asia Pacific Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
8.5.2 Asia Pacific Affective Computing Market, by Software , 2016-2023 (US$ Mn)
8.5.3 Asia Pacific Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
8.5.4 Asia Pacific Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
8.5.5 China Country Profile
8.5.5.1 China Affective Computing Market, 2016-2023 (US$ Mn)
8.5.6 Japan Country Profile
8.5.6.1 Japan Affective Computing Market, 2016-2023 (US$ Mn)
8.5.7 India Country Profile
8.5.7.1 India Affective Computing Market, 2016-2023 (US$ Mn)
8.5.8 South Korea Country Profile
8.5.8.1 South Korea Affective Computing Market, 2016-2023 (US$ Mn)
8.5.9 Southeast Asia Country Profile
8.5.9.1 Southeast Asia Affective Computing Market, 2016-2023 (US$ Mn)
8.5.10 Rest of Asia Pacific
8.5.10.1 Rest of Asia Pacific Affective Computing Market, 2016-2023 (US$ Mn)
8.6 Latin America Affective Computing Market
8.6.1 Latin America Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
8.6.2 Latin America Affective Computing Market, by Software , 2016-2023 (US$ Mn)
8.6.3 Latin America Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
8.6.4 Latin America Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
8.6.5 Brazil Country Profile
8.6.5.1 Brazil Affective Computing Market, 2016-2023 (US$ Mn)
8.6.6 Argentina Country Profile
8.6.6.1 Argentina Affective Computing Market, 2016-2023 (US$ Mn)
8.6.7 Rest of Latin America
8.6.7.1 Rest of Latin America Affective Computing Market, 2016-2023 (US$ Mn)
8.7 Middle East & Africa Affective Computing Market
8.7.1 Middle East & Africa Affective Computing Market, by Hardware, 2016-2023 (US$ Mn)
8.7.2 Middle East & Africa Affective Computing Market, by Software , 2016-2023 (US$ Mn)
8.7.3 Middle East & Africa Affective Computing Market, by Technology, 2016-2023 (US$ Mn)
8.7.4 Middle East & Africa Affective Computing Market, by End-use Industry, 2016-2023 (US$ Mn)
8.7.5 Southern Africa
8.7.5.1 Southern Africa Affective Computing Market, 2016-2023 (US$ Mn)
8.7.6 Northern Africa
8.7.6.1 Northern Africa Affective Computing Market, 2016-2023 (US$ Mn)
8.7.7 GCC
8.7.7.1 GCC Affective Computing Market, 2016-2023 (US$ Mn)
8.7.8 Rest of Middle East & Africa
8.7.8.1 Rest of Middle East & Africa Affective Computing Market, 2016-2023 (US$ Mn)
Chapter 9 Competitive Intelligence
9.1 Market Players Present in Market Life Cycle
9.2 Top 5 Players Comparison
9.3 Market Positioning of Key Players, 2018
9.4 Market Players Mapping
9.4.1 By Hardware
9.4.2 By Software
9.4.3 By Technology
9.4.1 By End-use Industry
9.4.2 By Region
9.5 Strategies Adopted by Key Market Players
9.6 Recent Developments in the Market
9.6.1 Mergers & Acquisitions, Partnership, New Product Developments
9.7 Operational Efficiency Comparison by Key Players
Chapter 10 Company Profiles
10.1 Google Inc.
10.1.1 Google Inc. Overview
10.1.2 Key Stakeholders/Person in Google Inc.
10.1.3 Google Inc. Co. Products Portfolio
10.1.4 Google Inc. Financial Overview
10.1.5 Google Inc. Co. News/Recent Developments
10.2 IBM Corporation
10.2.1 IBM Corporation Overview
10.2.2 Key Stakeholders/Person in IBM Corporation
10.2.3 IBM Corporation Products Portfolio
10.2.4 IBM Corporation Financial Overview
10.2.5 IBM Corporation News/Recent Developments
10.3 Microsoft
10.3.1 Microsoft Overview
10.3.2 Key Stakeholders/Person in Microsoft
10.3.3 Microsoft Products Portfolio
10.3.4 Microsoft Financial Overview
10.3.5 Microsoft News/Recent Developments
10.4 Apple, Inc.
10.4.1 Apple, Inc. Overview
10.4.2 Key Stakeholders/Person in Apple, Inc.
10.4.3 Apple, Inc. Products Portfolio
10.4.4 Apple, Inc. Financial Overview
10.4.5 Apple, Inc. News/Recent Developments
10.5 Qualcomm Inc.
10.5.1 Qualcomm Inc. Overview
10.5.2 Key Stakeholders/Person in Qualcomm Inc.
10.5.3 Qualcomm Inc. Products Portfolio
10.5.4 Qualcomm Inc. Financial Overview
10.5.5 Qualcomm Inc. News/Recent Developments
10.6 Affectiva
10.6.1 Affectiva Overview
10.6.2 Key Stakeholders/Person in Affectiva
10.6.3 Affectiva Products Portfolio
10.6.4 Affectiva Financial Overview
10.6.5 Affectiva News/Recent Developments
10.7 Elliptic Labs
10.7.1 Elliptic Labs Overview
10.7.2 Key Stakeholders/Person in Elliptic Labs
10.7.3 Elliptic Labs Products Portfolio
10.7.4 Elliptic Labs Financial Overview
10.7.5 Elliptic Labs News/Recent Developments
10.8 Eyesight Technologies, Ltd.
10.8.1 Eyesight Technologies, Ltd. Overview
10.8.2 Key Stakeholders/Person in Eyesight Technologies, Ltd.
10.8.3 Eyesight Technologies, Ltd. Products Portfolio
10.8.4 Eyesight Technologies, Ltd. Financial Overview
10.8.5 Eyesight Technologies, Ltd. News/Recent Developments
10.9 Beyond Verbal Communication Ltd.
10.9.1 Beyond Verbal Communication Ltd. Overview
10.9.2 Key Stakeholders/Person in Beyond Verbal Communication Ltd.
10.9.3 Beyond Verbal Communication Ltd. Products Portfolio
10.9.4 Beyond Verbal Communication Ltd. Financial Overview
10.9.5 Beyond Verbal Communication Ltd. News/Recent Developments
10.10 Cognitec Systems GmbH
10.10.1 Cognitec Systems GmbH Overview
10.10.2 Key Stakeholders/Person in Cognitec Systems GmbH
10.10.3 Cognitec Systems GmbH Products Portfolio
10.10.4 Cognitec Systems GmbH Financial Overview
10.10.5 Cognitec Systems GmbH News/Recent Developments
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