Global affective computing market forecast and opportunities, 2022 brochure

G l o b a l A f f e c t ive Co m p u t i n g M a r ke t

By Te c h n o l o g y, By S o l u t i o n , By E n d U s e r, C o m p e t i t i o n Fo re c a s t & O p p o r t u n i t i e s , 2012 – 2022 Market Intelligence . Consulting

Ta b l e o f C o n t e n t s S. No.

Contents

1.

Product Overview

2.

Research Methodology

3.

Analyst View

4.

Global Affective Computing Market Outlook 4.1.

Market Landscape

4.2.

Market Size & Forecast 4.2.1.

4.3.

By Value

Market Share & Forecast 4.3.1.

By Technology (Touchless Vs. Touch-based)

4.3.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

4.3.3.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

4.3.4.

By Region

4.3.5.

By Company

5.

Global Affective Computing Market Attractiveness Index

6.

North America Affective Computing Market Outlook 6.1.

Market Size & Forecast 6.1.1.

6.2.

By Value

Market Share & Forecast 6.2.1.

By Technology (Touchless Vs. Touch-based)

6.2.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

6.2.3.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

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Contents 6.2.4.

6.3.

By Country

US Affective Computing Market Outlook 6.3.1.

Market Size & Forecast 6.3.1.1.

6.3.2.

Market Share & Forecast 6.3.2.1.

6.4.

Market Size & Forecast 6.4.1.1.

6.4.2.

By Value

Market Share & Forecast 6.4.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Mexico Affective Computing Market Outlook 6.5.1.

Market Size & Forecast 6.5.1.1.

6.5.2.

By Value

Market Share & Forecast 6.5.2.1.

7.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Canada Affective Computing Market Outlook 6.4.1.

6.5.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Europe Affective Computing Market Outlook 7.1.

Market Size & Forecast 7.1.1.

7.2.

By Value

Market Share & Forecast 7.2.1.

By Technology (Touchless Vs. Touch-based)

7.2.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

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Contents

7.3.

7.2.3.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

7.2.4.

By Country

United Kingdom Affective Computing Market Outlook 7.3.1.

Market Size & Forecast 7.3.1.1.

7.3.2.

Market Share & Forecast 7.3.2.1.

7.4.

Market Size & Forecast 7.4.1.1.

7.4.2.

By Value

Market Share & Forecast 7.4.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

France Affective Computing Market Outlook 7.5.1.

Market Size & Forecast 7.5.1.1.

7.5.2.

By Value

Market Share & Forecast 7.5.2.1.

7.6.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Germany Affective Computing Market Outlook 7.4.1.

7.5.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Spain Affective Computing Market Outlook 7.6.1.

Market Size & Forecast 7.6.1.1.

7.6.2.

By Value

Market Share & Forecast

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Contents 7.6.2.1.

7.7.

Italy Affective Computing Market Outlook 7.7.1.

Market Size & Forecast

7.7.1.1.

7.7.2.

By Value

Market Share & Forecast 7.7.2.1.

8.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Asia-Pacific Affective Computing Market Outlook 8.1.

Market Size & Forecast 8.1.1.

8.2.

8.3.

By Value

Market Share & Forecast 8.2.1.

By Technology (Touchless Vs. Touch-based)

8.2.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

8.2.3.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

8.2.4.

By Country

China Affective Computing Market Outlook 8.3.1.

Market Size & Forecast

8.3.1.1.

8.3.2.

By Value

Market Share & Forecast 8.3.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

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Contents 8.4.

Japan Affective Computing Market Outlook 8.4.1.

Market Size & Forecast 8.4.1.1.

8.4.2.

Market Share & Forecast 8.4.2.1.

8.5.

Market Size & Forecast 8.5.1.1.

8.5.2.

By Value

Market Share & Forecast 8.5.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

South Korea Affective Computing Market Outlook 8.6.1.

Market Size & Forecast

8.6.1.1.

8.6.2.

By Value

Market Share & Forecast 8.6.2.1.

8.7.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

India Affective Computing Market Outlook 8.5.1.

8.6.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Singapore Affective Computing Market Outlook 8.7.1.

Market Size & Forecast 8.7.1.1.

8.7.2.

By Value

Market Share & Forecast 8.7.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

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Ta b l e o f C o n t e n t s S. No. 9.

Contents South America Affective Computing Market Outlook 9.1.

Market Size & Forecast 9.1.1.

9.2.

9.3.

By Value

Market Share & Forecast 9.2.1.

By Technology (Touchless Vs. Touch-based)

9.2.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

9.2.3.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

9.2.4.

By Country

Brazil Affective Computing Market Outlook

9.3.1.

Market Size & Forecast 9.3.1.1.

9.3.2.

Market Share & Forecast 9.3.2.1.

9.4.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Argentina Affective Computing Market Outlook 9.4.1.

Market Size & Forecast 9.4.1.1.

9.4.2.

By Value

Market Share & Forecast 9.4.2.1.

9.5.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Colombia Affective Computing Market Outlook 9.5.1.

Market Size & Forecast 9.5.1.1.

By Value

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Ta b l e o f C o n t e n t s S. No.

Contents 9.5.2.

Market Share & Forecast 9.5.2.1.

10.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Middle East & Africa Affective Computing Market Outlook 10.1.

Market Size & Forecast 10.1.1

10.2.

10.3

By Value

Market Share & Forecast 10.2.1.

By Technology (Touchless Vs. Touch-based)

10.2.2.

By Solution (Facial Expression Recognition, Physiological Recognition, Speech Recognition, and Gesture Recognition)

10.2.3.

By End User End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

10.2.4.

By Country

UAE Affective Computing Market Outlook 10.3.1.

Market Size & Forecast 10.3.1.1.

10.3.2.

Market Share & Forecast 10.3.2.1.

10.4.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Saudi Arabia Affective Computing Market Outlook 10.4.1.

Market Size & Forecast 10.4.1.1.

10.4.2.

By Value

Market Share & Forecast 10.4.2.1.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

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Contents 10.5.

South Africa Affective Computing Market Outlook 10.5.1.

Market Size & Forecast 10.5.1.1.

10.5.2

Market Share & Forecast 10.5.2.1.

10.6.

Market Size & Forecast 10.6.1.1.

10.6.2

13.

By Value

Market Share & Forecast 10.6.2.1.

12.

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Qatar Affective Computing Market Outlook 10.6.1.

11.

By Value

By End User (Market Research, Media & Advertising, Healthcare, Automotive, and Others)

Market Dynamics

11.1.

Drivers

11.2.

Challenges

Market Trends & Developments 12.1.

Smart Wearables Incorporating Affective Computing

12.2.

Rising Demand for Interactive Computers

12.3.

Growing Integration of Affective Computing with Other Devices

12.4.

Rising Popularity of Research Based on Emotions

12.5.

Increasing Number of Firms Working on Affective Computing

12.6.

Open-ended Platform for Development

12.7.

Benefits in Healthcare Industry

12.8.

Advancement in Technology

Competitive Landscape

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Ta b l e o f C o n t e n t s S. No.

Contents 13.1.

Competitive Benchmarking

13.2.

Company Profiles 13.2.1.

Affectiva, Inc

13.2.2.

Apple Inc.

13.2.3.

International Business Machines (IBM) Corporation

13.2.4.

Google Inc.

13.2.5.

Microsoft Corporation

13.2.6.

Intel Corporation

13.2.7.

Eyeris Technologies, Inc

13.2.8.

GestureTek, Inc.

13.2.9.

Numenta, Inc.

13.2.10.

Beyond Verbal Communication, Ltd

13.2.11.

Kairos AR, Inc.

13.2.12.

Realeyes Data Services Ltd

13.2.13.

nViso Sarl

13.2.14.

SoftKinetic-Optrima S.A.

13.2.15.

Sightcorp BV

13.2.16.

Cognitec Systems GmbH

13.2.17.

Jibo, Inc.

13.2.18.

Elliptic Laboratories AS

13.2.19.

Sensumco Limited

13.2.20.

Noldus Information Technology B.V.

14.

Strategic Recommendations

15.

About Us & Disclaimer

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Product Overview Affective computing is the development of a system and device, which includes software and hardware that can

recognize, process, interpret, and simulate human behavior. It is a combination of various fields such as computer science, psychology and cognitive science. Affective computing helps in stimulating empathy in computers. The machine should interpret the emotional state of humans and adapt its behavior to them, thereby giving an appropriate response to those emotions. Affective computing has its theoretical foundation on psychology and neuroscience.

Affective computing helps computers and other electronic devices to understand the human

needs and give an interactive and enhanced experience to humans.

Machines till now did what humans wanted via physical

command.

With

emerging

Artificial

Intelligence (AI) and Internet of Things (IoT) technologies coupled with affective computing, machines can predict in real time what humans might need and can prompt suggestions and take proactive measures to satisfy the human needs.

11 Š TechSci Research

Research Methodology Baseline Methodology: Our dedicated team of industry experts comprehensively monitored and analyzed various aspects of global affective computing market. The team also analyzed various industry segments and speculated a positive future for the industry. Taking into consideration growth in various fields such as affective computing, Internet of Things (IoT), Artificial Intelligence etc., our team of analysts has provided a prudent analysis of the industry’s performance in future. This would enable our clients in planning investment decisions and explore growth opportunities in global affective computing market.

For our study, we have gathered information through primary research surveys with various players in the affective computing market, globally, followed by an exhaustive search of credible paid databases. Our team of experts has then prudently evaluated all the collected information and organized it in a chronological order to depict a meaningful and clear picture of global affective computing market.

In addition, while compiling data, we have also validated all the collected information from multiple sources and data warehouses in order to present the most accurate and precise information of the concerned industry. We have also identified and analyzed all emerging trends, including important drivers and challenges confronting the affective computing market, globally. We have also presented various forecasts for the industry based on our in-depth analysis of market dynamics, prevalent trends, major developments and growth opportunities.

Data provided in the report depicts financial year. For instance, 1st January, 2012-31 December, 2013 (stated in the report as 2012), and the same is applicable for all corresponding years.

Companies Interviewed

Affectiva, IBM, Apple, Google, Intel Corporation, Eyeris, GestureTek, Inc., Numenta, Inc. Numenta, Inc. Beyond Verbal Communication, Ltd, etc.

12 Sources: Company Website, Annual Reports, Bloomberg, Press Releases, etc. Š TechSci Research

Research Methodology

Affective Computing Market to Grow at CAGR 27% till 2022 According to TechSci Research report, “Global Affective Computing Market By Technology, By Solution,

By End User, Competition Forecast & Opportunities, 2012 – 2022”, global affective computing market is projected to grow at a CAGR of 27.47%, in value terms, during 2017-2022. Growing use of smart wearable devices and increasing deployment of affective computing solutions by most of the Fortune 500 companies for studying and analyzing their target audience coupled with rising number of start-ups is expected to drive global affective computing market during forecast period. Moreover, increasing role of social robots, which are integrated with affective computing solutions, in healthcare and other industries is anticipated to boost demand for affective computing, globally, through 2022.

On the basis of solutions, the global affective computing market has been segmented into facial expression recognition, physiological recognition, speech recognition, and gesture recognition. In 2016, facial expression recognition solutions dominated the market, on account of their ability to map the user expressions and analyze them in real time. However, over the coming years, physiological recognition solutions are expected to emerge as the fastest growing type of affective computing solutions, owing to increase in the number of smart wearable users coupled with the use of these solutions in the healthcare and entertainment industries.

“Affective computing is the strongest tool for studying consumer behavior and predicting consumer needs. It helps to understand, map and analyze consumers’ behavior to find out their true feelings about the product/service and consequently, it becomes easier to predict what the consumer wants.

Not in just market research, affective computing has applications in healthcare, media & advertising, online education, etc., thereby creating huge growth opportunities for global affective computing market,” said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.

13 © TechSci Research

Research Methodology Figure 1: Global Affective Computing Market Size, By Value,

2012-2022F (USD Billion) CAGR X% (2012-2016)

1.00

4.00

7.00

10.00

Figure 3: Global Affective Computing Market Share, By Solution, By Value, 2012-2022F 40%

40%

40%

40%

40%

40%

40%

40%

40%

40%

40%

30%

30%

30%

30%

30%

30%

30%

30%

30%

30%

30%

20%

20%

20%

20%

20%

20%

20%

20%

20%

20%

20%

10%

10%

10%

10%

10%

10%

10%

10%

10%

10%

10%

CAGR X% (2017E-2022F)

13.00

2012 2013 2014 2015 2016

16.00

19.00

22.00

25.00

28.00

31.00

2017E2018F2019F2020F2021F2022F

2012 2013 2014 2015 2016 2017E 2018F 2019F 2020F 2021F 2022F

Figure 2: Global Affective Computing Market Share, By Technology, By Value, 2012–2022F

Gesture Recognition

Speech Recognition

Figure 9: Global Affective Computing Market Attractiveness Index, By

70% 70% 70% 70% 70% 70% 70% 70% 70% 70% 70%

Technology, By Value, 2017E-2022F

30% 30% 30% 30% 30% 30% 30% 30% 30% 30% 30%

2012 2013 2014 2015 2016 2017E 2018F 2019F 2020F 2021F 2022F Touchless

Touch-based

Figure 49: India’s Share in Asia-Pacific Affective Computing Market, By Value, 2016 & 2022F

X%

2.00% 1.50%

Touchless

1.00%

Touch-based

0.50% 0.00% 0.00

India 2016

CAGR (2017E-2022F)

2.50%

2022F X%

0.50 Low

1.00

1.50

Medium

2.00

2.50 High

Note: The size of the bubble corresponds to the market size in 2016 Source: XXXXX Note: These are dummy figures; please purchase our report for actual data

14 © TechSci Research

Research Methodology

Report Name: Global Affective Computing Market

By Technology, By Solution, By End User, Competition Forecast & Opportunities, 2012 – 2022

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market research reports in a number of areas to organizations. The company uses innovative business models that focus on improved productivity, that also ensure the creation of high-quality reports. The proprietary forecasting models use various analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global industry prospects. Combined with the detailed analysis of company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.

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Disclaimer: The contents of this report are based on information generally available to the public from sources believed to be reliable. No representation is made that it is timely, accurate or complete. TechSci Research has taken due care and caution in compilation of data as this has been obtained from various sources including which it considers reliable and first hand. However, TechSci Research does not guarantee the accuracy, adequacy or completeness of any information and it is not responsible for any errors or omissions or for the results obtained from the use of such information and especially states that it has no financial liability whatsoever to the subscribers / users of this report. The information herein, together with all estimates and forecasts, can change without notice. All the figures provided in this document are indicative of relative market size and are strictly for client’s internal consumption. Usage of the same for purpose other than internal will require prior approval of TechSci Research.

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