Conclusions

The accurate measurement of green technology innovation is essential for effective climate and innovation policymaking. Yet the existing landscape of green technology patent classifications is characterized by significant fragmentation: the five major systems reviewed differ in scope, methodology and accessibility, producing inconsistent indicators that complicate cross-country comparisons and distort the perceived landscape of green innovation. WIPO-GTIS has been developed to address this gap, offering a standardized, internationally harmonized reference framework grounded in the broadest possible consensus across existing systems.

The taxonomy was constructed through a rigorous, transparent and fully reproducible process guided by four core principles: concentrating on universally recognized “core” green technologies identified through consensus across five major existing systems; relying exclusively on IPC codes to eliminate dependency on keyword searches or jurisdiction-specific tools, lowering barriers to adoption particularly for developing countries; designing explicitly for macro-statistical analysis through a lean architecture of five sectors and 36 technology fields; and applying AI-assisted quality control to validate IPC mappings against real-world patent data. This combination of consensus-driven design, methodological transparency and AI-assisted validation marks a significant advance over existing approaches.

Applied to global patent data spanning the period 2003–2023, WIPO-GTIS reveals a more than 3.7-fold expansion in green technology patent families – from approximately 111,400 to 412,300 – with their share of total global patenting rising from 13.7% to 18.2%. Smart energy, grid and transmission; energy storage (batteries) and air pollution control have emerged as dominant fields, while China leads in absolute filing volumes. Specialization patterns are highly sector-specific, with countries such as Singapore in solar energy, Sweden in EVs and Brazil and Israel in biopesticides reflecting the impact of targeted industrial strategies. Looking ahead, WIPO-GTIS is designed to evolve with technological change: its fully documented methodology enables systematic updates, while its IPC-based architecture ensures universal compatibility across all patent jurisdictions.

Looking beyond the period covered by this analysis, new structural drivers are likely to shape the next phase of green technology innovation. Chief among them is the rapid expansion of artificial intelligence and the associated growth in data centre electricity demand, which the IEA projects will more than double globally – from 460 TWh in 2024 to over 1,000 TWh by 2030. (1) International Energy Agency (IEA). (2025). Energy and AI. Paris: IEA. https://www.iea.org/reports/energy-and-ai Renewables are expected to meet nearly half of this additional demand, while small modular reactors (SMRs) – attracting growing investment from major technology companies and governments in China, Europe and the US – are positioned to provide low-emissions baseload power from 2030 onward. This convergence of AI-driven energy demand and clean energy deployment is likely to accelerate innovation across several WIPO-GTIS fields, including solar energy, smart grids and energy management, energy storage, nuclear energy, and thermal management. Future work in this area, drawing on post-2023 patent data, will be well-positioned to assess whether these emerging dynamics translate into measurable shifts in the global green innovation landscape.