The assignee ranking behind this dataset covers 80 companies and individuals across 87 records, with the top-ranked filer holding 10 records against 4 apiece for the fifth and tenth-place filers. That gap between the leader and the rest indicates an early mover rather than a settled hierarchy. The top 5 assignees together account for 34.5% of all records and the top 10 for 57.5%, leaving a substantial share of the field to smaller filers, so tracking beyond the obvious leaders matters for a full competitive picture.

Filing peaked in 2020 at 20 records in a single year, and the 2021-to-2024 window, the last period the data treats as complete, shows an 11-to-7 decline, a 36% drop. Figures for 2025 and 2026 are still incomplete because patent publication typically lags filing by around 18 months, so it is too early to call the recent years a genuine slowdown rather than a reporting gap. Anyone tracking this trend should revisit it once the later years finish publishing.

The dominant IPC class is G06Q, covering business, commerce and administrative data processing, which appears on 86.2% of the 87 records in scope, reflecting the trading, clearing and settlement logic at the core of peer-to-peer energy markets. H02J grid-systems claims follow at 40.2% and H04L digital-transmission claims at 35.6%, with AI-related G06N claims at just 10.3% and EV-propulsion overlaps under B60L at 3.4%. Because records can carry multiple classes, these shares add up to more than 100%, and they show the field is weighted toward market mechanics rather than hardware.

The IPC classes with the lowest coverage, G06N for AI-driven models at 10.3% and B60L for EV integration at 3.4%, along with G01C and G05B each at 4.6%, mark branches with comparatively thin prior art relative to the dominant G06Q and H02J classes. That does not guarantee an open path, since some of that thinness reflects a smaller addressable niche rather than pure white space, but it is a reasonable starting point for a freedom-to-operate check before drafting new claims in AI-based prosumer bidding or EV-linked local trading.

US20230123959A1, published 2023-04-20, describes a system pairing an electric meter with an energy trading platform that runs a blockchain distributed ledger to record transactions between energy consumers and suppliers. The platform receives availability notices from suppliers and requests from consumers, then matches and executes a transaction between them. It is one of the more heavily cited records in this dataset's most-cited table, indicating it has been referenced widely by later filings in the same space, though citation counts favour older records generally and should not be read as a measure of present-day market strength alone.