세계의 지리공간 분석 시장 규모는 2024년에 1,145억 달러에 달했습니다. 향후 IMARC Group은 2033년에는 3,254억 달러에 달하며, 2025-2033년에 11.69%의 성장률(CAGR)을 보일 것으로 예측하고 있습니다. 방재 및 도시계획에 대한 요구의 증가는 시장을 강화하는 주요 요인의 하나입니다.
AI 통합 증가
방대한 공간 데이터에서 패턴과 이상 징후를 자동으로 식별할 수 있는 AI 알고리즘에 대한 수요가 증가하면서 시장이 확대되고 있습니다. 또한 물류 경로의 최적화, 도시 성장 예측, 재난 대응력 향상 등이 시장을 자극하고 있습니다. 또한 이러한 알고리즘은 기존 방식보다 더 빠르고 실용적인 인사이트를 제공합니다. 예를 들어 2024년 7월 클라우드 네이티브 공간 분석 플랫폼인 CARTO는 지형공간 기술과 AI를 결합한 CARTO AI Agent를 출시한다고 발표했습니다.
실시간 데이터 분석에 대한 니즈 증가
IoT 기기의 보급과 클라우드 컴퓨팅의 발전이 시장을 강화하고 있습니다. 이러한 추세는 공간 데이터의 즉각적인 처리와 시각화를 가능하게 하며, 긴급 대응, 교통 관리, 스마트 시티 계획 등의 용도에 필수적입니다. 예를 들어 Esri의 ArcGIS Velocity는 센서, 소셜미디어 및 기타 소스로부터의 실시간 데이터 스트림을 처리하여 동적 매핑 및 분석을 가능하게 합니다.
클라우드 기반 솔루션 도입
클라우드 기반의 지공간 분석 솔루션은 비용 효율성, 확장성, 접근성이 뛰어나 폭넓은 지지를 받고 있습니다. 이러한 플랫폼을 통해 사용자는 대규모 로컬 인프라 없이도 대규모 데이터세트를 관리, 저장, 분석할 수 있습니다. Esri의 ArcGIS Online이나 AWS의 Amazon Location Service와 같은 제품은 지역적 공간 데이터를 처리할 수 있는 강력한 툴을 제공하여 조직이 원활하게 협업하고 인사이트를 공유할 수 있도록 돕습니다.
The global geospatial analytics market size reached USD 114.5 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 325.4 Billion by 2033, exhibiting a growth rate (CAGR) of 11.69% during 2025-2033. The increasing need for disaster management and urban planning is one of the key factors bolstering the market.
Rising Integration of AI
The growing demand for AI algorithms that can automatically identify patterns and anomalies in vast amounts of spatial data is augmenting the market. Moreover, they optimize logistics routes, predict urban growth, improve disaster response, etc., which is stimulating the market. Besides this, these algorithms further provide actionable insights faster than traditional methods. For example, in July 2024, CARTO, the cloud-native spatial analysis platform, announced the launch of CARTO AI Agents, which combine geospatial technology with AI.
Growing Need for Real-time Data Analysis
The proliferation of IoT devices and advancements in cloud computing are bolstering the market. This trend allows for immediate processing and visualization of spatial data, which is critical for applications like emergency response, traffic management, and smart city planning. For instance, Esri's ArcGIS Velocity processes real-time data streams from sensors, social media, and other sources, enabling dynamic mapping and analysis.
Introduction of Cloud-based Solutions
Cloud-based geospatial analytics solutions are gaining extensive traction due to their cost-effectiveness, scalability, and accessibility. These platforms enable users to manage, store, and analyze large datasets without the need for extensive local infrastructure. Products like Esri's ArcGIS Online and AWS's Amazon Location Service offer robust tools for geospatial data handling, thereby allowing organizations to collaborate and share insights seamlessly.
Currently, solution exhibits a clear dominance in the market
The geospatial analytics solution offers robust tools for mapping. Consequently, it makes them indispensable for urban planning, environmental monitoring, disaster management, etc. For instance, the introduction of advanced geospatial software platforms like Esri's ArcGIS has revolutionized how organizations collect, visualize, and analyze spatial data.
Network and location analytics currently hold the majority of the total market share
Network and location analytics have seen significant advancements through innovative product launches that enhance their capabilities and applications. For instance, Esri's recent release of ArcGIS Indoors revolutionizes indoor mapping and analytics, allowing organizations to visualize, manage, and optimize indoor spaces, such as office buildings and airports, by integrating location data with floor plans.
GPS accounts for the largest market share
The integration of GPS technology in geospatial analytics enables professionals in fields, such as agriculture, construction, and environmental management to conduct precise field surveys and mapping tasks easily. For example, Trimble's introduction of the Trimble Catalyst, a subscription-based GPS receiver service, offers centimeter-level accuracy for geospatial data collection on mobile devices.
Large enterprises hold the majority of the global market share
The rising need among large enterprises for handling vast amounts of spatial data and providing deep insights is propelling the segment's growth. For example, IBM's launch of the IBM Environmental Intelligence Suite offers large enterprises a comprehensive set of AI-driven geospatial analytics tools.
Cloud-based currently exhibits a clear dominance in the market
The cloud-based platform facilitates real-time data access. Moreover, it empowers businesses and governments to harness the power of geospatial analytics with enhanced flexibility, reduced costs, the ability to scale operations dynamically, etc. For instance, the release of Google Cloud's BigQuery GIS provides a fully managed, serverless data warehouse solution that allows users to perform large-scale geospatial analytics seamlessly.
The defense and intelligence sector accounts for the majority of the total market share
The state-of-the-art geospatial analytics tools are critical for the defense and intelligence sector, enabling enhanced surveillance, improved strategic planning, and superior mission execution. One notable product is Palantir's Foundry for Defense, which integrates geospatial data with advanced analytics and AI to provide real-time insights for mission planning, threat assessment, and operational coordination. This is expanding the geospatial analytics market share across the segmentation.
North America exhibits a clear dominance in the market
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
The increasing adoption of spatial data across various industries is a significant growth-inducing factor in North America. Additionally, Canadian firms, including Ecopia, are using AI to extract detailed geospatial information from satellite imagery. According to the IMARC, the United States geospatial analytics market is projected to exhibit a growth rate (CAGR) of approximately 10.14% during 2024-2032. This, in turn, will continue to fuel the market over the forecasted period.
The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major market companies have also been provided. Some of the key players in the market include:
Key Questions Answered in This Report
1.What was the size of the global geospatial analytics market in 2024?
2.What is the expected growth rate of the global geospatial analytics market during 2025-2033?
3.What has been the impact of COVID-19 on the global geospatial analytics market?
4.What are the key factors driving the global geospatial analytics market?
5.What is the breakup of the global geospatial analytics market based on the component?
6.What is the breakup of the global geospatial analytics market based on the type?
7.What is the breakup of the global geospatial analytics market based on the technology?
8.What is the breakup of the global geospatial analytics market based on the enterprise size?
9.What is the breakup of the global geospatial analytics market based on the deployment mode?
10.What is the breakup of the global geospatial analytics market based on the vertical?
11.What are the key regions in the global geospatial analytics market?
12.Who are the key players/companies in the global geospatial analytics market?