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상품코드
1630479

세계의 지리공간 분석 시장 예측(-2029년) : 오퍼링별, 기술별, 데이터 유형별, 업계별, 지역별

Geospatial Analytics Market by Software Type (Geocoding, Thematic Mapping, ETL, Spatial Data), Technology (Sensors, LiDAR, Radar, GPR, EML, GNSS, GIS, ML), Data Type (Raster Data, Vector Data, 3D Data, Tabular Data), & Vertical - Global Forecast to 2029

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 390 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

지리공간 분석 시장 규모는 2024년 329억 7,000만 달러에서 2029년에는 557억 5,000만 달러로 성장하며, 예측 기간 중 CAGR은 11.1%에 달할 것으로 예측됩니다.

이 시장이 크게 성장할 것으로 예측되는 주요 요인은 다음과 같습니다. 교통, 소매, 헬스케어 등 산업 전반에 걸쳐 위치 기반서비스(LBS) 도입이 증가하면서 실시간 위치정보 인텔리전스에 대한 수요가 증가하고 있으며, AI, IoT, 빅데이터 분석 등 공간 데이터 처리 기술의 발전으로 대규모 지역적 공간 데이터를 효율적으로 분석할 수 있는 능력이 향상되고 있습니다. 분석하는 능력이 강화되고 있습니다. 또한 전 세계에서 스마트 시티 및 도시 계획 구상에 대한 투자가 증가함에 따라 인프라, 자원 관리 및 지속가능한 도시 개발을 최적화하는 지역적 공간 툴의 필요성이 대두되면서 시장 성장을 더욱 촉진하고 있습니다.

조사 범위
조사 대상년 2019-2029년
기준년 2023년
예측 기간 2024-2029
검토 단위 달러(10억 달러)
부문 오퍼링별, 기술별, 데이터 유형별, 업계별, 지역별
대상 지역 북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카

센서와 스캐닝 기술은, LiDAR, 레이더, 위성 영상과 같은 다양한 소스에서 수집된 데이터를 처리하고 분석하는 고급 소프트웨어 솔루션에 힘입어 지형 공간 분석 시장에서 가장 큰 시장 점유율을 차지하고 있습니다. 이러한 소프트웨어 툴은 실시간 데이터 통합, 시각화 및 분석을 통해 원시 센서 입력을 실용적인 지역적 공간적 인사이트으로 변환하며, 3D 매핑, 지형 분석, 인프라 모니터링과 같은 용도는 정확성과 효율성을 높이기 위해 이러한 소프트웨어 기능에 의존하고 있습니다. AI 기반 처리와 클라우드 기반 플랫폼의 채택이 증가함에 따라 센서 및 스캐닝 소프트웨어가 산업 전반의 복잡한 지역적 공간적 과제를 해결하는 데 있으며, 센서와 스캐닝 소프트웨어의 역할이 더욱 강화될 것입니다.

기업이 의사결정과 전략 수립을 강화하기 위해 공간 데이터를 활용하는 경향이 높아짐에 따라 위치정보는 지역적 공간 분석 시장에서 가장 빠르게 성장하는 소프트웨어 유형입니다. 이 소프트웨어는 기업이 위치 기반 인사이트을 시각화, 분석 및 해석할 수 있도록 지원하며, IoT 기기, 실시간 추적 및 AI 기반 분석의 부상으로 고객 분석, 공급망 최적화, 시장 세분화에 대한 적용을 촉진한다, 위치 정보 활용이 확대되면서 소매, 물류, 도시 개발 등 다양한 산업에서 위치 정보 활용이 필수적인 요소로 자리 잡았습니다. 숨겨진 패턴을 발견하고 운영을 최적화하는 능력은 지역적 공간 분석 시장의 급격한 성장을 촉진하고 있습니다.

세계의 지리공간 분석 시장에 대해 조사했으며, 오퍼링별, 기술별, 데이터 유형별, 업계별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

제3장 개요

제4장 주요 인사이트

제5장 시장 개요와 업계 동향

  • 서론
  • 시장 역학
  • 사례 연구 분석
  • 지리공간 분석의 진화
  • 에코시스템 분석
  • 생성형 AI가 지리공간 분석 시장에 미치는 영향
  • 공급망 분석
  • 가격 분석
  • 특허 분석
  • 기술 분석
  • 지리공간 분석 기술
  • 지리공간 분석 단계
  • 지리공간 분석 비즈니스 모델
  • 지리공간 분석에서 데이터 소스
  • Porter's Five Forces 분석
  • 2024-2025년의 주요 컨퍼런스와 이벤트
  • 규제 상황
  • 투자 상황과 자금조달 시나리오
  • 주요 이해관계자와 구입 기준
  • 고객 비즈니스에 영향을 미치는 동향/혼란

제6장 지리공간 분석 시장, 오퍼링별

  • 서론
  • 소프트웨어
  • 서비스

제7장 지리공간 분석 시장, 기술별

  • 서론
  • 센서와 스캔
  • GNSS(GLOBAL NAVIGATION SATELLITE SYSTEM)
  • GIS와 지구 관측
  • ML과 첨단 분석

제8장 지리공간 분석 시장, 데이터 유형별

  • 서론
  • 래스터 데이터
  • 벡터 데이터
  • 지리시간 데이터
  • 3D 데이터
  • 표 형식 데이터
  • 기타

제9장 지리공간 분석 시장, 업계별

  • 서론
  • 에너지·유틸리티
  • 정부·방위
  • 통신
  • 보험·금융 서비스
  • 부동산·건설
  • 자동차·운송
  • 헬스케어·생명과학
  • 광업
  • 농업
  • 기타

제10장 지리공간 분석 시장, 지역별

  • 서론
  • 북미
    • 북미의 거시경제 전망
    • 촉진요인 : 북미의 지리공간 분석 시장
    • 미국
    • 캐나다
  • 유럽
    • 유럽 : 거시경제 전망
    • 촉진요인 : 유럽의 지리공간 분석 시장
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 스페인
    • 기타
  • 아시아태평양
    • 아시아태평양의 거시경제 전망
    • 촉진요인 : 아시아태평양의 지리공간 분석 시장
    • 중국
    • 일본
    • 인도
    • ASEAN 국가
    • 호주와 뉴질랜드
    • 기타
  • 중동 및 아프리카
    • 중동 및 아프리카의 거시경제 전망
    • 중동 및 아프리카 : 지리공간 분석 시장 성장 촉진요인
    • 중동
    • 아프리카
  • 라틴아메리카
    • 라틴아메리카 : 거시경제 전망
    • 라틴아메리카 : 지리공간 분석 시장 성장 촉진요인
    • 브라질
    • 멕시코
    • 아르헨티나
    • 기타

제11장 경쟁 구도

  • 개요
  • 주요 참여 기업의 전략/유력 기업
  • 매출 분석
  • 시장 점유율 분석
  • 제품 비교 분석
  • 기업 가치 평가와 재무 지표
  • 기업 평가 매트릭스 : 주요 참여 기업, 2023년
  • 기업 평가 매트릭스 : 스타트업/중소기업, 2023년
  • 경쟁 시나리오와 동향

제12장 기업 개요

  • 서론
  • 주요 참여 기업
    • GOOGLE
    • IBM
    • ALTERYX
    • HEXAGON AB
    • TOMTOM
    • MAXAR TECHNOLOGIES
    • TRIMBLE
    • CALIPER CORPORATION
    • PRECISELY
    • ESRI
    • MICROSOFT
    • BENTLEY SYSTEMS
  • 기타 기업
    • OUSTER
    • RMSI
    • MAPLARGE
    • GENERAL ELECTRIC
    • FUGRO
    • PLANET LABS
    • CLOUDFACTORY
  • 스타트업/중소기업
    • EARTHDAILY ANALYTICS
    • HEAVY.AI
    • MAPIDEA
    • GEOSPIN
    • SPARKGEO
    • ORBICA
    • CARTO
    • MAPBOX
    • BLUE SKY ANALYTICS
    • LATITUDO40
    • ECOPIA.AI
    • SPATIAL.AI
    • DISTA
    • EOS DATA ANALYTICS
    • MAGNASOFT
    • SAFEGRAPH
    • BSMA ENTERPRISES

제13장 인접 시장과 관련 시장

제14장 부록

KSA 25.01.20

The geospatial analytics market is projected to grow from USD 32.97 billion in 2024 to USD 55.75 billion by 2029, at a compound annual growth rate (CAGR) of 11.1% during the forecast period. The market is anticipated to grow significantly due to several key factors. The increasing adoption of Location-Based Services (LBS) across industries, such as transportation, retail, and healthcare, is driving demand for real-time location intelligence. Advancements in spatial data processing technologies, including AI, IoT, and big data analytics, have enhanced the ability to analyze large-scale geospatial data efficiently. Additionally, rising investments in smart cities and urban planning initiatives worldwide are fueling the need for geospatial tools to optimize infrastructure, resource management, and sustainable urban development, further propelling market growth.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsOffering, Technology, Data Type, Vertical, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

"Sensors and scanning segment is expected to hold the largest market share during the forecast period"

Sensors and scanning technologies hold the largest market share in the geospatial analytics market, driven by advanced software solutions that process and analyze data collected from diverse sources like LiDAR, radar, and satellite imagery. These software tools enable real-time data integration, visualization, and analysis, transforming raw sensor inputs into actionable geospatial insights. Applications such as 3D mapping, terrain analysis, and infrastructure monitoring rely on these software capabilities to enhance precision and efficiency. The growing adoption of AI-powered processing and cloud-based platforms further strengthens the role of sensors and scanning software in addressing complex geospatial challenges across industries.

"The location intelligence software type will have the fastest growth rate during the forecast period"

Location intelligence is the fastest-growing software type in the geospatial analytics market, as organizations increasingly leverage spatial data to enhance decision-making and strategic planning. This software enables businesses to visualize, analyze, and interpret location-based insights, driving applications in customer analytics, supply chain optimization, and market segmentation. The rise of IoT devices, real-time tracking, and AI-driven analytics has amplified the adoption of location intelligence, making it essential for industries like retail, logistics, and urban development. Its ability to uncover hidden patterns and optimize operations fuels its rapid growth in the geospatial analytics market.

"Asia Pacific's to witness rapid geospatial analytics growth fueled by innovation and emerging technologies, while North America leads in market size"

The Asia Pacific region is the fastest-growing market for geospatial analytics, driven by rapid urbanization, government initiatives for smart cities, and the increasing adoption of location-based services across industries like agriculture, transportation, and infrastructure development. Emerging economies such as India, China, and Southeast Asian nations are investing heavily in geospatial technologies to support economic growth and sustainable development. Whereas, North America continues to lead in terms of market share, owing to its advanced technological ecosystem, strong presence of key geospatial analytics providers, and widespread adoption in sectors like defense, real estate, and disaster management. This regional dynamic highlights Asia Pacific's emerging role as a growth hub while North America's maintains its dominance through innovation and established expertise.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the geospatial analytics market.

  • By Company: Tier I - 35%, Tier II - 45%, and Tier III - 20%
  • By Designation: C-Level Executives - 35%, D-Level Executives - 25%, and others - 40%
  • By Region: North America - 40%, Europe - 25%, Asia Pacific - 20%, Middle East & Africa - 10%, and Latin America - 5%

The report includes the study of key players offering geospatial analytics solutions and services. It profiles major vendors in the geospatial analytics market. The major players in the geospatial analytics market include Google (US), Microsoft (US), IBM (US), Esri (US), Alteryx (US), Hexagon AB (Sweden), TomTom (Netherlands), Maxar Technologies (US), Trimble (US), Ouster (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Innovez One (Singapore), Planet Labs (US), EarthDaily Analytics (US), Orbital Insights (US), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Orbica (New Zealand), Carto (US), Mapbox (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia.AI (Canada), Spatial AI (US), Dista (US), Magnasoft (India), Bentley Systems (US), SafeGraph (US), CloudFactory (US).

Research coverage

This research report covers the geospatial analytics market and has been segmented based on offering, technology, data type, and vertical. The offering segment consist of software and services. The software segment contains software by type (geocoding & reverse geocoding, spatial data integration & ETL, reporting & visualization, thematic mapping & spatial analysis, location intelligence, other software types), software by deployment mode (cloud, on-premises), software by delivery model (SaaS, licensed software). The services segment consist of professional services (consulting, deployment & integration, support & maintenance, data-centric services) and managed services. The technology segment is bifurcated into sensors & scanning (LiDAR, radar, GPR/EML), global navigation satellite system (GNSS), GIS & earth observation, ML & advanced analytics (descriptive analytics, predictive analytics, prescriptive analytics, real-time analytics). The data type segment includes raster data, vector data, geotemporal data, 3D data, tabular data, other data types (acoustic, geophysical). The vertical segment consist of energy & utilities, government & defense, insurance & financial services, construction & real estate, automotive & transportation, healthcare & life sciences, mining, agriculture, and other verticals (retail & ecommerce, media & entertainment, education, and tourism). The regional analysis of the geospatial analytics market covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America. The report also contains detailed analysis for types of geospatial analytics techniques, stages in geospatial analytics, data sources in geospatial analytics, regulatory landscape, ecosystem analysis, supply chain analysis, pricing analysis, and technology analysis.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall geospatial analytics market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (The growing adoption of location-based services (LBS) across industries, Technological advancements in spatial data processing, Rising investments in smart cities and urban planning, and Increasing volume and variety of geospatial data), restraints (Substantial financial investments is hindering widespread geospatial analytics adoption, Infrastructure limitations in emerging markets will restrict global penetration, and Complexities in integrating and standardizing geospatial data), opportunities (Transformative urban planning and management through advanced spatial intelligence, Rising demand for autonomous vehicles and smart transportation systems, and Growing role of geospatial analytics in defense and national security), and challenges (Balancing innovation with privacy, security, and legal frameworks, Ensuring data quality and accuracy in geospatial analytics, and Addressing the critical human capital shortage for advanced geospatial analytics).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the geospatial analytics market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the geospatial analytics market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the geospatial analytics market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Google (US), Microsoft (US), IBM (US), Esri (US), Alteryx (US), Hexagon AB (Sweden), TomTom (Netherlands), Maxar Technologies (US), Trimble (US), Ouster (US), Precisely (US), Caliper Corporation (US), RMSI (India), MapLarge (US), General Electric (US), Innovez One (Singapore), Planet Labs (US), EarthDaily Analytics (US), Orbital Insights (US), Mapidea (Portugal), Geospin (Germany), Sparkgeo (Canada), Orbica (New Zealand), Carto (US), Mapbox (US), Blue Sky Analytics (Netherlands), Latitudo40 (Italy), Ecopia.AI (Canada), Spatial AI (US), Dista (US), Magnasoft (India), Bentley Systems (US), SafeGraph (US), CloudFactory (US), among others in the geospatial analytics market. The report also helps stakeholders understand the pulse of the geospatial analytics market and provides them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN GEOSPATIAL ANALYTICS MARKET
  • 4.2 GEOSPATIAL ANALYTICS MARKET - TOP THREE VERTICALS
  • 4.3 GEOSPATIAL ANALYTICS MARKET IN NORTH AMERICA: TOP THREE SOFTWARE TYPES AND VERTICALS
  • 4.4 GEOSPATIAL ANALYTICS MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing adoption of location-based services across industries
      • 5.2.1.2 Technological advancements in spatial data processing
      • 5.2.1.3 Rising investments in smart cities and urban planning
      • 5.2.1.4 Increasing volume and variety of geospatial data
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Substantial investment requirement
      • 5.2.2.2 Infrastructure limitations in emerging markets
      • 5.2.2.3 Complexities in integration and standardization of geospatial data
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Transforming urban planning and management
      • 5.2.3.2 Rising demand for autonomous vehicles and smart transportation systems
      • 5.2.3.3 Growing role in defense and national security
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Balancing innovation with privacy, security, and legal frameworks
      • 5.2.4.2 Ensuring data quality and accuracy
      • 5.2.4.3 Addressing critical human capital shortage
  • 5.3 CASE STUDY ANALYSIS
    • 5.3.1 ENERGY & UTILITY
      • 5.3.1.1 RMSI helps US-based electric and gas company enhance spatial accuracy
      • 5.3.1.2 Kaukauna Utilities (KU) transitions to ArcGIS Utility Network and implements GIS-based Electric Design Workflows
      • 5.3.1.3 Electric Authority of Cyprus deploys Oracle's solutions to increase application stability and resolve deadlocks
    • 5.3.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
      • 5.3.2.1 Bajaj FinServ implements Esri's Geospatial Platform solution to improve customer service
    • 5.3.3 AUTOMOTIVE & TRANSPORTATION
      • 5.3.3.1 Esri helps Carrefour establish global platform for geomarketing to monitor store performance
    • 5.3.4 EDUCATION
      • 5.3.4.1 Esri enables Chesley District Community School to engage students in geography classes
      • 5.3.4.2 University of Northampton implements GIS-based system to improve teaching and research capabilities
    • 5.3.5 HEALTHCARE & LIFE SCIENCES
      • 5.3.5.1 Sanitas implements CARTO's solutions to evaluate demographic landscapes and ensure expansion during site planning
    • 5.3.6 GOVERNMENT
      • 5.3.6.1 City of San Diego implements SAP solutions to strengthen emergency services
    • 5.3.7 REAL ESTATE & CONSTRUCTION
      • 5.3.7.1 Crown Estate implements GIS-based system to improve operations and reduce costs
  • 5.4 EVOLUTION OF GEOSPATIAL ANALYTICS
  • 5.5 ECOSYSTEM ANALYSIS
    • 5.5.1 GEOSPATIAL ANALYTICS SOFTWARE PROVIDERS
      • 5.5.1.1 Geocoding & reverse geocoding providers
      • 5.5.1.2 Spatial data integration & ETL providers
      • 5.5.1.3 Reporting & visualization providers
      • 5.5.1.4 Thematic mapping & spatial analysis providers
      • 5.5.1.5 Location intelligence providers
    • 5.5.2 GEOSPATIAL ANALYTICS SERVICE PROVIDERS
    • 5.5.3 CLOUD HYPERSCALERS
    • 5.5.4 GEOSPATIAL ANALYTICS TECHNOLOGY PROVIDERS
    • 5.5.5 END USERS
  • 5.6 IMPACT OF GENERATIVE AI ON GEOSPATIAL ANALYTICS MARKET
    • 5.6.1 TOP USE CASES AND MARKET POTENTIAL
      • 5.6.1.1 Key Use Cases
        • 5.6.1.1.1 Synthetic geospatial data generation
        • 5.6.1.1.2 Improved feature extraction from imagery
        • 5.6.1.1.3 Simulating environmental changes
        • 5.6.1.1.4 Enhanced geospatial data fusion
        • 5.6.1.1.5 Automated anomaly detection
        • 5.6.1.1.6 Virtual reality and simulation for training
  • 5.7 SUPPLY CHAIN ANALYSIS
    • 5.7.1 PLANNING & DESIGNING
    • 5.7.2 INFRASTRUCTURE DEPLOYMENT
    • 5.7.3 SYSTEM INTEGRATION
    • 5.7.4 DISTRIBUTORS/RESELLERS/VARS
    • 5.7.5 VERTICALS
  • 5.8 PRICING ANALYSIS
    • 5.8.1 INDICATIVE PRICING ANALYSIS, BY OFFERING
    • 5.8.2 INDICATIVE PRICING ANALYSIS, BY TECHNOLOGY
  • 5.9 PATENT ANALYSIS
    • 5.9.1 METHODOLOGY
    • 5.9.2 PATENTS FILED, BY DOCUMENT TYPE
    • 5.9.3 INNOVATION AND PATENT APPLICATIONS
  • 5.10 TECHNOLOGY ANALYSIS
    • 5.10.1 KEY TECHNOLOGIES
      • 5.10.1.1 Big Data Analytics
      • 5.10.1.2 Unmanned Vehicle Systems and Drones
      • 5.10.1.3 3D Modeling and Simulation
    • 5.10.2 COMPLEMENTARY TECHNOLOGIES
      • 5.10.2.1 Internet of Things
      • 5.10.2.2 Cloud Computing
      • 5.10.2.3 Blockchain
      • 5.10.2.4 Edge Computing
    • 5.10.3 ADJACENT TECHNOLOGIES
      • 5.10.3.1 Augmented Reality & Virtual Reality
      • 5.10.3.2 Digital Twin
      • 5.10.3.3 Cybersecurity
  • 5.11 GEOSPATIAL ANALYTICS TECHNIQUES
    • 5.11.1 SURFACE & FIELD ANALYTICS
    • 5.11.2 NETWORK & LOCATION ANALYTICS
    • 5.11.3 GEOVISUALIZATION
    • 5.11.4 GEOCOMPUTATION
    • 5.11.5 OTHER TYPES
  • 5.12 STAGES IN GEOSPATIAL ANALYTICS
    • 5.12.1 DATA CAPTURE
    • 5.12.2 DATA MANAGEMENT
    • 5.12.3 GEOSPATIAL ANALYTICS AND MODELING
    • 5.12.4 VISUALIZATION
  • 5.13 BUSINESS MODELS OF GEOSPATIAL ANALYTICS
    • 5.13.1 DATA-AS-A-SERVICE
    • 5.13.2 SOFTWARE-AS-A-SERVICE
    • 5.13.3 PLATFORM-AS-A-SERVICE
    • 5.13.4 ANALYTICS-AS-A-SERVICE
    • 5.13.5 MAPPING-AS-A-SERVICE
  • 5.14 DATA SOURCES IN GEOSPATIAL ANALYTICS
    • 5.14.1 SATELLITE IMAGERY
    • 5.14.2 AERIAL IMAGERY
    • 5.14.3 GIS DATA
    • 5.14.4 CROWD-SOURCED DATA
  • 5.15 PORTER'S FIVE FORCES ANALYSIS
    • 5.15.1 THREAT OF NEW ENTRANTS
    • 5.15.2 THREAT OF SUBSTITUTES
    • 5.15.3 BARGAINING POWER OF BUYERS
    • 5.15.4 BARGAINING POWER OF SUPPLIERS
    • 5.15.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 KEY CONFERENCES & EVENTS, 2024-2025
  • 5.17 REGULATORY LANDSCAPE
    • 5.17.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.17.2 REGULATORY FRAMEWORK
      • 5.17.2.1 North America
        • 5.17.2.1.1 Geospatial Data Act (GDA) of 2018 (US)
        • 5.17.2.1.2 Open Government Directive of 2014 (Canada)
      • 5.17.2.2 Europe
        • 5.17.2.2.1 INSPIRE Directive 2007/2 (European Commission)
        • 5.17.2.2.2 General Data Protection Regulation (European Union)
        • 5.17.2.2.3 The Copernicus Regulation 2021/696 (European Union)
      • 5.17.2.3 Asia Pacific
        • 5.17.2.3.1 Geospatial Information Regulation Act 2016 (India)
        • 5.17.2.3.2 Surveying and Mapping Law 2002, Revised 2017 (China)
        • 5.17.2.3.3 Basic Act on the Advancement of Utilizing Geospatial Information, 2007 (Japan)
      • 5.17.2.4 Middle East & Africa
        • 5.17.2.4.1 Survey and Mapping Law (Saudi Arabia)
        • 5.17.2.4.2 Spatial Data Infrastructure Act 54 of 2003 (South Africa)
      • 5.17.2.5 Latin America
        • 5.17.2.5.1 National Geospatial Data Infrastructure (INDE) Law (Brazil)
        • 5.17.2.5.2 Geospatial Data Law 2020 (Mexico)
  • 5.18 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.19 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.19.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.19.2 BUYING CRITERIA
  • 5.20 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    • 5.20.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS

6 GEOSPATIAL ANALYTICS MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: GEOSPATIAL ANALYTICS MARKET DRIVERS
  • 6.2 SOFTWARE
    • 6.2.1 LOCATION-BASED INSIGHTS FOR PRECISE AND ACCURATE DATA INTERPRETATION TO DRIVE MARKET
    • 6.2.2 SOFTWARE, BY TYPE
      • 6.2.2.1 Location-based data for informed and strategic decision-making
      • 6.2.2.2 Geocoding & Reverse Geocoding
      • 6.2.2.3 Spatial Data Integration & ETL
      • 6.2.2.4 Reporting & Visualization
      • 6.2.2.5 Thematic Mapping & Spatial Analysis
      • 6.2.2.6 Location Intelligence
      • 6.2.2.7 Other software types
    • 6.2.3 BY DEPLOYMENT MODE
      • 6.2.3.1 Cloud
        • 6.2.3.1.1 Enables organizations to access and process spatial data without extensive infrastructure
      • 6.2.3.2 On-premises
        • 6.2.3.2.1 Remains crucial for organizations that prioritize data security, control, and regulatory compliance
    • 6.2.4 BY DELIVERY MODEL
      • 6.2.4.1 Software-as-a-Service
        • 6.2.4.1.1 Offers flexibility, cost-efficiency, and ease of deployment
      • 6.2.4.2 Licensed Software
        • 6.2.4.2.1 Prioritize data security, customization, and control
  • 6.3 SERVICES
    • 6.3.1 ENABLE ORGANIZATIONS TO EFFECTIVELY IMPLEMENT, MANAGE, AND OPTIMIZE GEOSPATIAL SYSTEMS
    • 6.3.2 PROFESSIONAL SERVICES
      • 6.3.2.1 Consulting
        • 6.3.2.1.1 Provides expert guidance to businesses on solution selection, system design, and implementation strategies
      • 6.3.2.2 Deployment & Integration
        • 6.3.2.2.1 Help organizations transition from traditional methods to advanced geospatial solutions
      • 6.3.2.3 Support & Maintenance
        • 6.3.2.3.1 Ensure long-term reliability and optimal performance of geospatial systems
      • 6.3.2.4 Data-centric Services
        • 6.3.2.4.1 Help manage and optimize data throughout lifecycle
        • 6.3.2.4.2 Data acquisition & management
        • 6.3.2.4.3 Data analytics
        • 6.3.2.4.4 Data visualization
        • 6.3.2.4.5 Data conversion & migration
    • 6.3.3 MANAGED SERVICES

7 GEOSPATIAL ANALYTICS MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
    • 7.1.1 TECHNOLOGY: GEOSPATIAL ANALYTICS MARKET DRIVERS
  • 7.2 SENSORS & SCANNING
    • 7.2.1 ENABLE ACCURATE DATA COLLECTION AND VISUALIZATION OF SPATIAL ENVIRONMENTS
    • 7.2.2 LIDAR
    • 7.2.3 RADAR
    • 7.2.4 GPR/EML
  • 7.3 GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS)
    • 7.3.1 GNSS PROVIDES PRECISE POSITIONING, NAVIGATION, AND TIMING FOR ACCURATE MAPPING AND MONITORING
  • 7.4 GIS & EARTH OBSERVATION
    • 7.4.1 EMPOWER INDUSTRIES WITH REAL-TIME GEOSPATIAL INTELLIGENCE
  • 7.5 ML & ADVANCED ANALYTICS
    • 7.5.1 ENABLE DEEPER INSIGHTS THROUGH ADVANCED DATA PROCESSING TECHNIQUES
    • 7.5.2 DESCRIPTIVE ANALYTICS
    • 7.5.3 PREDICTIVE ANALYTICS
    • 7.5.4 PRESCRIPTIVE ANALYTICS
    • 7.5.5 REAL-TIME ANALYTICS

8 GEOSPATIAL ANALYTICS MARKET, BY DATA TYPE

  • 8.1 INTRODUCTION
    • 8.1.1 DATA TYPE: GEOSPATIAL ANALYTICS MARKET DRIVERS
  • 8.2 RASTER DATA
    • 8.2.1 EFFICIENT REMOTE SENSING, ENVIRONMENTAL MODELING, AND TERRAIN ANALYSIS - KEY DRIVERS
  • 8.3 VECTOR DATA
    • 8.3.1 SEGMENT DRIVEN BY ENHANCED DECISION-MAKING IN DISASTER RESPONSE, NETWORK OPTIMIZATION, AND LAND-USE PLANNING
  • 8.4 GEOTEMPORAL DATA
    • 8.4.1 TRACKING DISASTERS, OUTBREAKS, AND FAILURES FOR EFFECTIVE RESOURCE ALLOCATION - KEY FUNCTIONS
  • 8.5 3D DATA
    • 8.5.1 ENHANCED DECISION-MAKING AND RESOURCE MANAGEMENT - KEY DRIVERS
  • 8.6 TABULAR DATA
    • 8.6.1 URBAN PLANNING, ENVIRONMENTAL MONITORING, AND TRANSPORTATION LOGISTICS TO BOOST DEMAND
  • 8.7 OTHER DATA TYPES

9 GEOSPATIAL ANALYTICS MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICAL: GEOSPATIAL ANALYTICS MARKET DRIVERS
  • 9.2 ENERGY & UTILITIES
    • 9.2.1 ENHANCED OPERATIONAL EFFICIENCY AND SUSTAINABILITY TO DRIVE SEGMENT
    • 9.2.2 ASSET MANAGEMENT
    • 9.2.3 OUTAGE MANAGEMENT
    • 9.2.4 ENERGY DEMAND FORECASTING
    • 9.2.5 ENVIRONMENTAL IMPACT ASSESSMENTS
    • 9.2.6 GRID OPTIMIZATION
    • 9.2.7 OTHER APPLICATIONS
  • 9.3 GOVERNMENT & DEFENSE
    • 9.3.1 ENHANCED SURVEILLANCE FOR CRITICAL ASSET MONITORING TO BOOST GROWTH
    • 9.3.2 MILITARY & DEFENSE OPERATIONS
    • 9.3.3 BORDER SURVEILLANCE
    • 9.3.4 TERRAIN & THREAT ANALYSIS
    • 9.3.5 ENVIRONMENTAL MONITORING
    • 9.3.6 DISASTER MANAGEMENT & RESPONSE
    • 9.3.7 URBAN PLANNING & INFRASTRUCTURE DEVELOPMENT
    • 9.3.8 OTHER APPLICATIONS
  • 9.4 TELECOMMUNICATION
    • 9.4.1 INTEGRATION WITH 5G NETWORKS FOR OPTIMIZED COVERAGE TO DRIVE DEMAND
    • 9.4.2 NETWORK COVERAGE ANALYSIS & OPTIMIZATION
    • 9.4.3 5G INFRASTRUCTURE PLANNING
    • 9.4.4 TERRITORY PLANNING
    • 9.4.5 GEOMARKETING
    • 9.4.6 COMPLIANCE MONITORING
    • 9.4.7 OTHER APPLICATIONS
  • 9.5 INSURANCE & FINANCIAL SERVICES
    • 9.5.1 ANALYSIS OF ENVIRONMENTAL AND DEMOGRAPHIC DATA TO ASSESS RISKS - KEY DRIVER
    • 9.5.2 RISK ASSESSMENT
    • 9.5.3 CATASTROPHE MODELING
    • 9.5.4 POLICY PRICING OPTIMIZATION
    • 9.5.5 FRAUD DETECTION
    • 9.5.6 SUPPLY CHAIN INSURANCE
    • 9.5.7 OTHER APPLICATIONS
  • 9.6 REAL ESTATE & CONSTRUCTION
    • 9.6.1 ASSESSMENT OF TERRAIN, ENVIRONMENTAL CONDITIONS, AND SOCIO-ECONOMIC LANDSCAPE TO BOOST SEGMENT
    • 9.6.2 SITE SELECTION
    • 9.6.3 LAND SURVEYING & MAPPING
    • 9.6.4 REAL ESTATE MARKET ANALYSIS
    • 9.6.5 PROPERTY VALUATION
    • 9.6.6 CONSTRUCTION MONITORING
    • 9.6.7 OTHER APPLICATIONS
  • 9.7 AUTOMOTIVE & TRANSPORTATION
    • 9.7.1 PRECISE NAVIGATION, OBSTACLE DETECTION, AND IMPROVED SAFETY - KEY GROWTH FACTORS
    • 9.7.2 FLEET MANAGEMENT
    • 9.7.3 ROUTE OPTIMIZATION
    • 9.7.4 ACCIDENT ANALYSIS
    • 9.7.5 SMART PARKING & TOLLING
    • 9.7.6 AUTONOMOUS VEHICLE NAVIGATION
    • 9.7.7 OTHER APPLICATIONS
  • 9.8 HEALTHCARE & LIFE SCIENCES
    • 9.8.1 IMPROVED HEALTHCARE DELIVERY AND RESOURCE MANAGEMENT TO DRIVE ADOPTION
    • 9.8.2 DISEASE MAPPING
    • 9.8.3 HEALTH RESOURCE ALLOCATION
    • 9.8.4 EMERGENCY RESPONSE PLANNING
    • 9.8.5 MEDICAL & PUBLIC SAFETY
    • 9.8.6 DRUG DISTRIBUTION
    • 9.8.7 OTHER APPLICATIONS
  • 9.9 MINING
    • 9.9.1 INCREASED DEMAND FOR RESOURCE EFFICIENCY AND ENVIRONMENTAL SUSTAINABILITY TO DRIVE SEGMENT
    • 9.9.2 RESOURCE MAPPING
    • 9.9.3 LAND RESOURCE AND INVENTORY MANAGEMENT
    • 9.9.4 ENVIRONMENTAL MONITORING
    • 9.9.5 GEOLOGICAL HAZARD MAPPING
    • 9.9.6 MINING OPERATIONS MANAGEMENT
    • 9.9.7 OTHER APPLICATIONS
  • 9.10 AGRICULTURE
    • 9.10.1 ADVANCEMENTS IN HYPERSPECTRAL IMAGING AND AI - DRIVERS OF PRECISION AGRICULTURE INNOVATION
    • 9.10.2 SMART FARMING
    • 9.10.3 SOIL MAPPING
    • 9.10.4 CROP MONITORING
    • 9.10.5 IRRIGATION MANAGEMENT
    • 9.10.6 PEST AND DISEASE MANAGEMENT
    • 9.10.7 OTHER APPLICATIONS
  • 9.11 OTHER VERTICALS

10 GEOSPATIAL ANALYTICS MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    • 10.2.2 DRIVERS: GEOSPATIAL ANALYTICS MARKET IN NORTH AMERICA
    • 10.2.3 US
      • 10.2.3.1 Increasing adoption across various sectors to drive market
    • 10.2.4 CANADA
      • 10.2.4.1 Collaborative efforts by government and private sector to drive market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.2 DRIVERS: GEOSPATIAL ANALYTICS MARKET IN EUROPE
    • 10.3.3 UK
      • 10.3.3.1 Defense sector advancements to drive demand
    • 10.3.4 GERMANY
      • 10.3.4.1 Cloud-based GIS to propel geospatial innovation
    • 10.3.5 FRANCE
      • 10.3.5.1 Sustainable mining practices and GIS integration to drive environmental responsibility
    • 10.3.6 ITALY
      • 10.3.6.1 Growing adoption for urban planning and utility management to boost growth
    • 10.3.7 SPAIN
      • 10.3.7.1 Growing demand for location-based insights across diverse industries to drive growth
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    • 10.4.2 DRIVERS: GEOSPATIAL ANALYTICS MARKET IN ASIA PACIFIC
    • 10.4.3 CHINA
      • 10.4.3.1 Advancements in satellite technology and national security to drive growth
    • 10.4.4 JAPAN
      • 10.4.4.1 Increasing focus on disaster management and adoption of GIS-based mapping technologies to drive market growth
    • 10.4.5 INDIA
      • 10.4.5.1 Government initiatives and international partnerships to drive growth
    • 10.4.6 ASEAN COUNTRIES
      • 10.4.6.1 Regional collaboration and technological advancements to drive market
    • 10.4.7 AUSTRALIA & NEW ZEALAND
      • 10.4.7.1 Government collaboration and technological advancements to propel market
    • 10.4.8 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
    • 10.5.2 MIDDLE EAST & AFRICA: GEOSPATIAL ANALYTICS MARKET DRIVERS
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 Kingdom of Saudi Arabia
        • 10.5.3.1.1 Geospatial analytics - critical enabler for urban planning, infrastructure, energy, and environmental management
      • 10.5.3.2 UAE
        • 10.5.3.2.1 Geospatial data leveraged for projects such as Smart Dubai and Abu Dhabi's TAMM platform
      • 10.5.3.3 Turkey
        • 10.5.3.3.1 Government initiatives to integrate geospatial technologies into environmental monitoring - key driver
      • 10.5.3.4 Qatar
        • 10.5.3.4.1 Government efforts for sustainable urban development to boost market
      • 10.5.3.5 Rest of Middle East
    • 10.5.4 AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.2 LATIN AMERICA: GEOSPATIAL ANALYTICS MARKET DRIVERS
    • 10.6.3 BRAZIL
      • 10.6.3.1 Initiatives like National Institute for Space Research to monitor Amazon and other critical ecosystems to boost market
    • 10.6.4 MEXICO
      • 10.6.4.1 Strategic push for nearshoring and focus on environmental sustainability amplify demand
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Focus on space-based data analytics enhances competitiveness in global market
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN
  • 11.3 REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    • 11.4.1 MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
    • 11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY OFFERING
      • 11.5.1.1 Geospatial Analytics (Google)
      • 11.5.1.2 ArcGIS Spatial Analyst (Esri)
      • 11.5.1.3 Location Intelligence (TomTom)
      • 11.5.1.4 GeoMedia (Hexagon AB)
      • 11.5.1.5 Office Software (Trimble)
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.7.1 STARS
    • 11.7.2 EMERGING LEADERS
    • 11.7.3 PERVASIVE PLAYERS
    • 11.7.4 PARTICIPANTS
    • 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 11.7.5.1 Company Footprint
      • 11.7.5.2 Region Footprint
      • 11.7.5.3 Offering Footprint
      • 11.7.5.4 Technology Footprint
      • 11.7.5.5 Vertical Footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.8.1 PROGRESSIVE COMPANIES
    • 11.8.2 RESPONSIVE COMPANIES
    • 11.8.3 DYNAMIC COMPANIES
    • 11.8.4 STARTING BLOCKS
    • 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.8.5.1 Detailed List of Key Startups/SMEs
      • 11.8.5.2 Competitive Benchmarking of Key Startups/SMEs
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    • 11.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    • 12.2.1 GOOGLE
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Product launches & enhancements
        • 12.2.1.3.2 Deals
      • 12.2.1.4 MnM view
        • 12.2.1.4.1 Key strengths
        • 12.2.1.4.2 Strategic choices
        • 12.2.1.4.3 Weaknesses and competitive threats
    • 12.2.2 IBM
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Product launches & enhancements
        • 12.2.2.3.2 Deals
      • 12.2.2.4 MnM view
        • 12.2.2.4.1 Key strengths
        • 12.2.2.4.2 Strategic choices
        • 12.2.2.4.3 Weaknesses and competitive threats
    • 12.2.3 ALTERYX
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product launches & enhancements
        • 12.2.3.3.2 Deals
      • 12.2.3.4 MnM view
        • 12.2.3.4.1 Key strengths
        • 12.2.3.4.2 Strategic choices
        • 12.2.3.4.3 Weaknesses and competitive threats
    • 12.2.4 HEXAGON AB
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
        • 12.2.4.3.1 Product launches & enhancements
        • 12.2.4.3.2 Deals
      • 12.2.4.4 MnM view
        • 12.2.4.4.1 Key strengths
        • 12.2.4.4.2 Strategic choices
        • 12.2.4.4.3 Weaknesses and competitive threats
    • 12.2.5 TOMTOM
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
        • 12.2.5.3.1 Product launches & enhancements
        • 12.2.5.3.2 Deals
      • 12.2.5.4 MnM view
        • 12.2.5.4.1 Key strengths
        • 12.2.5.4.2 Strategic choices
        • 12.2.5.4.3 Weaknesses and competitive threats
    • 12.2.6 MAXAR TECHNOLOGIES
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Solutions/Services offered
      • 12.2.6.3 Recent developments
        • 12.2.6.3.1 Deals
    • 12.2.7 TRIMBLE
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Product launches & enhancements
        • 12.2.7.3.2 Deals
    • 12.2.8 CALIPER CORPORATION
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Product launches & enhancements
    • 12.2.9 PRECISELY
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
        • 12.2.9.3.1 Product launches & enhancements
        • 12.2.9.3.2 Deals
    • 12.2.10 ESRI
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Product launches & enhancements
        • 12.2.10.3.2 Deals
    • 12.2.11 MICROSOFT
      • 12.2.11.1 Business overview
      • 12.2.11.2 Products/Solutions/Services offered
      • 12.2.11.3 Recent developments
        • 12.2.11.3.1 Product launches & enhancements
        • 12.2.11.3.2 Deals
    • 12.2.12 BENTLEY SYSTEMS
      • 12.2.12.1 Business overview
      • 12.2.12.2 Products/Solutions/Services offered
      • 12.2.12.3 Recent developments
        • 12.2.12.3.1 Product launches
        • 12.2.12.3.2 Deals
  • 12.3 OTHER PLAYERS
    • 12.3.1 OUSTER
    • 12.3.2 RMSI
    • 12.3.3 MAPLARGE
    • 12.3.4 GENERAL ELECTRIC
    • 12.3.5 FUGRO
    • 12.3.6 PLANET LABS
    • 12.3.7 CLOUDFACTORY
  • 12.4 STARTUPS/SMES
    • 12.4.1 EARTHDAILY ANALYTICS
    • 12.4.2 HEAVY.AI
    • 12.4.3 MAPIDEA
    • 12.4.4 GEOSPIN
    • 12.4.5 SPARKGEO
    • 12.4.6 ORBICA
    • 12.4.7 CARTO
    • 12.4.8 MAPBOX
    • 12.4.9 BLUE SKY ANALYTICS
    • 12.4.10 LATITUDO40
    • 12.4.11 ECOPIA.AI
    • 12.4.12 SPATIAL.AI
    • 12.4.13 DISTA
    • 12.4.14 EOS DATA ANALYTICS
    • 12.4.15 MAGNASOFT
    • 12.4.16 SAFEGRAPH
    • 12.4.17 BSMA ENTERPRISES

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 LOCATION ANALYTICS MARKET - GLOBAL FORECAST TO 2028
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Location Analytics Market, by Offering
      • 13.2.2.2 Location Analytics Market, by Location Type
      • 13.2.2.3 Location Analytics Market, by Application
      • 13.2.2.4 Location Analytics Market, by Vertical
      • 13.2.2.5 Location Analytics Market, by region
  • 13.3 LOCATION-BASED SERVICES (LBS) MARKET - GLOBAL FORECAST TO 2028
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 LBS and RTLS Market, by Offering
      • 13.3.2.2 LBS and RTLS Market, by Location Type
      • 13.3.2.3 LBS and RTLS Market, by Application
      • 13.3.2.4 LBS and RTLS Market, by Vertical
      • 13.3.2.5 LBS and RTLS Market, by Region

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 AVAILABLE CUSTOMIZATIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
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