December 10th, 2022
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 revolutionary application of science and technology in agriculture. It is widely used to understand different aspects of agriculture such as irrigation and cultivation. Various technologies such as IoT, remote sensing application control, GPS, etc. used in the agricultural analysis. The agricultural analysis is designed to improve various agricultural techniques, using complementary technologies such as drones, satellites, and others to make better decisions.
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The research report provides an in-depth analysis of the global Agriculture Analytics market overview, prevailing trends, demand, and recent changes that are likely to affect the market in the near future. In addition to this, the study report for the global Agriculture Analytics Market will provide users with a detailed analysis of various key elements of the market such as key industry players, revenue share information, market size, growth potential, future opportunities, challenges, recent trends, along with profiles of companies looking to enter the market.
Leading players involved in the Agriculture Analytics Market include:
· Deere & Company (US)
· IBM (US)
· SAP SE (Germany)
· 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.
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Agriculture Analytics Market Segment by Component, Deployment, Application, and Forecast by 2028
This research study comprises a comprehensive assessment of the market through far-reaching qualitative and quantitative insights and predictions. This report offers a classification of the market into imminent and niche sectors. Furthermore, this research study calculates the market size and its development drift at global, regional, and country levels from 2022 to 2028. This report contains the market breakdown and its revenue estimation by classifying it on the basis of Component, Deployment, Application, and region. :
· Farm Analytics
· Livestock Analytics
· Aquaculture Analytics
· 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)
Impact of COVID-19 on the Global Agriculture Analytics Market:
The Covid-19 pandemic had an adverse impact globally, with many industries facing dire consequences. Agriculture, food and related industries have been severely affected by the pandemic, due to temporary closures, blockades, and trade barriers, as well as a decrease in the import and export of goods. As incidences of Covid-19 have risen rapidly around the world, several countries are facing disruptions to regular agri-food supply chains. The market for data analysis technology in agricultural industries has a moderate impact and a slow recovery has been observed in recent months.
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This study conducts a SWOT analysis to evaluate the strengths and weaknesses of key players in the Agriculture Analytics market. Additionally, the report performs a complex inspection of drivers and restraints operating in the market. The report also evaluates the observed trends in the parent market along with macroeconomic indicators, dominant factors and market attractiveness in relation to other segments. The report forecasts the impact of various industry aspects on the Agriculture Analytics market segments and regions.
Key points of the Global Agriculture Analytics Market:
· Define, describe, and forecast the Agriculture Analytics product market by type, application, end-user, and region.
· Provide enterprise external environment analysis and PEST analysis.
· Provide strategies for the company to face the impact of COVID-19.
· Provide dynamic analysis of the market, including market driving factors, and market development constraints.
· Provide market entry strategy analysis for new players or players ready to enter the market, including market segment definition, customer analysis, distribution model, product messaging and positioning, and pricing strategy analysis.
· Keep up with international market trends and provide an analysis of the impact of the COVID-19 epidemic in the main regions of the world.
The Agricultural Analytics Market report provides a comprehensive analysis of macroeconomic factors and market attractiveness of each segment. The report will include an in-depth qualitative and quantitative assessment from the segmental/regional perspective with the presence of the market players in the respective segment and region/country. The information concluded in the report includes inputs.
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
4.4 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
5.3.1 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: Geographic Segmentation
To Be Continued.
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