Global Artificial Intelligence (AI) in Agriculture Market Research Report 2023
SKU ID : QYR-23310081 | Publishing Date : 27-Mar-2023
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.
Highlights
The global Artificial Intelligence (AI) in Agriculture market was valued at US$ 681.7 million in 2022 and is anticipated to reach US$ 1695.5 million by 2029, witnessing a CAGR of 16.4% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) 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 (AI) in Agriculture.
The Artificial Intelligence (AI) in Agriculture market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) in Agriculture market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Agriculture companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Frequently Asked Questions
- By product type
- By End User/Applications
- By Technology
- By Region