For most of the last decade, the pitch for a new commodity trading and risk management (CTRM) or energy trading and risk management (ETRM) system was simple: markets are volatile, your spreadsheets can’t keep up, buy the software. That pitch worked. Every price shock — oil in 2020, power in 2022, gas swings since — brought a fresh wave of budget approvals. But a market sizing report published in late August 2026 by Commodity Technology Advisory (ComTech Advisory), the research firm behind CTRM Center, says that story is no longer the main driver of spending. Volatility still matters, the report’s author Dr. Gary Vasey notes, but it’s “no longer the market’s only — or even primary — source of momentum.” That’s a bigger deal than it sounds, and it changes what trading and risk teams should actually be asking for.
Volatility Used to Be the Whole Pitch
The old buying pattern was reactive. A price shock exposed gaps in spreadsheet-based risk tracking, a trading desk got burned, and a CTRM project got fast-tracked to close the gap before the next crisis. That cycle produced real growth, but it also produced brittle deployments: systems bought under pressure, configured for the crisis just survived, and never quite modernized afterward. A lot of the CTRM and ETRM estate running today in commodity houses, utilities, and trading arms was built this way — patched onto legacy cores that are now 15 to 20 years old.
What ComTech Advisory’s 2026 outlook points to instead is a market where the spending case has quietly shifted from “protect us from the next spike” to something closer to ordinary enterprise IT planning: replace what’s aging, move to the cloud, and get real, working value out of AI rather than chasing the next volatility headline.
What’s Actually Filling the 2026 Budget Line
Strip out the volatility narrative and four things are doing the heavy lifting in current CTRM/ETRM buying decisions:
- Legacy replacement. A meaningful share of installed systems predate cloud-native architecture entirely, and vendors are competing hardest on migration paths off them, not on crisis features.
- Cloud and subscription delivery. Buyers increasingly want CTRM/ETRM as a subscribed service rather than an owned, self-hosted platform — which changes both the sales cycle and how quickly a firm can actually go live.
- Regulatory and reporting load. Position reporting, emissions and carbon accounting, and jurisdiction-specific disclosure rules keep expanding, and manual reconciliation for those requirements is one of the clearer, quantifiable reasons to modernize.
- AI moving from pilot to production. The report frames this as AI’s “progression from promises to practical implementation” — fewer proof-of-concept demos, more AI doing specific, bounded jobs inside the trade lifecycle: deal capture assistance, exception flagging, scenario narration, and query-style access to position and risk data.
Separately, analysts covering AI in commodity risk this year have been making a related point worth pairing with this: the interesting AI use cases in trading right now are narrow and risk-aware — an assistant that drafts a hedge recommendation for a trader to approve, not one that executes it unsupervised. That’s consistent with a market that’s buying for durability rather than novelty.
The Practical Shift: From Crisis Tool to Core System
If you’re evaluating or budgeting for trading and risk systems this cycle, this shift has a few concrete implications:
Ask about the migration path, not just the feature list. If a vendor’s roadmap is strongest on volatility-era features — real-time mark-to-market dashboards, stress-test scenarios — and weakest on how you actually get off your current platform without a multi-year, high-risk cutover, that’s worth probing before you sign.
Treat regulatory reporting as a modernization driver, not a bolt-on. If your current system needs a spreadsheet layer to produce emissions or position disclosures, that manual step is now a legitimate, budget-worthy reason to replace it — not a minor inconvenience to work around indefinitely.
Scope AI narrowly and measure it. The practical AI deployments succeeding in trading right now are the ones doing one job well — summarizing a counterparty exposure, flagging a deal that breaks a limit, drafting a report — with a human still signing off. If a vendor’s AI story is a single “ask anything” chatbot layered over your data with no clear accuracy benchmark, that’s a pilot, not a production plan yet.
The Takeaway
The headline “CTRM/ETRM market keeps growing” hasn’t changed in years. What’s changed is why. Buyers aren’t primarily reacting to the last price shock anymore — they’re modernizing aging platforms, moving to the cloud, answering harder reporting requirements, and adopting AI in scoped, supervised ways. If your organization is still framing its next trading-system investment as crisis insurance, it’s worth reframing the business case around what’s actually driving the market: durability, compliance, and AI that does one job reliably — not the next spike.
