Global GIS in the Cloud 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR062405195

Publication Date:

June 11, 2024

Pages:

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global GIS in the Cloud market size was valued at USD 1312.6 million in 2023 and is forecast to a readjusted size of USD 3814.1 million by 2030 with a CAGR of 16.5% 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 includes an overview of the development of the GIS in the Cloud industry chain, the market status of Government (SaaS, PaaS), Enterprises (SaaS, PaaS), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of GIS in the Cloud.
Regionally, the report analyzes the GIS in the Cloud markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global GIS in the Cloud market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the GIS in the Cloud market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the GIS in the Cloud industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., SaaS, PaaS).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the GIS in the Cloud market.
Regional Analysis: The report involves examining the GIS in the Cloud market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the GIS in the Cloud market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to GIS in the Cloud:
Company Analysis: Report covers individual GIS in the Cloud players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards GIS in the Cloud This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Government, Enterprises).
Technology Analysis: Report covers specific technologies relevant to GIS in the Cloud. It assesses the current state, advancements, and potential future developments in GIS in the Cloud areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the GIS in the Cloud market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
GIS in the Cloud market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
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 Crber
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, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and 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 GIS in the Cloud product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of GIS in the Cloud, with revenue, gross margin and global market share of GIS in the Cloud from 2019 to 2024.
Chapter 3, the GIS in the Cloud 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 application, with consumption value and growth rate by Type, application, from 2019 to 2030.
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 2019 to 2024.and GIS in the Cloud market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of GIS in the Cloud.
Chapter 13, to describe GIS in the Cloud 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 of GIS in the Cloud
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of GIS in the Cloud by Type
1.3.1 Overview: Global GIS in the Cloud 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global GIS in the Cloud Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 SaaS
1.3.4 PaaS
1.3.5 IaaS
1.4 Global GIS in the Cloud 麻豆原创 by Application
1.4.1 Overview: Global GIS in the Cloud 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Government
1.4.3 Enterprises
1.5 Global GIS in the Cloud 麻豆原创 Size & Forecast
1.6 Global GIS in the Cloud 麻豆原创 Size and Forecast by Region
1.6.1 Global GIS in the Cloud 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global GIS in the Cloud 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America GIS in the Cloud 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe GIS in the Cloud 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific GIS in the Cloud 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America GIS in the Cloud 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa GIS in the Cloud 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 ESRI
2.1.1 ESRI Details
2.1.2 ESRI Major Business
2.1.3 ESRI GIS in the Cloud Product and Solutions
2.1.4 ESRI GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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) GIS in the Cloud Product and Solutions
2.2.4 Google Maps(Google) GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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) GIS in the Cloud Product and Solutions
2.3.4 Bing Maps(Microsoft) GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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 GIS in the Cloud Product and Solutions
2.4.4 SuperMap GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 SuperMap Recent Developments and Future Plans
2.5 Zondy Crber
2.5.1 Zondy Crber Details
2.5.2 Zondy Crber Major Business
2.5.3 Zondy Crber GIS in the Cloud Product and Solutions
2.5.4 Zondy Crber GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Zondy Crber Recent Developments and Future Plans
2.6 GeoStar
2.6.1 GeoStar Details
2.6.2 GeoStar Major Business
2.6.3 GeoStar GIS in the Cloud Product and Solutions
2.6.4 GeoStar GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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 GIS in the Cloud Product and Solutions
2.7.4 Hexagon Geospatial GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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 GIS in the Cloud Product and Solutions
2.8.4 CARTO GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
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 GIS in the Cloud Product and Solutions
2.9.4 GIS Cloud GIS in the Cloud Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 GIS Cloud Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global GIS in the Cloud Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of GIS in the Cloud by Company Revenue
3.2.2 Top 3 GIS in the Cloud Players 麻豆原创 Share in 2023
3.2.3 Top 6 GIS in the Cloud Players 麻豆原创 Share in 2023
3.3 GIS in the Cloud 麻豆原创: Overall Company Footprint Analysis
3.3.1 GIS in the Cloud 麻豆原创: Region Footprint
3.3.2 GIS in the Cloud 麻豆原创: Company Product Type Footprint
3.3.3 GIS in the Cloud 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 GIS in the Cloud Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global GIS in the Cloud 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global GIS in the Cloud Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global GIS in the Cloud 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America GIS in the Cloud Consumption Value by Type (2019-2030)
6.2 North America GIS in the Cloud Consumption Value by Application (2019-2030)
6.3 North America GIS in the Cloud 麻豆原创 Size by Country
6.3.1 North America GIS in the Cloud Consumption Value by Country (2019-2030)
6.3.2 United States GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe GIS in the Cloud Consumption Value by Type (2019-2030)
7.2 Europe GIS in the Cloud Consumption Value by Application (2019-2030)
7.3 Europe GIS in the Cloud 麻豆原创 Size by Country
7.3.1 Europe GIS in the Cloud Consumption Value by Country (2019-2030)
7.3.2 Germany GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific GIS in the Cloud Consumption Value by Type (2019-2030)
8.2 Asia-Pacific GIS in the Cloud Consumption Value by Application (2019-2030)
8.3 Asia-Pacific GIS in the Cloud 麻豆原创 Size by Region
8.3.1 Asia-Pacific GIS in the Cloud Consumption Value by Region (2019-2030)
8.3.2 China GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America GIS in the Cloud Consumption Value by Type (2019-2030)
9.2 South America GIS in the Cloud Consumption Value by Application (2019-2030)
9.3 South America GIS in the Cloud 麻豆原创 Size by Country
9.3.1 South America GIS in the Cloud Consumption Value by Country (2019-2030)
9.3.2 Brazil GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa GIS in the Cloud Consumption Value by Type (2019-2030)
10.2 Middle East & Africa GIS in the Cloud Consumption Value by Application (2019-2030)
10.3 Middle East & Africa GIS in the Cloud 麻豆原创 Size by Country
10.3.1 Middle East & Africa GIS in the Cloud Consumption Value by Country (2019-2030)
10.3.2 Turkey GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE GIS in the Cloud 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 GIS in the Cloud 麻豆原创 Drivers
11.2 GIS in the Cloud 麻豆原创 Restraints
11.3 GIS in the Cloud 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 GIS in the Cloud Industry Chain
12.2 GIS in the Cloud Upstream Analysis
12.3 GIS in the Cloud Midstream Analysis
12.4 GIS in the Cloud 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 Crber
GeoStar
Hexagon Geospatial
CARTO
GIS Cloud

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