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.

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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.

Competitive Landscape and Market Share Analysis Agriculture Analytics

The Agriculture Analytics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, research and development investment, new market initiatives, global presence, production sites and facilities, production capabilities, strengths and weaknesses of the company, product launch, breadth and breadth of the product, application domain. The above data points provided are only related to the companies focus related to the Agriculture Analytics market.

Some of the major players operating in the Agriculture Analytics market 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.rs

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Scope and size of the Global Agriculture Analytics Market

The global agricultural analytics market is segmented on the basis of component, application area, farm size, and mode of implementation. Growth across segments helps you analyze pockets of growth and niche strategies to approach the market and determine your core application areas and the difference in your target markets.

  • Based on the component, the agricultural analysis market is segmented into solutions and services.
  • Based on the application area, the agricultural analysis market is segmented into agricultural analysis, livestock analysis, aquaculture analysis, and others.
  • Based on the size of the farm, the agricultural analysis market is segmented into large farms and small and medium farms.
  • Based on the mode of implementation, the agriculture analytics market is segmented into cloud and on-premises.

Research Methodology: Global Market Analysis of agriculture

Data collection and base year analysis are performed 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 advance. Likewise, it involves the examination of the information inconsistencies observed in different sources of information. Market data is analyzed and estimated using consistent and statistical market models. Also, market share analysis and key trend analysis are the main success factors in the market report. To learn more, request an analyst call or drop your inquiry.

The key research methodology used by the DBMR research team is data triangulation, which involves data extraction, analysis of the impact of data variables on the market, and primary validation (industry experts). Other than this, the data models include vendor positioning grid, market timeline analysis, market overview and guide, company positioning grid, patent analysis, analysis analysis, company market share analysis, measurement standards, global versus regional analysis, and vendor share analysis. To learn more about the research methodology, please submit an inquiry to speak with our industry experts.

Strategic Points Covered in Table of Contents of Global Agriculture Analytics Market:

Chapter 1: Introduction, the basic information of the product overview Global Agriculture Analytics Market

Chapter 2: Study Objective and Research Scope of Agriculture Analysis Market

Chapter 3: Analysis of Agriculture Market Dynamics: Driving Growth Factors, Disruptive Forces, Trends, and Challenges Opportunities

Chapter 4: Market Factor Analysis, Analysis of Agriculture Market Value Chains, PESTEL PORTER Model, Market Entropy, Patent/Trademark Analysis

Chapter 5: Player Analysis; Competitive Landscape, Agriculture Analysis Markets Peer Group Analysis, Strategic Group Analysis, Perpetual Mapping, BCG Matrix Company Profile

Chapter 6: View market revenue size by type, application/vertical or end-users, other segments

Chapter 7: To Assess the Country Market Further Broken Down by Country

Chapter 8: Research Methodology

Chapter 9: Data source

For Full Table of Contents Click Here: @ https://www.databridgemarketresearch.com/toc/?dbmr=global-agriculture-analytics-market

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.

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