| Product Code: ETC4397786 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
Artificial Neural Networks (ANNs) are a subset of artificial intelligence that simulates the functioning of the human brain to process and analyze data. In Thailand, ANNs find applications in fields like image and speech recognition, natural language processing, and predictive modeling. As the country continues to embrace AI technologies, the Thailand Artificial Neural Network market is growing, with businesses and researchers leveraging ANNs for various applications.
The Thailand Artificial Neural Network market is witnessing significant growth, driven by the adoption of neural network-based algorithms that mimic the human brain ability to learn and adapt. Artificial Neural Networks are a key component of machine learning and deep learning, powering applications in areas like image recognition, speech processing, and predictive analytics. The market growth is propelled by the increasing recognition of neural networks as powerful tools for complex pattern recognition, the desire for advanced machine learning capabilities, and the application of Artificial Neural Networks across diverse industries. As Thailand businesses embrace the potential of neural network technologies, the Artificial Neural Network market is poised to be a crucial enabler of sophisticated and adaptive computing applications.
Challenges in the Thailand Artificial Neural Network Market include the interpretability of neural network models. Understanding the decision-making processes of complex neural networks is crucial, especially in industries where transparency is paramount. Additionally, addressing issues related to bias and ethical considerations remains a significant challenge.
The Artificial Neural Network market in Thailand witnessed dynamic expansion during the COVID-19 pandemic, as organizations embraced advanced neural network models for complex pattern recognition and decision-making tasks. With the increased interest in mimicking human brain functions for machine learning, the demand for artificial neural network solutions surged. The market responded by providing tools that simulate neural networks, enabling organizations to solve intricate problems and improve the accuracy of machine learning models. In the era of advanced machine learning, the Artificial Neural Network market in Thailand continues to be a key facilitator, supporting organizations in solving complex challenges through neural network-based approaches.
AIS and True Corporation play a crucial role in the Thailand Artificial Neural Network market. These companies contribute by offering artificial neural network solutions that mimic the human brain ability to process information. By leveraging neural network algorithms, these solutions find applications in pattern recognition, image analysis, and other complex tasks, enhancing capabilities across various industries 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 Artificial Neural Network Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Artificial Neural Network Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Artificial Neural Network Market - Industry Life Cycle |
3.4 Thailand Artificial Neural Network Market - Porter's Five Forces |
3.5 Thailand Artificial Neural Network Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.6 Thailand Artificial Neural Network Market Revenues & Volume Share, By Applications , 2021 & 2031F |
3.7 Thailand Artificial Neural Network Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.8 Thailand Artificial Neural Network Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Thailand Artificial Neural Network Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence technologies in various industries in Thailand |
4.2.2 Growing demand for advanced data analytics solutions |
4.2.3 Government initiatives and investments to promote digital transformation and innovation |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in artificial neural network technology |
4.3.2 High initial investment and implementation costs |
4.3.3 Concerns regarding data privacy and security regulations |
5 Thailand Artificial Neural Network Market Trends |
6 Thailand Artificial Neural Network Market, By Types |
6.1 Thailand Artificial Neural Network Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Thailand Artificial Neural Network Market Revenues & Volume, By Component , 2021-2031F |
6.1.3 Thailand Artificial Neural Network Market Revenues & Volume, By Solutions , 2021-2031F |
6.1.4 Thailand Artificial Neural Network Market Revenues & Volume, By Services, 2021-2031F |
6.2 Thailand Artificial Neural Network Market, By Applications |
6.2.1 Overview and Analysis |
6.2.2 Thailand Artificial Neural Network Market Revenues & Volume, By Image Recognition, 2021-2031F |
6.2.3 Thailand Artificial Neural Network Market Revenues & Volume, By Signal Recognition, 2021-2031F |
6.2.4 Thailand Artificial Neural Network Market Revenues & Volume, By Data Mining, 2021-2031F |
6.2.5 Thailand Artificial Neural Network Market Revenues & Volume, By Others, 2021-2031F |
6.3 Thailand Artificial Neural Network Market, By Deployment Mode |
6.3.1 Overview and Analysis |
6.3.2 Thailand Artificial Neural Network Market Revenues & Volume, By On-premises, 2021-2031F |
6.3.3 Thailand Artificial Neural Network Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Thailand Artificial Neural Network Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Thailand Artificial Neural Network Market Revenues & Volume, By Banking, Financial Services, and Insurance (BFSI), 2021-2031F |
6.4.3 Thailand Artificial Neural Network Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.4 Thailand Artificial Neural Network Market Revenues & Volume, By Telecommunication and Information Technology (IT), 2021-2031F |
6.4.5 Thailand Artificial Neural Network Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.6 Thailand Artificial Neural Network Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.4.7 Thailand Artificial Neural Network Market Revenues & Volume, By Government and Defense, 2021-2031F |
6.4.8 Thailand Artificial Neural Network Market Revenues & Volume, By Others, 2021-2031F |
6.4.9 Thailand Artificial Neural Network Market Revenues & Volume, By Others, 2021-2031F |
7 Thailand Artificial Neural Network Market Import-Export Trade Statistics |
7.1 Thailand Artificial Neural Network Market Export to Major Countries |
7.2 Thailand Artificial Neural Network Market Imports from Major Countries |
8 Thailand Artificial Neural Network Market Key Performance Indicators |
8.1 Number of new artificial neural network technology startups in Thailand |
8.2 Percentage increase in the adoption of artificial neural network solutions across industries |
8.3 Rate of growth in research and development activities in artificial neural network technology in Thailand |
9 Thailand Artificial Neural Network Market - Opportunity Assessment |
9.1 Thailand Artificial Neural Network Market Opportunity Assessment, By Component , 2021 & 2031F |
9.2 Thailand Artificial Neural Network Market Opportunity Assessment, By Applications , 2021 & 2031F |
9.3 Thailand Artificial Neural Network Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.4 Thailand Artificial Neural Network Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 Thailand Artificial Neural Network Market - Competitive Landscape |
10.1 Thailand Artificial Neural Network Market Revenue Share, By Companies, 2024 |
10.2 Thailand Artificial Neural Network Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |