Climate technology patents from niche to mainstream
Ch. 31Green Innovation
Having examined digital health and the convergence of medical devices with health informatics, this chapter turns to green innovation, a domain that spans the broadest range of technology areas in ACT 6 and whose growth trajectory is increasingly intertwined with AI-driven optimization.
Climate change constitutes one of the defining challenges of the 21st century, and the patent system provides a valuable lens through which to observe the technological response. This chapter traces the growth of green innovation through patents classified under the Cooperative Patent Classification — a hierarchical system jointly managed by the USPTO and EPO that categorizes patents by technology area (e.g., H = Electricity, G = Physics).'s A CPC classification section for technologies related to climate change mitigation. Sub-categories include renewable energy (Y02E), transportation (Y02T), carbon capture (Y02C), buildings (Y02B), and industrial production (Y02P). and Y04S codes, encompassing solar panels, wind turbines, electric vehicles, carbon capture, and smart grids.
Green Patent Volume Over 50 Years
Green patent filings increased from 3,000 per year in the late 1970s to 30,000 per year by the early 2020s (peaking at 35,693 in 2019). Patent filings continued to grow following the 2015 Paris Agreement, with batteries and electric vehicles exhibiting particularly strong growth. Green patents represented 9–10% of all utility patents granted annually during 2015–2024.
Figure 1
Green Patent Volume Rose to 36K by 2019, Reaching 10.0% of All Utility Patents
Annual count and share of utility patents with at least one Y02/Y04S CPC code, tracking the growth of climate technology patenting.
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Annual count of utility patents with at least one Y02/Y04S CPC code, 1976–2025. The most prominent pattern is the sustained upward trajectory, with green patents peaking at 36K in 2019, representing 10.0% of all utility patents. Grant year shown. Application dates are typically 2–3 years earlier.
Green patenting has evolved from a specialized activity to nearly one in ten US patents, reflecting substantial corporate and government investment in climate technology. The growth trajectory mirrors, and in certain periods exceeds, the broader expansion of the patent system.
Green Technology Breakdown
Green technologies have not followed a uniform growth trajectory. Renewable energy generation (solar and wind) led the early expansion, but batteries/storage and transportation (particularly electric vehicles) have grown to become the largest categories in recent years, with batteries/storage reaching 7,363 patents and transportation/EVs reaching 5,818 patents in 2024, compared to 3,453 renewable energy patents. Carbon capture remains a smaller category at 374 patents in 2024.
Figure 2
Battery, Storage, and EV Patents Surpassed Renewable Energy After 2010, Reaching 7,363 and 5,818 versus 3,453 by 2024
Annual patent counts by green technology sub-category (renewable energy, batteries, EVs, carbon capture, and related categories) based on Y02/Y04S sub-codes.
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Annual patent counts by green technology sub-category (Y02/Y04S CPC sub-codes), 1976–2025. Battery/storage and transportation patents overtook renewable energy generation as the leading sub-categories during the 2010s, with battery/storage reaching 7,363 patents and transportation/EVs reaching 5,818 patents by 2024, compared to 3,453 renewable energy patents.
The green patent portfolio has diversified substantially. While renewable energy generation dominated through the 2000s, the 2010s exhibited considerable growth in battery/storage and electric vehicle patents, coinciding with the electrification of transportation and declining battery costs.
Figure 3
EV-Battery Co-Classification Lift Rose From 1.31 in 2000 to a Peak of 1.98 in 2023, Revealing Increasing Technology Integration
Lift of co-occurrence between EV (B60L/B60W) and battery (H01M/H02J) CPC codes among green patents.
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Lift above 1.0 means EV and battery patents co-occur more often than random chance on the same green patent. Rising lift indicates tighter technological coupling between electric vehicle drivetrains and energy storage systems.
Leading Organizations in Green Patenting
Japan has historically been the second-largest green patent filer, led by Toyota (12,636 total patents) and Honda (5,807) in automotive technologies and Mitsubishi Electric and Toshiba in energy systems. South Korea's annual green patent count grew from 174 in 2005 to 2,989 by 2024 (reaching 67% of Japan's 2024 count of 4,455), led by Samsung (13,771 total patents), LG, and Hyundai (4,888). US firms such as General Electric (10,812) and Ford (7,383) have maintained strong positions.
Figure 4
South Korea's Green Patents Grew From 174 in 2005 to 2,989 by 2024, Reaching 67% of Japan's Annual Count
Annual green patent counts by primary assignee country, showing the shifting competitive landscape of climate technology innovation.
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Annual green patent counts by primary assignee country/region, 1976–2025. South Korea's annual count grew from 174 in 2005 to 2,989 by 2024, reaching 67% of Japan's 2024 count (4,455), led by Samsung, LG, and Hyundai.
Japan's early lead in green patenting reflects its substantial early investment in hybrid vehicles and energy efficiency. South Korea's growth from 174 annual patents in 2005 to 2,989 in 2024 coincides with the rise of Samsung (13,771 total patents), LG, and Hyundai (4,888) in battery and electric vehicle technologies.
Figure 5
Samsung (13,771), Toyota (12,636), and GE (10,812) Lead the Top 20 Green Patent Holders
Organizations ranked by total green patent count (Y02/Y04S classifications) From 1976 to 2025 (Through September), dominated by automotive and electronics firms.
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Organizations ranked by total green patent count (Y02/Y04S classifications), 1976–2025. The data indicate that automotive firms and electronics conglomerates account for the majority of the top 20 positions, with Samsung, Toyota, and General Electric each exceeding 10,000 green patents.
The leading green patent holders are predominantly automotive and electronics conglomerates — organizations with substantial R&D budgets and the engineering capabilities to address energy, transportation, and industrial decarbonization at scale.
Organization Rankings Over Time
The competitive landscape of green patenting has shifted substantially over the past two decades. Traditional energy firms and early-moving automakers established initial leadership positions, but electronics conglomerates and newer entrants have risen rapidly, reflecting the broadening of green innovation beyond energy generation into batteries, vehicles, and digital infrastructure.
Figure 6
Green Patent Leadership Has Shifted: Samsung Led With 774 Patents in 2024 as Electronics Firms Entered the Top Ranks
Annual patent rank of leading green technology organizations From 2000 to 2025 (Through September), showing competitive dynamics.
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Annual patent rank of leading organizations in green technology, 2000–2025. The heatmap reveals how Samsung, LG, and Hyundai rose to challenge the longstanding dominance of Japanese and US-based incumbents.
The entry of Korean electronics conglomerates into the top ranks of green patenting after 2010 reflects the strategic importance of battery technology and electric vehicles in reshaping the competitive landscape.
Top Green Patent Inventors
Individual inventors in the green technology space reflect the breadth of the field, spanning automotive engineers, battery chemists, power electronics specialists, and solar cell researchers. The most prolific inventors tend to be associated with major corporate R&D laboratories.
Figure 7
Shunpei Yamazaki Leads With 455 Green Patents; Top Inventors Span Automotive, Battery, and Energy Systems Engineering
Most prolific individual inventors in green technology patents, ranked by total patent count.
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Inventors ranked by total green patent count (Y02/Y04S classifications), 1976–2025. The leading inventors are predominantly associated with major automotive and electronics firms.
Green Patent Quality Indicators
Quality metrics for green patents provide insight into the depth and breadth of climate technology innovation. Average claims counts, backward citations, and technology scope indicate whether green patents are becoming more complex and better integrated with prior art.
Figure 8
Green Patent Claims Rose From 10.8 to 15.3 and Scope From 3.26 to 3.86 CPC Subclasses, 1980–2024
Average claims, backward citations, and CPC scope for green patents over time.
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Quality indicators for green patents over time, 1976–2025. Rising average claims and scope suggest that green innovations are becoming more complex and spanning multiple technology areas.
Team Size: Green versus Non-Green Patents
Figure 9
Green Patent Teams Average 3.4 Inventors versus 3.2 for Non-Green Patents in 2024
Average team size for green versus non-green patents over time, measuring the collaborative intensity of climate technology R&D.
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Average number of inventors per patent for green and non-green patents, 1990–2025. Green patents consistently involve larger inventor teams, reflecting the interdisciplinary nature of climate technology.
The consistently larger team sizes for green patents suggest that climate technology innovation draws on multiple disciplines — materials science, electrical engineering, chemistry, and software — requiring collaborative approaches.
Assignee Type Distribution
Figure 10
Corporate Assignees Account for 98.6% of Green Patents in 2024, With 29,074 of 29,482 Grants
Distribution of green patents by assignee type over time, showing the balance between corporate, government, university, and individual innovators.
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Annual green patent counts by assignee type, 1990–2025. Corporate assignees account for the vast majority of green patents, but university and government contributions have increased in absolute terms.
Cross-Domain Diffusion of Green Technology
Green patents are by nature cross-cutting — Y02/Y04S codes are applied alongside primary CPC codes from other technology sections. Tracking co-classification patterns reveals how green innovation diffuses across electricity, chemistry, mechanical engineering, and physics.
Figure 11
Electricity Co-Classification Rose From 24.7% to 51.2% of Green Patents, 1990–2024
Percentage of green patents co-classified with other CPC sections, measuring the diffusion of climate technology across technology domains.
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Percentage of green patents co-classified with each non-Y CPC section, 1990–2025. The high co-occurrence with Electricity (H) and Chemistry/Metallurgy (C) reflects the central role of energy conversion and materials science in climate technology.
Green patents are deeply embedded in electrical engineering and chemistry, reflecting the fundamental nature of climate technology as an applied fusion of these disciplines rather than a standalone technology domain.
Green AI — Where Climate Meets Artificial Intelligence
AI is increasingly applied to climate-related challenges, particularly in energy grid optimization, industrial process control, and transportation logistics. Patents classified under both green (Y02/Y04S) and AI-related CPC codes represent a growing intersection of two consequential technology domains.
Figure 12
Green-AI Patents Grew 30-Fold From 41 in 2010 to 1,238 in 2023
Annual count of patents co-classified under both green (Y02/Y04S) and AI-related CPC codes, tracking the intersection of climate and AI technologies.
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Annual count of patents classified under both Y02/Y04S (green) and AI-related CPC codes (G06N, G06F18, G06V, G10L15, G06F40), 1976–2025. Green-AI patents grew from 41 in 2010 to 1,238 in 2023 (a 30-fold increase), with the most prominent growth beginning around 2015, coinciding with advances in machine learning and neural network methods.
Green-AI patents grew from 41 in 2010 to 1,238 in 2023, coinciding with the application of machine learning and neural network methods to energy optimization, materials discovery, climate modeling, and autonomous vehicle navigation.
Figure 13
Industrial Production (3,114) and Smart Grids (2,245) Exhibit the Highest AI Adoption Among Green Sub-Categories
Patent counts at the intersection of green sub-categories and AI subfields, showing which climate domains most intensively adopt AI techniques.
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Patent counts at the intersection of green sub-categories and AI subfields; only combinations with more than 5 patents are shown. The data indicate that industrial production and smart grids represent the green categories most intensively adopting AI, with machine learning and neural networks as the dominant techniques.
Industrial production and smart grids constitute the green categories most intensively adopting AI, with machine learning and neural networks as the predominant AI techniques. Computer vision appears to play a growing role in quality control for renewable energy manufacturing.
Analytical Deep Dives
For metric definitions and cross-domain comparisons, see the ACT 6 Overview.
Figure 14
Green Entrant Patents Rose From 1,303 in 2000 to 3,394 in 2023, Showing Broad-Based Growth
Annual patent counts decomposed by entrants (first patent in domain that year) versus incumbents.
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Entrants are assignees filing their first green patent in a given year. Incumbents had at least one prior-year patent. Grant year shown.
Figure 15
Green Top-Decile Citation Share Declined From 15.4% in 2005 to 11.3% in 2020 as Volume Expanded
Share of domain patents in the top decile of system-wide forward citations by grant year × CPC section.
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Top decile computed relative to all utility patents in the same grant year and primary CPC section. Rising share indicates domain quality outpacing the system; falling share indicates dilution.
Figure 16
Top-4 Concentration in Green Patents Peaked at 10.7% in 2011 Before Declining to 5.7% by 2025 (Through September)
Share of annual domain patents held by the four largest organizations, measuring organizational concentration in green patenting.
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CR4 computed as the sum of the top 4 organizations' annual green patent counts divided by total green patents. The low peak concentration of 10.7% reflects the broad competitive landscape spanning automotive, energy, electronics, and chemical firms.
Green innovation exhibits among the lowest organizational concentration of any ACT 6 domain, consistent with its status as a policy-driven technology area where government incentives and regulatory mandates encourage broad participation rather than concentration.
Figure 17
Green Innovation Subfield Diversity Has Remained Stable at 0.86–0.90 Throughout Its 50-Year History
Normalized Shannon entropy of subfield patent distributions, measuring how evenly inventive activity is spread across green technology subfields.
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Normalized Shannon entropy (H/ln(N)) ranges from 0 (all activity in one subfield) to 1 (perfectly even distribution). The high and stable entropy (ranging from 0.86 to 0.90) indicates that green innovation has always been distributed across battery, solar, wind, EV, and energy efficiency subfields without significant concentration shifts.
The stability of green subfield diversity contrasts with domains like AI and biotechnology, which diversified substantially from narrow bases. Green innovation appears to have emerged as an inherently multi-technology domain from its inception.
Figure 18
Green Innovation Shows Rising Velocity Across Cohorts: 2000s Entrants Average 122 Patents per Year Versus 68 for 1970s Entrants
Mean patents per active year for top organizations grouped by the decade in which they first filed a green patent.
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Mean patents per active year for top green organizations grouped by entry decade. Only cohorts with three or more organizations are shown. The 2010s cohort (1 organization) and 2020s cohort (2 organizations) do not meet the minimum threshold and are excluded. Among qualifying cohorts, the velocity increase from the 1970s to 2000s reflects the acceleration of climate technology patenting coinciding with government subsidies, ESG mandates, and the Paris Agreement.
The velocity increase from the 1970s to 2000s cohort is consistent with green innovation becoming substantially more accessible to productive patenting, though the small sample sizes for the 2010s (1 organization) and 2020s (2 organizations) cohorts prevent reliable velocity estimates for the most recent entrants.
This chapter continues PatentWorld's examination of 50 years of US patent innovation. From the broad contours of the innovation landscape to the specific domains of AI and green technology, the preceding chapters have traced how the patent system has evolved in structure, geography, and character. The convergence of artificial intelligence and climate technology examined here represents a significant frontier of contemporary innovation — a domain where the patterns documented throughout this book come together in the service of addressing global challenges.
Across the twelve technology domains examined in ACT 6 — from semiconductors and quantum computing through artificial intelligence and green innovation — several cross-cutting themes emerge: the concentration of patent activity among a small number of resource-intensive firms, the accelerating convergence of formerly distinct technology fields, and the growing role of international competition in shaping domestic innovation trajectories. These domain-level patterns reinforce and extend the structural insights developed in the preceding acts, confirming that the US patent system is simultaneously becoming more specialized in its technical content and more interconnected in its organizational and geographic character.
Figure 19
Green Innovation Filings and Grants Both Peaked Near 2019 at 34,133 and 35,693 Respectively
Annual patent filings versus grants for green innovation, showing the tightest filing-grant alignment among large ACT 6 domains.
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Green innovation is distinctive among large ACT 6 domains in showing near-simultaneous filing and grant peaks. This alignment likely reflects the maturity of green technology patent examination at the USPTO, combined with the steady policy-driven demand for climate technology IP.
Data coverage: January 1976 through September 2025. All 2025 figures reflect partial-year data.