Geospatial Analytics Market by Component (Software & Solution, Service), Type (Surface & Field Analytics, Network & Location Analytics, Geovisualization), Application (Surveying, Medicine & Public Safety), Vertical, and Region - Global Forecast to 2023
|出版日||ページ情報||英文 160 Pages
|地理空間分析の世界市場の予測 〜2023年：地表面解析・ネットワーク&位置情報解析・ジオビジュアライゼーション Geospatial Analytics Market by Component (Software & Solution, Service), Type (Surface & Field Analytics, Network & Location Analytics, Geovisualization), Application (Surveying, Medicine & Public Safety), Vertical, and Region - Global Forecast to 2023|
|出版日: 2018年04月16日||ページ情報: 英文 160 Pages||
世界の地理空間分析の市場は予測期間中16.3%のCAGR (複合年間成長率) で推移し、2018年の406億5000万米ドルから、2023年には863億2000万米ドルの規模に成長すると予測されています。IoTの普及、メインストリーム技術と地理空間分析の統合、AI・ビッグデータの導入による地理空間分析の大幅な進歩などの要因が成長を推進しています。
"The increasing penetration of Internet of Things (IoT) is one of the most significant factors projected to drive the growth of the geospatial analytics market."
The geospatial analytics market size is estimated to be USD 40.65 billion in 2018 and is projected to reach USD 86.32 billion by 2023, at a CAGR of 16.3% during the forecast period. The integration of geospatial technologies with the mainstream technologies and significant advancements in geospatial analytics with the introduction of artificial intelligence and big data are the additional factors contributing to the growth of the geospatial analytics market. However, the high cost of geospatial analytics solutions is a primary factor that is likely to restrain the growth of the market.
Based on component, the software & solutions segment is estimated to lead the geospatial analytics market in 2018. The software & solutions segment is gaining traction in the geospatial analytics market owing to benefits such as the importance of location-based insights in strategic decision-making.
Based on type, the surface & field analytics segment is expected to hold the largest market share in 2018. This is attributed to the increasing adoption of surface & field analytics solutions by enterprises in almost every industry vertical to facilitate strategic decisions.
Based on region, the geospatial analytics market has been segmented into North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America. The demand for geospatial data and services in the Asia Pacific region is increasing at a higher pace majorly due to the initiatives taken by the governments to bridge the gap between the prevailing digital technologies and the geospatial technologies.
In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various organizations operating in the geospatial analytics market.
Key vendors profiled in the report:
The geospatial analytics market has been segmented by component, type, application, vertical, and region. The component segment includes software & solutions and services. The type segment includes surface & field analytics, network & location analytics, geovisualization, and others (geocomputation, agent-based modeling, artificial neural networks, evolutionary computing, map generalization, map abstraction, digital terrain analysis, map sheet). The application segment covers surveying, medicine & public safety, disaster risk reduction & management, climate change adaption, and others (image processing, mapping and research, fraud detection, supply chain planning and optimization, sales and marketing optimization, predictive asset management, inventory management). The vertical segment covers business, automotive, utility & communication, government, defense & intelligence, natural resources, and others (sports, logistics, education, tourism, media & entertainment, travel and logistics. agriculture). The regions covered include North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
The report will help market leaders and new entrants in the geospatial analytics market in the following ways:
*Details might not be captured in case of unlisted companies.