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Asia Pacific Artificial Intelligence in Agriculture Market Forecast to 2030
Asia Pacific Artificial Intelligence in Agriculture Market Forecast to 2030 – Regional Analysis – by Component (Hardware, Software, and Services) and Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others)
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Description
Potential Growth Opportunities in Developing Countries Boost Asia Pacific Artificial Intelligence in Agriculture Market
Developing countries confront particular issues in agriculture, including limited resources, small landholdings, insufficient water, and a lack of access to technology and credit. Climate change has resulted in increased droughts, floods, and insect infestation. Difficulty in connecting to markets and receiving fair pricing for crops. In response to these challenges, various governments across developing countries are focusing on AI in agriculture. AI has the potential to address these issues while dramatically increasing agricultural output and sustainability in developing countries. Several global organizations are taking various initiatives. For example, AI4AI intends to scale digital agriculture through public-private partnerships and reach one million farmers worldwide by 2027. Under the public-private partnership, the government across the world has taken several steps. For example, the Public-Private Partnerships for Digital Transformation of Agriculture project intends to strengthen policy recommendations for Agriculture 4.0 frameworks using data from pilots established since 2021. The goal is to achieve 100 cases and assess their appropriateness for new crops, such as plantain, cape gooseberry, and palm, in addition to historical crops, including cocoa, coffee, and avocado.
Another example is India, which is focusing on scaling digital agriculture. For example, the Government of India is collaborating with the corporate sector, industry, and farmer organizations. Agri Stack is the government’s digital foundation for bringing multiple stakeholders together to promote agriculture in India and enable improved outcomes and results for farmers through the use of data and digital services. In 2022, India led multi-stakeholder discussions in six working groups to make recommendations on Public-Private Partnerships in Digital Agriculture. Thus, such initiatives by developing economies are anticipated to create several opportunities for AI in agriculture market.
Asia Pacific Artificial Intelligence in Agriculture Market Overview
The Asia Pacific AI in agriculture market is segmented into Australia, India, China, Japan, South Korea, and the Rest of Asia Pacific. According to the theme chapter of the Asian Development Outlook 2021 Update, 76% of the poor people live in rural regions; increasing agricultural output and income is critical to eliminating poverty. Thus, governments across the region are taking initiatives to transform agriculture to make it more climate-proof and modern. For example, in December 2023, China developed its first domestically designed unmanned vertical plant factory in Chengdu. The team at the Institute of Urban Agriculture (IUA) and the Chinese Academy of Agricultural Sciences (CAAS) deployed robots that can produce and harvest a lettuce crop in 35 days. This artificial intelligence-based control system uses cutting-edge technology and algorithms to monitor, analyze, and change important environmental factors within the vertical farming operation.
Several players across the region are taking strategic initiatives such as partnerships and collaborations to provide AI-enabled farming. For example, in November 2022, Syngenta and Plantix, an image recognition company, announced a partnership that to offer AI-enabled digital farming tools to at least half a million smallholder farmers in Asia Pacific. The partnership provides smallholder farmers access to a worldwide database of over 50 crops and 500 illnesses, available via Syngenta’s Cropwise Grower app for farmers. The app harnesses the power of data to safeguard crop yields by providing on-demand advice on agricultural best practices and crop protection solutions. Cropwise Grower uses AI to allow farmers to snap a photo of a crop problem and identify crop pests and illnesses in real-time with 93% accuracy. The Plantix algorithms analyze the image to determine the problem and make a recommendation. Thus, such developments across the Asia Pacific propel the AI in agriculture market.
Asia Pacific Artificial Intelligence in Agriculture Market Revenue and Forecast to 2030 (US$ Million)
Asia Pacific Artificial Intelligence in Agriculture Market Segmentation
The Asia Pacific artificial intelligence in agriculture market is categorized into components, application, and country.
Based on component, the Asia Pacific artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held the largest market share in 2022.
In terms of application, the Asia Pacific artificial intelligence in agriculture market is categorized into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held the largest market share in 2022.
By country, the Asia Pacific artificial intelligence in agriculture market is segmented into Australia, China, India, Japan, South Korea, and the Rest of Asia Pacific. China dominated the Asia Pacific artificial intelligence in agriculture market share in 2022.
Tule Technologies Inc, Deere & Co, International Business Machines Corp, and Microsoft Corp are some of the leading companies operating in the Asia Pacific artificial intelligence in agriculture market.
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According to the Research Team’ research, the Asia Pacific artificial intelligence in agriculture market was valued at US$ 356.33 million in 2022 and is expected to reach US$ 1,876.98 million by 2030, registering a CAGR of 23.1% from 2022 to 2030. Government support for implementation of ai solution and increasing need for real-time analytics in agriculture are among the critical factors attributed to drive the Asia Pacific artificial intelligence in agriculture market growth.
Governments across the world are transforming the agriculture sector to be more efficient, sustainable, and inclusive to ensure food security. Governments around the world encourage the implementation of Al for agricultural applications in order to provide aid to farmers.
The Indian government is taking several steps to digitalize the agriculture sector. In response to agriculture issues, the World Economic Forum’s Artificial Intelligence for Agriculture Innovation (AI4AI) program is being set up to help India’s agricultural transformation by promoting the use of artificial intelligence (AI) and related technologies to develop agriculture. One of the most successful AI4AI implementations is the “Saagu Baagu” pilot in July 2021, which was designed in collaboration with the Telangana State Government in the Khammam area. The program was backed by the Bill & Melinda Gates Foundation and implemented by Digital Green. The project has significantly improved the chili value chain for over 7,000 producers. Thus, such growing government support and initiatives are propelling the growth of AI in the agriculture market.
On the flip side, shortage of technically skilled labor hampers the growth of Asia Pacific artificial intelligence in agriculture market.
Based on component, the Asia Pacific artificial intelligence in agriculture market is categorized into hardware, software, and services. The software segment held 61.2% market share in 2022, amassing US$ 218.18 million. It is projected to garner US$ 1,195.28 million by 2030 to register 23.7% CAGR during 2022-2030.
In terms of application, the Asia Pacific artificial intelligence in agriculture market is segmented into precision farming, drone analytics, agriculture robots, livestock monitoring, and others. The precision farming segment held 41.7% share of Asia Pacific artificial intelligence in agriculture market in 2022, amassing US$ 148.72 million. It is anticipated to garner US$ 762.04 million by 2030 to expand at 22.7% CAGR during 2022-2030.
Based on country, the Asia Pacific artificial intelligence in agriculture market is categorized into Australia, China, India, Japan, South Korea, and the Rest of Asia Pacific. Our regional analysis states that China captured 33.4% share of Asia Pacific artificial intelligence in agriculture market in 2022. It was assessed at US$ 118.89 million in 2022 and is likely to hit US$ 717.32 million by 2030, registering a CAGR of 25.2% during 2022-2030.
Key players operating in the Asia Pacific artificial intelligence in agriculture market are Tule Technologies Inc, Deere & Co, International Business Machines Corp, and Microsoft Corp., among others.
In October 2021, IBM has introduced an environmental intelligence software suite that uses AI to assist organizations in preparing for and responding to climate risks, assessing their environmental impact, and reducing regulatory compliance.
o Highlights key business priorities in order to assist companies to realign their business strategies.
o The key findings and recommendations highlight crucial progressive industry trends in the Asia Pacific artificial intelligence in agriculture market, thereby allowing players across the value chain to develop effective long-term strategies.
o Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
o Scrutinize in-depth Asia Pacific market trends and outlook coupled with the factors driving the Asia Pacific artificial intelligence in agriculture market, as well as those hindering it.
o Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing, and distribution.
1. Introduction
1.1 The the Reporting Teams Research Report Guidance
1.2 Market Segmentation
2. Executive Summary
2.1 Key Insights
2.2 Market Attractiveness
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Artificial Intelligence in Agriculture Market Landscape
4.1 Overview
4.2 PEST Analysis
4.3 Ecosystem Analysis
4.3.1 List of Vendors in the Value Chain
5. Asia Pacific Artificial Intelligence in Agriculture Market – Key Market Dynamics
5.1 Market Drivers
5.1.1 Increasing Need for Real-Time Analytics in Agriculture
5.1.2 Growing Government Support for Implementation of AI Solution
5.1.3 Growing Use of Unmanned Ariel Vehicles (UAVs) in Farming
5.2 Restraints
5.2.1 Shortage of Technically Skilled Labor
5.2.2 High Implementation Cost of AI in Farming Equipment
5.3 Opportunity
5.3.1 Increasing Smart Farming
5.3.2 Potential Growth Opportunities in Developing Countries
5.4 Future Trend
5.4.1 Robotics and Automation in Agriculture
5.5 Impact of Drivers and Restraints:
6. Artificial Intelligence in Agriculture Market – Asia Pacific Market Analysis
6.1 Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
6.2 Artificial Intelligence in Agriculture Market Forecast Analysis
7. Asia Pacific Artificial Intelligence in Agriculture Market Analysis – by Component
7.1 Hardware
7.1.1 Overview
7.1.2 Hardware: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
7.2 Software
7.2.1 Overview
7.2.2 Software: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
7.3 Services
7.3.1 Overview
7.3.2 Services: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8. Asia Pacific Artificial Intelligence in Agriculture Market Analysis – by Application
8.1 Precision Farming
8.1.1 Overview
8.1.2 Precision Farming: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.2 Drone Analytics
8.2.1 Overview
8.2.2 Drone Analytics: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.3 Agriculture Robots
8.3.1 Overview
8.3.2 Agriculture Robots: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.4 Livestock Monitoring
8.4.1 Overview
8.4.2 Livestock Monitoring: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
8.5 Others
8.5.1 Overview
8.5.2 Others: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9. Asia Pacific Artificial Intelligence in Agriculture Market – Country Analysis
9.1 Asia Pacific Artificial Intelligence in Agriculture Market Overview
9.1.1 Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast Analysis – by Country
9.1.1.1 Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast Analysis – by Country
9.1.1.2 China: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.2.1 China: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.2.2 China: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.3 Japan: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.3.1 Japan: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.3.2 Japan: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.4 India: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.4.1 India: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.4.2 India: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.5 Australia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.5.1 Australia: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.5.2 Australia: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.6 South Korea: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.6.1 South Korea: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.6.2 South Korea: Artificial Intelligence in Agriculture Market Breakdown, by Application
9.1.1.7 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
9.1.1.7.1 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Component
9.1.1.7.2 Rest of Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Application
10. Competitive Landscape
10.1 Heat Map Analysis by Key Players
10.2 Company Positioning & Concentration
11. Industry Landscape
11.1 Overview
11.2 Market Initiative
11.3 Product Development
11.4 Mergers & Acquisitions
12. Company Profiles
12.1 Deere & Co
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Products and Services
12.1.4 Financial Overview
12.1.5 SWOT Analysis
12.1.6 Key Developments
12.2 International Business Machines Corp
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Products and Services
12.2.4 Financial Overview
12.2.5 SWOT Analysis
12.2.6 Key Developments
12.3 Microsoft Corp
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Products and Services
12.3.4 Financial Overview
12.3.5 SWOT Analysis
12.3.6 Key Developments
12.4 Tule Technologies Inc
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Products and Services
12.4.4 Financial Overview
12.4.5 SWOT Analysis
12.4.6 Key Developments
13. Appendix
13.1 Word Index
13.2 About The the Reporting Teams
Table 1. Artificial Intelligence in Agriculture Market Segmentation
Table 2. List of Vendors
Table 3. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Table 4. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 5. Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 6. Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Country
Table 7. China: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 8. China: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 9. Japan: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 10. Japan: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 11. India: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 12. India: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 13. Australia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 14. Australia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 15. South Korea: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 16. South Korea: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 17. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Component
Table 18. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million) – by Application
Table 19. Company Positioning & Concentration
Table 20. List of Abbreviation
Figure 1. Artificial Intelligence in Agriculture Market Segmentation, by Country
Figure 2. PEST Analysis
Figure 3. Artificial Intelligence in Agriculture Market – Key Market Dynamics
Figure 4. Impact Analysis of Drivers and Restraints
Figure 5. Artificial Intelligence in Agriculture Market Revenue (US$ Million), 2020-2030
Figure 6. Artificial Intelligence in Agriculture Market Share (%) – by Component (2022 and 2030)
Figure 7. Hardware: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 8. Software: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 9. Services: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 10. Artificial Intelligence in Agriculture Market Share (%) – by Application (2022 and 2030)
Figure 11. Precision Farming: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 12. Drone Analytics: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 13. Agriculture Robots: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 14. Livestock Monitoring: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 15. Others: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 16. Asia Pacific: Artificial Intelligence in Agriculture Market, by Key Country – Revenue (2022) (US$ Million)
Figure 17. Asia Pacific: Artificial Intelligence in Agriculture Market Breakdown, by Key Countries, 2022 and 2030 (%)
Figure 18. China: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 19. Japan: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 20. India: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 21. Australia: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 22. South Korea: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 23. Rest of Asia Pacific: Artificial Intelligence in Agriculture Market – Revenue and Forecast to 2030 (US$ Million)
Figure 24. Heat Map Analysis by Key Players
The List of Companies – Asia Pacific Artificial Intelligence in Agriculture Market
1. Tule Technologies Inc
2. Deere & Co
3. International Business Machines Corp
4. Microsoft Corp
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