Energy & Environment Industry Today

AI in Refinery Optimization Market to Reach USD 4.74 Billion by 2035 from USD 860 Million in 2025 at an 18.6% CAGR - SRI

The AI in Refinery Optimization market size was valued at USD 860 million in 2025 and is anticipated to reach USD 4.74 billion by 2035, growing at a CAGR of 18.6% during the forecast period.
Published 20 October 2026

London, UK - October 2026 | Strategic Revenue Insights Inc. - Pressure on refining margins, AI adoption in new refining complexes, and emissions targets are driving rapid growth in AI-based refinery optimization. According to Strategic Revenue Insights, the global ai in refinery optimization market was valued at USD 860 million in 2025 and is projected to reach USD 4.74 billion by 2035, registering a CAGR of 18.6%. The report was prepared by lead analyst Sandeepa Kulkarni. The source report does not disclose detailed methodology, including the number of primary interviews or the specific secondary datasets used.

Key Takeaways

  • Market value is projected to rise from USD 860 million in 2025 to USD 4.74 billion by 2035, at a CAGR of 18.6%.
  • Yield and energy optimization is the largest application, and machine learning is the leading technology with a 35% share.
  • Complex (cracking and coking) refineries account for a 50% share, while integrated refining and petrochemical sites grow fastest.
  • Asia Pacific is the largest region with a 30% share in 2025 and also the fastest-growing at a 19.8% CAGR.
  • Named market participants include AspenTech (Emerson), Honeywell, and Yokogawa Electric.

Report URL: https://www.strategicrevenueinsights.com/industry/ai-in-refinery-optimization-market

Margins and Emissions Targets Drive Refinery AI Adoption

Refining margins are a key driver, as AI provides real-time data analysis, predictive maintenance, and efficient energy use that directly improve margins and make investment financially attractive for operators.

AI adoption in new refining complexes and emissions targets are further drivers. Yield and energy optimization is the largest application, driven by the need to raise operational efficiency and meet emissions goals, and complex refineries hold a 50% share.

Market Segmentation

By Offering: Software and Services.

By Application: Closed-Loop Process Control, Crude Selection & Blending, Yield & Energy Optimization, Predictive Maintenance, Planning & Scheduling, and Emissions Reduction. Yield and energy optimization is the largest.

By Technology: Machine Learning, Reinforcement Learning, Hybrid Physics-AI Models, and Digital Twins. Machine learning leads with 35%.

By Refinery Type: Simple (Hydroskimming), Complex (Cracking & Coking), and Integrated Refining & Petrochemical. Complex refineries hold 50%.

Regional Outlook

The report covers North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Asia Pacific leads with a 30% share in 2025 and is also the fastest-growing region at a 19.8% CAGR, followed by North America at 25% and Europe at 20%. The source provides no further region-specific market values or growth rates.

Competitive Landscape

The report names AspenTech (Emerson), Honeywell, Yokogawa Electric, Emerson Electric, Imubit, AVEVA, and Siemens as key companies. SRI estimates that the five largest companies hold about 46% of global revenue; Honeywell holds a 10% share, Yokogawa Electric 9%, Emerson Electric 8%, Imubit 7%, AVEVA 6%, and Siemens 5%.

Market Restraints

High initial costs and data security concerns are the main restraints, alongside cybersecurity risks, regulatory uncertainty, and economic downturns that affect capital spending.

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Frequently Asked Questions

What is the size of the ai in refinery optimization market in 2025?

The global market is valued at USD 860 million in 2025.

What will be the market size by 2035?

The market is projected to reach USD 4.74 billion by 2035.

What is the expected CAGR of the ai in refinery optimization market?

The market is projected to expand at a CAGR of 18.6% from 2026 to 2035.

Which segment is largest in the ai in refinery optimization market?

Yield and energy optimization is the largest application segment, and machine learning leads technologies with a 35% share.

Which region leads the ai in refinery optimization market?

Asia Pacific leads with a 30% share in 2025 and is also the fastest-growing region at a 19.8% CAGR, followed by North America at 25% and Europe at 20%.

About Strategic Revenue Insights Inc.

Strategic Revenue Insights Inc., part of SRI Consulting Group Ltd, is a London-headquartered market intelligence firm that helps organizations across industries and geographies make evidence-based revenue and strategy decisions. The firm produces syndicated research reports and customized consulting engagements built on rigorous market sizing, forecasting, and competitive benchmarking, drawing on a globally connected team of analysts and consultants.

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