Product Code: AGA0780SC
Global Artificial Intelligence in Agriculture Market to Reach $4,096.1 Million by 2027
Artificial Intelligence in Agriculture Market Industry Overview
The global artificial intelligence in agriculture market was valued at $1,517.0 million in 2022 and is expected to reach $4,096.1 million in 2027, following a CAGR of 21.98% during 2022-2027. Owing to the growing demand for food and grains, the growth in the artificial intelligence in agriculture market is expected to be driven by the increasing adoption of digital and smart agriculture equipment and technologies.
Market Lifecycle Stage
The artificial intelligence in agriculture market is in a growing phase. Immense corporate investments and research and development activities are underway to develop artificial intelligence in agriculture, which are expected to increase due to the growing need for agriculture optimization backed by the incorporation of emerging technologies.
New entrants are penetrating the market backed up by government funding and corporate investments, which is one of the major opportunities in the global artificial intelligence in agriculture market. Moreover, artificial intelligence in agriculture also help in enhancing yield quality due to the timely detection of pest infestation and diseases. Artificial intelligence in agriculture also facilitates the safe and quality harvesting and picking of harvests, thus preventing crop losses and damages.
Impact
- With an increased worldwide demand for improved qualities of foods and grains, the shift to digital, smart, and data-driven equipment in the agriculture sector brings significant sales and financing opportunities. The shift is more prominent in regions such as Europe and North America.
- Furthermore, artificial intelligence in agriculture has a moderate to high impact on pest detection and crop scouting operations through timely and efficient detection of pests and diseases at the plant level.
Impact of Ukraine-Russia Crisis
The market for technologies in the agriculture sector, including AI-enabled, is facing a negative impact due to Ukraine-Russia tensions. The two countries are blessed with extensive technological and agricultural benefits. The tensions are leading the AI-technology providers and start-ups to reach out to markets other than the two countries. Many start-ups in the global artificial intelligence in agriculture market have staged their pilot projects in Ukraine and Russia before commercially launching their products. Similarly, many companies find Ukraine and Russia suitable for agricultural technology testing and trials owing to the presence of different varieties of crops and high adoption rates among farmers.
Market Segmentation:
Segmentation 1: by Application
- Yield Optimization
- Data Analytics
- Livestock Monitoring
- Aquaculture Management
Segmentation 2: by Mode of Deployment
- On-Cloud Deployment
- On-Premises Deployment
- Edge Deployment
- Hybrid Deployment
Segmentation 3: by Product Type
- Application Programming Interface (API)
- User Interface (UI)
Segmentation 4: by Region
- North America - U.S., Canada, Mexico, and Rest-of-North America
- South America - Brazil, Argentina, and Rest-of-South America
- Europe - Italy, Germany, Netherlands, France, Belgium, Switzerland, Greece, Ukraine, Spain, and Rest-of-Europe
- U.K.
- China
- Asia-Pacific - Japan, India, Australia, and Rest-of-Asia-Pacific
- Middle East and Africa - Turkey, Israel, South Africa, and Rest-of- Middle East and Africa
Recent Developments in the Global Artificial Intelligence in Agriculture Market
- In May 2021, Robert Bosch GmBH unveiled its new Artificial Intelligence based IoT platform to keep real time track of energy consumption, electrical parameters in healthcare, agriculture, and other sectors.
- In February 2019, Ceres Imaging developed and launched its Center-Pivot Analytics Suite, a full-service imagery solution designed specifically for center-pivot irrigated row crops.
- In February 2022, Plantix expanded its market presence in the Asia-Pacific region by launching its product, Plantix Vision API in Bangladesh.
- In February 2021, Microsoft Corporation launched its business expansion in Indonesia to support agricultural sector there in.
- In May 2021, Valmont Industries acquired Prospera Industries for $300 million to establish greater returns for mutual customer farmers.
- In February 2021, DeHaat acquired Farm Guide, a data science start-up to further enhance its advisory and market services.
- In December 2021, Connecterra B.V. collaborated with Lely. With this collaboration, Lely aimed to use Connecterra B.V.'s advancements in machine learning and artificial intelligence to provide more insights to farmers. Also, the technologies aid in integrating farm technologies with sensors enabled with artificial intelligence for developing farm management systems.
- In May 2022, Taranis expanded its partnership with DJI and DroneNerds.com in the United States. To make more intelligent data-driven decisions, the collaboration will take advantage of cutting-edge AI and drone technologies.
Demand - Drivers and Limitations
Following are the demand drivers for the global artificial intelligence in agriculture market:
- Surging Need for Automation in Agriculture
- Increased Farmland Consolidation and Large Farm Size
The market is expected to face some limitations as well due to the following challenges:
- Data Ownership and Privacy Concerns
- Technical Constraints of Implementation and Maintenance
How can this report add value to an organization?
Product/Innovation Strategy: The product segment helps the reader understand the different types of artificial intelligence modes of deployment and product types available for deployment in the agriculture sector and their potential globally.
Growth/Marketing Strategy: The artificial intelligence in agriculture market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favoured strategy for the companies has been product partnerships, joint ventures, and product launches to strengthen their position in the global artificial intelligence in agriculture market. For instance, in February 2019, CNH Industrial N.V. launched an Advanced Farming Systems (AFS) Connect platform for farm, fleet, and data management.
Competitive Strategy: Key players in the artificial intelligence in agriculture market analyzed and profiled in the study involve artificial intelligence in agriculture manufacturers. Moreover, a detailed competitive benchmarking of the players operating in the artificial intelligence in agriculture market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analysing company coverage, product portfolio, and market penetration.
Some manufacturing companies with a global presence include Microsoft Corporation, Climate LLC, CNH Industrial N.V., Deere & Company, and IBM Corporation among others. Collectively these companies account for approximately 42.90% of the total global artificial intelligence in agriculture market. Other 57.10% of the market share is dominated by Aquabyte, Ceres Imaging, Taranis, and CropIn Technology Solutions Pvt Ltd. among others.
Key Companies Profiled
- Alibaba Group Holding Limited
- Aquabyte
- Ceres Imaging
- Climate LLC
- CNH Industrial N.V.
- Connecterra B.V.
- CropIn Technology Solutions
- Deere & Company
- DJI
- Granular Inc.
- IBM Corporation
- Microsoft Corporation
- PrecisionHawk, Inc.
- Plantix
- XPERTSEA
- Agrible
- Prospera Technologies
- Taranis
- UMITRON
- Wolkus Technology Solutions Private Limited (Fasal)
Table of Contents
1 Markets
- 1.1 Industry Outlook
- 1.1.1 Market Definition
- 1.1.2 Ecosystem/Ongoing Programs
- 1.1.2.1 Consortiums and Associations
- 1.1.2.2 Regulatory Bodies
- 1.1.2.3 Government Initiatives
- 1.2 Business Dynamics
- 1.2.1 Business Drivers
- 1.2.1.1 Surging Need for Automation in Agriculture
- 1.2.1.1.1 Implementation of Advanced Technologies in Agriculture
- 1.2.1.1.2 Need to Increase Field Productivity
- 1.2.1.1.3 Aging Workforce
- 1.2.1.1.4 Increasing Labor Prices
- 1.2.1.2 Increased Farmland Consolidation and Large Farm Size
- 1.2.2 Business Challenges
- 1.2.2.1 Data Ownership and Privacy Concerns
- 1.2.2.1.1 Lack of Standardization
- 1.2.2.2 Technical Constraints of Implementation and Maintenance
- 1.2.3 Market Strategies and Developments
- 1.2.3.1 Product Developments
- 1.2.3.2 Business Developments
- 1.2.4 Corporate Strategies
- 1.2.4.1 Mergers and Acquisitions
- 1.2.4.2 Partnerships, Collaborations, and Joint Ventures
- 1.2.5 Investments
- 1.2.5.1 Snapshot of Corporate Strategies Adopted by the key Players in the Market
- 1.2.6 Business Opportunities
- 1.2.6.1 Government Initiatives to Promote Digital Agriculture
- 1.2.6.2 Emerging Complexities in Data-Driven Farming
- 1.2.6.3 Variable-Rate Technology through AI
- 1.2.7 Case Study
- 1.2.7.1 Ceres Imaging in Data Analytics
- 1.2.7.2 CropIn Technology Solutions in Yield Optimization
- 1.2.7.3 Connecterra B.V. in Livestock Monitoring
- 1.2.7.4 Aquabyte in Aquaculture Management
- 1.3 Investment Landscape
- 1.4 Impact of Ukraine-Russia Crisis on the Global Artificial Intelligence in Agriculture Market
2 Application
- 2.1 Global Artificial Intelligence in Agriculture Market (by Application)
- 2.1.1 Yield Optimization
- 2.1.1.1 AI for Pest and Disease Detection
- 2.1.1.2 AI for Yield Prediction
- 2.1.1.3 AI for Space and Resource Utilization
- 2.1.2 Data Analytics
- 2.1.3 Livestock Monitoring
- 2.1.4 Aquaculture Management
- 2.2 Demand Analysis of the Global Artificial Intelligence in Agriculture Market (by Application)
3 Products
- 3.1 Global Artificial Intelligence in Agriculture Market (by Product)
- 3.1.1 Global Artificial Intelligence in Agriculture Market (by Mode of Deployment)
- 3.1.1.1 On-Cloud Deployment
- 3.1.1.2 On-Premises Deployment
- 3.1.1.3 Edge Deployment
- 3.1.1.4 Hybrid Deployment
- 3.1.2 Global Artificial Intelligence in Agriculture Market (by Product Type)
- 3.1.2.1 Application Programming Interface (API)
- 3.1.2.2 User Interface (UI)
- 3.2 Demand Analysis of the Global Artificial Intelligence in Agriculture Market (by Product)
- 3.2.1 Demand Analysis of the Global Artificial Intelligence in Agriculture Market (by Mode of Deployment)
- 3.2.2 Demand Analysis of the Global Artificial Intelligence in Agriculture Market (by Product Type)
- 3.3 Supply Chain Analysis
- 3.4 Patent Analysis
- 3.4.1 Patent Analysis (by Status)
- 3.4.2 Patent Analysis (by Inventor Type)
- 3.4.3 Patents Analysis (by Patent Office)
4 Regions
- 4.1 North America
- 4.1.1 Market
- 4.1.1.1 Key Artificial Intelligence in Agriculture Providers in North America
- 4.1.1.2 Business Challenges
- 4.1.1.3 Business Drivers
- 4.1.2 Application
- 4.1.2.1 North America Artificial Intelligence in Agriculture Market (by Application)
- 4.1.3 Product
- 4.1.3.1 North America Artificial Intelligence in Agriculture Market (by Product)
- 4.1.3.1.1 North America Artificial Intelligence in Agriculture Market (by Mode of Deployment)
- 4.1.3.1.2 North America Artificial Intelligence in Agriculture Market (by Product Type)
- 4.1.4 North America (by Country)
- 4.1.4.1 North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2021-2027
- 4.1.4.2 U.S.
- 4.1.4.2.1 Market
- 4.1.4.2.1.1 Buyer Attributes
- 4.1.4.2.1.2 Business Challenges
- 4.1.4.2.1.3 Business Drivers
- 4.1.4.2.2 Application
- 4.1.4.2.2.1 U.S. Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.1.4.2.3 Product
- 4.1.4.2.3.1 U.S. Artificial Intelligence in Agriculture Market (by Product)
- 4.1.4.2.3.1.1 U.S. Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.1.4.2.3.1.2 U.S. Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.1.4.3 Canada
- 4.1.4.3.1 Market
- 4.1.4.3.1.1 Buyer Attributes
- 4.1.4.3.1.2 Business Challenges
- 4.1.4.3.1.3 Business Drivers
- 4.1.4.3.2 Application
- 4.1.4.3.2.1 Canada Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.1.4.3.3 Product
- 4.1.4.3.3.1 Canada Artificial Intelligence in Agriculture Market (by Product)
- 4.1.4.3.3.1.1 Canada Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.1.4.3.3.1.2 Canada Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.1.4.4 Mexico
- 4.1.4.4.1 Market
- 4.1.4.4.1.1 Buyer Attributes
- 4.1.4.4.1.2 Business Challenges
- 4.1.4.4.1.3 Business Drivers
- 4.1.4.4.2 Application
- 4.1.4.4.2.1 Mexico Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.1.4.4.3 Product
- 4.1.4.4.3.1 Mexico Artificial Intelligence in Agriculture Market (by Product)
- 4.1.4.4.3.1.1 Mexico Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.1.4.4.3.1.2 Mexico Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.1.4.5 Rest-of-North America
- 4.1.4.5.1 Market
- 4.1.4.5.1.1 Buyer Attributes
- 4.1.4.5.1.2 Business Challenges
- 4.1.4.5.1.3 Business Drivers
- 4.1.4.5.2 Application
- 4.1.4.5.2.1 Rest-of-North America Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.1.4.5.3 Product
- 4.1.4.5.3.1 Rest-of-North America Artificial Intelligence in Agriculture Market (by Product)
- 4.1.4.5.3.1.1 Rest-of-North America Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.1.4.5.3.1.2 Rest-of-North America Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.2 South America
- 4.2.1 Market
- 4.2.1.1 Key Artificial Intelligence (AI) in Agriculture Providers in South America
- 4.2.1.2 Business Challenges
- 4.2.1.3 Business Drivers
- 4.2.2 Application
- 4.2.2.1 South America Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.2.3 Product
- 4.2.3.1 South America Artificial Intelligence in Agriculture Market (by Product)
- 4.2.3.1.1 South America Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.2.3.1.2 South America Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.2.4 South America (by Country)
- 4.2.4.1 South America Artificial Intelligence in Agriculture Market (by Country), $Million, 2021-2027
- 4.2.4.2 Brazil
- 4.2.4.2.1 Market
- 4.2.4.2.1.1 Buyer Attributes
- 4.2.4.2.1.2 Business Challenges
- 4.2.4.2.1.3 Business Drivers
- 4.2.4.2.2 Application
- 4.2.4.2.2.1 Brazil Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.2.4.2.3 Product
- 4.2.4.2.3.1 Brazil Artificial Intelligence in Agriculture Market (by Product)
- 4.2.4.2.3.1.1 Brazil Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.2.4.2.3.1.2 Brazil Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.2.4.3 Argentina
- 4.2.4.3.1 Market
- 4.2.4.3.1.1 Buyer Attributes
- 4.2.4.3.1.2 Business Challenges
- 4.2.4.3.1.3 Business Drivers
- 4.2.4.3.2 Application
- 4.2.4.3.2.1 Argentina Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.2.4.3.3 Product
- 4.2.4.3.3.1 Argentina Artificial Intelligence in Agriculture Market (by Product)
- 4.2.4.3.3.1.1 Argentina Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.2.4.3.3.1.2 Argentina Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.2.4.4 Rest-of-South America
- 4.2.4.4.1 Market
- 4.2.4.4.1.1 Buyer Attributes
- 4.2.4.4.1.2 Business Challenges
- 4.2.4.4.1.3 Business Drivers
- 4.2.4.4.2 Application
- 4.2.4.4.2.1 Rest-of-South America Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.2.4.4.3 Product
- 4.2.4.4.3.1 Rest-of-South America Artificial Intelligence in Agriculture Market (by Product)
- 4.2.4.4.3.1.1 Rest-of-South America Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.2.4.4.3.1.2 Rest-of-South America Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3 Europe
- 4.3.1 Market
- 4.3.1.1 Key Artificial Intelligence (AI) in Agriculture Providers in Europe
- 4.3.1.2 Business Challenges
- 4.3.1.3 Business Drivers
- 4.3.2 Application
- 4.3.2.1 Europe Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.3 Product
- 4.3.3.1 Europe Artificial Intelligence in Agriculture Market (by Product)
- 4.3.3.1.1 Europe Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.3.1.2 Europe Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4 Europe (by Country)
- 4.3.4.1 Europe Artificial Intelligence in Agriculture Market (by Country), $Million, 2021-2027
- 4.3.4.2 Germany
- 4.3.4.2.1 Market
- 4.3.4.2.1.1 Buyer Attributes
- 4.3.4.2.1.2 Business Challenges
- 4.3.4.2.1.3 Business Drivers
- 4.3.4.2.2 Application
- 4.3.4.2.2.1 Germany Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.2.3 Product
- 4.3.4.2.3.1 Germany Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.2.3.1.1 Germany Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.2.3.1.2 Germany Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.3 France
- 4.3.4.3.1 Market
- 4.3.4.3.1.1 Buyer Attributes
- 4.3.4.3.1.2 Business Challenges
- 4.3.4.3.1.3 Business Drivers
- 4.3.4.3.2 Application
- 4.3.4.3.2.1 France Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.3.3 Product
- 4.3.4.3.3.1 France Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.3.3.1.1 France Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.3.3.1.2 France Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.4 Netherlands
- 4.3.4.4.1 Market
- 4.3.4.4.1.1 Buyer Attributes
- 4.3.4.4.1.2 Business Challenges
- 4.3.4.4.1.3 Business Drivers
- 4.3.4.4.2 Application
- 4.3.4.4.2.1 Netherlands Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.4.3 Product
- 4.3.4.4.3.1 Netherlands Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.4.3.1.1 Netherlands Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.4.3.1.2 Netherlands Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.5 Greece
- 4.3.4.5.1 Market
- 4.3.4.5.1.1 Buyer Attributes
- 4.3.4.5.1.2 Business Challenges
- 4.3.4.5.1.3 Business Drivers
- 4.3.4.5.2 Application
- 4.3.4.5.2.1 Greece Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.5.3 Product
- 4.3.4.5.3.1 Greece Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.5.3.1.1 Greece Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.5.3.1.2 Greece Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.6 Belgium
- 4.3.4.6.1 Market
- 4.3.4.6.1.1 Buyer Attributes
- 4.3.4.6.1.2 Business Challenges
- 4.3.4.6.1.3 Business Drivers
- 4.3.4.6.2 Application
- 4.3.4.6.2.1 Belgium Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.6.3 Product
- 4.3.4.6.3.1 Belgium Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.6.3.1.1 Belgium Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.6.3.1.2 Belgium Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.7 Switzerland
- 4.3.4.7.1 Market
- 4.3.4.7.1.1 Buyer Attributes
- 4.3.4.7.1.2 Business Challenges
- 4.3.4.7.1.3 Business Drivers
- 4.3.4.7.2 Application
- 4.3.4.7.2.1 Switzerland Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.7.3 Product
- 4.3.4.7.3.1 Switzerland Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.7.3.1.1 Switzerland Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.7.3.1.2 Switzerland Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.8 Ukraine
- 4.3.4.8.1 Market
- 4.3.4.8.1.1 Buyer Attributes
- 4.3.4.8.1.2 Business Challenges
- 4.3.4.8.1.3 Business Drivers
- 4.3.4.8.2 Application
- 4.3.4.8.2.1 Ukraine Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.8.3 Product
- 4.3.4.8.3.1 Ukraine Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.8.3.1.1 Ukraine Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.8.3.1.2 Ukraine Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.9 Italy
- 4.3.4.9.1 Market
- 4.3.4.9.1.1 Buyer Attributes
- 4.3.4.9.1.2 Business Challenges
- 4.3.4.9.1.3 Business Drivers
- 4.3.4.9.2 Application
- 4.3.4.9.2.1 Italy Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.9.3 Product
- 4.3.4.9.3.1 Italy Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.9.3.1.1 Italy Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.9.3.1.2 Italy Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.10 Spain
- 4.3.4.10.1 Market
- 4.3.4.10.1.1 Buyer Attributes
- 4.3.4.10.1.2 Business Challenges
- 4.3.4.10.1.3 Business Drivers
- 4.3.4.10.2 Application
- 4.3.4.10.2.1 Spain Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.10.3 Product
- 4.3.4.10.3.1 Spain Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.10.3.1.1 Spain Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.10.3.1.2 Spain Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.3.4.11 Rest-of-Europe
- 4.3.4.11.1 Market
- 4.3.4.11.1.1 Buyer Attributes
- 4.3.4.11.1.2 Business Challenges
- 4.3.4.11.1.3 Business Drivers
- 4.3.4.11.2 Application
- 4.3.4.11.2.1 Rest-of-Europe Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.3.4.11.3 Product
- 4.3.4.11.3.1 Rest-of-Europe Artificial Intelligence in Agriculture Market (by Product)
- 4.3.4.11.3.1.1 Rest-of-Europe Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.3.4.11.3.1.2 Rest-of-Europe Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.4 U.K.
- 4.4.1 Market
- 4.4.1.1 Buyer Attributes
- 4.4.1.2 Business Challenges
- 4.4.1.3 Business Drivers
- 4.4.2 Application
- 4.4.2.1 U.K. Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.4.3 Product
- 4.4.3.1 U.K. Artificial Intelligence in Agriculture Market (by Product)
- 4.4.3.1.1 U.K. Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.4.3.1.2 U.K. Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.5 Middle East and Africa
- 4.5.1 Market
- 4.5.1.1 Key Artificial Intelligence (AI) in Agriculture Providers in the Middle East and Africa
- 4.5.1.2 Business Challenges
- 4.5.1.3 Business Drivers
- 4.5.2 Application
- 4.5.2.1 Middle East and Africa Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.5.3 Product
- 4.5.3.1 Middle East and Africa Artificial Intelligence in Agriculture Market (by Product)
- 4.5.3.1.1 Middle East and Africa Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.5.3.1.2 Middle East and Africa Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.5.4 Middle East and Africa (by Country)
- 4.5.4.1 Middle East and Africa Artificial Intelligence in Agriculture Market (by Country), $Million, 2021-2027
- 4.5.4.2 Turkey
- 4.5.4.2.1 Market
- 4.5.4.2.1.1 Buyer Attributes
- 4.5.4.2.1.2 Business Challenges
- 4.5.4.2.1.3 Business Drivers
- 4.5.4.2.2 Application
- 4.5.4.2.2.1 Turkey Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.5.4.2.3 Product
- 4.5.4.2.3.1 Turkey Artificial Intelligence in Agriculture Market (by Product)
- 4.5.4.2.3.1.1 Turkey Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.5.4.2.3.1.2 Turkey Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.5.4.3 South Africa
- 4.5.4.3.1 Market
- 4.5.4.3.1.1 Buyer Attributes
- 4.5.4.3.1.2 Business Challenges
- 4.5.4.3.1.3 Business Drivers
- 4.5.4.3.2 Application
- 4.5.4.3.2.1 South Africa Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.5.4.3.3 Product
- 4.5.4.3.3.1 South Africa Artificial Intelligence in Agriculture Market (by Product)
- 4.5.4.3.3.1.1 South Africa Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.5.4.3.3.1.2 South Africa Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.5.4.4 Israel
- 4.5.4.4.1 Market
- 4.5.4.4.1.1 Buyer Attributes
- 4.5.4.4.1.2 Business Challenges
- 4.5.4.4.1.3 Business Drivers
- 4.5.4.4.2 Application
- 4.5.4.4.2.1 Israel Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.5.4.4.3 Product
- 4.5.4.4.3.1 Israel Artificial Intelligence in Agriculture Market (by Product)
- 4.5.4.4.3.1.1 Israel Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.5.4.4.3.1.2 Israel Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.5.4.5 Rest-of-Middle East and Africa
- 4.5.4.5.1 Market
- 4.5.4.5.1.1 Buyer Attributes
- 4.5.4.5.1.2 Business Challenges
- 4.5.4.5.1.3 Business Drivers
- 4.5.4.5.2 Application
- 4.5.4.5.2.1 Rest-of-Middle East and Africa Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.5.4.5.3 Product
- 4.5.4.5.3.1 Rest-of-Middle East and Africa Artificial Intelligence in Agriculture Market (by Product)
- 4.5.4.5.3.1.1 Rest-of-Middle East and Africa Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.5.4.5.3.1.2 Rest-of-Middle East and Africa Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.6 China
- 4.6.1 Market
- 4.6.1.1 Buyer Attributes
- 4.6.1.2 Key Artificial Intelligence (AI) in Agriculture Providers in China
- 4.6.1.3 Business Challenges
- 4.6.1.4 Business Drivers
- 4.6.2 Application
- 4.6.2.1 China Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.6.3 Product
- 4.6.3.1 China Artificial Intelligence in Agriculture Market (by Product)
- 4.6.3.1.1 China Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.6.3.1.2 China Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.7 Asia-Pacific
- 4.7.1 Market
- 4.7.1.1 Key Artificial Intelligence (AI) in Agriculture Providers in Asia-Pacific
- 4.7.1.2 Business Challenges
- 4.7.1.3 Business Drivers
- 4.7.2 Application
- 4.7.2.1 Asia-Pacific Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.7.3 Product
- 4.7.3.1 Asia-Pacific Artificial Intelligence in Agriculture Market (by Product)
- 4.7.3.1.1 Asia-Pacific Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.7.3.1.2 Asia-Pacific Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.7.4 Asia-Pacific (by Country)
- 4.7.4.1 Asia-Pacific Artificial Intelligence in Agriculture Market (by Country), $Million, 2021-2027
- 4.7.4.2 Japan
- 4.7.4.2.1 Market
- 4.7.4.2.1.1 Buyer Attributes
- 4.7.4.2.1.2 Business Challenges
- 4.7.4.2.1.3 Business Drivers
- 4.7.4.2.2 Application
- 4.7.4.2.2.1 Japan Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.7.4.2.3 Product
- 4.7.4.2.3.1 Japan Artificial Intelligence in Agriculture Market (by Product)
- 4.7.4.2.3.1.1 Japan Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.7.4.2.3.1.2 Japan Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.7.4.3 Australia
- 4.7.4.3.1 Market
- 4.7.4.3.1.1 Buyer Attributes
- 4.7.4.3.1.2 Business Challenges
- 4.7.4.3.1.3 Business Drivers
- 4.7.4.3.2 Application
- 4.7.4.3.2.1 Australia Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.7.4.3.3 Product
- 4.7.4.3.3.1 Australia Artificial Intelligence in Agriculture Market (by Product)
- 4.7.4.3.3.1.1 Australia Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.7.4.3.3.1.2 Australia Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.7.4.4 India
- 4.7.4.4.1 Market
- 4.7.4.4.1.1 Buyer Attributes
- 4.7.4.4.1.2 Business Challenges
- 4.7.4.4.1.3 Business Drivers
- 4.7.4.4.2 Application
- 4.7.4.4.2.1 India Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.7.4.4.3 Product
- 4.7.4.4.3.1 India Artificial Intelligence in Agriculture Market (by Product)
- 4.7.4.4.3.1.1 India Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.7.4.4.3.1.2 India Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
- 4.7.4.5 Rest-of-Asia-Pacific
- 4.7.4.5.1 Market
- 4.7.4.5.1.1 Buyer Attributes
- 4.7.4.5.1.2 Business Challenges
- 4.7.4.5.1.3 Business Drivers
- 4.7.4.5.2 Application
- 4.7.4.5.2.1 Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market (by Application), $Million, 2021-2027
- 4.7.4.5.3 Product
- 4.7.4.5.3.1 Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market (by Product)
- 4.7.4.5.3.1.1 Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market (by Mode of Deployment), $Million, 2021-2027
- 4.7.4.5.3.1.2 Rest-of-Asia-Pacific Artificial Intelligence in Agriculture Market (by Product Type), $Million, 2021-2027
5 Markets - Competitive Benchmarking & Company Profiles
- 5.1 Competitive Benchmarking
- 5.2 Market Share Analysis
- 5.2.1 Market Share Analysis for Global Artificial Intelligence in Agriculture Market
- 5.3 Company Profiles
- 5.3.1 Alibaba Group Holding Limited
- 5.3.1.1 Company Overview
- 5.3.1.1.1 Role of Alibaba Group Holding Limited in the Global Artificial Intelligence in Agriculture Market
- 5.3.1.1.2 Product Portfolio
- 5.3.1.2 Customer Profile
- 5.3.1.2.1 Key Clients
- 5.3.1.2.2 Target Customers
- 5.3.1.3 Business Strategies
- 5.3.1.3.1 Market Development
- 5.3.1.4 Corporate Strategies
- 5.3.1.4.1 Partnership, Joint Venture, Collaboration, and Alliance
- 5.3.1.5 Analyst View
- 5.3.2 Aquabyte
- 5.3.2.1 Company Overview
- 5.3.2.1.1 Role of Aquabyte in the Global Artificial Intelligence in Agriculture Market
- 5.3.2.1.2 Product Portfolio
- 5.3.2.2 Customer Profile
- 5.3.2.2.1 Key Clients
- 5.3.2.2.2 Target Customers
- 5.3.2.3 Analyst View
- 5.3.3 Ceres Imaging
- 5.3.3.1 Company Overview
- 5.3.3.1.1 Role of Ceres Imaging in the Global Artificial Intelligence in Agriculture Market
- 5.3.3.1.2 Product Portfolio
- 5.3.3.2 Customer Profile
- 5.3.3.2.1 Key Clients
- 5.3.3.2.2 Target customers
- 5.3.3.3 Business Strategies
- 5.3.3.3.1 Market Development
- 5.3.3.3.2 Product Development
- 5.3.3.4 Corporate Strategies
- 5.3.3.4.1 Partnerships, Collaborations, Joint Ventures, and Alliances
- 5.3.3.5 Analyst View
- 5.3.4 Climate LLC
- 5.3.4.1 Company Overview
- 5.3.4.1.1 Role of Climate LLC in the Global Artificial Intelligence in Agriculture Market
- 5.3.4.1.2 Product Portfolio
- 5.3.4.2 Customer Profile
- 5.3.4.2.1 Target Customers
- 5.3.4.2.2 Key Clients
- 5.3.4.3 Corporate Strategies
- 5.3.4.3.1 Partnerships, Joint Ventures, Collaborations, and Alliances
- 5.3.4.4 Analyst View
- 5.3.5 CNH Industrial N.V.
- 5.3.5.1 Company Overview
- 5.3.5.1.1 Role of CNH Industrial N.V. in the Global Artificial Intelligence in Agriculture Market
- 5.3.5.1.2 Product Portfolio
- 5.3.5.2 Customer Profile
- 5.3.5.2.1 Key Clients
- 5.3.5.2.2 Target Customers
- 5.3.5.3 Business Strategies
- 5.3.5.3.1 Market Development
- 5.3.5.3.2 Product Development
- 5.3.5.4 Corporate Strategies
- 5.3.5.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.5.4.2 Merger and Acquisition
- 5.3.5.5 Analyst View
- 5.3.6 Connecterra B.V.
- 5.3.6.1 Company Overview
- 5.3.6.1.1 Role of Connecterra B.V. in the Global Artificial Intelligence in Agriculture Market
- 5.3.6.1.2 Product Portfolio
- 5.3.6.2 Customer Profile
- 5.3.6.2.1 Target Customers
- 5.3.6.2.2 Key Clients
- 5.3.6.2.3 Key Partners
- 5.3.6.3 Business Strategies
- 5.3.6.3.1 Market Development
- 5.3.6.4 Corporate Strategies
- 5.3.6.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.6.5 Analyst View
- 5.3.7 CropIn Technology Solutions
- 5.3.7.1 Company Overview
- 5.3.7.1.1 Role of CropIn Technology Solutions in the Global Artificial Intelligence in Agriculture Market
- 5.3.7.1.2 Product Portfolio
- 5.3.7.2 Customer Profile
- 5.3.7.2.1 Key Clients
- 5.3.7.2.2 Target Customers
- 5.3.7.3 Business Strategies
- 5.3.7.3.1 Market Development
- 5.3.7.4 Corporate Strategies
- 5.3.7.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.7.5 Analyst View
- 5.3.8 Deere & Company
- 5.3.8.1 Company Overview
- 5.3.8.1.1 Role of Deere & Company in the Global Artificial Intelligence in Agriculture Market
- 5.3.8.1.2 Product Portfolio
- 5.3.8.2 Customer Profile
- 5.3.8.2.1 Key Clients
- 5.3.8.2.2 Target Customers
- 5.3.8.3 Business Strategies
- 5.3.8.3.1 Market Development
- 5.3.8.3.2 Product Development
- 5.3.8.4 Corporate Strategies
- 5.3.8.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.8.4.2 Merger and Acquisition
- 5.3.8.4.3 Analyst View
- 5.3.9 DJI
- 5.3.9.1 Company Overview
- 5.3.9.1.1 Role of DJI in the Global Artificial Intelligence in Agriculture Market
- 5.3.9.1.2 Product Portfolio
- 5.3.9.2 Customer Profile
- 5.3.9.2.1 Target Customers
- 5.3.9.2.2 Key Clients
- 5.3.9.3 Business Strategies
- 5.3.9.3.1 Market Development
- 5.3.9.4 Corporate Strategies
- 5.3.9.4.1 Partnership, Joint Venture, Collaboration, and Alliance
- 5.3.9.5 Analyst View
- 5.3.10 Granular Inc.
- 5.3.10.1 Company Overview
- 5.3.10.1.1 Role of Granular Inc. in the Global Artificial Intelligence in Agriculture Market
- 5.3.10.1.2 Product Portfolio
- 5.3.10.2 Customer Profile
- 5.3.10.2.1 Key Clients
- 5.3.10.2.2 Target Customers
- 5.3.10.3 Corporate Strategies
- 5.3.10.3.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.10.4 Analyst View
- 5.3.11 IBM Corporation
- 5.3.11.1 Company Overview
- 5.3.11.1.1 Role of IBM Corporation in the Global Artificial Intelligence in Agriculture Market
- 5.3.11.1.2 Product Portfolio
- 5.3.11.2 Customer Profile
- 5.3.11.2.1 Target Customers
- 5.3.11.2.2 Key Clients
- 5.3.11.3 Business Strategies
- 5.3.11.3.1 Product Development
- 5.3.11.4 Corporate Strategies
- 5.3.11.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.11.5 Analyst View
- 5.3.12 Microsoft Corporation
- 5.3.12.1 Company Overview
- 5.3.12.1.1 Role of Microsoft Corporation in the Global Artificial Intelligence in Agriculture Market
- 5.3.12.1.2 Product Portfolio
- 5.3.12.2 Customer Profile
- 5.3.12.2.1 Target Customers
- 5.3.12.2.2 Key Clients
- 5.3.12.3 Business Strategies
- 5.3.12.3.1 Market Development
- 5.3.12.3.2 Product Development
- 5.3.12.4 Corporate Strategies
- 5.3.12.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.12.5 Analyst View
- 5.3.13 PrecisionHawk, Inc.
- 5.3.13.1 Company Overview
- 5.3.13.1.1 Role of PrecisionHawk, Inc. in the Global Artificial Intelligence in Agriculture Market
- 5.3.13.1.2 Pricing Portfolio
- 5.3.13.2 Customer Profile
- 5.3.13.2.1 Target Customers
- 5.3.13.2.2 Key Clients
- 5.3.13.2.3 Corporate Strategies
- 5.3.13.2.4 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.13.3 Analyst View
- 5.3.14 Plantix
- 5.3.14.1 Company Overview
- 5.3.14.1.1 Role of Plantix in the Global Artificial Intelligence in Agriculture Market
- 5.3.14.1.2 Product Portfolio
- 5.3.14.2 Customer Profile
- 5.3.14.2.1 Target Customers
- 5.3.14.3 Business Strategies
- 5.3.14.3.1 Market Development
- 5.3.14.3.2 Product Development
- 5.3.14.4 Corporate Strategies
- 5.3.14.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.3.14.4.2 Merger and Acquisition
- 5.3.14.5 Analyst View
- 5.3.15 XPERTSEA
- 5.3.15.1 Company Overview
- 5.3.15.1.1 Role of XPERTSEA in the Global Artificial Intelligence in Agriculture Market
- 5.3.15.1.2 Product Portfolio
- 5.3.15.2 Customer Profile
- 5.3.15.2.1 Target Customers
- 5.3.15.2.2 Key Clients
- 5.3.15.3 Analyst View
- 5.4 Key Startups in the Artificial Intelligence in Agriculture Ecosystem
- 5.4.1 Agrible
- 5.4.1.1 Company Overview
- 5.4.1.1.1 Role of Agrible in the Global Artificial Intelligence in Agriculture Market
- 5.4.1.1.2 Product Portfolio
- 5.4.1.2 Customer Profile
- 5.4.1.2.1 Target Customers
- 5.4.1.2.2 Key Clients
- 5.4.1.3 Analyst View
- 5.4.2 Prospera Technologies
- 5.4.2.1 Company Overview
- 5.4.2.1.1 Role of Prospera Technologies in the Global Artificial Intelligence in Agriculture Market
- 5.4.2.1.2 Product Portfolio
- 5.4.2.2 Customer Profile
- 5.4.2.2.1 Key Clients
- 5.4.2.2.2 Target Customers
- 5.4.2.3 Corporate Strategies
- 5.4.2.3.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.4.2.4 Analyst View
- 5.4.3 Taranis
- 5.4.3.1 Company Overview
- 5.4.3.1.1 Role of Taranis in the Global Artificial Intelligence in Agriculture Market
- 5.4.3.1.2 Product Portfolio
- 5.4.3.2 Customer Profile
- 5.4.3.2.1 Target Customers
- 5.4.3.2.2 Key Clients
- 5.4.3.3 Business Strategies
- 5.4.3.3.1 Product Development
- 5.4.3.4 Corporate Strategies
- 5.4.3.4.1 Partnership, Collaboration, Joint Venture, and Alliance
- 5.4.3.5 Analyst View
- 5.4.4 UMITRON
- 5.4.4.1 Company Overview
- 5.4.4.1.1 Role of UMITRON in the Global Artificial Intelligence in Agriculture Market
- 5.4.4.1.2 Product Portfolio
- 5.4.4.2 Customer Profile
- 5.4.4.2.1 Key Clients
- 5.4.4.2.2 Target Customers
- 5.4.4.3 Funding and Grants
- 5.4.4.4 Business Strategies
- 5.4.4.4.1 Market Development
- 5.4.4.4.2 Product Development
- 5.4.4.5 Analyst View
- 5.4.5 Wolkus Technology Solutions Private Limited (Fasal)
- 5.4.5.1 Company Overview
- 5.4.5.1.1 Role of Wolkus Technology Solutions Private Limited (Fasal) in the Global Artificial Intelligence in Agriculture Market
- 5.4.5.1.2 Product Portfolio
- 5.4.5.2 Customer Profile
- 5.4.5.3 Target Customers
- 5.4.5.4 Funding and Grants
- 5.4.5.5 Business Strategies
- 5.4.5.5.1 Product Development
- 5.4.5.6 Analyst View
6 Research Methodology
- 6.1 Data Sources
- 6.1.1 Primary Data Sources
- 6.1.2 Secondary Data Sources
- 6.1.3 Data Triangulation
- 6.2 Market Estimation and Forecast
- 6.2.1 Factors for Data Prediction and Modelling