Global Geospatial Analytics Artificial Intelligence Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global Geospatial Analytics Artificial Intelligence Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Geospatial analytics artificial intelligence is generally called geospatial AI, which is the integration of artificial intelligence and geospatial data.
Geospatial Analytics Artificial Intelligence report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. Global Geospatial Analytics Artificial Intelligence market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Demand from Real Estate and Sales and Marketing are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Geospatial Analytics Artificial Intelligence industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Geospatial Analytics Artificial Intelligence key companies include Google, Microsoft, Geoblink, ESRI, Trimble Inc., HEXAGON, Harris Corporation, DigitalGlobe and Bentley Systems,Incorporated, etc. Google, Microsoft, Geoblink are top 3 players and held % share in total in 2023.
Geospatial Analytics Artificial Intelligence can be divided into Vector Data and Raster Data, etc. Vector Data is the mainstream product in the market, accounting for % share globally in 2023.
Geospatial Analytics Artificial Intelligence is widely used in various fields, such as Real Estate, Sales and Marketing, Weather Centers and Agriculture, etc. Real Estate provides greatest supports to the Geospatial Analytics Artificial Intelligence industry development. In 2023, global % share of Geospatial Analytics Artificial Intelligence went into Real Estate filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Geospatial Analytics Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
Google
Microsoft
Geoblink
ESRI
Trimble Inc.
HEXAGON
Harris Corporation
DigitalGlobe
Bentley Systems,Incorporated
General Electric
Segment by Type
Vector Data
Raster Data
Real Estate
Sales and Marketing
Weather Centers
Agriculture
Transportation and Logistics
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Geospatial Analytics Artificial Intelligence market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Geospatial Analytics Artificial Intelligence introduction, etc. Geospatial Analytics Artificial Intelligence Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of Geospatial Analytics Artificial Intelligence market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
Geospatial Analytics Artificial Intelligence report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. Global Geospatial Analytics Artificial Intelligence market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Demand from Real Estate and Sales and Marketing are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Geospatial Analytics Artificial Intelligence industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Geospatial Analytics Artificial Intelligence key companies include Google, Microsoft, Geoblink, ESRI, Trimble Inc., HEXAGON, Harris Corporation, DigitalGlobe and Bentley Systems,Incorporated, etc. Google, Microsoft, Geoblink are top 3 players and held % share in total in 2023.
Geospatial Analytics Artificial Intelligence can be divided into Vector Data and Raster Data, etc. Vector Data is the mainstream product in the market, accounting for % share globally in 2023.
Geospatial Analytics Artificial Intelligence is widely used in various fields, such as Real Estate, Sales and Marketing, Weather Centers and Agriculture, etc. Real Estate provides greatest supports to the Geospatial Analytics Artificial Intelligence industry development. In 2023, global % share of Geospatial Analytics Artificial Intelligence went into Real Estate filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Geospatial Analytics Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
By Company
Microsoft
Geoblink
ESRI
Trimble Inc.
HEXAGON
Harris Corporation
DigitalGlobe
Bentley Systems,Incorporated
General Electric
Segment by Type
Vector Data
Raster Data
Segment by Application
Real Estate
Sales and Marketing
Weather Centers
Agriculture
Transportation and Logistics
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Geospatial Analytics Artificial Intelligence market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Geospatial Analytics Artificial Intelligence introduction, etc. Geospatial Analytics Artificial Intelligence Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of Geospatial Analytics Artificial Intelligence market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.