시장보고서
상품코드
1986844

위치 분석 시장 규모, 점유율, 동향 및 예측 : 구성요소, 도입 형태, 로케이션 종류, 용도, 최종 이용 산업 및 지역별(2026-2034년)

Location Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Location Type, Application, End Use Industry, and Region, 2026-2034

발행일: | 리서치사: 구분자 IMARC | 페이지 정보: 영문 144 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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

2025년의 세계 위치 분석 시장 규모는 307억 달러로 평가되었습니다. 향후 IMARC Group은 2026년부터 2034년까지 CAGR 13.12%를 기록하며 2034년까지 시장 규모가 931억 3,000만 달러에 달할 것으로 예측하고 있습니다. 현재 북미가 시장을 주도하고 있으며, 2025년에는 30%의 시장 점유율을 차지했습니다. 이 지역은 첨단 디지털 인프라, 지리공간 기술의 조기 도입, 주요 기술 제공업체의 강력한 입지, 소매, 물류, 의료 분야에서의 위치 기반 솔루션의 광범위한 통합 등의 이점을 누리고 있으며, 이 모든 것이 위치 분석 시장 점유율 확대에 기여하고 있습니다.

사물인터넷(IoT) 기기와 연결된 센서의 보급이 증가함에 따라 방대한 양의 공간 데이터가 생성되고 있으며, 이는 실시간으로 지리적 공간 정보를 처리하고 해석할 수 있는 고급 위치 분석 플랫폼에 대한 수요를 촉진하고 있습니다. 또한, 개인화된 상황인지형 참여 전략을 통한 고객 경험 향상에 대한 관심이 높아지면서 기업들은 타겟 마케팅, 매장 레이아웃 최적화, 서비스 제공 개선을 위해 위치 정보를 활용하고 있습니다. 또한, 공급망 가시화 및 차량 관리 최적화에 대한 요구가 증가함에 따라 운송, 물류, 제조 부문의 조직들이 위치 기반 분석 솔루션에 투자하고 있으며, 이는 위치 분석 시장의 성장을 촉진하고 있습니다.

미국은 여러 요인으로 인해 위치 분석 시장의 주요 지역으로 부상하고 있습니다. 이 나라는 강력한 디지털 인프라, 높은 스마트폰 보급률, 광범위한 무선 네트워크 커버리지를 통해 원활한 위치 데이터 수집 및 분석을 지원하는 고도로 발달된 기술 생태계의 혜택을 누리고 있습니다. 2026년 2월, Palantir Technologies는 미국 국토안보부(Department of Homeland Security)와 5년간 최대 10억 달러 규모의 계약을 체결하여 연방 정부 기관에서 고급 AI 및 데이터 분석 플랫폼의 활용을 확대하는 한편, 지리적 공간 및 상황 분석 분야에서의 입지를 강화하기로 했습니다. 지리적 공간 정보 및 공간 분석을 전문으로 하는 선도적인 기술 기업과 혁신적인 스타트업의 강력한 존재감은 이 지역의 제품 개발을 가속화하고 경쟁에서 우위를 점할 수 있도록 돕고 있습니다.

위치 분석 시장 동향:

인공지능(AI) 통합의 진전

위치 분석 플랫폼에 인공지능(AI) 및 머신러닝(ML) 기능이 통합됨에 따라 조직이 공간 데이터에서 실용적인 인사이트를 도출하는 방식이 변화하고 있습니다. 고급 AI 알고리즘은 지리적 공간 데이터세트에서 패턴 인식, 예측 모델링, 이상 징후를 자동으로 감지하여 기업이 소비자 행동을 예측하고, 배송 경로를 최적화하며, 새로운 수요의 핫스팟을 정확하게 파악할 수 있도록 돕습니다. 2026년 1월, 지리 공간 기술 기업 스카이파이(SkyFi)는 위성 이미지 및 분석 플랫폼 확장을 위해 1,270만 달러의 시리즈 A 펀딩을 유치했습니다. 이는 산업을 막론하고 AI 기반 공간 데이터 솔루션에 대한 투자자들의 신뢰가 높아지고 있음을 반영합니다. ML 모델은 과거 위치 데이터와 실시간 입력을 함께 처리하여 분석 정확도를 지속적으로 향상시키고, 변화하는 시장 상황에 적응하며 점점 더 정교한 공간 인텔리전스를 만들어내고 있습니다.

실내 측위 기술 확대

블루투스 저에너지(BLE) 비콘, 초광대역(UWB) 센서, Wi-Fi 기반 삼각측량 시스템 등 실내 측위 기술의 급속한 발전으로 위치 정보 분석의 범위와 응용 분야는 기존의 실외 환경을 넘어 크게 확대되고 있습니다. 이러한 기술을 통해 쇼핑몰, 공항, 병원, 창고 등 밀폐된 공간 내 이동 패턴을 정확하게 추적하고 분석하여 조직에 유동인구, 체류시간, 점유율에 대한 상세한 인사이트를 제공합니다. 2025년 11월, 이탈리아의 실내 측위 기업 넥스톰(Nextome)은 실내 측위 및 내비게이션 기술 분야의 세계 리더로 다시 한 번 인정받았으며, BLE, UWB, Wi-Fi의 하이브리드 솔루션에 대한 지속적인 혁신과 도입이 업계 전반에 걸쳐 강조되었습니다. 측위 하드웨어의 소형화, 센서 비용의 하락으로 실내 위치 정보 분석이 중규모 도입에서도 경제적으로 실현 가능해지면서 위치정보 분석 시장의 전망은 더욱 밝아지고 있습니다.

지리적 공간 프라이버시 솔루션에 대한 수요 증가

데이터 프라이버시와 소비자 보호에 대한 규제 당국의 관심이 높아지면서, 분석 기능과 엄격한 데이터 거버넌스 요구사항의 균형을 유지하면서 프라이버시를 준수하는 위치정보 분석 솔루션에 대한 수요가 크게 증가하고 있습니다. 개인 위치 데이터의 수집, 저장, 처리를 규제하는 법규에 따라 조직은 공간 분석 워크플로우에서 익명화 기술, 차등 프라이버시 프레임워크 및 동의 관리 시스템을 도입해야 합니다. 2026년 1월, 컨슈머리포트는 정확한 위치정보의 수집과 상업적 판매를 제한하는 '주 위치정보 프라이버시법' 모델안을 제안하여 프라이버시 보호 단체의 지지를 얻었으며, 미국 주정부 규제에 영향을 미쳤습니다. 또한, 기밀성이 높은 위치 정보를 중앙 집중화하지 않고도 공동 공간 분석을 가능하게 하는 페더레이션 러닝(분산 학습) 접근법의 등장은 데이터의 기밀성이 최우선시되는 의료 및 금융 서비스 분야에서 주목받고 있으며, 이는 위치 정보 분석 시장의 트렌드를 반영하고 있습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 주요 요약

제4장 소개

제5장 세계의 위치 분석 시장

제6장 시장 내역 : 구성요소별

제7장 시장 내역 : 도입 형태별

제8장 시장 내역 : 설치 장소별

제9장 시장 내역 : 용도별

제10장 시장 내역 : 최종 이용 산업별

제11장 시장 내역 : 지역별

제12장 SWOT 분석

제13장 밸류체인 분석

제14장 Porter's Five Forces 분석

제15장 가격 분석

제16장 경쟁 구도

KSM 26.04.13

The global location analytics market size was valued at USD 30.70 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 93.13 Billion by 2034, exhibiting a CAGR of 13.12% from 2026-2034. North America currently dominates the market, holding a market share of 30% in 2025. The region benefits from advanced digital infrastructure, early adoption of geospatial technologies, strong presence of leading technology providers, and widespread integration of location-based solutions across retail, logistics, and healthcare sectors, all contributing to the location analytics market share.

The rising proliferation of Internet of Things (IoT) devices and connected sensors is generating massive volumes of spatial data, which is propelling the demand for advanced location analytics platforms capable of processing and interpreting geospatial information in real time. Moreover, the growing emphasis on enhancing customer experiences through personalized and context-aware engagement strategies is encouraging enterprises to leverage location intelligence for targeted marketing, optimized store layouts, and improved service delivery. Furthermore, the increasing need for real-time supply chain visibility and fleet management optimization is driving organizations across transportation, logistics, and manufacturing sectors to invest in location-based analytical solutions, fueling the location analytics market growth.

The United States has emerged as a major region in the location analytics market owing to many factors. The country benefits from a highly developed technology ecosystem characterized by robust digital infrastructure, widespread smartphone penetration, and extensive wireless network coverage that supports seamless location data collection and analysis. In February 2026, Palantir Technologies secured a five-year, up to $1 billion contract with the U.S. Department of Homeland Security to expand use of its advanced AI and data analytics platforms across federal agencies, strengthening its geospatial and situational analytics footprint. The strong presence of major technology corporations and innovative startups specializing in geospatial intelligence and spatial analytics is accelerating product development and driving competitive advancements in the region.

LOCATION ANALYTICS MARKET TRENDS:

Growing Integration of Artificial Intelligence

The increasing integration of artificial intelligence (AI) and machine learning (ML) capabilities into location analytics platforms is transforming how organizations derive actionable insights from spatial data. Advanced AI algorithms enable automated pattern recognition, predictive modeling, and anomaly detection within geospatial datasets, allowing businesses to anticipate consumer behavior, optimize delivery routes, and identify emerging demand hotspots with unprecedented accuracy. In January 2026, the geospatial technology firm SkyFi raised $12.7 million in a Series A funding round to expand its satellite imagery and analytics platform, reflecting broader investor confidence in AI-driven spatial data solutions across industries. ML models continuously improve their analytical precision by processing historical location data alongside real-time inputs, creating increasingly sophisticated spatial intelligence that adapts to changing market conditions.

Expansion of Indoor Positioning Technologies

The rapid advancement of indoor positioning technologies, including Bluetooth Low Energy (BLE) beacons, ultra-wideband (UWB) sensors, and Wi-Fi-based triangulation systems, is significantly expanding the scope and application of location analytics beyond traditional outdoor environments. These technologies enable precise tracking and analysis of movement patterns within enclosed spaces such as shopping malls, airports, hospitals, and warehouses, providing organizations with granular insights into foot traffic, dwell times, and occupancy levels. In November 2025, the Italian indoor positioning firm Nextome was again recognized as a global leader in indoor positioning and navigation technologies, highlighting continued innovation and adoption of BLE, UWB, and Wi-Fi hybrid solutions across industries. The continued miniaturization of positioning hardware and declining sensor costs are making indoor location analytics economically viable for medium-scale deployments, strengthening the location analytics market outlook.

Rising Demand for Geospatial Privacy Solutions

The escalating regulatory focus on data privacy and consumer protection is driving significant demand for privacy-compliant location analytics solutions that balance analytical capabilities with stringent data governance requirements. Regulations governing the collection, storage, and processing of personal location data are compelling organizations to adopt anonymization techniques, differential privacy frameworks, and consent management systems within their spatial analytics workflows. In January 2026, Consumer Reports proposed a model State Location Privacy Act restricting collection and commercial sale of precise geolocation data, gaining endorsements from privacy groups and influencing U.S. state regulations. Additionally, the emergence of federated learning approaches that enable collaborative spatial analysis without centralizing sensitive location data is gaining traction across healthcare and financial services sectors, where data sensitivity is paramount, reflecting evolving location analytics market trends.

LOCATION ANALYTICS INDUSTRY SEGMENTATION:

Analysis by Component:

  • Software
  • Services

Software holds 55% of the market share, encompassing geospatial platforms, geographic information systems, spatial data visualization tools, and real-time mapping applications that enable organizations to collect, process, and interpret location-based data. The dominance of the software segment is driven by the increasing enterprise demand for scalable analytical platforms that integrate seamlessly with existing business intelligence infrastructure and customer relationship management systems. As per sources, California-based startup Felt raised $15 million to expand its AI-driven geospatial mapping platform, adopted by insurers, emergency responders, and energy companies for custom location analytics. Organizations across diverse industries are prioritizing software investments to harness spatial data for strategic decision-making, including site selection, market penetration analysis, and competitive benchmarking. The growing availability of cloud-native software solutions is lowering implementation complexity and enabling rapid deployment, which is particularly attractive to small and mid-sized enterprises seeking cost-effective access to advanced geospatial capabilities.

Analysis by Deployment Mode:

  • On-premises
  • Cloud-based

Cloud-based currently leads the market with a share of 60%, due to the inherent advantages of cloud-based solutions over traditional on-premises solutions. Cloud-based solutions allow organizations to process large amounts of geospatial data without having to invest a substantial amount of capital in hardware infrastructure, making advanced spatial analytics more accessible to organizations of all sizes. The cloud-based pricing model also eliminates financial constraints and allows organizations to scale their analytical capabilities in line with their business needs. Cloud-based solutions also make it easy to integrate with other third-party sources, application programming interfaces, and enterprise software ecosystems, making the overall utility of location analytics more accessible across various operational workflows. The ability to access analytical dashboards and spatial visualizations from any device also supports collaboration between a distributed workforce and enables real-time decision-making across geographically dispersed teams, thus supporting the location analytics market forecast.

Analysis by Location Type:

  • Indoor
  • Outdoor

Outdoor leads the market, with a share of 65%, utilizing the capabilities of global positioning system (GPS) technology, satellite imagery, cellular network triangulation, and geographic information system platforms to monitor, analyze, and interpret geospatial data in open outdoor settings. The leading market position of outdoor location analytics is supported by its widespread use in fleet management, logistics analysis, urban planning, transportation network analysis, and agricultural land monitoring, where accurate geospatial intelligence is critical to operational efficiency. Retail businesses apply outdoor location data to analyze consumer movement patterns, assess new store locations, and optimize delivery routes in large geographic areas. The rising use of autonomous vehicles and drone delivery services is also fueling the need for high-accuracy outdoor positioning and geospatial analytics capabilities. Furthermore, government organizations and local administrations are increasingly applying outdoor location analytics to infrastructure development, environmental monitoring, and emergency response coordination, expanding the use cases and maintaining strong market performance in this segment.

Analysis by Application:

  • Remote Monitoring
  • Sales and Marketing Optimization
  • Asset Management
  • Risk Management
  • Facility Management
  • Others

Sales and marketing optimization is the leading segment, with a market share of 20%. Location analytics is a crucial component that helps improve sales and marketing strategies by providing organizations with detailed location-based insights into consumer demographics, foot traffic, competitor proximity, and regional purchasing behaviors. Organizations use geospatial intelligence to discover high-value market locations, optimize advertising expenditures across geographic locations, and design marketing campaigns according to localized consumer preferences and seasonal variations in demand. The combination of location intelligence with customer relationship management solutions helps organizations personalize marketing communications in real-time, resulting in improved engagement and conversion results. Retailers and quick-service restaurants use geofencing solutions fueled by location analytics to send proximity-based offers and notifications that grab consumers' attention at strategic points of decision-making. The growing trend of adopting omnichannel marketing approaches is further fueling the demand for location intelligence solutions that connect offline and online consumer interactions, helping organizations create a unified brand experience.

Analysis by End Use Industry:

  • BFSI
  • Healthcare
  • Hospitality
  • Government
  • Transport and Logistic
  • IT and Telecom
  • Retail and Consumer Goods
  • Media and Entertainment
  • Others

Retail and consumer goods account for 18% market share, thanks to the prime importance of spatial intelligence in optimizing retail store operations, understanding consumer shopping behavior, and improving customer engagement strategies. Retailers use location analytics solutions to analyze foot traffic patterns, calculate dwell time, assess the effectiveness of store layouts, and determine the effect of promotional activities on the conversion rate of in-store customers. The rising trend of experiential retail and personalized shopping experiences is forcing retailers to adopt sophisticated geospatial solutions that offer real-time insights into customer movements and preferences in physical stores. Additionally, consumer product companies use location intelligence to optimize distribution networks, territory planning, and demand forecasting at a detailed geographic level. The rising integration of online and offline retail channels is also fueling the adoption of location intelligence, as companies are looking for integrated spatial insights that link online engagement metrics with offline store performance metrics to inform comprehensive business strategies.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America, contributing 30% to the market share, retaining the leading market position. The dominance of the North America market is due to the region's well-developed technological foundation, high adoption rates of enterprise technology, and the prominent presence of leading location analytics solution vendors that are driving innovation and development. Organizations in the North American market, including retail, healthcare, logistics, and financial services, are early adopters of geospatial intelligence solutions, leveraging location data to enhance operations, customer experience, and strategic planning. The well-developed digital advertising market in the region is also fueling the demand for location-based marketing analytics solutions that provide tangible return on investment. Moreover, the increasing adoption of smart city projects and intelligent transportation systems in major cities is also driving a significant demand for sophisticated spatial analytics solutions. The region's favorable regulatory framework for technology adoption and access to qualified data science talent is also solidifying the region's position as the leading location analytics innovator and adopter worldwide.

KEY REGIONAL TAKEAWAYS:

UNITED STATES LOCATION ANALYTICS MARKET ANALYSIS

The United States represents the most significant national market for location analytics, driven by a highly developed technology ecosystem and widespread enterprise adoption of data-driven decision-making practices. The country's robust digital infrastructure, including extensive broadband connectivity, advanced cellular networks, and high smartphone penetration rates, provides a strong foundation for location data collection and analysis at scale. Enterprises across the retail, healthcare, financial services, and logistics sectors are increasingly leveraging location analytics to optimize store performance, personalize customer engagement, improve supply chain efficiency, and enhance risk management capabilities. The thriving e-commerce landscape is further fueling demand for location intelligence solutions that bridge online and offline consumer behaviors, enabling unified commerce strategies. Additionally, the growing emphasis on smart city development and intelligent transportation systems across major urban centers is creating significant opportunities for location analytics providers to deliver advanced spatial insights for urban planning and mobility optimization. The strong venture capital investment ecosystem supports continuous innovation in geospatial technology startups, ensuring a steady pipeline of advanced location analytics solutions entering the market and addressing evolving enterprise requirements.

EUROPE LOCATION ANALYTICS MARKET ANALYSIS

Europe represents a significant and rapidly evolving market for location analytics, characterized by strong regulatory frameworks governing data privacy that are shaping the development of privacy-compliant geospatial solutions across the region. The general data protection Regulation has established stringent requirements for location data handling, compelling solution providers to develop innovative anonymization and consent management capabilities that balance analytical utility with individual privacy protection. European enterprises in the retail, automotive, logistics, and tourism sectors are actively adopting location analytics to enhance operational efficiency, optimize distribution networks, and deliver personalized customer experiences tailored to regional consumer preferences. The growing momentum behind smart city initiatives in major European metropolitan areas, particularly in Germany, the United Kingdom, France, and the Nordic countries, is driving substantial investment in spatial analytics platforms for urban planning, traffic management, and public service delivery. Furthermore, the expanding adoption of connected vehicle technologies and autonomous driving platforms across the European automotive industry is creating new demand for high-precision location intelligence solutions.

ASIA-PACIFIC LOCATION ANALYTICS MARKET ANALYSIS

The Asia-Pacific region is emerging as the fastest-growing market for location analytics, propelled by rapid digital transformation across developing economies, increasing smartphone penetration, and expanding mobile internet connectivity. China, Japan, India, South Korea, and Australia represent key growth markets where enterprises are investing heavily in geospatial intelligence capabilities to support urbanization planning, retail expansion, and logistics optimization. In October 2025, Grab partnered with May Mobility to deploy autonomous vehicles in Southeast Asia, leveraging GrabMaps for precise navigation, fleet management, and location-based analytics across eight countries. The region's dynamic e-commerce landscape, characterized by high mobile commerce adoption and innovative delivery models, is creating substantial demand for location-based analytical tools that optimize last-mile delivery operations and enhance consumer targeting precision. Government investments in smart city infrastructure and digital public services across multiple Asian economies are further driving adoption.

LATIN AMERICA LOCATION ANALYTICS MARKET ANALYSIS

Latin America is witnessing growing adoption of location analytics solutions, driven by expanding digital infrastructure, increasing mobile connectivity, and the rising emphasis on data-driven business strategies across key economies including Brazil and Mexico. The region's rapidly growing retail and e-commerce sectors are creating demand for spatial intelligence tools that support market expansion planning, store site selection, and consumer behavior analysis. Additionally, government initiatives aimed at modernizing transportation networks and developing smart urban infrastructure are generating opportunities for location analytics deployment in public sector applications. The increasing penetration of cloud computing services is lowering adoption barriers for regional enterprises seeking cost-effective geospatial analytical capabilities.

MIDDLE EAST AND AFRICA LOCATION ANALYTICS MARKET ANALYSIS

The Middle East and Africa region is experiencing gradual yet steady growth in location analytics adoption, supported by ambitious smart city development programs, expanding telecommunications infrastructure, and increasing government investments in digital transformation. Major urban development projects across the Gulf Cooperation Council nations are driving demand for advanced spatial analytics in urban planning, transportation management, and tourism optimization. The growing retail modernization across the region is further encouraging location intelligence adoption for store performance analysis and consumer engagement enhancement. Additionally, the expanding mobile subscriber base and improving internet connectivity across African markets are creating new opportunities for location analytics providers to address emerging enterprise and public sector analytical requirements.

COMPETITIVE LANDSCAPE:

The global location analytics market exhibits a moderately consolidated competitive structure characterized by the presence of established technology corporations alongside specialized geospatial analytics providers. Leading market participants are actively pursuing strategies centered on product innovation, strategic partnerships, and geographic expansion to strengthen their competitive positioning. Companies are investing significantly in integrating artificial intelligence and machine learning capabilities into their location analytics platforms to deliver more sophisticated predictive and prescriptive spatial insights. Strategic acquisitions of niche geospatial technology firms are enabling major players to expand their solution portfolios and access specialized capabilities in indoor positioning, privacy-compliant analytics, and real-time spatial processing.

The report provides a comprehensive analysis of the competitive landscape in the location analytics market with detailed profiles of all major companies, including:

  • Cisco Spaces
  • Esri
  • Galigeo
  • GeoMoby
  • Google LLC
  • HERE Technologies
  • INRIX, Inc
  • Lepton Software
  • Precisely
  • SAP SE
  • SAS Institute Inc.
  • TomTom International BV.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. How big is the location analytics market?

2. What is the future outlook of the location analytics market?

3. What are the key factors driving the location analytics market?

4. Which region accounts for the largest location analytics market share?

5. Which are the leading companies in the global location analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Location Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Location Type

  • 8.1 Indoor
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Outdoor
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Application

  • 9.1 Remote Monitoring
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Sales and Marketing Optimization
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Asset Management
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Risk Management
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Facility Management
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Others
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast

10 Market Breakup by End Use Industry

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Healthcare
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Hospitality
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Government
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Transport and Logistic
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 IT and Telecom
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Retail and Consumer Goods
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast
  • 10.8 Media and Entertainment
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast
  • 10.9 Others
    • 10.9.1 Market Trends
    • 10.9.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Cisco Spaces
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 Financials
      • 16.3.1.4 SWOT Analysis
    • 16.3.2 Esri
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 SWOT Analysis
    • 16.3.3 Galigeo
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
    • 16.3.4 GeoMoby
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Google LLC
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 SWOT Analysis
    • 16.3.6 HERE Technologies
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
    • 16.3.7 INRIX, Inc
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 Lepton Software
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Precisely
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 SAP SE
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 SAS Institute Inc.
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 SWOT Analysis
    • 16.3.12 TomTom International BV.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 Financials
      • 16.3.12.4 SWOT Analysis
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