Agriculture Analytics Market by Component (Solution, and Services), Deployment (On-Premise, and Cloud), Application (Farm Analytics, Livestock Analytics, Aquaculture Analytics, and Others), and by Region (North America, Europe, Asia Pacific, Middle East and Africa, and South America), Global Forecast 2018 to 2028
Oct 2020
Total Pages: 121
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The market size for global agriculture analytics is projected to reach USD 2,149 million by 2028. The factors such as the growing pressure to satisfy the global demand for food, government initiatives to deploy modern agriculture techniques, along with the need to enhance farm productivity, are responsible for the growth of the agriculture analytics market in the next few years. On the other hand, increasing adoption of data management systems and deep learning techniques that enhance crop productivity, are other predominant factors fueling the industry growth.
The application of advanced technologies and big data analytics is still untouched in the field of agriculture. The analytics offer real-time insights that can be utilized by farmers as inputs to improve their farming performance as per the different disease outbreaks or weather events. With the advent of big data analytics in agriculture, precision farming has been made possible, thus, saving resources and time of the farmers along with enhanced yield. Analytics in agriculture delivers significant actionable data & reports on farming after gathering hundreds of images of field crops with the help of sensors and analytics, which further can help to reduce food-borne illness and crop spoilage. Additionally, agriculture analytics has also promoted agricultural supply chains. It offers a platform to optimize the way agricultural products make their path from the field to the market.
Key Segments of the Global Agriculture Analytics Market
Component Overview, 2018-2028 (USD Billion)
- Solution
- Services
Deployment Overview, 2018-2028 (USD Billion)
- On-premise
- Cloud
Application Overview, 2018-2028 (USD Billion)
- Aquaculture Analytics
- Farm Analytics
- Livestock Analytics
- Others
Regional Overview, 2018-2028 (USD Billion)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global agriculture analytics market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global agriculture analytics market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the agriculture analytics solution industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on components, deployment, and application. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global agriculture analytics market. The report will benefit:
- Every stakeholder is involved in the agriculture analytics market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global agriculture analytics market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of the global agriculture analytics market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
Agriculture is the base of economies globally. Factors such as food security concerns, population growth, and climate change have upsurged the industry into pursuing more innovative methods to protect and enhance crop yield. The incorporation of big data analytics, the internet of things (IoT), and artificial intelligence (AI) technologies, such as predictive analytics, computer vision, and machine learning, within agriculture enable farmers to analyze real-time information of temperature, plant health, weather condition, crop prices, and soil moisture in the market.
However, heavy implementation costs and the requirement of skilled personnel is likely to hinder the agriculture analytics market growth. Also, factors such as lack of standardization in data collection and data sharing are likely to restrict the growth of the agriculture analytics industry The adoption of agriculture analytics is substantially higher in the developed nations such as the U.S., Canada, Germany, UK, among others, owing to the presence of key agriculture technology providers within the region.
Component Segment
The global agriculture analytics market contains a solution and service segment. In 2019, the solution segment is likely to hold a significant market share since there is a growing requirement for agribusiness to effectually scrutinize critical farm-related data for enhanced decision-making. The agriculture analytics solutions facilitate farmers to evaluate and monitor crop yield, determine a suitable amount of fertilizers, water, land, and pesticides, and detect crop diseases.
Deployment Segment
Based on the deployment segment, the market is bifurcated into two sub-segments that are on-premise, and cloud. In 2019, the on-premise segment gathered the largest market revenue and it is anticipated to dominate the market throughout the forecast period. However, the cloud segment is anticipated to grow at a substantial growth rate over the forecast period. The cloud enables organizations with a unified platform with SaaS-based services providing improved security.
Application Segment
Based on the application segment, the market is bifurcated into livestock analytics, aquaculture analytics, farm analytics, and others. In 2019, the farm analytics segment gathered the largest market revenue and it is anticipated to dominate the market throughout the forecast period. Precision farming uses AI for data interpretation, collection, and scrutiny of digital information. On the other hand, livestock analytics is anticipated to grow at a substantial rate in the next seven to eight years. Livestock analytics involves using several devices, such as farm management systems, feeding systems, RFID, robotic milking machines, GPS, and other software technology solutions, to enhance farm production.
The global agriculture analytics industry is a wide range to North America, Asia Pacific, Europe, South America, and the Middle East & Africa. The Asia Pacific region is expected to be a prominent region with countries such as India as the highest agriculture analytics market. Countries such as Japan, China, and South Korea are anticipated to be at the forefront in the adoption of agriculture analytics owing to increased technological investment in the countries. Moreover, the rising trend of cloud-based solutions in medium and large industries propels the demand for agriculture analytics in the region.
The major players of the global agriculture analytics market are Deere & Company, IBM, SAP SE, Monsanto Company, Oracle, Trimble, Accenture, Iteris, Agribotix, Agrivi, DTN, Taranis, aWhere Inc., Conservis Corporation, Farmer's Business Network, DeLaval, Farmers Edge, GEOSYS, Granular, and more. The agriculture analytics solution market is fragmented with the existence of well-known global and domestic players across the globe.
The market size for global agriculture analytics is projected to reach USD 2,149 million by 2028. The factors such as the growing pressure to satisfy the global demand for food, government initiatives to deploy modern agriculture techniques, along with the need to enhance farm productivity, are responsible for the growth of the agriculture analytics market in the next few years. On the other hand, increasing adoption of data management systems and deep learning techniques that enhance crop productivity, are other predominant factors fueling the industry growth.
The application of advanced technologies and big data analytics is still untouched in the field of agriculture. The analytics offer real-time insights that can be utilized by farmers as inputs to improve their farming performance as per the different disease outbreaks or weather events. With the advent of big data analytics in agriculture, precision farming has been made possible, thus, saving resources and time of the farmers along with enhanced yield. Analytics in agriculture delivers significant actionable data & reports on farming after gathering hundreds of images of field crops with the help of sensors and analytics, which further can help to reduce food-borne illness and crop spoilage. Additionally, agriculture analytics has also promoted agricultural supply chains. It offers a platform to optimize the way agricultural products make their path from the field to the market.
Key Segments of the Global Agriculture Analytics Market
Component Overview, 2018-2028 (USD Billion)
- Solution
- Services
Deployment Overview, 2018-2028 (USD Billion)
- On-premise
- Cloud
Application Overview, 2018-2028 (USD Billion)
- Aquaculture Analytics
- Farm Analytics
- Livestock Analytics
- Others
Regional Overview, 2018-2028 (USD Billion)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global agriculture analytics market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global agriculture analytics market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the agriculture analytics solution industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on components, deployment, and application. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global agriculture analytics market. The report will benefit:
- Every stakeholder is involved in the agriculture analytics market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global agriculture analytics market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of the global agriculture analytics market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions, and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.1.1 Rising adoption of advanced technology-based solutions for farming
4.3.1.2 Increasing pressure to satisfy the global demand for food
4.3.2 Restraints
4.3.2.1 Problems associated with data management and data aggregation
4.3.3 Opportunities
4.5 PEST Analysis
4.6 COVID-19 Impact Analysis
Chapter 5 Agriculture Analytics Market by Component
5.1 Introduction
5.1.1 Solution
5.1.2 Services
Chapter 6 Agriculture Analytics Market by Deployment
6.1 Introduction
6.1.1 On-premise
6.1.2 Cloud
Chapter 7 Agriculture Analytics Market by Application
7.1 Introduction
7.1.1 Livestock Analytics
7.1.2 Aquaculture Analytics
7.1.3 Farm Analytics
7.1.4 Others
Chapter 8 Agriculture Analytics Market by Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 Rest of Middle East & Africa
8.6 South America
8.6.1 Brazil
8.6.2 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 11 Company Profiles
10.1 Accenture
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Agribotix
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 Agrivi
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 Deere & Company
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 IBM
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 Iteris
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 Monsanto Company
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 Oracle
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 SAP SE
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 Trimble
10.10.1 Overview
10.10.2 Products and Services Portfolio
10.10.3 Recent Initiatives
10.10.4 Company Financials
10.10.5 SWOT
10.11 Other Companies