Thailand Application of AI in Agriculture Market
Description
Thailand Application of AI in Agriculture Market Overview
The Thailand Application of AI in Agriculture Market is valued at USD 80 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of advanced technologies in farming practices, aimed at enhancing productivity and sustainability. The integration of AI solutions in agriculture has been propelled by the need for efficient resource management and improved crop yields, addressing the challenges posed by climate change, labor shortages, and population growth .
Key regions in this market include Bangkok, Chiang Mai, and Nakhon Ratchasima, which are prominent due to their strategic agricultural landscapes and access to technology hubs. These areas are pivotal in fostering innovation and collaboration between agricultural stakeholders and tech companies, facilitating the development and deployment of AI-driven solutions tailored to local farming needs .
The Thai government has advanced the adoption of AI technologies in farming through the Bio-Circular-Green (BCG) Economic Model and initiatives such as the AGROWTH platform, launched by the National Innovation Agency (NIA) in 2024. These programs provide financial incentives and support for integrating AI tools into agricultural operations, aiming to enhance productivity, sustainability, and food security. The BCG Economic Model, issued by the Ministry of Higher Education, Science, Research and Innovation in 2021, sets operational guidelines for smart agriculture, including compliance requirements for technology adoption and innovation grants .
Thailand Application of AI in Agriculture Market Segmentation
By Type:
The market is segmented into various types of AI applications in agriculture, including Precision Farming Solutions, Crop Monitoring & Analytics Platforms, Soil Health & Nutrient Management Tools, Pest and Disease Detection Systems, Automated Irrigation & Water Management Systems, Livestock Monitoring & Management Solutions, Supply Chain & Post-Harvest Optimization, and Others. Among these, Precision Farming Solutions are leading due to their ability to optimize resource use and increase crop yields through data-driven decision-making .
By End-User:
The end-user segmentation includes Farms (Commercial & Smallholder), Agri-businesses & Cooperatives, Government & Public Sector, Research & Academic Institutions, Agri-tech Startups, and Others. The segment of Farms (Commercial & Smallholder) is currently dominating the market, as these users are increasingly adopting AI technologies to enhance productivity and manage resources more effectively .
Thailand Application of AI in Agriculture Market Competitive Landscape
The Thailand Application of AI in Agriculture Market is characterized by a dynamic mix of regional and international players. Leading participants such as Ricult (Thailand) Co., Ltd., AI and Robotics Ventures Co., Ltd. (ARV), Sertis Co., Ltd., FarmInno (Thailand) Co., Ltd., Kaset Inno Co., Ltd., Kubota Corporation (Thailand), Siam Kubota Corporation Co., Ltd., Precision Agriculture Co., Ltd., Agritech Startup Co., Ltd. (AGROWTH Platform), Charoen Pokphand Group (CP Group) AgriTech Division, Erawan AI Co., Ltd., FarmTech Solutions (Thailand) Co., Ltd., Thai Rung Ruang Group Smart Farming, Betagro Group Digital Agriculture, InnoSpace (Thailand) Co., Ltd. contribute to innovation, geographic expansion, and service delivery in this space.
Ricult (Thailand) Co., Ltd.
2016
Bangkok, Thailand
AI and Robotics Ventures Co., Ltd. (ARV)
2017
Bangkok, Thailand
Sertis Co., Ltd.
2014
Bangkok, Thailand
FarmInno (Thailand) Co., Ltd.
2018
Bangkok, Thailand
Kaset Inno Co., Ltd.
2015
Bangkok, Thailand
Company
Establishment Year
Headquarters
Company Size (Large, Medium, Small)
Annual Revenue from AI in Agriculture (USD)
Market Penetration (Number of Deployments/Clients in Thailand)
Year-on-Year Revenue Growth (%)
R&D Expenditure as % of Revenue
Product Portfolio Breadth (Number of AI Solutions Offered)
Thailand Application of AI in Agriculture Market Industry Analysis
Growth Drivers
Increasing Demand for Food Security:
Thailand's population is projected to reach approximately 66 million by 2024, intensifying the need for sustainable food production. The World Bank estimates that food demand will increase by 50% globally in future. In response, Thailand's agricultural sector is focusing on AI technologies to enhance crop yields and ensure food security, with the government aiming for a 20% increase in agricultural productivity in future through innovative practices.
Adoption of Precision Farming Techniques:
The Thai government has allocated around THB 1.5 billion (approximately USD 45 million) for the promotion of precision agriculture technologies in future. This investment aims to improve resource efficiency and crop management. Precision farming, which utilizes AI for data analysis, is expected to increase yields by 10-20% while reducing water usage by up to 30%, addressing both productivity and sustainability challenges in the sector.
Government Initiatives Promoting AI in Agriculture:
The Thai government has launched the "Digital Thailand" initiative, with a budget of THB 3 billion (around USD 90 million) for future, aimed at integrating AI into agriculture. This initiative includes training programs for farmers and subsidies for AI technology adoption. By 2025, the government targets a 25% increase in the use of AI technologies in farming, fostering innovation and enhancing competitiveness in the agricultural sector.
Market Challenges
High Initial Investment Costs:
The adoption of AI technologies in agriculture requires significant upfront investments, estimated at around THB 2 million (approximately USD 60,000) per farm for necessary equipment and software. Many smallholder farmers, who constitute about 70% of Thailand's agricultural workforce, struggle to afford these costs. This financial barrier limits the widespread implementation of AI solutions, hindering overall market growth and technological advancement in the sector.
Lack of Skilled Workforce:
A report from the Ministry of Agriculture and Cooperatives indicates that only 15% of Thai farmers possess the necessary skills to operate AI technologies effectively. This skills gap poses a significant challenge to the successful implementation of AI in agriculture. The government aims to train 100,000 farmers in future, but the current shortage of qualified trainers and educational resources remains a critical obstacle to achieving this goal.
Thailand Application of AI in Agriculture Market Future Outlook
The future of AI in Thailand's agriculture sector appears promising, driven by technological advancements and increasing government support. By 2024, the integration of AI with IoT is expected to enhance real-time data collection and analysis, improving decision-making processes for farmers. Additionally, the rise of urban agriculture and vertical farming is anticipated to reshape traditional farming practices, promoting sustainability and resource efficiency. As these trends evolve, the agricultural landscape in Thailand will likely become more innovative and resilient.
Market Opportunities
Expansion of Smart Farming Technologies:
The market for smart farming technologies is projected to grow significantly, with investments expected to reach THB 5 billion (approximately USD 150 million) in future. This growth presents opportunities for companies to develop AI-driven solutions that enhance productivity and sustainability, catering to the increasing demand for efficient agricultural practices.
Collaborations with Tech Startups:
Collaborations between agricultural firms and tech startups are on the rise, with over 50 partnerships formed in future alone. These collaborations aim to leverage innovative AI solutions to address specific agricultural challenges, creating a dynamic ecosystem that fosters innovation and accelerates the adoption of advanced technologies in the sector.
Please Note: It will take 5-7 business days to complete the report upon order confirmation.
The Thailand Application of AI in Agriculture Market is valued at USD 80 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of advanced technologies in farming practices, aimed at enhancing productivity and sustainability. The integration of AI solutions in agriculture has been propelled by the need for efficient resource management and improved crop yields, addressing the challenges posed by climate change, labor shortages, and population growth .
Key regions in this market include Bangkok, Chiang Mai, and Nakhon Ratchasima, which are prominent due to their strategic agricultural landscapes and access to technology hubs. These areas are pivotal in fostering innovation and collaboration between agricultural stakeholders and tech companies, facilitating the development and deployment of AI-driven solutions tailored to local farming needs .
The Thai government has advanced the adoption of AI technologies in farming through the Bio-Circular-Green (BCG) Economic Model and initiatives such as the AGROWTH platform, launched by the National Innovation Agency (NIA) in 2024. These programs provide financial incentives and support for integrating AI tools into agricultural operations, aiming to enhance productivity, sustainability, and food security. The BCG Economic Model, issued by the Ministry of Higher Education, Science, Research and Innovation in 2021, sets operational guidelines for smart agriculture, including compliance requirements for technology adoption and innovation grants .
Thailand Application of AI in Agriculture Market Segmentation
By Type:
The market is segmented into various types of AI applications in agriculture, including Precision Farming Solutions, Crop Monitoring & Analytics Platforms, Soil Health & Nutrient Management Tools, Pest and Disease Detection Systems, Automated Irrigation & Water Management Systems, Livestock Monitoring & Management Solutions, Supply Chain & Post-Harvest Optimization, and Others. Among these, Precision Farming Solutions are leading due to their ability to optimize resource use and increase crop yields through data-driven decision-making .
By End-User:
The end-user segmentation includes Farms (Commercial & Smallholder), Agri-businesses & Cooperatives, Government & Public Sector, Research & Academic Institutions, Agri-tech Startups, and Others. The segment of Farms (Commercial & Smallholder) is currently dominating the market, as these users are increasingly adopting AI technologies to enhance productivity and manage resources more effectively .
Thailand Application of AI in Agriculture Market Competitive Landscape
The Thailand Application of AI in Agriculture Market is characterized by a dynamic mix of regional and international players. Leading participants such as Ricult (Thailand) Co., Ltd., AI and Robotics Ventures Co., Ltd. (ARV), Sertis Co., Ltd., FarmInno (Thailand) Co., Ltd., Kaset Inno Co., Ltd., Kubota Corporation (Thailand), Siam Kubota Corporation Co., Ltd., Precision Agriculture Co., Ltd., Agritech Startup Co., Ltd. (AGROWTH Platform), Charoen Pokphand Group (CP Group) AgriTech Division, Erawan AI Co., Ltd., FarmTech Solutions (Thailand) Co., Ltd., Thai Rung Ruang Group Smart Farming, Betagro Group Digital Agriculture, InnoSpace (Thailand) Co., Ltd. contribute to innovation, geographic expansion, and service delivery in this space.
Ricult (Thailand) Co., Ltd.
2016
Bangkok, Thailand
AI and Robotics Ventures Co., Ltd. (ARV)
2017
Bangkok, Thailand
Sertis Co., Ltd.
2014
Bangkok, Thailand
FarmInno (Thailand) Co., Ltd.
2018
Bangkok, Thailand
Kaset Inno Co., Ltd.
2015
Bangkok, Thailand
Company
Establishment Year
Headquarters
Company Size (Large, Medium, Small)
Annual Revenue from AI in Agriculture (USD)
Market Penetration (Number of Deployments/Clients in Thailand)
Year-on-Year Revenue Growth (%)
R&D Expenditure as % of Revenue
Product Portfolio Breadth (Number of AI Solutions Offered)
Thailand Application of AI in Agriculture Market Industry Analysis
Growth Drivers
Increasing Demand for Food Security:
Thailand's population is projected to reach approximately 66 million by 2024, intensifying the need for sustainable food production. The World Bank estimates that food demand will increase by 50% globally in future. In response, Thailand's agricultural sector is focusing on AI technologies to enhance crop yields and ensure food security, with the government aiming for a 20% increase in agricultural productivity in future through innovative practices.
Adoption of Precision Farming Techniques:
The Thai government has allocated around THB 1.5 billion (approximately USD 45 million) for the promotion of precision agriculture technologies in future. This investment aims to improve resource efficiency and crop management. Precision farming, which utilizes AI for data analysis, is expected to increase yields by 10-20% while reducing water usage by up to 30%, addressing both productivity and sustainability challenges in the sector.
Government Initiatives Promoting AI in Agriculture:
The Thai government has launched the "Digital Thailand" initiative, with a budget of THB 3 billion (around USD 90 million) for future, aimed at integrating AI into agriculture. This initiative includes training programs for farmers and subsidies for AI technology adoption. By 2025, the government targets a 25% increase in the use of AI technologies in farming, fostering innovation and enhancing competitiveness in the agricultural sector.
Market Challenges
High Initial Investment Costs:
The adoption of AI technologies in agriculture requires significant upfront investments, estimated at around THB 2 million (approximately USD 60,000) per farm for necessary equipment and software. Many smallholder farmers, who constitute about 70% of Thailand's agricultural workforce, struggle to afford these costs. This financial barrier limits the widespread implementation of AI solutions, hindering overall market growth and technological advancement in the sector.
Lack of Skilled Workforce:
A report from the Ministry of Agriculture and Cooperatives indicates that only 15% of Thai farmers possess the necessary skills to operate AI technologies effectively. This skills gap poses a significant challenge to the successful implementation of AI in agriculture. The government aims to train 100,000 farmers in future, but the current shortage of qualified trainers and educational resources remains a critical obstacle to achieving this goal.
Thailand Application of AI in Agriculture Market Future Outlook
The future of AI in Thailand's agriculture sector appears promising, driven by technological advancements and increasing government support. By 2024, the integration of AI with IoT is expected to enhance real-time data collection and analysis, improving decision-making processes for farmers. Additionally, the rise of urban agriculture and vertical farming is anticipated to reshape traditional farming practices, promoting sustainability and resource efficiency. As these trends evolve, the agricultural landscape in Thailand will likely become more innovative and resilient.
Market Opportunities
Expansion of Smart Farming Technologies:
The market for smart farming technologies is projected to grow significantly, with investments expected to reach THB 5 billion (approximately USD 150 million) in future. This growth presents opportunities for companies to develop AI-driven solutions that enhance productivity and sustainability, catering to the increasing demand for efficient agricultural practices.
Collaborations with Tech Startups:
Collaborations between agricultural firms and tech startups are on the rise, with over 50 partnerships formed in future alone. These collaborations aim to leverage innovative AI solutions to address specific agricultural challenges, creating a dynamic ecosystem that fosters innovation and accelerates the adoption of advanced technologies in the sector.
Please Note: It will take 5-7 business days to complete the report upon order confirmation.
Table of Contents
91 Pages
- 1. Thailand Application of AI in Agriculture Market Overview
- 1.1. Definition and Scope
- 1.2. Market Taxonomy
- 1.3. Market Growth Rate
- 1.4. Market Segmentation Overview
- 2. Thailand Application of AI in Agriculture Market Size (in USD Bn), 2019–2024
- 2.1. Historical Market Size
- 2.2. Year-on-Year Growth Analysis
- 2.3. Key Market Developments and Milestones
- 3. Thailand Application of AI in Agriculture Market Analysis
- 3.1. Growth Drivers
- 3.1.1. Increasing demand for food security
- 3.1.2. Adoption of precision farming techniques
- 3.1.3. Government initiatives promoting AI in agriculture
- 3.1.4. Rising labor costs and need for automation
- 3.2. Restraints
- 3.2.1. High initial investment costs
- 3.2.2. Lack of skilled workforce
- 3.2.3. Data privacy and security concerns
- 3.2.4. Resistance to change among traditional farmers
- 3.3. Opportunities
- 3.3.1. Expansion of smart farming technologies
- 3.3.2. Collaborations with tech startups
- 3.3.3. Development of AI-driven supply chain solutions
- 3.3.4. Increasing investment in agri-tech innovations
- 3.4. Trends
- 3.4.1. Integration of IoT with AI in agriculture
- 3.4.2. Growth of data analytics for crop management
- 3.4.3. Rise of vertical farming and urban agriculture
- 3.4.4. Focus on sustainable agricultural practices
- 3.5. Government Regulation
- 3.5.1. Policies supporting digital agriculture
- 3.5.2. Regulations on data usage in agriculture
- 3.5.3. Standards for AI technology in farming
- 3.5.4. Incentives for adopting smart farming solutions
- 3.6. SWOT Analysis
- 3.7. Stakeholder Ecosystem
- 3.8. Competition Ecosystem
- 4. Thailand Application of AI in Agriculture Market Segmentation, 2024
- 4.1. By Type (in Value %)
- 4.1.1. Precision Farming Solutions
- 4.1.2. Crop Monitoring & Analytics Platforms
- 4.1.3. Soil Health & Nutrient Management Tools
- 4.1.4. Pest and Disease Detection Systems
- 4.1.5. Others
- 4.2. By End-User (in Value %)
- 4.2.1. Farms (Commercial & Smallholder)
- 4.2.2. Agri-businesses & Cooperatives
- 4.2.3. Government & Public Sector
- 4.2.4. Research & Academic Institutions
- 4.2.5. Others
- 4.3. By Application (in Value %)
- 4.3.1. Precision Farming
- 4.3.2. Crop Management
- 4.3.3. Livestock Monitoring
- 4.3.4. Supply Chain Optimization
- 4.3.5. Others
- 4.4. By Distribution Channel (in Value %)
- 4.4.1. Direct Sales
- 4.4.2. Online Platforms
- 4.4.3. Distributors & Dealers
- 4.4.4. Retail Outlets
- 4.4.5. Others
- 4.5. By Investment Source (in Value %)
- 4.5.1. Private Investments
- 4.5.2. Government Funding
- 4.5.3. International Aid & Development Agencies
- 4.5.4. Public-Private Partnerships
- 4.5.5. Others
- 4.6. By Policy Support (in Value %)
- 4.6.1. Subsidies for AI Adoption
- 4.6.2. Tax Incentives
- 4.6.3. Grants for Research and Development
- 4.6.4. Training & Capacity Building Programs
- 4.6.5. Others
- 5. Thailand Application of AI in Agriculture Market Cross Comparison
- 5.1. Detailed Profiles of Major Companies
- 5.1.1. Ricult (Thailand) Co., Ltd.
- 5.1.2. AI and Robotics Ventures Co., Ltd. (ARV)
- 5.1.3. Sertis Co., Ltd.
- 5.1.4. FarmInno (Thailand) Co., Ltd.
- 5.1.5. Kaset Inno Co., Ltd.
- 5.2. Cross Comparison Parameters
- 5.2.1. Company Size (Large, Medium, Small)
- 5.2.2. Annual Revenue from AI in Agriculture (USD)
- 5.2.3. Market Penetration (Number of Deployments/Clients in Thailand)
- 5.2.4. Year-on-Year Revenue Growth (%)
- 5.2.5. R&D Expenditure as % of Revenue
- 6. Thailand Application of AI in Agriculture Market Regulatory Framework
- 6.1. Compliance Requirements and Audits
- 6.2. Certification Processes
- 7. Thailand Application of AI in Agriculture Market Future Size (in USD Bn), 2025–2030
- 7.1. Future Market Size Projections
- 7.2. Key Factors Driving Future Market Growth
- 8. Thailand Application of AI in Agriculture Market Future Segmentation, 2030
- 8.1. By Type (in Value %)
- 8.2. By End-User (in Value %)
- 8.3. By Application (in Value %)
- 8.4. By Distribution Channel (in Value %)
- 8.5. By Investment Source (in Value %)
- 8.6. By Policy Support (in Value %)
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