Global Agriculture Analytics Market (2023-2028) by Offering, Agriculture Type, Technology, End-Users, and Regional Analysis, AI and Sustainability Footprints, and Market Success Strategies

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The Global Agriculture Analytics Market is set to surge from USD 1.38 Bn in 2023 to a projected USD 2.55 Bn by 2028, growing at a CAGR of 13.04%.

Efficient farming relies on smart resource use, and agriculture analytics solutions play a key role. Farmers integrate data from sensors, machinery, and weather stations to make informed decisions on resource allocation. For instance, analyzing soil moisture and weather data helps optimize irrigation, preventing water waste and ensuring crops get the right moisture. Analytics also aids in precise fertilizer application, minimizing environmental impact. This targeted approach not only reduces waste but enhances crop health and productivity. Agriculture analytics optimizes machinery use by analyzing performance, fuel consumption, and operational efficiency, leading to informed decisions on maintenance, saving costs, and boosting farm productivity. Technology like sensors and drones revolutionizes data collection, enabling real-time insights. However, challenges like data privacy concerns among farmers, technological literacy gaps, and limited training resources hinder widespread adoption. Bridging these gaps is crucial for the continued growth of agriculture analytics in enhancing sustainable farming practices.


Segment Analysis for Global Agriculture Analytics Market

The Global Agriculture Analytics Market is segmented based on Offering, Agriculture Type, Technology, and End-Users.

The Global Agriculture Analytics Market, categorized by Agriculture Type, encompasses various sectors driving its dynamics.

  • Precision Farming: This segment, marked by its focus on optimizing crop yields through data-driven insights, is a key driver. Farmers leverage analytics for precise resource allocation, enhancing overall productivity.
  • Livestock Farming: In the realm of livestock management, analytics plays a vital role. From monitoring animal health to optimizing breeding practices, farmers use data to make informed decisions, promoting efficiency.
  • Aquaculture Farming: Analytics in aquaculture aids in monitoring water quality, optimizing feeding practices, and disease detection. This segment reflects the increasing adoption of technology to enhance fish and seafood production.
  • Vertical Farming: The vertical farming segment, representing innovative cultivation practices, sees significant growth. Analytics supports vertical farming by providing insights into climate control, lighting optimization, and resource management.
  • Others (Organic and Conventional farming): This inclusive category covers diverse farming approaches, including organic and conventional methods. Analytics contributes by offering insights into sustainable practices, resource optimization, and crop health management.


Regional Analysis for Global Agriculture Analytics Market

North America is expected to account for the largest market size during the forecast period.

Agriculture analytics has gained significant importance in North America as farmers and agribusinesses leverage data-driven approaches to optimize their operations. With the increasing adoption of advanced technologies and the availability of vast data, farmers and agribusinesses are leveraging analytics to gain valuable insights into their operations and make informed decisions. The rapid developments in infrastructure, high adoption of digital technologies, and demand for data-driven solutions contribute to the agriculture analytics market growth in the region.


List of Companies

The report provides profiles of the key companies, outlining their history, business segments, product overview, and company financials. Some companies from competitive analysis are Accenture, Agribotix LLC, Bayer AG, Conservis, Delaval, etc.


Key Developments

IBM announced a partnership with The Climate Corporation, a subsidiary of Monsanto, to develop and market a new agriculture analytics solution. The solution will use IBM’s Watson IoT platform to collect and analyze data from various sources, including weather, soil, and crop data. The data will be used to help farmers make better decisions about how to manage their crops. March 2023

John Deere and Nutrien Ag Solutions partner on digital connectivity. Both companies leverage this connectivity to enhance grower service by optimizing logistics and seamlessly transferring variable rate agronomic recommendations to their equipment for execution. – Jan 2023


Frequently Asked Questions

How Much Is The Global Agriculture Analytics Market Size?

The Global Agriculture Analytics Market is set to surge from USD 1.38 Bn in 2023 to a projected USD 2.55 Bn by 2028, growing at a CAGR of 13.04%.

What Is The Major Global Agriculture Analytics Market Driver?

  • Rising Need for Optimal Resource Utilization
  • The Advancements of Technologies in Agriculture

What are the Major Agriculture Analytics Market opportunities?

  • Continuously Growing Population and Increasing Higher Demand for Food
  • Acquisition and Mergers Would Offer Lucrative Opportunities

Which Region Held The Largest Share In The Agriculture Analytics Market?

North America has Gained Significant Importance Because of the Increasing Adoption of Advanced Technologies and Rapid Development of Infrastructure.

Who Are The Agriculture Analytics Market Players?

Accenture, Agribotix LLC, Bayer AG, Conservis, Delaval, etc.

1. Introduction
1.1 Scope of the Study
1.2 Purpose of the Study
1.3 Limitations of the Study
1.4 Currency

2. Executive Summary
2.1 Market Definition
2.2 Market Size and Segmentation
2.3 Insights for CXOs

3. Market Forces
3.1 Drivers
3.1.1 Increasing Size and Complexity of Farms
3.1.2 Rising Need for Optimal Resource Utilization
3.1.3 Enhancing Sustainability and Reducing Environmental Impact
3.1.4 Applying Big Data in Farming
3.2 Restraints
3.2.1 High Costs Associated with Data Collection and Analysis
3.2.2 Data Privacy and Security Concerns
3.3 Opportunities
3.3.1 Technological Advancements Such as IoT, AI, And ML
3.3.2 Prospect of Public-Private Collaborations to Advance Use of Agriculture Analytics
3.4 Challenges
3.4.1 Lack of Technological Literacy and Skills Gap

4. AI and Sustainability Footprints
4.1 Market Trends of AI and Sustainability
4.2 Application of AI - AI Adoption Levels
4.3 Environmental and Emission Reduction Initiatives

5. Market Analysis
5.1 Government Regulations
5.2 Patent Analysis
5.3 PESTLE Analysis
5.4 Porter's Five Forces Analysis
5.5 Pricing Analysis
5.6 Technology Trends

6. Market Segmentations
6.1 Global Agriculture Analytics Market, By Offering
6.1.1 Market Overview, Size and Forecast
6.1.2 Solutions
6.1.3 Services

6.2 Global Agriculture Analytics Market, By Agriculture Type
6.2.1 Market Overview, Size and Forecast
6.2.2 Precision Farming
6.2.3 Livestock Farming
6.2.4 Aquaculture Farming
6.2.5 Vertical Farming
6.2.6 Others (Organic and Conventional farming)

6.3 Global Agriculture Analytics Market, By Technology
6.3.1 Market Overview, Size and Forecast
6.3.2 Remote Sensing and Satellite Imagery
6.3.3 Geographic Information System
6.3.4 Robotics and Automation
6.3.5 Big Data and Cloud Computing
6.3.6 Visualization and Reporting
6.3.7 Blockchain Technology

6.4 Global Agriculture Analytics Market, By End Users
6.4.1 Market Overview, Size and Forecast
6.4.2 Farmers
6.4.3 Agronomists
6.4.4 Agribusinesses
6.4.5 Agricultural Researchers
6.4.6 Government Agencies
6.4.7 Others (Insurance Assessors, Drone Services, Consumers and Consumers' Organizations)

7. Region Analysis of the Global Agriculture Analytics Market
7.1 Americas
7.1.1 Brazil
7.1.2 Canada
7.1.3 Mexico
7.1.4 US
7.1.5 Others
7.2 Europe
7.2.1 France
7.2.2 Germany
7.2.3 Italy
7.2.4 Russia
7.2.5 United Kingdom
7.2.6 Others
7.3 Middle East & Africa
7.3.1 Israel
7.3.2 Nigeria
7.3.3 Saudi Arabia
7.3.4 South Africa
7.3.5 UAE
7.3.6 Others
7.4 Asia
7.4.1 Australia – New Zealand
7.4.2 China
7.4.3 India
7.4.4 Japan
7.4.5 South Korea
7.4.6 Others

8. Market Success Strategies
8.1 Best Marketing Practices
8.2 Market Entry Strategies

9. Competitive Analysis
9.1 ABACO Group
9.2 Accenture
9.3 Agribotix LLC
9.4 Bayer AG
9.5 Conservis
9.6 Delaval
9.7 DTN
9.8 Farmers Edge
9.9 Granular (Corteva Agriscience)
9.10 IBM
9.11 Iteris Inc.
9.12 Oracle
9.13 PrecisionHawk
9.14 SAP SE
9.15 SAS Institute
9.16 Stesalit Systems
9.17 Taranis
9.18 Trace Genomics
9.19 Trimble Inc.

10. Case Studies
10.1 Analysis of Successful Companies
10.2 Lessons from Market Failures

11. Appendix
11.1 Research Methodology
11.2 Assumptions for the Report
11.3 List of Abbreviations

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