Global Agriculture Analytics Market Breakdown by Application (Farm analytics, Livestock analytics, Aquaculture analytics, Others) by Type (Software, Services) by Deployment (Cloud-Based, On-Premise) by Farm Size (Small and Medium Farms, Large Farms) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

Pune, Maharashtra -- (SBWire) -- 11/01/2023 --According to HTF Market Intelligence, the Global Agriculture Analytics market to witness a CAGR of 12.5% during the forecast period (2023-2029). The Latest Released Agriculture Analytics Market Research assesses the future growth potential of the Agriculture Analytics market and provides information and useful statistics on market structure and size.

This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the Agriculture Analytics market. The Agriculture Analytics market size is estimated to increase by USD 3.5 Billion at a CAGR of 12.5% by 2029. The report includes historic market data from 2023 to 2029. The Current market value is pegged at USD 1.9 Billion.

The Major Players Covered in this Report: Deere & Company (United States), IBM (United States), SAP SE (Germany), Trimble (United States), Monsanto Company (United States), Oracle (United States), Accenture (Ireland), Iteris (United States), Taranis (Israel), Agribotix (United States), Agrivi (United Kingdom), DTN (United States), aWhere Inc. (United States), Conservis Corporation (United States), DeLaval (Sweden), Farmer’s Business Network (United States)

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Definition:
Agriculture analytics refers to the use of data analysis, information technology, and statistical techniques to collect, interpret, and make informed decisions about various aspects of agriculture, including crop management, livestock, farm operations, and supply chain management. This data-driven approach allows farmers, agricultural organizations, and stakeholders to optimize agricultural practices, increase productivity, reduce resource waste, and make more sustainable and cost-effective decisions.

Market Trends:
- The integration of the Internet of Things (IoT) and sensor technology was a prominent trend. These technologies enable real-time data collection from farms, allowing for precise monitoring of crop and livestock conditions.
- Agriculture analytics was increasingly leveraging big data analytics and machine learning techniques to process vast amounts of agricultural data. This trend enabled more accurate predictions, automation, and decision support for farmers.
- The use of remote sensing technologies and satellite imagery for crop monitoring and yield prediction was on the rise. These technologies provide valuable insights into crop health and growth.

Market Drivers:
- The increasing global population drove the need for more efficient and productive agriculture. Agriculture analytics helped maximize yields and minimize food waste.
- The unpredictability of weather patterns due to climate change made accurate crop management more critical. Analytics provided tools to adapt to changing conditions.
- The growing scarcity of resources like water and arable land underscored the importance of resource-efficient agriculture, which was facilitated by agriculture analytics.

Market Opportunities:
- Agriculture analytics offers opportunities for farmers to implement sustainable practices, reducing environmental impact and resource consumption while maintaining or increasing productivity.
- The global agriculture analytics market was expanding as more regions and countries recognized the benefits of data-driven agriculture. Opportunities existed for companies to enter new markets.
- The need for advanced analytics in crop and livestock management presented opportunities for technology providers to offer specialized solutions for farmers and ranchers.

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The titled segments and sub-sections of the market are illuminated below:
In-depth analysis of Marine Propulsion Engines market segments by Types: Software, Services
Detailed analysis of Marine Propulsion Engines market segments by Applications: Farm analytics, Livestock analytics, Aquaculture analytics, Others

Major Key Players of the Market: Deere & Company (United States), IBM (United States), SAP SE (Germany), Trimble (United States), Monsanto Company (United States), Oracle (United States), Accenture (Ireland), Iteris (United States), Taranis (Israel), Agribotix (United States), Agrivi (United Kingdom), DTN (United States), aWhere Inc. (United States), Conservis Corporation (United States), DeLaval (Sweden), Farmer’s Business Network (United States)

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report:
- -To carefully analyse and forecast the size of the Agriculture Analytics market by value and volume.
- -To estimate the market shares of major segments of the Agriculture Analytics market.
- -To showcase the development of the Agriculture Analytics market in different parts of the world.
- -To analyse and study micro-markets in terms of their contributions to the Agriculture Analytics market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the Agriculture Analytics market.
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Agriculture Analytics market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Global Agriculture Analytics Market Breakdown by Application (Farm analytics, Livestock analytics, Aquaculture analytics, Others) by Type (Software, Services) by Deployment (Cloud-Based, On-Premise) by Farm Size (Small and Medium Farms, Large Farms) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

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Key takeaways from the Agriculture Analytics market report:
– Detailed consideration of Agriculture Analytics market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
– Comprehensive valuation of all prospects and threats in the
– In-depth study of industry strategies for growth of the Agriculture Analytics market-leading players.
– Agriculture Analytics market latest innovations and major procedures.
– Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
– Conclusive study about the growth conspiracy of Agriculture Analytics market for forthcoming years.

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Major highlights from Table of Contents:
Agriculture Analytics Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of Agriculture Analytics Market Dynamics, Size, and Growth Trend 2018-2028 market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- Agriculture Analytics Market Dynamics, Size, and Growth Trend 2018-2028 Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- Agriculture Analytics Market Production by Region Agriculture Analytics Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in Agriculture Analytics Market Report:
- Agriculture Analytics Overview, Definition and Classification Market drivers and barriers
- Agriculture Analytics Market Competition by Manufacturers
- Agriculture Analytics Capacity, Production, Revenue (Value) by Region (2023-2029)
- Agriculture Analytics Supply (Production), Consumption, Export, Import by Region (2023-2029)
- Agriculture Analytics Production, Revenue (Value), Price Trend by Type {Software, Services}
- Agriculture Analytics Market Analysis by Application {Farm analytics, Livestock analytics, Aquaculture analytics, Others}
- Agriculture Analytics Manufacturers Profiles/Analysis Agriculture Analytics Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Major questions answered:
- What are influencing factors driving the demand for Agriculture Analytics near future?
- What is the impact analysis of various factors in the Global Agriculture Analytics market growth?
- What are the recent trends in the regional market and how successful they are?
- How feasible is Agriculture Analytics market for long-term investment?

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