Agriculture Analytics Market will expand from USD 585 million in 2021 to USD 1236.79 billion by 2026, growing at a pace of 16.33% during the forecast period 2021-2026. An increasing need for the production volume in farming drives the farm analytics market. As climate conditions, soil properties, application of fertilizers and seed varieties change, farm yields in various regions worldwide have been unstable. The need for innovative tools has been developed that would help stabilize conditions and increase agricultural producers' harvest quantity and quality.
Agricultural analysis for effectiveness evaluation and vital farm data for better decision-making are becoming more and more critical in driving growth for the market for agricultural analytics. Plant yields are influenced by several factors including weather conditions, application of fertilizer, soil and seed varieties. The identification of perfect products to increase productivity is, therefore, complicated. The use of agricultural analytics to evaluate such data is consequently rising, which boosts the growth of the market in agriculture analytics.
Intelligent agriculture is an integral part of the research that also includes the use of science and technology in agriculture. The use of technologies such as big data, IoT, and other analysis tools in the area of agriculture is termed as agricultural analytics. Government initiatives for the implementation of modern farming techniques are the primary growth factor for the farm analytics sector. Furthermore, the need to improve productivity on farms and meet increasing pressure on worldwide food demand lead to the adoption of agricultural analytics and the growth of the market in agriculture research.
The primary research elements outlined in the report provide valuable insights for leading players in the market in agriculture study. It also offers vital information and resources to new and existing players working on the agricultural research market. The market analysis report focuses on macroeconomic and microeconomic factors representing the growth of the demand in agricultural analytics
Recent developments in Agriculture Analytics Industry:
Research Methodology:
Market research involves studying market trends, growth patterns, and understanding the influence of variables like macro and microeconomic conditions, geopolitical and demographic conditions on the market value and market dynamics.
The research methodology used to calculate and forecast the Agriculture Analytics market began by collecting information on the market key players' sales using multiple sources via secondary research. To identify market segmentation, supplier offers have been considered.
Agriculture Analytics Market Drivers and limitations:
The Agriculture Analytics market size is exponentially expanding owing to the following:
Restraints of Agriculture Analytics market can be –
Opportunities of Agriculture Analytics market can be
Agriculture Analytics Market - By Application Area:
Farm Analytics,
Agriculture Analytics Market - By Component:
Agriculture Analytics Market - Farm Size:
The agricultural analytical market offers tools and services that enable livestock farmers to make better decisions by obtaining information on animals in real-time and optimizing various animal handling processes. Those processes include feeding management, managing heat stress, extracting milk, breed management, tracking and controlling behaviour, veal management, genetic management and cattle sorting. Analytical animals involve improving farm production by using different devices, such as RFIDs, GPSs, feeding systems, agricultural management systems, robotic milking machines and other software solutions.
In addition, the increasing need for livestock management, which increases farmers' pressure and can result in maladministration, encourages the growth of the market for agricultural analytics. The growth of the agrarian analysis market is also favourable to eliminate risks associated with such maladministration and increasing animal tracking needs.
Technology innovation and the increased focus on modern farming practices have contributed to advanced agriculture analytics being adopted by farmers and producers. In contrast to small and medium-sized farm producers, large-scale farm producers can invest in advanced technology to develop a well-equipped next-generation agricultural infrastructure. Farmers can make informed decisions about the crops to be cultivated for their future harvest, soil health, water available and plant predictions, through the agricultural analytics solution implemented for the agricultural infrastructure.
Geographical Classification of the Market:
Regional Growth Insights:
The biggest market size is expected in North America, and the same will continue between 2020 and 2025. The area mainly has large farms with the best agricultural equipment, which contributes significantly to the growth of the demand for farm analytics. Due to increasing investments in digital agriculture practices and the implementation of cloud-based solutions by farmers across the region, APAC is expected to provide lucrative opportunities for agricultural analytics vendors. However, the lack of data standardization in different regions may affect the adoption of a solution to agricultural analysis.
Key Players:
Deere & Company, a leader in its modern agriculture portfolio with an extensive range of products and services, addresses the requirements of the consumers.
Key highlights of the research report:
1. Introduction
1.1 Market Definition
1.2 Study Deliverables
1.3 Base Currency, Base Year and Forecast Periods
1.4 General Study Assumptions
2. Research Methodology
2.1 Introduction
2.2 Research Phases
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Econometric Modelling
2.2.4 Expert Validation
2.3 Analysis Design
2.4 Study Timeline
3. Overview
3.1 Executive Summary
3.2 Key Inferences
3.3 Epidemology
4. Drivers, Restraints, Opportunities, and Challenges Analysis (DROC)
4.1 Market Drivers
4.2 Market Restraints
4.3 Key Challenges
4.4 Current Opportunities in the Market
5. Market Segmentation
5.1 Application Area
5.1.1 Introduction
5.1.2 Farm Analytics
5.1.3 Livestock Analytics
5.1.4 Aquaculture Analytics
5.1.5 Y-o-Y Growth Analysis, By Application Area
5.1.6 Market Attractiveness Analysis, By Application Area
5.1.7 Market Share Analysis, By Application Area
5.2 Component
5.2.1 Introduction
5.2.2 Solution
5.2.3 Services
5.2.4 Y-o-Y Growth Analysis, By Component
5.2.5 Market Attractiveness Analysis, By Component
5.2.6 Market Share Analysis, By Component
5.3 Farm Size
5.3.1 Introduction
5.3.2 Small
5.3.3 Medium Sized
5.3.4 Large
5.3.5 Y-o-Y Growth Analysis, By Farm Size
5.3.6 Market Attractiveness Analysis, By Farm Size
5.3.7 Market Share Analysis, By Farm Size
6. Geographical Analysis
6.1 Introduction
6.1.1 Regional Trends
6.1.2 Impact Analysis
6.1.3 Y-o-Y Growth Analysis
6.1.3.1 By Geographical Area
6.1.3.2 By Application Area
6.1.3.3 By Component
6.1.3.4 By Farm Size
6.1.4 Market Attractiveness Analysis
6.1.4.1 By Geographical Area
6.1.4.2 By Application Area
6.1.4.3 By Component
6.1.4.4 By Farm Size
6.1.5 Market Share Analysis
6.1.5.1 By Geographical Area
6.1.5.2 By Application Area
6.1.5.3 By Component
6.1.5.4 By Farm Size
6.2 North America
6.1.1 Introduction
6.1.2 United States
6.1.3 Canada
6.3 Europe
6.2.1 Introduction
6.2.2 U.K
6.2.3 Spain
6.2.4 Germany
6.2.5 Italy
6.2.6 France
6.4 Asia-Pacific
6.3.1 Introduction
6.3.2 China
6.3.3 India
6.3.4 Japan
6.3.5 Australia
6.3.6 South Korea
6.5 Latin America
6.4.1 Introduction
6.4.2 Brazil
6.4.3 Argentina
6.4.4 Mexico
6.4.5 Rest of Latin America
6.6 Middle East & Africa
6.5.1 Introduction
6.5.2 Middle-East
6.5.3 Africa
7. Strategic Analysis
7.1 PESTLE analysis
7.1.1 Political
7.1.2 Economic
7.1.3 Social
7.1.4 Technological
7.1.5 Legal
7.1.6 Environmental
7.2 Porter’s Five analysis
7.2.1 Bargaining Power of Suppliers
7.2.2 Bargaining Power of Consumers
7.2.3 Threat of New Entrants
7.2.4 Threat of Substitute Products and Services
7.2.5 Competitive Rivalry within the Industry
8. Market Leaders' Analysis
8.1 Deere & Company (Switzerland)
8.1.1 Overview
8.1.2 Product Analysis
8.1.3 Financial analysis
8.1.4 Recent Developments
8.1.5 SWOT analysis
8.1.6 Analyst View
8.2 IBM (US)
8.3 SAP SE (Germany)
8.4 Trimble (US)
8.5 Monsanto
8.6 Accenture (US)
8.7 DTN (US)
8.8 Farmers Edge (US)
8.9 Granulare (US)
8.10 Groenlligence (US)
8.11 Proagrica (UK)
8.12 Precision Hawk (US)
8.13 RESSON (Canada)
8.14 Stesalit Systems (US)
8.15 AgVue Technologies (US)
9. Competitive Landscape
9.1 Market share analysis
9.2 Merger and Acquisition Analysis
9.3 Agreements, collaborations and Joint Ventures
9.4 New Product Launches
10. Market Outlook and Investment Opportunities
Appendix
a) List of Tables
b) List of Figures