Market Definition

In the sector of agriculture, the application of technologies and big data analytics is still undeveloped. The analytics provide real-time knowledge that farmers may utilise as inputs to optimise their farming performance in response to weather occurrences or disease outbreaks. Precision farming has resulted from the use of big data analytics in agriculture, saving farmers time and resources while increasing productivity. After gathering hundreds of photos of field crops, analytics in agriculture provides significant actionable data and reports on farming, and the use of sensors and analytics helps to decrease crop deterioration and food-borne illness. Furthermore, agriculture analytics has benefitted agricultural supply networks. It provides a platform for improving the way agricultural products are transported from the field to the market.

The increased emphasis on profitability in agribusiness is driving growth in the worldwide agricultural analytics market, as is the adoption of agriculture analytics for effective analysis and vital farm-related data for better decision making. Crop output is affected by a number of factors, including weather conditions, fertiliser application, soil quality, and seed variety. This makes it more difficult to identify appropriate items for increasing productivity. As a result, the use of farm analytics to analyse this data is increasing, which is fueling the growth of the worldwide agriculture analytics market. Furthermore, the growing requirement for livestock management, which adds pressure on farmers and can lead to mismanagement, is propelling the worldwide agriculture analytics market forward. To remove the dangers of mismanagement, there is an increasing requirement for tracking livestock, which is also boosting the expansion of the global agriculture analytics market. Furthermore, the agriculture analytics market is developing due to the increasing acceptance of agriculture analytics across big farms due to its affordability and capacity to increase profitability. High-level commercial operations are carried out across big farms, resulting in large amounts of data, and agriculture analytics service providers assist with data management. As a result, the market is expanding and is expected to be a key driving element in the growth of the agriculture analytics market.

The rising COVID-19 crisis has had a huge impact on the Agriculture Analytics Market globally. COVID-19 has hampered the mobility of various important services, which has hampered agricultural operations. The spread of COVID-19 and the ensuing lockdowns have had a negative impact on the pricing and quantity of agricultural items traded globally. The lockout has seriously impacted business activity and supply systems. As a result, it has damaged agricultural product demand, displacing workers and disrupting supply chains. Fluctuating consumer choices and behaviour as a result of the changing worldwide pandemic environment will have a significant impact on the agriculture analytics market over the forecast time range.

Report Scope

The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of a competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.

Major Market Players

This report offers the major market player’s profiles, such asDeere & 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), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US).  

The Agriculture Analytics Market report has been categorized as below

By Component

  • Solution

  • Services

By Application

  • Farm analytics

  • Livestock analytics

  • Aquaculture analytics

  • Others (Orchid, Forestry, and Horticulture)

 By farm size

  • Large Farms

  • Small and Medium-Sized Farms

By deployment modes

  • Cloud

  • On-premises

By Region

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

The years considered for the study are as follows:

  • Base year - 2020
  • Estimated year - 2021
  • Projected year – 2022
  • Forecast period - 2021 to 2027

Key Questions Addressed by the Report

  • New products/service competitors are exploring?
  • Key players in the Agriculture Analytics Market and how extreme is the competition?
  • What are the future market trends that manufacturers are emphasizing on in the future updates?
  • For each segment, what are the crucial opportunities in the market?
  • What are the key growth strategies embraced by key market players in the market?
  • What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

  • Obtain comprehensive insights on the Agriculture Analytics market trends
  • Note comprehensive analysis of the market status
  • Identifies the market opportunities and growth segments
  • Assessing business segments & product portfolios, and explain competitive dynamics
  • Provide strategy planning and industry dynamics to strengthen decision making

Report Content

1. Global Agriculture Analytics Market Introduction

1.1. Key Insights

1.2. Report Overview

1.3. Markets Covered

1.4. Stakeholders

2. Research Methodology

2.1. Research Scope

2.2. Market Research Process

2.3. Research Data Analysis

2.4. Market Size Estimation

3. Executive Summary 

4. Market Overview

4.1. Introduction

4.2. Market Drivers and Restraints

5. By Component

5.1.  Solution

5.2.  Services

6. By Application

6.1.  Farm analytics

6.2.  Livestock analytics

6.3. Aquaculture analytics

6.4. Others (Orchid, Forestry, and Horticulture)

7. By farm size

7.1.  Large Farms

7.2.  Small and Medium-Sized Farms

8. By deployment modes

8.1.  Cloud

8.2.  On-premises

9. By Region

9.1. Key Points

9.2. North America

9.3. Europe

9.4. Asia Pacific

9.5. Rest of the World

10. Company Profile

(Profile contains company overview, products/services, financials & recent developments)

10.1. Deere & Company (US)

10.2. IBM (US)

10.3. SAP SE (Germany)

10.4. Trimble (US)

10.5. Monsanto (US)

10.6. Oracle (US)

10.7. Accenture (Ireland)

10.8. Iteris (US)

10.9. Taranis (Israel)

10.10. Agribotix (US)

10.11. Agrivi (UK)

10.12. DTN (US)

10.13. aWhere (US) 

10.14. Conservis Corporation (US)

10.15. DeLaval (Sweden)

10.16. FBN (US)

10.17. Farmers Edge (US)

10.18. GEOSYS (US)

10.19. Granular (US)

10.20. Gro Intelligence (US)

10.21. Proagrica (UK) 

10.22. PrecisionHawk (US)

10.23. RESSON (Canada)

10.24. Stesalit Systems (India)

10.25. AgVue Technologies (US)

10.26. Fasal (India)

10.27. AGEYE Technologies (US)

10.28. HelioPas AI (Baden-Württemberg) 

10.29. OneSoil (Belarus) 

10.30. Root AI (US)

The Agriculture Analytics Market report has been categorized as below

By Component

  • Solution

  • Services

By Application

  • Farm analytics

  • Livestock analytics

  • Aquaculture analytics

  • Others (Orchid, Forestry, and Horticulture)

 By farm size

  • Large Farms

  • Small and Medium-Sized Farms

By deployment modes

  • Cloud

  • On-premises

By Region

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

Licence Option

  • Single User 1500 USD
  • Multiple User 3500 USD

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