TOP CATEGORY: Chemicals & Materials | Life Sciences | Banking & Finance | ICT Media
Download Report PDF Instantly
Report overview
The global Artificial Intelligence in Agriculture market was valued at US$ 595.5 million in 2022 and is projected to reach US$ 740.2 million by 2029, at a CAGR of 3.2% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.
Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Agriculture. This report contains market size and forecasts of Artificial Intelligence in Agriculture in global, including the following market information:
Global Artificial Intelligence in Agriculture Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
Artificial Intelligence (AI) in Agriculture is mainly used for three applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others. And Precision Farming was the most widely used area which took up about 35% of the global total.
United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture. North America market took up about 45% the global market, while Europe was about 24%.
IBM, Granular, John Deere, The Climate Corporation and Vision Robotics are the key suppliers in the global Artificial Intelligence (AI) in Agriculture market. Top 5 took up about 46% of the global market.
We surveyed the Artificial Intelligence in Agriculture companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence in Agriculture Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Agriculture Market Segment Percentages, by Type, 2022 (%)
Global Artificial Intelligence in Agriculture Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Agriculture Market Segment Percentages, by Application, 2022 (%)
Global Artificial Intelligence in Agriculture Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Artificial Intelligence in Agriculture Market Segment Percentages, By Region and Country, 2022 (%)
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence in Agriculture, market overview.
Chapter 2: Global Artificial Intelligence in Agriculture market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence in Agriculture company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Artificial Intelligence in Agriculture in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
