Global Agriculture Analytics Market
Market Size in USD Billion
CAGR :
% 
 Forecast Period |
2021 –2028 |
 Market Size (Base Year) |
USD 0.80 Billion |
 Market Size (Forecast Year) |
USD 2.01 Billion |
 CAGR |
% |
| Major Markets Players |
Global Agriculture Analytics Market By Component (Solution and Services), Application Area (Farm Analytics, Livestock Analytics, Aquaculture Analytics and Others), Farm Size (Large Farms and Small and Medium-Sized Farms), Deployment Mode (Cloud Based and On-premises), Country (U.S., Canada, Mexico, Germany, Poland, Ireland, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Chile, Rest of South America, UAE, Saudi Arabia, Egypt, Kuwait, South Africa, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Market Analysis and Insights of Agriculture Analytics Market
Data Bridge Market Research analyses that the agriculture analytics market will project a compound annual growth rate (CAGR) of 12.20% during the forecast period of 2021-2028. Growth in the adoption of agricultural technologies in the field of agriculture, rise in application of agriculture analytics for a wide range of applications such as farm analytics, livestock analytics, aquaculture analytics and others and rapidly increasing industry competitiveness are attributable to the growth of agriculture analytics market. This means that the agriculture analytics market value, which was USD 0.8 billion in 2020 will climb up to USD 2.01 billion by the year 2028.
Analytics is a technology that is used for the examination of data. Analytics is the incorporation of sophisticated techniques and tools that help to provide real time data. Therefore, agriculture analytics provides the real time data such as soil, moisture, weather, crop, and more to the farmers. Agriculture analytics technology assists the farmers in in making important decisions related to farming and agricultural activities. Agriculture analytics is the sum total of advanced technologies such as artificial intelligence, data mining, machine learning and big data analytics.
Growing trend of digitization and risk assessment will emerge as the major factor fostering the growth of agriculture analytics market. Rise in venture funding for the development of advanced agricultural technologies and increasing focus towards urban farming are other factors fostering the growth of agriculture analytics market. Growth and expansion of analytics industry especially in the developing economies coupled with increasing personal disposable income will further create lucrative and remunerative growth opportunities for the agriculture analytics market. Rising industrialization, digitization of economies, globalization and growing adoption of big data internet of things sensors will also carve the way for the growth of the agriculture analytics market.
However, dearth of skilled professionals or trained personnel will pose a major challenge to the growth of agriculture analytics market. Also, high costs associated with gathering precise field data will further slowdown the agriculture analytics market growth rate. Lack of awareness in the under developed economies will further derail the agriculture analytics market growth rate.
This agriculture analytics market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on agriculture analytics market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Agriculture Analytics Market Scope and Market Size
The global agriculture analytics market is segmented on the basis of component, application area, farm size and deployment mode. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- Based on the component, the agriculture analytics market is segmented into solutions and services.
- Based on the application area, the agriculture analytics market is segmented into farm analytics, livestock analytics, aquaculture analytics and others.
- Based on the farm size, the agriculture analytics market is segmented into large farms and small and medium-sized farms.
- Based on the deployment mode, the agriculture analytics market is segmented into cloud based and on-premises.
Agriculture Analytics Market Country Level Analysis
The global agriculture analytics market is analyses and market size, volume information is provided by country by component, application area, farm size and deployment mode as referenced above.
The countries covered in the agriculture analytics market report are U.S., Canada, Mexico in North America, Germany, Poland, Ireland, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Chile, Rest of South America as a part of South America, UAE, Saudi Arabia, Egypt, Kuwait, South Africa, Rest of Middle East and Africa(MEA) as a part of Middle East and Africa(MEA).
North America dominates the agriculture analytics market and will continue to flourish its dominance during the forecast period owing to the rising adoption of advanced farming technologies in this region. Asia-Pacific region is undergoing substantial gains and the region is set to project the highest CAGR for the forecast period owing to the growing agricultural production and increasing investments in the digital agriculture practices in this region.
The country section of the agriculture analytics market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Agriculture Analytics Market Share Analysis
The global agriculture analytics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to agriculture analytics market.
The major players covered in the agriculture analytics market report are IBM, Oracle, Microsoft, SAP, Trimble Inc., Bayer AG, Deere & Company., Accenture., Iteris, Inc., TARANIS, AGNIK LLC., DTN, aWhere Inc., DeLaval Inc., Conservis, Farmer's Business Network, Inc., Farmers Edge Inc., Geosys Holdings ULC, Granular Analytics Pvt. Ltd, Gro Intelligence., LexisNexis Risk Solutions Group and PrecisionHawk, Inc. among other domestic and global players. Market share data is available for Global, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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