Artificial Intelligence (AI) in Precision Farming Market, Global Outlook and Forecast 2023-2028

Report ID: 1212353 | Published Date: Jan 2025 | No. of Page: 106 | Base Year: 2024 | Rating: 4.8 | Webstory: Check our Web story
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This report contains market size and forecasts of Artificial Intelligence (AI) in Precision Farming in Global, including the following market information:
Global Artificial Intelligence (AI) in Precision Farming Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Artificial Intelligence (AI) in Precision Farming market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Machine Learning Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence (AI) in Precision Farming include Microsoft, IBM, Intel, SAP, Agribotix, The Climate Corporation, Taranis, aWhere and Precision Hawk, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Artificial Intelligence (AI) in Precision Farming 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 (AI) in Precision Farming Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Artificial Intelligence (AI) in Precision Farming Market Segment Percentages, by Type, 2021 (%)
Machine Learning
Computer Vision
Others
Global Artificial Intelligence (AI) in Precision Farming Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Artificial Intelligence (AI) in Precision Farming Market Segment Percentages, by Application, 2021 (%)
Experimental Study
Farm Management
Private Planting
Other
Global Artificial Intelligence (AI) in Precision Farming Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Artificial Intelligence (AI) in Precision Farming Market Segment Percentages, By Region and Country, 2021 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence (AI) in Precision Farming revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies Artificial Intelligence (AI) in Precision Farming revenues share in global market, 2021 (%)
Further, the report presents profiles of competitors in the market, key players include:
Microsoft
IBM
Intel
SAP
Agribotix
The Climate Corporation
Taranis
aWhere
Precision Hawk
DTN
Resson
Vision Robotics
CropX
John Deere
Gamaya
Cainthus
Harvest Croo Robotics

Frequently Asked Questions
Artificial Intelligence in Precision Farming Market report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
Artificial Intelligence in Precision Farming Market report is categorised based on following features:
  1. Global Market Players
  2. Geopolitical regions
  3. Consumer Insights
  4. Technological advancement
  5. Historic and Future Analysis of the Market
Artificial Intelligence in Precision Farming Market report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.

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