Global Cloud GIS 麻豆原创 2025 by Company, Regions, Type and Application, Forecast to 2031

Publication ID:

GIR022509693

Publication Date:

February 27, 2025

Pages:

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global Cloud GIS market size was valued at US$ 1558 million in 2024 and is forecast to a readjusted size of USD 4566 million by 2031 with a CAGR of 16.8% during review period.
Cloud GIS is the combination of running GIS software and services on cloud infrastructure and accessing GIS capabilities using the web. In addition, Cloud GIS could be defined as a next generation on-demand GIS technology that uses a virtualized platform or infrastructure in a scalable elastic environment.
Global major companies profiled in the Cloud GIS market include ESRI, Google Maps (Google), Bing Maps (Microsoft), etc. Among them, ESRI dominates the market and accounts for about 45% of global total share.
North America and Europe are likely to offer good prospects, both have a share about 60%.
In terms of product, SaaS is the largest segment, with a share over 75%. And in terms of application, the largest application is Enterprises, followed by Government.
This report is a detailed and comprehensive analysis for global Cloud GIS market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Cloud GIS market size and forecasts, in consumption value ($ Million), 2020-2031
Global Cloud GIS market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Cloud GIS market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Cloud GIS market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Cloud GIS
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Cloud GIS market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include ESRI, Google Maps (Google), Bing Maps (Microsoft), SuperMap, Zondy Cyber Group, GeoStar, Hexagon Geospatial, CARTO, GIS Cloud, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Cloud GIS market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
SaaS
PaaS
IaaS
麻豆原创 segment by Application
Government
Enterprises
麻豆原创 segment by players, this report covers
ESRI
Google Maps (Google)
Bing Maps (Microsoft)
SuperMap
Zondy Cyber Group
GeoStar
Hexagon Geospatial
CARTO
GIS Cloud
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Cloud GIS product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Cloud GIS, with revenue, gross margin, and global market share of Cloud GIS from 2020 to 2025.
Chapter 3, the Cloud GIS competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Cloud GIS market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Cloud GIS.
Chapter 13, to describe Cloud GIS research findings and conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Cloud GIS by Type
1.3.1 Overview: Global Cloud GIS 麻豆原创 Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Cloud GIS Consumption Value 麻豆原创 Share by Type in 2024
1.3.3 SaaS
1.3.4 PaaS
1.3.5 IaaS
1.4 Global Cloud GIS 麻豆原创 by Application
1.4.1 Overview: Global Cloud GIS 麻豆原创 Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Government
1.4.3 Enterprises
1.5 Global Cloud GIS 麻豆原创 Size & Forecast
1.6 Global Cloud GIS 麻豆原创 Size and Forecast by Region
1.6.1 Global Cloud GIS 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Cloud GIS 麻豆原创 Size by Region, (2020-2031)
1.6.3 North America Cloud GIS 麻豆原创 Size and Prospect (2020-2031)
1.6.4 Europe Cloud GIS 麻豆原创 Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Cloud GIS 麻豆原创 Size and Prospect (2020-2031)
1.6.6 South America Cloud GIS 麻豆原创 Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Cloud GIS 麻豆原创 Size and Prospect (2020-2031)
2 Company Profiles
2.1 ESRI
2.1.1 ESRI Details
2.1.2 ESRI Major Business
2.1.3 ESRI Cloud GIS Product and Solutions
2.1.4 ESRI Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.1.5 ESRI Recent Developments and Future Plans
2.2 Google Maps (Google)
2.2.1 Google Maps (Google) Details
2.2.2 Google Maps (Google) Major Business
2.2.3 Google Maps (Google) Cloud GIS Product and Solutions
2.2.4 Google Maps (Google) Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.2.5 Google Maps (Google) Recent Developments and Future Plans
2.3 Bing Maps (Microsoft)
2.3.1 Bing Maps (Microsoft) Details
2.3.2 Bing Maps (Microsoft) Major Business
2.3.3 Bing Maps (Microsoft) Cloud GIS Product and Solutions
2.3.4 Bing Maps (Microsoft) Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.3.5 Bing Maps (Microsoft) Recent Developments and Future Plans
2.4 SuperMap
2.4.1 SuperMap Details
2.4.2 SuperMap Major Business
2.4.3 SuperMap Cloud GIS Product and Solutions
2.4.4 SuperMap Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.4.5 SuperMap Recent Developments and Future Plans
2.5 Zondy Cyber Group
2.5.1 Zondy Cyber Group Details
2.5.2 Zondy Cyber Group Major Business
2.5.3 Zondy Cyber Group Cloud GIS Product and Solutions
2.5.4 Zondy Cyber Group Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.5.5 Zondy Cyber Group Recent Developments and Future Plans
2.6 GeoStar
2.6.1 GeoStar Details
2.6.2 GeoStar Major Business
2.6.3 GeoStar Cloud GIS Product and Solutions
2.6.4 GeoStar Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.6.5 GeoStar Recent Developments and Future Plans
2.7 Hexagon Geospatial
2.7.1 Hexagon Geospatial Details
2.7.2 Hexagon Geospatial Major Business
2.7.3 Hexagon Geospatial Cloud GIS Product and Solutions
2.7.4 Hexagon Geospatial Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.7.5 Hexagon Geospatial Recent Developments and Future Plans
2.8 CARTO
2.8.1 CARTO Details
2.8.2 CARTO Major Business
2.8.3 CARTO Cloud GIS Product and Solutions
2.8.4 CARTO Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.8.5 CARTO Recent Developments and Future Plans
2.9 GIS Cloud
2.9.1 GIS Cloud Details
2.9.2 GIS Cloud Major Business
2.9.3 GIS Cloud Cloud GIS Product and Solutions
2.9.4 GIS Cloud Cloud GIS Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.9.5 GIS Cloud Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Cloud GIS Revenue and Share by Players (2020-2025)
3.2 麻豆原创 Share Analysis (2024)
3.2.1 麻豆原创 Share of Cloud GIS by Company Revenue
3.2.2 Top 3 Cloud GIS Players 麻豆原创 Share in 2024
3.2.3 Top 6 Cloud GIS Players 麻豆原创 Share in 2024
3.3 Cloud GIS 麻豆原创: Overall Company Footprint Analysis
3.3.1 Cloud GIS 麻豆原创: Region Footprint
3.3.2 Cloud GIS 麻豆原创: Company Product Type Footprint
3.3.3 Cloud GIS 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Cloud GIS Consumption Value and 麻豆原创 Share by Type (2020-2025)
4.2 Global Cloud GIS 麻豆原创 Forecast by Type (2026-2031)
5 麻豆原创 Size Segment by Application
5.1 Global Cloud GIS Consumption Value 麻豆原创 Share by Application (2020-2025)
5.2 Global Cloud GIS 麻豆原创 Forecast by Application (2026-2031)
6 North America
6.1 North America Cloud GIS Consumption Value by Type (2020-2031)
6.2 North America Cloud GIS 麻豆原创 Size by Application (2020-2031)
6.3 North America Cloud GIS 麻豆原创 Size by Country
6.3.1 North America Cloud GIS Consumption Value by Country (2020-2031)
6.3.2 United States Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
6.3.3 Canada Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
6.3.4 Mexico Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
7 Europe
7.1 Europe Cloud GIS Consumption Value by Type (2020-2031)
7.2 Europe Cloud GIS Consumption Value by Application (2020-2031)
7.3 Europe Cloud GIS 麻豆原创 Size by Country
7.3.1 Europe Cloud GIS Consumption Value by Country (2020-2031)
7.3.2 Germany Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
7.3.3 France Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
7.3.4 United Kingdom Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
7.3.5 Russia Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
7.3.6 Italy Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Cloud GIS Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Cloud GIS Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Cloud GIS 麻豆原创 Size by Region
8.3.1 Asia-Pacific Cloud GIS Consumption Value by Region (2020-2031)
8.3.2 China Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8.3.3 Japan Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8.3.4 South Korea Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8.3.5 India Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8.3.6 Southeast Asia Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
8.3.7 Australia Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
9 South America
9.1 South America Cloud GIS Consumption Value by Type (2020-2031)
9.2 South America Cloud GIS Consumption Value by Application (2020-2031)
9.3 South America Cloud GIS 麻豆原创 Size by Country
9.3.1 South America Cloud GIS Consumption Value by Country (2020-2031)
9.3.2 Brazil Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
9.3.3 Argentina Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Cloud GIS Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Cloud GIS Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Cloud GIS 麻豆原创 Size by Country
10.3.1 Middle East & Africa Cloud GIS Consumption Value by Country (2020-2031)
10.3.2 Turkey Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
10.3.4 UAE Cloud GIS 麻豆原创 Size and Forecast (2020-2031)
11 麻豆原创 Dynamics
11.1 Cloud GIS 麻豆原创 Drivers
11.2 Cloud GIS 麻豆原创 Restraints
11.3 Cloud GIS Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Cloud GIS Industry Chain
12.2 Cloud GIS Upstream Analysis
12.3 Cloud GIS Midstream Analysis
12.4 Cloud GIS Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

ESRI
Google Maps (Google)
Bing Maps (Microsoft)
SuperMap
Zondy Cyber Group
GeoStar
Hexagon Geospatial
CARTO
GIS Cloud

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