全球云端 GIS 市场按类型、应用程式、部署模型、区域覆盖和预测划分：

云端GIS市场规模及预测

2024 年云端 GIS 市场规模价值为 8.9081 亿美元，预计到 2032 年将达到 22.9838 亿美元，复合年增长率为 14.5%。

• 云端GIS（地理资讯系统）是指透过云端运算技术部署GIS功能，允许透过网际网路储存、管理、处理和分析空间数据，比传统GIS解决方案具有更大的灵活性、扩充性和可存取性。
• 利用 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud Platform 等云端基础架构服务来託管您的 GIS 应用程式和资料。根据使用者需求动态分配运算资源，以优化效能和成本。
• 只要有网路连接，随时随地存取您的 GIS 工具和资料。支援各种设备，包括桌上型电脑、笔记型电脑、平板电脑和智慧型手机，提升使用者的行动性和灵活性。
• 根据资料量和运算要求自动扩展资源，以有效处理各种工作负载，即使在大型资料集和密集处理任务的情况下也能保持高效能水准。
• 使用者只需为他们消耗的资源付费，从而减少前期投资 - 无需投资和维护实体伺服器或内部 GIS 软体。
• 促进多用户和团队之间地图、空间数据和分析的即时共用与协作。支援多用户同时访问，促进团队合作并保持数据一致性。
• 提供 API 和 Web 服务，实现与其他云端基础应用程式和资料来源的无缝整合。确保与各种 GIS 格式和系统的互通性，增强资料交换和实用性。
• 透过详细的空间分析支援城市规划、分区和基础设施发展。促进对环境变化、自然资源管理和保护工作的追踪。增强紧急应变计画、灾害事件即时追踪和资源配置。透过空间分析优化路线规划、车队管理和物流业务。
• 云端 GIS 将传统的 GIS 工作流程转变为更灵活、更经济、更具协作性的过程，大大扩展了空间资料分析和决策的范围和影响。

全球云端GIS市场动态

影响全球云端 GIS 市场的关键市场动态是：

关键市场驱动因素

• 云端云端处理的普及率不断提升：云端处理透过提供可根据需求调整的可扩展资源，使管理和处理大型 GIS 资料集变得更加容易。云端服务的计量收费模式减少了前期投资，使中小企业更容易使用 GIS。
• 空间资料整合需求日益增长：整合和分析大量空间和非空间资料的能力有助于组织做出更明智的决策。物联网 (IoT) 设备的普及产生了大量的空间数据，可以使用云端 GIS 进行处理和分析。
• GIS技术的进步：使用者友善的介面和视觉化工具让非专业人士也能更轻鬆地使用GIS应用程式。云端平台上提供的进阶分析工具和机器学习演算法增强了传统GIS的功能。
• 即时资料需求日益增长：灾害管理、交通运输和物流等行业需要即时资料处理和分析，而云端 GIS 恰好满足了这些需求。对最新地图和空间资料的需求正在推动云端基础的GIS 解决方案的采用。
• 协作与共用需求：能够随时随地存取和协作处理 GIS 数据，从而提高生产力并支援远端工作环境。云端 GIS 支援多用户同时访问，从而促进更好的团队合作和资料共用。
• 都市化与智慧城市计画：云端 GIS 对于智慧城市倡议、城市规划和基础设施发展至关重要，它提供了高效资源管理所需的工具。它提供全面的空间分析功能，以支援永续计划的规划和监测。
• 政府和政策支援：政府对地理空间技术和智慧基础设施计划的投资不断增加，推动了云端 GIS 的普及。遵守环境监测和土地利用规划的监管要求需要使用先进的 GIS 工具。
• 产业特定应用：精密农业和土地管理受益于云端 GIS 的高阶分析和资料整合功能。流行病学和公共卫生监测依靠空间数据分析来追踪疾病爆发并分配资源。

主要挑战

• 资料安全和隐私：GIS 资料通常包含机密和专有信息，这引发了人们对资料外洩和未授权存取的担忧。确保遵守资料保护条例（例如 GDPR、CCPA）非常复杂，需要强而有力的安全措施。
• 初始设定成本高：从传统 GIS 迁移到云端基础的系统可能涉及资料迁移、整合、员工培训等方面的大量成本。虽然从长远来看，云端服务具有成本效益，但加值服务费用可能很高，尤其是对于中小型企业而言。
• 资料整合与互通性：将来自不同来源和格式的资料整合到云端 GIS 中可能颇具挑战性，需要专门的工具和专业知识。确保不同 GIS 平台和工具之间的相容性可能是一个问题，从而阻碍无缝资料交换和分析。
• 效能和延迟问题：云端 GIS 解决方案高度依赖网路连线。连接不良或不稳定可能会导致延迟问题并影响效能。在云端处理大量空间资料可能会导致效能瓶颈。
• 客製化程度有限：云端 GIS 平台通常提供标准化解决方案，可能无法完全满足所有使用者的特定需求，从而限制了客製化选项。依赖单一云端服务供应商会导致供应商锁定，难以更换供应商或采用混合云策略。
• 资料所有权和控制权：使用第三方云端服务时，企业可能会担心失去对资料的控制权。在云端环境中，遵守要求资料储存在特定地理边界内的资料主权法律可能会很困难。
• 技术复杂性：实施和管理云端 GIS 解决方案需要专业技能，并非所有组织都具备这些技能。员工需要持续培训和提升技能，才能跟上不断发展的云端 GIS 技术和工具。

主要趋势：

• 人工智慧 (AI) 与机器学习 (ML) 的融合：AI 和 ML 正日益融入云端 GIS 平台，以增强资料分析、预测建模和空间资料处理自动化。这些技术能够提供更深入的洞察，并支援更高级的地理空间分析，例如模式识别和异常检测。
• 即时数据处理：物联网设备和感测器的激增，产生即时空间数据，推动了对能够即时处理和分析这些数据的云端 GIS 解决方案的需求。即时资料整合支援建立动态地图，并在收到新资料时自动更新。
• 3D GIS 和视觉化技术的应用：使用 3D GIS 更好地视觉化和分析空间资料正变得越来越流行，尤其是在城市规划、建设和环境监测领域。与 VR 和 AR 技术的结合，可以提供沉浸式体验和更直觉的空间资料互动方式。
• 云端 GIS 正在跨产业扩展：云端 GIS 正在从传统用途扩展到医疗保健、保险、零售和金融等新兴产业，这些产业的空间分析价值日益凸显。客製化的 GIS 解决方案正在不断开发，以满足特定行业的需求，提供更具针对性和有效性的工具。
• 日益关注资料安全和隐私：随着对资料安全和隐私的担忧日益加深，云端 GIS 供应商正在实施更强大的安全通讯协定、加密和合规措施。确保遵守各种区域和国际资料保护条例正成为云端 GIS 平台的首要任务。
• 开放数据和众包的成长：政​​府和组织越来越多地向公众开放空间数据，云端 GIS 平台可以利用这些数据提供更全面的数据集。来自使用者和社群的众包空间资料正成为丰富 GIS 资料集和提高其准确性的宝贵资源。
• 使用者友善介面和GIS的普及：更直觉、更用户友善的介面的开发，使GIS工具能够被更广泛的受众（包括非专业人士）所使用。这些平台使技术水平较低的用户也能创建和部署GIS应用程序，从而促进GIS的广泛应用。

目录

第一章 全球云端 GIS 市场采用情况

• 市场定义
• 市场区隔
• 调查时间表
• 先决条件
• 限制

第 2 章 已验证的市场研究调查方法

• 资料探勘
• 数据三角测量
• 自下而上的方法
• 自上而下的方法
• 调查流程
• 业界专家的重要见解
• 资料来源

第三章执行摘要

• 市场概览
• 生态测绘
• 绝对的商机
• 市场吸引力
• 全球云端 GIS 市场区域分析
• 全球云端 GIS 市场类型
• 全球云端 GIS 市场（按应用）
• 未来市场机会
• 全球市场区隔
• 产品生命线

第四章 全球云端 GIS 市场展望

• 全球云端 GIS 的发展
• 驱动程式
  • 司机1
  • 司机2
• 限制因素
  • 约束因素 1
  • 限制因素2
• 机会
  • 机会1
  • 机会2
• 波特五力模型
• 价值链分析
• 定价分析
• 宏观经济分析

第五章 全球云端 GIS 市场（按类型）

• 概述
• SaaS
• PaaS
• IaaS

第六章 全球云端 GIS 市场（按应用）

• 概述
• 政府
• 公司
• 教育机构
• 卫生保健
• 零售

第七章 云端 GIS 市场（依部署模式）

• 概述
• 公共云端
• 私有云端
• 混合云端

7. 全球云端 GIS 市场（按地区）

• 概述
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 阿根廷
  • 其他拉丁美洲
• 中东和非洲
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 南非
  • 其他中东和非洲地区

8. 全球云端 GIS 市场的竞争格局

• 概述
• 各公司市场排名
• 主要进展
• 公司地理分布
• 公司在各行业的足迹
• ACE矩阵

第九章 公司简介

• 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.

第十章 已验证的市场情报

• 关于已验证的市场情报
• 动态资料视觉化

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