Global Affective Computing Market By Application, By Product, and By Region 2019-2024

20off

In this report, Research Reports Inc studies the present scenario (with the base year being 2018) and the growth prospects of global Affective Computing market for 2019-2024.

Affective computing (also known as artificial emotional intelligence, or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical inquiries into emotion (“affect” is, basically, a synonym for “emotion.”), the more modern branch of computer science originated with Rosalind Picard’s 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response for those emotions.
Two major categories describing emotions in machines are Emotional speech and Facial affect detection. In the forecast perio, Touchless AI models is seeing to is expected to grow at a high rate and hold the largest share of the affective computing market between 2018 and 2025.

Potential applications for affective computing seems limitless. The market for affective computing systems has already started to evolve, with enabling technologies already being adopted across in many areas like market research, healthcare, media & advertisement, automotive, retail, education, communication and so on. In 2018, the healthcare sector recorded the largest market share in terms of affective computing technology implementation, owing to the large number of application areas which include facial expression recognition for the specially abled children (autism, dyslexia, and others) and detection of psychological disorders in this area.

North America is estimated to hold the largest market share (about 33.85%) in 2018 due to the presence of a large number of enterprises deploying affective computing technologies, along with technological advanced scenarios. However, APAC offers the potential growth opportunities for the market to emerge over the coming years and surpass the North American affective computing market in terms of technology adoption. The key factors driving the growth rate in the APAC region include increasing technological implementations and rising smart city investments.

IBM, Microsoft, Eyesight Technologies, Affectiva, gestigon GmbH, Beyond Verbal, nViso SA, and Cogito Corporation, Kairos are some of the major market players in this market. Other prominent vendors include Crowd Emotion, NuraLogix, iMotions, Drive.ai, the Affective Computing Company and etc. Increasing investments in affective computing market and rise in the number of acquisitions of start-ups by leading players such as Affectiva, Eyeris Technologies, IBM, etc., are anticipated to thrive the global market of affective computing over the next few years.

Slow digitization rate across emerging economies, exuberant cost of making affective computing systems, and other operational challenges are the major restraining factors for the growth of the global affective computing market.

Over the next five years, Research Reports Inc projects that Affective Computing will register a 43.0% CAGR in terms of revenue, reach US$ 1710 million by 2024, from US$ 200 million in 2018.

This report presents a comprehensive overview, market shares and growth opportunities of Affective Computing market by product type, application, key companies and key regions.

To calculate the market size, Research Reports Inc considers value generated from the sales of the following segments:

Segmentation by product type:
Touch-Based
Touchless
Segmentation by application:
Market Research
Healthcare
Media & Advertisement
Automotive
Others

We can also provide the customized separate regional or country-level reports, for the following regions:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
IBM
Microsoft
Eyesight Technologies
Affectiva
NuraLogix
gestigon GmbH
Crowd Emotion
Beyond Verbal
nViso
Cogito Corporation
Kairos

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global Affective Computing market size by key regions/countries, product type and application.
To understand the structure of Affective Computing market by identifying its various subsegments.
Focuses on the key global Affective Computing players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Affective Computing with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Affective Computing submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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Table of Contents

2019-2024 Global Affective Computing Market Report (Status and Outlook)

1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered

2 Executive Summary
2.1 World Market Overview
2.1.1 Global Affective Computing Market Size 2019-2024
2.1.2 Affective Computing Market Size CAGR by Region
2.2 Affective Computing Segment by Type
2.2.1 Touch-Based
2.2.2 Touchless
2.3 Affective Computing Market Size by Type
2.3.1 Global Affective Computing Market Size Market Share by Type (2019-2024)
2.3.2 Global Affective Computing Market Size Growth Rate by Type (2019-2024)
2.4 Affective Computing Segment by Application
2.4.1 Market Research
2.4.2 Healthcare
2.4.3 Media & Advertisement
2.4.4 Automotive
2.4.5 Others
2.5 Affective Computing Market Size by Application
2.5.1 Global Affective Computing Market Size Market Share by Application (2019-2024)
2.5.2 Global Affective Computing Market Size Growth Rate by Application (2019-2024)

3 Affective Computing Key Players
3.1 Date of Key Players Enter into Affective Computing
3.2 Key Players Affective Computing Product Offered
3.3 Key Players Affective Computing Funding/Investment Analysis
3.4 Funding/Investment
3.4.1 Funding/Investment by Regions
3.4.2 Funding/Investment by End Industry
3.5 Key Players Affective Computing Valuation & Market Capitalization
3.6 Key Players Mergers & Acquisitions, Expansion Plans
3.7 Market Ranking
3.8 New Product/Technology Launches
3.9 Partnerships, Agreements, and Collaborations
3.10 Mergers and Acquisitions

4 Affective Computing by Regions
4.1 Affective Computing Market Size by Regions
4.2 Americas Affective Computing Market Size Growth
4.3 APAC Affective Computing Market Size Growth
4.4 Europe Affective Computing Market Size Growth

5 Americas
5.1 Americas Affective Computing Market Size by Countries
5.2 Americas Affective Computing Market Size by Type
5.3 Americas Affective Computing Market Size by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Key Economic Indicators of Few Americas Countries

6 APAC
6.1 APAC Affective Computing Market Size by Countries
6.2 APAC Affective Computing Market Size by Type
6.3 APAC Affective Computing Market Size by Application
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 Key Economic Indicators of Few APAC Countries

7 Europe
7.1 Europe Affective Computing by Countries
7.2 Europe Affective Computing Market Size by Type
7.3 Europe Affective Computing Market Size by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
7.9 Key Economic Indicators of Few Europe Countries

8 Market Drivers, Challenges and Trends
8.1 Market Drivers and Impact
8.1.1 Growing Demand from Key Regions
8.1.2 Growing Demand from Key Applications and Potential Industries
8.2 Market Challenges and Impact
8.3 Market Trends
8.4 Market Ecosystem and Roles

9 Key Investors in Affective Computing
9.1 Company A
9.1.1 Company A Company Details
9.1.2 Company Description
9.1.3 Companies Invested by Company A
9.1.4 Company A Key Development and Market Layout
9.2 Company B
9.2.1 Company B Company Details
9.2.2 Company Description
9.2.3 Companies Invested by Company B
9.2.4 Company B Key Development and Market Layout
9.3 Company C
9.3.1 Company C Company Details
9.3.2 Company Description
9.3.3 Companies Invested by Company C
9.3.4 Company C Key Development and Market Layout
9.4 Company D
9.4.1 Company D Company Details
9.4.2 Company Description
9.4.3 Companies Invested by Company D
9.4.4 Company D Key Development and Market Layout


10 Key Players Analysis
10.1 IBM
10.1.1 Company Details
10.1.2 Affective Computing Product Offered
10.1.3 IBM Affective Computing Market Size
10.1.4 Main Business Overview
10.1.5 IBM News
10.2 Microsoft
10.2.1 Company Details
10.2.2 Affective Computing Product Offered
10.2.3 Microsoft Affective Computing Market Size
10.2.4 Main Business Overview
10.2.5 Microsoft News
10.3 Eyesight Technologies
10.3.1 Company Details
10.3.2 Affective Computing Product Offered
10.3.3 Eyesight Technologies Affective Computing Market Size
10.3.4 Main Business Overview
10.3.5 Eyesight Technologies News
10.4 Affectiva
10.4.1 Company Details
10.4.2 Affective Computing Product Offered
10.4.3 Affectiva Affective Computing Market Size
10.4.4 Main Business Overview
10.4.5 Affectiva News
10.5 NuraLogix
10.5.1 Company Details
10.5.2 Affective Computing Product Offered
10.5.3 NuraLogix Affective Computing Market Size
10.5.4 Main Business Overview
10.5.5 NuraLogix News
10.6 gestigon GmbH
10.6.1 Company Details
10.6.2 Affective Computing Product Offered
10.6.3 gestigon GmbH Affective Computing Market Size
10.6.4 Main Business Overview
10.6.5 gestigon GmbH News
10.7 Crowd Emotion
10.7.1 Company Details
10.7.2 Affective Computing Product Offered
10.7.3 Crowd Emotion Affective Computing Market Size
10.7.4 Main Business Overview
10.7.5 Crowd Emotion News
10.8 Beyond Verbal
10.8.1 Company Details
10.8.2 Affective Computing Product Offered
10.8.3 Beyond Verbal Affective Computing Market Size
10.8.4 Main Business Overview
10.8.5 Beyond Verbal News
10.9 nViso
10.9.1 Company Details
10.9.2 Affective Computing Product Offered
10.9.3 nViso Affective Computing Market Size
10.9.4 Main Business Overview
10.9.5 nViso News
10.10 Cogito Corporation
10.10.1 Company Details
10.10.2 Affective Computing Product Offered
10.10.3 Cogito Corporation Affective Computing Market Size
10.10.4 Main Business Overview
10.10.5 Cogito Corporation News
10.11 Kairos

11 Research Findings and Conclusion

Research Process

The research starts with the extensive procurement process of data/information and statistics from company annual reports, government websites, statistic agencies, and paid databases. This information creates a base for the study. This information also helps to define the scope and to narrow down the area for study for the market. This raw information is processed and analysed to extract crisp data points which currently affect or are likely to affect the industry over the forecast period. After analysing the information, a proprietary market estimation & forecast technique is applied, which generates the quantitative figures/sizes of the market/sub-segments in the current scenario as well as for over the forecast period. After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

DATA MINING

Data mining is one of the extensive stages of our research process. It involves the procurement of market data and related information through different verified & credible sources. This step helps to obtain the raw information about the supply chain of the industry, the monetary process of different Products & End-Uses, the pool of market participants & the nature of the industry and the scope of the study. The data mining stage comprises both primary as well as secondary sources of information. Some of the key data sources are as follows:

Secondary Research In the process of secondary research, various sources are referred to identify and collect industry trends and information for the research process. We at having access to some of the most diversified and extensive paid databases which give us the most accurate data/information on markets sizes, Products and pricing.

In the primary research process for data mining, various key industry participants from both supply and demand side are interviewed to obtain both qualitative as well as quantitative information on the market. In-depth interviews with key primary respondents, including industry professionals, subject matter experts (SMEs), industry consultants, and C-level executives of major companies are conducted to obtain critical qualitative and quantitative aspects pertaining to the market, as well as to assess the prospects for market growth over the forecast period.

ANALYSIS

This step involves the analysis & mapping of all the information procured from the previous step. This step also encompasses the scrutiny of data discrepancies observed across various data sources and finalising the appropriate data for estimation and forecasting. This analysis is done by our experienced panel of industry analysts.

MARKET ESTIMATION

Understanding and penetrating the market in terms of valuation is a crucial task in the process of business research. This again becomes significantly important while investing and choosing the business opportunities. In this regard, we perform two ways market sizing approach simultaneously namely top-down and bottom-up approaches. In this step, we place different data points, numeric attributes, information, and industry trends at an appropriate space in order to deduce the estimates & forecast values over the coming years. We use different mathematical models to estimate the market sizes of different economies and segments. Each of which is further summed up to define the total market. We own a proprietary tool for market estimations which helps us to comprehend market size estimates & forecasts for different markets and industries. Below figure explains the process of market estimation using independent tool employed by our analysts to get the sizing off the market.