DUBLIN--(BUSINESS WIRE)--The "GIS
in Telecom Sector Market by Type - Global Opportunity Analysis and
Industry Forecast, 2017-2023" report has been added to ResearchAndMarkets.com's
Geographic information system (GIS) in telecom sector is a system designed to capture, record, manage, analyze, and interpret all types of geographical data such as geographical space, location features, and other standard attributes for effective functioning and performance of the telecom network. This useful information can be used to monitor and analyze trends such as consumer behavior, competitors signal spread, network coverage, preferred product, signal strength, demographics, and consumption pattern.
The growth of the global GIS in telecom sector market is driven by rise in adoption of GIS applications for mobile and broadband services, emergence of satellite imagery, and rise in demand for network installation across the rural area. However, rise in threats of open source software & cyber threats and government regulations & guidelines related to telecom industry are expected to restrict the GIS in telecom sector market growth. Conversely, government initiatives in building smart city projects and emerging innovation in the field of mobile telecommunications technology are expected to provide potential growth opportunities for the GIS in telecom sector market.
- Bentley Systems Incorporated
- Blue Marble Geographics
- Cyient Ltd.
- ESRI (Environmental Systems Research Institute) Inc.
- Harris Corporation
- Hexagon AB
- Pitney Bowes Inc.
- RMSI Inc.
- Spatial Business Systems, Inc.
- Trimble Inc.
Key Topics Covered:
Chapter 1 Introduction
Chapter 2 Executive Summary
Chapter 3 Market Overview
Chapter 4 GIS In Telecom Sector Market, By Type
Chapter 5 GIS In Telecom Sector Market, By Deployment Model
Chapter 6 GIS In Telecom Sector Market, By End User
Chapter 7 GIS In Telecom Sector Market, By Geography
Chapter 8 Company Profiles
For more information about this report visit https://www.researchandmarkets.com/research/qp72d9/global_gis_in?w=4