| Product Code: ETC4397246 | Publication Date: Jul 2023 | Updated Date: Oct 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
Affective computing, which focuses on recognizing and responding to human emotions, is gaining ground in Thailand, particularly in applications related to customer experience and mental health. Affective computing technology is used to develop systems that can understand and adapt to human emotions, enabling more personalized and empathetic interactions. In sectors such as healthcare, customer service, and education, the Thailand Affective Computing market is expanding to enhance human-machine interactions and improve emotional well-being.
The Thailand Affective Computing market is experiencing significant growth, driven by the integration of technologies that enable systems to recognize, interpret, and respond to human emotions. Affective Computing solutions use techniques such as facial recognition and sentiment analysis to understand emotional states, enhancing human-computer interactions. The market growth is propelled by the increasing interest in human-centered technology, the desire for personalized user experiences, and the recognition of Affective Computing as a transformative technology in fields like customer service and healthcare. As Thailand industries aim to create emotionally intelligent systems, the Affective Computing market is poised to be a key enabler of empathetic and responsive human-machine interactions.
The Thailand Affective Computing market faces challenges in the form of limited awareness and understanding of affective computing technologies among businesses and end-users. Despite the potential benefits in enhancing user experiences and customer engagement, there is a need for comprehensive education and training programs to bridge the knowledge gap. Additionally, concerns related to data privacy and security pose hurdles to the widespread adoption of affective computing solutions, demanding regulatory frameworks to address these apprehensions effectively.
The Thailand Affective Computing market experienced notable advancements during the COVID-19 pandemic, reflecting the increased recognition of emotional intelligence in technology. With remote interactions becoming the norm, businesses explored affective computing solutions to understand user emotions and enhance engagement. Affective computing played a crucial role in applications such as virtual meetings, customer service, and educational technology. Post-pandemic, the Thailand Affective Computing market continues to grow as businesses integrate emotion-aware technologies to create more empathetic and responsive digital experiences.
Samart Corporation and CS Loxinfo Corporation are pivotal contributors to the Thailand Affective Computing market. These companies offer affective computing solutions that analyze and interpret human emotions through technologies like facial recognition and sentiment analysis. By enhancing human-computer interaction, these solutions find applications in areas such as customer service, healthcare, and education in Thailand.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand Affective Computing Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Affective Computing Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Affective Computing Market - Industry Life Cycle |
3.4 Thailand Affective Computing Market - Porter's Five Forces |
3.5 Thailand Affective Computing Market Revenues & Volume Share, By Technology , 2021 & 2031F |
3.6 Thailand Affective Computing Market Revenues & Volume Share, By Hardware , 2021 & 2031F |
3.7 Thailand Affective Computing Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 Thailand Affective Computing Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.9 Thailand Affective Computing Market Revenues & Volume Share, By Software, 2021 & 2031F |
4 Thailand Affective Computing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence and machine learning technologies in various industries |
4.2.2 Rising demand for personalized and interactive user experiences |
4.2.3 Growing awareness about mental health and emotional well-being leading to the need for affective computing solutions |
4.3 Market Restraints |
4.3.1 High initial investment and implementation costs |
4.3.2 Lack of skilled professionals in the field of affective computing |
4.3.3 Concerns over data privacy and security hindering adoption |
5 Thailand Affective Computing Market Trends |
6 Thailand Affective Computing Market, By Types |
6.1 Thailand Affective Computing Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Thailand Affective Computing Market Revenues & Volume, By Technology , 2021-2031F |
6.1.3 Thailand Affective Computing Market Revenues & Volume, By Touch-based , 2021-2031F |
6.1.4 Thailand Affective Computing Market Revenues & Volume, By Touchless, 2021-2031F |
6.2 Thailand Affective Computing Market, By Hardware |
6.2.1 Overview and Analysis |
6.2.2 Thailand Affective Computing Market Revenues & Volume, By Sensors, 2021-2031F |
6.2.3 Thailand Affective Computing Market Revenues & Volume, By Cameras, 2021-2031F |
6.2.4 Thailand Affective Computing Market Revenues & Volume, By Storage Devices and Processors, 2021-2031F |
6.2.5 Thailand Affective Computing Market Revenues & Volume, By Others, 2021-2031F |
6.3 Thailand Affective Computing Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 Thailand Affective Computing Market Revenues & Volume, By Software, 2021-2031F |
6.3.3 Thailand Affective Computing Market Revenues & Volume, By Hardware, 2021-2031F |
6.4 Thailand Affective Computing Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Thailand Affective Computing Market Revenues & Volume, By Academia and Research, 2021-2031F |
6.4.3 Thailand Affective Computing Market Revenues & Volume, By Media and Entertainment, 2021-2031F |
6.4.4 Thailand Affective Computing Market Revenues & Volume, By Government and Defense, 2021-2031F |
6.4.5 Thailand Affective Computing Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.6 Thailand Affective Computing Market Revenues & Volume, By IT and Telecom, 2021-2031F |
6.4.7 Thailand Affective Computing Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.8 Thailand Affective Computing Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.9 Thailand Affective Computing Market Revenues & Volume, By BFSI, 2021-2031F |
6.5 Thailand Affective Computing Market, By Software |
6.5.1 Overview and Analysis |
6.5.2 Thailand Affective Computing Market Revenues & Volume, By Speech Recognition, 2021-2031F |
6.5.3 Thailand Affective Computing Market Revenues & Volume, By Gesture Recognition, 2021-2031F |
6.5.4 Thailand Affective Computing Market Revenues & Volume, By Facial Feature Extraction, 2021-2031F |
6.5.5 Thailand Affective Computing Market Revenues & Volume, By Analytics Software, 2021-2031F |
6.5.6 Thailand Affective Computing Market Revenues & Volume, By Enterprise Software, 2021-2031F |
7 Thailand Affective Computing Market Import-Export Trade Statistics |
7.1 Thailand Affective Computing Market Export to Major Countries |
7.2 Thailand Affective Computing Market Imports from Major Countries |
8 Thailand Affective Computing Market Key Performance Indicators |
8.1 User engagement metrics such as time spent on interactive applications |
8.2 Sentiment analysis of user feedback to measure emotional responses |
8.3 Adoption rate of affective computing technologies in key industries |
8.4 Research and development investment in affective computing solutions |
8.5 Number of partnerships and collaborations within the affective computing ecosystem |
9 Thailand Affective Computing Market - Opportunity Assessment |
9.1 Thailand Affective Computing Market Opportunity Assessment, By Technology , 2021 & 2031F |
9.2 Thailand Affective Computing Market Opportunity Assessment, By Hardware , 2021 & 2031F |
9.3 Thailand Affective Computing Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 Thailand Affective Computing Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.5 Thailand Affective Computing Market Opportunity Assessment, By Software, 2021 & 2031F |
10 Thailand Affective Computing Market - Competitive Landscape |
10.1 Thailand Affective Computing Market Revenue Share, By Companies, 2024 |
10.2 Thailand Affective Computing Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
To discover high-growth global markets and optimize your business strategy:
Click Here