Global AI in Agriculture Market by Offerings (Hardware, Software and Services); By Technology (Machine Learning, Predictive Analytics and Computer Vision); By Application (Livestock Monitoring Application, Precision Farming Application, Agriculture Robots Application, Drone Analytics Application and Others); By Region (North America, Latin America, Europe, Asia-Pacific and Middle-East & Africa) - Analysis of market share, size & trends for 2016-19 and forecasts to 2030
Global AI in Agriculture Market by Offerings (Hardware, Software and Services); By Technology (Machine Learning, Predictive Analytics and Computer Vision); By Application (Livestock Monitoring Application, Precision Farming Application, Agriculture Robots Application, Drone Analytics Application and Others); By Region (North America, Latin America, Europe, Asia-Pacific and Middle-East & Africa) - Analysis of market share, size & trends for 2016-19 and forecasts to 2030
Product Overview
Artificial Intelligence in Agriculture uses modern and innovative agricultural technologies to improve productivity and yield to deliver better and more efficient farming services. Using specific equipment such as the Internet of Thing models, sensors and actuators, geo-positioning systems, Unmanned Aerial Vehicles (UAVs or drones), robotics & fertilizers, irrigation management, and so on, farmers can advance their production and harvest by controlling pests, increasing productivity, monitoring the soil quality while reducing the time, energy and work needed for these tasks. Artificial Intelligence in agriculture helps and assists in evaluating and taking decisions to boost crop growth and production. In agriculture, artificial intelligence has a variety of uses, including agricultural automation, digital water network systems, face recognition, and tractors without a driver.
Market Highlights
Global Artificial Intelligence in Agriculture Market is estimated to grow from USD 893.43 million in 2019 to USD 8342.37 million in 2030 with a CAGR of 22.52%. Factors such as growing stress on the food supply chain due to exponentially increasing population, rising implementation of the Internet of Things in the agricultural sector, improving the standard of living, growing focus on enhanced crop monitoring, and increased demand for higher agricultural yield, are driving growth in the artificial intelligence market. Moreover, limited land for agriculture coupled with supportive government policies to encourage the use of AI technologies is anticipated to fuel the market growth.
Global Artificial Intelligence in Agriculture Market: Segments
Software offerings are anticipated to be the fastest-growing over 2020-2030
Based on offerings, the global AI in Agriculture Market is segmented into hardware, software, and services. The software segment captured a significant share in 2019 and is projected to have the highest CAGR during the forecast period. The convergence of digital technology with agriculture techniques, increased adoption of automation and control systems, such as GPS / GNSS receivers, irrigation controls, guidance & steering systems, and the demand for database management systems has created a new approach to farming practices that stimulates market growth.
Global Artificial Intelligence in Agriculture Market: Market Dynamics
Drivers
Rising demand for Agricultural Produce
Growing global demand for food, farmers need to increase crop production either by increasing the amount of agricultural land or by adopting advanced agricultural methods such as precision farming. Another major factor that has prompted farmers to implement digital farming solutions in their farms to boost the productivity of agricultural land is the increased demand for quality crops that meet the increasing requirements of grains and plants.
Restraints
High Equipment Cost
Some of the factors limiting the growth of Artificial Intelligence in the agriculture market are the high cost of devices used in Artificial Intelligence in agriculture and the lack of awareness among farmers. High costs incurred in the production of Artificial Intelligence in agricultural equipment, in turn, increase the price of the final product, which is likely to restrict the growth of the market over the forecast period.
Global Artificial Intelligence in Agriculture Market: Region
Global Artificial Intelligence in Agriculture market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia-Pacific, and the rest of the world is classified as Middle-East and Africa.
North America to register a remarkable CAGR during the forecast period
Owing to the concentration of leading industrial automation players and the introduction of artificial intelligence technologies in North America, the share in 2019 accounted for more than other regions. North America is marked by an enhanced standard of living of the people, continuous technological investments, major IoT investments, and growing policy emphasis on the development of in-house AI equipment. These factors are likely to boost growth shortly.
Key Players
Microsoft Corporation
o Company overview
o Business Strategy
o Key Product Offerings
o Financial Performance
o Key Performance Indicators
o Risk Analysis
o Recent Development
o Regional Presence
o SWOT Analysis
Precision Hawk
Deere & Company
The Climate Corporation
International Business Machines Corp.
Farmers Edge Inc.
AgEagle Aerial Systems
Gamaya Inc
Descartes Lab Inc.
Prospera Technologies
Global Artificial Intelligence in Agriculture Market Report also contains an analysis of:
Artificial Intelligence in Agriculture Market by segment:
By Offering
o Hardware
o Software
o Services
By Application
o Livestock Monitoring Application
o Precision Farming Application
o Agriculture Robots Application
o Drone Analytics Application
o Others
Contents
1. Executive Summary
2. Global AI in Agriculture Market
1. Product Overview
2. Market Definition
3. Segmentation
4. Assumptions and Acronyms
3. Research Methodology
1. Research Objectives
2. Primary Research
3. Secondary Research
4. Forecast Model
5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
1. Growth Drivers
2. Restraints
3. Opportunity
4. Trends
7. Correlation & Regression Analysis
1. Correlation Matrix
2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
1. Demand Risk Analysis
2. Supply Risk Analysis
10. Global AI in Agriculture Market Analysis
1. Porters Five Forces
1. Threat of New Entrants
2. Bargaining Power of Suppliers
3. Threat of Substitutes
4. Rivalry
2. PEST Analysis
1. Political
2. Economic
3. Social
4. Technological
11. Global AI in Agriculture Market
1. Market Size & forecast, 2019A-2030F
1. By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. By Volume (Million Units) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
12. Global AI in Agriculture Market: Market Segmentation
1. By Regions
1. North America:(U.S. and Canada)
By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. Europe: (Brazil, Mexico, Argentina, Rest of Latin America)
By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
3. Asia-Pacific: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe)
By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
4. LATAM: (Brazil, South Africa, Saudi Arabia, U.A.E., and Other Countries)
By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
5. MEA: (Brazil, South Africa, Saudi Arabia, U.A.E., and Other Countries)
By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. By Type: Market Share (2020-2030F)
1. Product,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. Service,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
3. By Technology: Market Share (2020-2030F)
1. Machine Learning,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. Computer Vision,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
3. Predictive Analytics,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
4. By Application: Market Share (2020-2030F)
1. Precision Farming,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
2. Agricultural Robots,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
3. Livestock Monitoring,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
4. Drone Analytics,By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
1. Company Profile
1. International Business Machines (IBM) Corporation
1. Company Overview
2. Company Total Revenue (Financials)
3. Market Potential
4. Global Presence
5. Key Performance Indicators
6. SWOT Analysis
7. Product Launch
2. Microsoft Corporation
3. Bayer AG
4. Deere & Company
5. A.A.A Taranis Visual Ltd.
6. AgEagle Aerial Systems Inc.
7. AGCO Corporation
8. Raven Industries Inc.
9. Ag Leader Technology
10. Trimble Inc.
11. Google LLC
12. Gamaya SA
13. Granular Inc.
14. Other Prominent Players
2. Consultant Recommendation
**The above-given segmentation and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
Historical Data (2015-2019) |
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Influencing Factors |
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Market Forecast (2021-2026) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
Market Size |
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Market Position of Top Company |
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Qualitative Analysis |
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
Primary Sources | Parameters | Key Data |
Market Segments(by Application, by Type) |
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Total Market |
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