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The geospatial analytics market size is projected to reach a value of USD 102.97 billion with a CAGR of 17.72% between 2022 and 2027.
There is a rise in the adoption of geospatial data analytics in the healthcare and insurance sectors. This surge is also evident in its use in disaster management, highlighting the growing importance of real-time information capture. The integration of geospatial data analytics in these sectors signifies a significant shift towards leveraging location-based data for improved decision-making and operational efficiency. Furthermore, the demand for real-time information capture reflects the need for timely and accurate information in critical situations, such as natural disasters or public health emergencies. As organizations continue to recognize the value of analytics, its application is expected to expand further, driving innovation and efficiency across various industries.
Study Period | 2023-2027 |
Base Year For Estimation |
2022 |
CAGR | 17.72% |
Historic period |
2017 - 2021 |
Fastest Growing Region |
North America at 39% |
Largest Segment |
Technology |
Our segment comprises two primary segments, each with its respective sub-segments for further detailed analysis within specific national markets. Furthermore, our market coverage extends across geographic regions including North America, Europe, APAC, South America, and the Middle East and Africa, with comprehensive breakdowns to provide in-depth insights.
The market share growth by the global positioning system (GPS) will be significant during the forecast period. The market encompasses innovative applications of 3D mapping and 3D technology, driven by advancements in 5G and cloud computing. Key components include information creation, gathering, interpretation, mining, and visualization, adhering to information privacy rules.
The GPS segment was valued at USD 28.05 billion in 2017. Amazon Web Services (AWS) and AWS IoT Core facilitate cloud-based GIS, providing competitive advantages and customer satisfaction. Big data processing and high-performance computing capabilities enable change detection, climate change monitoring, and infrastructure development projects. Geospatial analytics plays a crucial role in various industries, including agriculture, healthcare, defense site management, disaster management, and infrastructure development, offering information-driven decisions and real-time insights. Additionally, geospatial analytics is essential for enterprise information systems, Environmental and life sciences industries monitoring, and infrastructure management, utilizing artificial intelligence, augmented reality, and distributed computing for efficient and accurate information processing and storage. These benefits are anticipated to propel the growth of the remote sensing technologies segment within the global market in the forecast period.
North America is estimated to contribute 39% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. North America was the largest region of the market in 2022 and will continue to be the largest segment of the market during the forecast period. The market encompasses various technologies and applications, including IoT (Internet of Things) and IoT Devices, Land cover classification, Licensing fees, Location intelligence, and Location-based information. It also involves Location-Tracking Solutions, Logistics, ML (Machine Learning), Metadata, Military, and Natural resource management.
Additionally, it includes Natural resources, Networking infrastructure, On-demand scalability, Product development, Public health, Public safety, Remote sensing, Resource optimization, Satellite imagery, Scalable processing, Smart city development, Smart city planning, Social media platforms, Software solutions, Software updates, Spatial data, Spatial modeling, Spatial understanding, Storage capacity, Sustainable development, Transportation, Vegetation health assessment, Visualization, Virtual Reality (VR), Water flow, and more. This market leverages ML algorithms, IoT devices, and satellite imagery for spatial information analysis, providing valuable insights for various sectors such as public health, public safety, military, logistics, and smart city planning.Thus, the above-mentioned factors will boost the growth of the regional market during the forecast period.
Companies are implementing various market trends and analysis strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
CartoDB Inc. - The company offers GIS, web mapping, and spatial data science tools for data analysis and visualization.
The market research and growth report also includes detailed analyses of the competitive landscape of the market and information about 15 market comapnies, including:
Innovation and investments in Research and Development are key for market growth and trends, especially concerning Small and Medium-sized Enterprises seeking scalable solutions. The emergence of Smart Transducer offers new avenues, but their integration requires robust Quantitative Research to validate their efficacy with scalability and strategic management planning.
The market is experiencing significant growth due to the integration of advanced technologies such as Augmented Reality, 3D Technology, and 5G. These technologies are revolutionizing the way we collect, process, and analyze Big Data related to the Earth's surface. Machine Learning and Artificial Intelligence are at the core of this transformation, enabling real-time analysis of Metadata from Remote Sensing information. Geospatial Analytics plays a crucial role in various sectors, including Smart City Development, Climate Change, Agriculture, Environmental Monitoring, Disaster Management, and Public Safety. In Agriculture, it helps optimize crop yields by analyzing soil conditions and weather patterns. In Disaster Management, it aids in predicting and responding to natural disasters. In Public Safety, it enhances location intelligence for emergency services. Moreover, Cloud computing facilitates the storage and processing of vast amounts of information, making Geospatial Analytics accessible to a wider audience. IoT sensors provide real-time information, further enhancing the capabilities of Geospatial Analytics. Software solutions and Enterprise Information Systems are essential tools for implementing Geospatial Analytics in various industries, contributing to the growth of this market.
The increasing adoption of geospatial data analytics in healthcare and insurance sectors is notably driving market growth. The Geospatial Analytics Market encompasses innovative applications of 3D Mapping and 3D Technology in various industries, including Agriculture and Healthcare. With the advent of 5G and Cloud computing, Geospatial Industry solutions have gained significant traction. Amazon Web Services (AWS) and AWS IoT Core facilitate Information gathering, Information processing, and Data storage for these advanced systems. Geospatial analytics leverages Artificial Intelligence, Big Data, and Change detection to provide valuable insights from Earth's surface data.
This information is essential for Infrastructure development projects, Defense Site Management, Disaster management, and Climate Change monitoring. High-performance computing capabilities enable Data interpretation, Data mining, and Data visualization for Data-driven decisions. Moreover, Geospatial analytics plays a crucial role in Healthcare, enabling personalized care through the exploration of a person's location information and exposure to reported chemicals. In Agriculture, it aids in optimizing crop yields and resource management. Data privacy rules ensure secure Information processing and Data storage. Geospatial analytics also offers a Competitive advantage in Enterprise information systems, enabling Decision-making through Image preprocessing and Data visualization. Additionally, it supports Environmental monitoring and Drainage systems management. Overall, Geospatial analytics is a game-changer in various sectors, offering Customer satisfaction through innovative applications. Hence, such factors will boost the growth of the market during the forecast period.
The emergence of smart cities is an emerging trend in market growth. The market is experiencing significant advancements, driven by the integration of cutting-edge technologies such as 3D Mapping and 3D Technology, 5G, Artificial Intelligence (AI), and Augmented Reality (AR). Real-time data collection, facilitated by GPS/GIS and mobile capabilities, is revolutionizing the industry, enabling highly detailed, specific, and updated features. Cloud computing, through platforms like Amazon Web Services (AWS), is essential for data storage, processing, and interpretation, providing a competitive advantage and enhancing customer satisfaction. Innovative applications include agriculture, infrastructure development projects, disaster management, defense site management, healthcare, and climate change monitoring.
Big Data, change detection, image preprocessing, and data mining are crucial components of geospatial analytics, ensuring information-driven decisions and effective decision-making. Compliance with information privacy rules is essential, while high-performance computing capabilities and distributed computing optimize information processing and visualization. Earth's surface monitoring, infrastructure development, and environmental monitoring are key areas of focus, with applications in various industries, including agriculture, healthcare, and defense. Geospatial analytics plays a pivotal role in ensuring efficient infrastructure development projects, such as drainage systems, and in disaster management, providing real-time information for effective response and recovery efforts. Thus, the rising development of smart cities will propel the growth of the global market during the forecast period.
Data privacy and security concerns are major challenges impeding market growth. In the Geospatial Industry, data privacy and security are paramount as organizations navigate the interconnected physical and virtual worlds through 3D Mapping and 5G technology. With the rise of IoT, Big Data creation and gathering have increased, necessitating a secure, cloud-based environment for information processing and storage using platforms like Amazon Web Services and AWS IoT Core. Geospatial Analytics offers Decision-making advantages through Artificial Intelligence, Image preprocessing, and information interpretation for various sectors, including Agriculture, Healthcare, and Infrastructure development projects.
Change detection and Climate Change monitoring are innovative applications that provide Customer satisfaction and Competitive advantage. Geospatial Analytics also plays a crucial role in Defense Site Management, Disaster management, and Environmental monitoring, requiring High-performance computing capabilities and Data visualization for information-driven decisions. Distributed computing and Drainage systems are other areas benefiting from Geospatial Analytics, ensuring Data privacy rules are adhered to throughout the Data mining and Data visualization process. Thus, these factors will adversely affect the growth of the global market during the forecast period.
Geospatial Analytics is a significant market that leverages advanced technologies such as 3D mapping, Machine Learning, and Big Data to derive valuable insights from geographic information. The 3D mapping technology offers a more immersive and comprehensive understanding of complex information sets, while Machine Learning algorithms enable the identification of patterns and trends in large datasets. Technology is used extensively in various sectors including Agriculture, Retail, Transportation, and Government. The 5G technology is expected to further boost the growth of Geospatial Analytics by enabling real-time information processing and analysis. Amazon Web Services (AWS) and Microsoft Azure offer cloud-based Geospatial Analytics services, making it more accessible and cost-effective for businesses.
Moreover, the Artificially Intelligent and Machine Learning capabilities of these services enable advanced analytics and predictive modeling. The Cloudera, Hortonworks, and MapR provide open-source Geospatial Analytics solutions, catering to the needs of organizations with specific requirements and budget constraints. The Decision-makers in organizations rely on Geospatial Analytics to gain a better understanding of their business operations and make informed decisions.
Market Scope |
|
Report Coverage |
Details |
Page number |
188 |
Base year |
2022 |
Historic period |
2017-2021 |
Forecast period |
2023-2027 |
Growth momentum & CAGR |
Accelerate at a CAGR of 17.72% |
Market growth 2023-2027 |
USD 102.97 billion |
Market structure |
Fragmented |
YoY growth 2022-2023(%) |
14.97 |
Regional analysis |
North America, Europe, APAC, Middle East and Africa, and South America |
Performing market contribution |
North America at 39% |
Key countries |
US, Canada, China, UK, and Germany |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
Alphabet Inc., Alteryx Inc., Autodesk Inc., Bentley Systems Inc., CartoDB Inc., Development Seed, Esri Global Inc., Fugro NV, General Electric Co., Geomap Co., Hexagon AB, International Business Machines Corp., L3Harris Technologies Inc., Maxar Technologies Inc., Pitney Bowes Inc., QlikTech international AB, SAP SE, TomTom NV, Topcon Positioning Systems Inc., and Trimble Inc. |
Market dynamics |
Parent market analysis, Market Forecasting, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for the forecast period. |
Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Historic Market Size
6 Five Forces Analysis
7 Market Segmentation by Technology
8 Market Segmentation by End-user
9 Customer Landscape
10 Geographic Landscape
11 Drivers, Challenges, and Trends
12 Vendor Landscape
13 Vendor Analysis
14 Appendix
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