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市场调查报告书
商品编码
1755187

地理空间分析市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

Geospatial Analytics Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 190 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球地理空间分析市场规模为 383 亿美元,预计年复合增长率为 13.6%,到 ​​2034 年将达到 1181 亿美元,这得益于基于位置的服务日益普及、智慧城市的发展以及农业、交通运输、国防和城市规划等各行各业对实时资料分析的运用。人工智慧、物联网和卫星成像等尖端技术的整合有助于增强地理空间分析的能力和应用。 5G 技术的推出有助于提供更快、更可靠的资料传输,从而支援部署地理空间应用程序,实现更智慧的决策过程。地理空间分析使各行各业能够利用特定位置的资料来提高营运效率、进行预测分析和即时洞察。

地理空间分析市场 - IMG1

对基于位置的服务的需求是推动市场成长的另一个关键因素。随着零售、物流和运输等行业越来越依赖空间资料进行决策,对精确地图绘製、追踪和预测洞察的需求也大幅增长。随着越来越多的公司将地理空间技术融入其运营,基于位置的服务使用量的激增正在加速市场的扩张。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 383亿美元
预测值 1181亿美元
复合年增长率 13.6%

2024年,解决方案细分市场占据78%的市场份额,预计到2034年,该细分市场将继续保持13.5%的强劲复合年增长率,这得益于各行各业对精准实时地理空间洞察日益增长的需求。地理资讯系统 (GIS) 平台、遥感工具和位置智慧软体等关键解决方案使企业能够有效率地处理和分析大量空间资料。这些技术使企业能够了解地理模式、最佳化资源配置,并做出更明智的数据驱动型决策。

2024年,地理空间分析市场的云端部署部分占据主导地位,占56%的份额,预计2025年至2034年的复合年增长率将达到14%。云端解决方案的兴起得益于其可扩展性、灵活性和成本效益,使企业无需昂贵的本地基础设施即可处理大量地理空间资料。云端平台对于即时资料处理和整合来自卫星和物联网设备等各种来源的资讯也至关重要。这使得在灾害管理和物流等时间敏感情境下能够做出更准确的决策。随着基于SaaS的平台日益普及,基于云端的地理空间解决方案的采用正在加速。

由于国防、交通和城市规划等产业对地理空间资料分析的需求不断增长,美国地理空间分析市场占据了86%的市场份额,2024年市场规模达到121亿美元。政府对地理空间技术的投资,尤其是在国土安全、基础设施现代化和灾害管理方面的投资,推动了市场的发展。此外,公用事业、农业和物流领域对地理空间分析的应用也推动了该市场的进一步扩张。人工智慧、巨量资料和云端运算领域的技术创新也刺激了对先进地理空间解决方案的需求。

全球地理空间分析市场的主要参与者包括 Bentley Systems、Esri、Fugro、Google、Hexagon AB、IBM、Microsoft、Oracle、TomTom International 和 Trimble。为了巩固市场地位,这些公司应专注于扩展其技术能力和服务产品。透过利用人工智慧、机器学习和先进的 GIS 解决方案,这些公司正在增强其为各行各业提供即时、特定位置洞察的能力。此外,由于云端平台的可扩展性和成本效益,它们正被优先考虑,使公司能够提供更优质的资料管理和分析服务。与国防、交通和城市规划等产业的合作也有助于这些参与者提升市场地位。

目录

第一章:方法论与范围

第二章:执行摘要

第三章:行业洞察

  • 产业生态系统分析
  • 供应商格局
    • 数据提供者
    • 技术和平台提供者
    • 云端和基础设施供应商
    • 系统整合商和解决方案开发商
    • 最终用户
  • 利润率分析
  • 川普政府关税
    • 对贸易的影响
      • 贸易量中断
      • 其他国家的报復措施
    • 对产业的影响
      • 主要材料价格波动
      • 供应链重组
      • 生产成本影响
    • 受影响的主要公司
    • 策略产业反应
      • 供应链重组
      • 定价和产品策略
    • 展望与未来考虑
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管格局
  • 衝击力
    • 成长动力
      • 基于位置的服务(LBS)需求不断增长
      • 政府对智慧城市计画的投资
      • 卫星成像和遥感技术的发展
      • 与人工智慧、巨量资料的融合
      • 农业和林业的采用率不断提高
    • 产业陷阱与挑战
      • 初期投资和基础建设成本高
      • 资料隐私和安全问题
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第四章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第五章:市场估计与预测:按组件,2021 - 2034 年

  • 主要趋势
  • 解决方案
    • 地理编码和反向地理编码软体
    • 空间资料整合与ETL
    • 报告和可视化
    • 专题地图与空间分析
    • 其他的
  • 服务
    • 咨询服务
    • 部署和集成
    • 培训、支援和维护

第六章:市场估计与预测:依部署模式,2021 - 2034 年

  • 主要趋势
  • 本地

第七章:市场估计与预测:依组织规模,2021 - 2034 年

  • 主要趋势
  • 大型企业
  • 中小企业(SME)

第八章:市场估计与预测:按类型,2021 - 2034 年

  • 主要趋势
  • 表面和现场分析
  • 网路和位置分析
  • 地理视觉化
  • 其他的

第九章:市场估计与预测:依技术分类,2021 - 2034 年

  • 主要趋势
  • 遥感
  • 地理资讯系统(GIS)
  • 全球定位系统(GPS)
  • 3D扫描
  • 摄影测量

第十章:市场估计与预测:依最终用途,2021 - 2034 年

  • 主要趋势
  • 政府和国防
  • 实用工具
  • 农业
  • 建筑与房地产
  • 运输与物流
  • 卫生保健
  • 零售
  • 活力
  • 其他的

第 11 章:市场估计与预测:按地区,2021 年至 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧人
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非

第十二章:公司简介

  • Alteryx
  • Bentley Systems
  • Caliper Corporation
  • Esri
  • Fugro
  • General Electric Company (GE Digital)
  • Geospin
  • Google LLC
  • HERE Technologies
  • Hexagon AB
  • IBM
  • Maxar Technologies
  • Microsoft
  • Oracle
  • Precisely
  • SAP SE
  • Spatial Data
  • TomTom International
  • Trillium Data
  • Trimble
简介目录
Product Code: 13935

The Global Geospatial Analytics Market was valued at USD 38.3 billion in 2024 and is estimated to grow at a CAGR of 13.6% to reach USD 118.1 billion by 2034, driven by the increasing adoption of location-based services, the development of smart cities, and the use of real-time data analytics across various industries including agriculture, transportation, defense, and urban planning. The integration of cutting-edge technologies such as AI, IoT, and satellite imaging helps enhance the capabilities and applications of geospatial analytics. The rollout of 5G technology contributes by providing faster and more reliable data transmission, thus supporting the deployment of geospatial applications for more intelligent decision-making processes. Geospatial analytics allows industries to harness location-specific data for better operational efficiency, predictive analysis, and real-time insights.

Geospatial Analytics Market - IMG1

The demand for location-based services is another key factor driving the growth of the market. As industries such as retail, logistics, and transportation increasingly rely on spatial data for decision-making, the need for precise mapping, tracking, and predictive insights has grown substantially. This surge in location-based service usage is accelerating the market's expansion as more companies integrate geospatial technologies into their operations.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$38.3 Billion
Forecast Value$118.1 Billion
CAGR13.6%

In 2024, the solutions segment held 78% share, and it is projected to continue to grow at a robust CAGR of 13.5% during 2034 driven by the increasing need for accurate, real-time geospatial insights across multiple sectors. Key solutions, such as Geographic Information System (GIS) platforms, remote sensing tools, and location intelligence software, enable organizations to process and analyze vast amounts of spatial data efficiently. These technologies empower businesses to understand geographic patterns, optimize resource allocation, and make more informed, data-driven decisions.

The cloud deployment segment of the geospatial analytics market dominated in 2024 with a 56% share and is anticipated to grow at a CAGR of 14% from 2025 to 2034. The rise of cloud solutions is due to their scalability, flexibility, and cost-effectiveness, enabling organizations to handle large volumes of geospatial data without costly on-premises infrastructure. Cloud platforms are also crucial for real-time data processing and integrating information from various sources, such as satellites and IoT devices. This allows for more accurate decision-making in time-sensitive scenarios, such as disaster management and logistics. The adoption of cloud-based geospatial solutions is accelerating as SaaS-based platforms become more prevalent.

U.S. Geospatial Analytics Market held an 86% share and generated USD 12.1 billion in 2024 due to the increasing demand for geospatial data analytics across industries such as defense, transportation, and urban planning. Government investment in geospatial technologies, particularly for homeland security, infrastructure modernization, and disaster management drives the market. Additionally, adopting geospatial analytics in utilities, agriculture, and logistics is fueling further expansion. Technological innovations in AI, big data, and cloud computing bolster the demand for advanced geospatial solutions.

Key players in the Global Geospatial Analytics Market include Bentley Systems, Esri, Fugro, Google, Hexagon AB, IBM, Microsoft, Oracle, TomTom International, and Trimble. To strengthen their market presence, focus on expanding their technological capabilities and service offerings. By leveraging AI, machine learning, and advanced GIS solutions, these companies are enhancing their ability to provide real-time, location-specific insights across various industries. Additionally, adopting cloud-based platforms is being prioritized for their scalability and cost efficiency, allowing companies to provide better data management and analytics services. Partnerships with industries such as defense, transportation, and urban planning are also helping these players enhance their market positioning.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Data providers
    • 3.2.2 Technology and platform providers
    • 3.2.3 Cloud and infrastructure providers
    • 3.2.4 System integrators and solution developers
    • 3.2.5 End users
  • 3.3 Profit margin analysis
  • 3.4 Trump administration tariffs
    • 3.4.1 Impact on trade
      • 3.4.1.1 Trade volume disruptions
      • 3.4.1.2 Retaliatory measures by other countries
    • 3.4.2 Impact on the industry
      • 3.4.2.1 Price Volatility in key materials
      • 3.4.2.2 Supply chain restructuring
      • 3.4.2.3 Production cost implications
    • 3.4.3 Key companies impacted
    • 3.4.4 Strategic industry responses
      • 3.4.4.1 Supply chain reconfiguration
      • 3.4.4.2 Pricing and product strategies
    • 3.4.5 Outlook and future considerations
  • 3.5 Technology & innovation landscape
  • 3.6 Patent analysis
  • 3.7 Key news & initiatives
  • 3.8 Regulatory landscape
  • 3.9 Impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Rising demand for location-based services (LBS)
      • 3.9.1.2 Government investments in smart city projects
      • 3.9.1.3 Growth of satellite imaging and remote sensing technologies
      • 3.9.1.4 Integration with artificial intelligence and big data
      • 3.9.1.5 Increasing adoption in agriculture and forestry
    • 3.9.2 Industry pitfalls & challenges
      • 3.9.2.1 High initial investment and infrastructure costs
      • 3.9.2.2 Data privacy and security concerns
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Solution
    • 5.2.1 Geocoding and reverse geocoding software
    • 5.2.2 Spatial data integration & ETL
    • 5.2.3 Reporting & visualization
    • 5.2.4 Thematic mapping & spatial analysis
    • 5.2.5 Others
  • 5.3 Service
    • 5.3.1 Consulting services
    • 5.3.2 Deployment and integration
    • 5.3.3 Training, support, and maintenance

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 On-premises
  • 6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 Large enterprises
  • 7.3 Small and medium-sized enterprises (SME)

Chapter 8 Market Estimates & Forecast, By Type, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 Surface & field analytics
  • 8.3 Network & location analytics
  • 8.4 Geovisualization
  • 8.5 Others

Chapter 9 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)

  • 9.1 Key trends
  • 9.2 Remote sensing
  • 9.3 Geographic information systems (GIS)
  • 9.4 Global positioning system (GPS)
  • 9.5 3D scanning
  • 9.6 Photogrammetry

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

  • 10.1 Key trends
  • 10.2 Government & defense
  • 10.3 Utilities
  • 10.4 Agriculture
  • 10.5 Construction & real estate
  • 10.6 Transportation & logistics
  • 10.7 Healthcare
  • 10.8 Retail
  • 10.9 Energy
  • 10.10 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 11.1 Key trends
  • 11.2 North America
    • 11.2.1 U.S.
    • 11.2.2 Canada
  • 11.3 Europe
    • 11.3.1 UK
    • 11.3.2 Germany
    • 11.3.3 France
    • 11.3.4 Italy
    • 11.3.5 Spain
    • 11.3.6 Russia
    • 11.3.7 Nordics
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 India
    • 11.4.3 Japan
    • 11.4.4 South Korea
    • 11.4.5 ANZ
    • 11.4.6 Southeast Asia
  • 11.5 Latin America
    • 11.5.1 Brazil
    • 11.5.2 Mexico
    • 11.5.3 Argentina
  • 11.6 MEA
    • 11.6.1 UAE
    • 11.6.2 Saudi Arabia
    • 11.6.3 South Africa

Chapter 12 Company Profiles

  • 12.1 Alteryx
  • 12.2 Bentley Systems
  • 12.3 Caliper Corporation
  • 12.4 Esri
  • 12.5 Fugro
  • 12.6 General Electric Company (GE Digital)
  • 12.7 Geospin
  • 12.8 Google LLC
  • 12.9 HERE Technologies
  • 12.10 Hexagon AB
  • 12.11 IBM
  • 12.12 Maxar Technologies
  • 12.13 Microsoft
  • 12.14 Oracle
  • 12.15 Precisely
  • 12.16 SAP SE
  • 12.17 Spatial Data
  • 12.18 TomTom International
  • 12.19 Trillium Data
  • 12.20 Trimble