지리공간 분석 시장 : 업계 동향과 세계 예측(-2035년) - 컴포넌트 유형별, 기술 유형별, 배포 유형별, 조직 규모별, 업계별, 지역별

Geospatial Analytics Market Overview

As per Roots Analysis, the global geospatial analytics market size is estimated to grow from USD 93.49 billion in the current year to USD 362.45 billion by 2035, at a CAGR of 13.11% during the forecast period, till 2035.

The opportunity for geospatial analytics market has been distributed across the following segments:

Type of Component

• Solution
• Data Integration and ETL
• Geocoding and Reverse Geocoding
• Thematic Mapping and Spatial Analysis
• Others
• Service
• Consulting Services
• Deployment & Integration
• Training, Support, and Maintenance

Type of Technology

• GIS
• GPS
• Remote Sensing
• Others

Type of Deployment

• Cloud-based
• On-Premises

Organization Size

• Large Enterprises
• Small and Medium Enterprises (SMEs)

Type of Vertical

• Agriculture
• Automotive & Transportation
• BFSI
• Defense & Intelligence
• Education
• Energy & Utility
• Government
• Healthcare & Life Science
• Logistics & Supply Chain
• Mining & Natural Resources
• Real Estate & Construction
• Security
• Others

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

Geospatial Analytics Market: Growth and Trends

Geospatial analytics involves the interpretation of information based on specific geographical coordinates on the Earth's surface. Generally, geospatial data includes coordinate regions, addresses, GPS data, and satellite imagery to examine patterns, relationships, and trends within a particular area. This form of analysis is often represented through maps or 3D models, which aid users in comprehending the spatial aspects of the information. Moreover, geospatial analytics adds a temporal and locational context to traditional data types, providing a more comprehensive understanding of events. With ongoing technological advancements, companies specializing in geospatial analytics can process vast amounts of geographic and geometric data in real-time using big data techniques.

The initial geographic information system (GIS) was implemented in Canada in the 1960s for the purpose of cataloging natural resources. However, present-day geospatial analysis is being employed for a wide range of applications across various sectors, including telecommunications, military operations, weather forecasting, modeling, natural resource exploration, population predictions, and sales analysis. Additionally, geospatial techniques aid the manufacturing and transportation industries by enhancing logistics and supply chain operations, allowing organizations to visualize optimal routing and business practices.

Furthermore, the rising demand for location-based services has created new opportunities for growth within the geospatial analytics market, which provides more accurate location tracking and insights into consumer behavior. Consequently, to enhance personalized customer experiences and streamline operations, businesses across diverse sectors such as retail, marketing, and healthcare are increasingly adopting location-based services, driving market demand. Geospatial analytics solutions also contribute to tracking environmental changes, managing natural resources, and tackling climate-related challenges. Additionally, the development of smart cities and urban planning initiatives, along with significant applications in agriculture, are key factors that are expected to drive the market significantly during the forecast period.

Geospatial Analytics Market: Key Segments

Market Share by Type of Component

Based on type of component, the global geospatial analytics market is segmented into solutions and services According to our estimates, currently, the solution segment captures the majority of the market share. Offerings such as geographic information systems, remote sensing technologies, and predictive modeling tools deliver specific functionalities tailored for businesses and analyze spatial data to support decision-making across various sectors including defense, agriculture, and transportation, driving growth in this segment.

However, the services segment is expected to grow at a higher CAGR throughout the forecast period, driven the increasing need for skilled professionals and technicians to effectively utilize these solutions.

Market Share by Type of Technology

Based on type of technology, the global geospatial analytics market is segmented into GIS, GPS, remote sensing, and others. According to our estimates, currently, the geographic information system (GIS) technology segment captures the majority of the market share. This can be attributed to the widespread acceptance of GIS technology, fueled by its capabilities in location-based analytics, its flexibility in mapping, and integration with AI and remote sensing.

However, the remote sensing segment is expected to grow at a higher CAGR throughout the forecast period, due to improvements in sensor technology, greater availability of data, and the need for real-time monitoring, which drive demand for this technology in the field of geospatial analytics.

Market Share by Type of Deployment

Based on type of deployment, the global geospatial analytics market is segmented into cloud-based and on-premises. According to our estimates, currently, the cloud-based deployment captures the majority of the market share. This can be attributed to its accessibility, ease of collaboration with other technologies, along with its scalability, flexibility, and cost-effectiveness.

However, the on-premises deployment is expected to grow at a higher CAGR during the forecast period, driven by its advantages in enhanced security.

Market Share by Organization Size

Based on organization size, the global geospatial analytics market is segmented into large enterprises and small and medium-sized enterprises. According to our estimates, currently, the large enterprises capture the majority of the market share. This can be attributed to the abundance of resources and investment that large enterprises possess enables them to invest in infrastructure, software, and skilled personnel necessary for managing substantial spatial data.

However, the small and medium enterprises are expected to grow at a higher CAGR during the forecast period. This can be attributed to the increasing availability of cloud-based solutions and specialized applications with tailored offerings.

Market Share by Type of Vertical

Based on type of vertical, the global geospatial analytics market is segmented into agriculture, automotive & transportation, BFSI, defense & intelligence, education, energy & utility, government, healthcare & life science, logistics & supply chain, mining & natural resources, real estate & construction, security, and others. According to our estimates, currently, the defense and intelligence sector captures the majority of the market share. This can be attributed to the significant demand for spatial data for mission planning, border surveillance, and monitoring of conflict zones.

However, the logistics supply chain sector is expected to grow at a higher CAGR during the forecast period. This can be attributed to the increasing demand for location-based services in the retail sector.

Market Share by Geographical Regions

Based on geographical regions, the geospatial analytics market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market. However, the market in Asia is expected to grow at a higher CAGR during the forecast period, due to rapid urbanization, the implementation of smart city initiatives, growth in the agriculture sector, and government investments in geospatial technologies.

Example Players in Geospatial Analytics Market

• Alphabet
• Alteryx
• Blue Marble Geographic
• Calipar
• CARTO
• Descartes Lab
• Esri Global
• Fugro
• General Electric
• Geomatic Consulting
• GIS
• HERE Global
• Hexagon
• Maplarge
• Microsoft
• Oracle
• Orbica
• Orbital Insights
• Pasco
• Precisely Holdings
• RMSI
• Skymap Global
• TomTom International
• Trimble

Geospatial Analytics Market: Research Coverage

The report on the geospatial analytics market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the geospatial analytics market, focusing on key market segments, including [A] type of component, [B] type of technology, [C] type of deployment, [D] organization size, [E] type of vertical, [F] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the geospatial analytics market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the geospatial analytics market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] geospatial analytics portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
• Value Chain Analysis: A comprehensive analysis of the value chain, providing information on the different phases and stakeholders involved in the geospatial analytics market.

Key Questions Answered in this Report

• How many companies are currently engaged in geospatial analytics market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

Additional Benefits

• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 15% Free Content Customization
• Detailed Report Walkthrough Session with Research Team
• Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Geospatial Analytics Market
  • 6.2.1. Type of Component
  • 6.2.2. Type of Technology
  • 6.2.3. Type of Deployment
  • 6.2.4. Type of Organization Size
  • 6.2.5. Type of Vertical
• 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

• 7.1. Chapter Overview
• 7.2. Geospatial Analytics: Overall Market Landscape
  • 7.2.1. Analysis by Year of Establishment
  • 7.2.2. Analysis by Company Size
  • 7.2.3. Analysis by Location of Headquarters
  • 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

• 8.1. Chapter Overview
• 8.2. Alphabet*
  • 8.2.1. Company Overview
  • 8.2.2. Company Mission
  • 8.2.3. Company Footprint
  • 8.2.4. Management Team
  • 8.2.5. Contact Details
  • 8.2.6. Financial Performance
  • 8.2.7. Operating Business Segments
  • 8.2.8. Service / Product Portfolio (project specific)
  • 8.2.9. MOAT Analysis
  • 8.2.10. Recent Developments and Future Outlook
• 8.3. Alteryx
• 8.4. Blue Marble Geographic
• 8.5. Caliper
• 8.6. CARTO
• 8.7. Descartes Lab
• 8.8. Esri Global
• 8.9. Fugro
• 8.10. General Electric
• 8.11. Geomatic Consulting
• 8.12. GIS
• 8.13. Here Global
• 8.14. Hexagon
• 8.15. Maplarge
• 8.16. Microsoft
• 8.17. Oracle
• 8.18. Orbica
• 8.19. Orbital Insights
• 8.20. Precisely Holdings
• 8.21. RMSI
• 8.22. SkyMap
• 8.23. TomTom
• 8.24. Trimble

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL GEOSPATIAL ANALYTICS MARKET

• 11.1. Chapter Overview
• 11.2. Key Assumptions and Methodology
• 11.3. Trends Disruption Impacting Market
• 11.4. Global Geospatial Analytics Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 11.5. Multivariate Scenario Analysis
  • 11.5.1. Conservative Scenario
  • 11.5.2. Optimistic Scenario
• 11.6. Key Market Segmentations

12. MARKET OPPORTUNITIES BASED ON TYPE OF COMPONENT

• 12.1. Chapter Overview
• 12.2. Key Assumptions and Methodology
• 12.3. Revenue Shift Analysis
• 12.4. Market Movement Analysis
• 12.5. Penetration-Growth (P-G) Matrix
• 12.6. Geospatial Analytics Market for Solutions: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.7. Geospatial Analytics Market for Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.8. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 13.1 Chapter Overview
• 13.2. Key Assumptions and Methodology
• 13.3. Revenue Shift Analysis
• 13.4. Market Movement Analysis
• 13.5. Penetration-Growth (P-G) Matrix
• 13.6. Geospatial Analytics Market for GIS: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.7. Geospatial Analytics Market for GPS: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.8. Geospatial Analytics Market for Remote Sensing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.9. Geospatial Analytics Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.10. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT

• 14.1. Chapter Overview
• 14.2. Key Assumptions and Methodology
• 14.3. Revenue Shift Analysis
• 14.4. Market Movement Analysis
• 14.5. Penetration-Growth (P-G) Matrix
• 14.6. Geospatial Analytics Market for Cloud-Based: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.7. Geospatial Analytics Market for On-Premises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.8. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON ORGANIZATION SIZE

• 15.1. Chapter Overview
• 15.2. Key Assumptions and Methodology
• 15.3. Revenue Shift Analysis
• 15.4. Market Movement Analysis
• 15.5. Penetration-Growth (P-G) Matrix
• 15.6. Geospatial Analytics Market for Large Enterprises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.7. Geospatial Analytics Market for Small and Medium Enterprises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.8. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF VERTICAL

• 16.1. Chapter Overview
• 16.2. Key Assumptions and Methodology
• 16.3. Revenue Shift Analysis
• 16.4. Market Movement Analysis
• 16.5. Penetration-Growth (P-G) Matrix
• 16.6. Geospatial Analytics Market for Agriculture: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.7. Geospatial Analytics Market for Automotive & Transportation: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.8. Geospatial Analytics Market for BFSI: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.9. Geospatial Analytics Market for Defense & Intelligence: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.10. Geospatial Analytics Market for Education: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.11. Geospatial Analytics Market for Energy & Utility: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.12. Geospatial Analytics Market for Government: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.13. Geospatial Analytics Market for Healthcare & Life Science: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.14. Geospatial Analytics Market for Logistics & Supply Chain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.15. Geospatial Analytics Market for Mining & Natural Resources: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.16. Geospatial Analytics Market for Construction: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.17. Geospatial Analytics Market for Security: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.18. Geospatial Analytics Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.19. Data Triangulation and Validation

17. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN NORTH AMERICA

• 17.1. Chapter Overview
• 17.2. Key Assumptions and Methodology
• 17.3. Revenue Shift Analysis
• 17.4. Market Movement Analysis
• 17.5. Penetration-Growth (P-G) Matrix
• 17.6. Geospatial Analytics Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.1. Geospatial Analytics Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.2. Geospatial Analytics Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.3. Geospatial Analytics Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.4. Geospatial Analytics Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.7. Data Triangulation and Validation

18. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN EUROPE

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Revenue Shift Analysis
• 18.4. Market Movement Analysis
• 18.5. Penetration-Growth (P-G) Matrix
• 18.6. Geospatial Analytics Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.1. Geospatial Analytics Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.2. Geospatial Analytics Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.3. Geospatial Analytics Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.4. Geospatial Analytics Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.5. Geospatial Analytics Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.6. Geospatial Analytics Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.7. Geospatial Analytics Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.8. Geospatial Analytics Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.9. Geospatial Analytics Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.10. Geospatial Analytics Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.11. Geospatial Analytics Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.12. Geospatial Analytics Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.13. Geospatial Analytics Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.14. Geospatial Analytics Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.15. Geospatial Analytics Marketing Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. Data Triangulation and Validation

19. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN ASIA

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Geospatial Analytics Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.1. Geospatial Analytics Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.2. Geospatial Analytics Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.3. Geospatial Analytics Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.4. Geospatial Analytics Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.5. Geospatial Analytics Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.6. Geospatial Analytics Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. Data Triangulation and Validation

20. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Geospatial Analytics Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.1. Geospatial Analytics Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 20.6.2. Geospatial Analytics Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.3. Geospatial Analytics Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.4. Geospatial Analytics Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.5. Geospatial Analytics Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.6. Geospatial Analytics Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.7. Geospatial Analytics Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.8. Geospatial Analytics Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN LATIN AMERICA

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Geospatial Analytics Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.1. Geospatial Analytics Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.2. Geospatial Analytics Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.3. Geospatial Analytics Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.4. Geospatial Analytics Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.5. Geospatial Analytics Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.6. Geospatial Analytics Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR GEOSPATIAL ANALYTICS IN REST OF THE WORLD

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Geospatial Analytics Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.1. Geospatial Analytics Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.2. Geospatial Analytics Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.3. Geospatial Analytics Market in Other Countries
• 22.7. Data Triangulation and Validation

23. TABULATED DATA

24. LIST OF COMPANIES AND ORGANIZATIONS

25. CUSTOMIZATION OPPORTUNITIES

26. ROOTS SUBSCRIPTION SERVICES

27. AUTHOR DETAIL