Market-Entry Study — Grid Interconnection & Large-Load Power Intelligence

NAICS 221121 · Electric bulk power transmission and control

Verdict: ENTER — narrowly, as a data/service business, not a platform. Prepared 2026-09-08 · Evidence tiers per ../_method/screening-model.md

The proposition being tested

Entering large-load grid interconnection intelligence with a subscription dataset and decision-support service that answers "where can I actually get N megawatts by date D, and what is the probability it slips" for data-centre developers, site selectors, and the infrastructure capital behind them.

1. MARKET SIZE

The demand is physical, not sentimental

This is the rarest thing in a market study: a driver that cannot be talked down, because it is queue arithmetic.

The headline: roughly half of 2026's planned AI data-centre capacity is at risk from grid connection delay, not chip supply [B]. The constraint moved from GPUs to electrons, and it moved fast enough that the tooling has not caught up.

Top-down market size is the wrong number here

The "data centre grid connection services" market figure circulating at ~8.6% CAGR [C] is a vendor forecast measuring engineering and construction services — substations, transformers, network reinforcement. That is not the market being entered. Quoting it would inflate this study by an order of magnitude.

Bottom-up sizing — the honest number

[UNVERIFIED — assumption structure, verify each line]

At a realistic 5–12% share over five years this is a $2.3M–$5.5M ARR business, possibly $10M+ if the diligence-services line scales alongside it.

This is the finding that should shape the decision. This is a high-conviction, low-ceiling market. It is an excellent business for a small team and a poor one for anyone who needs a venture outcome. Anyone entering here expecting a $100M category has misread the buyer count — there are fewer than a thousand real buyers in North America.

Demand signals — what was checked and what was not

• Industry data: STRONG. LBNL's queue dataset, ISO/RTO queue postings, and S&P Global load forecasts all point the same direction, independently.
• Trade press: STRONG. Interconnection delay is now the lead story in grid and data-centre coverage rather than a technical footnote.
• Search volume: NOT MEASURED. No keyword tool is wired into this repo. Run before committing: interconnection queue, large load interconnection, ERCOT large load queue, data center site selection power, PJM queue status, where to build data center power availability. Threshold: if combined US monthly volume for the commercial-intent subset is under ~2,000, organic acquisition is dead and every entry path below must assume paid or direct sales.
• Reddit: THIN AND EXPECTED TO BE. This buyer does not post. Absence here is not a negative signal; it means Reddit is the wrong instrument. Substitute: r/energy and r/electricalengineering for practitioner texture only.
• Amazon reviews: NOT APPLICABLE. No consumer surface.

Growing or shrinking: growing, hard, with a decade of visibility. Even if AI capex halved tomorrow, the 2,060 GW already in queue takes years to clear.

2. THE CUSTOMER

What they want that nobody is giving them

The incumbents answer an engineering question. The buyer is asking a capital allocation question. These are not the same question.

What exists: load-flow simulation and interconnection study automation, sold to the transmission provider or the utility performing the study.

What is missing: a ranked, probability-weighted answer to "Of the 40 counties that meet my fibre, water, land, and tax criteria, which can deliver 300 MW by Q3 2029, and what is the confidence interval on that date?"

Nobody sells that. The reason is instructive: it requires stitching together public data that is published by nine different ISOs/RTOs plus provincial operators, on different cadences, in different schemas, with different definitions of what "active" means. It is a data-janitorial problem wearing an engineering problem's clothes — which is exactly why an engineering-software incumbent has not solved it.

What they pay for right now to solve it badly

The spend is already happening. The question is not whether there is a budget — it is whether a product can take share from consulting hours.

Willingness to pay

[UNVERIFIED — this is the single most important number to validate in the 30-day test.] The anchor is favourable: against a $50k–$250k consulting study, a $40k–$60k annual subscription that covers all sites continuously is an easy internal justification. Against a $0 free tool, it is a hard one. Which anchor the buyer uses is unknown and is the difference between a business and a hobby.

Reasoned range: $25k–$75k ACV for developers; $75k–$150k for hyperscale. Diligence engagements: $15k–$40k each, higher confidence than the subscription number because it maps directly onto existing consulting spend.

3. THE COMPETITION

Who owns this today

Where they are slow, weak, or hated

The Pearl Street acquisition is the central competitive fact of this study. The one company that had built exactly this capability, on $2.8M — a rounding error — was absorbed into a large energy-data incumbent in March 2025 [B]. Three consequences, all favourable to a new entrant:

1. The independent option disappeared. Buyers who wanted a focused tool now buy an Enverus subscription or nothing.
2. Post-acquisition, product direction follows the acquirer's revenue base — utilities, transmission providers, and O&G. The developer-side siting buyer is not Enverus's core account and will be served at enterprise price and enterprise pace.
3. $2.8M was enough to build the hard part. That is a costing datapoint, not a guess: this capability does not require a $50M raise.

Secondary weaknesses: engineering incumbents (PSS/E and peers) sell to engineers performing a mandated study, and have no reason to build executive-facing comparative siting. Free tools show current state and deliberately make no forward claim, because a wrong forward claim is a liability they will not take.

The gap that cannot be closed quickly

Developer-side, cross-ISO, forward-probability siting intelligence.

Enverus can close it — but doing so means building a product for a buyer that competes for roadmap against its utility and O&G accounts, and pricing it below its enterprise floor. Large companies are structurally bad at both. That is the walk-through gap, and the realistic window is 18–30 months.

4. ENTRY STRATEGY

Three ways in, ranked

#1 — Diligence-as-a-service, productised. Cost: <$10k. Odds: highest. Sell the analysis as an engagement to infra PE and developers at $15k–$40k per site portfolio. Revenue in weeks. Every engagement is a paid customer interview, and the deliverable template becomes the product spec. The buyer already has this line item, so you are competing on quality, not creating a budget. Ranked first because it produces revenue and evidence simultaneously.

#2 — Paid data subscription. Cost: <$5k. Odds: medium-high. A weekly cross-ISO large-load queue delta report — what entered, what withdrew, what moved, and what it implies. Cheapest possible entry, builds the audience that #1 sells into and #3 converts. Weakness: a newsletter is easy to copy; the moat is the cleaned longitudinal dataset behind it, not the prose.

#3 — Full SaaS platform. Cost: $250k–$600k to credible v1. Odds: lowest first. The eventual shape of the business, and the wrong opening move. Do this only after #1 has produced 8–10 paying engagements that agree on what the screen should show.

Recommended sequence: #2 to build audience → #1 to earn revenue and spec → #3 once the spec stops changing.

What would have to be true to win

1. Cross-ISO queue data can be normalised into a defensible longitudinal dataset — and the normalisation, not the modelling, is the moat.
2. At least ~300 organisations will pay five figures annually for siting confidence. (SAM above says ~930; validate the paying subset.)
3. Enverus keeps aiming Pearl Street's capability at utilities, not developers, for 18+ months.
4. Forward-probability estimates can be made accurate enough to publish and defend. This is the hardest one and the most likely to fail.
5. A credible technical voice can be established in a market where the buyers know far more about power systems than the entrant does.

The smallest test that proves or kills this in 30 days

Build the tracker, publish four issues, ask for money in week three.

Pass: ≥150 qualified subscribers (title-verified: developer, IPP, utility planning, infra investor) AND ≥2 paid pilots closed at $2,500. Fail: <40 qualified subscribers OR 0 paid pilots. Ambiguous (between the two): extend 30 days, raise pilot price to $7,500 — if the objection is price rather than value, the ACV thesis above is wrong.

Total cost: under $5,000 and one month.

5. KILL CRITERIA

Three findings that should end this today. Written in the knowledge that the Pearl Street story makes this market unusually easy to fall in love with.

1. Enverus ships a developer-tier interconnection product under $25k/year. They own the asset, the data, and the distribution. If they aim it at this buyer, the gap closes before a new entrant has ten customers. Check monthly. This is the highest-probability kill on the list.

2. FERC Order 2023 compliance produces genuinely standardised, machine-readable queue data across ISOs. The entire moat is that this data is a mess. Standardise it and the differentiated asset becomes a free download, leaving only the forward-probability model — which is the hardest and least defensible piece.

3. The paying buyer count is ~50, not ~900. The most likely failure mode, and the one this study is most exposed to. If the real buyers are a dozen hyperscalers plus a handful of the largest developers, this is a boutique consultancy with a ceiling around $1.5M/year. That may be a fine outcome — but it is a completely different decision, and it should be made deliberately rather than discovered in year two.

The honest bias check: this market has a compelling narrative — physics-driven demand, a hated bottleneck, a competitor conveniently acquired out of the way. The narrative is genuine. The buyer count is what makes it a modest business rather than a large one, and narrative is precisely what makes buyer count easy to skip.

THE CALL: ENTER

Enter, with the scope stated plainly.

The demand driver is the most durable on this list — it is queue arithmetic, not a trend. The pain is measured in years of delay against billions of committed capex. The one credible independent competitor was acquired in March 2025, leaving the developer-side buyer without a focused option and opening an 18–30 month window. Entry costs under $5,000 via path #2 and produces revenue within 60 days via #1.

Enter to build a $3–8M ARR data and services business. Do not enter expecting a platform company; the buyer count will not support it, and pretending otherwise means over-hiring against a market of nine hundred organisations.

Reverse the call if Enverus announces a developer-tier product, or the 30-day test returns fewer than 40 qualified subscribers with zero paid pilots.

STRUCTURED ANALYSIS

Four dimensions of this study — demand landscape, revenue model, cost structure, and execution & risk factors — are held as structured data in profile.json in this folder rather than repeated as prose here, so there is exactly one source of truth for every figure.

The Market Research app renders all four as panels above this report — run npm run dev from markets/, or open /reports/<naics>.

Sources

• LBNL — Queued Up: Characteristics of Power Plants Seeking Transmission Interconnection
• Ascend Analytics — Can US Interconnection Queues Survive Data Center-Driven Load Growth?
• Inflect — Data Center Power Shortage 2026: Why Grid Capacity Is Now the Bigger Constraint Than GPUs
• mGrid — Data Center Grid Delays Put 50% of 2026 AI Capacity at Risk
• Bloom Energy — 2026 Data Center Power Report
• PR Newswire — Enverus acquires Pearl Street Technologies
• Crunchbase — Pearl Street Technologies funding
• Canary Media — It's hard to connect clean power to the grid. New software can help
• DataM Intelligence — Data Center Grid Connection Services Market Outlook 2035
• Wage and employment data: ../../occupation/data/build/site-data.json (O*NET 29.0 / BLS OEWS / ESDC Job Bank 2025)