• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    Japan Applied Ai In Agriculture Market

    ID: MRFR/ICT/60447-HCR
    200 Pages
    Aarti Dhapte
    October 2025

    Japan Applied AI in Agriculture Market Research Report By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Software, AI-as-a-Service), and By Application (Drone Analytics, Precision Farming)-Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    Japan Applied Ai In Agriculture Market Infographic
    Purchase Options

    Japan Applied Ai In Agriculture Market Summary

    The Japan Applied AI in Agriculture market is projected to grow from 131.8 USD Million in 2024 to 700 USD Million by 2035, indicating robust growth potential.

    Key Market Trends & Highlights

    Japan Applied AI in Agriculture Key Trends and Highlights

    • The market is expected to achieve a compound annual growth rate (CAGR) of 16.39% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 700 USD Million, reflecting a substantial increase from the base year.
    • In 2024, the market is valued at 131.8 USD Million, showcasing the initial investment in AI technologies in agriculture.
    • Growing adoption of precision farming due to the need for enhanced productivity is a major market driver.

    Market Size & Forecast

    2024 Market Size 131.8 (USD Million)
    2035 Market Size 700 (USD Million)
    CAGR (2025-2035) 16.39%

    Major Players

    Denso, Hitachi, Sony, Toyota, Mitsubishi Electric, Panasonic, Z Holdings, Fujitsu, Farmnote, Toshiba, Rakuten, NEC

    Japan Applied Ai In Agriculture Market Trends

    Japan's aging farming population is the main factor driving the country's notable gains in the applied artificial intelligence in agriculture business. Since many Japanese farmers are getting close to retirement age, automation and technology are desperately needed to maintain agricultural productivity.

    The deployment of AI systems that maximize labor and increase yields is encouraged by this demographic shift. Furthermore, when politicians realize how AI may improve food security and sustainability, government actions to support smart agriculture solutions are crucial.

    These programs frequently offer farmers financial incentives to implement cutting-edge technologies, which facilitates and appeals to the shift. Precision agriculture, which uses AI to analyze data and improve farming efficiency, offers prospects as Japan deals with the effects of climate change and a shortage of fertile land.

    Recent trends indicate an increase in AI applications, including real-time data-driven intelligent irrigation systems, autonomous vehicles for field operations, and drones for crop monitoring. By addressing environmental concerns and increasing their efficiency, Japanese farmers are benefiting from these technical improvements.

    All things considered, the Japanese market for applied artificial intelligence in agriculture is changing to satisfy both present demands and upcoming difficulties, suggesting a dynamic environment with lots of room for innovation and expansion.

    Japan Applied AI

    Market Segment Insights

    Japan Applied

    Japan Applied AI in Agriculture Market Segment Insights

    Applied

    Applied AI in Agriculture Market Technology Insights

    The Technology segment of the Japan Applied AI in Agriculture Market represents a pivotal area that is experiencing substantial advancements, driven by the need for efficiency and precision in agricultural practices. In recent years, the agricultural industry in Japan has observed a growing adoption of technologies that leverage data analytics and artificial intelligence to improve productivity.

    Among the innovative technologies, Machine Learning is significantly reshaping how data is utilized for crop management. By analyzing vast datasets, Machine Learning enables farmers to predict crop yields more accurately, optimize resources, and enhance decision-making processes.

    This technology is essential in creating predictive models that help mitigate risks associated with farming, such as adverse weather conditions and pest infestations.

    Applied

    Applied AI in Agriculture Market Offering Insights

    The Japan Applied AI in Agriculture Market, particularly within the Offering segment, is experiencing notable advancements, driven by the integration of innovative technologies that enhance agricultural productivity.

    The significance of software solutions in this sector is evident, as they provide farmers with data analytics, crop monitoring, and predictive modeling, thus enabling informed decision-making. AI-as-a-Service is also gaining traction, offering scalable and cost-effective access to sophisticated AI tools and platforms tailored for agricultural needs.

    These offerings help address challenges such as labor shortages and resource management, ultimately contributing to more efficient agricultural practices. The market in Japan is supported by government initiatives aimed at promoting technology adoption in agriculture, reflecting a strategic shift towards modernization and sustainability in the industry.

    Applied

    Applied AI in Agriculture Market Application Insights

    The Application segment of the Japan Applied AI in Agriculture Market plays a crucial role in enhancing agricultural efficiency through innovative technologies. Drone Analytics has emerged as a significant component, offering farmers real-time data on crop health and land usage, allowing for precise interventions that can significantly improve yields.

    By utilizing aerial imagery and data analysis, farmers can identify issues such as pest infestations or nutrient deficiencies promptly. Precision Farming, another vital aspect of this segment, employs data-driven techniques to optimize farming practices, reduce waste, and ensure sustainable resource use.

    This approach enhances productivity while minimizing environmental impact. As Japan continues to face challenges such as an aging population and labor shortages in agriculture, the demand for these advanced applications grows stronger.

    Get more detailed insights about Japan Applied Ai In Agriculture Market Research Report-Forecast to 2035

    Key Players and Competitive Insights

    The Japan Applied AI in Agriculture Market is experiencing significant growth as advancements in artificial intelligence continue to transform agricultural practices. This sector is characterized by heightened competition as various companies strive to incorporate AI technologies into sustainable farming practices.

    The landscape is marked by innovation, where firms are engaged in developing tools and solutions that enhance productivity, efficiency, and sustainability in agriculture. Companies are focusing on data-driven approaches to optimize crop yields, improve pest management, and streamline supply chain processes.

    This growing interest in AI-powered agricultural solutions is motivating firms to collaborate with tech innovators, research bodies, and farmers to ensure the practical applicability of their offerings. The competitive dynamics are constantly shaping strategies, leading to a rich array of services and products geared towards modernizing agriculture in Japan.

    Denso stands as a prominent player in the Japan Applied AI in Agriculture Market, leveraging its rich expertise in automotive technology and systems integration to enhance agricultural operations. The company focuses primarily on developing smart agricultural solutions that harness AI for precision farming.

    Their initiatives are centered on optimizing resource use such as water and fertilizers, which aligns with the increasing demand for sustainable farming practices in Japan. Denso's strengths lie in its strong research and development capabilities, allowing them to advance AI technologies effectively tailored to the agricultural sector.

    This deep understanding of both technology and agriculture enables Denso to forge beneficial partnerships and collaborations within the industry, solidifying its market position and enhancing its offerings.

    Hitachi has also established a strong foothold within the Japan Applied AI in Agriculture Market, offering a range of key products and services designed to facilitate smart farming solutions. Their focus encompasses the implementation of big data analytics, IoT technologies, and advanced robotics in agriculture, which positions them competitively in the sector.

    Hitachi's strengths include a robust infrastructure and extensive experience in IT and operational technologies, enabling them to provide integrated solutions that improve agricultural productivity and efficiency.

    Their ongoing efforts in mergers and acquisitions have allowed Hitachi to expand its capabilities and enhance its product portfolio, reinforcing its dedication to agricultural innovation. By leveraging AI in their offerings, Hitachi aims to address critical challenges faced by the agricultural industry in Japan, showcasing their commitment to advancing the sector through technology.

    Key Companies in the Japan Applied Ai In Agriculture Market market include

    Industry Developments

    While NEC and Sumitomo Corporation signed a strategic partnership in March 2024 to expand CropScope globally, including extended AI advisory and irrigation control for diverse crops beyond tomatoes, NEC, through its DXAS joint venture with Kagome, deployed its AI-enabled CropScope platform in Europe and worldwide tomato farms in November 2023, following Japanese trials.

    Using AI-powered disease detection, Local 5G, and Wi-Fi HaLow communications to enable autonomous tractors and drone imaging for yam and wheat assessment—real-time analysis over large agricultural plots—NEC carried out advanced demonstrations in Hokkaido that same year.

    Despite not publicly announcing new AI modules in Japan after 2023, Farmnote is still providing AI-supported livestock herd management through IoT sensors on dairy farms. Despite not having dates associated with any particular agriculture AI initiatives, Mitsubishi Electric, Fujitsu, Hitachi, Sony, Panasonic, Toyota, and Rakuten were named in industry reports for 2023–2024 as major players in the Japanese AI-agri market.

    During that time, no public agriculture-AI projects for Z Holdings, Bokoi, or Yamaha were revealed. Therefore, by planned global expansion through Sumitomo and CropScope platform advancements, NEC stands out as the only firm having verified AI-agriculture deployments and partnerships in Japan from January 2023.

    Japan Applied AI

    Market Segmentation

    Applied AI in Agriculture Market Offering Outlook

    • Drone Analytics
    • Precision Farming

    Applied AI in Agriculture Market Technology Outlook

    • Software
    • AI-as-a-Service

    Applied AI in Agriculture Market Application Outlook

    • Drone Analytics
    • Precision Farming

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 101.85(USD Million)
    MARKET SIZE 2024 131.78(USD Million)
    MARKET SIZE 2035 700.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 16.395% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Denso, Hitachi, Sony, Toyota, Yamaha, Mitsubishi Electric, Panasonic, Z Holdings, Fujitsu, Farmnote, Bokoi, Toshiba, Rakuten, AgriData, NEC
    SEGMENTS COVERED Technology, Offering, Application
    KEY MARKET OPPORTUNITIES Precision farming technologies, Autonomous machinery integration, Crop disease prediction models, Data analytics for yield optimization, Smart irrigation systems
    KEY MARKET DYNAMICS Technological advancements, Government support initiatives, Increasing demand for efficiency, Labor shortage challenges, Sustainable farming practices
    COUNTRIES COVERED Japan

    FAQs

    What is the expected market size of the Japan Applied AI in Agriculture Market in 2024?

    The Japan Applied AI in Agriculture Market is expected to be valued at 131.78 million USD in 2024.

    What will be the market value of the Japan Applied AI in Agriculture Market by 2035?

    By 2035, the market is anticipated to grow to a value of 700.0 million USD.

    What is the expected CAGR for the Japan Applied AI in Agriculture Market from 2025 to 2035?

    The market is projected to experience a CAGR of 16.395% during the forecast period from 2025 to 2035.

    Which technology segment is expected to have the highest market valuation in 2035?

    The Computer Vision segment is expected to be valued at 240.0 million USD in 2035, indicating significant growth.

    What will be the market size for Machine Learning in 2035?

    The Machine Learning segment is projected to reach a market size of 220.0 million USD by 2035.

    Who are the major players in the Japan Applied AI in Agriculture Market?

    Key players in the market include Denso, Hitachi, Sony, Toyota, Yamaha, and Mitsubishi Electric.

    How much is the Predictive Analytics segment valued at in 2024?

    The Predictive Analytics segment is valued at 46.78 million USD in 2024.

    What trend is driving the growth of AI applications in Japanese agriculture?

    The increasing demand for precision farming and data-driven decision making is driving the growth of AI applications in agriculture.

    What challenges does the Japan Applied AI in Agriculture Market face?

    Challenges include high implementation costs and the need for skilled labor to effectively utilize AI technologies.

    What impact does the current global scenario have on the agriculture AI market in Japan?

    The current global scenario influences supply chains and agricultural practices, ultimately affecting the uptake of AI technologies in agriculture.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials