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市場調查報告書
商品編碼
1735671

全球雲端 GIS 市場按類型、應用程式、部署模型、區域覆蓋和預測分類：

Global Cloud GIS Market By Type (SaaS, PaaS, IaaS), By Application (Government, Enterprises, Education, Healthcare, Retail), By Deployment Model (Public, Private, Hybrid), By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

雲端GIS市場規模及預測

2024 年雲端 GIS 市場規模價值為 8.9081 億美元，預計到 2032 年將達到 22.9838 億美元，複合年成長率為 14.5%。

  • 雲端GIS（地理資訊系統）是指透過雲端運算技術部署GIS功能，允許透過網際網路儲存、管理、處理和分析空間數據，比傳統GIS解決方案具有更大的靈活性、擴充性和可存取性。
  • 利用 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud Platform 等雲端基礎架構服務來託管您的 GIS 應用程式和資料。根據使用者需求動態分配運算資源，以最佳化效能和成本。
  • 只要有網路連接，隨時隨地存取您的 GIS 工具和資料。支援各種設備，包括桌上型電腦、筆記型電腦、平板電腦和智慧型手機，提升使用者的行動性和靈活性。
  • 根據資料量和運算要求自動擴展資源，以有效處理各種工作負載，即使在大型資料集和密集處理任務的情況下也能保持高效能水準。
  • 使用者只需為他們消耗的資源付費，從而減少前期投資 - 無需投資和維護實體伺服器或內部 GIS 軟體。
  • 促進多用戶和團隊之間地圖、空間數據和分析的即時共用與協作。支援多用戶同時訪問，促進團隊合作並保持數據一致性。
  • 提供 API 和 Web 服務，實現與其他雲端基礎應用程式和資料來源的無縫整合。確保與各種 GIS 格式和系統的互通性，增強資料交換和實用性。
  • 透過詳細的空間分析支援城市規劃、分區和基礎設施發展。促進對環境變化、自然資源管理和保護工作的追蹤。增強緊急應變計畫、災害事件即時追蹤和資源配置。透過空間分析最佳化路線規劃、車隊管理和物流業務。
  • 雲端 GIS 將傳統的 GIS 工作流程轉變為更靈活、更經濟、更具協作性的過程，大大擴展了空間資料分析和決策的範圍和影響。

全球雲端GIS市場動態

影響全球雲端 GIS 市場的關鍵市場動態是：

關鍵市場促進因素

  • 雲端雲端處理的普及率不斷提升：雲端處理透過提供可根據需求調整的可擴展資源，使管理和處理大型 GIS 資料集變得更加容易。雲端服務的計量收費模式減少了前期投資，使中小企業更容易使用 GIS。
  • 空間資料整合需求日益成長：整合和分析大量空間和非空間資料的能力有助於組織做出更明智的決策。物聯網 (IoT) 設備的普及產生了大量的空間數據，可以使用雲端 GIS 進行處理和分析。
  • GIS技術的進步：使用者友善的介面和視覺化工具讓非專業人士也能更輕鬆地使用GIS應用程式。雲端平台上提供的進階分析工具和機器學習演算法增強了傳統GIS的功能。
  • 即時資料需求日益成長：災害管理、交通運輸和物流等行業需要即時資料處理和分析，而雲端 GIS 恰好滿足了這些需求。對最新地圖和空間資料的需求正在推動雲端基礎的GIS 解決方案的採用。
  • 協作與共用需求：能夠隨時隨地存取和協作處理 GIS 數據，從而提高生產力並支援遠端工作環境。雲端 GIS 支援多用戶同時訪問，從而促進更好的團隊合作和資料共用。
  • 都市化與智慧城市計畫：雲端 GIS 對於智慧城市舉措、城市規劃和基礎設施發展至關重要，它提供了高效資源管理所需的工具。它提供全面的空間分析功能，以支援永續計劃的規劃和監測。
  • 政府和政策支援：政府對地理空間技術和智慧基礎設施計劃的投資不斷增加，推動了雲端 GIS 的普及。遵守環境監測和土地利用規劃的監管要求需要使用先進的 GIS 工具。
  • 產業特定應用：精密農業和土地管理受益於雲端 GIS 的高階分析和資料整合功能。流行病學和公共衛生監測依靠空間數據分析來追蹤疾病爆發並分配資源。

主要挑戰

  • 資料安全和隱私：GIS 資料通常包含機密和專有資訊，這引發了人們對資料外洩和未授權存取的擔憂。確保遵守資料保護條例（例如 GDPR、CCPA）非常複雜，需要強而有力的安全措施。
  • 初始設定成本高：從傳統 GIS 遷移到雲端基礎的系統可能涉及資料遷移、整合、員工培訓等方面的大量成本。雖然從長遠來看，雲端服務具有成本效益，但加值服務費用可能很高，尤其是對於中小型企業而言。
  • 資料整合與互通性：將來自不同來源和格式的資料整合到雲端 GIS 中可能頗具挑戰性，需要專門的工具和專業知識。確保不同 GIS 平台和工具之間的相容性可能是一個問題，從而阻礙無縫資料交換和分析。
  • 效能和延遲問題：雲端 GIS 解決方案高度依賴網路連線。連接不良或不穩定可能會導致延遲問題並影響效能。在雲端處理大量空間資料可能會導致效能瓶頸。
  • 客製化程度有限：雲端 GIS 平台通常提供標準化解決方案，可能無法完全滿足所有使用者的特定需求，從而限制了客製化選項。依賴單一雲端服務供應商會導致供應商鎖定，難以更換供應商或採用混合雲策略。
  • 資料所有權和控制權：使用第三方雲端服務時，企業可能會擔心失去對資料的控制權。在雲端環境中，遵守要求資料儲存在特定地理邊界內的資料主權法律可能會很困難。
  • 技術複雜性：實施和管理雲端 GIS 解決方案需要專業技能，並非所有組織都具備這些技能。員工需要持續培訓和提陞技能，才能跟上不斷發展的雲端 GIS 技術和工具。

主要趨勢：

  • 人工智慧 (AI) 與機器學習 (ML) 的融合：AI 和 ML 正日益融入雲端 GIS 平台，以增強資料分析、預測建模和空間資料處理自動化。這些技術能夠提供更深入的洞察，並支援更高級的地理空間分析，例如模式識別和異常檢測。
  • 即時數據處理：物聯網設備和感測器的激增，產生即時空間數據，推動了對能夠即時處理和分析這些數據的雲端 GIS 解決方案的需求。即時資料整合支援建立動態地圖，並在收到新資料時自動更新。
  • 3D GIS 和視覺化技術的應用：使用 3D GIS 更好地視覺化和分析空間資料正變得越來越流行，尤其是在城市規劃、建設和環境監測領域。與 VR 和 AR 技術的結合，可以提供沉浸式體驗和更直覺的空間資料互動方式。
  • 雲端 GIS 正在跨產業擴展：雲端 GIS 正在從傳統用途擴展到醫療保健、保險、零售和金融等新興產業，這些產業的空間分析價值日益凸顯。客製化的 GIS 解決方案正在不斷開發，以滿足特定行業的需求，提供更具針對性和有效性的工具。
  • 日益關注資料安全和隱私：隨著對資料安全和隱私的擔憂日益加深，雲端 GIS 供應商正在實施更強大的安全通訊協定、加密和合規措施。確保遵守各種區域和國際資料保護條例正成為雲端 GIS 平台的首要任務。
  • 開放數據和群眾外包的成長：政​​府和組織擴大向公眾開放空間數據，雲端 GIS 平台可以利用這些數據提供更全面的資料集。來自使用者和社群的群眾外包空間資料正成為豐富 GIS 資料集和提高其準確性的寶貴資源。
  • 使用者友善介面和GIS的普及：更直覺、更用戶友善的介面的開發，使GIS工具能夠被更廣泛的受眾（包括非專業人士）所使用。這些平台使技術水平較低的用戶也能創建和部署GIS應用程式，從而促進GIS的廣泛應用。

目錄

第1章 全球雲端 GIS 市場採用情況

  • 市場定義
  • 市場區隔
  • 調查時間表
  • 先決條件
  • 限制

第 2 章 已驗證的市場研究調查方法

  • 資料探勘
  • 數據三角測量
  • 自下而上的方法
  • 自上而下的方法
  • 調查流程
  • 業界專家的重要見解
  • 資料來源

第3章執行摘要

  • 市場概覽
  • 生態測繪
  • 絕對的商機
  • 市場吸引力
  • 全球雲端 GIS 市場區域分析
  • 全球雲端 GIS 市場類型
  • 全球雲端 GIS 市場（按應用）
  • 未來市場機會
  • 全球市場區隔
  • 產品生命線

第4章 全球雲端 GIS 市場展望

  • 全球雲端 GIS 的發展
  • 驅動程式
    • 促進要素1
    • 促進要素2
  • 限制因素
    • 約束因素 1
    • 限制因素2
  • 機會
    • 機會1
    • 機會2
  • 波特五力模型
  • 價值鏈分析
  • 定價分析
  • 宏觀經濟分析

第5章 全球雲端 GIS 市場（按類型）

  • 概述
  • SaaS
  • PaaS
  • IaaS

第6章 全球雲端 GIS 市場（按應用）

  • 概述
  • 政府
  • 公司
  • 教育機構
  • 衛生保健
  • 零售

第7章 雲端 GIS 市場（依部署模式）

  • 概述
  • 公共雲端
  • 私有雲端
  • 混合雲端

7. 全球雲端 GIS 市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • 其他中東和非洲地區

8. 全球雲端 GIS 市場的競爭格局

  • 概述
  • 各公司市場排名
  • 主要進展
  • 公司地理分佈
  • 公司在各行業的足跡
  • ACE矩陣

第9章 公司簡介

  • ESRI
  • Google
  • Zondy Cyber Group
  • GeoStar
  • Hexagon
  • Geospatial
  • CartoDB
  • GIS Cloud
  • Mapbox
  • HERE Technologies
  • Bentley
  • Baidu
  • Telenav
  • SAP SE
  • Harris Corporation
  • Orbital Insights
  • RMSI Pvt. Ltd.
  • Chia Geo-Engineering Corp.

第10章 已驗證的市場情報

  • 關於已驗證的市場情報
  • 動態資料視覺化
簡介目錄
Product Code: 34406

Cloud GIS Market Size And Forecast

Cloud GIS Market size was valued at USD 890.81 Million in 2024 and is projected to reach USD 2298.38 Million by 2032, growing at a CAGR of 14.5% from .

  • Cloud GIS (Geographic Information System) refers to the deployment of GIS capabilities through cloud computing technology. This enables the storage, management, processing, and analysis of spatial data via the Internet, offering enhanced flexibility, scalability, and accessibility compared to traditional GIS solutions.
  • Utilizes cloud infrastructure services like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform to host GIS applications and data. Dynamically allocates computational resources based on user needs, optimizing performance and cost.
  • Provides access to GIS tools and data from any location with an internet connection. Supports a wide range of devices including desktops, laptops, tablets, and smartphones, enhancing mobility and flexibility for users.
  • Automatically scales resources up or down based on the volume of data and computational requirements, ensuring efficient handling of varying workloads. Maintains high-performance levels even with large datasets and intensive processing tasks.
  • Users pay only for the resources they consume, reducing upfront capital expenditures. Eliminates the need for investing in and maintaining physical servers and on-premises GIS software.
  • Facilitates real-time sharing and collaboration on maps, spatial data, and analyses among multiple users and teams. Supports concurrent access by multiple users, promoting teamwork and data consistency.
  • Offers APIs and web services for seamless integration with other cloud-based applications and data sources. Ensures interoperability with various GIS formats and systems, enhancing data exchange and utility.
  • Supports city planning, zoning, and infrastructure development through detailed spatial analysis. Facilitates tracking of environmental changes, natural resources management, and conservation efforts. Enhances emergency response planning, real-time tracking of disaster events, and resource allocation. Optimizes route planning, fleet management, and logistics operations through spatial analysis.
  • Cloud GIS transforms traditional GIS workflows into more agile, cost-effective, and collaborative processes, significantly expanding the scope and impact of spatial data analysis and decision-making.

Global Cloud GIS Market Dynamics

The key market dynamics that are shaping the global cloud GIS market include:

Key Market Drivers:

  • Increased Adoption of Cloud Computing: Cloud computing provides scalable resources that can be adjusted based on demand, making it easier for organizations to manage and process large GIS datasets. The pay-as-you-go pricing models of cloud services reduce the need for significant upfront investments in hardware and software, making GIS more accessible to small and medium-sized enterprises.
  • Growing Need for Spatial Data Integration: The ability to integrate and analyze large volumes of spatial and non-spatial data helps organizations make more informed decisions. The proliferation of Internet of Things (IoT) devices generates massive amounts of spatial data that can be processed and analyzed using Cloud GIS.
  • Advancements in GIS Technology: User-friendly interfaces and visualization tools make it easier for non-experts to use GIS applications. Advanced analytical tools and machine learning algorithms available in cloud platforms enhance the capabilities of traditional GIS.
  • Increased Demand for Real-Time Data: Industries like disaster management, transportation, and logistics require real-time data processing and analysis, which is facilitated by Cloud GIS. The need for up-to-date maps and spatial data drives the adoption of cloud-based GIS solutions.
  • Collaboration and Sharing Needs: The ability to access GIS data and collaborate from anywhere enhances productivity and supports remote work environments. Cloud GIS supports simultaneous access by multiple users, facilitating better teamwork and data sharing.
  • Urbanization and Smart Cities Initiatives: Cloud GIS is crucial for smart city initiatives, urban planning, and infrastructure development, providing the tools needed for efficient resource management. Supports planning and monitoring of sustainable development projects by providing comprehensive spatial analysis capabilities.
  • Government and Policy Support: Increased government investment in geospatial technologies and smart infrastructure projects drives the adoption of Cloud GIS. Compliance with regulatory requirements for environmental monitoring and land use planning necessitates the use of advanced GIS tools.
  • Industry-Specific Applications: Precision farming and land management benefit from the advanced analytics and data integration capabilities of Cloud GIS. Epidemiology and public health monitoring rely on spatial data analysis for tracking disease outbreaks and resource allocation.

Key Challenge:

  • Data Security and Privacy: GIS data often includes sensitive and proprietary information, raising concerns about data breaches and unauthorized access. Ensuring compliance with data protection regulations (e.g., GDPR, CCPA) can be complex and requires robust security measures.
  • High Initial Setup Costs: Transitioning from traditional GIS to cloud-based systems can involve significant costs in terms of data migration, integration, and staff training. While cloud services can be cost-effective in the long run, the subscription fees for premium services can be high, especially for small and medium-sized enterprises.
  • Data Integration and Interoperability: Integrating data from various sources and formats into a cloud GIS can be challenging and may require specialized tools and expertise. Ensuring compatibility between different GIS platforms and tools can be problematic, hindering seamless data exchange and analysis.
  • Performance and Latency Issues: Cloud GIS solutions are highly dependent on internet connectivity. Poor or unstable connections can lead to latency issues and affect performance. Handling and processing large volumes of spatial data in the cloud can sometimes lead to performance bottlenecks.
  • Limited Customization: Cloud GIS platforms often provide standardized solutions that may not fully meet the specific needs of all users, limiting customization options. Dependence on a single cloud service provider can lead to vendor lock-in, making it difficult to switch providers or adopt a hybrid cloud strategy.
  • Data Ownership and Control: When using third-party cloud services, organizations may have concerns about losing control over their data. Compliance with data sovereignty laws, which require data to be stored within certain geographic boundaries, can be challenging in a cloud environment.
  • Technical Complexity: Implementing and managing Cloud GIS solutions requires specialized skills that may not be readily available within all organizations. Continuous training and upskilling of staff are necessary to keep up with evolving cloud GIS technologies and tools.

Key Trends:

  • Integration of Artificial Intelligence (AI) and Machine Learning (ML): AI and ML are being increasingly integrated into Cloud GIS platforms to enhance data analysis, predictive modeling, and automation of spatial data processing. These technologies provide deeper insights and enable more sophisticated geospatial analysis, such as pattern recognition and anomaly detection.
  • Real-Time Data Processing: The proliferation of IoT devices and sensors generating real-time spatial data is driving the demand for Cloud GIS solutions capable of processing and analyzing this data in real-time. Real-time data integration allows for the creation of dynamic maps that update automatically as new data is received.
  • Adoption of 3D GIS and Visualization: The use of 3D GIS for better visualization and analysis of spatial data is becoming more prevalent, particularly in urban planning, construction, and environmental monitoring. Integration with VR and AR technologies provides immersive experiences and more intuitive ways to interact with spatial data.
  • Expansion of Cloud GIS Across Industries: Cloud GIS is expanding beyond traditional uses into new industries such as healthcare, insurance, retail, and finance, where spatial analysis is becoming increasingly valuable. Tailored GIS solutions are being developed to meet specific industry needs, providing more targeted and effective tools.
  • Increased Focus on Data Security and Privacy: As concerns about data security and privacy grow, Cloud GIS providers are implementing more robust security protocols, encryption, and compliance measures. Ensuring compliance with various regional and international data protection regulations is becoming a priority for Cloud GIS platforms.
  • Growth of Open Data and Crowdsourcing: Governments and organizations are increasingly making spatial data publicly available, which can be leveraged by Cloud GIS platforms to provide more comprehensive datasets. Crowdsourcing spatial data from users and communities is becoming a valuable resource for enriching GIS datasets and improving accuracy.
  • User-Friendly Interfaces and Democratization of GIS: The development of more intuitive and user-friendly interfaces is making GIS tools accessible to a broader audience, including non-specialists. These platforms are enabling users with limited technical skills to create and deploy GIS applications, promoting wider adoption.

Global Cloud GIS Market Regional Analysis

Here is a more detailed regional analysis of the global cloud GIS market:

North America

  • North America is significantly dominating the cloud GIS market and is expected to continue its growth throughout the forecast period, owing to several variables.
  • Extensive and reliable high-speed internet infrastructure supports the efficient use of cloud-based GIS solutions. Presence of numerous advanced data centers and cloud service providers, such as AWS, Microsoft Azure, and Google Cloud, offering robust cloud services.
  • Home to leading GIS companies like Esri, which provide advanced cloud GIS solutions. A thriving ecosystem of innovative startups and technology companies contributing to advancements in GIS technologies.
  • High adoption rates of cloud computing across various industries, enabling the integration of GIS applications into cloud environments. A mature cloud computing ecosystem that supports the deployment and scalability of cloud GIS solutions.
  • Strong government support and investment in geospatial technologies for urban planning, infrastructure development, environmental monitoring, and national security. Extensive use of GIS technology in the defense and intelligence sectors for strategic planning, surveillance, and operations.
  • Broad application of cloud GIS across industries such as agriculture, healthcare, transportation, real estate, and retail, driving demand and innovation. Development of industry-specific GIS solutions to meet unique requirements, fostering wider adoption.
  • High levels of investment in R&D lead to continuous innovation and improvements in GIS technology and applications. Collaboration between industry and academic institutions promoting advancements in geospatial technology and its applications.
  • Strong economic conditions provide the financial resources needed for organizations to invest in advanced GIS solutions. Businesses in North America are more likely to invest in new technologies to gain a competitive edge.
  • Availability of a highly skilled workforce with expertise in GIS, cloud computing, and data analytics. Extensive educational programs and professional training in geospatial sciences and technologies.

Asia Pacific

  • Asia Pacific is the fastest-growing region in the market. Rapid economic growth in countries like China, India, and Southeast Asian nations is leading to increased investment in technology and infrastructure. Fast-paced urbanization drives the need for advanced GIS solutions for urban planning, infrastructure development, and smart city initiatives.
  • Governments in the region are investing heavily in smart city projects, which rely on GIS for efficient planning and management. National policies promoting digital transformation and smart governance include significant components for geospatial technologies.
  • Rapid adoption of cutting-edge technologies such as IoT, AI, and big data analytics that integrate seamlessly with Cloud GIS. The rollout of 5G networks enhances the capabilities of Cloud GIS by supporting high-speed data transmission and real-time applications.
  • Large-scale infrastructure projects, including transportation, utilities, and urban development, require sophisticated GIS solutions for planning and management. Increased focus on disaster management and mitigation necessitates the use of advanced GIS for real-time monitoring and response.
  • Increased foreign direct investment (FDI) in the technology sector boosts the development and adoption of GIS technologies. A growing number of innovative startups in the region are developing specialized GIS solutions tailored to local needs.
  • Enhanced educational programs and training in geospatial sciences and cloud technologies are creating a skilled workforce. Increased awareness of the benefits of GIS among governments, businesses, and the public drives demand for Cloud GIS solutions.
  • The large and diverse population base creates substantial demand for GIS applications in various sectors, including healthcare, agriculture, and retail. High potential for market growth due to the relatively lower current penetration of GIS technologies compared to more mature markets.
  • Accelerated adoption of cloud computing across industries provides a conducive environment for the growth of Cloud GIS. Collaboration between technology providers, research institutions, and government agencies fosters innovation and implementation of Cloud GIS solutions.

Global Cloud GIS Market Segmentation Analysis

The Global Cloud GIS Market is segmented based on Type, Application, Deployment Model, And Geography.

Cloud GIS Market, By Type

  • SaaS
  • PaaS
  • IaaS

Based on Type, the market is bifurcated into SaaS, PaaS, IaaS. SaaS dominates the Cloud GIS market due to its ease of use, accessibility from any device, and elimination of the need for software installation and maintenance. This model's flexibility and cost-efficiency make it highly appealing for businesses seeking scalable and readily available GIS solutions.

Cloud GIS Market, By Application

  • Government
  • Enterprises
  • Education
  • Healthcare
  • Retail

Based on Application, the market is bifurcated into Government, Enterprises, Education, Healthcare, Retail. The government sector dominates the Cloud GIS market due to its extensive use in urban planning, land management, environmental monitoring, transportation, and logistics. Cloud GIS solutions provide governments with the tools needed for efficient operation management, resource allocation, and policy implementation, driving widespread adoption.

Cloud GIS Market, By Deployment Model

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Based on the Deployment Model, the market is bifurcated into Public, Private, and Hybrid. Public cloud deployment dominates the Cloud GIS market due to its cost-effectiveness, scalability, and accessibility. Organizations prefer public cloud for its ability to provide shared computing resources over the internet without upfront investments, making it ideal for leveraging GIS capabilities flexibly and economically across various sectors.

Cloud GIS Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world

Based on Geography, the Global Cloud GIS Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America dominates the Cloud GIS market due to its robust adoption across sectors like business, government, education, and energy/utilities. The region benefits from advanced technological infrastructure, high demand for geospatial data analytics, and significant investments in cloud-based solutions, driving rapid market growth and innovation.

Key Players

The "Global Cloud GIS Market" study report will provide valuable insight emphasizing the global market. The major players in the market are Esri, Google, Microsoft, Amazon Web Services (AWS), IBM, Oracle, Carto, Here Technologies, OpenStreetMap, Pitney Bowes, TomTom, Hexagon, GeoIQ, and GIS Cloud, Zondy Cyber Group, GeoStar, Hexagon, Geospatial, CartoDB, Mapbox, HERE Technologies, Bentley, Baidu, Telenav, SAP SE, Harris Corporation, Orbital Insights, RMSI Pvt. Ltd., and Chia Geo-Engineering Corp.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

  • In 2019, LuxCarta announced a launch of its innovative product series called BrightEarth, featuring global geospatial products powered by artificial intelligence algorithms. These offerings are developed and delivered entirely in the cloud.
  • In 2020, Woolpert announced acquisition of Data Cloud Solutions (DCS), a renowned provider of system integration, cloud solutions, and consulting services. DCS excels in collecting, reviewing, and managing extensive datasets, specializing particularly in GIS data solutions.

TABLE OF CONTENTS

1 INTRODUCTION OF THE GLOBAL CLOUD GIS MARKET

  • 1.1 Market Definition
  • 1.2 Market Segmentation
  • 1.3 Research Timelines
  • 1.4 Assumptions
  • 1.5 Limitations

2 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 2.1 Data Mining
  • 2.2 Data Triangulation
  • 2.3 Bottom-Up Approach
  • 2.4 Top-Down Approach
  • 2.5 Research Flow
  • 2.6 Key Insights from Industry Experts
  • 2.7 Data Sources

3 EXECUTIVE SUMMARY

  • 3.1 Market Overview
  • 3.2 Ecology Mapping
  • 3.3 Absolute Market Opportunity
  • 3.4 Market Attractiveness
  • 3.5 Global Cloud GIS Market Geographical Analysis (CAGR %)
  • 3.6 Global Cloud GIS Market, By Type (USD Million)
  • 3.7 Global Cloud GIS Market, By Application(USD Million)
  • 3.8 Future Market Opportunities
  • 3.9 Global Market Split
  • 3.10 Product Life Line

4 GLOBAL CLOUD GIS MARKET OUTLOOK

  • 4.1 Global Cloud GIS Evolution
  • 4.2 Drivers
    • 4.2.1 Driver1
    • 4.2.2 Driver 2
  • 4.3 Restraints
    • 4.3.1 Restraint1
    • 4.3.2 Restraint 2
  • 4.4 Opportunities
    • 4.4.1 Opportunity1
    • 4.4.2 Opportunity 2
  • 4.5 Porters Five Force Model
  • 4.6 Value Chain Analysis
  • 4.7 Pricing Analysis
  • 4.8 Macroeconomic Analysis

5 GLOBAL CLOUD GIS MARKETS BY TYPE

  • 5.1 Overview
  • 5.2 SaaS
  • 5.3 PaaS
  • 5.4 IaaS

6 GLOBAL CLOUD GIS MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Government
  • 6.3 Enterprises
  • 6.4 Education
  • 6.5 Healthcare
  • 6.6 Retail

7 Cloud GIS Market, By Deployment Model

  • 6.1 Overview
  • 6.2 Public Cloud
  • 6.3 Private Cloud
  • 6.4 Hybrid Cloud

7 GLOBAL CLOUD GIS MARKETS BY GEOGRAPHY

  • 7.1 Overview
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
    • 7.2.3 Mexico
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 U.K.
    • 7.3.3 France
    • 7.3.4 Italy
    • 7.3.5 Spain
    • 7.3.6 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Rest of Asia Pacific
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Argentina
    • 7.5.3 Rest of Latin America
  • 7.6 Middle East and Africa
    • 7.6.1 UAE
    • 7.6.2 Saudi Arabia
    • 7.6.3 South Africa
    • 7.6.4 Rest of Middle-East and Africa

8 GLOBAL CLOUD GIS MARKET COMPETITIVE LANDSCAPE

  • 8.1 Overview
  • 8.2 Company Market Ranking
  • 8.3 Key Developments
  • 8.4 Company Regional Footprint
  • 8.5 Company Industry Footprint
  • 8.6 ACE Matrix

9 COMPANY PROFILES

  • 9.1 ESRI
    • 9.1.1 Company Overview
    • 9.1.2 Company Insights
    • 9.1.3 Product Benchmarking
    • 9.1.4 Key Development
    • 9.1.5 Winning Imperatives
    • 9.1.6 Current Focus & Strategies
    • 9.1.7 Threat from Competition
    • 9.1.8 SWOT Analysis
  • 9.2 Google
    • 9.2.1 Company Overview
    • 9.2.2 Company Insights
    • 9.2.3 Product Benchmarking
    • 9.2.4 Key Development
    • 9.2.5 Winning Imperatives
    • 9.2.6 Current Focus & Strategies
    • 9.2.7 Threat from Competition
    • 9.2.8 SWOT Analysis
  • 9.3 Zondy Cyber Group
    • 9.3.1 Company Overview
    • 9.3.2 Company Insights
    • 9.3.3 Product Benchmarking
    • 9.3.4 Key Development
    • 9.3.5 Winning Imperatives
    • 9.3.6 Current Focus & Strategies
    • 9.3.7 Threat from Competition
    • 9.3.8 SWOT Analysis
  • 9.4 GeoStar
    • 9.4.1 Company Overview
    • 9.4.2 Company Insights
    • 9.4.3 Product Benchmarking
    • 9.4.4 Key Development
    • 9.4.5 Winning Imperatives
    • 9.4.6 Current Focus & Strategies
    • 9.4.7 Threat from Competition
    • 9.4.8 SWOT Analysis
  • 9.5 Hexagon
    • 9.5.1 Company Overview
    • 9.5.2 Company Insights
    • 9.5.3 Product Benchmarking
    • 9.5.4 Key Development
    • 9.5.5 Winning Imperatives
    • 9.5.6 Current Focus & Strategies
    • 9.5.7 Threat from Competition
    • 9.5.8 SWOT Analysis
  • 9.6 Geospatial
    • 9.6.1 Company Overview
    • 9.6.2 Company Insights
    • 9.6.3 Product Benchmarking
    • 9.6.4 Key Development
    • 9.6.5 Winning Imperatives
    • 9.6.6 Current Focus & Strategies
    • 9.6.7 Threat from Competition
    • 9.6.8 SWOT Analysis
  • 9.7 CartoDB
    • 9.7.1 Company Overview
    • 9.7.2 Company Insights
    • 9.7.3 Product Benchmarking
    • 9.7.4 Key Development
    • 9.7.5 Winning Imperatives
    • 9.7.6 Current Focus & Strategies
    • 9.7.7 Threat from Competition
    • 9.7.8 SWOT Analysis
  • 9.8 GIS Cloud
    • 9.8.1 Company Overview
    • 9.8.2 Company Insights
    • 9.8.3 Product Benchmarking
    • 9.8.4 Key Development
    • 9.8.5 Winning Imperatives
    • 9.8.6 Current Focus & Strategies
    • 9.8.7 Threat from Competition
    • 9.8.8 SWOT Analysis
  • 9.9 Mapbox
    • 9.9.1 Company Overview
    • 9.9.2 Company Insights
    • 9.9.3 Product Benchmarking
    • 9.9.4 Key Development
    • 9.9.5 Winning Imperatives
    • 9.9.6 Current Focus & Strategies
    • 9.9.7 Threat from Competition
    • 9.9.8 SWOT Analysis
  • 9.10 HERE Technologies
    • 9.10.1 Company Overview
    • 9.10.2 Company Insights
    • 9.10.3 Product Benchmarking
    • 9.10.4 Key Development
    • 9.10.5 Winning Imperatives
    • 9.10.6 Current Focus & Strategies
    • 9.10.7 Threat from Competition
    • 9.10.8 SWOT Analysis
  • 9.11 Bentley
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Product Benchmarking
    • 9.11.4 Key Development
    • 9.11.5 Winning Imperatives
    • 9.11.6 Current Focus & Strategies
    • 9.11.7 Threat from Competition
    • 9.11.8 SWOT Analysis
  • 9.12 Baidu
    • 9.12.1 Company Overview
    • 9.12.2 Company Insights
    • 9.12.3 Product Benchmarking
    • 9.12.4 Key Development
    • 9.12.5 Winning Imperatives
    • 9.12.6 Current Focus & Strategies
    • 9.12.7 Threat from Competition
    • 9.12.8 SWOT Analysis
  • 9.13 Telenav
    • 9.13.1 Company Overview
    • 9.13.2 Company Insights
    • 9.13.3 Product Benchmarking
    • 9.13.4 Key Development
    • 9.13.5 Winning Imperatives
    • 9.13.6 Current Focus & Strategies
    • 9.13.7 Threat from Competition
    • 9.13.8 SWOT Analysis
  • 9.14 SAP SE
    • 9.14.1 Company Overview
    • 9.14.2 Company Insights
    • 9.14.3 Product Benchmarking
    • 9.14.4 Key Development
    • 9.14.5 Winning Imperatives
    • 9.14.6 Current Focus & Strategies
    • 9.14.7 Threat from Competition
    • 9.14.8 SWOT Analysis
  • 9.15 Harris Corporation
    • 9.15.1 Company Overview
    • 9.15.2 Company Insights
    • 9.15.3 Product Benchmarking
    • 9.15.4 Key Development
    • 9.15.5 Winning Imperatives
    • 9.15.6 Current Focus & Strategies
    • 9.15.7 Threat from Competition
    • 9.15.8 SWOT Analysis
  • 9.16 Orbital Insights
    • 9.16.1 Company Overview
    • 9.16.2 Company Insights
    • 9.16.3 Product Benchmarking
    • 9.16.4 Key Development
    • 9.16.5 Winning Imperatives
    • 9.16.6 Current Focus & Strategies
    • 9.16.7 Threat from Competition
    • 9.16.8 SWOT Analysis
  • 9.17 RMSI Pvt. Ltd.
    • 9.17.1 Company Overview
    • 9.17.2 Company Insights
    • 9.17.3 Product Benchmarking
    • 9.17.4 Key Development
    • 9.17.5 Winning Imperatives
    • 9.17.6 Current Focus & Strategies
    • 9.17.7 Threat from Competition
    • 9.17.8 SWOT Analysis
  • 9.18 Chia Geo-Engineering Corp.
    • 9.18.1 Company Overview
    • 9.18.2 Company Insights
    • 9.18.3 Product Benchmarking
    • 9.18.4 Key Development
    • 9.18.5 Winning Imperatives
    • 9.18.6 Current Focus & Strategies
    • 9.18.7 Threat from Competition
    • 9.18.8 SWOT Analysis

10 VERIFIED MARKET INTELLIGENCE

  • 10.1 About Verified Market Intelligence
  • 10.2 Dynamic Data Visualizatio