The global geospatial analytics market size was valued at USD 51,700.7 million in 2018, registering a CAGR of 15.0% from 2019 to 2025. Geospatial analytics refers to the collection and manipulation of data based on location. It uses multiple technological tools including Global Positioning Systems (GPS), Geographic Information Systems (GIS), georeferencing, metadata, and remote sensing to provide accurate modeling, trend analysis, and predictions. These analytics also filters out relevant and useful data from irrelevant data sets.
Increasing penetration and adoption of Internet of Things (IoT) across the globe coupled with the introduction of Artificial Intelligence (AI) and big data analysis are expected to result in significant growth of the market over the forecast period. In addition, various advancements in AI and big data have enabled providers of geospatial analytics solutions and services to offer on-demand analytics of large and complex datasets. These advancements have also enabled the integration of information systems with hybrid cloud computing environment.
Geospatial analysis applies various analytical techniques such as statistical analysis to analyze geographical and spatial data. It also uses software solutions that are capable of processing spatial data and rendering maps as well as applying analytical methods to geographic or terrestrial datasets with the help of GIS and geomatics. In addition, geospatial information systems can be easily integrated into an organization’s existing enterprise information systems. These advantages are the major driving factors for the geospatial analytics market growth.
However, some of the key restraining factors hampering the market growth include high acquisition costs and operational concerns such as lack of skilled human resource, limited presence of open standards and interoperability mechanisms, and integration issues between GIS and Environmental Resources Management (ERM) systems. Although the overall cost of geospatial analytics solutions has drastically declined over the last decade, owing to the increased availability of open source tools and plunging hardware costs, it still remains a major cause of concern for Small and Medium Scale Enterprises (SMEs).
Geospatial analytics was initially developed with an aim to tackle challenges faced by the environmental and life sciences industries, majorly focusing on ecology, epidemiology, and geology. However, the technology is now being widely adopted to cater to many different industries including government and defense, utilities, public safety, healthcare, and natural resources. It also finds major applications in Climate Change Adaptation (CCA) and Disaster Risk Reduction and Management (DRRM).
Based on component, the market has been segmented into software and service. The software segment dominated the market in 2018 owing to the increasing adoption of software solutions by companies for acquiring location-based Business Intelligence (BI) for informed decision making. In addition, there has been a significant rise in the adoption of analytics software for environment monitoring, forest management, and traffic monitoring. Moreover, the development of 4-dimensional GIS software bodes well for the growth of the software segment.
The service segment is anticipated to emerge as the fastest-growing segment over the forecast period. This can be attributed to the increasing requirement of installation, training, and support services to support the increasing deployment of software and solutions. Government agencies and public safety organizations are deploying analytics to monitor natural resources, infrastructure projects, and detect cross-border infiltration as well as to offer enhanced safety and security to vehicles. In addition, companies are also offering Geospatial Analytics-as-a-Service. For instance, the IBM Cloud Geospatial Analytics service enables users to accurately monitor locations of moving mobile devices in real-time. These factors are further anticipated to increase the demand for services over the forecast period.
Based on type, the market has been classified into network & location analytics, geovisualization, surface & field analytics, and others. The surface & field analytics segment dominated the market in 2018 owing to its wide adoption by government and private companies for infrastructure development projects, to determine the flow of water, and to design and construct drainage systems. This type of geospatial analytics service is also used in the agriculture sector to analyze topsoil erosion.
Meanwhile, the network & location analytics segment is anticipated to emerge as the fastest-growing segment over the forecast period owing to its increased use to optimize marketing strategies and develop and deliver highly-customized promotional content. Location is a vital component of geospatial analytics. The technology helps in enhancing the functionality, utility, and relevance of data analytics. It also has the capability of analyzing and organizing a large amount of data in real-time to derive decisive business insights. Additionally, it allows visualizing, understanding, and interpreting data in a number of ways to reveal relationships, trends, and patterns in the form of globes, maps, charts, and reports for marketing activities. This is crucial for any company looking to expand its operations, explore new markets, and achieve customer satisfaction.
Based on application, the market has been classified into surveying, medicine & public safety, military intelligence, disaster risk reduction & management, marketing management, Climate Change Adaptation (CCA), urban planning, and others. The surveying segment dominated the market in 2018 owing to its wide-scale adoption in agriculture and natural resource monitoring. However, the military intelligence segment is expected to emerge as the fastest-growing segment over the forecast period. This may be attributed to the increasing number of remote sensing satellites globally for border patrolling, which demands the use for geospatial analytics.
Remote sensing is majorly used for land surveying and in most of the earth science disciplines including hydrology, ecology, meteorology, oceanography, glaciology, and geology. Apart from the commercial, economic, planning, and humanitarian applications, remote sensing is also used for military intelligence purposes by countries with the most powerful military capabilities, such as the U.S., North Atlantic Treaty Organization (NATO), Russia, Japan, Israel, China, and India. Moreover, organizations such as National Emergency Management Agency (NEMA) use geospatial analytics for improving disaster response and preparedness as the technology helps in devising effective disaster management strategies through proper disaster visualization, deployment of rescue teams, and planning of post-disaster activities such as reconstruction and rehabilitation.
North America dominated the market in 2018 owing to the wide presence of key industry players offering geospatial analytics software and solutions in the region. Major players operating in the region include DigitalGlobe (U.S.), Alteryx, Inc. (U.S.), Harris Corporation (U.S.), Trimble Navigation Ltd. (U.S.), Pitney Bowes (U.S.), ESRI (U.S.), and Google LLC (U.S.). The increased adoption of emerging technologies such as big data analysis, cloud computing, IoT, AI, and other business intelligence tools in the region is one of the major factors driving the growth of the market in North America. In addition, the high number of available remote sensing satellites, availability of high-speed internet and communication network infrastructure, and widespread adoption of UAV technology to capture geospatial data are expected to further contribute to the market growth.
Meanwhile, the Asia Pacific region is projected to emerge as the fastest-growing market owing to the growing demand in China, India, and Japan. The increase in demand in China is mainly attributed to its rapid industrialization and growth of the infrastructure and logistics sectors. These countries are extensively using analytics solutions for disaster control, environment monitoring, and forest management. Moreover, there has been a significant rise in the adoption of geospatial analytics by government and public safety agencies in the region.
Key industry players operating in the market include Alteryx, Inc., DigitalGlobe, Fugro N.V., Hexagon AB, RMSI, SAP SE, Trimble Inc., Maxar Technologies Inc., MapLarge, Harris Corporation, Bentley Systems Incorporated, ESRI, General Electric Company, Oracle Corporation, and Google LLC. Numerous companies are focusing on various growth strategies such as new product launches, product enhancements, agreements, partnerships, and collaborations. For instance, in August 2016, IBM Watson formed a partnership with MAPBOX to offer analysis services to business users. These services enabled users to gain insights into the patterns of their location-related business data for improving marketing strategies and operations. The partnership also enabled IBM to provide valuable insights to customers operating in retail, insurance, defense, natural resources, utilities, medicine, social sciences, and public safety. In addition, the users were able to create custom maps for solving specific business cases and had an option to add natural language processing to geospatial insights.
Similarly, Munich RE, one of the largest and reputed re-insurance companies in the world, uses predictive analytics, simulation, and spatial data processing capabilities of SAP HANA, an application that combines GIS and mapping with business data processes. The company has also deployed SAP HANA’s cloud-based Earth Observation Analysis Service (EOAS) to analyze natural disaster data with public safety agencies to improve its decision-making capabilities with respect to insurance risks.
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Attribute |
Details |
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Base year for estimation |
2018 |
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Actual estimates/Historical data |
2014 - 2017 |
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Forecast period |
2019 - 2025 |
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Market representation |
Revenue in USD Million and CAGR from 2019 to 2025 |
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Regional scope |
North America, Europe, Asia Pacific, Latin America, and MEA |
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Country scope |
U.S., Canada, U.K., Germany, India, Japan, China, and Brazil |
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Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
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15% free customization scope (equivalent to 5 analyst working days) |
If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization. |
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2014 to 2025. For the purpose of this study, Grand View Research has segmented the global geospatial analytics market report based on component, type, application, and region:
Component Outlook (Revenue, USD Million, 2014 - 2025)
Software
Service
Type Outlook (Revenue, USD Million, 2014 - 2025)
Surface & Field Analytics
Network & Location Analytics
Geovisualization
Others
Application Outlook (Revenue, USD Million, 2014 - 2025)
Surveying
Medicine & Public Safety
Military Intelligence
Disaster Risk Reduction & Management
Marketing Management
Climate Change Adaptation (CCA)
Urban Planning
Others
Regional Outlook (Revenue, USD Million, 2014 - 2025)
North America
U.S.
Canada
Europe
U.K.
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Middle East & Africa
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