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PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1339924

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PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1339924

Agriculture Analytics Market Forecasts to 2030 - Global Analysis By Type, Agriculture Type, Component Type, Farm Size, Technology, Application, End User and By Geography

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According to Stratistics MRC, the Global Agriculture Analytics Market is accounted for $1.4 billion in 2023 and is expected to reach $3.74 billion by 2030 growing at a CAGR of 15.1% during the forecast period. Market intelligence, economic analysis, statistical consultancy, and scientific research goods that are suitable, precise, timely, and simple to understand are provided to recipients by agricultural analytics. Receivers of agricultural analytics services benefit from increased business efficiency, better understanding of the current commodity market environment, evaluation of new marketing opportunities, improved logistics and science-based operations, risk management, and the ability to develop creative solutions to complex marketing and production issues. More advanced agricultural monitoring systems are being developed with the use of data science.

According to the Food and Agriculture Organization, in 2019, Brazil accounted for 65-70% of all rice-growing areas in South America. The country produces 52% of all irrigated rice, 38% of all rain-fed rice, and 92% of all upland rice in the region.

Market Dynamics:

Driver:

Increased cutting-edge technologies

Agriculture analytics uses cutting-edge technology like big data, artificial intelligence, cloud computing, and the Internet of Things to manage and automate farming activities including crops, fields, animals, and others. Modern agricultural techniques are being used due to the rising global food demand. Due to the population's fast expansion; there will be a two-fold rise in future food consumption. As a result, it is projected that the use of agro analytics technology would help the sector in the future handle its problems. The amount of arable land is decreasing, which is showing similar tendencies. Urbanization, water shortages, climate change, and population increase have a significant negative influence on agricultural land.

Restraint:

Expensive accurate field data collection

The high cost of getting accurate field data is the main barrier to AI adoption in the agriculture sector. Farmers are hesitant to use AI technology to get exact field data since it demands high upfront expenses, effective farming equipment, and qualified and experienced farmers or growers, among other factors. Only two of the expenditures associated with AI-based farming are high-cost spatial data collecting and training. Drones and autonomous tractors employ GPS technology for navigation and mapping, which is costly and necessitates a substantial initial investment.

Opportunity:

Expanding usage of agricultural analytics on large farms

Due to its accessibility and capacity to increase profitability, agricultural analytics are being used more often on large farms, which is positive for the sector as a whole. Big farms conduct high-level commercial operations, producing large volumes of information and assisting farm analytics service providers in managing this data. As a result, the market is expanding and will probably continue to be a key contributor in the growth of the agricultural analytics industry. In addition, rising government attempts to educate farmers, use of agriculture analytics to enhance crop output, and dealing with erratic climatic fluctuations and environmental concerns are enhancing the market growth.

Threat:

Knowledge of technology and the skills gap

Significant obstacles to the expansion of the agriculture analytics sector include the lack of technological awareness and the skills gap. The lack of knowledge and comprehension among farmers and other agricultural stakeholders regarding the potential advantages of analytics in agriculture is a significant problem. The principles of data analysis and how it might enhance productivity and decision-making may not be well known to many people. The adoption of agriculture analytics solutions may be hampered by this lack of knowledge since potential users may not view them as beneficial or applicable to their operations.

COVID-19 Impact:

The agricultural sector had run well during the shutdown. The Indian government has taken all essential steps to ensure that agriculture-related operations run smoothly. Agriculture and related pursuits were protected from the shutdown. Dealers, stores, and other input-related businesses were permitted to open their doors for free in order to provide farmers with inputs. The global economy has been severely disrupted by the onset and spread of the corona virus pandemic (COVID-19), which has caused an imbalance in every sector globally.

The farm analytics segment is expected to be the largest during the forecast period

The farm analytics segment is estimated to have a lucrative growth, due to insights that matter in the agricultural environment, agriculture experts are integrating artificial intelligence and data science to create on-farm predictive analytics. A growing trend in subscription-based services attempts to lower costs for farmers while also giving them access to real-time crop-condition notifications, additionally predictive modelling and job optimization will give total control over their upcoming harvest. Ag-Analytics and other businesses use insights from precision agricultural data to address concerns about weather effect. The business makes use of technologies like Farm Scope, which integrate data from several sources, including satellite, soil, weather, historical crop, and farm equipment data, to produce a study of the current condition of an agricultural area and a projection for future productivity.

The agronomists segment is expected to have the highest CAGR during the forecast period

The agronomists segment is anticipated to witness the highest CAGR growth during the forecast period, because agronomists are essential to agriculture analytics because they use data to enhance farming methods, maximize yields, and make sure agricultural systems are sustainable. Professionals with specialization in the science and application of crop production and soil management are known as agronomists. Agronomists collaborate closely with farmers, offering knowledgeable direction and assistance on a variety of crop production-related issues. To evaluate information gathered from fields, including soil samples, weather patterns, and crop performance data, they use agriculture analytics.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to the growing government initiative to automate and improve farming methods will increase the need for agriculture analytics. Furthermore, the nations' rapidly growing populations are what is driving the deployment of cutting-edge technology to boost yields. Growing government incentives to utilize modern agricultural methods, increasing pressure to fulfil the world's growing food demand, and unpredictable climate change and environmental circumstances are all driving the expansion of the agriculture analytics sector.

Region with highest CAGR:

Europe is projected to have the highest CAGR over the forecast period, owing to the region's dense concentration of suppliers for artificial intelligence, cloud computing, data analytics, big data, and other technologies. As a consequence of the increasing use of cutting-edge technology and the accessibility of vast amounts of data, farmers and agribusinesses are employing analytics to get deep knowledge about their operations and make informed decisions. The demand for fresh, high-quality food is rising, which is motivating the farming industry to use agriculture analytics. The market for agriculture analytics in this region is growing as a consequence of the widespread use of digital technologies, quick expansion of infrastructure, and need for data-driven solutions are driving the growth of the market in this region.

Key players in the market:

Some of the key players profiled in the Agriculture Analytics Market include: Ageagle Aerial Systems Inc, Agribotix, Agrivi, Bayer AG, Conservis Corporation, Deere & Company, Farmers Edge, Gro Intelligence, IBM Corporation, Iteris Inc, Monsanto, Oracle, PrecisionHawk, Inc., SAP SE, SAS Institute Inc., Taranis, Trimble Inc. and Vistex, Inc.

Key Developments:

  • In July 2023, Bayer extends Partnership with Peking University to foster Pharmaceutical Innovation in China; the collaboration will focus on selected key areas of interests, such as oncology, cardiorenal, immunology, as well as cell and gene therapy.
  • In May 2023, AgEagle Announces Compliance with NYSE Guidelines on Audit Opinion Disclosure, This announcement is being made solely to comply with the New York Stock Exchange's Company Guide Sections 401(h) and 610(b), which require separate disclosure of receipt of an audit opinion that contains a going concern qualification.
  • In May 2023, AgEagle Releases "RedEdge-P dual" High Resolution Drone Sensor, the new RedEdge-P™ dual high resolution and RGB composite drone sensor, representing yet another AgEagle technological advancement in aerial imaging cameras.

Types Covered:

  • Farm Analytics
  • Livestock Analytics
  • Other Types

Agriculture Types Covered:

  • Aquaculture Farming
  • Livestock Farming
  • Precision Farming
  • Vertical Farming
  • Other Agriculture Types

Components Covered:

  • Services
  • Solutions

Farm Sizes Covered:

  • Small and Medium-Sized Farms
  • Large Farms

Technologies Covered:

  • Big Data & Cloud Computing
  • Visualization & Reporting
  • Robotics & Automation
  • Remote Sensing & Satellite Imagery
  • Block chain Technology
  • Geographic Information System
  • Other Technologies

Applications Covered:

  • Crop Management
  • Weather Data Analytics
  • Irrigation & Water Management
  • Transportation
  • Fertilizer Management
  • Field Planning
  • Aquaculture
  • Other Applications

End Users Covered:

  • Agronomists
  • Farmers
  • Agricultural Researchers
  • Government Agencies
  • Agribusinesses
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Product Code: SMRC23632

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Agriculture Analytics Market, By Type

  • 5.1 Introduction
  • 5.2 Farm Analytics
  • 5.3 Livestock Analytics
  • 5.4 Other Types

6 Global Agriculture Analytics Market, By Agriculture Type

  • 6.1 Introduction
  • 6.2 Aquaculture Farming
    • 6.2.1 Feeding Management
    • 6.2.2 Water Quality Management
    • 6.2.3 Pest & Disease Management
    • 6.2.4 Aeration Systems
    • 6.2.5 Fish Tracking & Fleet Navigation
    • 6.2.6 Quality Control & Traceability
  • 6.3 Livestock Farming
    • 6.3.1 Heat Stress Management
    • 6.3.2 Milk Harvesting
    • 6.3.3 Breeding Managemnt
    • 6.3.4 Behavior Monitoring & Mangement
    • 6.3.5 Real-Time Monitoring
    • 6.3.6 Calf Mangement
    • 6.3.7 Feeding Management
    • 6.3.8 Other Livestock Farmings
  • 6.4 Precision Farming
    • 6.4.1 Farm Labor Management
    • 6.4.2 Variable Rate Technology
    • 6.4.3 Decision Support Systems
    • 6.4.4 Irrigation and Water Management
    • 6.4.5 Soil Health Analysis
    • 6.4.6 Yield Monitoring and Prediction
  • 6.5 Vertical Farming
    • 6.5.1 Nutrient Management
    • 6.5.2 Resource Planning and Optimization
    • 6.5.3 Planting and Seeding
    • 6.5.4 Sustainability and Environmental Monitoring
    • 6.5.5 Grading and Marketing
    • 6.5.6 Supply Chain Management
      • 6.5.6.1 Shipping Management
      • 6.5.6.2 Inventory Management
      • 6.5.6.3 Order Delivery and Invoice Management
    • 6.5.7 Other Vertical Farmings
  • 6.6 Other Agriculture Types

7 Global Agriculture Analytics Market, By Component

  • 7.1 Introduction
  • 7.2 Services
    • 7.2.1 Professional Services
      • 7.2.1.1 Training & Consulting
      • 7.2.1.2 System Integration & Implementation
      • 7.2.1.3 Support & Maintenance
    • 7.2.2 Managed Services
      • 7.2.2.1 Farm Operation Services
      • 7.2.2.2 Data Services
      • 7.2.2.3 Analytic Services
  • 7.3 Solutions

8 Global Agriculture Analytics Market, By Farm Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Farms
  • 8.3 Large Farms

9 Global Agriculture Analytics Market, By Technology

  • 9.1 Introduction
  • 9.2 Big Data & Cloud Computing
  • 9.3 Visualization & Reporting
  • 9.4 Robotics & Automation
  • 9.5 Remote Sensing & Satellite Imagery
  • 9.6 Blockchain Technology
  • 9.7 Geographic Information System
  • 9.8 Other Technologies

10 Global Agriculture Analytics Market, By Application

  • 10.1 Introduction
  • 10.2 Crop Management
  • 10.3 Weather Data Analytics
  • 10.4 Irrigation & Water Management
  • 10.5 Transportation
  • 10.6 Fertilizer Management
  • 10.7 Field Planning
  • 10.8 Acquaculture
  • 10.9 Other Applications

11 Global Agriculture Analytics Market, By End User

  • 11.1 Introduction
  • 11.2 Agronomists
  • 11.3 Farmers
  • 11.4 Agricultural Researchers
  • 11.5 Government Agencies
  • 11.6 Agribusinesses
  • 11.7 Other End Users

12 Global Agriculture Analytics Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Ageagle Aerial Systems Inc
  • 14.2 Agribotix
  • 14.3 Agrivi
  • 14.4 Bayer AG
  • 14.5 Conservis Corporation
  • 14.6 Deere & Company
  • 14.7 Farmers Edge
  • 14.8 Gro Intelligence
  • 14.9 IBM Corporation
  • 14.10 Iteris Inc
  • 14.11 Monsanto
  • 14.12 Oracle
  • 14.14 PrecisionHawk, Inc.
  • 14.13 SAP SE
  • 14.15 SAS Institute Inc.
  • 14.16 Taranis
  • 14.17 Trimble Inc.
  • 14.18 Vistex, Inc.
Product Code: SMRC23632

List of Tables

  • Table 1 Global Agriculture Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Agriculture Analytics Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Agriculture Analytics Market Outlook, By Farm Analytics (2021-2030) ($MN)
  • Table 4 Global Agriculture Analytics Market Outlook, By Livestock Analytics (2021-2030) ($MN)
  • Table 5 Global Agriculture Analytics Market Outlook, By Other Types (2021-2030) ($MN)
  • Table 6 Global Agriculture Analytics Market Outlook, By Agriculture Type (2021-2030) ($MN)
  • Table 7 Global Agriculture Analytics Market Outlook, By Aquaculture Farming (2021-2030) ($MN)
  • Table 8 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
  • Table 9 Global Agriculture Analytics Market Outlook, By Water Quality Management (2021-2030) ($MN)
  • Table 10 Global Agriculture Analytics Market Outlook, By Pest & Disease Management (2021-2030) ($MN)
  • Table 11 Global Agriculture Analytics Market Outlook, By Aeration Systems (2021-2030) ($MN)
  • Table 12 Global Agriculture Analytics Market Outlook, By Fish Tracking & Fleet Navigation (2021-2030) ($MN)
  • Table 13 Global Agriculture Analytics Market Outlook, By Quality Control & Traceability (2021-2030) ($MN)
  • Table 14 Global Agriculture Analytics Market Outlook, By Livestock Farming (2021-2030) ($MN)
  • Table 15 Global Agriculture Analytics Market Outlook, By Heat Stress Management (2021-2030) ($MN)
  • Table 16 Global Agriculture Analytics Market Outlook, By Milk Harvesting (2021-2030) ($MN)
  • Table 17 Global Agriculture Analytics Market Outlook, By Breeding Managemnt (2021-2030) ($MN)
  • Table 18 Global Agriculture Analytics Market Outlook, By Behavior Monitoring & Mangement (2021-2030) ($MN)
  • Table 19 Global Agriculture Analytics Market Outlook, By Real-Time Monitoring (2021-2030) ($MN)
  • Table 20 Global Agriculture Analytics Market Outlook, By Calf Mangement (2021-2030) ($MN)
  • Table 21 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
  • Table 22 Global Agriculture Analytics Market Outlook, By Other Livestock Farmings (2021-2030) ($MN)
  • Table 23 Global Agriculture Analytics Market Outlook, By Precision Farming (2021-2030) ($MN)
  • Table 24 Global Agriculture Analytics Market Outlook, By Farm Labor Management (2021-2030) ($MN)
  • Table 25 Global Agriculture Analytics Market Outlook, By Variable Rate Technology (2021-2030) ($MN)
  • Table 26 Global Agriculture Analytics Market Outlook, By Decision Support Systems (2021-2030) ($MN)
  • Table 27 Global Agriculture Analytics Market Outlook, By Irrigation and Water Management (2021-2030) ($MN)
  • Table 28 Global Agriculture Analytics Market Outlook, By Soil Health Analysis (2021-2030) ($MN)
  • Table 29 Global Agriculture Analytics Market Outlook, By Yield Monitoring and Prediction (2021-2030) ($MN)
  • Table 30 Global Agriculture Analytics Market Outlook, By Vertical Farming (2021-2030) ($MN)
  • Table 31 Global Agriculture Analytics Market Outlook, By Nutrient Management (2021-2030) ($MN)
  • Table 32 Global Agriculture Analytics Market Outlook, By Resource Planning and Optimization (2021-2030) ($MN)
  • Table 33 Global Agriculture Analytics Market Outlook, By Planting and Seeding (2021-2030) ($MN)
  • Table 34 Global Agriculture Analytics Market Outlook, By Sustainability and Environmental Monitoring (2021-2030) ($MN)
  • Table 35 Global Agriculture Analytics Market Outlook, By Grading and Marketing (2021-2030) ($MN)
  • Table 36 Global Agriculture Analytics Market Outlook, By Supply Chain Management (2021-2030) ($MN)
  • Table 37 Global Agriculture Analytics Market Outlook, By Shipping Management (2021-2030) ($MN)
  • Table 38 Global Agriculture Analytics Market Outlook, By Inventory Management (2021-2030) ($MN)
  • Table 39 Global Agriculture Analytics Market Outlook, By Order Delivery and Invoice Management (2021-2030) ($MN)
  • Table 40 Global Agriculture Analytics Market Outlook, By Other Vertical Farmings (2021-2030) ($MN)
  • Table 41 Global Agriculture Analytics Market Outlook, By Other Agriculture Types (2021-2030) ($MN)
  • Table 42 Global Agriculture Analytics Market Outlook, By Component (2021-2030) ($MN)
  • Table 43 Global Agriculture Analytics Market Outlook, By Services (2021-2030) ($MN)
  • Table 44 Global Agriculture Analytics Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 45 Global Agriculture Analytics Market Outlook, By Training & Consulting (2021-2030) ($MN)
  • Table 46 Global Agriculture Analytics Market Outlook, By System Integration & Implementation (2021-2030) ($MN)
  • Table 47 Global Agriculture Analytics Market Outlook, By Support & Maintenance (2021-2030) ($MN)
  • Table 48 Global Agriculture Analytics Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 49 Global Agriculture Analytics Market Outlook, By Farm Operation Services (2021-2030) ($MN)
  • Table 50 Global Agriculture Analytics Market Outlook, By Data Services (2021-2030) ($MN)
  • Table 51 Global Agriculture Analytics Market Outlook, By Analytic Services (2021-2030) ($MN)
  • Table 52 Global Agriculture Analytics Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 53 Global Agriculture Analytics Market Outlook, By Farm Size (2021-2030) ($MN)
  • Table 54 Global Agriculture Analytics Market Outlook, By Small and Medium-Sized Farms (2021-2030) ($MN)
  • Table 55 Global Agriculture Analytics Market Outlook, By Large Farms (2021-2030) ($MN)
  • Table 56 Global Agriculture Analytics Market Outlook, By Technology (2021-2030) ($MN)
  • Table 57 Global Agriculture Analytics Market Outlook, By Big Data & Cloud Computing (2021-2030) ($MN)
  • Table 58 Global Agriculture Analytics Market Outlook, By Visualization & Reporting (2021-2030) ($MN)
  • Table 59 Global Agriculture Analytics Market Outlook, By Robotics & Automation (2021-2030) ($MN)
  • Table 60 Global Agriculture Analytics Market Outlook, By Remote Sensing & Satellite Imagery (2021-2030) ($MN)
  • Table 61 Global Agriculture Analytics Market Outlook, By Blockchain Technology (2021-2030) ($MN)
  • Table 62 Global Agriculture Analytics Market Outlook, By Geographic Information System (2021-2030) ($MN)
  • Table 63 Global Agriculture Analytics Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 64 Global Agriculture Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 65 Global Agriculture Analytics Market Outlook, By Crop Management (2021-2030) ($MN)
  • Table 66 Global Agriculture Analytics Market Outlook, By Weather Data Analytics (2021-2030) ($MN)
  • Table 67 Global Agriculture Analytics Market Outlook, By Irrigation & Water Management (2021-2030) ($MN)
  • Table 68 Global Agriculture Analytics Market Outlook, By Transportation (2021-2030) ($MN)
  • Table 69 Global Agriculture Analytics Market Outlook, By Fertilizer Management (2021-2030) ($MN)
  • Table 70 Global Agriculture Analytics Market Outlook, By Field Planning (2021-2030) ($MN)
  • Table 71 Global Agriculture Analytics Market Outlook, By Acquaculture (2021-2030) ($MN)
  • Table 72 Global Agriculture Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 73 Global Agriculture Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 74 Global Agriculture Analytics Market Outlook, By Agronomists (2021-2030) ($MN)
  • Table 75 Global Agriculture Analytics Market Outlook, By Farmers (2021-2030) ($MN)
  • Table 76 Global Agriculture Analytics Market Outlook, By Agricultural Researchers (2021-2030) ($MN)
  • Table 77 Global Agriculture Analytics Market Outlook, By Government Agencies (2021-2030) ($MN)
  • Table 78 Global Agriculture Analytics Market Outlook, By Agribusinesses (2021-2030) ($MN)
  • Table 79 Global Agriculture Analytics Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

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