The Global Agriculture Analytics Market size is expected to reach $3.4 billion by 2030, rising at a market growth of 13.1% CAGR during the forecast period.
By providing valuable insights and facilitating data-driven decision-making, visualization, and reporting play a crucial role in the agriculture analytics market. Therefore, the Visualization & Reporting segment registered $111.2 million revenue in the market in 2022. In this regard, visualization relates to the graphical representation of agricultural data, whereas reporting is the presentation of these visualizations alongside pertinent analysis and findings. The market will be driven by the need for farmers, agronomists, and other stakeholders to rapidly comprehend complex information and recognize patterns or trends that may not be readily evident in unprocessed data.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In February, 2021, IBM Corporation came into partnership with Solinftec, to offer real-time decision-making solutions for agriculture. Additionally, In June, 2023, Deere & Company signed a contract with PCT Agcloud, to support cotton and grain farmers to easily exchange data from their John Deere Operations Center with PCT Agcloud.
Based on the Analysis presented in the KBV Cardinal matrix; Accenture PLC, Deere & Company, Bayer AG and Oracle Corporation are the forerunners in the Market. In June, 2023, Bayer AG came into an agreement with Cargill, Inc, to provide farmers with creative solutions and accelerating optimal price awareness for their produce. Companies such as IBM Corporation, SAP SE and Trimble, Inc. are some of the key innovators in the Market.
Market Growth Factors
Rising demand for efficient resource utilization
Sustainable agriculture requires efficient resource utilization, and agriculture analytics solutions play a crucial role in optimizing resource allocation on farms. With the incorporation of data from multiple sources, such as field sensors, machinery, and weather stations, producers can collect information on the availability and requirements of resources. Farmers may identify the optimal irrigation schedule for their crops, for example, by analyzing soil moisture data from field sensors and meteorological data. This prevents over- and under-watering, reduces water pollution, and ensures crops receive the ideal amount of moisture for growth. Using agriculture analytics solutions facilitates optimal resource utilization, waste reduction, reduced environmental impact, and enhanced sustainability of agricultural practices.
Technological advances including IoT, AI, and ML
By transforming data collection, analysis, and decision-making in the agricultural sector, technological advancements have played a significant role in fostering the adoption of agriculture analytics. First, the development and ubiquitous availability of Internet of Things (IoT) devices, drones, sensors made it possible for farmers to collect real-time data on various operational aspects. This information includes weather patterns, soil conditions, crop health, and equipment performance. The ability to collect such precise and current data has paved the way for more accurate and insightful agricultural analytics. In agriculture, machine learning models can assist with crop disease prediction, irrigation schedule optimization, livestock behavior anomaly detection, and task automation. As additional data is collected, these models can continue to learn and develop.
Market Restraining Factors
Technological understanding and the skills gap
Technological literacy and the skills divide pose significant obstacles to the expansion of the market for agriculture analytics. Lack of awareness and comprehension among farmers and agricultural stakeholders regarding the potential benefits of analytics in agriculture is a significant obstacle. Farmers and agricultural stakeholders who are already pressed for time and have limited resources may find it difficult to keep up with the latest analytics tools and platforms due to their continual introduction. Insufficient ongoing support and training to keep up with advancing technologies can make it hard for users to employ agriculture analytics solutions, thereby impeding market expansion effectively.
Offering Outlook
Based on offerings, the market is bifurcated into solutions and services. In 2022, the solutions segment held the highest revenue share in the market. Advanced technologies and data analysis methods are utilized by agriculture analytics solutions to optimize and enhance agricultural operations. These solutions acquire, process, and analyze immense quantities of data from a variety of sources, such as weather patterns, soil conditions, vegetation growth, and machinery performance.
Agriculture Type Outlook
By agriculture type, the market is classified into precision agriculture, livestock farming, aquaculture farming, vertical farming, and others (organic and conventional agriculture). In 2022, the livestock farming segment generated a remarkable revenue share in the market. Using agriculture analytics solutions and services in livestock farming enables the collection of real-time data regarding animal health, feeding behavior, hygiene, and location monitoring, among others, to improve livestock management and production quality. Improving farm production through the use of RFID, GPS, feeder systems, farm management systems, robotic milking equipment, and other software technology solutions.
End User Outlook
Based on end users, the market is segmented into farmers, agronomists, agribusinesses, agricultural researchers, and government agencies & others. In 2022, the farmers segment held the highest revenue share in the market. Precision agriculture, which incorporates technologies such as GPS, data analytics, and remote sensing, has transformed the way producers manage their operations. These tools allow producers to collect real-time data, generate field maps, and administer inputs such as fertilizers and pesticides with precision.
Farm Size Outlook
Based on farm size, the market is fragmented into large farms and small and medium-sized farms. In 2022, small & medium-sized farms represented a substantial revenue share in the market. Small farms can receive numerous benefits from agricultural analytics, resulting in the expansion of this market segment. Agriculture analytics equips small farmers with the tools and knowledge necessary to optimize their operations, increase productivity, mitigate risks, and make well-informed choices which may result to greater profitability and sustainability.
Technology Outlook
By technology, the market is fragmented into remote sensing & satellite imagery, geographic information system, robotics & automation, big data & cloud computing, visualization & reporting, blockchain technology, and others. In 2022, the remote sensing & satellite segment witnessed the largest revenue share in the market. Utilizing remote sensing and satellite imagery has transformed agriculture analytics by providing invaluable insights and data for optimizing agricultural practices. These technologies enable farmers and researchers to collect information about crop health, land use, and environmental conditions without extensive monitoring on the ground.
Regional Outlook
Region wise, the market is analysed across North America, Europe, Asia-Pacific, and LAMEA. In 2022, the North America region led the market with the maximum revenue share. Farmers and agribusinesses in North America are utilizing data-driven methods to optimize their operations, thereby elevating the significance of agriculture analytics. Farmers and agribusinesses are leveraging analytics to acquire important insights into their operations and make informed choices due to the increasing adoption of advanced technologies and availability of immense quantities of data. Rapid infrastructure advancements, pervasive utilization of digital technologies, and the popularity of data-driven solutions all encourage the growth of the market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
Recent Strategies Deployed in Agriculture Analytics Market
Partnerships, Collaborations & Agreements:
Jun-2023: Bayer AG came into an agreement with Cargill, Inc., a food corporation that develops connections over the global food system. Under this agreement, both companies would transform the agricultural landscape by providing farmers with creative solutions and accelerating optimal price awareness for their produce.
Jun-2023: Deere & Company came into an agreement with Chevron, the parent company of EGO. Under this agreement, both companies would allow brands to utilize EGO battery-powered field care solutions with the help of John Deere traders. This agreement would further advance the power of both firms and broaden the supply of EGO's line of battery-operated OPE through John Deere's honored and strong trader network.
Jun-2023: Deere & Company signed a contract with PCT Agcloud, an independently owned Precision Agriculture software solutions business. This agreement aims to support cotton and grain farmers to easily exchange data from their John Deere Operations Center with PCT Agcloud.
Dec-2022: Accenture PLC signed an agreement with Planet Labs PBC, a company engaged in offering daily data and insights related to Earth. Under this agreement, both companies would support power decision-making at the firm over myriad industries consisting of consumer-packaged goods, agriculture, forestry, energy, and government.
Nov-2022: Trimble Agriculture announced a partnership with xFarm Technologies, a developer of a digital farm management platform. This partnership would support farmers to improve farm management. Moreover, Trimble would give farmers additional profitable and effective solutions through combination with the xFarm smart farming application.
Oct-2022: SAP SE teamed up with DeHaat, an Indian full-stack AgriTech firm focusing on creating an impact in farmers' life. This collaboration aimed to improve Indian agriculture and assist the growth of regional microentrepreneurs by enhancing their economic, social, and environmental sustainability.
Aug-2022: Trimble, Inc. partnered with CLAAS, a manufacturer of agricultural machinery. Following this partnership, both companies would create CLAAS tractors, a next-generation precision farming system that consists of a GPS PILOT steering system, CLAAS CEMIS 1200 "smart" display, and the SAT 900 GNSS receiver.
Oct-2021: SAS Institute, Inc. came into collaboration with Pappas Capital, a venture investment company. Through this collaboration, both companies would help0 to promote North Carolina as a world pioneer in agricultural technology. Following this collaboration, SAS and Pappas would give a limited group of North Carolina Agricultural and food entrepreneurs access to SAS' cloud services, industry-leading analytics tools, and executive leadership from Pappas.
Feb-2021: IBM Corporation came into partnership with Solinftec, a pioneer agricultural platform. Under this partnership, Solinftec's advanced algorithms and artificial intelligence would combine with IBM's unmatched climate-based insights to offer real-time decision-making solutions for agriculture.
Product Launches and Product Expansions:
Oct-2022: Trimble, Inc. launched Trimble GFX-1060 and GFX-1260 displays, next-generation displays for precision agriculture applications. This launch would further allow farmers to complete in-field operations fastly and effectively during monitoring and mapping field information in real-time with accuracy.
Aug-2022: Bayer AG introduced ForGround, a farmer-first digital platform. This launch would revolutionize the way farms of each size would conveniently build the move to sustainable agricultural practices.
Scope of the Study
Market Segments covered in the Report:
By Offering
By Agriculture Type
- Precision Farming
- Livestock Farming
- Aquaculture Farming
- Vertical Farming
- Others
By End User
- Farmers
- Agronomists
- Agribusinesses
- Agricultural Researchers
- Government Agencies & Others
By Farm Size
- Large Farms
- Small & Medium-Sized Farms
By Technology
- Remote Sensing & Satellite Imagery
- Geographic Information System
- Robotics & Automation
- Big Data & Cloud Computing
- Visualization & Reporting
- Blockchain Technology
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Companies Profiled
- IBM Corporation
- SAP SE
- Oracle Corporation
- Accenture PLC
- SAS Institute, Inc.
- Tetra Laval International S.A. (DeLaval)
- Deere & Company
- Bayer AG
- Iteris, Inc.
- Trimble, Inc.
Unique Offerings from KBV Research
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global Agriculture Analytics Market, by Offering
- 1.4.2 Global Agriculture Analytics Market, by Agriculture Type
- 1.4.3 Global Agriculture Analytics Market, by End User
- 1.4.4 Global Agriculture Analytics Market, by Farm Size
- 1.4.5 Global Agriculture Analytics Market, by Technology
- 1.4.6 Global Agriculture Analytics Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market as a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Joint Ventures
- 4.3 Market Share Analysis, 2022
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2019, Apr - 2023, Jun) Leading Players
- 4.5 Porter's Five Forces Analysis
Chapter 5. Global Agriculture Analytics Market by Offering
- 5.1 Global Solution Market by Region
- 5.2 Global Services Market by Region
Chapter 6. Global Agriculture Analytics Market by Agriculture Type
- 6.1 Global Precision Farming Market by Region
- 6.2 Global Livestock Farming Market by Region
- 6.3 Global Aquaculture Farming Market by Region
- 6.4 Global Vertical Farming Market by Region
- 6.5 Global Others Market by Region
Chapter 7. Global Agriculture Analytics Market by End User
- 7.1 Global Farmers Market by Region
- 7.2 Global Agronomists Market by Region
- 7.3 Global Agribusinesses Market by Region
- 7.4 Global Agricultural Researchers Market by Region
- 7.5 Global Government Agencies & Others Market by Region
Chapter 8. Global Agriculture Analytics Market by Farm Size
- 8.1 Global Large Farms Market by Region
- 8.2 Global Small & Medium-Sized Farms Market by Region
Chapter 9. Global Agriculture Analytics Market by Technology
- 9.1 Global Remote Sensing & Satellite Imagery Market by Region
- 9.2 Global Geographic Information System Market by Region
- 9.3 Global Robotics & Automation Market by Region
- 9.4 Global Big Data & Cloud Computing Market by Region
- 9.5 Global Visualization & Reporting Market by Region
- 9.6 Global Blockchain Technology Market by Region
- 9.7 Global Others Market by Region
Chapter 10. Global Agriculture Analytics Market by Region
- 10.1 North America Agriculture Analytics Market
- 10.1.1 North America Agriculture Analytics Market by Offering
- 10.1.1.1 North America Solution Market by Country
- 10.1.1.2 North America Services Market by Country
- 10.1.2 North America Agriculture Analytics Market by Agriculture Type
- 10.1.2.1 North America Precision Farming Market by Country
- 10.1.2.2 North America Livestock Farming Market by Country
- 10.1.2.3 North America Aquaculture Farming Market by Country
- 10.1.2.4 North America Vertical Farming Market by Country
- 10.1.2.5 North America Others Market by Country
- 10.1.3 North America Agriculture Analytics Market by End User
- 10.1.3.1 North America Farmers Market by Country
- 10.1.3.2 North America Agronomists Market by Country
- 10.1.3.3 North America Agribusinesses Market by Country
- 10.1.3.4 North America Agricultural Researchers Market by Country
- 10.1.3.5 North America Government Agencies & Others Market by Country
- 10.1.4 North America Agriculture Analytics Market by Farm Size
- 10.1.4.1 North America Large Farms Market by Country
- 10.1.4.2 North America Small & Medium-Sized Farms Market by Country
- 10.1.5 North America Agriculture Analytics Market by Technology
- 10.1.5.1 North America Remote Sensing & Satellite Imagery Market by Country
- 10.1.5.2 North America Geographic Information System Market by Country
- 10.1.5.3 North America Robotics & Automation Market by Country
- 10.1.5.4 North America Big Data & Cloud Computing Market by Country
- 10.1.5.5 North America Visualization & Reporting Market by Country
- 10.1.5.6 North America Blockchain Technology Market by Country
- 10.1.5.7 North America Others Market by Country
- 10.1.6 North America Agriculture Analytics Market by Country
- 10.1.6.1 US Agriculture Analytics Market
- 10.1.6.1.1 US Agriculture Analytics Market by Offering
- 10.1.6.1.2 US Agriculture Analytics Market by Agriculture Type
- 10.1.6.1.3 US Agriculture Analytics Market by End User
- 10.1.6.1.4 US Agriculture Analytics Market by Farm Size
- 10.1.6.1.5 US Agriculture Analytics Market by Technology
- 10.1.6.2 Canada Agriculture Analytics Market
- 10.1.6.2.1 Canada Agriculture Analytics Market by Offering
- 10.1.6.2.2 Canada Agriculture Analytics Market by Agriculture Type
- 10.1.6.2.3 Canada Agriculture Analytics Market by End User
- 10.1.6.2.4 Canada Agriculture Analytics Market by Farm Size
- 10.1.6.2.5 Canada Agriculture Analytics Market by Technology
- 10.1.6.3 Mexico Agriculture Analytics Market
- 10.1.6.3.1 Mexico Agriculture Analytics Market by Offering
- 10.1.6.3.2 Mexico Agriculture Analytics Market by Agriculture Type
- 10.1.6.3.3 Mexico Agriculture Analytics Market by End User
- 10.1.6.3.4 Mexico Agriculture Analytics Market by Farm Size
- 10.1.6.3.5 Mexico Agriculture Analytics Market by Technology
- 10.1.6.4 Rest of North America Agriculture Analytics Market
- 10.1.6.4.1 Rest of North America Agriculture Analytics Market by Offering
- 10.1.6.4.2 Rest of North America Agriculture Analytics Market by Agriculture Type
- 10.1.6.4.3 Rest of North America Agriculture Analytics Market by End User
- 10.1.6.4.4 Rest of North America Agriculture Analytics Market by Farm Size
- 10.1.6.4.5 Rest of North America Agriculture Analytics Market by Technology
- 10.2 Europe Agriculture Analytics Market
- 10.2.1 Europe Agriculture Analytics Market by Offering
- 10.2.1.1 Europe Solution Market by Country
- 10.2.1.2 Europe Services Market by Country
- 10.2.2 Europe Agriculture Analytics Market by Agriculture Type
- 10.2.2.1 Europe Precision Farming Market by Country
- 10.2.2.2 Europe Livestock Farming Market by Country
- 10.2.2.3 Europe Aquaculture Farming Market by Country
- 10.2.2.4 Europe Vertical Farming Market by Country
- 10.2.2.5 Europe Others Market by Country
- 10.2.3 Europe Agriculture Analytics Market by End User
- 10.2.3.1 Europe Farmers Market by Country
- 10.2.3.2 Europe Agronomists Market by Country
- 10.2.3.3 Europe Agribusinesses Market by Country
- 10.2.3.4 Europe Agricultural Researchers Market by Country
- 10.2.3.5 Europe Government Agencies & Others Market by Country
- 10.2.4 Europe Agriculture Analytics Market by Farm Size
- 10.2.4.1 Europe Large Farms Market by Country
- 10.2.4.2 Europe Small & Medium-Sized Farms Market by Country
- 10.2.5 Europe Agriculture Analytics Market by Technology
- 10.2.5.1 Europe Remote Sensing & Satellite Imagery Market by Country
- 10.2.5.2 Europe Geographic Information System Market by Country
- 10.2.5.3 Europe Robotics & Automation Market by Country
- 10.2.5.4 Europe Big Data & Cloud Computing Market by Country
- 10.2.5.5 Europe Visualization & Reporting Market by Country
- 10.2.5.6 Europe Blockchain Technology Market by Country
- 10.2.5.7 Europe Others Market by Country
- 10.2.6 Europe Agriculture Analytics Market by Country
- 10.2.6.1 Germany Agriculture Analytics Market
- 10.2.6.1.1 Germany Agriculture Analytics Market by Offering
- 10.2.6.1.2 Germany Agriculture Analytics Market by Agriculture Type
- 10.2.6.1.3 Germany Agriculture Analytics Market by End User
- 10.2.6.1.4 Germany Agriculture Analytics Market by Farm Size
- 10.2.6.1.5 Germany Agriculture Analytics Market by Technology
- 10.2.6.2 UK Agriculture Analytics Market
- 10.2.6.2.1 UK Agriculture Analytics Market by Offering
- 10.2.6.2.2 UK Agriculture Analytics Market by Agriculture Type
- 10.2.6.2.3 UK Agriculture Analytics Market by End User
- 10.2.6.2.4 UK Agriculture Analytics Market by Farm Size
- 10.2.6.2.5 UK Agriculture Analytics Market by Technology
- 10.2.6.3 France Agriculture Analytics Market
- 10.2.6.3.1 France Agriculture Analytics Market by Offering
- 10.2.6.3.2 France Agriculture Analytics Market by Agriculture Type
- 10.2.6.3.3 France Agriculture Analytics Market by End User
- 10.2.6.3.4 France Agriculture Analytics Market by Farm Size
- 10.2.6.3.5 France Agriculture Analytics Market by Technology
- 10.2.6.4 Russia Agriculture Analytics Market
- 10.2.6.4.1 Russia Agriculture Analytics Market by Offering
- 10.2.6.4.2 Russia Agriculture Analytics Market by Agriculture Type
- 10.2.6.4.3 Russia Agriculture Analytics Market by End User
- 10.2.6.4.4 Russia Agriculture Analytics Market by Farm Size
- 10.2.6.4.5 Russia Agriculture Analytics Market by Technology
- 10.2.6.5 Spain Agriculture Analytics Market
- 10.2.6.5.1 Spain Agriculture Analytics Market by Offering
- 10.2.6.5.2 Spain Agriculture Analytics Market by Agriculture Type
- 10.2.6.5.3 Spain Agriculture Analytics Market by End User
- 10.2.6.5.4 Spain Agriculture Analytics Market by Farm Size
- 10.2.6.5.5 Spain Agriculture Analytics Market by Technology
- 10.2.6.6 Italy Agriculture Analytics Market
- 10.2.6.6.1 Italy Agriculture Analytics Market by Offering
- 10.2.6.6.2 Italy Agriculture Analytics Market by Agriculture Type
- 10.2.6.6.3 Italy Agriculture Analytics Market by End User
- 10.2.6.6.4 Italy Agriculture Analytics Market by Farm Size
- 10.2.6.6.5 Italy Agriculture Analytics Market by Technology
- 10.2.6.7 Rest of Europe Agriculture Analytics Market
- 10.2.6.7.1 Rest of Europe Agriculture Analytics Market by Offering
- 10.2.6.7.2 Rest of Europe Agriculture Analytics Market by Agriculture Type
- 10.2.6.7.3 Rest of Europe Agriculture Analytics Market by End User
- 10.2.6.7.4 Rest of Europe Agriculture Analytics Market by Farm Size
- 10.2.6.7.5 Rest of Europe Agriculture Analytics Market by Technology
- 10.3 Asia Pacific Agriculture Analytics Market
- 10.3.1 Asia Pacific Agriculture Analytics Market by Offering
- 10.3.1.1 Asia Pacific Solution Market by Country
- 10.3.1.2 Asia Pacific Services Market by Country
- 10.3.2 Asia Pacific Agriculture Analytics Market by Agriculture Type
- 10.3.2.1 Asia Pacific Precision Farming Market by Country
- 10.3.2.2 Asia Pacific Livestock Farming Market by Country
- 10.3.2.3 Asia Pacific Aquaculture Farming Market by Country
- 10.3.2.4 Asia Pacific Vertical Farming Market by Country
- 10.3.2.5 Asia Pacific Others Market by Country
- 10.3.3 Asia Pacific Agriculture Analytics Market by End User
- 10.3.3.1 Asia Pacific Farmers Market by Country
- 10.3.3.2 Asia Pacific Agronomists Market by Country
- 10.3.3.3 Asia Pacific Agribusinesses Market by Country
- 10.3.3.4 Asia Pacific Agricultural Researchers Market by Country
- 10.3.3.5 Asia Pacific Government Agencies & Others Market by Country
- 10.3.4 Asia Pacific Agriculture Analytics Market by Farm Size
- 10.3.4.1 Asia Pacific Large Farms Market by Country
- 10.3.4.2 Asia Pacific Small & Medium-Sized Farms Market by Country
- 10.3.5 Asia Pacific Agriculture Analytics Market by Technology
- 10.3.5.1 Asia Pacific Remote Sensing & Satellite Imagery Market by Country
- 10.3.5.2 Asia Pacific Geographic Information System Market by Country
- 10.3.5.3 Asia Pacific Robotics & Automation Market by Country
- 10.3.5.4 Asia Pacific Big Data & Cloud Computing Market by Country
- 10.3.5.5 Asia Pacific Visualization & Reporting Market by Country
- 10.3.5.6 Asia Pacific Blockchain Technology Market by Country
- 10.3.5.7 Asia Pacific Others Market by Country
- 10.3.6 Asia Pacific Agriculture Analytics Market by Country
- 10.3.6.1 China Agriculture Analytics Market
- 10.3.6.1.1 China Agriculture Analytics Market by Offering
- 10.3.6.1.2 China Agriculture Analytics Market by Agriculture Type
- 10.3.6.1.3 China Agriculture Analytics Market by End User
- 10.3.6.1.4 China Agriculture Analytics Market by Farm Size
- 10.3.6.1.5 China Agriculture Analytics Market by Technology
- 10.3.6.2 Japan Agriculture Analytics Market
- 10.3.6.2.1 Japan Agriculture Analytics Market by Offering
- 10.3.6.2.2 Japan Agriculture Analytics Market by Agriculture Type
- 10.3.6.2.3 Japan Agriculture Analytics Market by End User
- 10.3.6.2.4 Japan Agriculture Analytics Market by Farm Size
- 10.3.6.2.5 Japan Agriculture Analytics Market by Technology
- 10.3.6.3 India Agriculture Analytics Market
- 10.3.6.3.1 India Agriculture Analytics Market by Offering
- 10.3.6.3.2 India Agriculture Analytics Market by Agriculture Type
- 10.3.6.3.3 India Agriculture Analytics Market by End User
- 10.3.6.3.4 India Agriculture Analytics Market by Farm Size
- 10.3.6.3.5 India Agriculture Analytics Market by Technology
- 10.3.6.4 South Korea Agriculture Analytics Market
- 10.3.6.4.1 South Korea Agriculture Analytics Market by Offering
- 10.3.6.4.2 South Korea Agriculture Analytics Market by Agriculture Type
- 10.3.6.4.3 South Korea Agriculture Analytics Market by End User
- 10.3.6.4.4 South Korea Agriculture Analytics Market by Farm Size
- 10.3.6.4.5 South Korea Agriculture Analytics Market by Technology
- 10.3.6.5 Singapore Agriculture Analytics Market
- 10.3.6.5.1 Singapore Agriculture Analytics Market by Offering
- 10.3.6.5.2 Singapore Agriculture Analytics Market by Agriculture Type
- 10.3.6.5.3 Singapore Agriculture Analytics Market by End User
- 10.3.6.5.4 Singapore Agriculture Analytics Market by Farm Size
- 10.3.6.5.5 Singapore Agriculture Analytics Market by Technology
- 10.3.6.6 Malaysia Agriculture Analytics Market
- 10.3.6.6.1 Malaysia Agriculture Analytics Market by Offering
- 10.3.6.6.2 Malaysia Agriculture Analytics Market by Agriculture Type
- 10.3.6.6.3 Malaysia Agriculture Analytics Market by End User
- 10.3.6.6.4 Malaysia Agriculture Analytics Market by Farm Size
- 10.3.6.6.5 Malaysia Agriculture Analytics Market by Technology
- 10.3.6.7 Rest of Asia Pacific Agriculture Analytics Market
- 10.3.6.7.1 Rest of Asia Pacific Agriculture Analytics Market by Offering
- 10.3.6.7.2 Rest of Asia Pacific Agriculture Analytics Market by Agriculture Type
- 10.3.6.7.3 Rest of Asia Pacific Agriculture Analytics Market by End User
- 10.3.6.7.4 Rest of Asia Pacific Agriculture Analytics Market by Farm Size
- 10.3.6.7.5 Rest of Asia Pacific Agriculture Analytics Market by Technology
- 10.4 LAMEA Agriculture Analytics Market
- 10.4.1 LAMEA Agriculture Analytics Market by Offering
- 10.4.1.1 LAMEA Solution Market by Country
- 10.4.1.2 LAMEA Services Market by Country
- 10.4.2 LAMEA Agriculture Analytics Market by Agriculture Type
- 10.4.2.1 LAMEA Precision Farming Market by Country
- 10.4.2.2 LAMEA Livestock Farming Market by Country
- 10.4.2.3 LAMEA Aquaculture Farming Market by Country
- 10.4.2.4 LAMEA Vertical Farming Market by Country
- 10.4.2.5 LAMEA Others Market by Country
- 10.4.3 LAMEA Agriculture Analytics Market by End User
- 10.4.3.1 LAMEA Farmers Market by Country
- 10.4.3.2 LAMEA Agronomists Market by Country
- 10.4.3.3 LAMEA Agribusinesses Market by Country
- 10.4.3.4 LAMEA Agricultural Researchers Market by Country
- 10.4.3.5 LAMEA Government Agencies & Others Market by Country
- 10.4.4 LAMEA Agriculture Analytics Market by Farm Size
- 10.4.4.1 LAMEA Large Farms Market by Country
- 10.4.4.2 LAMEA Small & Medium-Sized Farms Market by Country
- 10.4.5 LAMEA Agriculture Analytics Market by Technology
- 10.4.5.1 LAMEA Remote Sensing & Satellite Imagery Market by Country
- 10.4.5.2 LAMEA Geographic Information System Market by Country
- 10.4.5.3 LAMEA Robotics & Automation Market by Country
- 10.4.5.4 LAMEA Big Data & Cloud Computing Market by Country
- 10.4.5.5 LAMEA Visualization & Reporting Market by Country
- 10.4.5.6 LAMEA Blockchain Technology Market by Country
- 10.4.5.7 LAMEA Others Market by Country
- 10.4.6 LAMEA Agriculture Analytics Market by Country
- 10.4.6.1 Brazil Agriculture Analytics Market
- 10.4.6.1.1 Brazil Agriculture Analytics Market by Offering
- 10.4.6.1.2 Brazil Agriculture Analytics Market by Agriculture Type
- 10.4.6.1.3 Brazil Agriculture Analytics Market by End User
- 10.4.6.1.4 Brazil Agriculture Analytics Market by Farm Size
- 10.4.6.1.5 Brazil Agriculture Analytics Market by Technology
- 10.4.6.2 Argentina Agriculture Analytics Market
- 10.4.6.2.1 Argentina Agriculture Analytics Market by Offering
- 10.4.6.2.2 Argentina Agriculture Analytics Market by Agriculture Type
- 10.4.6.2.3 Argentina Agriculture Analytics Market by End User
- 10.4.6.2.4 Argentina Agriculture Analytics Market by Farm Size
- 10.4.6.2.5 Argentina Agriculture Analytics Market by Technology
- 10.4.6.3 UAE Agriculture Analytics Market
- 10.4.6.3.1 UAE Agriculture Analytics Market by Offering
- 10.4.6.3.2 UAE Agriculture Analytics Market by Agriculture Type
- 10.4.6.3.3 UAE Agriculture Analytics Market by End User
- 10.4.6.3.4 UAE Agriculture Analytics Market by Farm Size
- 10.4.6.3.5 UAE Agriculture Analytics Market by Technology
- 10.4.6.4 Saudi Arabia Agriculture Analytics Market
- 10.4.6.4.1 Saudi Arabia Agriculture Analytics Market by Offering
- 10.4.6.4.2 Saudi Arabia Agriculture Analytics Market by Agriculture Type
- 10.4.6.4.3 Saudi Arabia Agriculture Analytics Market by End User
- 10.4.6.4.4 Saudi Arabia Agriculture Analytics Market by Farm Size
- 10.4.6.4.5 Saudi Arabia Agriculture Analytics Market by Technology
- 10.4.6.5 South Africa Agriculture Analytics Market
- 10.4.6.5.1 South Africa Agriculture Analytics Market by Offering
- 10.4.6.5.2 South Africa Agriculture Analytics Market by Agriculture Type
- 10.4.6.5.3 South Africa Agriculture Analytics Market by End User
- 10.4.6.5.4 South Africa Agriculture Analytics Market by Farm Size
- 10.4.6.5.5 South Africa Agriculture Analytics Market by Technology
- 10.4.6.6 Nigeria Agriculture Analytics Market
- 10.4.6.6.1 Nigeria Agriculture Analytics Market by Offering
- 10.4.6.6.2 Nigeria Agriculture Analytics Market by Agriculture Type
- 10.4.6.6.3 Nigeria Agriculture Analytics Market by End User
- 10.4.6.6.4 Nigeria Agriculture Analytics Market by Farm Size
- 10.4.6.6.5 Nigeria Agriculture Analytics Market by Technology
- 10.4.6.7 Rest of LAMEA Agriculture Analytics Market
- 10.4.6.7.1 Rest of LAMEA Agriculture Analytics Market by Offering
- 10.4.6.7.2 Rest of LAMEA Agriculture Analytics Market by Agriculture Type
- 10.4.6.7.3 Rest of LAMEA Agriculture Analytics Market by End User
- 10.4.6.7.4 Rest of LAMEA Agriculture Analytics Market by Farm Size
- 10.4.6.7.5 Rest of LAMEA Agriculture Analytics Market by Technology
Chapter 11. Company Profiles
- 11.1 IBM Corporation
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Regional & Segmental Analysis
- 11.1.4 Research & Development Expenses
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Partnerships, Collaborations, and Agreements:
- 11.1.5.2 Product Launches and Product Expansions:
- 11.1.6 SWOT Analysis
- 11.2 Bayer AG
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental and Regional Analysis
- 11.2.4 Research & Development Expense
- 11.2.5 Recent strategies and developments:
- 11.2.5.1 Product Launches and Product Expansions:
- 11.2.5.2 Partnerships, Collaborations & Agreements
- 11.2.6 SWOT Analysis
- 11.3 SAP SE
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Partnerships, Collaborations & Agreements:
- 11.3.6 SWOT Analysis
- 11.4 Oracle Corporation
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expense
- 11.4.5 SWOT Analysis
- 11.5 Accenture PLC
- 11.5.1 Company Overview
- 11.5.2 Financial Analysis
- 11.5.3 Segmental and Regional Analysis
- 11.5.4 Research & Development Expenses
- 11.5.5 Recent strategies and developments:
- 11.5.5.1 Partnerships, Collaborations, and Agreements:
- 11.5.6 SWOT Analysis
- 11.6 Tetra Laval International S.A. (DeLaval)
- 11.6.1 Company Overview
- 11.6.2 Financial Analysis
- 11.6.3 Segmental and Regional Analysis
- 11.6.4 Regional Analysis of Tetra Pak
- 11.6.5 Regional Analysis of Sidel
- 11.6.6 Regional Analysis of DeLaval
- 11.6.7 SWOT Analysis
- 11.7 Deere & Company
- 11.7.1 Company Overview
- 11.7.2 Financial Analysis
- 11.7.3 Segmental and Regional Analysis
- 11.7.4 Research & Development Expenses
- 11.7.5 Recent strategies and developments:
- 11.7.5.1 Partnerships, Collaborations & Agreements
- 11.7.6 SWOT Analysis
- 11.8 Iteris, Inc.
- 11.8.1 Company Overview
- 11.8.2 Financial Analysis
- 11.8.3 Research & Development Expenses
- 11.8.4 Recent strategies and developments:
- 11.8.4.1 Partnerships, Collaborations, and Agreements:
- 11.8.5 SWOT Analysis
- 11.9 Trimble, Inc.
- 11.9.1 Company Overview
- 11.9.2 Financial Analysis
- 11.9.3 Segmental and Regional Analysis
- 11.9.4 Research & Development Expenses
- 11.9.5 Recent strategies and developments:
- 11.9.5.1 Partnerships, Collaborations, and Agreements:
- 11.9.5.2 Product Launches and Product Expansions:
- 11.9.6 SWOT Analysis
- 11.10. SAS Institute, Inc.
- 11.10.1 Company Overview
- 11.10.2 Recent strategies and developments:
- 11.10.2.1 Partnerships, Collaborations, and Agreements:
- 11.10.1 SWOT Analysis
Chapter 12. Winning Imperative for Agriculture Analytics Market