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市場調查報告書
商品編碼
1831829
2025 年至 2033 年地理空間分析市場報告(按組件、類型、技術、企業規模、部署模式、垂直領域和地區)Geospatial Analytics Market Report by Component, Type, Technology, Enterprise Size, Deployment Mode, Vertical, and Region 2025-2033 |
2024年,全球地理空間分析市場規模達1,145億美元。展望未來, IMARC Group預計到2033年,該市場規模將達到3,254億美元,2025-2033年期間的複合年成長率(CAGR)為11.69%。災害管理和城市規劃需求的日益成長是推動市場發展的關鍵因素之一。
人工智慧的融合日益加深
能夠自動識別海量空間資料中模式和異常的人工智慧演算法的需求日益成長,這正在擴大市場規模。此外,這些演算法還能最佳化物流路線、預測城市發展、改善災害應變等,進而刺激市場發展。此外,這些演算法還能比傳統方法更快提供可操作的洞察。例如,2024年7月,雲端原生空間分析平台CARTO宣布推出CARTO AI Agents,將地理空間技術與人工智慧結合。
即時數據分析需求日益成長
物聯網設備的普及和雲端運算的進步正在推動市場發展。這一趨勢使得空間資料的即時處理和視覺化成為可能,這對於緊急應變、交通管理和智慧城市規劃等應用至關重要。例如,Esri 的 ArcGIS Velocity 可以處理來自感測器、社交媒體和其他來源的即時資料流,從而實現動態地圖繪製和分析。
引入基於雲端的解決方案
基於雲端的地理空間分析解決方案因其成本效益、可擴展性和可訪問性而廣受歡迎。這些平台使用戶無需龐大的本地基礎設施即可管理、儲存和分析大型資料集。 Esri 的 ArcGIS Online 和 AWS 的 Amazon Location Service 等產品提供了強大的地理空間資料處理工具,從而使組織能夠無縫協作並共享洞察。
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?