Geographic Information System Analytics Market is Growing at a CAGR of above 5.60 % between 2017 and
- Jyoti Waghmare
- Apr 11, 2019
- 2 min read
This report studies the Geographic Information Systems market status and outlook of global and major regions, from angles of players, regions, product and end Application/industries; this report analyzes the top players in global and major regions and splits the Geographic Information Systems market by product and Application/end industries. According to the report, global revenue for Geographic Information Systems was valued at $ 2200.82 million in 2017 and is expected to generate revenue of $ 3402.45 million by end of 2025, growing at a CAGR of slightly above 5.60 % between 2017 and 2025.
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The Asia-Pacific will occupy for more market share in following years, especially in China, also fast-growing India and Southeast Asia regions. United States will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Geographic Information Systems. Europe also play important roles in global market, with market size of 468.80 million USD in 2017 and will be 658.16 million USD in 2025, with a CAGR of 4.33%.
The major players in global market include
Table Global Geographic Information Systems Revenue (Million USD) by Company
• ESRI • Hexagon • Pitney Bowes • SuperMap • Bentley System • GE • GeoStar • Zondy Crber
Browse the Full Global Geographic Information System Analytics Market- Global Scenario, Industry Outlook, Analysis, Size, Trends and Forecast to 2025 at https://www.radiantinsights.com/research/global-geographic-information-system-analytics-market-2018
Geographically, this report split global into several key Regions, with, revenue (million USD), market share and growth rate of Geographic Information Systems for these regions, from 2012 to 2022 (forecast)
• United States • Europe • Canada • China • India • Southeast Asia
On the basis on the end users/Application, this report covers
• Government & Utilities • Business
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