DUBLIN--(BUSINESS WIRE)--The "Global Big Data Market in Agriculture Sector 2018-2022" report has been added to ResearchAndMarkets.com's offering.
The global big data market in agriculture sector to grow at a CAGR of 20.09% during the period 2018-2022.
Global Big Data Market in Agriculture Sector 2018-2022, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market. To calculate the market size, the report considers the revenue generated by the sales of software and services.
Big data refers to a large volume of data that is analyzed for insights, which can help a company make better decisions and strategic business moves. Big data is becoming increasingly essential in agricultural applications to help farmers meet the challenges of growing world population, climate change, and urbanization.
The latest trend gaining momentum in the market is the popularity of spatiotemporal big data analytics in agriculture. Spatiotemporal big data offers a forecast of disease risks in livestock. The data can include epidemiological, environmental, and weather-related data.
According to the report, one of the major drivers for this market is the rise in emphasis on optimizing agricultural production and farm management practices. The optimization of agricultural production and food supply chains is required for the efficient production and delivery of food to meet the rising demand.
Further, the report states that one of the major factors hindering the growth of this market is the high costs of data collection and storage. The collection, management, and analysis of big data is an expensive task. It becomes very difficult for small-scale farmers given the high price of equipment and services related to big data.
- Deere & Company
- Search Technologies
Key Topics Covered:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: MARKET LANDSCAPE
- Market ecosystem
- Market characteristics
- Market segmentation analysis
PART 05: MARKET SIZING
- Market definition
- Market sizing 2017
- Market size and forecast 2017-2022
PART 06: FIVE FORCES ANALYSIS
- Bargaining power of buyers
- Bargaining power of suppliers
- Threat of new entrants
- Threat of substitutes
- Threat of rivalry
- Market condition
PART 07: MARKET SEGMENTATION BY PRODUCT
- Segmentation by product
- Comparison by product
- Global big data services market in agriculture - Market size and forecast 2017-2022
- Global big data software market in agriculture - Market size and forecast 2017-2022
- Market opportunity by product
PART 08: CUSTOMER LANDSCAPE
PART 09: REGIONAL LANDSCAPE
- Geographical segmentation
- Regional comparison
- Key leading countries
- Market opportunity
PART 10: DECISION FRAMEWORK
PART 11: DRIVERS AND CHALLENGES
- Market drivers
- Market challenges
PART 12: MARKET TRENDS
- Growing popularity of spatiotemporal big data analytics in agriculture
- Introduction of new big data platforms
- Rise in adoption of precision agriculture
PART 13: VENDOR LANDSCAPE
- Landscape disruption
- Competitive scenario
PART 14: VENDOR ANALYSIS
- Vendors covered
- Vendor classification
- Market positioning of vendors
For more information about this report visit https://www.researchandmarkets.com/research/c7qb4p/global_big_data?w=4