Agriculture Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2028

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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.


The report Agriculture Analytics Market report provides an in-depth analysis of the Agriculture Analytics market, including a detailed description of market growth and size, value, and the key opportunities in the market, as well as an outline of the factors that are and will be driving the industry's growth, taking previous growth patterns into account. The global Agriculture Analytics market report provides an in-depth analysis of the market state of Agriculture Analytics manufacturers, including the latest facts and data, SWOT analysis, and expert views from around the world. The cost structure, market size, Agriculture Analytics Sales, Gross Margin and Market Share, Price, Revenue, Size, Forecast, and Growth Rate are all calculated in the report. The income earned from the sale of This Study and technologies by various application industries is considered in the report.

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Key Industry 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)
  • Granular (US)
  • Gro Intelligence (US), and other major players.

The Global Agriculture Analytics market Report provides In-depth analysis on the market status of the Agriculture Analytics Top manufacturers with best facts and figures, meaning, Definition, SWOT analysis, PESTAL analysis, expert opinions and the latest developments across the globe, the Agriculture Analytics Market Report contains Full TOC, Tables and Figures, and Chart with Key Analysis, Pre and Post COVID-19 Market Outbreak Impact Analysis and Situation by Regions.

Segmentation Analysis Includes,

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)

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Table of Content:

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


The COVID-19 crisis has affected the entire agricultural industry, disrupting the overall workflow. Food safety recalls, customer demand, and sustainability efforts have all increased scrutiny in agricultural production. According to the Global Food Traceability Center (GFTC), the need for agricultural product traceability has steadily increased as a result of the pandemic. This will aid in the deployment of advanced data-driven tools like artificial intelligence, machine learning, and other advanced data analytics tools to assist stakeholders throughout the supply chain.

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North America is forecast to dominate the global agricultural analytics market in terms of revenue. It is owing to the presence of prominent countries like the United States and Canada. Furthermore, the presence of large farmhouses requiring the best agricultural equipment will benefit the agricultural analytics market. In addition, increasing advancements in digital agriculture practices will escalate the industry’s growth.

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