The global affective computing market exhibited strong growth during 2015-2020. Looking forward, the publisher expects the market to grow at a CAGR of around 35% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.
Also known as emotion AI, affective computing is a combination of cognitive science, psychology, and computer science that senses the non-verbal emotional signals of human beings. It analyzes the emotion of a person by using an analytics engine, big data, machine intelligence, and different sensors. It assists businesses in enhancing the overall user experience and selling products effectively. As a result, affective computing finds extensive application in autonomous and e-learning systems across the globe.
Affecting computing helps establish an interaction between a computer and a human being by detecting the stimuli of the user and responding accordingly. The technology relies on high-speed broadband connections to ensure real-time and effective communication between high-resolution dual cameras and the machine learning (ML) models that interpret human emotions. Therefore, the numerous benefits offered by affective computing represent one of the significant factors positively influencing its application in several end use industries around the world. Besides this, it can be employed for personalization, such as changing room temperature, music, and lighting as per the requirement of the user, which is contributing to the market growth. Furthermore, the rising adoption of AI in logistics, parking aid software, autonomous cars and surgical robots is bolstering the growth in the market. Apart from this, the growing deployment of robots, rising utilization of wearable devices, and increasing collaborations among market players are anticipated to catalyze the demand for affective computing across the world.
Also known as emotion AI, affective computing is a combination of cognitive science, psychology, and computer science that senses the non-verbal emotional signals of human beings. It analyzes the emotion of a person by using an analytics engine, big data, machine intelligence, and different sensors. It assists businesses in enhancing the overall user experience and selling products effectively. As a result, affective computing finds extensive application in autonomous and e-learning systems across the globe.
Affecting computing helps establish an interaction between a computer and a human being by detecting the stimuli of the user and responding accordingly. The technology relies on high-speed broadband connections to ensure real-time and effective communication between high-resolution dual cameras and the machine learning (ML) models that interpret human emotions. Therefore, the numerous benefits offered by affective computing represent one of the significant factors positively influencing its application in several end use industries around the world. Besides this, it can be employed for personalization, such as changing room temperature, music, and lighting as per the requirement of the user, which is contributing to the market growth. Furthermore, the rising adoption of AI in logistics, parking aid software, autonomous cars and surgical robots is bolstering the growth in the market. Apart from this, the growing deployment of robots, rising utilization of wearable devices, and increasing collaborations among market players are anticipated to catalyze the demand for affective computing across the world.
Key Market Segmentation:
The publisher provides an analysis of the key trends in each sub-segment of the global affective computing market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, technology, components and end use.Breakup by Technology:
- Touch-based
- Touchless
Breakup by Components:
- Hardware
- Sensors
- Cameras
- Storage Devices and Processors
- Others
- Software
- Analytics Software
- Enterprise Software
- Facial Recognition
- Gesture Recognition
- Speech Recognition
Breakup by End Use:
- Automotive
- BFSI
- Government
- Healthcare
- IT and Telecom
- Others
Breakup by Region:
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- Middle East and Africa
Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Affectiva Inc., Cipia Vision Ltd., Cognitec Systems GmbH, Elliptic Laboratories A/S, Google LLC (Alphabet Inc.), Intel Corporation, International Business Machines Corporation, Kairos AR Inc., Microsoft Corporation and Nuance Communications Inc.Key Questions Answered in This Report:
- How has the global affective computing market performed so far and how will it perform in the coming years?
- What has been the impact of COVID-19 on the global affective computing market?
- What are the key regional markets?
- What is the breakup of the market based on the technology?
- What is the breakup of the market based on the components?
- What is the breakup of the market based on the end use?
- What are the various stages in the value chain of the industry?
- What are the key driving factors and challenges in the industry?
- What is the structure of the global affective computing market and who are the key players?
- What is the degree of competition in the industry?
Table of Contents
1 Preface3 Executive Summary11 Value Chain Analysis13 Price Analysis
2 Scope and Methodology
4 Introduction
5 Global Affective Computing Market
6 Market Breakup by Technology
7 Market Breakup by Components
8 Market Breakup by End Use
9 Market Breakup by Region
10 SWOT Analysis
12 Porters Five Forces Analysis
14 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- Affectiva Inc.
- Cipia Vision Ltd.
- Cognitec Systems GmbH
- Elliptic Laboratories A/S
- Google LLC (Alphabet Inc.)
- Intel Corporation
- International Business Machines Corporation
- Kairos AR Inc.
- Microsoft Corporation
- Nuance Communications Inc.
Methodology
LOADING...
