Global Agricultural Big Data Services Market Growth (Status and Outlook) 2024-2030

Global Agricultural Big Data Services Market Growth (Status and Outlook) 2024-2030

Agricultural Big Data Services (ABDS) is a term that refers to the collection, analysis, and utilization of large amounts of data from various sources to improve agricultural productivity, efficiency, and sustainability. ABDS can help farmers and other stakeholders make data-driven decisions based on real-time information, such as weather, soil, crop, market, and supply chain data. ABDS can also enable the development of new technologies and innovations, such as precision agriculture, smart irrigation, crop monitoring, and pest and disease management.

The global Agricultural Big Data Services market size is projected to grow from US$ million in 2023 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

LPI (LP Information)' newest research report, the “Agricultural Big Data Services Industry Forecast” looks at past sales and reviews total world Agricultural Big Data Services sales in 2023, providing a comprehensive analysis by region and market sector of projected Agricultural Big Data Services sales for 2024 through 2030. With Agricultural Big Data Services sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Agricultural Big Data Services industry.

This Insight Report provides a comprehensive analysis of the global Agricultural Big Data Services landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Agricultural Big Data Services portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Agricultural Big Data Services market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Agricultural Big Data Services and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Agricultural Big Data Services.

United States market for Agricultural Big Data Services is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for Agricultural Big Data Services is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for Agricultural Big Data Services is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key Agricultural Big Data Services players cover AI Ke Nong, Talend, CGIAR and Ksolves, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of Agricultural Big Data Services market by product type, application, key players and key regions and countries.

Segmentation by type
Hardware Solution Services
Software Solution Services

Segmentation by application
Personal Use
Commercial

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
AI Ke Nong
Talend
CGIAR
Ksolves

Please note: The report will take approximately 2 business days to prepare and deliver.