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Geospatial Analytics Market - Growth, Trends, And Forecast (2020 - 2025)

Published on: Jan 2020 | From USD $4250 | Published By: MORDOR INTELLIGENCE | Number Of Pages: 143

Market Overview

The geospatial analytics market was valued at USD 21.00 billion in 2019 and is expected to reach a value of USD 31.39 billion by 2025, at a CAGR of 7.2%, over the forecast period (2020 - 2025). Geospatial analysis refers to a broad range of activities, which emphasize on applying various techniques to data, comprising of geographical or space-related characteristics.

- Some of the key factors driving the growth of the geospatial analytics market include the growing use of GPS devices, technological advancements in the field of GIS technology, recent trends in integration and convergence of geospatial technologies, advent of new business models aimed at leveraging the demand for geospatial information, and increased application of geospatial analytics in city and town planning.
- There have been recent developments leading to the convergence of geospatial practices. For instance, Kongsberg Geospatial, an Ottawa-based developer of real-time, mission-critical, geospatial visualization software, and CarteNav Solutions, a leading provider of situational awareness solutions for the maritime, land, and air environments, recently declared that their TerraLens platform was selected by CarteNav to provide geospatial capabilities for its new generation of CarteNav’s mission system software called AIMS.
- The smart city investments have escalated rapidly in the present days and are expected to boost the demand for services that use location-based solutions. Further, the Consumer Technology Association reported that the smart city spending to be USD 14.85 billion in 2015, and is anticipated to reach USD 34.35 billion by 2020.
- There are also high costs and operational concerns. However, geospatial analytics tools are further leveraging the strengths of machine learning models, for making informed predictions and unlocking key patterns, among the real-world problems.

Scope of the Report

The geospatial analysis uses this data to build infrastructure, graphs and blueprints, statistics, and cartograms, making complex relationships understandable. It collects information, display of images, geographical coordinates, etc. It is used in monitoring the climate and weather, helps retail stores in planning their logistics transportation, human population forecasting, and others. This report segments the market by Type (Surface Analysis, Network Analysis, Geovisualization) End-user Industry(Agriculture, Utility and Communication, Defense and Intelligence, Government, Natural Resources) and Geography.

Key Market Trends

Defense and Intelligence has Seen the Maximum Application in Geospatial Analytics Market

- Historically, the defense and intelligence end-user vertical has been one of the forerunners, in terms of geospatial analytics adoption for gathering actionable intelligence from massive amounts of imagery and other data.
- NATO, for its peacekeeping and security missions, need fast and easy access to accurate and up-to-date geographic information. Data, thus available, is analyzed to evaluate terrains, ship, and other vessels navigation and logistics management
- Companies operating in this space are involved in M&A activity to develop highly specialized solutions, capable of handling strategic decisions. Since October 2017, there have been seven acquisitions within geospatial analytics and geographic information system companies. DigitalGlobe, a provider of high-resolution optical satellite imagery, was acquired by MacDonald, Dettwiler and Associates’ (MDA’s) for a whopping USD 3.5 billion.
- The increasing crime rates have propelled the governments to deploy solutions that enable them to track the source of crimes or provides them with the intel that would allow them to stop the crime even before it occurs. This is expected t boost the adoption of the geospatial analytics over the forecast period.

Asia-Pacific to Have the Highest Growth in Geospatial Analytics Market

-Chinese government is investing in developing a spaceborne-airborne observation system to improve the national, regional, and global ability in responding to emergencies, and to enhance human health, security, and well-being.
-The initiative from the government is also driving the growth for the geospatial analytics growth in the country. In 2018, the Chinese government initiated its first comprehensive survey of geographical conditions. It is going to be processed on the geographic investigation to report on the country's overall situation and data on land and soil, water, and agriculture, which serves as a firsthand reference for policymaking.
-The emerging trend of mobility as a service in the logistics industry is growing significantly in India. According to Morgan Stanley, it is expected that 35% of every mile traveled in India will be covered by shared miles. This is one of the major driving opportunities for the new business models in the mobility businesses, along with an ongoing massive transformation in terms of electrification, shared, and connectivity.
-Also, Indonesian companies are developing new opportunities for geospatial technologies in the country, by using advanced technologies, like LiDAR. For instance, Terra Drone Indonesia, a group company of Terra Drone Corporation, demonstrated its drone surveying and mapping services, based on LiDAR, for the construction companies.

Competitive Landscape

Key Market Players are General Electric (GE), ESRI Inc., MDA Corporation, Hexagon AB, Trimble Geospatial, Bentley Systems, Inc., and others. The market is led by these giants and they dominate the market. Hence the market is consolidated. Therefore, market concentration is high.

- September 2018 - Hexagon AB will be displaying its Smart M App portfolio, a simple to use the platform to build lightweight and dynamic applications targeted to solve a specific problem. The solution combines content, business workflows, and geoprocessing into a single application to deliver geospatial analytics as a service.
- March 2019 - Esri opened its latest research and development center, in New Delhi, India. The new location will focus on data science, deep learning, and geospatial artificial intelligence (GeoAI) solutions.

Reasons to Purchase this report:

- The market estimate (ME) sheet in Excel format
- Report customization as per the client's requirements
- 3 months of analyst support

1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Convergence of Geospatial Practices
4.3.2 Increased Adoption of Geospatial Services in Novel Applications
4.3.3 Commoditization of Geospatial Information
4.4 Market Restraints
4.4.1 High Costs and Operational Concerns
4.5 Value Chain / Supply Chain Analysis
4.6 Industry Attractiveness - Porter's Five Forces Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION
5.1 By Type
5.1.1 Surface Analysis
5.1.2 Network Analysis
5.1.3 Geovisualization
5.1.4 Other Types of Geospatial Analytics
5.2 By Technology
5.2.1 Remote Sensing
5.2.2 GPS
5.2.3 GIS
5.2.4 Other Geospatial Analytics Technologies
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
5.3.5 Other Geospatial Analytics Applications
5.4 By End-user Vertical
5.4.1 Business
5.4.2 Utility and Communication
5.4.3 Defense and Intelligence
5.4.4 Automotive
5.4.5 Government
5.4.6 Natural Resources
5.4.7 Natural Resources
5.5 Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.2 Europe
5.5.2.1 United Kingdom
5.5.2.2 Germany
5.5.2.3 France
5.5.2.4 Italy
5.5.2.5 Spain
5.5.2.6 Rest of Europe
5.5.3 Asia-Pacific
5.5.3.1 China
5.5.3.2 India
5.5.3.3 Japan
5.5.3.4 Australia
5.5.3.5 South Korea
5.5.3.6 Rest of Asia-Pacific
5.5.4 Latin America
5.5.4.1 Brazil
5.5.4.2 Argentina
5.5.4.3 Mexico
5.5.4.4 Rest of Latin America
5.5.5 Middle East & Africa
5.5.5.1 UAE
5.5.5.2 Saudi Arabia
5.5.5.3 South Africa
5.5.5.4 Egypt
5.5.5.5 Rest of Middle East & Africa

6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 ESRI Inc.
6.1.2 MDA Corporation
6.1.3 Hexagon AB
6.1.4 Trimble Geospatial
6.1.5 Bentley Systems, Inc.
6.1.6 Fugro NV
6.1.7 Harris Corporation
6.1.8 Atkins PLC
6.1.9 General Electric (GE)
6.1.10 Critigen LLC

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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