Agriculture Analytics Market Demand, Size, Share, Demand & Forecast To 2028
Rising need to improve crop management is resulting in increasing demand for agriculture data analysis. Ability of analytics software to derive trends from vast volumes of data and plant breeding details with fewer errors and greater efficiency is expected to boost adoption of analytics software in the agriculture sector. Yield predictions generated with the help of data analysis is expected to help farmers maximize crop yield and improve overall efficiency.
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The report offers a detailed analysis of the threats, opportunities, and competitive landscape of the industry. The report focuses on the key players of the Agriculture Analytics industry and provides comprehensive profiling of the players that includes Deere & Company, IBM, Bayer AG, SAP SE, Trimble, DeLaval, Iteris, Inc., Oracle, and AGRIVI. Furthermore, the report offers insights into the strategic business decisions undertaken by the key players to gain substantial market size and a leading global position. It sheds light on their production and manufacturing capacity, market size and share, revenue and gross margins, and business overview to offer a better understanding of the competitive landscape of the Agriculture Analytics sector. The report offers a detailed analysis of the industry competition on both regional and global levels.
Some Key Highlights From the Report
• In November 2020, John Deere announced the acquisition of Harvest Profit, which is a leading provider of farm profitability software based in Fargo, North Dakota, US. Harvest Profit software is expected to help customers of John Deere with a forward-looking financial lens and enhanced visibility into the profitability of their farms and the insights provided by the software would help them to make better decisions regarding management of operations.
• Solution segment accounted for largest revenue share in 2020. Rising need for more accurate crop forecasting and yields is driving demand for agriculture analytics solutions.
• Large farms segment revenue is expected to expand at a rapid CAGR during the forecast period. Large farms are increasingly adopting big data IoT sensors in order to monitor farms and get information regarding tractor availability, service due dates, and fuel refill alerts.
• North America accounted for largest revenue share contribution to the global agriculture analytics market in 2020. Technological advancements of traditional agricultural activities and presence of improved agricultural techniques in countries in the region is expected to drive revenue growth of the agricultural analytics in the region.
The statistical data provided by the report offers an in-depth assessment and interpretation of the Global Agriculture Analytics Market and provides a detailed overview of the supply and demand chain in the global Agriculture Analytics sector. The report has been formulated through various advanced statistical tools such as SWOT analysis and Porter’s Five Forces Analysis, along with feasibility analysis and venture return analysis. The study also offers a comprehensive analysis of the segments and sub-segments of the Agriculture Analytics market.
• Component Outlook (Revenue, USD Million; 2018–2028)
• Farm Size Outlook (Revenue, USD Million; 2018–2028)
o Small and Medium Farms
o Large Farms
• Deployment Modes Outlook (Revenue, USD Million; 2018–2028)
• Application Outlook (Revenue, USD Million; 2018–2028)
o Livestock Analytics
o Farm Analytics
o Aquaculture Analytics
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Moreover, the report covers extensive analysis of the competitive landscape and the overall market growth and trends with regards to the key geographical regions such as North America, Latin America, Europe, AsiaPacific, and Middle East & Africa. The regional analysis segments are formulated in a way that offers a strong and effective business outlook of the global Agriculture Analytics market. The report also sheds light on the growth prospects, threats, drivers & restraints, limitations, and expansion opportunities along with current and emerging trends for the forecast period of 2021-2028.
In conclusion, the report on the Agriculture Analytics industry is a detailed assessment of the market that offers the readers insightful data on the workings of the Agriculture Analytics sector, along with the global and regional scenarios. It also provides a competitive advantage to the reader to assist them in capitalizing on the prominent aspects of the Agriculture Analytics market.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.4. Research Sources
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2021-2028
Chapter 3. Key Insights
Chapter 4. Agriculture Analytics Market Segmentation & Impact Analysis
4.1. Agriculture Analytics Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
22.214.171.124. Rising need to improve crop yield
126.96.36.199. Better risk management provided by analytics technology
188.8.131.52. Increasing adoption of Big Data IoT sensors
184.108.40.206. Increasing need to enhance agricultural supply chain
4.2.3. Market restraints analysis
220.127.116.11. Lack of technological awareness among farmers
18.104.22.168. High initial investments
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Agriculture Analytics Market By Component Insights & Trends, Revenue (USD Million)
5.1. Component Dynamics & Market Share, 2021 & 2028
Chapter 6. Agriculture Analytics Market By Farm size Insights & Trends, Revenue (USD Million)
6.1. Farm size Dynamics & Market Share, 2021 & 2028
6.1.1. Small and Medium Farms
6.1.2. Large Farms
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