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封面
市场调查报告书
商品编码
1875880

全球地理空间分析市场

Geospatial Analytics
出版日期: | 出版商: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 英文 184 Pages | 商品交期: 最快1-2个工作天内

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简介目录

全球地理空间分析市场预计到2030年将达到2,329亿美元。

全球地理空间分析市场规模在2024年估计为1,170亿美元，预计到2030年将达到2,329亿美元，在分析期间（2024-2030年）内复合年增长率（CAGR）为12.2%。本报告分析的细分市场之一「地面和现场分析」预计将以13.8%的复合年增长率增长，并在分析期结束时达到1084亿美元。同时，「网路和位置分析」细分市场预计在分析期间内将以10.7%的复合年增长率成长。

美国市场规模估计为324亿美元，而中国市场预计将以11.3%的复合年增长率成长。

预计2024年，美国地理空间分析市场规模将达324亿美元。作为世界第二大经济体，中国预计到2030年市场规模将达到354亿美元，在2024年至2030年的分析期间内，复合年增长率（CAGR）将达到11.3%。其他值得关注的区域市场包括日本和加拿大，预计在分析期内，这两个市场的复合年增长率将分别达到10.9%和9.8%。在欧洲，德国的复合年增长率预计将达到约8.5%。

全球地理空间分析市场－主要市场趋势与驱动因素概述

为什么地理空间分析正在彻底改变各行业的决策方式

地理空间分析正在革新各产业收集、分析和利用位置资料的方式，从而助力城市规划、农业、物流和国防等领域做出更明智的决策。那么，地理空间分析为何在当今如此重要？地理空间分析利用地理资讯系统 (GIS)、遥感探测和全球定位系统 (GPS) 等技术，收集、处理和视觉化与特定地理位置相关的资料。透过分析空间关係和模式，我们可以深入了解物理环境、人类行为和自然现象，使其成为优化营运、改善资源管理和解决复杂问题的强大工具。

例如，在城市规划中，地理空间分析能够帮助城市进行智慧基础设施设计、交通流量管理和资源高效配置。在农业领域，整合气象资料和土壤状况讯息，可以帮助农民监测作物生长、优化用水并提高产量预测的准确性。在物流领域，地理空间分析用于优化配送路线、管理车队和降低运输成本。在国防和安全领域，它能够为战略行动提供即时监控和情境察觉。凭藉其透过空间资料视觉化提供可操作洞察的能力，地理空间分析正变得日益成为企业、政府和组织提升效率、永续性和改进决策的关键技术。

科技进步如何拓展地理空间分析的能力？

技术创新显着拓展了地理空间分析的功能和应用范围，提高了其在各行各业的准确性、可及性和影响力。其中一项最重要的创新是将卫星、无人机和感测器等先进数据采集技术整合到地理空间系统中。这些工具能够将高解析度的即时资料传输到地理空间系统，从而实现更精确、更动态的分析。例如，无人机正在革新农业资料收集方式，透过拍摄详细的田间影像来监测作物健康状况、识别病虫害并评估用水量。卫星则提供了全球观点，为追踪气候变迁、森林砍伐和城市扩张等问题提供了关键资讯。

另一项重大进展是将巨量资料和机器学习演算法应用于地理空间分析。这些技术能够处理来自多个来源的大量空间数据，并揭示人工难以发现的模式和趋势。透过分析历史地理空间资料和即时输入，机器学习模型可以进行训练，从而预测交通拥堵、作物产量和灾害风险等结果。例如，在城市规划中，机器学习演算法可以分析交通模式并预测新基础设施计划的影响，从而帮助决策者做出更明智的决策。此外，巨量资料还能够将人口统计、经济指标和社群媒体活动等非空间资料整合到地理空间模型中，从而更全面地了解影响地理趋势的因素。

云端运算的兴起也正在改变地理空间分析，使其更具扩充性，并惠及各种规模的企业和政府机构。诸如 Google Earth Engine 和 Esri 的 ArcGIS云端基础平台使组织无需昂贵的硬体即可储存和处理大型资料集。这使得用户可以随时随地存取地理空间分析工具并进行即时协作，从而普及了强大的基于位置的洞察。云端运算也提高了近即时分析地理空间资料的能力，这对于物流等产业至关重要，因为及时的资讯可能决定着企业的盈亏。

此外，人工智慧 (AI) 和预测分析技术的进步正在拓展地理空间分析的潜力。 AI 演算法分析地理空间数据，以提高自然灾害预测、供应链优化、土地利用管理等领域的预测模型的准确性。预测分析工具使组织能够预测未来趋势和状况，并采取预防措施。例如，AI 驱动的地理空间分析可以透过分析历史火灾资料、植被状况和天气模式来预测野火风险。这些进步使地理空间分析更加动态和实用，使其成为解决各行各业复杂挑战的关键工具。

为什么地理空间分析对于提高营运效率、永续性和安全性至关重要？

地理空间分析对于提升营运效率、促进永续性和增强安全性至关重要，它能够提供精准的、基于位置的洞察，从而优化资源配置、减少废弃物并改善决策。例如，在物流领域，地理空间分析被用于优化配送路线、追踪车辆行驶轨迹以及即时监控交通状况。透过分析空间数据，企业可以最大限度地降低油耗、缩短配送时间并提升整体营运效率。这对电子商务公司而言尤其重要，因为快速且经济高效的配送是提升客户满意度的关键。

在农业领域，地理空间分析协助精密农业，提供数据驱动的洞察，帮助农民更有效率地管理资源。透过分析卫星影像、天气模式和土壤状况，农民可以确定播种、灌溉和收穫的最佳时间，从而提高产量并减少水肥用量。这不仅提高了农业生产的经济效益，也促进了更永续的农业实践。远端监控大规模农业生产的能力减少了人力和实地巡查的需求，进一步提高了营运效率。

地理空间分析对于环境监测和保护工作至关重要。各国政府和环保组织利用地理空间工具追踪森林砍伐、监测野生动物栖息地并有效率地管理自然资源。透过可视化土地利用和自然环境随时间的变化，可以改善土地保护和环境保护的决策。例如，在林业领域，地理空间资料可以追踪非法伐木活动，并更有效地执行保护法律。同样，在水资源管理领域，地理空间分析有助于监测水位、预测干旱并优化农业灌溉系统。

在安全和国防领域，地理空间分析在即时态势感知和威胁评估中发挥着至关重要的作用。执法和军事机构依靠地理空间分析来监控边境、追踪部队调动并评估战略区域的脆弱性。在自然灾害和人道危机期间，地理空间工具透过提供受灾地区的即时地图来帮助协调紧急应变工作，使第一线救援人员能够优先处理最需要援助的区域。在网路安全领域，地理空间分析也被用来监控网路攻击的实体位置，帮助组织更有效地应对威胁。

地理空间分析能够即时分析基于位置的数据，帮助各行各业的组织提高营运效率、减少环境影响并增强安全性。无论是优化供应链、管理自然资源或改善公共，地理空间分析都能提供关键洞察，进而促进更明智的决策和永续的成果。

哪些因素正在推动地理空间分析市场的成长？

推动地理空间分析市场快速成长的关键因素包括：对定位服务需求不断增长、地理空间技术的进步、智慧城市的兴起以及在农业、国防和物流等领域的应用不断扩展。首先，各行业对定位服务(LBS) 的需求不断增长是地理空间分析市场的主要驱动力。随着智慧型手机、GPS 设备和物联网 (IoT) 感测器的广泛应用，企业正在利用地理空间分析为客户提供个人化的即时服务。例如，零售商利用地理空间资料向客户推送基于位置的优惠讯息，而运输公司则利用地理空间资料进行资产追踪和路线优化。

其次，地理空间技术的进步，例如卫星影像品质的提升、无人机能力的增强以及地理资讯系统（GIS）软体的进步，正在推动市场成长。从多个来源收集高解析度影像和空间资料的能力，使得地理空间分析更加强大和精准。此外，人工智慧（AI）和机器学习演算法与地理空间平台的集成，使得对大型资料集的分析速度更快、精度更高。这些进步正在拓展地理空间分析的应用范围，从预测城市发展到优化农业实践，甚至到应对自然灾害。

第三，智慧城市的兴起和对都市化的日益重视正在推动对地理空间分析的需求。各国政府和地方政府正在采用地理空间工具来规划和管理基础设施、监控交通流量，并在智慧城市建设中有效分配资源。地理空间分析对于改善公共服务、提高能源效率以及应对世界各地城市普遍存在的快速都市化问题至关重要。随着越来越多的城市采用智慧基础设施，对用于分析和优化城市系统的地理空间分析的需求预计将显着增长。

地理空间分析技术在农业、国防和物流等行业的日益广泛应用也推动了市场成长。在农业领域，基于地理空间数据的精密农业技术有助于优化资源利用、提高作物产量并减少环境影响。在国防领域，地理空间分析技术被用于战场规划、威胁评估和即时监控，从而为军事行动提供战略优势。同样，物流和运输业也依赖地理空间分析技术进行路线优化、车队管理和缩短交货时间，所有这些都有助于提高营运效率和客户满意度。

最后，人们对环境永续性和灾害管理的日益关注正在推动地理空间分析技术的应用。各国政府、环保机构和组织正在利用地理空间工具监测森林砍伐、追踪野生动物栖息地以及管理洪水、地震和野火等自然灾害。即时预测和应对环境变化的能力正在推动对地理空间分析解决方案的需求，尤其是在气候变迁加剧自然灾害发生频率和严重程度的情况下。

总之，由于对定位服务需求不断增长、技术进步、智慧城市建设兴起以及关键行业应用范围的扩大，地理空间分析市场正经历着显着增长。随着企业、政府和组织持续将数据驱动决策置于优先地位，地理空间分析将在优化营运、提升永续性和加强全球安全方面发挥关键作用。

部分：

元件（软体/解决方案、服务）、类型（地面/现场分析、网路/位置分析、地理空间视觉化、其他类型）

受访公司范例

  • AAM Pty Ltd.
  • Alteryx, Inc.
  • Autodesk, Inc.
  • Bentley Systems, Inc.
  • Critigen
  • Descartes Labs, Inc.
  • DigitalGlobe
  • Esri
  • Fugro NV
  • General Electric Company
  • Geospin GmbH
  • Google LLC
  • Harris Corporation
  • Hexagon AB
  • Mapidea
  • Maplarge
  • Maxar Technologies Ltd.
  • Oracle Corporation
  • Orbital Insight, Inc.
  • Pitney Bowes, Inc.
  • RMSI Pvt. Ltd.,
  • SAP SE
  • TomTom International BV
  • Trimble, Inc.
  • Zillioninfo

人工智慧集成

我们正在利用检验的专家内容和人工智慧工具，革新市场和竞争情报分析。

Market Glass, Inc. 并没有采用查询LLM 或产业专用的SLM 的典型方法，而是建立了一个由世界各地领域专家精心策划的内容库，其中包括视频转录、博客、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

在最新发布的报告中，Market Glass, Inc. 将关税对地理市场的影响纳入考量，并根据公司总部所在国、製造地以及进出口（成品和OEM产品）情况，预测企业竞争格局的变化。这种复杂多变的市场现实将对竞争对手产生多方面的影响，包括销货成本增加、盈利下降和供应链重组，同时也会影响微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲
  • 亚太地区
  • 世界其他地区

第四章 竞赛

简介目录
Product Code: MCP12175

Global Geospatial Analytics Market to Reach US$232.9 Billion by 2030

The global market for Geospatial Analytics estimated at US$117.0 Billion in the year 2024, is expected to reach US$232.9 Billion by 2030, growing at a CAGR of 12.2% over the analysis period 2024-2030. Surface & Field Analytics, one of the segments analyzed in the report, is expected to record a 13.8% CAGR and reach US$108.4 Billion by the end of the analysis period. Growth in the Network & Location Analytics segment is estimated at 10.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$32.4 Billion While China is Forecast to Grow at 11.3% CAGR

The Geospatial Analytics market in the U.S. is estimated at US$32.4 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$35.4 Billion by the year 2030 trailing a CAGR of 11.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 10.9% and 9.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 8.5% CAGR.

Global Geospatial Analytics Market - Key Trends and Drivers Summarized

Why Is Geospatial Analytics Revolutionizing Decision-Making Across Industries?

Geospatial analytics is transforming how industries collect, analyze, and leverage location-based data, enabling more informed decision-making in sectors such as urban planning, agriculture, logistics, and defense. But why is geospatial analytics so essential today? Geospatial analytics involves the gathering, processing, and visualization of data tied to specific geographical locations, using technologies like geographic information systems (GIS), remote sensing, and global positioning systems (GPS). By analyzing spatial relationships and patterns, it provides critical insights into physical environments, human behavior, and natural phenomena, making it a powerful tool for optimizing operations, improving resource management, and solving complex problems.

In urban planning, for example, geospatial analytics helps cities design smarter infrastructure, manage traffic flow, and allocate resources efficiently. In agriculture, it allows farmers to monitor crop health, optimize water usage, and enhance yield prediction by integrating weather data and soil conditions. The logistics sector relies on geospatial analytics to optimize delivery routes, manage fleets, and reduce transportation costs. In defense and security, it enables real-time monitoring and situational awareness in strategic operations. With its ability to provide actionable insights through the visualization of spatial data, geospatial analytics is becoming indispensable for businesses, governments, and organizations looking to enhance efficiency, sustainability, and decision-making.

How Are Technological Advancements Expanding the Capabilities of Geospatial Analytics?

Technological advancements are significantly expanding the capabilities and applications of geospatial analytics, making it more accurate, accessible, and powerful across industries. One of the most important innovations is the integration of advanced data collection technologies such as satellites, drones, and sensors. These tools provide high-resolution, real-time data that can be fed into geospatial systems, allowing for more precise and dynamic analysis. Drones, for instance, are revolutionizing data collection in agriculture, where they capture detailed images of fields to monitor crop health, identify pests, and assess water usage. Satellites offer a global perspective, providing critical information for tracking climate change, deforestation, and urban sprawl.

Another major advancement is the use of big data and machine learning algorithms in geospatial analytics. These technologies can process vast amounts of spatial data from multiple sources, uncovering patterns and trends that would be impossible to detect manually. Machine learning models are being trained to predict outcomes such as traffic congestion, crop yields, or disaster risks by analyzing historical geospatial data and real-time inputs. In urban planning, for example, machine learning algorithms can analyze traffic patterns and forecast the impact of new infrastructure projects, enabling more informed decision-making. In addition, big data allows for the integration of non-spatial data-such as demographics, economic indicators, or social media activity-into geospatial models, providing a more comprehensive view of the factors influencing geographical trends.

The rise of cloud computing is also transforming geospatial analytics, making it more scalable and accessible to businesses and governments of all sizes. Cloud-based platforms like Google Earth Engine and Esri’s ArcGIS enable organizations to store and process massive datasets without the need for expensive hardware. This allows users to access geospatial analytics tools from anywhere and collaborate in real time, democratizing access to powerful location-based insights. Cloud computing also enhances the ability to analyze geospatial data in near-real time, which is critical for industries like logistics, where timely information can mean the difference between profit and loss.

In addition, the development of artificial intelligence (AI) and predictive analytics is pushing the boundaries of geospatial analytics. AI algorithms can analyze geospatial data to make predictive models more accurate, whether it’s forecasting natural disasters, optimizing supply chains, or managing land use. Predictive analytics tools are helping organizations anticipate future trends and conditions, allowing them to take proactive measures. For example, AI-driven geospatial analytics can predict wildfire risks by analyzing historical fire data, vegetation conditions, and weather patterns. These advancements are making geospatial analytics more dynamic, actionable, and essential for solving complex challenges across a range of industries.

Why Is Geospatial Analytics Critical for Enhancing Operational Efficiency, Sustainability, and Security?

Geospatial analytics is critical for enhancing operational efficiency, promoting sustainability, and improving security because it provides precise, location-based insights that optimize resource allocation, reduce waste, and enable better decision-making. In logistics, for example, geospatial analytics is used to optimize delivery routes, track fleet movements, and monitor traffic conditions in real time. By analyzing spatial data, companies can minimize fuel consumption, reduce delivery times, and improve overall operational efficiency. This is particularly valuable for e-commerce companies, where rapid and cost-effective delivery is key to customer satisfaction.

In agriculture, geospatial analytics enables precision farming, where data-driven insights help farmers manage their resources more efficiently. By analyzing satellite imagery, weather patterns, and soil conditions, farmers can determine the optimal timing for planting, irrigation, and harvesting, resulting in better crop yields and reduced water and fertilizer usage. This not only improves the economic efficiency of farming operations but also promotes more sustainable agricultural practices. The ability to monitor large-scale farming operations remotely also reduces the need for manual labor and field inspections, further enhancing operational efficiency.

Geospatial analytics is also essential for environmental monitoring and conservation efforts. Governments and environmental organizations use geospatial tools to track deforestation, monitor wildlife habitats, and manage natural resources more effectively. By visualizing changes in land use and natural environments over time, geospatial analytics enables better decision-making regarding land conservation and environmental protection. For instance, in forestry, geospatial data can track illegal logging activities, allowing for more effective enforcement of conservation laws. Similarly, water resource management benefits from geospatial analytics, as it helps monitor water levels, forecast droughts, and optimize irrigation systems in agriculture.

In security and defense, geospatial analytics plays a vital role in real-time situational awareness and threat assessment. Law enforcement agencies and military organizations rely on geospatial analytics to monitor borders, track troop movements, and assess vulnerabilities in strategic areas. During natural disasters or humanitarian crises, geospatial tools help coordinate emergency response efforts by providing real-time maps of affected regions, enabling first responders to prioritize areas in need of assistance. In cybersecurity, geospatial analytics can even be used to monitor the physical locations of cyber-attacks, helping organizations respond to threats more effectively.

By offering the ability to analyze location-based data in real time, geospatial analytics helps organizations across various sectors operate more efficiently, reduce environmental impact, and enhance security. Whether it’s optimizing supply chains, managing natural resources, or improving public safety, geospatial analytics provides critical insights that lead to better decision-making and more sustainable outcomes.

What Factors Are Driving the Growth of the Geospatial Analytics Market?

Several key factors are driving the rapid growth of the geospatial analytics market, including the increasing demand for location-based services, advancements in geospatial technology, the rise of smart cities, and growing applications in sectors like agriculture, defense, and logistics. First, the increasing demand for location-based services (LBS) across industries is a major driver of the geospatial analytics market. With the widespread use of smartphones, GPS-enabled devices, and IoT (Internet of Things) sensors, businesses are leveraging geospatial analytics to deliver personalized, real-time services to their customers. For example, retailers use geospatial data to target customers with location-specific offers, while transportation companies use it to track assets and optimize routes.

Second, advancements in geospatial technology, including improvements in satellite imaging, drone capabilities, and GIS software, are fueling market growth. The ability to collect high-resolution imagery and spatial data from multiple sources is making geospatial analytics more powerful and precise. Additionally, the integration of artificial intelligence (AI) and machine learning algorithms into geospatial platforms is enabling faster, more accurate analysis of large datasets. These advancements are expanding the applications of geospatial analytics, from predicting urban growth to optimizing agricultural practices and even managing natural disasters.

Third, the rise of smart cities and the increasing focus on urbanization are driving demand for geospatial analytics. Governments and municipalities are adopting geospatial tools to plan and manage infrastructure, monitor traffic flow, and allocate resources efficiently in smart city initiatives. Geospatial analytics is critical for improving public services, enhancing energy efficiency, and managing the rapid urbanization seen in cities around the world. As more cities implement smart infrastructure, the demand for geospatial analytics to analyze and optimize urban systems is expected to grow significantly.

The growing applications of geospatial analytics in industries like agriculture, defense, and logistics are also contributing to market expansion. In agriculture, precision farming techniques driven by geospatial data are helping farmers optimize resource usage, improve crop yields, and reduce environmental impact. In defense, geospatial analytics is used for battlefield planning, threat assessment, and real-time surveillance, providing strategic advantages in military operations. Similarly, the logistics and transportation sector relies on geospatial analytics for route optimization, fleet management, and reducing delivery times, all of which improve operational efficiency and customer satisfaction.

Lastly, the increasing focus on environmental sustainability and disaster management is boosting the adoption of geospatial analytics. Governments, environmental agencies, and organizations are using geospatial tools to monitor deforestation, track wildlife habitats, and manage natural disasters such as floods, earthquakes, and wildfires. The ability to predict and respond to environmental changes in real time is driving demand for geospatial analytics solutions, particularly as climate change intensifies the frequency and severity of natural disasters.

In conclusion, the geospatial analytics market is experiencing significant growth due to the increasing demand for location-based services, technological advancements, the rise of smart cities, and expanding applications across key industries. As businesses, governments, and organizations continue to prioritize data-driven decision-making, geospatial analytics will play a critical role in optimizing operations, improving sustainability, and enhancing security across the globe.

SCOPE OF STUDY:

The report analyzes the Geospatial Analytics market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software & Solution, Services); Type (Surface & Field Analytics, Network & Location Analytics, Geovisualization, Other Types)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • AAM Pty Ltd.
  • Alteryx, Inc.
  • Autodesk, Inc.
  • Bentley Systems, Inc.
  • Critigen
  • Descartes Labs, Inc.
  • DigitalGlobe
  • Esri
  • Fugro N.V.
  • General Electric Company
  • Geospin GmbH
  • Google LLC
  • Harris Corporation
  • Hexagon AB
  • Mapidea
  • Maplarge
  • Maxar Technologies Ltd.
  • Oracle Corporation
  • Orbital Insight, Inc.
  • Pitney Bowes, Inc.
  • RMSI Pvt. Ltd.,
  • SAP SE
  • TomTom International BV
  • Trimble, Inc.
  • Zillioninfo

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TARIFF IMPACT FACTOR

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Trade Shocks, Uncertainty, and the Structural Rewiring of the Global Economy
    • Global Economic Update
    • Geospatial Analytics - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Advancements in GIS Technology Propel the Use of Geospatial Analytics
    • Increasing Application in Urban Planning and Smart City Initiatives
    • Role of Geospatial Data in Enhancing Disaster Management and Response
    • Growth in Location-based Services Fueling Demand for Advanced Analytics
    • Expansion of Geospatial Analytics in Agricultural and Environmental Monitoring
    • Economic Benefits of Geospatial Analytics in Logistics and Supply Chain Optimization
    • Market Opportunities in Defense and Intelligence for Geospatial Solutions
    • Role of Geospatial Analytics in Healthcare and Epidemic Tracking
    • Expansion of Geospatial Analytics in Retail and Consumer Behavior Analysis
    • Future Directions: Autonomous Vehicles and Geospatial Data Integration
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Software & Solution by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 2: World 6-Year Perspective for Software & Solution by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 4: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Surface & Field Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 6: World 6-Year Perspective for Surface & Field Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for Network & Location Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 8: World 6-Year Perspective for Network & Location Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Geovisualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 10: World 6-Year Perspective for Geovisualization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Other Types by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 12: World 6-Year Perspective for Other Types by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 13: World Geospatial Analytics Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Geospatial Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Geospatial Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 16: USA Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 17: USA 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 18: USA Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 19: USA 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • CANADA
    • TABLE 20: Canada Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 21: Canada 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 22: Canada Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 23: Canada 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • JAPAN
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 24: Japan Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 25: Japan 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 26: Japan Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Japan 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • CHINA
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 28: China Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 29: China 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 30: China Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: China 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • EUROPE
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 32: Europe Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Europe 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 34: Europe Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Europe 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
    • TABLE 36: Europe Recent Past, Current & Future Analysis for Geospatial Analytics by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 37: Europe 6-Year Perspective for Geospatial Analytics by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
  • FRANCE
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 38: France Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: France 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 40: France Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: France 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • GERMANY
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 42: Germany Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Germany 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 44: Germany Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Germany 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • ITALY
    • TABLE 46: Italy Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Italy 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 48: Italy Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Italy 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • UNITED KINGDOM
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 50: UK Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: UK 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 52: UK Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: UK 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 54: Rest of Europe Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Rest of Europe 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 56: Rest of Europe Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Rest of Europe 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Geospatial Analytics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 58: Asia-Pacific Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Asia-Pacific 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 60: Asia-Pacific Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Asia-Pacific 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 62: Rest of World Recent Past, Current & Future Analysis for Geospatial Analytics by Component - Software & Solution and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Rest of World 6-Year Perspective for Geospatial Analytics by Component - Percentage Breakdown of Value Sales for Software & Solution and Services for the Years 2025 & 2030
    • TABLE 64: Rest of World Recent Past, Current & Future Analysis for Geospatial Analytics by Type - Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Rest of World 6-Year Perspective for Geospatial Analytics by Type - Percentage Breakdown of Value Sales for Surface & Field Analytics, Network & Location Analytics, Geovisualization and Other Types for the Years 2025 & 2030

IV. COMPETITION