Tuesday, March 14, 2017

Global Affective Computing Market Trends, Business strategy and Opportunities with Key Players Analysis 2021-Acute Market Reports

Affective computing is projected to find its application in area such as artificial intelligence where it can help in strengthening machine-human relationship. The demand for affective computing is expected to increase in forecasted period due to increasing adoption of wearable devices and internet. The Global Affective Computing market is expected to grow at impressive rates over the period of 2015-2021.
Factors that are driving the market are: Continuous research and development in body gesture, facial expression and blood pressure etc. Increasing tech savvy population and adoption of wearable devices and internet, arrival of large corporations in the market and the good processing speed of affective computing to record and analyze a human being response in real time are expected to result in the faster adoption of this technology in projected period. There are lot more factors driving the market such as applications in wide no of sectors such as government, healthcare etc. Due to the the increase in the use of internet also the use and demand of affective computing market is increasing people have started using it in to day to day life such as in hands free computing, distance education, internet banking etc. application of affective computing is also widely spread across fields such as security sector, medical sector, neurology, psychiatry, Dialog/automatic call centre environment and robotics. Although several factors such as the application of affective computing differs from business to business and also depends on the product or service, Privacy concerns; devices can recognize interpret, process, and simulate human, Privacy concerns; devices can recognize interpret, process and simulate human are restraining factors for the growth of the market.
The market of affective computing is segmented by industrial sector, industrial application, and technological application and by application area. Geographically the market is segmented into North America (US, Canada), Europe (UK, Italy, Spain, France, Germany, RoE), Asia-Pacific (India, Japan, Australia, China, Korea, RoAPAC) and Rest of World (Latin America, MENA and Africa). The key providers of affective computing in the market include: Intel Corporation, Gestsure, Apple Inc, Qualcomm Inc, Microsoft Corporation, Texas Advanced Computing Center (TACC),Tacc (The Affective Computing Company) and IBM.
Companies profiled include
1 Tacc (The Affective Computing Company)
2 Intel Corporation
3 Gestsure
4 Apple, Inc
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5 Vicon
6 Texas Advanced Computing Center (TACC)
7 Softkinetic
8 Saffron Technology
9 Qualcomm
10 Pyreos Limited
11 Palantir
12 Numenta
13 Microsoft
14 IBM
15 Gesturek
16 Eyesight Technologies
17 Emotient
18 Elliptic labs
19 Congnivue corporation
20 Cognitec systems
21 Affectiva
This Occams Research Report covers
1. Historical data
2. Revenue forecasts, growth rates and CAGR upto 2021
3. Industry Analysis
4. Competitive Analysis
5. Key geographic growth data
6. In-depth profiling of companies
1. Introduction
1.1 Executive Summary
1.2 Estimation methodology
2. Market overview
2.1 Market definition
2.2 Market Scope
2.3 Key findings
2.3.1 Parametric analysis Adoption rate
3. Key market insights
3.1 Innovation Scenario
3.2 Dominant market segments
3.3 Future research directions
4. Competitive intelligence
4.1 Market share analysis
4.2 Key winning analysis
4.3 Case study; Top competitor’s move
4.4 Key research criteria
4.5 Key applications
5. Sector analysis
5.1 Parent market analysis
5.2 Competitor market analysis
5.3 Alternative market analysis
6. Market determinants
6.1 Market drivers
6.1.1 Emerging trend of wearable devices
6.1.2 Continuous research and development taking place in body gesture, facial expression blood pressure etc.
6.1.3 Applications in wide no of sectors such as government, healthcare etc
6.1.4 Increasing Tech savvy population
6.2 Market Restraints
6.2.1 Privacy concerns; devices can recognize interpret, process, and simulate human affects
6.2.2 Risk of misuse of the technology; Computers start to make emotionally distorted, harmful decision
6.2.3 Complex technology
6.3 Market opportunities
6.3.1 Research in multimodal detection and recognition to achieve higher accuracy
6.3.2 Collaboration among affection researchers from different disciplines
6.4 Market challenges
6.4.1 Risk of false interpretation
6.4.2 False or misleading emotions can lead to false results
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