Artificial Intelligence (AI) in Agriculture Market Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Hardware, Software, and Services); Application (Precision Farming, Drone A

Artificial Intelligence (AI) in Agriculture Market Size and Forecast (2020 - 2030), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Hardware, Software, and Services); Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, and Others); and Geography (North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America)

The artificial intelligence (AI) in agriculture market size was valued at the market was valued at US$ 1.63 billion in 2022 and is expected to reach US$ 7.97 billion by 2030; it is estimated to record a CAGR of 21.9% from 2022 to 2030.

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 artificial intelligence (AI) in agriculture market growth.

Tule Technologies Inc, Precisionhawk Inc, Easytosee Agtech Sl, Deere & Co, Climate LLC, Gamaya Sa, International Business Machines Corp, Microsoft Corp, Prospera Technologies Ltd, And Taranis are among the prominent players profiled in the artificial intelligence (AI) in agriculture market report. The overall artificial intelligence (AI) in agriculture market has been derived using both primary and secondary sources. Exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the artificial intelligence (AI) in agriculture market. The process also helps obtain an overview and forecast of the market with respect to all the market segments. Also, multiple primary interviews have been conducted with industry participants to validate the data and gain analytical insights. This process includes industry experts such as VPs, business development managers, market intelligence managers, and national sales managers, along with external consultants such as valuation experts, research analysts, and key opinion leaders, specializing in the market. The artificial intelligence (AI) in agriculture market forecast is estimated on the basis of various secondary and primary research findings such as key company publications, association data, and databases.


Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the artificial intelligence (AI) in agriculture market.
Highlights key business priorities in order to assist companies to realign their business strategies
The key findings and recommendations such as specific country and segmental insight highlights crucial progressive industry trends in the artificial intelligence (AI) in agriculture market, thereby allowing players across the value chain to develop effective long-term strategies.
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
Scrutinize in-depth market trends and outlook coupled with the factors driving the market, as well as those hindering it
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution

Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the artificial intelligence (AI) in agriculture market.
Highlights key business priorities in order to assist companies to realign their business strategies
The key findings and recommendations such as specific country and segmental insight highlights crucial progressive industry trends in the artificial intelligence (AI) in agriculture market, thereby allowing players across the value chain to develop effective long-term strategies.
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
Scrutinize in-depth market trends and outlook coupled with the factors driving the market, as well as those hindering it
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution