logo

APAC Smart Agriculture Market Outlook to 2028

Region:Asia

Author(s):Mukul

Product Code:KROD3868

Download Sample Report
Published On

October 2024

Total pages

92

About the Report

APAC Smart Agriculture Market Overview

  • The APAC Smart Agriculture market is valued at USD 3.6 billion based on a five-year historical analysis. The market's growth is driven by technological advancements such as the integration of IoT in agriculture, which enables efficient resource management and data-driven decision-making. Additionally, the increasing demand for sustainable farming practices and the need to meet food security challenges have been key drivers. Governments across the region, including those of China and India, have also played a critical role in promoting smart agriculture by offering incentives and subsidies.
  • China and India dominate the APAC Smart Agriculture market due to their vast agricultural landscapes and large farming populations. These countries have embraced smart farming technologies to enhance agricultural productivity and address labor shortages. China's advanced infrastructure and significant investments in digital agriculture, coupled with India’s push toward adopting precision farming techniques, further consolidate their leadership in the market.
  • Several APAC countries are offering agricultural subsidies to encourage technology adoption in farming. In 2024, Japan announced a $300 million subsidy program aimed at promoting smart agriculture solutions, such as drones, sensors, and AI-powered machinery. Similarly, South Korea provides up to 50% subsidies for farmers adopting IoT-based monitoring systems. These subsidies are helping small and medium-scale farmers overcome the financial challenges of integrating advanced technologies into their farming operations.

APAC Smart Agriculture Market Size

APAC Smart Agriculture Market Segmentation

  • By Component: The APAC Smart Agriculture market is segmented by component into hardware, software, and services. Among these, hardware components such as sensors, drones, and GPS devices hold a dominant share. This dominance can be attributed to the increasing adoption of sensor-based technologies and UAVs (unmanned aerial vehicles) for real-time data collection and monitoring. These tools allow farmers to optimize inputs such as water, fertilizers, and pesticides, leading to higher crop yields and reduced operational costs. The growing trend of precision agriculture, particularly in large-scale farming operations, further drives the demand for hardware components.

APAC Smart Agriculture Market Segmented by Component

  • By Application: The APAC Smart Agriculture market is also segmented by application into precision farming, livestock monitoring, smart greenhouses, and aquaculture. Precision farming holds the largest market share in this segment due to its ability to enhance crop productivity and resource efficiency. The use of GPS-enabled equipment, drones, and sensors to monitor crop health and soil conditions has gained significant traction, especially in countries like China, Japan, and Australia. These technologies help reduce wastage, optimize field operations, and improve decision-making processes for farmers, driving their widespread adoption.

APAC Smart Agriculture Market Segmentation by Application

APAC Smart Agriculture Market Competitive Landscape

The APAC Smart Agriculture market is dominated by key global and regional players. These companies lead the market through innovation, strategic partnerships, and strong distribution networks. The competitive landscape in APAC is highly consolidated, with major players such as John Deere and AGCO Corporation leading the charge. Local players like Kubota Corporation have also gained a strong foothold due to their proximity to markets and localized solutions tailored to regional farming practices.

market overviews

APAC Smart Agriculture Industry Analysis

APAC Smart Agriculture Market Growth Drivers

  • Increasing Adoption of Precision Farming Techniques: Precision farming is driving growth in the APAC smart agriculture market due to its ability to optimize inputs and improve crop yields. For instance, in 2023, over 12 million hectares of farmland in India and China have adopted precision agriculture tools such as GPS-based guidance systems and sensors for soil monitoring. The use of precision farming techniques reduces water usage by around 30% and increases crop productivity by nearly 15%. The rapid expansion of this technology is supported by government initiatives in several countries like Japan and Australia to promote sustainable agriculture practices.

  • Government Incentives for Smart Agricultural Practices: Governments across APAC are introducing incentives to encourage farmers to adopt smart agriculture practices. In 2024, India allocated approximately $300 million for its Digital Agriculture Mission to promote the use of drones and IoT devices in farming. Similarly, the Chinese government has set aside funds for smart farming projects, enabling over 20,000 farms to integrate digital solutions. These policies are helping farmers overcome financial barriers to adopting new technologies, making the APAC region a leader in global agricultural innovation.
  • Rising Demand for Sustainable Agriculture Solutions: As global environmental concerns rise, sustainable farming practices are becoming a priority. In 2024, it was reported that over 60% of farmers in APAC, particularly in Japan and South Korea, are adopting eco-friendly techniques to reduce carbon emissions and conserve natural resources. Smart agriculture solutions, including smart irrigation and precision farming, are pivotal in this shift. The emphasis on sustainability is further driven by international agreements like the Paris Accord, which are encouraging APAC nations to reduce their agricultural carbon footprint by investing in sustainable smart farming technologies.

APAC Smart Agriculture Market Restraints

  • Data Security and Privacy Concerns: With the rise of IoT devices in farming, data security has become a significant challenge. A survey conducted in 2024 by the Ministry of Agriculture in South Korea revealed that 35% of farmers are concerned about unauthorized access to their farming data. IoT devices in smart agriculture collect vast amounts of data, including soil conditions, crop health, and weather patterns, which are susceptible to cyberattacks. Lack of robust cybersecurity frameworks in many APAC countries further exacerbates these concerns, hindering the rapid adoption of digital farming solutions. Source: Ministry of Agriculture, South Korea, 2024
  • Lack of Technological Knowledge Among Farmers: Technological illiteracy remains a barrier in rural areas across the APAC region. A 2024 report by the Indian government highlighted that 40% of farmers in India still lack the knowledge or training to effectively use smart farming tools like drones, sensors, and IoT devices. Similar challenges are seen in Southeast Asian countries like Thailand and the Philippines, where only 30% of farmers have received basic training on digital tools. Government efforts to bridge this knowledge gap through training programs are underway but progress has been slow.

APAC Smart Agriculture Market Future Outlook

Over the next five years, the APAC Smart Agriculture market is expected to experience substantial growth, driven by the increasing adoption of AI and IoT solutions in farming. Government policies promoting sustainable agriculture, coupled with advancements in autonomous farming technologies, will continue to play a pivotal role in shaping the future of the market. The region’s expanding population and growing need for efficient food production are key factors that will contribute to the steady growth of this sector. As technology evolves, smart farming solutions will become more accessible, even to small-scale farmers, further driving market expansion.

Market Opportunities

  • Artificial Intelligence (AI) and Machine Learning (ML) are creating opportunities for smarter, data-driven farming. In 2024, APAC governments, especially in China, invested $400 million in AI research for agriculture, with applications ranging from predictive crop analytics to automated pest control. AI-driven insights are helping farmers manage resources more effectively and increase productivity by 20%. Machine Learning algorithms are being applied to predict weather patterns and optimize irrigation, reducing water consumption by up to 25.

  • Increasing Use of Big Data for Crop Monitoring: The increasing use of Big Data in agriculture is enabling real-time crop monitoring and yield predictions. In 2024, Japan’s Agriculture Ministry reported that 45% of farms in the country use Big Data platforms to monitor crops, soil conditions, and weather forecasts. These systems allow farmers to track crop growth and make data-backed decisions, improving yields by 10-15%. In Australia, Big Data is being integrated into national agricultural policies, encouraging the adoption of digital platforms for smarter farm management.

Scope of the Report

By Component

Hardware (Sensors, GPS, UAVs)

 

Software (Farm Management Systems)

 

Services (Consulting, Implementation)

By Application

Precision Farming

 

Livestock Monitoring

 

Smart Greenhouses

 

Aquaculture

By Farm Size

Small Farms

 

Medium Farms

 

Large Farms

By Technology

AI & Machine Learning

 

IoT & Sensors

 

Robotics & Drones

 

Big Data Analytics

By Region

China

 

India

 

Japan

 

Australia

 

Southeast Asia

Products

Key Target Audience

  • Large-scale agricultural enterprises
  • Small and medium-scale farms adopting digital farming solutions
  • IoT solution providers for agriculture
  • Hardware and sensor manufacturers
  • Software developers and data analytics companies for precision farming
  • Government and regulatory bodies (Ministry of Agriculture, Rural Development Authorities)
  • Investments and venture capitalist firms
  • Agricultural machinery and equipment distributors

Companies

  • John Deere
  • AGCO Corporation
  • Kubota Corporation
  • Trimble Inc.
  • DJI Technology
  • Yara International
  • Hexagon Agriculture
  • Topcon Positioning Systems
  • Ag Leader Technology
  • DeLaval
  • Raven Industries
  • Valmont Industries
  • Climate Corporation
  • Farmers Edge
  • CNH Industrial

Table of Contents

1. APAC Smart Agriculture Market Overview

1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview

2. APAC Smart Agriculture Market Size (In USD Bn)

2.1. Historical Market Size
2.2. Year-On-Year Growth Analysis
2.3. Key Market Developments and Milestones

3. APAC Smart Agriculture Market Analysis

3.1. Growth Drivers
3.1.1. Increasing Adoption of Precision Farming Techniques
3.1.2. Government Incentives for Smart Agricultural Practices
3.1.3. Rising Demand for Sustainable Agriculture Solutions
3.1.4. Integration of IoT in Agriculture
3.2. Market Challenges
3.2.1. High Initial Investment and Operational Costs
3.2.2. Data Security and Privacy Concerns
3.2.3. Lack of Technological Knowledge Among Farmers
3.3. Opportunities
3.3.1. Expansion of AI and Machine Learning Applications
3.3.2. Increasing Use of Big Data for Crop Monitoring
3.3.3. Innovations in Sensor-Based Technology
3.4. Trends
3.4.1. Adoption of Autonomous Farming Equipment
3.4.2. Use of Drones for Precision Agriculture
3.4.3. Smart Irrigation Systems Adoption
3.4.4. Rise of Vertical Farming and Controlled Environment Agriculture
3.5. Government Initiatives and Policies
3.5.1. Digital Agriculture Support Programs
3.5.2. Agricultural Subsidies for Technology Adoption
3.5.3. National Smart Farming Projects
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Porter’s Five Forces Analysis
3.9. Competitive Landscape

4. APAC Smart Agriculture Market Segmentation

4.1. By Component (In Value %)
4.1.1. Hardware (Sensors, GPS, UAVs)
4.1.2. Software (Farm Management Systems, Data Analytics Platforms)
4.1.3. Services (Consulting, Implementation, Support)
4.2. By Application (In Value %)
4.2.1. Precision Farming
4.2.2. Livestock Monitoring
4.2.3. Smart Greenhouses
4.2.4. Aquaculture
4.3. By Farm Size (In Value %)
4.3.1. Small Farms
4.3.2. Medium Farms
4.3.3. Large Farms
4.4. By Technology (In Value %)
4.4.1. AI & Machine Learning
4.4.2. IoT & Sensors
4.4.3. Robotics & Drones
4.4.4. Big Data Analytics
4.5. By Region (In Value %)
4.5.1. China
4.5.2. India
4.5.3. Japan
4.5.4. Australia
4.5.5. Southeast Asia

5. APAC Smart Agriculture Market Competitive Analysis

5.1 Detailed Profiles of Major Companies
5.1.1. John Deere
5.1.2. AGCO Corporation
5.1.3. Kubota Corporation
5.1.4. Trimble Inc.
5.1.5. CNH Industrial
5.1.6. Yara International
5.1.7. Hexagon Agriculture
5.1.8. Topcon Positioning Systems
5.1.9. DJI Technology
5.1.10. Ag Leader Technology
5.1.11. DeLaval
5.1.12. Raven Industries
5.1.13. Valmont Industries
5.1.14. Climate Corporation
5.1.15. Farmers Edge
5.2 Cross Comparison Parameters (Revenue, Employees, Product Portfolio, Regional Presence, Key Patents)
5.3. Market Share Analysis
5.4. Strategic Initiatives
5.5. Mergers and Acquisitions
5.6. Investment Analysis
5.7. Government Grants
5.8. Private Equity and Venture Capital Investments

6. APAC Smart Agriculture Market Regulatory Framework

6.1. Environmental Standards
6.2. Compliance Requirements
6.3. Certification Processes

7. APAC Smart Agriculture Future Market Size (In USD Bn)

7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth

8. APAC Smart Agriculture Future Market Segmentation

8.1. By Component (In Value %)
8.2. By Application (In Value %)
8.3. By Farm Size (In Value %)
8.4. By Technology (In Value %)
8.5. By Region (In Value %)

9. APAC Smart Agriculture Market Analysts’ Recommendations

9.1. TAM/SAM/SOM Analysis
9.2. Customer Cohort Analysis
9.3. Marketing Initiatives
9.4. White Space Opportunity Analysis

Disclaimer

Contact Us

Research Methodology

Step 1: Identification of Key Variables

The initial phase involves constructing a stakeholder map for the APAC Smart Agriculture market. Through extensive desk research, industry data from proprietary databases and government sources is gathered to identify critical market variables, including technological adoption and regulatory frameworks.

Step 2: Market Analysis and Construction

We analyze historical data related to smart agriculture practices, including market penetration and the adoption of smart devices in agriculture. This analysis covers metrics such as hardware usage, sensor integration, and crop yields.

Step 3: Hypothesis Validation and Expert Consultation

Market hypotheses are validated via CATI interviews with key industry experts, including agricultural engineers and IoT specialists. These insights are crucial in refining the market projections and providing data-driven conclusions.

Step 4: Research Synthesis and Final Output

The final phase involves synthesizing insights from large-scale agricultural enterprises and smart agriculture solution providers to validate our bottom-up market analysis. The outcome ensures that the APAC Smart Agriculture market's growth trajectory is accurately represented.

Frequently Asked Questions

01. How big is the APAC Smart Agriculture market?

The APAC Smart Agriculture market is valued at USD 3.6 billion, driven by the rising demand for sustainable farming practices and the integration of IoT solutions to optimize resource use.

02. What are the key challenges in the APAC Smart Agriculture market?

Challenges include high initial investment costs for smart farming technologies and limited technological know-how among small-scale farmers, which affects adoption rates in certain regions.

03. Who are the major players in the APAC Smart Agriculture market?

Major players include John Deere, AGCO Corporation, Kubota Corporation, Trimble Inc., and DJI Technology, all of which have strong market presence and innovative product portfolios.

04. What are the growth drivers for the APAC Smart Agriculture market?

Key growth drivers include increasing government support for sustainable agriculture, advancements in AI, and growing adoption of IoT-based farming solutions to improve productivity and reduce costs.

Why Buy From Us?

RRR
Refine Robust Result (RRR) Framework

What makes us stand out is that our consultants follows Robust, Refine and Result (RRR) methodology. i.e. Robust for clear definitions, approaches and sanity checking, Refine for differentiating respondents facts and opinions and Result for presenting data with story

reach
Our Reach Is Unmatched

We have set a benchmark in the industry by offering our clients with syndicated and customized market research reports featuring coverage of entire market as well as meticulous research and analyst insights.

Research
Shifting the Research Paradigm

While we don't replace traditional research, we flip the method upside down. Our dual approach of Top Bottom & Bottom Top ensures quality deliverable by not just verifying company fundamentals but also looking at the sector and macroeconomic factors.

Insite
More Insights-Better Decisions

With one step in the future, our research team constantly tries to show you the bigger picture. We help with some of the tough questions you may encounter along the way: How is the industry positioned? Best marketing channel? KPI's of competitors? By aligning every element, we help maximize success.

Trust
Transparency and Trust

Our report gives you instant access to the answers and sources that other companies might choose to hide. We elaborate each steps of research methodology we have used and showcase you the sample size to earn your trust.

support
Round the Clock Support

If you need any support, we are here! We pride ourselves on universe strength, data quality, and quick, friendly, and professional service.

Why Client Choose Us?

400000+ Reports in repository
150+ Consulting project a year
100+ Analysts
8000+ Client Queries in 2022