Market Insight: AI Extends Use Cases For Geospatial Data In Climate Analyses
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Executive Summary
Geospatial technologies, with AI-powered processing and analytics, can offer timely and cost-effective insights for sustainability professionals seeking to understand and make decisions on their biodiversity impact, climate risk exposure and emissions reductions strategies. This report details how the geospatial data market has changed over the past few years and outlines the key climate-related use cases for geospatial technologies. Software vendors and investors should use this report to understand the market and to inform their decisions to invest in, develop or acquire geospatial toolkits.
Table of contents
Geospatial data will be a vital part of businesses’ climate toolkitsMore geospatial data, coupled with AI-powered interpretation, can change the game
Six use cases where AI and geospatial data serve climate strategy
Table of figures
Figure 1. Geospatial data technology stackFigure 2. Why geospatial data provide useful climate insights
Organisations mentioned
Airbus, Alphabet, AlphaGeo, Amazon Web Services (AWS), AzurX, Carbon Mapper, CARTO, Climate TRACE, Climate X, CLIMsystems, Copernicus, Deloitte, Earth Blox, Environmental Defense Fund (EDF), Esri, EU, GHGSat, Google, Google Earth Engine, IBM, Institution of Civil Engineers (ICE), International Energy Agency (IEA), Lockheed Martin Corporation, Maxar Technologies, Maya Climate, Meta, MethaneSAT, Microsoft, Mitiga Solutions, NASA, NatureAlpha, NatureServe, Overstory, Picterra, Planet Labs, PropEco, PwC, Royal HaskoningDHV (formerly Ambiental), RS Metrics, Satellogic, Sourcemap, Space Intelligence, Space Ventures Investors, Swift Geospatial, Sylvera, Task Force on Climate-related Financial Disclosures (TCFD), Trase, Trimble, UN, UNEP, Verisk Analytics, Verra, Vibrant Planet, Wolters Kluwer Enablon, Workiva, World Bank GroupAbout the authors
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