Product Code: 2841
Geospatial Imagery Analytics Market is expected to showcase massive growth through 2032, owing to the rising traction of location-based applications, such as customer analytics, retail site selection, expansion planning, sales territory design, and supply chain management. In addition, the leading location-based service providers are collaborating with tech companies to augment the analytical capabilities of their location-based solutions, which will add to the market growth over the coming years.
Although, the market is expected to face hindrances in the coming years as geospatial imagery analytics systems are made up of highly complex map structures that are difficult to deploy with traditional maps to gain meaningful insights. However, mounting demand for communication services from deaf and speech-impaired individuals is anticipated to grow, which is likely to add impetus to the industry expansion. Besides, several government agencies are supporting the telecommunications relay service providers by offering significant relaxations, further transforming the market outlook.
Overall, the geospatial imagery analytics industry is segmented in terms of analytics type, deployment model, collection medium, application, and region.
Based on analytics type, the image-based analytics segment is expected to register massive growth during 2023-2032, driven by the growing adoption of geospatial technologies such as geographic information systems (GIS) and positioning systems. In addition, the geospatial imagery service providers are also constantly using surveillance cameras and drones to evaluate the video content to improve quality, which is further slated to result in segmental expansion.
Considering the deployment model, the on-premises segment would grow profusely by 2032 end. The on-premises deployment model empowers enterprises to install the GIS platform locally on their servers. In addition, it also offers enhanced performance and more control over security, updated software, and customized security settings. All these factors are slated to amplify the segment expansion over the coming years.
By collection medium, the geographic information systems (GIS) segment held over 45% market share in 2022 and is slated to grow exponentially through 2032. The growth can be attributed to the increasing adoption of GIS in remote sensing applications. In addition, GIS enables firms to undertake informative decisions by understanding patterns through the data collected, thereby positively impacting the adoption of geospatial imagery analytics.
Based on application, the agriculture segment is anticipated to exhibit over 25% CAGR during 2023-2032. The growth can be attributed to the increasing adoption of drones in the agriculture section for enhancing the safety of crops and judicious use of natural resources. In addition, the rising demand for precision farming is also anticipated to contribute significantly to the market expansion in the coming years.
Regionally, the North America geospatial imagery analytics industry was valued at over USD 2 billion in 2022 and is slated to register massive growth through 2032. Increasing investments by government agencies in developing new satellite systems and the mounting use of satellites and aerial-based positioning technology to support surveying and mapping services are some of the key factors supporting the market expansion throughout 2032.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Market definitions
- 1.2 Base estimates & calculations
- 1.3 Forecast calculation
- 1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
Chapter 2 Executive Summary
- 2.1 Geospatial imagery analytics industry 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.2.1 Total Addressable Market (TAM)
- 2.3 Regional trends
- 2.4 Analytics type trends
- 2.5 Deployment model trends
- 2.6 Collection medium trends
- 2.7 Application trends
Chapter 3 Geospatial Imagery Analytics Industry Insights
- 3.1 Introduction
- 3.2 Impact on COVID-19 impact
- 3.2.1 North America
- 3.2.2 Europe
- 3.2.3 Asia Pacific
- 3.2.4 Latin America
- 3.2.5 MEA
- 3.3 Russia- Ukraine war impact on geospatial imagery analytics industry
- 3.4 Geospatial imagery analytics benefits
- 3.4.1 Enhance data visualization
- 3.4.2 Analysis of sales performance
- 3.4.3 Asset management
- 3.4.4 Augments situational awareness and intelligence
- 3.4.5 Enhances transportation and logistics planning
- 3.5 Evolution of geospatial imagery analytics
- 3.6 Geospatial imagery analytics industry ecosystem analysis
- 3.6.1 GIS data collection software providers
- 3.6.2 GIS hardware providers
- 3.6.3 GIS analytics software provider
- 3.6.4 UAV providers
- 3.6.5 System integrators
- 3.6.6 End-users
- 3.6.7 Profit margin analysis
- 3.6.8 Vendor matrix
- 3.7 Technology & innovation landscape
- 3.7.1 Big Data Analytics
- 3.7.2 Artificial Intelligence (AI)
- 3.8 Patent analysis
- 3.9 Investment portfolio
- 3.10 News
- 3.10.1 North America
- 3.10.2 Europe
- 3.10.3 Asia Pacific
- 3.10.4 Latin America
- 3.10.5 MEA
- 3.11 Regulatory landscape
- 3.12 Impact forces
- 3.12.1 Growth drivers
- 3.12.1.1 Increasing demand for location-based services
- 3.12.1.2 Convergence of geospatial information with mainstream technologies
- 3.12.1.3 Growing demand for geospatial imagery analytics in the mining and construction sectors
- 3.12.1.4 Emergence of cloud-based geospatial imagery analytics
- 3.12.1.5 Rising demand for geospatial imagery analytics for national security and safety
- 3.12.2 Industry pitfalls & challenges
- 3.12.2.1 Stringent government policies regarding geospatial data
- 3.12.2.2 Data integration with enterprise solution
- 3.13 Growth potential analysis
- 3.14 Porter's analysis
- 3.15 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share, 2022
- 4.3 Competitive analysis of key market players, 2022
- 4.3.1 Alphabet Inc. (Google)
- 4.3.2 Environmental Systems Research Institute, Inc. (ESRI)
- 4.3.3 Maxar Technologies
- 4.3.4 SAP ES
- 4.3.5 Trimble Inc.
- 4.4 Competitive analysis of innovative market players, 2022
- 4.4.1 Autodesk Inc.
- 4.4.2 Hexagon AB
- 4.4.3 Oracle Corporation
- 4.4.4 TomTom International B.V.
- 4.5 Competitive positioning matrix
- 4.6 Strategic outlook matrix
Chapter 5 Geospatial Imagery Analytics Market, By Analytics Type
- 5.1 Key trends, by analytics type
- 5.2 Image-based analytics
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.3 Video-based analytics
- 5.3.1 Market estimates and forecast, 2018 - 2032
Chapter 6 Geospatial Imagery Analytics Market, By Deployment Model
- 6.1 Key trends, by deployment model
- 6.2 On-premise
- 6.2.1 Market estimates and forecast, 2018 - 2032
- 6.3 Cloud
- 6.3.1 Market estimates and forecast, 2018 - 2032
Chapter 7 Geospatial Imagery Analytics Market, By Collection Medium
- 7.1 Key trends, by collection medium
- 7.2 Geographic Information System (GIS)
- 7.2.1 Market estimates and forecast, 2018 - 2032
- 7.3 Satellite Imagery
- 7.3.1 Market estimates and forecast, 2018 - 2032
- 7.4 UAV
- 7.4.1 Market estimates and forecast, 2018 - 2032
- 7.5 Others
- 7.5.1 Market estimates and forecast, 2018 - 2032
Chapter 8 Geospatial Imagery Analytics Market, By Application
- 8.1 Key trends, by application
- 8.2 Agriculture
- 8.2.1 Market estimates and forecast, 2018 - 2032
- 8.3 Construction
- 8.3.1 Market estimates and forecast, 2018 - 2032
- 8.4 Mining
- 8.4.1 Market estimates and forecast, 2018 - 2032
- 8.5 Oil & gas
- 8.5.1 Market estimates and forecast, 2018 - 2032
- 8.6 Telecommunication
- 8.6.1 Market estimates and forecast, 2018 - 2032
- 8.7 Government
- 8.7.1 Market estimates and forecast, 2018 - 2032
- 8.8 Transportation & logistics
- 8.8.1 Market estimates and forecast, 2018 - 2032
- 8.9 Others
- 8.9.1 Market estimates and forecast, 2018 - 2032
Chapter 9 Geospatial Imagery Analytics Market, By Region
- 9.1 Key trends, by region
- 9.2 North America
- 9.2.1 Market estimates and forecast, 2018 - 2032
- 9.2.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.2.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.2.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.2.5 Market estimates and forecast, by application, 2018 - 2032
- 9.2.6 U.S.
- 9.2.6.1 Market estimates and forecast, 2018 - 2032
- 9.2.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.2.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.2.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.2.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.2.7 Canada
- 9.2.7.1 Market estimates and forecast, 2018 - 2032
- 9.2.7.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.2.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.2.7.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.2.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3 Europe
- 9.3.1 Market estimates and forecast, 2018 - 2032
- 9.3.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.6 UK
- 9.3.6.1 Market estimates and forecast, 2018 - 2032
- 9.3.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.7 Germany
- 9.3.7.1 Market estimates and forecast, 2018 - 2032
- 9.3.7.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.7.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.8 France
- 9.3.8.1 Market estimates and forecast, 2018 - 2032
- 9.3.8.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.8.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.9 Italy
- 9.3.9.1 Market estimates and forecast, 2018 - 2032
- 9.3.9.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.9.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.9.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.10 Spain
- 9.3.10.1 Market estimates and forecast, 2018 - 2032
- 9.3.10.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.10.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.10.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.11 Netherland
- 9.3.11.1 Market estimates and forecast, 2018 - 2032
- 9.3.11.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.3.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.11.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.3.11.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4 Asia Pacific
- 9.4.1 Market estimates and forecast, 2018 - 2032
- 9.4.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.6 China
- 9.4.6.1 Market estimates and forecast, 2018 - 2032
- 9.4.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.7 Japan
- 9.4.7.1 Market estimates and forecast, 2018 - 2032
- 9.4.7.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.7.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.8 India
- 9.4.8.1 Market estimates and forecast, 2018 - 2032
- 9.4.8.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.8.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.9 South Korea
- 9.4.9.1 Market estimates and forecast, 2018 - 2032
- 9.4.9.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.9.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.9.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.10 Australia & New Zealand
- 9.4.10.1 Market estimates and forecast, 2018 - 2032
- 9.4.10.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.10.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.10.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.11 Southeast Asia
- 9.4.11.1 Market estimates and forecast, 2018 - 2032
- 9.4.11.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.4.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.11.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.4.11.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5 Latin America
- 9.5.1 Market estimates and forecast, 2018 - 2032
- 9.5.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.5.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.5.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.5.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.6 Brazil
- 9.5.6.1 Market estimates and forecast, 2018 - 2032
- 9.5.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.5.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.5.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.5.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.7 Mexico
- 9.5.7.1 Market estimates and forecast, 2018 - 2032
- 9.5.7.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.5.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.5.7.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.5.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.8 Argentina
- 9.5.8.1 Market estimates and forecast, 2018 - 2032
- 9.5.8.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.5.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.5.8.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.5.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6 MEA
- 9.6.1 Market estimates and forecast, 2018 - 2032
- 9.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.6 South Africa
- 9.6.6.1 Market estimates and forecast, 2018 - 2032
- 9.6.6.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.6.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.6.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.6.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.7 UAE
- 9.6.7.1 Market estimates and forecast, 2018 - 2032
- 9.6.7.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.6.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.7.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.6.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.8 Saudi Arabia
- 9.6.8.1 Market estimates and forecast, 2018 - 2032
- 9.6.8.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.6.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.8.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.6.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.9 Israel
- 9.6.9.1 Market estimates and forecast, 2018 - 2032
- 9.6.9.2 Market estimates and forecast, by analytics type, 2018 - 2032
- 9.6.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.9.4 Market estimates and forecast, by collection medium, 2018 - 2032
- 9.6.9.5 Market estimates and forecast, by application, 2018 - 2032
Chapter 10 Company Profiles
- 10.1 Alteryx Inc.
- 10.1.1 Business Overview
- 10.1.2 Financial Data
- 10.1.3 Product Landscape
- 10.1.4 Strategic Outlook
- 10.1.5 SWOT Analysis
- 10.2 AeroVironment
- 10.2.1 Business Overview
- 10.2.2 Financial Data
- 10.2.3 Product Landscape
- 10.2.4 Strategic Outlook
- 10.2.5 SWOT Analysis
- 10.3 Alphabet Inc. (Google)
- 10.3.1 Business Overview
- 10.3.2 Financial Data
- 10.3.3 Product Landscape
- 10.3.4 Strategic Outlook
- 10.3.5 SWOT Analysis
- 10.4 Autodesk, Inc.
- 10.4.1 Business Overview
- 10.4.2 Financial Data
- 10.4.3 Product Landscape
- 10.4.4 Strategic Outlook
- 10.4.5 SWOT Analysis
- 10.5 BlackSky
- 10.5.1 Business Overview
- 10.5.2 Financial Data
- 10.5.3 Product Landscape
- 10.5.4 Strategic Outlook
- 10.5.5 SWOT Analysis
- 10.6 Environmental Systems Research Institute, Inc. (ESRI)
- 10.6.1 Business Overview
- 10.6.2 Financial Data
- 10.6.3 Product Landscape
- 10.6.4 Strategic Outlook
- 10.6.5 SWOT Analysis
- 10.7 Fugro NV
- 10.7.1 Business Overview
- 10.7.2 Financial Data
- 10.7.3 Product Landscape
- 10.7.4 Strategic Outlook
- 10.7.5 SWOT Analysis
- 10.8 General Electric
- 10.8.1 Business Overview
- 10.8.2 Financial Data
- 10.8.3 Product Landscape
- 10.8.4 Strategic Outlook
- 10.8.5 SWOT Analysis
- 10.9 GeoSpatila Analytics Inc
- 10.9.1 Business Overview
- 10.9.2 Financial Data
- 10.9.3 Product Landscape
- 10.9.4 Strategic Outlook
- 10.9.5 SWOT Analysis
- 10.10 Harris Corporation
- 10.10.1 Business Overview
- 10.10.2 Financial Data
- 10.10.3 Product Landscape
- 10.10.4 Strategic Outlook
- 10.10.5 SWOT Analysis
- 10.11 Hexagon AB
- 10.11.1 Business Overview
- 10.11.2 Financial Data
- 10.11.3 Product Landscape
- 10.11.4 Strategic Outlook
- 10.11.5 SWOT Analysis
- 10.12 Maxar Technologies
- 10.12.1 Business Overview
- 10.12.2 Financial Data
- 10.12.3 Product Landscape
- 10.12.4 Strategic Outlook
- 10.12.5 SWOT Analysis
- 10.13 Oracle Corporation
- 10.13.1 Business Overview
- 10.13.2 Financial Data
- 10.13.3 Product Landscape
- 10.13.4 Strategic Outlook
- 10.13.5 SWOT Analysis
- 10.14 Planet Labs PBC.
- 10.14.1 Business Overview
- 10.14.2 Financial Data
- 10.14.3 Product Landscape
- 10.14.4 Strategic Outlook
- 10.14.5 SWOT Analysis
- 10.15 Precision Hawk
- 10.15.1 Business Overview
- 10.15.2 Financial Data
- 10.15.3 Product Landscape
- 10.15.4 Strategic Outlook
- 10.15.5 SWOT Analysis
- 10.16 SAP SE
- 10.16.1 Business Overview
- 10.16.2 Financial Data
- 10.16.3 Product Landscape
- 10.16.4 Strategic Outlook
- 10.16.5 SWOT Analysis
- 10.17 Satellite Imaging Corporation
- 10.17.1 Business Overview
- 10.17.2 Financial Data
- 10.17.3 Product Landscape
- 10.17.4 Strategic Outlook
- 10.17.5 SWOT Analysis
- 10.18 SNC-Lavalin Group
- 10.18.1 Business Overview
- 10.18.2 Financial Data
- 10.18.3 Product Landscape
- 10.18.4 Strategic Outlook
- 10.18.5 SWOT Analysis
- 10.19 TomTom International B.V.
- 10.19.1 Business Overview
- 10.19.2 Financial Data
- 10.19.3 Product Landscape
- 10.19.4 Strategic Outlook
- 10.19.5 SWOT Analysis
- 10.20 Trimble, Inc.
- 10.20.1 Business Overview
- 10.20.2 Financial Data
- 10.20.3 Product Landscape
- 10.20.4 Strategic Outlook
- 10.20.5 SWOT Analysis