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Global Affective Computing Market

Published on: May 2020 | From USD $3950 | Published By: VERIFIED MARKET RESEARCH | Number Of Pages: 198

Affective Computing Market Size And Forecast
According to Verified Market Research, Global Affective Computing Market was valued at USD 16.09 Billion in 2018 and is projected to reach USD 141.20 Billion by 2026, growing at a CAGR of 31.2% from 2019 to 2026.
Global Affective Computing Market Outlook

Owing to technological development, the demand for advanced electronic devices, such as voice-activated biometrics, growing need to analyze customer behavior is the major factor fueling the growth of the market. In addition, the increasing utilization of the support tools in the field of medical services, software tools for the educational institutes, are some of the other drivers for the market growth. Furthermore, the rising internet penetration and adaption of the smart wearable devices imposing a positive outlook on the market. However, the huge initial investment with the deployment of affective computing and latency in the real-life application is restricting the market growth.

Global Affective Computing Market Competitive Landscape
The Global Affective Computing Market study report will provide a valuable insight with an emphasis on global market including some of the major players such as IBM Corporation, Qualcomm Incorporated, Google LLC, Microsoft Corporation, Apple Inc, Affectiva, Elliptic Labs, Eyesight Technologies, Sony Depthsensing Solutions, and Intel Corporation.

1 INTRODUCTION OF GLOBAL AFFECTIVE COMPUTING MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL AFFECTIVE COMPUTING MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL AFFECTIVE COMPUTING MARKET, BY VERTICAL
5.1 Overview
5.2 Media and Entertainment
5.3 IT and Telecom
5.4 Healthcare and Life Sciences
5.5 Government and Defense
5.6 Automotive
5.7 Academia and Research
5.8 Others

6 GLOBAL AFFECTIVE COMPUTING MARKET, BY COMPONENT
6.1 Overview
6.2 Hardware
6.2.1 Sensors
6.2.2 Cameras
6.2.3 Others
6.3 Software
6.3.1 Gesture Recognition
6.3.2 Facial Feature Extraction
6.3.3 Analytics Software
6.3.4 Others

7 GLOBAL AFFECTIVE COMPUTING MARKET, BY GEOGRAPHY
7.1 Overview
7.2 North America
7.2.1 U.S.
7.2.2 Canada
7.2.3 Mexico
7.3 Europe
7.3.1 Germany
7.3.2 U.K.
7.3.3 France
7.3.4 Rest of Europe
7.4 Asia Pacific
7.4.1 China
7.4.2 Japan
7.4.3 India
7.4.4 Rest of Asia Pacific
7.5 Rest of the World
7.5.1 Latin America
7.5.2 Middle East

8 GLOBAL AFFECTIVE COMPUTING MARKET COMPETITIVE LANDSCAPE
8.1 Overview
8.2 Company Market Ranking
8.3 Key Development Strategies

9 COMPANY PROFILES

9.1 IBM Corporation
9.1.1 Overview
9.1.2 Financial Performance
9.1.3 Product Outlook
9.1.4 Key Developments

9.2 Qualcomm Incorporated
9.2.1 Overview
9.2.2 Financial Performance
9.2.3 Product Outlook
9.2.4 Key Developments

9.3 Google LLC
9.3.1 Overview
9.3.2 Financial Performance
9.3.3 Product Outlook
9.3.4 Key Developments

9.4 Microsoft Corporation
9.4.1 Overview
9.4.2 Financial Performance
9.4.3 Product Outlook
9.4.4 Key Developments

9.5 Apple Inc.
9.5.1 Overview
9.5.2 Financial Performance
9.5.3 Product Outlook
9.5.4 Key Developments

9.6 Affectiva
9.6.1 Overview
9.6.2 Financial Performance
9.6.3 Product Outlook
9.6.4 Key Developments

9.7 Elliptic Labs
9.7.1 Overview
9.7.2 Financial Performance
9.7.3 Product Outlook
9.7.4 Key Developments

9.8 Eyesight Technologies
9.8.1 Overview
9.8.2 Financial Performance
9.8.3 Product Outlook
9.8.4 Key Developments

9.9 Sony Depthsensing Solutions
9.9.1 Overview
9.9.2 Financial Performance
9.9.3 Product Outlook
9.9.4 Key Developments

9.10 Intel Corporation
9.10.1 Overview
9.10.2 Financial Performance
9.10.3 Product Outlook
9.10.4 Key Developments

10 Appendix
10.1 Related Research

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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