Market Insight: The Next Wave Of Innovation In Climate Financial Data And Analytics
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Executive Summary
This report examines how AI, geospatial intelligence and biodiversity analytics are driving the development of climate financial data analytics products. These technologies strengthen risk management, enhance transparency and build resilience in sustainable finance. As investors demand more precise climate insights, financial institutions are using AI to close data gaps, integrating geospatial tools for advanced risk modelling, and connecting biodiversity data to support nature-positive investments. This report highlights key trends and use cases, demonstrating how these innovations can boost competitiveness and help firms tackle challenges around climate finance.
Table of contents
AI, geospatial intelligence and biodiversity: shaping the future of climate financeHarnessing AI to overcome challenges and drive transparency in climate finance
Leveraging geospatial insights for comprehensive risk management and resilient investments
Integrating biodiversity risk assessments for nature-positive investment opportunities
Table of figures
Figure 1. The innovation nexus: AI, geospatial intelligence and nature analyticsOrganisations mentioned
Bloomberg, BloombergNEF, Clarity AI, Global Disaster Alert and Coordination System (GDACS), ICE (Intercontinental Exchange), International Union for Conservation of Nature (IUCN), IPCC (Intergovernmental Panel on Climate Change), ISS ESG, Moody’s, MSCI, Munich Re, Neural Alpha, NGFS (Network for Greening the Financial System), PwC, riskthinking.AI, S&P Global, Sustainalytics, Task Force on Nature-related Financial Disclosures (TNFD), UN Environment Programme (UNEP), US National Weather Service, World Economic Forum, ZestyAIAbout the authors
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