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市場調査レポート
商品コード
1690034
ロケーションアナリティクス市場規模、シェア、成長分析:提供別、場所タイプ別、用途別、業界別、地域別-2025年~2032年の産業予測Location Analytics Market Size, Share, and Growth Analysis, By Offering (Solutions, Deployment), By Location Type (Indoor Location, Outdoor Location), By Application, By Vertical, By Region - Industry Forecast 2025-2032 |
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ロケーションアナリティクス市場規模、シェア、成長分析:提供別、場所タイプ別、用途別、業界別、地域別-2025年~2032年の産業予測 |
出版日: 2025年03月22日
発行: SkyQuest
ページ情報: 英文 165 Pages
納期: 3~5営業日
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ロケーションアナリティクスの世界市場規模は2023年に225億米ドルと評価され、2024年の257億2,000万米ドルから2032年には749億2,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは14.3%で成長する見通しです。
ビジネスデータと地理データを統合し、ロケーションベースのインテリジェンスを強化するロケーションアナリティクスは、政府や小売業などさまざまな業界からの需要の高まりにより、大きな市場成長を目の当たりにしています。クラウドコンピューティング、AI、ビッグデータ、IoTなどの技術的進歩は、このカテゴリの採用をさらに促進する見通しです。自動車部門では、車両やモバイル機器にGPS技術が大幅に使用されているため、その応用が活性化しています。Walgreensのような小売企業は、位置情報を戦略的に活用して顧客を引き付け、ターゲットを絞った通知を通じてロイヤルティを高めています。進化する市場力学をナビゲートするために地理的データが必要であることを企業が認識するようになるにつれて、異種の位置情報ベースの情報の拡散が従来のBIツールからのシフトを促し、最終的に市場のさらなる拡大に拍車をかけています。
Global Location Analytics Market size was valued at USD 22.5 billion in 2023 and is poised to grow from USD 25.72 billion in 2024 to USD 74.92 billion by 2032, growing at a CAGR of 14.3% during the forecast period (2025-2032).
Location analytics, which integrate business and geographic data for enhanced location-based intelligence, are witnessing significant market growth due to rising demand from governments and various industries like retail. Technological advancements such as cloud computing, AI, big data, and IoT are poised to further drive this category's adoption. The automotive sector's substantial use of GPS technology in vehicles and mobile devices has revitalized its application. Retailers, like Walgreens, are strategically leveraging location data to engage customers, enhancing loyalty through targeted notifications. As businesses increasingly recognize the necessity of geographical data to navigate evolving market dynamics, the proliferation of disparate location-based information is prompting a shift away from traditional BI tools, ultimately fueling further market expansion.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Location Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Location Analytics Market Segments Analysis
Global Location Analytics Market is segmented by Offering, Location Type, Application, Vertical and region. Based on Offering, the market is segmented into Solutions, Deployment and Services. Based on Location Type, the market is segmented into Indoor Location and Outdoor Location. Based on Application, the market is segmented into Risk Management, Emergency Response Management, Customer Experience Management, Supply Chain Planning and Optimization, Sales & Marketing Optimization, Location Selection & Optimization and Other Applications. Based on Vertical, the market is segmented into Retail & Ecommerce, Manufacturing, Government & Defense, Media & Entertainment, Automotive, Transportation & Logistics, Energy & Utility, Telecommunication, BFSI, IT/ITES, Healthcare & Life Sciences, Agriculture and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Location Analytics Market
The Global Location Analytics market is significantly influenced by the expansion of big data and Internet of Things (IoT) technologies. As data pours in from diverse channels like social media, mobile applications, and GPS devices, organizations can utilize location-based insights to enhance decision-making, streamline operations, and expand customer reach. This convergence of big data, IoT, and location analytics fosters real-time analytics that generates actionable insights, propelling the growth of the market. As businesses increasingly recognize the value of these technologies, their adoption continues to rise, further stimulating the demand for advanced location analytics solutions across various sectors.
Restraints in the Global Location Analytics Market
The Global Location Analytics market faces notable restraints stemming from privacy and security concerns related to the use of location data. Businesses are challenged to navigate intricate legal frameworks to ensure compliance with stringent regulations such as the CCPA and GDPR. As companies prioritize the protection of sensitive user information, their ability to collect and leverage location data may be constrained, potentially hindering market growth. Additionally, apprehensions surrounding data breaches and the potential for data misuse create further hurdles for the widespread adoption of location-based solutions, impacting the overall development of the location analytics sector.
Market Trends of the Global Location Analytics Market
The Global Location Analytics market is witnessing a significant trend driven by the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advanced analytics solutions harness location data derived from various signatures and pattern recognition methodologies, enabling businesses to make data-driven decisions with enhanced precision. Companies are increasingly investing in AI and ML to develop practical simulators and high-definition maps for effective data visualization, thus improving operational efficiency and customer engagement. This growing focus on AI and ML not only provides a competitive edge but also enhances the capability to analyze spatial data, leading to more strategic business outcomes.