Global Agriculture Analytics Market Overview

Global Agriculture Analytics Market size was valued at USD 1.02 Billion in 2021, and is projected to reach USD 2.25 Billion by 2028, growing at a CAGR of 11.9% from 2022 to 2028.

Agricultural analytics is defined as the use of technologies such as IoT, big data, and other analytical tools in the agricultural sector. Smart farming is part of agricultural analytics and a breakthrough application of science and technology across agriculture. It is used widely to understand different aspects of agriculture such as irrigation and cultivation. Various technologies such as IoT, remote sensing application control, GPS, etc., are used in agricultural analytics. Agricultural analytics is designed to improve several farming techniques, using complementary technologies such as drones, satellites, and others to make better decisions. Increased food consumption and the need for fertile land are likely to boost demand. The great potential of urban farming, where people grow vegetables in their gardens and at home, could boost the growth of the market. The ability to feed local communities and the benefits of protecting crops from environmental stresses could bode well for the market. Farmers can use big data and artificial intelligence to increase their potential and significantly increase crop production.

Market Dynamics And Factors For Agriculture Analytics Market

Drivers:

Growing Urban Farming Potential

Urban farming has become a popular trend around the world in recent decades in terms of growing food both on rooftop gardens & community plots. From providing locally grown crops to urban residents to offering various health benefits, urban farming has many advantages. By monitoring the crops closely, consumers can adhere to the existing government regulations and avoid the overuse of any chemicals in urban farming. This further leads to increased profitability as crops don’t get destroyed by any sort of chemicals, insects, or weeds. With the growing digitalization, the rapid adoption of modern farm practices is highly adopted, which boosts the market growth of agriculture analytics. Urban farming also has a positive impact on the environment in regards to improving air quality and reducing heavy rainfall runoff. Urban farming has the potential to offer a fresher product with less spoilage, and lower transportation emissions than a similar rural operation, which drives the growth of the market. Moreover, by leveraging AI and big data analytics, urban farmers can improve crop efficiency and save as much as they can, manage supply chain issues, maximize the potential of space, and improve profitability. Henceforth, owing to such potential benefits of urban farming, the market of agriculture analytics is expected to witness huge growth over the forecasted period.

Rising Demand for High-quality Food

According to the United Nations, the world's population is projected to reach 9.8 billion by 2050, with about 83 million people adding to the world's population each year. It is also expected that the demand and consumption of crops for high-quality food, feed, and fuel will grow rapidly. This rising demand for healthy, nutritious, and high-quality food products is encouraging farmers and producers to increase crop production at prescribed times. Further, to meet these growing demands, technology providers all across the world are developing innovative solutions for the agricultural industry intending to enhance crop production and profitability. The use of IoT devices to monitor favorable weather conditions for agriculture, soils, & crops, and to manage livestock, dairy, and other modern practices will generate vast amounts of data, allowing farmers to change their offerings. Moreover, the increasing number of profitable solutions due to advances in big data, IoT, and cloud computing has a positive impact on the market growth. Therefore, the rapid rise in population accompanied by huge demand for high-quality food and increasing farmers' interest in implementing data-driven decision-making techniques are boosting the growth of the agricultural analytics market.

Restraints:

High Costs of Gathering of Relevant Data

Adoption of satellite analytics can cushion the market demand, but the high costs of collection of relevant data as well as a huge initial capital investment are likely to hamper the market growth of agriculture analytics. The utilization of tractors & drones for navigation and mapping is very costly and can increase crop production rates. The high cost of gathering such precise data is the major factor restraining the market growth. AI technology requires high initial investments, skilled farmers, and specific farming tools, for gathering precise field data. Huge investments in GPS, GIS, and drones to collect data for variable rate application technology from satellites and other GPS devices are expensive which may limit their usage. Also, owing to the high cost of AI-based farming, as it contains data acquisition for geospatial data, the agriculture analytics market is expected to witness slow growth.

Opportunity:

Upcoming Opportunity for the Deployment of Big Data in Agriculture Industry

Big data offers potential growth opportunities by truly revolutionizing the agricultural sector. The growth can be attributed only to having a cloud-based ecosystem along with appropriate software & tools to integrate data sources. Additionally, to cater to the pressures of growing food demand and climate change, major players are seeking assistance from technology experts such as IoT, analytics, big data, and cloud computing. Moreover, the capability of Big Data to track physical items, gather real-time data, as well as predict future scenarios can offer profitable opportunities in farming practices. Big data provides farmers with detailed data on rainfall patterns, fertilizer requirements, water cycles, etc., enabling them to make better smart decisions. The right decisions ultimately improve farm yields and thus can create a positive impact on the agriculture analytics market. Major players in the market also opt for such advanced technologies, which are projected to boost the market. For instance, Companies like John Deere have majorly integrated sensors in their agriculture equipment and deployed big data applications that will help them to better fleet management. Big Data is also helpful in optimizing the usage and ensuring the long-term health of farm equipment, and thus, deploying it in the agriculture industry will create great opportunities in the upcoming years.

Challenges:

Lack of an API Economy & Data Standards in Agriculture

Application programming interfaces (APIs) have become a major factor in operational efficiency, scalability, and profitability for most organizations. Unfortunately, many organizations lack the adaption of API economy, and API security expertise, thus leading to downplaying the API-related risks or cyberattacks. Even the largest organizations with large security budgets are not safe from such types of attacks. This lack of expertise and absolute lack of API economics pose a major challenge to the growth of the agricultural analytics market. Moreover, the development and adaptation of various data standards is a key component of agricultural solutions. Data standards help define the structure and format of information sent and received between two or more devices. Technology has provided many tools to help farmers irrigate their land more efficiently, but due to the lack of data standards in agriculture, the growth of this market can be stunted. Merging precision farming technologies often provide various benefits in tracking their products, but the lack of data standards & interoperability between suppliers & manufacturers, create crucial challenges as dissimilar platforms and products began to multiply.

Segmentation Analysis Of Agriculture Analytics Market

By Component, the solution segment is estimated to dominate the growth of the agriculture analytics market. The rising need for several agribusinesses to effectively analyze and collect critical farm-related data for maximizing crop production, and better decision-making is the major factor propelling the growth of this segment. Analytics solutions for agriculture enable farmers to correlate a wide range of data to gain valuable insights and improve crop productivity, further driving the market growth. The software segment is expected to grow rapidly, and this growth will be driven primarily by the ability of agricultural analytics software to manage agricultural costs and transactions and enable varied IoT devices to perform their tasks efficiently.

By Deployment, cloud-based is the major dominating segment of the agriculture analytics market. The rapid growth of this segment is primarily due to easy access, reliable security, low maintenance, and affordability. The major advantages of the cloud provider concerning SaaS, IaaS, and PaaS for agricultural analytics contribute to the huge growth of this segment. Moreover, an increasing number of innovative solutions due to advances in big data, cloud computing, and IoT are expected to have a positive impact on the market growth.

By Application, the livestock analytics segment is expected to dominate the agriculture analytics market. Agricultural analytics solutions and services help livestock producers make better decisions by gathering real-time information about animals and driving multiple livestock processes such as behavior monitoring and management, milk harvesting, feeding management, heat stress management, calf management, breed management, cattle sorting, and genetic management. Mismanagement of animals following their diet and tracking can cost farmers a major loss. Farmers are therefore investing in analytical solutions that help them manage the livestock production process for high-quality production, thereby boosting the growth of this segment.

Regional Analysis Of Agriculture Analytics Market

North America is the major region that dominates the growth of the agriculture analytics market. Technological advances in traditional farming activities and improvements in farming techniques in the countries of the region are estimated to boost the growth of the regional agricultural analytics market. The huge rise in the adoption of big data IoT sensors on large farms in countries in the region, resulting in improved crop yields and efficiencies, is a major factor contributing to the rapidly growing demand for agricultural analytics. Moreover, the increasing need among farmers, traders, and distributors to enhance agricultural supply chain management with an intent to minimize waste and excess inventories propels the increased use of agricultural analytics in the North American region. Additionally, the presence of key market players such as Deere & Company, Trimble, IBM, Oracle, and Iteris is anticipated to boost the market growth of agricultural analytics in the North American region.

The Asia Pacific is the fastest-growing region of the agriculture analytics market. This growth is largely driven by a rapidly developing economy, rapid growth in disposable incomes, high-scale infrastructure development, the presence of a tech-savvy & millennial population in the region, increasing adoption of smartphones & cloud computing, huge government support, and a developing sense of environmental responsibility. Growing food demand driven by population growth in major countries in the Asia Pacific region is boosting the steady adoption of advanced technologies such as Big data, IoT, etc., in the agricultural sector. Moreover, the increasing initiatives by the governments in this region to use advanced technologies in agriculture to maximize crop production is another factor cushioning the demand for agricultural analytics. The growing need for accurate local weather forecasts to help farmers prepare for extreme weather is further estimated to drive the market growth of agriculture analytics in the Asia Pacific region.

Covid-19 Impact Analysis On Agriculture Analytics Market

The Covid-19 pandemic had an adverse impact globally, due to which many industries faced dire consequences. The agriculture, food and related industries have been severely impacted by the pandemic, due to the temporary lockdown, shutdown, trade barriers, as well as decline in import-export of goods. As incidences of Covid-19 rapidly increased worldwide, disruptions to the regular agri-food supply chains are faced by several countries. The Data Analytics Technology market in the agricultural industries has a moderate impact, and a slow recovery is observed in recent months. However, the agriculture analytics market has been stagnant during the past few months due to the low adoption rate of analytics solutions among farmers. The potential global recession has resulted in restricted investments, funding, and expenses for goods and services consumption, which is projected to affect the adoption rate of analytics in the agriculture industry. Additionally, the key solution providers of agriculture analytics had to undergo several challenges in innovation & productivity, creating growth opportunities to flourish, and so on. Moreover, budget issues, unplanned expenses, as well as economic imbalance, have majorly affected the start-ups in the agriculture analytics market.

Top Key Players Covered In Agriculture Analytics Market

  • Deere & Company (US)
  • IBM (US)
  • SAP SE (Germany)
  • Trimble(US)
  • Monsanto (US)
  • Oracle (US)
  • Accenture (Ireland)
  • Iteris (US)
  • Taranis (Israel)
  • Agribotix (US)
  • Agrivi (UK)
  • DTN (US)
  • aWhere (US)
  • Conservis Corporation (US)
  • DeLaval (Sweden)
  • FBN (US)
  • Farmers Edge (US)
  • GEOSYS (US)
  • Granular (US)
  • Gro Intelligence (US), and other major players.

Key Industry Development In The Agriculture Analytics Market

In January 2022, EarthDaily Analytics Corp., a vertically-integrated data processing and analytics company pairing cutting-edge Big Data tools with proven Space technologies, announced the rebranding of its Geosys division to EarthDaily Agro. The Company further announced the launch of a new, next-generation software platform offering best-in-class agricultural analytics service with unmatched reach, quality, speed, and integration capabilities.

In March 2020, Arable launched a new generation of IoT tools for data-driven farming. The company has introduced a new Mark 2 sensor, a new mobile app, a sensor-integrating bridge device, and Arable Open, a customizable applications programming interface that partners can use. This effective solution comes as rising pressures around climate resiliency, mitigation, and adaptation are revealing the urgent need for thoughtful and efficient land use.

Global Agriculture Analytics Market

Base Year:

2021

Forecast Period:

2022-2028

Historical Data:

2016 to 2020

Market Size in 2021:

USD 1.02 Bn.

Forecast Period 2022-28 CAGR:

11.9%

Market Size in 2028:

USD 2.25 Bn.

Segments Covered:

By Component

  • Solutions
  • Services

By Deployment

  • On-Premise
  • Cloud-based

By Application

  • Farm Analytics
  • Livestock Analytics
  • Aquaculture Analytics
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Growing Urban Farming Potential
  • Rising Demand for High-quality Food

Key Market Restraints:

  • High Costs of Gathering of Relevant Data

Key Opportunities:

  • Upcoming Opportunity for the Deployment of Big Data in Agriculture Industry

Companies Covered in the report:

  • Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), and Other major players.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Component
 3.2 By Deployment
 3.3 By Application

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Agriculture Analytics Market by Component
 5.1 Agriculture Analytics Market Overview Snapshot and Growth Engine
 5.2 Agriculture Analytics Market Overview
 5.3 Solutions
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Solutions: Grographic Segmentation
 5.4 Services
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Services: Grographic Segmentation

Chapter 6: Agriculture Analytics Market by Deployment
 6.1 Agriculture Analytics Market Overview Snapshot and Growth Engine
 6.2 Agriculture Analytics Market Overview
 6.3 On-Premise
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 On-Premise: Grographic Segmentation
 6.4 Cloud-based
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Cloud-based: Grographic Segmentation

Chapter 7: Agriculture Analytics Market by Application
 7.1 Agriculture Analytics Market Overview Snapshot and Growth Engine
 7.2 Agriculture Analytics Market Overview
 7.3 Farm Analytics
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Farm Analytics: Grographic Segmentation
 7.4 Livestock Analytics
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Livestock Analytics: Grographic Segmentation
 7.5 Aquaculture Analytics
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2016-2028F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Aquaculture Analytics: Grographic Segmentation
 7.6 Others
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size (2016-2028F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Others: Grographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Positioning
  8.1.2 Agriculture Analytics Sales and Market Share By Players
  8.1.3 Industry BCG Matrix
  8.1.4 Ansoff Matrix
  8.1.5 Agriculture Analytics Industry Concentration Ratio (CR5 and HHI)
  8.1.6 Top 5 Agriculture Analytics Players Market Share
  8.1.7 Mergers and Acquisitions
  8.1.8 Business Strategies By Top Players
 8.2 DEERE & COMPANY
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Operating Business Segments
  8.2.5 Product Portfolio
  8.2.6 Business Performance
  8.2.7 Key Strategic Moves and Recent Developments
  8.2.8 SWOT Analysis
 8.3 IBM
 8.4 SAP SE
 8.5 TRIMBLE
 8.6 MONSANTO
 8.7 ORACLE
 8.8 ACCENTURE
 8.9 ITERIS
 8.10 TARANIS
 8.11 AGRIBOTIX
 8.12 AGRIVI
 8.13 DTN
 8.14 AWHERE
 8.15 CONSERVIS CORPORATION
 8.16 DELAVAL
 8.17 FBN
 8.18 FARMERS EDGE
 8.19 GEOSYS
 8.20 GRANULAR
 8.21 GRO INTELLIGENCE
 8.22 OTHER MAJOR PLAYERS

Chapter 9: Global Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 9.1 Market Overview
 9.2 Historic and Forecasted Market Size By Component
  9.2.1 Solutions
  9.2.2 Services
 9.3 Historic and Forecasted Market Size By Deployment
  9.3.1 On-Premise
  9.3.2 Cloud-based
 9.4 Historic and Forecasted Market Size By Application
  9.4.1 Farm Analytics
  9.4.2 Livestock Analytics
  9.4.3 Aquaculture Analytics
  9.4.4 Others

Chapter 10: North America Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Component
  10.4.1 Solutions
  10.4.2 Services
 10.5 Historic and Forecasted Market Size By Deployment
  10.5.1 On-Premise
  10.5.2 Cloud-based
 10.6 Historic and Forecasted Market Size By Application
  10.6.1 Farm Analytics
  10.6.2 Livestock Analytics
  10.6.3 Aquaculture Analytics
  10.6.4 Others
 10.7 Historic and Forecast Market Size by Country
  10.7.1 U.S.
  10.7.2 Canada
  10.7.3 Mexico

Chapter 11: Europe Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Component
  11.4.1 Solutions
  11.4.2 Services
 11.5 Historic and Forecasted Market Size By Deployment
  11.5.1 On-Premise
  11.5.2 Cloud-based
 11.6 Historic and Forecasted Market Size By Application
  11.6.1 Farm Analytics
  11.6.2 Livestock Analytics
  11.6.3 Aquaculture Analytics
  11.6.4 Others
 11.7 Historic and Forecast Market Size by Country
  11.7.1 Germany
  11.7.2 U.K.
  11.7.3 France
  11.7.4 Italy
  11.7.5 Russia
  11.7.6 Spain
  11.7.7 Rest of Europe

Chapter 12: Asia-Pacific Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Component
  12.4.1 Solutions
  12.4.2 Services
 12.5 Historic and Forecasted Market Size By Deployment
  12.5.1 On-Premise
  12.5.2 Cloud-based
 12.6 Historic and Forecasted Market Size By Application
  12.6.1 Farm Analytics
  12.6.2 Livestock Analytics
  12.6.3 Aquaculture Analytics
  12.6.4 Others
 12.7 Historic and Forecast Market Size by Country
  12.7.1 China
  12.7.2 India
  12.7.3 Japan
  12.7.4 Singapore
  12.7.5 Australia
  12.7.6 New Zealand
  12.7.7 Rest of APAC

Chapter 13: Middle East & Africa Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Component
  13.4.1 Solutions
  13.4.2 Services
 13.5 Historic and Forecasted Market Size By Deployment
  13.5.1 On-Premise
  13.5.2 Cloud-based
 13.6 Historic and Forecasted Market Size By Application
  13.6.1 Farm Analytics
  13.6.2 Livestock Analytics
  13.6.3 Aquaculture Analytics
  13.6.4 Others
 13.7 Historic and Forecast Market Size by Country
  13.7.1 Turkey
  13.7.2 Saudi Arabia
  13.7.3 Iran
  13.7.4 UAE
  13.7.5 Africa
  13.7.6 Rest of MEA

Chapter 14: South America Agriculture Analytics Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Component
  14.4.1 Solutions
  14.4.2 Services
 14.5 Historic and Forecasted Market Size By Deployment
  14.5.1 On-Premise
  14.5.2 Cloud-based
 14.6 Historic and Forecasted Market Size By Application
  14.6.1 Farm Analytics
  14.6.2 Livestock Analytics
  14.6.3 Aquaculture Analytics
  14.6.4 Others
 14.7 Historic and Forecast Market Size by Country
  14.7.1 Brazil
  14.7.2 Argentina
  14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

Global Agriculture Analytics Market

Base Year:

2021

Forecast Period:

2022-2028

Historical Data:

2016 to 2020

Market Size in 2021:

USD 1.02 Bn.

Forecast Period 2022-28 CAGR:

11.9%

Market Size in 2028:

USD 2.25 Bn.

Segments Covered:

By Component

  • Solutions
  • Services

By Deployment

  • On-Premise
  • Cloud-based

By Application

  • Farm Analytics
  • Livestock Analytics
  • Aquaculture Analytics
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Growing Urban Farming Potential
  • Rising Demand for High-quality Food

Key Market Restraints:

  • High Costs of Gathering of Relevant Data

Key Opportunities:

  • Upcoming Opportunity for the Deployment of Big Data in Agriculture Industry

Companies Covered in the report:

  • Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), and Other major players.

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. AGRICULTURE ANALYTICS MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. AGRICULTURE ANALYTICS MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. AGRICULTURE ANALYTICS MARKET COMPETITIVE RIVALRY
TABLE 005. AGRICULTURE ANALYTICS MARKET THREAT OF NEW ENTRANTS
TABLE 006. AGRICULTURE ANALYTICS MARKET THREAT OF SUBSTITUTES
TABLE 007. AGRICULTURE ANALYTICS MARKET BY COMPONENT
TABLE 008. SOLUTIONS MARKET OVERVIEW (2016-2028)
TABLE 009. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 010. AGRICULTURE ANALYTICS MARKET BY DEPLOYMENT
TABLE 011. ON-PREMISE MARKET OVERVIEW (2016-2028)
TABLE 012. CLOUD-BASED MARKET OVERVIEW (2016-2028)
TABLE 013. AGRICULTURE ANALYTICS MARKET BY APPLICATION
TABLE 014. FARM ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 015. LIVESTOCK ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 016. AQUACULTURE ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 017. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 018. NORTH AMERICA AGRICULTURE ANALYTICS MARKET, BY COMPONENT (2016-2028)
TABLE 019. NORTH AMERICA AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT (2016-2028)
TABLE 020. NORTH AMERICA AGRICULTURE ANALYTICS MARKET, BY APPLICATION (2016-2028)
TABLE 021. N AGRICULTURE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 022. EUROPE AGRICULTURE ANALYTICS MARKET, BY COMPONENT (2016-2028)
TABLE 023. EUROPE AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT (2016-2028)
TABLE 024. EUROPE AGRICULTURE ANALYTICS MARKET, BY APPLICATION (2016-2028)
TABLE 025. AGRICULTURE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 026. ASIA PACIFIC AGRICULTURE ANALYTICS MARKET, BY COMPONENT (2016-2028)
TABLE 027. ASIA PACIFIC AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT (2016-2028)
TABLE 028. ASIA PACIFIC AGRICULTURE ANALYTICS MARKET, BY APPLICATION (2016-2028)
TABLE 029. AGRICULTURE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 030. MIDDLE EAST & AFRICA AGRICULTURE ANALYTICS MARKET, BY COMPONENT (2016-2028)
TABLE 031. MIDDLE EAST & AFRICA AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT (2016-2028)
TABLE 032. MIDDLE EAST & AFRICA AGRICULTURE ANALYTICS MARKET, BY APPLICATION (2016-2028)
TABLE 033. AGRICULTURE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 034. SOUTH AMERICA AGRICULTURE ANALYTICS MARKET, BY COMPONENT (2016-2028)
TABLE 035. SOUTH AMERICA AGRICULTURE ANALYTICS MARKET, BY DEPLOYMENT (2016-2028)
TABLE 036. SOUTH AMERICA AGRICULTURE ANALYTICS MARKET, BY APPLICATION (2016-2028)
TABLE 037. AGRICULTURE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 038. DEERE & COMPANY: SNAPSHOT
TABLE 039. DEERE & COMPANY: BUSINESS PERFORMANCE
TABLE 040. DEERE & COMPANY: PRODUCT PORTFOLIO
TABLE 041. DEERE & COMPANY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. IBM: SNAPSHOT
TABLE 042. IBM: BUSINESS PERFORMANCE
TABLE 043. IBM: PRODUCT PORTFOLIO
TABLE 044. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. SAP SE: SNAPSHOT
TABLE 045. SAP SE: BUSINESS PERFORMANCE
TABLE 046. SAP SE: PRODUCT PORTFOLIO
TABLE 047. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. TRIMBLE: SNAPSHOT
TABLE 048. TRIMBLE: BUSINESS PERFORMANCE
TABLE 049. TRIMBLE: PRODUCT PORTFOLIO
TABLE 050. TRIMBLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. MONSANTO: SNAPSHOT
TABLE 051. MONSANTO: BUSINESS PERFORMANCE
TABLE 052. MONSANTO: PRODUCT PORTFOLIO
TABLE 053. MONSANTO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. ORACLE: SNAPSHOT
TABLE 054. ORACLE: BUSINESS PERFORMANCE
TABLE 055. ORACLE: PRODUCT PORTFOLIO
TABLE 056. ORACLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. ACCENTURE: SNAPSHOT
TABLE 057. ACCENTURE: BUSINESS PERFORMANCE
TABLE 058. ACCENTURE: PRODUCT PORTFOLIO
TABLE 059. ACCENTURE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. ITERIS: SNAPSHOT
TABLE 060. ITERIS: BUSINESS PERFORMANCE
TABLE 061. ITERIS: PRODUCT PORTFOLIO
TABLE 062. ITERIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. TARANIS: SNAPSHOT
TABLE 063. TARANIS: BUSINESS PERFORMANCE
TABLE 064. TARANIS: PRODUCT PORTFOLIO
TABLE 065. TARANIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. AGRIBOTIX: SNAPSHOT
TABLE 066. AGRIBOTIX: BUSINESS PERFORMANCE
TABLE 067. AGRIBOTIX: PRODUCT PORTFOLIO
TABLE 068. AGRIBOTIX: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. AGRIVI: SNAPSHOT
TABLE 069. AGRIVI: BUSINESS PERFORMANCE
TABLE 070. AGRIVI: PRODUCT PORTFOLIO
TABLE 071. AGRIVI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. DTN: SNAPSHOT
TABLE 072. DTN: BUSINESS PERFORMANCE
TABLE 073. DTN: PRODUCT PORTFOLIO
TABLE 074. DTN: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. AWHERE: SNAPSHOT
TABLE 075. AWHERE: BUSINESS PERFORMANCE
TABLE 076. AWHERE: PRODUCT PORTFOLIO
TABLE 077. AWHERE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. CONSERVIS CORPORATION: SNAPSHOT
TABLE 078. CONSERVIS CORPORATION: BUSINESS PERFORMANCE
TABLE 079. CONSERVIS CORPORATION: PRODUCT PORTFOLIO
TABLE 080. CONSERVIS CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. DELAVAL: SNAPSHOT
TABLE 081. DELAVAL: BUSINESS PERFORMANCE
TABLE 082. DELAVAL: PRODUCT PORTFOLIO
TABLE 083. DELAVAL: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. FBN: SNAPSHOT
TABLE 084. FBN: BUSINESS PERFORMANCE
TABLE 085. FBN: PRODUCT PORTFOLIO
TABLE 086. FBN: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 086. FARMERS EDGE: SNAPSHOT
TABLE 087. FARMERS EDGE: BUSINESS PERFORMANCE
TABLE 088. FARMERS EDGE: PRODUCT PORTFOLIO
TABLE 089. FARMERS EDGE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 089. GEOSYS: SNAPSHOT
TABLE 090. GEOSYS: BUSINESS PERFORMANCE
TABLE 091. GEOSYS: PRODUCT PORTFOLIO
TABLE 092. GEOSYS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 092. GRANULAR: SNAPSHOT
TABLE 093. GRANULAR: BUSINESS PERFORMANCE
TABLE 094. GRANULAR: PRODUCT PORTFOLIO
TABLE 095. GRANULAR: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 095. GRO INTELLIGENCE: SNAPSHOT
TABLE 096. GRO INTELLIGENCE: BUSINESS PERFORMANCE
TABLE 097. GRO INTELLIGENCE: PRODUCT PORTFOLIO
TABLE 098. GRO INTELLIGENCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 098. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 099. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 100. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 101. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. AGRICULTURE ANALYTICS MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. AGRICULTURE ANALYTICS MARKET OVERVIEW BY COMPONENT
FIGURE 012. SOLUTIONS MARKET OVERVIEW (2016-2028)
FIGURE 013. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 014. AGRICULTURE ANALYTICS MARKET OVERVIEW BY DEPLOYMENT
FIGURE 015. ON-PREMISE MARKET OVERVIEW (2016-2028)
FIGURE 016. CLOUD-BASED MARKET OVERVIEW (2016-2028)
FIGURE 017. AGRICULTURE ANALYTICS MARKET OVERVIEW BY APPLICATION
FIGURE 018. FARM ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 019. LIVESTOCK ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 020. AQUACULTURE ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 021. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 022. NORTH AMERICA AGRICULTURE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. EUROPE AGRICULTURE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. ASIA PACIFIC AGRICULTURE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. MIDDLE EAST & AFRICA AGRICULTURE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 026. SOUTH AMERICA AGRICULTURE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)

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Frequently Asked Questions :

What would be the forecast period in the Agriculture Analytics Market research report?

The forecast period in the Agriculture Analytics Market research report is 2022-2028.

Who are the key players in Agriculture Analytics Market?

Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), and other major players.

What are the segments of the Agriculture Analytics Market?

The Agriculture Analytics Market is segmented into component, deployment, application, and region. By Component, the market is categorized into Solutions, Services. By Deployment, the market is categorized into On-Premise, Cloud-based. By Application, the market is categorized into Farm Analytics, Livestock Analytics, Aquaculture Analytics, Others. By region, it is analyzed across North America (US; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain, etc.), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

What is the Agriculture Analytics Market?

Agricultural analytics is defined as the use of technologies such as IoT, big data, and other analytical tools in the agricultural sector.

How big is the Agriculture Analytics Market?

The Agriculture Analytics Market was valued at USD 1.02 Billion in 2021 and is projected to reach USD 2.25 Billion by 2028, growing at a CAGR of 11.9% from 2022 to 2028.