Press release
AI In Oil And Gas Market to Hit USD 7.04 Billion by 2030, Growth Driven by Predictive Maintenance, Offshore Monitoring, and Rising Cloud & Edge Deployments
AI in Oil & Gas Market Size & Trends | Mordor Intelligence
Key Growth Drivers of the AI In Oil And Gas Market
The AI In Oil And Gas Market size is estimated at USD 3.79 billion in 2025, and is expected to reach USD 7.04 billion by 2030, at a CAGR of 13.20% during the forecast period (2025-2030). The market growth reflects the rising adoption of artificial intelligence tools across the oil and gas value chain, particularly in upstream operations where exploration, drilling, and production processes benefit from real-time data insights and predictive models.
The demand for improved operational efficiency, minimized downtime, and stricter environmental, health, and safety compliance is driving companies to invest heavily in AI-enabled solutions. In the AI In Oil And Gas Market, real-time analytics, autonomous drilling systems, and advanced modeling techniques are increasingly being integrated into field operations, making AI a core component of decision-making and efficiency improvement strategies in the industry.
Report Overview: https://www.mordorintelligence.com/industry-reports/ai-market-in-oil-and-gas?utm_source=openpr
Key Trends in AI In Oil And Gas Market Trends
1.Real-time and Edge Analytics Enhancing Upstream Efficiency
AI tools that perform analytics at or near the source (edge) are being widely adopted to monitor fractures in real time, adjust drilling parameters dynamically, and reduce delays. These trends are pushing faster insights for well-placement decisions and for managing complex subsurface conditions.
2.Growing Use of Predictive Maintenance
In many operations, unplanned equipment failure accounts for loss in production and higher costs. AI-based predictive maintenance systems are helping detect issues before they lead to failures, thereby reducing unplanned downtime and maintenance costs. The share of applications in predictive maintenance is already large.
3.Rise of Machine Learning Techniques & Deep Learning
Traditional machine learning methods currently dominate AI In Oil And Gas Market share, but deep learning is growing quickly. Increasing computational power and more abundant labeled data are helping to create more accurate models, especially when dealing with complex geological, seismic, or sensor data.
4.Offshore and Environmental Monitoring
AI is being applied more in offshore operations, which are typically costlier and riskier. Additionally, environmental monitoring, especially methane leak detection, is becoming a trend both for regulatory compliance and for cost savings. These use-cases are influencing AI In Oil And Gas Market trends toward improved sensing, detection algorithms, and remote monitoring.
Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/bridge-construction-market?utm_source=openpr
Market Segmentation
AI In Oil And Gas Market Segmentation
By Operation
Upstream
Midstream
Downstream
By Solution Type
Platform
Services
By Asset Location
Onshore
Offshore
By Application
Quality Control
Production Optimisation
Predictive Maintenance
And more
By AI Technique
Machine Learning
Deep Learning
Computer Vision
and more
By Deployment Mode
Cloud
On-Premises
And more
By Geography
South America
Europe
Asia-Pacific
And more
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Key Players of AI In Oil And Gas Market
C3.ai Inc. - A US-based enterprise AI software provider offering scalable AI solutions for predictive maintenance, asset reliability, and energy optimization in oil and gas.
SparkCognition Inc. - Specializes in AI-driven analytics and machine learning platforms that support predictive maintenance, safety, and production optimization.
Uptake Technologies Inc. - Provides industrial AI and IoT solutions that help oil and gas firms enhance asset performance, reduce downtime, and improve operational efficiency.
Tachyus Corporation - Focuses on data-driven optimization tools for reservoir management and production forecasting to maximize oil and gas recovery.
Akselos SA - Known for its digital twin technology, enabling real-time structural simulations and predictive maintenance for critical oil and gas infrastructure.
Conclusion
The evidence shows that the AI In Oil And Gas Market is on track for strong growth over the coming years. With rising operational costs, increasing environmental and safety pressures, and the growing volume of data from sensors and field operations, the demand for AI tools to interpret and act on this data will continue to expand. Predictive maintenance, offshore monitoring, and improved subsurface insights are expected to become standard practices, while companies that invest early in platforms, domain-aware talent, and practical high-value use cases are likely to capture a larger share of the AI In Oil And Gas Market size. By 2030, AI solutions are anticipated to spread more evenly across the value chain from upstream and offshore to downstream and midstream making it clear that for stakeholders, adopting AI as a core part of operational strategy will be essential to remain competitive.
For complete market analysis, please visit the Mordor Intelligence page: https://www.mordorintelligence.com/industry-reports/ai-market-in-oil-and-gas?utm_source=openpr
Industry Related Reports:
Digital Transformation In Oil And Gas Industry
Digital Transformation Market in the Oil and Gas Industry is Segmented by Component (Hardware, Software, and Services), Technology (Analytics, AI and ML, and More), Application (Upstream, Midstream, and Downstream), Deployment Mode (On-Premises and Cloud), by Geography.
Get more insights: https://www.mordorintelligence.com/industry-reports/global-digital-transformation-market?utm_source=openpr
Oil & Gas Automation Market
The Oil & Gas Automation Market Report is Segmented by Component (Hardware, Software, and Services), Process (Upstream, Midstream, and Downstream), Technology (Sensors and Transmitters, Distributed Control Systems (DCS), and More), Application (Drilling and Completion, Production and Well Optimization, and More), and Geography.
Get more insights: https://www.mordorintelligence.com/industry-reports/oil-and-gas-automation-market?utm_source=openpr
Agentic AI In Energy And Utilities Market
The Agentic AI in Energy and Utilities Market Report is Segmented by Solution Type (Predictive-Maintenance AI Platforms, Energy-Optimization AI Software, and More), Deployment Model (On-Premise, Cloud, Hybrid), Application Area (Power Generation, Transmission and Distribution, and More), End-User Industry (Electric Utilities, Oil and Gas Companies, and More), and Geography.
Get more insights: https://www.mordorintelligence.com/industry-reports/agentic-artificial-intelligence-in-energy-and-utilities-market?utm_source=openpr
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