Global Affective Computing Market to grow at a CAGR of +33% during forecast period 2017-2022 with top key players - Google Inc, IBM Corporation, Microsoft Corporation, Saffron Technology and others

Pune, India -- (SBWire) -- 01/30/2018 --The research study for the global affective computing market encompasses the analysis of the market on the basis of software, which is further segmented into speech recognition, gesture recognition, facial feature extraction, analytics software, and enterprise software. The deployment of facial feature extraction software is mainly driven by the increasing demand expression recognition technique, used by various end-use sectors, especially, healthcare & life sciences and media & entertainment.

Analysis tools such as Porter's five forces analysis and SWOT analysis have also been utilized for analyzing the market data. The major strategies adopted by the already established players for a better penetration in the global Affective Computing market also form a key section of this study. This market report offers a comprehensive analysis of the global Affective Computing market. Furthermore, each section in this report includes expert insights that will help to address the problem areas experienced in supply chain issues. To make the report easy to understand, the study features graphics, charts, and infographics.

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Key Players:
Google Inc, IBM Corporation, Microsoft Corporation, Saffron Technology, Softkinteic System S.A, Affectiva, Elliptic Labs

The increasing need for this product and the growing acceptance of its concept are likely to fuel the demand for Affective Computing market across the world in the near future. The faster deployment of these industry and the scalability and flexibility they offer are expected to add to their popularity over the forecast period are clearly mentioned.

In particular, the report focuses on the competitive landscape of the Affective Computing industry and dwells on the influential development policies and plans that will determine the market's trajectory in the forecast period. An analysis of the major players operating in the Affective Computing market is included in the report, segmenting and describing them on the parameters of manufacturing processes and business strategies, information related to product classification, and profit margins regarding the same. The cost dynamics of the Affective Computing market are also examined in detail and, associated to the comprehensive breakdown of the market's competitive landscape, provide a complete indulgent of pricing dynamics in the Affective Computing industry for the readers to understand clearly.

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This report presents a 360-degree overview of the competitive scenario of the Global Affective Computing market. The report includes massive data relating to the recent product and technological developments observed in the market, complete with an analysis of the impact of these advancements on the market's future development. The research report analyzes the global Affective Computing market in a detailed manner by explaining the key aspects of the market that are expected to have a quantifiable influence on its developmental prospects over the forecast period.

The analytical tools such as investment return and feasibility analyses have also been employed in this research to determine the market attractiveness. The report evaluates the products available in the market on the basis of the production volume, their pricing structure, and the revenue generated by them. Production chain and the dynamics of demand and supply has also been assessed in this report. The research report also an Affective Computing market in order to provide an overall picture of the competitive landscape in the industry and assist the participants to come up with market winning strategies to gain an edge over their peers.

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