"Big Data Analytics In Agriculture Market Report encompasses market data, such as trends, consumer behavior, and competitive analysis in a way that allows businesses to identify opportunities in the market. The objective of the market research is understood very clearly by DBMR team before the creation of report is commenced. Intense research takes place to accurately analyze market dynamics and consumer behaviour included in the report.
Global Big Data Analytics in Agriculture Market, By Type (Capturing Data, Storing Data, Sharing Data, Analyzing Data, and Others), Application (Crop Production, Farm Equipment, Weather, and Chemicals), End users (Farmers, Agriculture Regulatory Bodies, Weather Forecast, Agrochemical and Farm Equipment Industries) – Industry Trends and Forecast to 2030.
Data Bridge Market Research analyses that the global big data analytics in agriculture market which was USD 1.24 billion in 2022, is expected to reach USD 3.95 billion by 2030, and is expected to undergo a CAGR of 15.60% during the forecast period of 2023 to 2030.
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Gathering data from various sources in agriculture, such as sensors, satellites, drones, weather stations, and farm equipment. This data can include information about soil conditions, weather patterns, crop growth, livestock health, and more. Combining and integrating data from multiple sources and formats into a unified and structured dataset for analysis. This may involve data cleansing and transformation to ensure data quality. Big data analytics in agriculture aims to enhance productivity, reduce costs, increase sustainability, and contribute to global food security by harnessing the potential of data to make more informed and precise decisions throughout the agricultural value chain.
Market Players Covered:
NTT Data Corporation (Japan), The Climate Corporation (U.S.), OnFarm (U.S.), Farmers Edge Inc. (Canada), Agribiotix (U.S.) , AgDNA (U.S.), Awhere (U.S.), Farmersedge (Canada) and Conservis (U.S.)
The Big Data Analytics In Agriculture market research report displays a comprehensive study on production capacity, consumption, import and export for all the major regions across the globe. The target audience considered for this market study mainly consists of Key consulting companies & advisors, Large, medium, and small-sized enterprises, Venture capitalists, Value-added resellers (VARs), Third-party knowledge providers, Investment bankers, and Investors. This global market analysis report is the believable source for gaining the market research that will exponentially accelerate the business growth. The top notch Big Data Analytics In Agriculture market report is the best option to acquire a professional in-depth study on the current state for the market.
Table of Contents: Big Data Analytics In Agriculture Market
1 Introduction
2 Global Big Data Analytics In Agriculture Market Segmentation
3 Executive Summary
4 Premium Insight
5 Market Overview
6 Big Data Analytics In Agriculture Market, by Product Type
7 Big Data Analytics In Agriculture Market, by Modality
8 Big Data Analytics In Agriculture Market, by Type
9 Big Data Analytics In Agriculture Market, by Mode
10 Big Data Analytics In Agriculture Market, by End User
12 Big Data Analytics In Agriculture Market, by Geography
12 Big Data Analytics In Agriculture Market, Company Landscape
13 Swot Analysis
14 Company Profiles
Countries Studied:
- North America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
- Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
- Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
- Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)
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