Industrial AI Market in Thailand

Industrial AI in Thailand Trends and Forecast

The future of the industrial AI market in Thailand looks promising with opportunities in the glass manufacturing, semiconductor manufacturing, automotive, machinery, chemical, oil & gas, and packaging markets. The global industrial AI market is expected to grow with a CAGR of 30.4% from 2025 to 2031. The industrial AI market in Thailand is also forecasted to witness strong growth over the forecast period. The major drivers for this market are the increasing demand for automation and efficiency among industries, the growing use of sensors in industrial settings, and the rising adoption of Industry 4.0 technologies.

• Lucintel forecasts that, within the type category, the software segment is expected to witness higher growth over the forecast period.
• Within the application category, glass manufacturing is expected to witness the highest growth.

Emerging Trends in the Industrial AI Market in Thailand

Thailand is quickly embracing industrial AI to improve operational efficiency and competitiveness. With the country moving towards the 4.0 era, sectors like manufacturing, agriculture, and logistics are utilizing AI to drive automation, innovation, and sustainability. With increasing investments in digital technologies, Thailand is positioning itself as a key player in Southeast Asia’s industrial AI market. These trends demonstrate how AI is revolutionizing industries, boosting productivity, and addressing labor shortages and resource maximization challenges.

• AI-Powered Automation for Manufacturing: Thailand’s manufacturing industry is increasingly adopting AI-powered automation to enhance productivity. AI technologies such as robotics, machine learning, and computer vision are being used to automate routine tasks, improve accuracy, and reduce operational costs. This trend is especially evident in the automotive and electronics sectors, where Thailand holds a strong presence.
• AI for Predictive Maintenance: Predictive maintenance is gaining traction in Thailand’s industrial economy, particularly in manufacturing and energy sectors. Using AI-based sensors and data analytics, companies can predict equipment failures before they occur, reducing downtime and improving safety. This helps firms lower maintenance costs while ensuring smooth operations.
• AI in Farming for Precision Agriculture: AI is transforming farming in Thailand through precision farming methods. Farmers are utilizing AI technologies such as drones, automated tractors, and data analytics to increase crop yields, monitor soil health, and manage irrigation systems. This trend boosts yields while reducing resource usage, leading to more sustainable farming.
• AI for Intelligent Logistics and Supply Chain: Thailand’s logistics industry is embracing AI to streamline processes and enhance efficiency. AI-based solutions are being applied for route optimization, demand forecasting, inventory management, and real-time monitoring. This is helping companies reduce transportation costs, improve delivery speed, and respond better to changes in the market, particularly in e-commerce and retail sectors.
• AI for Energy Sustainability and Management: AI is being applied in Thailand’s energy sector to maximize energy use and promote sustainability. AI-powered smart grids are being used for energy management, demand prediction, and renewable energy integration. This aligns with Thailand’s energy efficiency and carbon emission reduction goals.

Emerging trends in Thailand’s industrial AI market, including AI-driven automation, predictive maintenance, precision farming, smart logistics, and energy management, are transforming industries across the country. These trends are improving operational efficiency, reducing costs, and promoting sustainability. As Thailand continues to integrate AI into its industrial landscape, these developments will position the country as a leader in AI-driven industrial transformation in Southeast Asia.

Recent Developments in the Industrial AI Market in Thailand

Thailand’s industrial AI sector has seen significant growth over the past few years, driven by technological innovation and the need for efficient operations. With the accelerated adoption of AI, sectors such as manufacturing, agriculture, logistics, and energy are using AI to boost productivity and reduce costs. These recent trends are laying the foundation for a more sustainable and competitive industrial environment in Thailand.

• Adoption of AI in Manufacturing Automation: The Thai manufacturing industry is investing heavily in AI-based automation technologies to increase productivity and reduce labor costs. Major players in the automotive and electronics sectors are incorporating AI-powered robots and machine vision systems into assembly lines, improving efficiency while reducing human error.
• Growth of AI-Based Predictive Maintenance: AI-based predictive maintenance has become a key technology in Thailand’s manufacturing industries. By using IoT sensors and AI algorithms, companies and utilities can predict machinery breakdowns and schedule maintenance proactively, minimizing downtime and operational losses. This is particularly important in sectors like oil and mining.
• AI for Sustainable Agriculture: Thailand is adopting AI-driven systems for precision agriculture. Using AI-enabled drones, sensors, and satellite imagery, farmers are increasing crop yields, reducing pesticide use, and improving resource management. This innovation is helping Thailand’s agriculture sector move toward more sustainable and data-driven practices.
• Supply Chain Optimization Through AI: AI is increasingly being used to optimize Thailand’s supply chain and logistics operations. AI is applied for route planning, inventory management, and real-time tracking of products. Online retailers in Thailand are benefiting significantly by lowering delivery costs and improving customer satisfaction with these AI-based solutions.
• Smart Grid Development in the Energy Industry: Thailand is investing in AI-powered smart grids to improve energy consumption and distribution. These smart grids use AI to predict energy demand, control power flow, and integrate renewable energy sources, improving energy efficiency and supporting the country’s sustainability goals.

Recent advancements in Thailand’s industrial AI market, such as AI-based manufacturing automation, predictive maintenance, sustainable agriculture, supply chain optimization, and intelligent grids, are transforming the industrial sector. These developments are improving efficiency, lowering costs, and fostering sustainability across various industries. As Thailand continues to invest in AI technologies, these advancements will solidify the nation’s position as a leading player in Southeast Asia’s industrial AI market.

Strategic Growth Opportunities for Industrial AI Market in Thailand

Thailand’s industrial AI market offers several growth opportunities in key applications. As industries increasingly adopt AI for efficiency, automation, and sustainability, new areas of development are opening up. These opportunities provide Thai companies with the chance to improve productivity, streamline operations, and remain competitive in an evolving digital economy.

• AI for Automation and Smart Manufacturing: Smart manufacturing through AI presents a significant growth opportunity for Thailand’s manufacturing industry. With AI technologies like robotics, computer vision, and machine learning, Thai manufacturers can improve production quality, reduce costs, and increase operational flexibility. This opportunity is especially relevant for the automotive and electronics sectors.
• AI in Agriculture for Precision Farming: Thailand’s agriculture sector offers a major growth opportunity through AI-driven precision farming. AI technologies such as drones, sensors, and machine learning help farmers maximize crop yields, reduce resource consumption, and increase operational efficiency. This opportunity is at the core of Thailand’s efforts to enhance food security and promote sustainable farming practices.
• AI for Supply Chain and Logistics Optimization: The logistics sector in Thailand holds substantial potential for AI-led growth. By implementing AI for real-time monitoring, demand forecasting, and inventory optimization, logistics companies can streamline operations, reduce costs, and improve service delivery. Thailand’s booming e-commerce sector further amplifies these growth opportunities.
• AI in Energy Management and Smart Grids: Thailand’s energy sector presents opportunities for growth through AI in energy management and smart grids. AI technologies can enhance energy distribution efficiency, predict demand, and integrate renewable energy sources. As Thailand aims to reduce carbon emissions and increase energy efficiency, AI will be crucial in achieving sustainability goals and enhancing grid reliability.
• AI in Healthcare and Industry 4.0: Thailand’s healthcare industry is ripe for AI implementation, with applications in diagnostics, patient care, and health administration. AI-powered tools can enhance diagnostic accuracy, streamline hospital operations, and improve patient outcomes. Additionally, Thailand’s shift toward Industry 4.0 opens up growth prospects for AI across manufacturing sectors to drive efficiency and innovation.

Strategic growth opportunities in Thailand’s industrial AI market, including AI in manufacturing, agriculture, supply chain optimization, energy management, and healthcare, are shaping the future of the industrial sector. These opportunities are driving innovation, improving productivity, and advancing sustainability. As AI adoption continues to gain momentum, Thailand’s industries are poised to lead AI-enabled transformation in Southeast Asia.

Industrial AI Market in Thailand Driver and Challenges

Thailand’s industrial AI market is driven by a combination of technological, economic, and regulatory factors. While adoption is driven by the need for operational efficiency, cost savings, and innovation, the market also faces significant challenges, including infrastructure gaps and talent shortages. Understanding these drivers and challenges is crucial for navigating the path to AI adoption and success in the industrial sector.

The factors responsible for driving the industrial AI market in Thailand include:
• Government Support for Digital Transformation: The Thai government is driving digital transformation through initiatives such as Thailand 4.0, which aims to support innovation and enhance AI adoption across various sectors. Government investments in AI research, development, and infrastructure are creating an environment conducive to AI adoption in the industrial sector.
• Economic Need for Efficiency and Competitiveness: Thailand’s industries must enhance operational efficiency, reduce costs, and stay competitive in the global market. AI technologies provide solutions to these challenges by automating operations, maximizing production, and improving decision-making, making AI a key driver of change in the industrial sector.
• Technological Advancements and AI Research: Ongoing advancements in AI technologies, including machine learning algorithms, data analytics, and automation platforms, are fueling growth in Thailand’s industrial AI market. Increased data availability and more powerful AI tools are enabling the application of AI solutions across a wide range of industries.
• Industry 4.0 and Industrial Digitalization: The move towards digitalization and the implementation of Industry 4.0 in Thailand is driving AI adoption in manufacturing, agriculture, and logistics. AI-powered automation, robotics, and analytics are becoming essential for industrial modernization, improving productivity across sectors.
• Green and Sustainability Goals: Thailand’s commitment to sustainability and reducing carbon emissions is a significant driver of AI adoption in industries like energy, agriculture, and manufacturing. AI technologies are being leveraged to optimize energy use, reduce waste, and ensure sustainable processes, aligning with Thailand’s environmental goals.

Challenges in the industrial AI market in Thailand are:
• Talent and Skills Shortage: Thailand faces a shortage of skilled AI professionals. The lack of AI talent is a barrier to the widespread adoption of AI solutions, hindering the development, deployment, and maintenance of AI systems. Educational and training initiatives are needed to bridge this skills gap.
• High Implementation Costs: The cost of implementing AI technologies can be prohibitive, especially for small and medium-sized enterprises (SMEs) in Thailand. High upfront costs for AI infrastructure, software, and expertise can limit AI adoption among smaller companies, restricting the widespread implementation of AI across industries.
• Data Privacy and Security Issues: As AI relies heavily on data, concerns about data privacy and security are crucial. Thailand’s regulatory framework must evolve to address these issues, ensuring that AI technologies comply with data protection laws, such as the Personal Data Protection Act (PDPA), while still allowing innovation.

The drivers of Thailand’s industrial AI market, such as government support, economic necessity, technological innovation, digitalization, and sustainability goals, are laying the groundwork for AI adoption. However, challenges like talent shortages, high implementation costs, and data privacy concerns need to be addressed for AI to reach its full potential in Thailand’s industrial sectors. Overcoming these challenges will enable Thailand to lead the industrial AI revolution in Southeast Asia.

List of Industrial AI Market in Thailand Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies, industrial ai companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the industrial ai companies profiled in this report include:
• Company 1
• Company 2
• Company 3
• Company 4
• Company 5
• Company 6

Industrial AI Market in Thailand by Segment

The study includes a forecast for the industrial AI market in Thailand by type and application.

Industrial AI Market in Thailand by Type [Analysis by Value from 2019 to 2031]:

• Software
• Hardware

Industrial AI Market in Thailand by Application [Analysis by Value from 2019 to 2031]:

• Glass Manufacturing
• Semiconductor Manufacturing
• Automotive
• Machinery
• Chemical
• Oil & Gas
• Packaging
• Others

Features of the Industrial AI Market in Thailand

Market Size Estimates: Industrial AI in Thailand market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends and forecasts by various segments.
Segmentation Analysis: Industrial AI in Thailand market size by type and application in terms of value ($B).
Growth Opportunities: Analysis of growth opportunities in different type and application for the industrial ai in Thailand.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the industrial ai in Thailand.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

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FAQ

Q1. What are the major drivers influencing the growth of the industrial AI market in Thailand?
Answer: The major drivers for this market are increasing demand for automation and efficiency among industries, growing use of sensors in industrial settings, and rising adoption of industry 4.0 technologies.
Q2. What are the major segments for industrial AI market in Thailand?
Answer: The future of the industrial AI market in Thailand looks promising with opportunities in the glass manufacturing, semiconductor manufacturing, automotive, machinery, chemical, oil & gas, and packaging markets.
Q3. Which industrial AI market in Thailand segment will be the largest in future?
Answer: Lucintel forecasts that software segment is expected to witness higher growth over the forecast period.
Q4. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 10 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the industrial AI market in Thailand by type (software and hardware), and application (glass manufacturing, semiconductor manufacturing, automotive, machinery, chemical, oil & gas, packaging, and others)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.4. What are the business risks and competitive threats in this market?
Q.5. What are the emerging trends in this market and the reasons behind them?
Q.6. What are some of the changing demands of customers in the market?
Q.7. What are the new developments in the market? Which companies are leading these developments?
Q.8. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.9. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.10. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Industrial AI Market in Thailand, Industrial AI Market in Thailand Size, Industrial AI Market in Thailand Growth, Industrial AI Market in Thailand Analysis, Industrial AI Market in Thailand Report, Industrial AI Market in Thailand Share, Industrial AI Market in Thailand Trends, Industrial AI Market in Thailand Forecast, Industrial AI Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.