Stratistics MRC에 따르면 세계의 위치 분석 시장은 2025년 267억 달러를 차지하고 예측 기간 동안 CAGR은 14.8%로 성장해 2032년에는 703억 달러에 이를 것으로 예측됩니다.
위치 분석은 지리적 또는 공간적 데이터에서 인사이트를 얻고 의사결정과 비즈니스 성과를 개선하는 프로세스를 포함합니다. 지리정보시스템(GIS)와 비즈니스 인텔리전스 툴을 통합해, 기업은 데이터를 지도상에서 시각화하고 지역 동향을 파악하고 물류를 최적화하며 고객 경험을 향상시킬 수 있습니다.
지리공간 데이터 및 분석 도구 이용 증가
지리공간 데이터와 고도의 분석 툴의 이용이 증가하고 있기 때문에 시장은 급성장을 이루고 있습니다. 데이터 시각화와 AI를 활용한 분석 기능을 강화함으로써 보다 스마트한 의사결정과 위치 기반 전략이 가능해지고 있습니다.
지오 프라이버시와 기밀 데이터에 대한 우려
지오 프라이버시와 민감한 데이터를 다루는 우려는 위치 분석 시장의 성장에 큰 어려움을 겪습니다. 이러한 문제는 윤리적, 법적 우려를 야기하여 규제 강화 및 소비자 신뢰 저하로 이어질 수 있습니다.
위치 정보 서비스(LBS) 및 실시간 위치 정보 시스템(RTLS)의 요구 증가
위치 정보 서비스(LBS)와 실시간 위치정보시스템(RTLS) 수요가 높아지면서 위치정보분석 시장을 크게 견인하고 있습니다. LBS와 RTLS는 업무 효율성, 안전성, 서비스 제공을 강화하는 정확하고 실시간 인사이트를 제공합니다.
세분화된 규제 상황과 국경을 넘어서는 데이터 흐름
시장에서 단편화된 규제 상황과 국경을 넘어선 복잡한 데이터 흐름은 컴플라이언스 리스크, 데이터 프라이버시에 대한 우려, 운영의 비효율성 등 중대한 과제를 낳고 있습니다. 또한 데이터 전송 정책에 일관성이 없기 때문에 세계적인 운영을 방해하고 실시간 데이터 공유 및 협업을 방해합니다.
COVID-19의 영향
COVID-19의 유행은 실시간 의사결정과 업무 효율화를 위한 디지털 기술의 채용을 가속화하여 시장에 큰 영향을 주었습니다. 위기는 예산 삭감과 신기술에 대한 투자 지연으로 이어졌습니다.
예측 기간 동안 설명형 부문이 최대가 될 전망
기술형 부문은 기업의 의사결정 최적화를 지원하기 때문에 예측기간 중 최대 시장 점유율을 차지할 것으로 예측됩니다. 기업은 고객 타겟팅을 강화하고 공급망을 간소화하고 비즈니스 효율성을 높일 수 있습니다.
예측기간 동안 자산관리 분야의 CAGR이 가장 높아질 전망
예측기간 동안 자산관리 분야가 가장 높은 성장률을 나타낼 것으로 예측되고 있습니다. 비즈니스 효율성이 향상되고 가동 중지 시간이 단축되고 자산 수명주기가 연장됩니다.
예측 기간 동안 아시아태평양은 소매, 헬스케어, 물류 등 다양한 산업에서 데이터 주도의 의사결정 채용이 증가하고 있기 때문에 최대 시장 점유율을 차지할 것으로 예측됩니다. 이에 대해서는 스마트 시티가 중시되어 도시화가 진행되어 실시간 데이터 분석의 필요성이 높아지고 있는 것도 시장 확대를 더욱 뒷받침하고 있습니다.
예측 기간 동안 북미가 가장 높은 CAGR을 나타낼 것으로 예측됩니다. 지리 정보 시스템(GIS) 기술의 발전과 인공지능(AI)과 머신러닝(ML)의 통합은 분석 능력을 더욱 강화하고 클라우드 컴퓨팅의 보급으로 확장 가능하고 비용 효율적인 솔루션을 제공하며, 위치 분석은 보다 광범위한 업종으로 활용할 수 있습니다.
According to Stratistics MRC, the Global Location Analytics Market is accounted for $26.7 billion in 2025 and is expected to reach $70.3 billion by 2032 growing at a CAGR of 14.8% during the forecast period. Location Analytics involves the process of gaining insights from geographic or spatial data to improve decision-making and business outcomes. It includes analyzing data tied to specific locations-such as addresses, coordinates, or regions-to uncover patterns, trends, and relationships. By integrating geographic information systems (GIS) with business intelligence tools, organizations can visualize data on maps, identify regional trends, optimize logistics, and enhance customer experiences. Location Analytics is widely used across industries including retail, transportation, healthcare, and urban planning, helping businesses make informed choices about site selection, marketing strategies, resource allocation, and risk management based on location-specific insights.
Increasing usage of geospatial data and analytical tools
The market is witnessing rapid growth due to the increasing use of geospatial data and advanced analytical tools. Organizations across sectors are leveraging satellite imagery, GPS data, and geographic information systems (GIS) to gain real-time insights into consumer behavior, operational efficiency, and market trends. Enhanced data visualization and AI-powered analytics are enabling smarter decision-making and location-based strategies. This trend is driven by the demand for precision, efficiency, and competitive advantage in an increasingly data-driven world.
Concerns associated with geo-privacy and confidential data
Concerns surrounding geo-privacy and the handling of confidential data pose significant challenges to the growth of the Location Analytics market. As organizations collect and analyze location-based information, risks related to data breaches, unauthorized surveillance, and misuse of personal information increase. These issues raise ethical and legal concerns, leading to stricter regulations and reduced consumer trust. Consequently, companies may face limitations in data access and usage, hindering innovation and slowing the adoption of location-based technologies across various industries.
Rising Need for Location-Based Services (LBS) and Real-Time Location Systems (RTLS)
The growing demand for Location-Based Services (LBS) and Real-Time Location Systems (RTLS) is significantly driving the Location Analytics market. Businesses are increasingly adopting these technologies to track assets, monitor workforce movements, and deliver personalized customer experiences. LBS and RTLS provide accurate, real-time insights that enhance operational efficiency, safety, and service delivery. With the proliferation of mobile devices and IoT, organizations are leveraging these tools to gain spatial awareness and improve decision-making in sectors like retail, healthcare, logistics, and smart cities.
Fragmented regulatory landscape and cross-border data flow
The fragmented regulatory landscape and complex cross-border data flow in the market create significant challenges, such as compliance risks, data privacy concerns, and operational inefficiencies. Companies must navigate varying regulations across different regions, leading to increased costs and delays in implementing location-based services. Additionally, inconsistent policies on data transfer hinder global operations, impeding real-time data sharing and collaboration. This fragmentation disrupts market growth and complicates the ability to scale solutions across borders effectively.
Covid-19 Impact
The COVID-19 pandemic significantly impacted the market by accelerating the adoption of digital technologies for real-time decision-making and operational efficiency. Businesses increasingly relied on location-based data for supply chain management, customer behavior analysis, and workforce optimization during lockdowns and restrictions. However, the crisis also led to budget cuts and delayed investments in new technologies. Despite these challenges, the demand for location intelligence solutions grew, as companies sought insights to navigate the evolving market and plan for post-pandemic recovery.
The descriptive segment is expected to be the largest during the forecast period
The descriptive segment is expected to account for the largest market share during the forecast period, due to helping businesses optimize decision-making. It integrates technologies like GIS, GPS, and IoT to provide insights across industries such as retail, healthcare, and transportation. By visualizing data on maps, companies can enhance customer targeting, streamline supply chains, and improve operational efficiency. With the increasing demand for data-driven insights and the rise of smart technologies, the market is expected to grow significantly in the coming years.
The asset management segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the asset management segment is predicted to witness the highest growth rate. By integrating GIS and IoT technologies, businesses can track asset locations in real-time, predict maintenance needs, and enhance resource allocation. This improves operational efficiency, reduces downtime, and extends the lifecycle of assets. Industries like utilities, transportation, and manufacturing benefit from location-based insights, ensuring better asset utilization, cost reduction, and timely decision-making.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing adoption of data-driven decision-making across various industries like retail, healthcare, and logistics. The rise of smartphones, IoT, and cloud-based solutions is fueling demand for location-based insights. Additionally, the region's growing emphasis on smart cities, urbanization, and the need for real-time data analytics further propels market expansion. Countries like China, India, and Japan are key contributors to this surge, presenting significant growth opportunities.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR. The proliferation of mobile devices and IoT technologies has led to an increase in location-based data, enabling businesses to gain real-time insights into customer behavior and operational efficiency. Advancements in Geographic Information System (GIS) technology and the integration of Artificial Intelligence (AI) and Machine Learning (ML) have further enhanced analytical capabilities. Additionally, the widespread adoption of cloud computing has facilitated scalable and cost-effective solutions, making location analytics accessible to a broader range of industries.
Key players in the market
Some of the key players profiled in the Location Analytics Market include IBM, Google, Oracle, Microsoft, Esri, SAS Institute, Precisely, SAP, Cisco, TomTom, Hexagon AB, Zebra Technologies, MapLarge, Sparkgeo and Ascent Cloud.
In May 2025, Lumen Technologies and IBM announced a new collaboration to develop enterprise-grade AI solutions at the edge-integrating watsonx, IBM's portfolio of AI products, with Lumen's Edge Cloud infrastructure and network. Together, Lumen and IBM aim to bring powerful, real-time AI inferencing closer to where data is generated, helping companies overcome cost, latency, and security barriers as they scale AI adoption and enhance customer experiences.
In March 2025, Esri-the global leader in location intelligence-announced a collaboration with Google Maps Platform. Enabling users to create highly detailed and visually immersive 3D maps and scenes, this collaboration integrates Google's Photorealistic 3D Tiles into the ArcGIS suite.