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2026 annual report11 chaptersSector adoption read

Oil, Gas & Chemicals

Physical AI shifts hazardous inspection from intermittent human observation to persistent, multi-sensor evidence capture with human review.

EU chemical turnover
€635B
Chemical workforce
1.2M
European refineries
74
BASF site area
10 km²
  • EU chemical sector: €635B turnover, 1.2M employees
  • 74 mainstream refineries across EU-27, UK, Norway, Switzerland
  • Confined-space drones deployed at Shell, Equinor, BASF
  • EU methane regime driving auditable leak detection
01·Chapter

Why Now

The pressure that makes this sector move now.

Oil, gas, and chemicals matter because they combine strategic economic weight with unusually intense safety, integrity, and operational demands. Europe’s chemical industry alone remains a major industrial pillar, while refining still underpins fuel, feedstock, and supply-chain resilience even as the sector faces portfolio rationalization and decarbonization pressure. These are not niche operations. They are large, regulated, capital-intensive systems whose failure can have consequences for safet
The sector is also structurally diverse. “Oil, gas, and chemicals” in this context includes large refineries, petrochemical complexes, terminals, tank farms, specialty-chemicals sites, utilities islands, and various hazardous process environments. Some sites are highly integrated and continuous; others are logistics-heavy and spatially dispersed. But they share a common reality: large amounts of critical equipment distributed across difficult, hazardous, or access-heavy environments that still r
The operating model in these industries is already highly automated in the control room and at the process-control layer. DCS, SIS, historians, fixed sensors, and process automation are mature compared with many other industries. The gap is outside the control room: field rounds, visual checks, route inspections, leak surveys, roof inspections, vessel entry, and verification of what the plant physically looks and sounds like right now. This asymmetry is exactly why physical AI matters. It fills

If the pressure is real, the next question is what actually changes on the floor.

02·Chapter

Transformation Thesis

What actually changes, stated plainly.

manual, intermittent, operator-centric field inspection

  1. 01

    What changes operationally

    Operationally, four things change.

  2. 02

    What changes economically

    Economically, physical AI changes the cost structure of knowing asset condition. In these industries, information is often expensive because it sits behind scaffolding, rope access, permit systems, travel time, vessel entry, or hazardous-area exposur

  3. 03

    Which parts of the value chain move first

    The order of change is likely to be:

  4. 04

    What remains hard to automate

    What remains hard is exactly what one would expect: ad hoc diagnosis, multi-step corrective maintenance, dexterous intervention in cluttered live environments, unsupervised high-consequence action, and broad autonomous decision-making in hazardous zo

That thesis only holds if it lands somewhere specific in the work.

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The rest of the 2026 Oil, Gas & Chemicals report

9 more sections — the workflow map, use-case atlas, technology stack, vendor landscape, economics and adoption timeline. Free account, and you also get the daily evidence digest.

  • 01Workflow Map
  • 02Value Today
  • 03Use Case Atlas
  • 04Technology Stack
  • 05Vendor Ecosystem
  • 06Economics & Business Case
  • 07Risks & Readiness
  • 08Adoption Timeline
  • 09Frequently Asked Questions
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