Thailand AI in Agriculture Market Competition, Forecast & Opportunities, 2029: Availability of Affordable AI-Based Agri-Tech Solutions and Increasing Demand for Precision Farming
The “Thailand AI in Agriculture Market, By Region, Competition, Forecast & Opportunities, 2019-2029F” report has been added to ResearchAndMarkets.com’s offering.
The Thailand AI in Agriculture Market was valued at USD 80.33 Million in 2023, and is expected to reach USD 113.96 Million by 2029, rising at a CAGR of 6.08%
Artificial Intelligence (AI) in the agricultural sector of Thailand is a burgeoning market. It pertains to the implementation of machine intelligence tools like machine learning, predictive analytics, and robotics in farming and related activities. These technologies are making a substantial impact on Thailand’s agriculture, enhancing yield, reducing waste, and fostering sustainable practices. From automating irrigation systems to predicting weather patterns for crop optimization, AI is revolutionizing the farming landscape in Thailand while contributing to the market’s growth and the country’s economic prosperity.
In April 2024, the National Innovation Agency (NIA) of Thailand launched the AGROWTH platform to accelerate the development of deep-tech agricultural startups, focusing on artificial intelligence (AI), robotics, automation, and biotechnology. This initiative aims to foster partnerships between startups and major farming businesses, enhancing the integration of advanced technologies in agriculture. Currently, Thailand has 81 agricultural startups, with fewer than 15 specializing in deep technology, and the agri-tech industry has attracted investments exceeding 1.7 trillion baht.
The Thai government’s commitment to modernizing agriculture through technological innovation is evident in its strategic initiatives. The Bio-Circular-Green (BCG) economic model emphasizes the adoption of smart agriculture technologies, including AI, to promote sustainability and efficiency. AI applications such as machine learning, predictive analytics, and robotics are being utilized to optimize farming practices, enhance crop yields, and reduce waste.
