Global Geospatial Analytics Market - By Type , Industry, Geography, Trends, Forecast - 2017 - 2022

  • ID: 4388050
  • Report
  • Region: Global
  • 141 pages
  • Mordor Intelligence
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Global Geospatial Analytics market is valued at USD XX.XX billion in 2016 and is expected to reach a value of USD XX.XX billion by the end of 2022, growing at a projected CAGR of XX.XX% during the forecast period of 2017 - 2022. The market is increasing in a decent pace, and isn't going to saturate throughout the forecast period.

Geospatial analysis is a method to apply statistical analysis and other informational techniques to data which has a geospatial aspect. Such analysis would typically make service software capable of geospatial processing and representation, and apply analytical methods to geographic datasets, including the usage of geographic information systems and geomatics.

Conventionally, geospatial computing was conducted on PCs or servers. Due to the growing capabilities of mobile devices, geospatial computing in mobile devices is a rising trend. The transportable nature of these devices and the existence of beneficial sensors such as Global Navigation Satellite System receivers & barometric pressure sensors make them valuable for capturing and processing geospatial info in the field. The local processing of geospatial information on mobile devices leads to another rising trend is cloud-based geospatial computing. In this architecture, data can be collected in the field by means of mobile devices and then conveyed to cloud-based servers for further processing and storage. In a related manner, geospatial information can be made accessible to connected mobile devices via the cloud, letting access to vast databases of geospatial information anywhere a wireless data connection is available.

Market Segmentation is done on the basis of type, technology, application, vertical, hardware and geography.

According to type, market is divided into

Three types of technologies are employed- They are

On the basis of application, there are several areas that use geospatial analytics such as

Due to these applications the demand for geospatial analytics has furthermore increased.

According to verticals, market can be divided into

On the basis of hardware, market can be divided into

Geographically, the Geospatial Analytics Market has been segmented into five regions, namely,

Major players in the Geospatial Analytics market are ESRI Inc., MDA Corporation, Hexagon Ab, Trimble Geospatial, Bentley Systems, Fugro and Harris Corporation.
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1. Introduction
1.1 Research methodology
1.2 Market Definition
1.3 Report Description
2. Key Findings
3. Market Overview & Dynamics
3.1 Introduction
3.2 Drivers
3.3 Restraints
4. Porter's Five Forces Analysis
4.1 Bargaining power of Suppliers
4.2 Bargaining power of Buyers
4.3 Degree of Competition
4.4 Threat of Substitution
4.5 Threat of new entrants
5. Market Segmentation
5.1 By Type
5.1.1 Surface Analysis
5.1.2 Network Analysis
5.1.3 Geo Visualization
5.2 By Technology
5.2.1 Remote Sensing Market
5.2.2 GPS Market
5.2.3 GIS Market
5.3 By Application
5.3.1 Surveying
5.3.2 Disaster Risk Reduction and Management
5.3.3 Medicine and Public Safety
5.3.4 Climate Change Adaption
5.4 By Vertical
5.4.1 Business
5.4.2 Utility and Communication
5.4.3 Defence and Intelligence
5.4.4 Automotive
5.4.5 Government
5.4.6 Natural Resources
5.5 By Hardware
5.5.1 Storage
5.5.2 Server
5.5.3 Networking
6. Market Segmentation, By Region
6.1 North America
6.1.1 US
6.1.2 Canada
6.1.3 Others
6.2 Europe
6.2.1 Germany
6.2.2 France
6.2.3 UK
6.2.4 Italy
6.2.5 Spain
6.2.6 Russia
6.2.7 Others
6.3 APAC
6.3.1 China
6.3.2 Japan
6.3.3 India
6.3.4 Australia
6.3.5 South Korea
6.3.6 Others
6.4 Middle East and Africa
6.4.1 UAE
6.4.2 Saudi Arabia
6.4.3 Israel
6.4.4 Others
6.5 Latin America
6.5.1 Brazil
6.5.2 Argentina
6.5.3 Mexico
6.5.4 Others
7. Company Profiles
7.1 ESRI Inc.
7.2 MDA Corporation
7.3 Hexagon Ab
7.4 Trimble Geospatial
7.5 Bentley Systems
7.6 Fugro
7.7 Harris Corporation
8. Investment Analysis
9. Future of Geospatial Analytics Market
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