|
Forecast Period
|
2025-2029
|
|
Market Size (2023)
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USD 80.33 Million
|
|
Market Size (2029)
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USD 113.96 Million
|
|
CAGR (2024-2029)
|
6.08%
|
|
Fastest Growing Segment
|
AI-As-A-Service
|
|
Largest Market
|
Eastern Thailand
|
Market Overview
Thailand
AI in Agriculture Market was valued 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. 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.
Key Market Drivers
Increasing Demand for Precision Farming
The increasing demand for precision farming in
Thailand is propelling a noteworthy surge in the demand for Artificial
Intelligence (AI) in agriculture. Precision farming practices, which involve
optimizing inputs such as water, fertilizers, and pesticides based on real-time
data, are gaining prominence as farmers seek more efficient and sustainable
ways to manage their crops. AI technologies, including machine learning
algorithms and data analytics, play a crucial role in transforming traditional
farming methods into intelligent and data-driven processes. These technologies
enable farmers to analyze vast amounts of data, make informed decisions, and
implement precise interventions to enhance crop yields and resource efficiency.
As Thai agriculture embraces the digital
revolution, the demand for AI solutions is expanding across various farming
operations. AI-driven applications provide insights into soil health, crop
growth patterns, and pest management, empowering farmers to make proactive
decisions for better outcomes. The adoption of AI in agriculture aligns with
Thailand's commitment to modernize its farming practices, increase
productivity, and address environmental sustainability challenges. This growing
intersection of precision farming and AI technologies signifies a
transformative shift in the agricultural landscape, promoting smarter and more
resource-efficient farming practices in response to the evolving needs of the
Thai agricultural sector.
Availability of Affordable AI-Based Agri-Tech
Solutions
The availability of affordable AI-based agri-tech
solutions is a key driver behind the increasing demand for Artificial
Intelligence (AI) in agriculture in Thailand. As technology becomes more
accessible and cost-effective, farmers in Thailand are keen to leverage AI
applications to enhance their agricultural practices. Affordable AI-based
solutions offer a range of benefits, including precision farming, crop
monitoring, predictive analytics, and efficient resource management. These
tools empower farmers to make data-driven decisions, optimize input usage, and
improve overall productivity.
The affordability of AI-based agri-tech solutions
is particularly significant for small and medium-sized farmers who may have
budget constraints. The accessibility of these technologies democratizes the
adoption of AI in agriculture, allowing a broader spectrum of farmers to
harness the benefits of smart farming practices. With reduced barriers to
entry, more farmers in Thailand are embracing AI solutions to streamline their
operations, increase yields, and contribute to the sustainability of the
agricultural sector. This trend highlights the transformative impact of
accessible AI technologies, ushering in a new era of precision agriculture and
efficiency in Thailand. As affordability continues to drive demand, the
integration of AI in agriculture is poised to play a crucial role in shaping
the future of farming practices in the country.
High Penetration of Smartphones & Internet
The high penetration of smartphones and internet
connectivity is catalyzing an increased demand for Artificial Intelligence (AI)
in agriculture across Thailand. With a significant portion of the population
having access to smartphones and reliable internet infrastructure, farmers are
leveraging these technologies to access AI-based solutions that enhance
agricultural practices. Mobile applications and online platforms equipped with
AI algorithms provide real-time information on weather patterns, crop health, and
market trends, enabling farmers to make informed decisions on resource
management and optimize their yields.
The widespread use of smartphones has democratized
the adoption of AI in agriculture, allowing farmers to easily integrate these
technologies into their daily operations. Whether through crop monitoring apps,
predictive analytics tools, or AI-driven advisory services, the accessibility
of information on handheld devices empowers farmers to address challenges more
effectively. This surge in demand reflects a broader trend of digital
transformation in the agricultural sector, where connectivity and AI contribute
to increased efficiency, sustainability, and competitiveness in Thailand's
farming landscape. As the synergy between smartphones, internet connectivity,
and AI continues to grow, the agriculture industry in Thailand is poised to
benefit from innovative solutions that harness the power of technology for
optimal farm management.
Increase in AI Startup Ecosystem
The burgeoning AI startup ecosystem in Thailand is
significantly elevating the demand for Artificial Intelligence (AI) in
agriculture. The rise of innovative startups specializing in AI-driven
solutions tailored for agriculture has captured the attention of the farming
community. These startups bring forth cutting-edge technologies, including
machine learning algorithms and data analytics, designed to enhance various
aspects of agricultural operations. With a growing number of entrepreneurs
focusing on AI applications in farming, there is an expanding range of
solutions catering to precision agriculture, crop monitoring, predictive
analytics, and smart decision-making for farmers.
The increasing number of AI startups fosters a
competitive environment, spurring advancements and affordability in AI-based
agri-tech solutions. Farmers are increasingly drawn to these startups, seeking
tailored solutions that address specific challenges in Thai agriculture. This
dynamic ecosystem not only introduces innovative tools but also encourages the
adoption of AI by making these technologies more accessible and adaptable to
diverse farming needs. As the AI startup ecosystem continues to flourish, it
creates a positive ripple effect, fostering a culture of technological
innovation and collaboration within the Thai agricultural landscape. The demand
for AI in agriculture is poised to grow further as these startups contribute to
the evolution of smart and sustainable farming practices in Thailand.
In line with this growth, the Thai government has set ambitious targets to develop a workforce of 50,000 individuals in artificial intelligence (AI) over the next five years. This initiative aims to establish Thailand as a high-tech hub, with a focus on integrating AI into various sectors, including agriculture. The government's commitment to building a skilled workforce underscores the importance of AI in the nation's economic development and its application in enhancing agricultural practices.
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Key Market Challenges
Shortage Of Skilled Professionals In AI
The shortage of skilled professionals in Artificial
Intelligence (AI) is emerging as a limiting factor, decreasing the demand for
AI in agriculture in Thailand. While the adoption of AI technologies holds
great promise for the agricultural sector, the scarcity of individuals with the
requisite skills to develop, implement, and maintain AI-driven solutions
hampers its widespread application. The intricate nature of AI applications in
agriculture demands a specialized skill set that includes proficiency in
machine learning, data analytics, and domain-specific knowledge in farming
practices. The shortage of professionals proficient in these areas acts as a
barrier, limiting the deployment of AI technologies on farms.
Farmers and agricultural enterprises in Thailand
may be hesitant to invest in AI solutions due to concerns about the
availability of skilled talent to effectively integrate and manage these
technologies. Addressing the shortage of skilled professionals is crucial to
unlocking the full potential of AI in agriculture, as it would enable a more
seamless implementation of smart farming practices, leading to increased
productivity and sustainability. Initiatives focused on upskilling the
workforce and educational programs tailored to AI applications in agriculture
can play a pivotal role in bridging this skill gap and fostering a more robust
demand for AI technologies in Thailand's agricultural landscape.
Lack Robust Technological Infrastructure in Rural
Areas
The lack of robust technological infrastructure in
rural areas is acting as a significant impediment, decreasing the demand for
Artificial Intelligence (AI) in agriculture in Thailand. While AI has the
potential to revolutionize farming practices, particularly in precision
agriculture and data-driven decision-making, the absence of reliable
connectivity and advanced technological infrastructure in rural farming
communities limits the widespread adoption of AI technologies. Access to
high-speed internet, a crucial component for deploying AI solutions, remains a
challenge in many rural areas, hindering farmers' ability to leverage the full
spectrum of AI-driven applications.
Farmers in these regions may be reluctant to invest
in AI technologies due to concerns about connectivity issues, data
accessibility, and the overall reliability of technology infrastructure.
Addressing this digital divide is essential for unlocking the transformative
potential of AI in agriculture. Initiatives focusing on expanding technological
infrastructure, increasing internet connectivity, and providing support for the
integration of AI technologies in rural farming areas can play a vital role in
stimulating demand and enabling farmers to harness the benefits of AI for
enhanced productivity and sustainable agricultural practices in Thailand.
Key Market Trends
Technological Advancements in AI & Machine
Learning
Technological advancements in AI and machine
learning are driving a significant increase in the demand for Artificial
Intelligence (AI) in agriculture throughout Thailand. The continuous evolution
of AI algorithms and machine learning capabilities has led to the development
of sophisticated solutions tailored for the agricultural sector. Farmers are
now able to harness the power of AI to analyze vast datasets, predict crop
outcomes, optimize resource utilization, and make informed decisions in
real-time. The integration of AI-driven technologies is transforming
traditional farming practices into data-driven, precision agriculture, providing
farmers with invaluable insights for crop management.
The versatility of AI and machine learning
applications spans various aspects of agriculture, including crop monitoring,
disease detection, yield prediction, and efficient resource allocation. These
technological advancements not only enhance productivity but also contribute to
sustainable farming practices by minimizing environmental impact and optimizing
resource usage. As technological capabilities continue to advance, the demand
for AI in agriculture is poised to escalate in Thailand. Farmers increasingly
recognize the potential of AI to revolutionize their operations, increase
efficiency, and adapt to the evolving challenges of modern agriculture. The
ongoing technological evolution in AI and machine learning reinforces the
pivotal role these innovations play in shaping the future of agriculture in
Thailand.
Advent of Drone Technology in Farming
The advent of drone technology in farming is
generating a substantial increase in the demand for Artificial Intelligence
(AI) in agriculture across Thailand. Drones equipped with advanced sensors and
imaging capabilities provide farmers with a bird's-eye view of their fields,
enabling efficient monitoring and data collection. AI algorithms process the vast
amount of data gathered by drones, offering valuable insights into crop health,
pest infestations, and optimal irrigation practices. The synergy between drone
technology and AI enhances precision agriculture, allowing farmers to make
data-driven decisions for improved yields and resource management.
The use of drones in agriculture addresses
challenges related to large-scale field monitoring, making it a game-changer
for farmers seeking to enhance productivity and reduce operational costs. As
the adoption of drone technology becomes more widespread, the demand for
AI-driven solutions to analyze and interpret drone-captured data is on the
rise. The combination of these technologies not only streamlines farming
practices but also contributes to sustainability by minimizing the
environmental impact of traditional farming methods. The increasing demand for
AI in agriculture driven by drone technology underscores the transformative
impact of these innovations on the Thai agricultural landscape. Farmers are
embracing the potential of AI to augment their capabilities and navigate the
complexities of modern farming, fostering a more efficient and technologically
advanced sector in Thailand.
Segmental Insights
Technology Insights
Based on the Technology, in
Thailand's AI in Agriculture market, Machine Learning is rapidly emerging as
the dominant technology, revolutionizing the industry by leveraging its immense
potential. With the power of Machine Learning, farmers can not only enhance
crop yields but also streamline farming operations, leading to increased
efficiency and productivity. The precise identification of crop
diseases through Computer Vision technology enables proactive measures to be
taken, ensuring healthier crops and minimizing losses. The
integration of Predictive Analytics plays a crucial role in accurately
forecasting harvests, allowing farmers to make informed decisions and optimize
resource allocation. The seamless interplay of these cutting-edge technologies
in Thai agriculture is pushing the boundaries of innovation, paving the way for
sustainable practices and long-term growth in the sector.
Offering Insights
Based on the Offering, in
the Thailand AI in Agriculture market, AI-As-A-Service emerges as the
dominating segment. This trend is driven by the growing need for predictive
analytics to optimize farming practices and make data-driven decisions.
Farmers, who are the backbone of the agriculture industry, are increasingly
looking for cost-effective and scalable AI solutions that can provide real-time
insights and recommendations without the need for significant upfront
investment in hardware and software infrastructure. By leveraging
AI-As-A-Service, farmers can access state-of-the-art AI technologies and
expertise, enabling them to improve crop yields, reduce resource wastage, and
enhance overall agricultural productivity. With the adoption of
AI-As-A-Service, farmers can benefit from the latest advancements in artificial
intelligence. They can leverage machine learning algorithms to analyze vast
amounts of data, including weather patterns, soil conditions, and crop growth
indicators. This data-driven approach empowers farmers to make informed
decisions about irrigation, fertilization, and pest control, leading to optimized
resource allocation and improved crop health.
AI-As-A-Service
offers scalability and flexibility, allowing farmers to adjust their AI
solutions based on their specific needs and requirements. They can easily scale
up or down their usage of AI services, depending on factors such as seasonal
variations or changes in farming practices. This flexibility eliminates the
need for significant upfront investments and provides a cost-effective solution
for farmers of all sizes. By embracing AI-As-A-Service, the agriculture
industry in Thailand is experiencing a transformational shift towards
sustainability and efficiency. This shift not only empowers farmers with
advanced tools but also contributes to the overall sustainable development of
the agriculture sector. With optimized farming practices, reduced resource
wastage, and improved productivity, AI-As-A-Service is paving the way for a
more sustainable and prosperous future for Thai farmers and the entire
agriculture industry.
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Regional Insights
The AI in Agriculture market in Thailand is highly
competitive, with various regions making significant strides. However, Eastern
Thailand has emerged as a frontrunner, dominating the market with its advanced
farming solutions. This region is witnessing considerable investment in
AI-powered applications for precision farming, crop monitoring, and pest
management, significantly boosting the agricultural productivity and
sustainability. In Eastern Thailand, the adoption of AI in agriculture has been
driven by several factors. The region benefits from a favorable climate,
fertile soil, and a strong agricultural tradition. Local farmers and
agricultural businesses have embraced technology and innovation, leveraging AI
to optimize their operations and maximize yields.
Through the implementation of AI-powered solutions,
Eastern Thailand has achieved remarkable results in precision farming. Sensors
and drones are deployed to monitor crops and collect real-time data, enabling
farmers to make informed decisions regarding irrigation, fertilization, and
pest control. This data-driven approach not only improves crop health and yield
but also minimizes the use of resources, making agriculture more sustainable
and environmentally friendly.
The integration of AI technology in
pest management has revolutionized agricultural practices in Eastern Thailand.
Machine learning algorithms analyze data from various sources, such as weather
patterns, pest populations, and crop health, to predict and prevent pest
outbreaks. This proactive approach reduces the reliance on chemical pesticides,
decreasing the environmental impact while ensuring crop protection. As a result
of these advancements, Eastern Thailand has become a hub for AI-driven
agriculture, attracting investments and collaborations from local and
international stakeholders. The region's success serves as a model for other
areas in Thailand and beyond, showcasing the transformative potential of AI in
revolutionizing the agricultural sector.
Recent Developments
- In June 2024, PepsiCo announced plans to increase revenue by 15% for 35% of its 5,800 contract farmers in Thailand by 2030. The company, known for producing Lay's potato chips, is leveraging AI and advanced farming technologies to enhance agricultural productivity among its network of farmers. This initiative aims to drive significant improvements in farm yields and revenue generation over the next six years.
- In February 2023, in collaboration with FarmInno in Thailand, drone manufacturer XAG is
launching fully autonomous agricultural drones in the country. These drones,
equipped with artificial intelligence (AI), are designed for tasks such as fertilizer
spreading and precision spraying in agriculture. The initiative aims to assist
farmers in Thailand by saving them time and energy while addressing labor
shortages in the sector.
Key Market Players
- 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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By Technology
|
By Offering
|
By Application
|
By Region
|
- Machine Learning
- Computer Vision
- Predictive Analytic
|
- Hardware
- Software
- AI-As-A-Service
|
- Precision Farming
- Livestock Monitoring
- Agriculture Robots
- Drone
- Others
|
- Bangkok
- Eastern Thailand
- Northern Thailand
- Northeast
- Southern Thailand
- Western Thailand
|
Report Scope:
In this report, the Thailand AI in Agriculture
Market has been segmented into the following categories, in addition to the
industry trends which have also been detailed below:
- Thailand AI in Agriculture
Market, By
Technology:
o Machine Learning
o Computer Vision
o Predictive Analytic
- Thailand AI in Agriculture
Market, By
Offering:
o Hardware
o Software
o AI-As-A-Service
- Thailand AI in Agriculture
Market, By
Application:
o Precision Farming
o Livestock Monitoring
o Agriculture Robots
o Drone
o Others
- Thailand AI in Agriculture Market,
By Region:
o Bangkok
o Eastern Thailand
o Northern Thailand
o Northeast
o Southern Thailand
o Western Thailand
Competitive Landscape
Company Profiles: Detailed analysis of the major companies
present in the Thailand AI in Agriculture Market.
Available Customizations:
Thailand AI in Agriculture Market report with
the given market data, TechSci Research offers customizations according to a
company's specific needs. The following customization options are available for
the report:
Company Information
- Detailed analysis and
profiling of additional market players (up to five).
Thailand AI in Agriculture Market is an upcoming
report to be released soon. If you wish an early delivery of this report or
want to confirm the date of release, please contact us at [email protected]