Global Affective Computing Industry

Global Affective Computing Industry

  • September 2020 •
  • 317 pages •
  • Report ID: 5797799 •
  • Format: PDF
The global market for Affective Computing is projected to reach US$131 billion by 2025, driven by growing awareness over the real importance of emotion in advancing the capability of artificial intelligence (AI) technology. Given that human decision making processes is a complex combination of cognitive functions and emotional, also known as affective functions, machines will need to understand and respond to human emotions in order to function effectively, efficiently and safely alongside humans. Emotional intelligence is therefore the next logical step in the evolution of AI based machines in order to help humans fully realize the many benefits of the technology. Few the factors which indicate affective computing as ripe for commercial growth include rapid proliferation of AI and the continuous quest for emotionally responsive AI for a more natural interaction between humans and machines; need for emotion-detection and emotion intelligence becomes more important than ever as AI robots and assistants take over more and more of human functions in education, industry, healthcare, and day to day living.

As robots become more autonomous, spontaneous decision making becomes a very important and vital capability. The role of emotions in decision making is therefore gaining increasing prominence since lack of emotion can impair the decision-making process and seriously compromise the quality of decisions. Consciousness, self-awareness, emotional intelligence, empathy and compassion which are unique qualities of humans are also important requirements for AI machines. Against the backdrop of this need, rising over the horizon is affective computing, a branch of cognitive computing that helps machines recognize, interpret, process and simulate emotions. With emotions being increasingly analyzed and tapped for machine use, emotion economy is an emerging market opportunity where affective computing will play a key role in bridging cognitive and emotional gap between computers and humans. A key trend in the market is the rapid transition of affective computing from unimodal to multimodal approaches with multi-sensor data fusion showing immense potential for increasing accuracy and reliability. New algorithms and software are being developed to assess mood through interaction and conversation. Rise of affective analytics is helping enhance deep learning algorithms to build artificial emotional intelligence based on computation of emotions via facial expressions, emojis, and appearance using a metric system.

The emerging era of emotionally-aware computing will witness robust opportunities emerge from marketing, healthcare and customer services. Affective computing in the defense and military sector can help prevent battle UAVs from accidently harming civilians; in the healthcare sector robot caregivers can show compassion to patients; in the retail sector where purchase decisions are guided by emotions AI assistants can interpret the emotional state of consumers and help retailers adapt their merchandises to suite the mood of the shopper; in the government sector it creates new possibilities in geo-politics of the 21st century such as AI diplomats which can predict an opponents emotion and tactics and accordingly shape complex negotiations in international affairs. The United States and Europe represent large markets worldwide with a combined share of 60.4%. China ranks as the fastest growing market with a 40.4% CAGR over the analysis period supported by the countrys herculean efforts to challenge the world and especially the U.S in the AI race. The National Development and Reform Commission (NDRC) remains committed to encourage R&D in AI and machine learning. Giants such as Baidu, Alibaba, Tencent, and Huawei are actively involved and committed to AI R&D. Against this backdrop, as AI ecosystems evolve and proliferate, enabling hardware and software like affective computing will witness robust growth in the country.