Affective Computing Market Analysis 2019-2023: Key Findings, Regional Analysis, Top Key Players Profiles and Future Prospects

Affective Computing Market Analysis 2019-2023: Key Findings, Regional Analysis, Top Key Players Profiles and Future Prospects

Affective Computing Market
The report on the global Affective Computing Market covers historical market trends, current market dynamics, market valuation by segmentation as well as region, country-level analysis for every segment, key player’s market share analysis, competitive landscape and supply chain analysis.

Market Synopsis:

As per Market Research Future (MRFR)’s study, the global affective computing market is poised to gain quick mileage in the upcoming years. The report suggests that the market is set to experience healthy growth during the forecast period 2017 to 2023.

Industry leaders across different verticals are capitalizing on the effectiveness of affective computing for providing enhanced customer experience. For instance, the e-commerce sector is focusing on the utilization of affective computing for offering personalized experience to its customers. Similarly, media, gaming, and other industries are focusing on technological innovations for leveraging affective computing to accelerate revenue creation.

Healthcare providers are pioneering affective computing for improving their services. The growth of healthcare technology is likely to intensify the expansion of the affective computing market over the next couple of years. The market is still at a nascent stage and is estimated to draw the attention of researchers and investors during the assessment period.

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Segmentation:

By type, the global affective computing market has been segmented into hardware, software. The software segment has been further sub-segmented into analytics software, enterprise software, facial feature extraction, gesture recognition, speech recognition, and others.

By vertical, the affective computing market has been segmented into, public sector, transportation & logistics, retail, IT &Telecom, BSFI (Banking, Financial Services, and Insurance), and others.

By deployment, the global affective computing market has been segmented into cloud and on-premise.

By organization size, the affective computing market has been segmented into small & medium scale enterprise (SME’s) and large enterprises.

By technology, the global affective computing market has been segmented into touch-based and touchless. 

Competitive Dashboard:

Some of the prominent participants of the Affective Computing Market share analysis are Google LLC (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Saffron Technologies Inc. (U.S.), Elliptic Labs A/S (Norway), Eyesight Technologies Ltd. (Israel), Qualcomm Inc. (U.S.), Pyreos Limited (Scotland), Softkinetic Systems (Belgium), and SiteCorp. (The Netherlands).

Other market players with fair shares of the affective computing market are Dream Face Technologies (U.S.), Palantir Technologies (U.S.), Gesturetek (U.S.), Affectiva (U.S.), Numenta (U.S.), CrowdEmotion (U.K), Emotional Recognition (U.K), SRI International (U.S.), Feel Wristband (Sentio Solutions) (U.S.), and Vokaturi (The Netherlands).

Regional Analysis:

By region, the global affective computing market has been segmented into North America, Europe, Asia Pacific, and Latin America, the Middle East & Africa (LAMEA). North America held the lion’s share of the global market in 2016. It is projected to retain a prominent share of the market over the next few years. The region has gained a competitive edge owing to the quick implementation of novel technologies, growth strategies devised by the key players present in the region, increasing investments and technological innovations. In addition, the rising research & development activities coupled with mergers & acquisitions, collaborations, etc.  are poised to dictate the growth of the affective computing market in the foreseeable future. The U.S., Canada, and Mexico are likely to contribute significantly to the development of the market.

Asia Pacific signifies a myriad opportunities for supporting market growth. It is expected to exhibit significant growth in the forthcoming years. The region has been witnessing a rise in technological implementations which has opened new avenues of growth opportunities. It is anticipated to augment the regional affective computing market across the review period. India, Japan, China, South Korea, and Australia are the key country-level market of the region.

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Industry News:

In March 2018, Empatica, a software developer for seizure monitoring and neurological research, has announced the release of a stress management software. The device is designed to study the physiological signals accurately and has been approved by the U.S. Food & Drug Administration (FDA).

TABLE OF CONTENTS

1 Executive Summary

2 Scope Of The Report

2.1 Market Definition

2.2 Scope Of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

Continued…….

LIST OF TABLES

Table1 Global Affective Computing Market: By Region, 2018-2023

Table2 North America Affective Computing Market: By Country, 2018-2023

Table3 Europe Affective Computing Market: By Country, 2018-2023

Table4 Asia Pacific Affective Computing Market: By Country, 2018-2023

Table5 The Middle East & Africa Affective Computing Market: By Country, 2018-2023

Continued……

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LIST OF FIGURES

FIGURE 1 Global Affective Computing Market Segmentation

FIGURE 2 Forecast Methodology

FIGURE 3 Porter’s Five Forces Analysis Of Global Affective Computing Market

FIGURE 4 Value Chain Of Global Affective Computing Market

FIGURE 5 Share Of Global Affective Computing Market In 2018, By Country (In %)

Continued…….

About Market Research Future:

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In order to stay updated with technology and work process of the industry, MRFR often plans & conducts meet with the industry experts and industrial visits for its research analyst members

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