+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Australia AI in Agriculture and AgriTech Market

  • PDF Icon

    Report

  • 99 Pages
  • October 2025
  • Region: Australia
  • Ken Research Private Limited
  • ID: 6210642

Australia AI in Agriculture and AgriTech Market valued at USD 305 Mn, driven by precision farming, IoT, and AI analytics for enhanced productivity and sustainability.

The Australia AI in Agriculture and AgriTech Market is valued at USD 305 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of advanced technologies in farming practices, such as precision agriculture, IoT sensors, drones, and AI-powered analytics, aimed at enhancing productivity and sustainability. The integration of AI solutions in agriculture is pivotal in optimizing resource management, improving crop yields, and reducing operational costs, especially as farmers address climate variability and labor shortages.

Key players in this market are concentrated in major cities such as Sydney, Melbourne, and Brisbane, which dominate due to their robust agricultural sectors and strong technological infrastructure. These cities host numerous startups and established companies focused on AgriTech innovations, supported by a collaborative ecosystem involving research institutions and government initiatives. The geographic advantage of Australia, with vast agricultural areas and strong digital adoption, further accelerates market growth.

In 2023, the Australian government advanced the sector through the Future Drought Fund Act 2019, administered by the Department of Agriculture, Fisheries and Forestry. This binding instrument allocates AUD 100 million annually to support the development and adoption of AI technologies in agriculture, with operational requirements for grant recipients to demonstrate measurable improvements in productivity, sustainability, and resilience. The program covers weather forecasting, drought prediction, and IoT-enabled resource management, fostering innovation and food security.

Australia AI in Agriculture and AgriTech Market Segmentation

By Type:

The market is segmented into various types of AI technologies that are transforming agricultural practices. The subsegments include Machine Learning Solutions, Computer Vision Systems, IoT-Enabled Devices, Robotics and Automation Platforms, Decision Support Software, Drones and Aerial Imaging Tools, and Others. Among these, Machine Learning Solutions are leading due to their ability to analyze vast amounts of data for predictive analytics, which is crucial for decision-making in agriculture. The adoption of IoT-enabled devices and drones is also accelerating, driven by the need for real-time monitoring and precision resource management.

By End-User:

The end-user segmentation includes Large Scale Farms, Small and Medium Enterprises (SMEs), Agricultural Cooperatives, and Research Institutions. Large Scale Farms dominate the market as they have the resources and operational scale to deploy advanced technologies for enhanced productivity and efficiency. The trend towards precision agriculture and digital transformation is driving rapid adoption of AI solutions among these users, while SMEs and cooperatives increasingly leverage government support and shared platforms to access AI-driven innovations.

Australia AI in Agriculture and AgriTech Market Competitive Landscape

The Australia AI in Agriculture and AgriTech Market is characterized by a dynamic mix of regional and international players. Leading participants such as AgriWebb, The Yield Technology Solutions, FluroSat, Ceres Tag, AgriDigital, SwarmFarm Robotics, Farmbot Monitoring Solutions, Precision Agriculture Pty Ltd, DataFarming, Goanna Ag, CropLogic, Agersens, AgriFutures Australia, Agersens Pty Ltd, SwagBot (University of Sydney/Agerris) contribute to innovation, geographic expansion, and service delivery in this space.

Australia AI in Agriculture and AgriTech Market Industry Analysis

Growth Drivers

Increasing Demand for Food Security:

The global population is projected to reach 9.7 billion in future, necessitating a 70% increase in food production. In Australia, the agricultural sector contributes approximately AUD 60 billion to the economy, highlighting the urgent need for enhanced food security. The Australian government has allocated AUD 1.5 billion towards agricultural innovation, emphasizing the importance of AI technologies in meeting these demands and ensuring sustainable food production.

Adoption of Precision Agriculture:

The precision agriculture market in Australia is expected to reach AUD 1.2 billion in future, driven by the need for efficient resource management. Farmers are increasingly utilizing AI-driven tools to optimize crop yields and reduce waste. For instance, the use of AI in soil monitoring has shown to improve crop productivity by up to 30%, making it a critical driver for the adoption of advanced agricultural technologies in the region.

Technological Advancements in AI:

The Australian AI sector is projected to grow to AUD 22 billion in future, with significant investments in agricultural applications. Innovations such as machine learning and computer vision are enhancing crop monitoring and pest management. For example, AI algorithms can analyze satellite imagery to predict crop health, leading to a 20% increase in yield efficiency. This technological evolution is a key growth driver in the AgriTech landscape.

Market Challenges

High Initial Investment Costs:

The upfront costs associated with implementing AI technologies in agriculture can be prohibitive. For instance, the average investment for precision agriculture equipment can exceed AUD 100,000 per farm. This financial barrier limits access for small to medium-sized enterprises, which constitute over 90% of Australian farms. Consequently, the high initial costs hinder widespread adoption of AI solutions in the agricultural sector.

Data Privacy and Security Concerns:

As AI technologies rely heavily on data collection, concerns regarding data privacy and security are paramount. In future, 45% of Australian farmers expressed apprehension about data breaches and misuse of sensitive information. The lack of robust data protection frameworks can deter farmers from adopting AI solutions, thereby stalling innovation and growth in the AgriTech market.

Australia AI in Agriculture and AgriTech Market Future Outlook

The future of the AI in agriculture and AgriTech market in Australia appears promising, driven by ongoing technological advancements and increasing government support. As farmers seek to enhance productivity and sustainability, the integration of AI solutions will likely become more prevalent. Additionally, the focus on climate-resilient crops and sustainable practices will shape the development of innovative agricultural technologies, ensuring that the sector remains competitive and capable of meeting future food demands.

Market Opportunities

Expansion into Emerging Markets:

Australian AgriTech companies have the opportunity to expand into emerging markets in Southeast Asia, where agricultural productivity is critical. With a combined population of over 600 million, these markets present significant growth potential for AI-driven agricultural solutions, particularly in enhancing food security and sustainability.

Development of Sustainable Practices:

There is a growing demand for sustainable agricultural practices, with the Australian government committing AUD 500 million to support eco-friendly initiatives. This funding can facilitate the development of AI technologies that promote sustainable farming, such as precision irrigation and organic farming solutions, aligning with global sustainability goals and consumer preferences.

Table of Contents

1. Australia AI in Agriculture and AgriTech Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. Australia AI in Agriculture and AgriTech Market Size (in USD Bn), 2019-2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. Australia AI in Agriculture and AgriTech Market Analysis
3.1. Growth Drivers
3.1.1. Increasing Demand for Food Security
3.1.2. Adoption of Precision Agriculture
3.1.3. Technological Advancements in AI
3.1.4. Government Support and Funding
3.2. Restraints
3.2.1. High Initial Investment Costs
3.2.2. Data Privacy and Security Concerns
3.2.3. Limited Awareness and Understanding
3.2.4. Integration with Existing Systems
3.3. Opportunities
3.3.1. Expansion into Emerging Markets
3.3.2. Development of Sustainable Practices
3.3.3. Collaboration with Tech Startups
3.3.4. Customization of Solutions for Local Needs
3.4. Trends
3.4.1. Rise of Autonomous Farming Equipment
3.4.2. Increased Use of Drones for Monitoring
3.4.3. Growth of Data Analytics in Agriculture
3.4.4. Focus on Climate-Resilient Crops
3.5. Government Regulation
3.5.1. Agricultural Technology Innovation Strategy
3.5.2. National Biosecurity Policy
3.5.3. Environmental Protection Regulations
3.5.4. Data Protection Laws for Agricultural Data
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4. Australia AI in Agriculture and AgriTech Market Segmentation, 2024
4.1. By Type (in Value %)
4.1.1. Machine Learning Solutions
4.1.2. Computer Vision Systems
4.1.3. IoT-Enabled Devices
4.1.4. Robotics and Automation Platforms
4.1.5. Drones and Aerial Imaging Tools
4.1.6. Others
4.2. By End-User (in Value %)
4.2.1. Large Scale Farms
4.2.2. Small and Medium Enterprises (SMEs)
4.2.3. Agricultural Cooperatives
4.2.4. Research Institutions
4.3. By Application (in Value %)
4.3.1. Precision Farming
4.3.2. Crop Yield Prediction
4.3.3. Pest and Disease Detection
4.3.4. Livestock Monitoring
4.4. By Distribution Channel (in Value %)
4.4.1. Direct Sales
4.4.2. Online Platforms
4.4.3. Distributors and Resellers
4.5. By Investment Source (in Value %)
4.5.1. Private Investments
4.5.2. Government Grants
4.5.3. Venture Capital
4.6. By Policy Support (in Value %)
4.6.1. Subsidies for Technology Adoption
4.6.2. Tax Incentives for R&D
4.6.3. Grants for Sustainable Practices
4.7. By Technology (in Value %)
4.7.1. Machine Learning Applications
4.7.2. IoT Integration
4.7.3. Big Data Analytics
4.7.4. Robotics in Agriculture
5. Australia AI in Agriculture and AgriTech Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. AgriWebb
5.1.2. The Yield Technology Solutions
5.1.3. FluroSat
5.1.4. Ceres Tag
5.1.5. AgriDigital
5.2. Cross Comparison Parameters
5.2.1. Revenue Growth Rate
5.2.2. Market Penetration Rate
5.2.3. Customer Retention Rate
5.2.4. Average Contract Value
5.2.5. R&D Intensity
6. Australia AI in Agriculture and AgriTech Market Regulatory Framework
6.1. Compliance Requirements and Audits
6.2. Certification Processes
7. Australia AI in Agriculture and AgriTech Market Future Size (in USD Bn), 2025-2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. Australia AI in Agriculture and AgriTech Market Future Segmentation, 2030
8.1. By Type (in Value %)
8.2. By End-User (in Value %)
8.3. By Application (in Value %)
8.4. By Distribution Channel (in Value %)
8.5. By Investment Source (in Value %)
8.6. By Policy Support (in Value %)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • AgriWebb
  • The Yield Technology Solutions
  • FluroSat
  • Ceres Tag
  • AgriDigital
  • SwarmFarm Robotics
  • Farmbot Monitoring Solutions
  • Precision Agriculture Pty Ltd
  • DataFarming
  • Goanna Ag
  • CropLogic
  • Agersens
  • AgriFutures Australia
  • Agersens Pty Ltd
  • SwagBot (University of Sydney/Agerris)