Summary

AI in Oil and Gas Market Size
The global AI in oil and gas market size was valued at $3.67 billion in 2024 and is projected to reach $7.85 billion by 2030, growing at a CAGR of 13.5% during the forecast period.

AI in Oil and Gas Market Overview
AI in oil and gas refers to the application of artificial intelligence technologies within the petroleum industry to enhance operational efficiency, optimize production processes, and improve decision-making. In this context, AI systems analyze vast amounts of data collected from sensors, equipment, and geological surveys to identify patterns, predict equipment failures, and optimize drilling and exploration activities. AI algorithms are used to interpret seismic data more accurately, enabling better exploration of potential oil and gas reserves. In production operations, AI-powered systems monitor and control equipment performance in real-time, detecting anomalies and optimizing production outputs while minimizing downtime and operational costs. Additionally, AI plays a crucial role in safety and environmental monitoring, helping to mitigate risks and ensure compliance with regulatory standards.

AI in Oil and Gas Market Dynamics
• The AI in oil and gas market is expected to witness significant growth in the future due to increasing demand for enhanced operational efficiency, growing adoption of digital technologies and IoT, and cost reduction.
• Additionally, the rising complexity in exploration and production activities, focus on predictive maintenance and asset optimization, and regulatory pressure and environmental sustainability goals are the prominent factors driving the growth of the AI in oil and gas market.
• However, the high initial investment and implementation costs, data privacy and cybersecurity concerns, and resistance to technological change and workforce readiness are restraining the market growth.
• On the contrary, the integration of AI with advanced analytics for real-time decision-making, expansion of smart oilfield technologies and digital twins, and optimization of production processes and reservoir management are creating opportunities for market growth.

By Type, the Software Segment is anticipated to Exhibit Significant Growth Rate in the AI in Oil and Gas Market
The software segment is expected to grow at a high growth rate in the AI in oil and gas market during the forecast period owing to the desire to optimize operations, increase efficiency, and reduce costs. AI software systems allow predictive maintenance, real-time data analysis, and advanced modeling, helping businesses to avoid equipment breakdowns and save downtime. These capabilities improve asset management and operational efficiency, which is critical in an industry with high operating costs and complex logistics. Furthermore, AI improves decision-making by offering insights into reservoir management, production optimization, and supply chain logistics, resulting in better resource allocation and a lower environmental footprint. The capacity of AI software to analyze massive volumes of data rapidly and precisely assists businesses in navigating market volatility and regulatory restrictions, which drives its demand in the oil and gas sector.

By Geography, North America Constitutes Immense Share with the AI in Oil and Gas Market
North America holds a prominent share of the AI in oil and gas market during the forecast period due to the region benefits from a robust economy, widespread adoption of AI technologies by oilfield operators, a strong presence of top AI software and system providers, and collaborative investments by government and private sectors to support R&D activities. AI technologies enable predictive maintenance, improve exploration accuracy, and streamline production processes. As the industry faces challenges such as fluctuating oil prices and environmental concerns, AI offers solutions that increase productivity and sustainability. Moreover, the integration of AI in data analytics helps companies make informed decisions, minimizing risks and maximizing returns. The growing investment in AI by key industry players underscores its critical role in maintaining a competitive edge, further fueling its adoption in the region.
• According to the US EIA, the United States has been the largest producer of crude oil for the past six years. In 2023, average daily crude oil production, including condensate, reached 12.9 million barrels.

Key Target Audience:
• Oil and Gas Companies
• Technology Vendors and Solution Providers
• Research Institutions and Academia
• Regulatory Bodies and Governments
• Service Providers and Consultants

List of the Key Players Profiled in the Report Includes:
• IBM
• Intel
• Microsoft
• Accenture
• Google
• Microsoft
• Oracle
• Numenta
• Sentient technologies
• Inbenta
• General Vision
• Cisco

Recent Developments:
• In July 2024, Accenture acquired True North Solutions to enhance clients' ability to produce and transport energy more safely and efficiently. This acquisition expands Accenture's expertise in operational technology (OT) for the oil, gas, and mining industries. OT encompasses the hardware and software systems that companies use to operate and control physical equipment and facilities, such as pipelines, refineries, plants, and mines. With this acquisition, Accenture aims to help clients better integrate their OT with enterprise IT systems, optimizing the performance and safety of existing equipment and facilities through real-time data analytics.

Market Segmentation:
The research report includes in-depth coverage of the industry analysis with size, share, and forecast for the below segments:

Market by, Type:
• Hardware
• Services
• Software

Market by, Function:
• Field Services
• Material Movement
• Predictive Maintenance and Machinery Inspection
• Production Planning
• Quality Control
• Reclamation

Market by, Application:
• Downstream
• Midstream
• Upstream

Market by, Geography:
The AI in oil and gas market report also analyzes the major geographic regions and countries of the market. The regions and countries covered in the study include:
• North America (The United States, Canada, Mexico), Market Estimates, Forecast & Opportunity Analysis
• Europe (Germany, France, UK, Italy, Spain, Rest of Europe), Market Estimates, Forecast & Opportunity Analysis
• Asia Pacific (China, Japan, India, South Korea, Australia, New Zealand, Rest of Asia Pacific), Market Estimates, Forecast & Opportunity Analysis
• South America (Brazil, Argentina, Chile, Rest of South America), Market Estimates, Forecast & Opportunity Analysis
• Middle East & Africa (UAE, Saudi Arabia, Qatar, Iran, South Africa, Rest of Middle East & Africa), Market Estimates, Forecast & Opportunity Analysis

Scope of the Report:
The report “Global AI in Oil and Gas Market: Industry Analysis, Opportunities and Forecast up to 2030” by Diligence Insights provides a detailed analysis of the present market and future outlook with market estimates and forecasts for all specified segments, encompassing both global and regional perspectives as outlined within the research framework. The study includes historical market data for the years 2022, 2023 and offers revenue estimations for 2024, and project forecasts spanning from 2025 to 2030. It places significant emphasis on the examination of market trends, key industry participants, supply chain developments, technological advancements, pivotal milestones, and prospective strategies. Comprehensive market assessments are carried out across major geographic regions, including North America, Europe, Asia Pacific, South America, and Middle East & Africa. As such, this report constitutes a valuable resource for current industry stakeholders, newcomers to the field, and potential investors.

The study offers an in-depth market analysis, drawing insights from industry experts across the value chain. A special focus has been made on 25 countries, including the United States, Canada, Mexico, the United Kingdom, Germany, Spain, France, Italy, China, Brazil, Saudi Arabia, and South Africa, among others. The market data has been meticulously collected through extensive primary interviews and comprehensive secondary research. Market size determination is rooted in the revenue generated from sales across all the specified segments and sub-segments as defined within the research scope. The market sizing analysis includes both top-down and bottom-up approaches for data validation and accuracy measures.

The report offers insights into the following aspects:
• Analysis of major market trends, factors driving, restraining, threatening, and providing opportunities for the market.
• Analysis of the market structure by identifying various segments and sub-segments of the market.
• Understand the revenue forecast of the market for North America, Europe, Asia-Pacific, South America, and Middle East & Africa.
• Analysis of opportunities by identification of high-growth segments/revenue pockets in the market.
• Understand major player profiles in the market and analyze their business strategies.
• Understand competitive developments such as joint ventures, alliances, mergers and acquisitions, and new product launches in the market.

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Table of Contents

1 Market Introduction
1.1 Market Definition
1.2 Research Scope and Segmentation
1.3 Stakeholders
1.4 List of Abbreviations

2 Executive Summary

3 Research Methodology
3.1 Identification of Data
3.2 Data Analysis
3.3 Verification
3.4 Data Sources
3.5 Assumptions

4 Market Dynamics
4.1 Market Drivers
4.2 Market Restraints
4.3 Market Opportunities
4.4 Market Challenges

5 Porter's Five Force Analysis
5.1 Bargaining Power of Suppliers
5.2 Bargaining Power of Buyers
5.3 Threat of New Entrants
5.4 Threat of Substitutes
5.5 Competitive Rivalry in the Market

6 Global AI in Oil and Gas Market by, Type
6.1 Overview
6.2 Hardware
6.3 Services
6.4 Software

7 Global AI in Oil and Gas Market by, Function
7.1 Overview
7.2 Field Services
7.3 Material Movement
7.4 Predictive Maintenance and Machinery Inspection
7.5 Production Planning
7.6 Quality Control
7.7 Reclamation

8 Global AI in Oil and Gas Market by, Application
8.1 Overview
8.2 Downstream
8.3 Midstream
8.4 Upstream

9 Global AI in Oil and Gas Market by, Geography
9.1 Overview
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 France
9.3.3 UK
9.3.4 Italy
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 South Korea
9.4.5 Australia
9.4.6 New Zealand
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Brazil
9.5.2 Argentina
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 UAE
9.6.2 Saudi Arabia
9.6.3 Qatar
9.6.4 Iran
9.6.5 South Africa
9.6.6 Rest of Middle East & Africa

10 Key Developments

11 Company Profiling
11.1 IBM
11.1.1 Business Overview
11.1.2 Product/Service Offering
11.1.3 Financial Overview
11.1.4 SWOT Analysis
11.1.5 Key Activities
11.2 Intel
11.3 Microsoft
11.4 Accenture
11.5 Google
11.6 Microsoft
11.7 Oracle
11.8 Numenta
11.9 Sentient technologies
11.10 Inbenta
11.11 General Vision
11.12 Cisco