Report Overview

Thailand Artificial Intelligence (AI) in Agriculture Market – Industry Trends & Forecast Report, 2031

Thailand Artificial Intelligence (AI) in Agriculture Market size was estimated at USD 78.24 million in 2024. During the forecast period from 2025 to 2031, Thailand Artificial Intelligence (AI) in Agriculture Market size is projected to grow at a CAGR of 8.10%, reaching a value of USD 134.95 million by 2031. The AI in Agriculture Market across Thailand is driven by precision farming adoption, affordable AI-based agri-tech solutions, and smartphone penetration. The expansion of AI-driven smart irrigation systems and government initiatives supporting agri-tech innovation further fuel growth. Additionally, machine learning and predictive analytics enhance crop yield optimization, while robotics and automation streamline farming operations. The Bio-Circular-Green (BCG) economic model promotes sustainability, encouraging AI integration in agriculture. These factors collectively contribute to the market's steady expansion.

Artificial Intelligence (AI) in Agriculture – Overview

Artificial Intelligence (AI) in agriculture enhances efficiency, productivity, and sustainability through precision farming, predictive analytics, and automation. AI-driven technologies like machine learning, computer vision, and IoT sensors optimize crop monitoring, soil analysis, and pest detection. AI-powered drones and robotics streamline harvesting and irrigation, reducing labor costs. Additionally, AI aids in weather forecasting, yield prediction, and resource management, ensuring better decision-making for farmers. The integration of AI is revolutionizing agriculture, making farming more data-driven, resilient, and environmentally sustainable.

Thailand Artificial Intelligence (AI) in Agriculture Market 

Growth Drivers

Increasing Demand for Precision Farming

Precision farming is revolutionizing Thailand’s agriculture sector by optimizing resource use and improving crop yields. AI-driven technologies like machine learning, predictive analytics, and computer vision enable farmers to monitor soil health, detect pests, and automate irrigation systems. The Thai government’s Bio-Circular-Green (BCG) economic model promotes sustainable farming practices, further accelerating AI adoption. With rising concerns over climate change and food security, precision farming powered by AI is becoming essential for efficient and eco-friendly agricultural operations.

Challenges

Limited Technological Awareness Among Farmers

Despite the growing adoption of AI in agriculture, Thai farmers face challenges due to limited technological awareness. Traditional farming practices dominate, and the lack of digital literacy slows AI integration. Additionally, high costs and uncertainty about AI benefits create hesitation. Government initiatives and training programs aim to bridge this gap, but widespread adoption remains a challenge. Strengthening education and outreach is crucial to ensuring farmers can leverage AI-driven solutions for improved productivity and sustainability.

Impact of Escalating Geopolitical Tensions on Thailand Artificial Intelligence (AI) in Agriculture Market

Escalating geopolitical instability is affecting Thailand’s AI-driven agriculture sector by disrupting supply chains, increasing costs of imported technology, and limiting foreign investments. Rising trade restrictions and global conflicts are slowing AI adoption in farming, particularly in precision agriculture and automation. Additionally, concerns over food security and export competitiveness are growing due to fluctuating commodity prices and climate-related challenges. Strengthening domestic AI capabilities and fostering regional collaborations are crucial to mitigating these risks.

Thailand Artificial Intelligence (AI) in Agriculture Market 

Segmental Coverage

Thailand Artificial Intelligence (AI) in Agriculture Market – By Technology

Thailand Artificial Intelligence (AI) in Agriculture Market by technology is divided into Machine Learning, Computer Vision, Predictive Analytics segments. The Machine Learning segment emerges as the largest in Thailand Artificial Intelligence (AI) in Agriculture Market. This dominance is attributed to its wide-ranging applications in crop management, yield prediction, soil health monitoring, and precision farming. Machine learning algorithms analyze large datasets from sensors, drones, and farm equipment to optimize resource usage and enhance productivity. The ability to learn from historical and real-time data enables farmers to make data-driven decisions, improving efficiency and reducing operational costs. As the agricultural sector in Thailand increasingly adopts digital technologies, machine learning continues to gain momentum as a transformative tool for smart and sustainable farming.

Thailand Artificial Intelligence (AI) in Agriculture Market – By Offering

Based on offering, Thailand Artificial Intelligence (AI) in Agriculture Market is divided into Hardware, Software, and AI-as-a-Service (AIaaS) segments. The software segment holds the largest share of Thailand Artificial Intelligence (AI) in Agriculture Market. This dominance is driven by the increasing adoption of AI-powered platforms for predictive analytics, crop health monitoring, and farm management solutions. Farmers and agribusinesses are increasingly leveraging software solutions to enhance productivity, optimize resource use, and make data-driven decisions. Additionally, the integration of machine learning algorithms and cloud-based analytics in agriculture-related applications has further strengthened the demand for software. As digital transformation accelerates in Thailand’s agricultural sector, the software segment is expected to maintain its lead, supported by growing investments and government initiatives.

Thailand Artificial Intelligence (AI) in Agriculture Market – By Application

Thailand Artificial Intelligence (AI) in Agriculture Market by application is divided into Precision Farming, Livestock Monitoring, Agriculture Robots, and Drone Analytics segments. Precision Farming segment emerges as the largest in Thailand Artificial Intelligence (AI) in Agriculture Market. This dominance is driven by the increasing adoption of AI-powered technologies such as predictive analytics, satellite imagery, and smart sensors to optimize crop yields, resource utilization, and farm management. Thai farmers and agribusinesses are increasingly investing in precision farming solutions to tackle challenges related to climate change, labor shortages, and soil health. Government support for digital agriculture initiatives and growing awareness about sustainable farming practices further boost the segment's growth, making it the most prominent and impactful in the country's AI agriculture landscape.

Competitive Landscape

Major companies operating in Thailand Artificial Intelligence (AI) in Agriculture Market include AgriAI Tech, IntelliFarm Innovations, Precision Ag Solutions, SmartGrow Technologies, CropSense AI, AgroBotics Thailand, FarmAI Analytics, GreenHarvest AI, AgriDrone Systems, AI AgriTech Solutions, and SmartAgri Robotics. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

Scope of the Report

By Technology

• Machine Learning

• Computer Vision

• Predictive Analytics 

By Offering

• Hardware

• Software

• AI-as-a-Service (AIaaS)

By Application

• Precision Farming

• Livestock Monitoring

• Agriculture Robots

• Drone Analytics

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1. Research Framework
   1. Research Objective
   2. Product Overview
   3. Market Segmentations
2. Executive Summary
3. Thailand Artificial Intelligence (AI) in Agriculture Market, Insights
   1. Industry Value Chain Analysis
   2. DROC Analysis
      1. Growth Drivers
         1. Increasing Demand for Precision Farming
         2. Availability of Affordable AI-Based Agri-Tech Solutions
         3. High Penetration of Smartphones & Internet  
      2. Restraints
         1. High Initial Investment and Implementation Costs
         2. Limited Technological Awareness Among Farmers
         3. Data Privacy and Security Concerns
      3. Opportunities
         1. Expansion of AI-Driven Smart Irrigation Systems
         2. Government Initiatives Supporting Agri-Tech Innovation
      4. Challenges
         1. Integration of AI with Traditional Farming Practices
         2. Lack of Skilled Workforce for AI Adoption   
   3. Technological Advancements/Recent Developments
   4. Regulatory Framework
   5. Porter’s Five Forces Analysis
      1. Bargaining Power of Suppliers
      2. Bargaining Power of Buyers
      3. Threat of New Entrants
      4. Threat of Substitutes
      5. Intensity of Rivalry
4. Thailand Artificial Intelligence (AI) in Agriculture Market, Strategies
5. Thailand Artificial Intelligence (AI) in Agriculture Market: Pricing Analysis
6. Thailand Artificial Intelligence (AI) in Agriculture Market, Overview
   1. Market Size & Forecast, 2019–2031
      1. By Value (USD Million)
   2. Market Share & Forecast
      1. By Technology
         1. Machine Learning
         2. Computer Vision
         3. Predictive Analytics  
      2. By Offering
         1. Hardware
         2. Software
         3. AI-as-a-Service  
      3. By Application
         1. Precision Farming
         2. Livestock Monitoring
         3. Agriculture Robots
         4. Drone Analytics
7. Competitive Landscape
   1. List of Key Players and Their Offerings
   2. Thailand Artificial Intelligence (AI) in Agriculture Market, Share Analysis, 2024
   3. Competitive Benchmarking, By Operating Parameters
   4. Key Strategic Developments (Mergers, Acquisitions, Partnerships)
8. Impact of Escalating Geopolitical Tensions on Thailand Artificial Intelligence (AI) in Agriculture Market
9. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)
   1. AgriAI Tech
   2. IntelliFarm Innovations
   3. Precision Ag Solutions
   4. SmartGrow Technologies
   5. CropSense AI
   6. AgroBotics Thailand
   7. FarmAI Analytics
   8. GreenHarvest AI
   9. AgriDrone Systems
   10. AI AgriTech Solutions
   11. SmartAgri Robotics
   12. Other Prominent Players  
10. Key Strategic Recommendations
11. Research Methodology
    1. Qualitative Research
       1.  Primary & Secondary Research
    2.   Quantitative Research
    3.   Market Breakdown & Data Triangulation
       1.  Secondary Research
       2.  Primary Research
    4. Breakdown of Primary Research Respondents, By Region
    5.   Assumptions & Limitations

*Financial information of non-listed companies can be provided as per availability.

  The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable.

List of Figures

Figure 1       Thailand Artificial Intelligence (AI) in Agriculture Market, Segmentation

Figure 2       Thailand Artificial Intelligence (AI) in Agriculture Market, Value Chain Analysis

Figure 3       Company Market Share Analysis, 2024

Figure 4       Thailand Artificial Intelligence (AI) in Agriculture Market, Size, By Value (USD Million), 2019–2031

Figure 5       Thailand Artificial Intelligence (AI) in Agriculture Market, Share, By Technology, By Value, 2019–2031

Figure 6       Thailand Artificial Intelligence (AI) in Agriculture Market, Share, By Offering, By Value, 2019–2031

Figure 7       Thailand Artificial Intelligence (AI) in Agriculture Market, Share, By Application, By Value, 2019–2031

List of Tables

Table 1        Thailand Artificial Intelligence (AI) in Agriculture Market, Size, By Value (USD Million), 2019–2031

Table 2        Thailand Artificial Intelligence (AI) in Agriculture Market, Size, By Technology, By Value, 2019–2031

Table 3        Thailand Artificial Intelligence (AI) in Agriculture Market, Size, By Offering, By Value, 2019–2031

Table 4        Thailand Artificial Intelligence (AI) in Agriculture Market, Size, By Application, By Value, 2019–2031

Table 5  AgriAI Tech Company Overview

Table 6  AgriAI Tech Financial Overview

Table 7  IntelliFarm Innovations Company Overview

Table 8  IntelliFarm Innovations Financial Overview

Table 9  Precision Ag Solutions Company Overview

Table 10  Precision Ag Solutions Financial Overview

Table 11  SmartGrow Technologies Company Overview

Table 12  SmartGrow Technologies Financial Overview

Table 13  CropSense AI Company Overview

Table 14  CropSense AI Financial Overview

Table 15  AgroBotics Thailand Company Overview

Table 16  AgroBotics Thailand Financial Overview

Table 17  FarmAI Analytics Company Overview

Table 18  FarmAI Analytics Financial Overview

Table 19  GreenHarvest AI Company Overview

Table 20  GreenHarvest AI Financial Overview

Table 21  AgriDrone Systems Company Overview

Table 22  AgriDrone Systems Financial Overview

Table 23  AI AgriTech Solutions Company Overview

Table 24  AI AgriTech Solutions Financial Overview

Table 25  SmartAgri Robotics Company Overview

Table 26  SmartAgri Robotics Financial Overview