Press Release

Thailand AI in Agriculture Market to Grow at CAGR of 6.08% through 2029

High penetration of smartphones & internet and increase in AI startup ecosystem is expected to drive the Thailand AI in Agriculture Market growth in the forecast period, 2025-2029


According to TechSci Research report, “Thailand AI in Agriculture Market – By Region, Competition, Forecast & Opportunities, 2019–2029F”, the Thailand AI in Agriculture Market stood at
USD 80.33 Million in 2023 and is anticipated to project steady growth in the forecast period with a CAGR of 6.08% through 2029. The drivers of Thailand's AI in Agriculture market are numerous. Technological advancements and the digitalization of agricultural practices play a key role. The increasing demand for food, coupled with labor shortages, necessitates efficient farming practices, which AI provides. Government initiatives to promote modern agricultural techniques and investment in AI technology also contribute significantly.

The popularity of precision farming and the necessity for water and crop management in a country that is heavily dependent on agriculture further propel the adoption of AI in this sector. Thailand's agricultural sector is undergoing a significant transformation with the advent of Artificial Intelligence (AI). The integration of AI technologies such as machine learning, robotics, and data analytics into farming practices is revolutionizing the way agriculture is conducted. This shift towards precision agriculture is empowering farmers with advanced tools and techniques to optimize crop production, improve resource management, and enhance overall efficiency. Recognizing the immense potential of AI, the Thai government has taken proactive steps to modernize the agricultural sector. As part of the Thailand 4.0 initiative, which aims to drive economic growth through innovation and technology, the government is actively promoting the application of AI in agriculture. This support demonstrates the commitment towards building a sustainable and efficient agricultural future.

With the implementation of AI-enhanced farming practices, Thai farmers can benefit from increased productivity, reduced resource wastage, and improved crop quality. AI-powered systems can analyze vast amounts of data to provide valuable insights on weather patterns, soil conditions, and pest management, enabling farmers to make informed decisions and optimize their operations. The use of AI in agriculture aligns with global sustainability goals. By minimizing the use of chemicals, optimizing water usage, and reducing environmental impact, AI-driven farming practices contribute to a more sustainable and eco-friendly agricultural ecosystem.

As Thailand continues to embrace AI in agriculture, it is poised to become a leader in the field. The combination of technological advancements, governmental support, and a commitment to sustainability positions Thailand's agricultural sector for a prosperous and resilient future.

Farmers and agribusinesses in Thailand are also embracing AI. They're using automated machinery and AI applications to streamline farming operations and increase crop yield. From automated tractors that can plough fields without human intervention, to drone technology providing real-time aerial imagery for crop monitoring, the adoption of AI in Thai agriculture is marked and progressive.

Data analytics, a subset of AI, is empowering farmers with predictive insights for better decision-making. Using AI algorithms, farmers can analyze weather patterns, soil conditions, and crop health data to predict optimal planting and harvesting periods. This not only increases crop yield but also reduces resource wastage. While the current scenario is promising, there are challenges to AI's widespread adoption in Thai agriculture. Many farmers still lack technological literacy, and there's a need for more affordable AI tools that small-scale farmers can adopt. Despite these obstacles, the future of AI in Thailand's agriculture market looks promising. With continued government support, farmer education, and technological advancements, AI is set to revolutionize Thai agriculture in the coming years.


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The Thailand AI in Agriculture Market is segmented into technology, offering, application, regional distribution, and company.

Based on application, Precision Farming is anticipated to demonstrate the fastest growth in the Thailand AI in Agriculture Market through 2029. Precision farming employs AI technology to increase yields and efficiency by accurately managing and optimizing agricultural resources. This technology leverages advanced algorithms and machine learning to enable farmers to monitor their crops in real-time, analyze intricate details of soil conditions, optimize irrigation schedules based on crop requirements, and even predict localized weather patterns. By harnessing the power of AI, farmers can ensure optimal crop growth, minimize resource wastage, and make data-driven decisions to enhance overall agricultural productivity and sustainability.

Based on region, Eastern Thailand is anticipated to demonstrate the fastest growth in the Thailand AI in Agriculture Market through 2029. This is due to its strategic advantages and innovative approaches. The region is home to several leading research universities that are driving cutting-edge AI research and providing a steady stream of skilled graduates. The government's supportive policies, along with robust digital infrastructure, make Eastern Thailand an attractive hub for technology startups. Specifically in agriculture, the application of AI technologies such as predictive analytics, machine learning, and IoT devices is revolutionizing traditional farming practices. By leveraging these technologies, farmers in Eastern Thailand are able to enhance crop yields, optimize water usage, and make data-driven decisions, thereby gaining a competitive edge in the marketplace. Eastern Thailand has a favorable climate and fertile land for agriculture. This makes it an ideal location for implementing AI in farming practices. The region also has a large and diverse agricultural sector, ranging from rice production to livestock farming, providing opportunities for the implementation of various AI technologies across different crops and animals.

 

Major companies operating in the Thailand AI in Agriculture Market are:

  • Microsoft (Thailand) Company Limited
  • Deere & Company (Global Fleet Sales (Thailand) Ltd.)
  • IBM Thailand Company Limited
  • True Digital Group Co., Ltd.
  • HG Robotics Co., Ltd.
  • Varuna (Thailand) Co., Ltd.
  • FarmInno (Thailand)
  • ATi Technologies Co., Ltd.
  • Syngenta Co., Ltd.
  • jDrones & Co.

 

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“The future of Thailand's AI in Agriculture Market is poised for significant growth. As farmers increasingly adopt technology to increase crop yield and reduce waste, AI applications are emerging as key tools in this transformation. From predictive analytics to automate irrigation and fertilization schedules, to drone technology for precise pest control, AI is paving the way for smarter, more sustainable farming practices. The government's support for technological innovation in agriculture also indicates a promising future for AI in this sector.,” said Mr. Karan Chechi, Research Director of TechSci Research, a research-based management consulting firm.

Thailand AI in Agriculture Market By Technology (Machine Learning, Computer Vision and Predictive Analytic), By Offering (Hardware, Software, AI-As-A-Service), By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others), By Region, Competition, Forecast & Opportunities, 2019-2029F”, has evaluated the future growth potential of Thailand AI in Agriculture Market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision-makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Thailand AI in Agriculture Market.

 

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Thailand AI in Agriculture Market By Technology (Machine Learning, Computer Vision and Predictive Analytic), By Offering (Hardware, Software, AI-As-A-Service), By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others), By Region, Competition, Forecast and Opportunities, 2019-2029F

Agriculture | Dec, 2024

Increasing demand for precision farming and availability of affordable AI-based Agri-tech solutions is expected to drive the Thailand AI in Agriculture Market growth in the forecast period, 2025-2029.

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