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市場調查報告書
商品編碼
2100008
印度地理空間分析:市場佔有率分析、產業趨勢與統計、成長預測(2026-2031)India Geospatial Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031) |
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據 Mordor Intelligence 稱,2025 年印度地理空間分析市值為 15.8 億美元,預計到 2031 年將達到 35.5 億美元,而 2026 年為 18.1 億美元,預測期(2026-2031 年)複合年成長率為 14.43%。

本報告按類型(表面分析、網路分析、地理視覺化等)、元件(軟體和服務)、部署模式(本地部署等)、應用程式(定位服務、災害管理和緊急應變等)以及最終用戶產業(農業、公共產業和電信等)進行細分。市場預測以美元計價。
2022年實施的政策消除了安全審查的障礙,並引入了自我認證體系,使印度公司能夠創建先前僅限於政府機構使用的高解析度地圖。目前,覆蓋全國的CORS網路為測量員提供了厘米級的精度,而SVAMITVA計畫已對超過28萬個村莊進行了數位化,產生了詳細的土地記錄數據,支持各種分析應用場景。強制性開放標準吸引了私人資本,預計到2025年,印度地理空間分析市場規模將達到5.2億印度盧比。由於外國公司必須與印度合作夥伴合作才能進行實地調查,因此印度本土供應商擁有監管優勢,這不僅保護了資料主權,也促進了當地就業。
通訊業者は、46万9,000基の5G基地局を設置し、全地区の99.6%をカバーしており、カバレッジを最大化し、設備投資を最小限に抑える空間計画ツールの緊急な必要性を高めています。「GatiShakti Sanchar」ポータルは、用地使用権の承認を一元化し、光ファイバー敷設の期間を短縮するとともに、土木工事の重複を削減しています。リライアンス,ジオによる17都市にわたる7,544万米ドルの拡張計画は、地理空間需要の財政的規模を浮き彫りにしています(INVESTINDIAGRID)。将来の6G調査、すなわち「バーラト6Gビジョン」の下で資金提供を受ける111のプロジェクトでは、さらに高密度なセル配置が必要となり、リアルタイムの位置情報分析への需要がさらに高まるでしょう。
到2027年,印度需要125萬名人工智慧專家,然而,地理空間模組在大多數工程課程中仍然處於邊緣地位。光是水資源機構就需要3.5萬名訓練有素的員工來操作地理資訊系統(GIS)應用。主要大都會圈以外的人才短缺問題尤其嚴重,阻礙了印度地理空間分析市場滲透到農村發展計畫。
至2025年,網路分析將佔印度地理空間分析市場35.10%的佔有率。通訊業者依靠射頻傳播模型和地形分析來設計大型基地台和小型基地台的部署位置,以實現全國範圍的5G網路部署。公共產業正在部署類似的工具集來最佳化光纖和電網線路,而交通負責人則利用連接分析來緩解交通走廊的擁塞。印度地理空間分析市場中的地理空間視覺化市場預計將以15.02%的複合年成長率成長,這表明市場正朝著基於儀錶板的決策工具方向發展,這些工具能夠簡化複雜的空間資料集。在以公民為中心的管治的推動下,政府機構需要互動式3D城市模型和即時移動孿生模型來進行場景測試。零售商和物流公司正在將以地圖為中心的商業智慧層整合到車輛路徑規劃和暗店部署中,這表明該技術在私營部門中得到了廣泛應用。
隨著資料日益複雜,「資料整合與轉換」(即將衛星影像、地籍圖和物聯網資料整合到統一的模式中)的重要性也日益凸顯。 「PM Gati Shakti」平台就是一個多層融合的典型案例,它整合了1600個資料集,用於協調基礎設施建設。印度太空研究組織(ISRO)藍圖發射50顆人工智慧衛星,預計資料量將大幅成長,這將進一步推動對自動化資料管道的需求,以清洗、標註影像資料並將其傳輸到分析引擎。
到2025年,軟體將佔據印度地理空間分析市場60.78%的佔有率。這主要歸功於公共和私營機構對GIS套件、圖像伺服器和空間SQL資料庫的授權使用。然而,服務收入規模正以15.55%的複合年成長率成長,因為成功實施需要資料遷移、模型客製化和雲端協作。 Esri印度在政府市場上提供的託管服務清晰地展現了向基於結果的合約模式的轉變,這種模式將軟體、託管和SLA打包在一起。保險公司正在外包作物產量檢驗演算法,這些演算法整合了Sentinel的圖像資料和精算表,需要其內部團隊通常不具備的跨學科專業知識。對於小規模的市政機構而言,託管服務使它們能夠避免購買硬體,並且每個機構都可以在國家主權雲上使用付費使用制的分析服務。
According to Mordor Intelligence, the India geospatial analytics market size was valued at USD 1.58 billion in 2025 and estimated to grow from USD 1.81 billion in 2026 to reach USD 3.55 billion by 2031, at a CAGR of 14.43% during the forecast period (2026-2031).

This report is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization, and More), Component (Software and Services), Deployment Mode (On-Premises, and More), Application (Location-Based Services, Disaster Management and Emergency Response, and More), End-User Vertical (Agriculture, Utilities and Communication, and More). The Market Forecasts are Provided in Terms of Value (USD).
The 2022 policy dismantled security-clearance bottlenecks and introduced self-certification, allowing Indian firms to create high-resolution maps once confined to government agencies. A nationwide CORS network now delivers centimeter-level accuracy to surveyors and the SVAMITVA program has digitized more than 2.8 lakh villages, producing granular land-records data that fuels diverse analytics use cases. Open-standards mandates invite private capital, pushing the India Geospatial Analytics market toward INR 52,000 crore valuation by 2025. Domestic providers gain a regulatory moat because foreign entities cannot conduct ground surveys without Indian partners, ensuring data sovereignty and boosting local employment.
Telecom operators have installed 4.69 lakh 5G base transceiver stations covering 99.6% of districts, driving an urgent need for spatial planning tools that maximize coverage and minimize capital outlay. The GatiShakti Sanchar portal centralizes Right-of-Way approvals, cutting fiber deployment timelines and reducing duplication of civil works. Reliance Jio's USD 75.44 million expansion across 17 cities underscores the financial scale of geospatial demand INVESTINDIAGRID. Future 6G research, 111 projects funded under Bharat 6G Vision, will require even denser cell geographies, amplifying demand for real-time location intelligence.
India needs 1.25 million AI professionals by 2027, yet geospatial modules remain peripheral in most engineering curricula. Water-resources agencies alone require 35,000 trained staff for GIS applications. Scarcity is acute outside major metros, limiting the diffusion of the India Geospatial Analytics market into rural development programs.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Network Analysis contributed 35.10% to the India Geospatial Analytics market in 2025. Telecom providers depend on RF propagation models and terrain analytics to design macro-cell and small-cell layers required for nationwide 5G. Utilities deploy similar toolsets to optimize fiber and power-grid routes, and transport planners rely on connectivity analytics to decongest corridors. The India Geospatial Analytics market size for Geovisualization is projected to expand at 15.02% CAGR, signaling a shift toward dashboard-based decision tools that simplify complex spatial datasets. Driven by citizen-centric governance, agencies demand interactive 3D city models and real-time mobility twins for scenario testing. Retailers and logistics firms embed map-centric BI layers to route fleets and place dark stores, indicating broad private-sector uptake.
Growing data complexity elevates Data Integration and Transformation, which fuses satellite imagery, cadastral maps and IoT feeds into unified schemas. The PM Gati Shakti platform exemplifies multi-layer fusion, integrating 1,600 datasets for infrastructure alignment. ISRO's roadmap of 50 AI-enabled satellites will multiply data volumes, reinforcing demand for automated pipelines that clean, label and stream imagery to analytics engines.
Software held 60.78% India Geospatial Analytics market share in 2025 as public and private bodies licensed GIS suites, imagery servers and spatial SQL databases. Yet the services revenue pool grows at 15.55% CAGR because successful roll-outs require data migration, model customization and cloud orchestration. Esri India's managed services on the Government e-Marketplace illustrate the shift toward outcome-based engagements that bundle software, hosting and SLAs. Insurance carriers outsource crop-yield validation algorithms that merge Sentinel imagery with actuarial tables, demanding cross-domain expertise that few in-house teams possess. For smaller municipalities, managed services circumvent hardware purchases, letting agencies access pay-per-use analytics on national sovereign clouds.