Generative AI in Oil & Gas Market Analysis

ID: MRFR/ICT/10669-HCR

128 Pages

Aarti Dhapte

October 2025

Generative AI in Oil & Gas Market Research Report By Function (Data Analysis and Interpretation, Predictive Modeling, Anomaly Detection, Decision Support, and Others), Application (Asset Maintenance, Drilling Optimization, Exploration & Production, Reservoir Modeling), Deployment (On-Premise, and Cloud-Based), End-User (Oil & Gas Companies, Drilling Contractors, Equipment Manufactur...

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Market Analysis

In-depth Analysis of Generative AI in Oil & Gas Market Industry Landscape

In the realm of the oil and gas industry, the integration of generative artificial intelligence (AI) brings forth a myriad of market factors that shape its adoption and impact. Firstly, cost efficiency emerges as a paramount consideration. Generative AI has the potential to streamline operations, optimize processes, and enhance decision-making, thereby reducing operational costs significantly. This cost-effectiveness is particularly appealing in an industry known for its high capital investments and tight profit margins.

Moreover, the demand for enhanced productivity and efficiency serves as another crucial market factor. Generative AI technologies can analyze vast amounts of data to identify patterns, predict equipment failures, and optimize production schedules. By automating repetitive tasks and offering insights into complex systems, these AI solutions empower oil and gas companies to achieve higher levels of productivity and operational efficiency.

Furthermore, the increasing emphasis on safety and risk management drives the adoption of generative AI in the oil and gas market. The ability of AI systems to monitor equipment health in real-time, detect anomalies, and predict potential hazards contributes significantly to maintaining a safe working environment. By mitigating risks and preventing accidents, these technologies help companies comply with stringent safety regulations and safeguard both personnel and assets.

Additionally, the growing focus on sustainability and environmental responsibility plays a significant role in shaping the market dynamics of generative AI in the oil and gas sector. These technologies enable companies to optimize resource utilization, minimize waste, and reduce environmental impact. By optimizing processes and reducing emissions, generative AI contributes to the industry's efforts towards sustainable development and mitigating the environmental footprint of oil and gas operations.

Moreover, the competitive landscape and market dynamics also influence the adoption of generative AI in the oil and gas sector. As companies seek to gain a competitive edge and differentiate themselves in the market, investing in advanced technologies such as generative AI becomes imperative. Early adopters of these technologies can capitalize on their benefits to improve operational efficiency, increase production, and enhance their market position.

Furthermore, regulatory compliance serves as a significant market factor driving the adoption of generative AI in the oil and gas industry. With ever-evolving regulations governing safety, environmental protection, and data security, companies need robust solutions to ensure compliance. Generative AI systems offer advanced analytics capabilities that enable companies to monitor and report on various regulatory requirements effectively.

Additionally, the global economic landscape and market trends influence the adoption of generative AI in the oil and gas sector. Economic fluctuations, supply-demand dynamics, and geopolitical factors all impact investment decisions and resource allocations within the industry. As companies navigate through market uncertainties, they seek innovative solutions such as generative AI to optimize operations, mitigate risks, and maintain profitability.

1. Market Overview

2. Market Trends

3. Market Segment Insights

4. Key Players and Competitive Insights

5. Industry Developments

6. Market Segmentation

7. Report Scope

8. Market Highlights

9. FAQs

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Market Summary

As per Market Research Future Analysis, the Generative AI in Oil & Gas Market is projected to grow from USD 601.82 million in 2025 to USD 2307.02 million by 2035, with a CAGR of 14.38% during the forecast period. The market was valued at USD 526.16 million in 2024. Key drivers include the growing demand for exploration and production optimization and the need for data generation and augmentation. Generative AI enhances decision-making by creating accurate models of subsurface reservoirs and generating synthetic data to overcome challenges in real-world data collection.

Key Market Trends & Highlights

The Generative AI in Oil & Gas Market is witnessing significant growth driven by technological advancements and industry needs.

Market Size in 2024: USD 526.16 million. Projected Market Size by 2035: USD 2307.02 million. CAGR during 2025-2034: 14.38%. North America accounted for USD 115 million in 2022, holding a 31.76% market share.

Generative AI in Oil & Gas Market

CAGR

14.38%

Market Size & Forecast

2024 Market Size	USD 526.16 million
2035 Market Size	USD 2307.02 million
CAGR	14.38%

Major Players

Key players include Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, and Google.

Market Trends

The integration of generative AI technologies in the oil and gas sector appears to enhance operational efficiency and decision-making processes, potentially leading to more sustainable practices and reduced environmental impact.

U.S. Department of Energy

Generative AI in Oil & Gas Market Market Drivers

Market Growth Projections

The Global Generative AI in Oil & Gas Market Industry is poised for substantial growth, with projections indicating a market value of 524.8 USD Million in 2024 and an anticipated increase to 2307.0 USD Million by 2035. This growth trajectory suggests a compound annual growth rate (CAGR) of 14.41% from 2025 to 2035. Such figures underscore the increasing adoption of generative AI technologies across the industry, driven by the need for enhanced efficiency, sustainability, and innovation. As companies continue to invest in AI solutions, the market is likely to expand significantly, reflecting the transformative potential of these technologies.

Increased Operational Efficiency

The Global Generative AI in Oil & Gas Market Industry is witnessing a surge in demand for operational efficiency. Generative AI technologies enable companies to optimize drilling operations, enhance predictive maintenance, and streamline supply chain management. For instance, AI-driven analytics can reduce downtime by predicting equipment failures, thus saving costs. In 2024, the market is valued at 524.8 USD Million, reflecting the industry's commitment to leveraging advanced technologies for improved performance. As companies increasingly adopt these solutions, the potential for enhanced productivity and reduced operational costs becomes evident, positioning the industry for sustainable growth.

Enhanced Data Analysis Capabilities

The Global Generative AI in Oil & Gas Market Industry benefits significantly from advancements in data analysis capabilities. With vast amounts of data generated from exploration and production activities, generative AI tools can analyze complex datasets to uncover insights that were previously unattainable. This capability allows for better decision-making and risk management. Companies are increasingly utilizing AI to interpret geological data, leading to more accurate resource estimations. As the industry evolves, the reliance on sophisticated data analysis tools is likely to grow, further driving the market's expansion.

Integration of IoT and AI Technologies

The convergence of Internet of Things (IoT) and generative AI technologies is reshaping the Global Generative AI in Oil & Gas Market Industry. IoT devices collect real-time data from various operations, which generative AI can analyze to enhance decision-making processes. This integration allows for real-time monitoring and predictive analytics, leading to improved operational efficiency. As the industry embraces digital transformation, the synergy between IoT and AI is expected to drive innovation and create new business models. This trend is likely to contribute to the market's growth, with a projected CAGR of 14.41% from 2025 to 2035.

Investment in Research and Development

Investment in research and development (R&D) is a critical driver for the Global Generative AI in Oil & Gas Market Industry. Companies are allocating substantial resources to explore innovative applications of generative AI, aiming to enhance exploration techniques and optimize production processes. This focus on R&D not only fosters technological advancements but also positions firms competitively in a rapidly evolving market. As the industry seeks to address challenges such as resource depletion and operational inefficiencies, the commitment to R&D is likely to yield significant returns, further propelling market growth.

Growing Demand for Sustainable Practices

The Global Generative AI in Oil & Gas Market Industry is increasingly influenced by the demand for sustainable practices. As environmental concerns rise, companies are turning to generative AI to develop cleaner extraction methods and optimize resource usage. For example, AI can assist in designing processes that minimize waste and reduce emissions. This shift towards sustainability is not only a response to regulatory pressures but also aligns with the industry's long-term viability. The market is projected to reach 2307.0 USD Million by 2035, indicating a robust growth trajectory fueled by sustainability initiatives.

Market Segment Insights

Generative AI in Oil & Gas Market- Function Insights

The Generative AI in Oil & Gas Market segmentation, based on Function, includes Data Analysis and Interpretation, Predictive Modelling, <a href="https://www.marketresearchfuture.com/reports/anomaly-detection-market-5756">Anomaly Detection</a>, Decision Support, and Others. The Data Analysis and Interpretation segment held the majority share in 2022 in the Generative AI in Oil & Gas Market data and is projected to be the fast-growing segment in the forecast period. Data analysis and interpretation segment plays an important role in the application of Generative AI in the Oil & Gas market. This segment involves using generative models to analyze complex datasets and interpret the insights gained from them.

The Oil & Gas industry generates vast amounts of data from sources such as sensors, equipment logs, seismic surveys, and production records. Generative AI can be used to process and analyze this complex data to extract meaningful patterns, correlations, and anomalies. Geological data, such as seismic data and well logs, can be challenging to interpret. <a href="https://www.marketresearchfuture.com/reports/generative-ai-market-11879">Generative AI</a> models can help geologists and engineers analyze these data types to identify potential reservoirs, predict rock formations, and assess drilling sites more accurately.

Generative AI in Oil & Gas Market- Application Insights

The Generative AI in Oil & Gas Market segmentation, based on Application, includes Asset Maintenance, Drilling Optimization, Exploration and Production, Reservoir Modelling, and Others. The Asset Maintenance segment dominated the market growth in 2022 and is projected to be the faster-growing segment during the forecast period, 2023-2032. The Asset Maintenance segment is a crucial area of application for Generative AI in the Oil & Gas market. It involves utilizing generative models to optimize the maintenance, reliability, and performance of equipment and assets used in exploration, drilling, production, and distribution.

Generative AI models analyze data from sensors, equipment logs, and historical maintenance records to predict when equipment is likely to fail. This enables proactive maintenance scheduling, reducing downtime, and preventing costly unplanned shutdowns. Generative AI identifies patterns and anomalies in equipment data that might indicate impending failures. This early warning system allows operators to take preventive actions to mitigate the risks associated with equipment breakdowns.

FIGURE 2: GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2023 & 2032 (USD MILLION)

Generative AI in Oil & Gas Market – Deployment Mode Insights

The Generative AI in Oil & Gas Market segmentation, based on Deployment Mode, includes on-premise, and cloud based. The on-premise segment held the majority share in 2022 in the Generative AI in Oil & Gas Market data and is projected to be the fast-growing segment in the forecast period. The Cloud-based segment in Generative AI for the Oil & Gas market refers to the deployment and utilization of generative AI solutions on cloud computing platforms.

This approach offers numerous advantages to the industry, given the data-intensive and computationally demanding nature of Oil & Gas operations. Cloud platforms provide the ability to scale up or down resources as needed. This is particularly beneficial for Oil & Gas applications that require substantial computational power for training complex generative AI models or processing large datasets.

Generative AI in Oil & Gas Market – End User Insights

The Generative AI in Oil & Gas Market segmentation, based on End User includes Oil & Gas Companies, Drilling Contractors, Equipment Manufacturers, Service Providers, and Consulting Firms. The Oil & Gas Companies held the majority share in 2022 in the Generative AI in Oil & Gas Market data and is projected to be the fast-growing segment in the forecast period. Generative AI can assist oil and gas companies in modeling and simulating reservoir behavior, optimizing drilling techniques, and predicting oil and gas reserves.

This aids in making informed decisions about exploration and production strategies. Oil and gas companies use generative AI for predictive maintenance, where algorithms analyze equipment data to predict potential failures.

Get more detailed insights about Generative AI in Oil & Gas Market Research Report – Forecast till 2034

Regional Insights

By region, the study provides the market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America Generative AI in Oil & Gas Market accounted for USD 115 million in 2022 with a share of around 31.76% and is expected to exhibit a significant CAGR growth during the study period. The Oil & Gas industry in North America generates vast amounts of data from exploration, production, refining, and distribution processes.

Generative AI thrives on data, and the abundance of it in the region provides a fertile ground for its application. As advancements in AI and machine learning occur, they naturally find application in industries like Oil & Gas. Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 3: GENERATIVE AI IN OIL & GAS MARKET SHARE BY REGION, 2023 & 2032 (USD Million)

Generative AI in Oil & Gas Market Regional Insights

Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

Europe Generative AI in Oil & Gas Market accounts for the second-largest market share. Europe is known for its technological prowess and innovation. As Generative AI represents a cutting-edge application of AI and machine learning, European companies and institutions are keen to adopt and harness its potential. Generative AI can help the Oil & Gas industry model and optimize processes to reduce environmental impact, aligning with the region's environmental goals.

Moreover, Germany Generative AI in Oil & Gas Market held the largest market share, and the UK Generative AI in Oil & Gas Market was the fastest growing market in the European region.

Asia-Pacific Generative AI in Oil & Gas Market accounts for the third-largest market share and is projected to continue increasing due to rapid technological adoption and diverse geological conditions. Asia-Pacific countries are embracing advanced technologies to enhance various industries. Generative AI's potential for data analysis, optimization, and prediction aligns with the region's technological ambitions. The region features diverse geological formations, presenting unique challenges for oil and gas exploration and production. Generative AI's ability to model and simulate these conditions is valuable in optimizing operations.

Further, the China Generative AI in Oil & Gas Market held the largest market share, and the India Generative AI in Oil & Gas Market was the fastest growing market in the region.

The Middle East & Africa Generative AI in Oil & Gas Market is rapidly growing due to its energy-centric economy and resource optimization. The Middle East is a major global hub for oil and gas production. Given the region's economic reliance on these resources, there is a strong incentive to adopt advanced technologies like Generative AI to enhance operational efficiency and competitiveness. Given the region's role as a major oil exporter, optimizing the extraction and production processes becomes paramount. Petroleum AI Applications assists in optimizing production and refining processes, leading to cost savings and improved resource management.

Also, The South America Generative AI in Oil & Gas Market is growing due to resource-rich region and exploration potential. South America is rich in oil and gas resources, making it a significant player in the global energy market. The adoption of advanced technologies like Generative AI can enhance resource extraction and operational efficiency. Generative AI's ability to model subsurface conditions and optimize drilling techniques is particularly relevant in South America.

Key Players and Competitive Insights

Major market players are spending a lot of money on R&D to increase their product lines, which will help the Generative AI in Oil & Gas Market grow even more. Market participants are also taking a range of strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, mergers and acquisitions, contractual agreements, increased investments, and collaboration with other organizations. Competitors in the Generative AI in Oil & Gas industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment.

One of the primary business strategies adopted by manufacturers in the global Generative AI in Oil & Gas industry to benefit clients and expand the market sector is to manufacture locally to reduce operating costs. In recent years, Generative AI in Oil & Gas industry has provided Technology segment with some of the most significant benefits. The Generative AI in Oil & Gas Market major player such as Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, and other market players.

Microsoft Corporation is one of the world's largest and most influential technology companies. It is heavily invested in AI research and development. It offers AI-powered tools and services like Azure AI, Azure Machine Learning, and Cognitive Services for developers and businesses. In June 2023, Microsoft has collaborated with ExxonMobil provide its advanced digital technologies such as artificial intelligence & machine learning to make ExxonMobil’s Permian operations more efficient & without human intervention.

Key Companies in the Generative AI in Oil & Gas Market market include

Industry Developments

August 2023: Wintershall Dea, the leading independent natural gas & oil companies in Europe is working with IBM Consulting to establish an AI Center of Competence (CoC) and for progressing multiple value-generating AI use cases, to support an efficient energy production & generate energy Industry AI Solutions.

May 2023: SparkCognition's AI algorithms will be used by Shell Plc, the largest oil producer in the U.S. Gulf of Mexico for deep sea exploration & production to increase offshore oil output.

Future Outlook

Generative AI in Oil & Gas Market Future Outlook

The Global Generative AI in Oil & Gas Market is projected to grow at a 14.38% CAGR from 2025 to 2035, driven by technological advancements, operational efficiency, and enhanced data analytics capabilities.

New opportunities lie in:

Develop AI-driven predictive maintenance solutions to reduce downtime and operational costs. Implement generative design algorithms for optimizing drilling and extraction processes. Leverage AI for real-time data analysis to enhance decision-making in exploration and production.

By 2035, the market is expected to be robust, characterized by advanced AI integration and substantial revenue growth.

Market Segmentation

Generative AI in Oil & Gas End-User Outlook (USD Million, 2019-2032)

Oil & Gas Companies
Drilling Contractors
Equipment Manufacturers
Service Providers
Consulting Firms

Generative AI in Oil & Gas Function Outlook (USD Million, 2019-2032)

Data Analysis and Interpretation
Predictive Modelling
Anomaly Detection
Decision Support
Others

Generative AI in Oil & Gas Regional Outlook (USD Million, 2019-2032)

Generative AI in Oil & Gas Application Outlook (USD Million, 2019-2032)

Asset Maintenance
Drilling Optimization
Exploration and Production
Reservoir Modelling
Others

Generative AI in Oil & Gas Deployment Mode Outlook (USD Million, 2019-2032)

On-premise
Cloud-based

Report Scope

Report Attribute/Metric	Details
Market Size 2024	526.15 (USD Million)
Market Size 2025	601.82 (USD Million)
Market Size 2035	2307.02 (USD Million)
Compound Annual Growth Rate (CAGR)	14.38% (2025 - 2035)
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Base Year	2024
Market Forecast Period	2025 - 2035
Historical Data	2019 - 2023
Market Forecast Units	USD Million
Segments Covered	Function, Application, Deployment Mode, End-User, and Region
Geographies Covered	North America, Europe, Asia-Pacific Pacific, Middle East & Africa, and South America
Countries Covered	The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled	Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, and other market players.
Key Market Opportunities	Increased opportunities due to Generative AI’s capability of generating tailored solutions
Key Market Dynamics	Growing demand for exploration and production optimization Rising demand for data generation and augmentation

Market Highlights

Author

Aarti Dhapte

Team Lead - Research

She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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FAQs

How much is the Generative AI in Oil & Gas Market?

The Generative AI in Oil & Gas Market size was valued at USD 526.15 million in 2024.

What is the growth rate of the Generative AI in Oil & Gas Market?

The global market is projected to grow at a CAGR of 14.38% during the forecast period, 2025-2034.

Which region held the largest market share in the Generative AI in Oil & Gas Market?

North America had the largest share in the Generative AI in Oil & Gas Market.

Who are the key players in the Generative AI in Oil & Gas Market?

The key players in the market are Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, and other market players.

Which function led the Generative AI in Oil & Gas Market?

Data Analysis and Interpretation dominated the market in 2022.

Which application had the largest market share in the Generative AI in Oil & Gas Market?

The Asset Maintenance application had the largest share in the global market

Table of Contents
Executive Summary
1. Market Attractiveness Analysis
  1. Global Generative AI in Oil & Gas Market, by Function
  2. Global Generative AI in Oil & Gas Market, by Application
  3. Global Generative AI in Oil & Gas Market, by Deployment Mode
  4. Global Generative AI in Oil & Gas Market, by End-User
  5. Global Generative AI in Oil & Gas Market, by Region
Market Introduction
1. Definition
2. Scope of the Study
3. Market Structure
4. Key Buying Criteria
5. Macro Factor Indicator Analysis
Research Methodology
1. Research Process
2. Primary Research
3. Secondary Research
4. Market Size Estimation
5. Forecast Model
6. List of Assumptions
MARKET DYNAMICS
1. Introduction
2. Drivers
  1. Growing demand for exploration and production optimization
  2. Rising demand for data generation and augmentation
  3. Drivers impact analysis
3. Restraints
  1. Accuracy and reliability of generative AI models heavily depend on the quality of the training data
  2. Restraint impact analysis
4. Opportunities
  1. Increased opportunities due to Generative AI’s capability of generating tailored solutions
5. Challenges
  1. Regulatory and safety concerns
6. Covid-19 Impact Analysis
  1. Impact on Generative AI in Oil & Gas Market
  2. Impact on End Users during the Lockdowns
MARKET FACTOR ANALYSIS
1. Value Chain Analysis/Supply Chain Analysis
2. Porter’s Five Forces Model
  1. Bargaining Power of Suppliers
  2. Bargaining Power of Buyers
  3. Threat of New Entrants
  4. Threat of Substitutes
  5. Intensity of Rivalry
GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION
1. Introduction
2. Data Analysis and Interpretation
3. Predictive Modelling
4. Anomaly Detection
5. Decision Support
6. Others
GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION
1. Introduction
2. Asset Maintenance
3. Drilling Optimization
4. Exploration and Production
5. Reservoir Modelling
6. Others
GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE
1. Introduction
2. On-premise
3. Cloud-based
GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER
1. Introduction
2. Oil & Gas Companies
3. Drilling Contractors
4. Equipment Manufacturers
5. Service Providers
6. Consulting Firms
GLOBAL GENERATIVE AI IN OIL & GAS MARKET SIZE ESTIMATION & FORECAST, BY REGION
1. Introduction
2. North America
  1. Market Estimates & Forecast, by Country, 2018-2032
  2. Market Estimates & Forecast, by Function, 2018-2032
  3. Market Estimates & Forecast, by Application, 2018-2032
  4. Market Estimates & Forecast, by Deployment Mode, 2018-2032
  5. Market Estimates & Forecast, by End-User, 2018-2032
  6. US
  7. Canada
  8. Mexico
3. Europe
  1. Market Estimates & Forecast, by Country, 2018-2032
  2. Market Estimates & Forecast, by Function, 2018-2032
  3. Market Estimates & Forecast, by Application, 2018-2032
  4. Market Estimates & Forecast, by Deployment Mode, 2018-2032
  5. Market Estimates & Forecast, by End-User, 2018-2032
  6. UK
  7. Germany
  8. France
  9. Italy
  10. Spain
  11. Rest of Europe
4. Asia-Pacific
  1. Market Estimates & Forecast, by Country, 2018-2032
  2. Market Estimates & Forecast, by Function, 2018-2032
  3. Market Estimates & Forecast, by Application, 2018-2032
  4. Market Estimates & Forecast, by Deployment Mode, 2018-2032
  5. Market Estimates & Forecast, by End-User, 2018-2032
  6. China
  7. Japan
  8. India
  9. Australia
  10. Rest of Asia-Pacific
5. Rest of the World
  1. Market Estimates & Forecast, by Function, 2018-2032
  2. Market Estimates & Forecast, by Application, 2018-2032
  3. Market Estimates & Forecast, by Deployment Mode, 2018-2032
  4. Market Estimates & Forecast, by End-User, 2018-2032
  5. Middle East & Africa
  6. South America
Competitive Landscape
1. Introduction
2. Key Developments & Growth Strategies
3. Competitor Benchmarking
4. Vendor Share Analysis, 2022(% Share)
COMPANY PROFILES
1. Quantifind
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
2. OpenAI
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
3. Accenture
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
4. DataRobot
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
5. SAS
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
6. IBM
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
7. Microsoft
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
8. Adobe
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
9. NVIDIA
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
10. Intel
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
11. Google
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
12. Others
  1. Company Overview
  2. Financial Overview
  3. Product Offered
  4. Key Developments
  5. SWOT Analysis
  6. Key Strategies
List of Tables and Figures
1. LIST OF TABLES
2. TABLE 1 PRIMARY INTERVIEWS 19
3. TABLE 2 LIST OF ASSUMPTIONS & LIMITATIONS 20
4. TABLE 3 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 21
5. TABLE 4 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 22
6. TABLE 5 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 23
7. TABLE 6 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 24
8. TABLE 7 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY REGION, 2018–2032 (USD MILLION) 25
9. TABLE 8 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 26
10. TABLE 9 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 27
11. TABLE 10 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 28
12. TABLE 11 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 29
13. TABLE 12 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 30
14. TABLE 13 US GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 31
15. TABLE 14 US GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 32
16. TABLE 15 US GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 33
17. TABLE 16 US GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 34
18. TABLE 17 CANADA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 35
19. TABLE 18 CANADA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 36
20. TABLE 19 CANADA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 37
21. TABLE 20 CANADA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 38
22. TABLE 21 MEXICO GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 39
23. TABLE 22 MEXICO GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 40
24. TABLE 23 MEXICO GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 41
25. TABLE 24 MEXICO GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 42
26. TABLE 25 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 43
27. TABLE 26 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 44
28. TABLE 27 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 45
29. TABLE 28 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 46
30. TABLE 29 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 47
31. TABLE 30 UK GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 48
32. TABLE 31 UK GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 49
33. TABLE 32 UK GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 50
34. TABLE 33 UK GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 51
35. TABLE 34 GERMANY GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 52
36. TABLE 35 GERMANY GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 53
37. TABLE 36 GERMANY GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 54
38. TABLE 37 GERMANY GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 55
39. TABLE 38 FRANCE GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 56
40. TABLE 39 FRANCE GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 57
41. TABLE 40 FRANCE GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 58
42. TABLE 41 FRANCE GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 59
43. TABLE 42 SPAIN GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 60
44. TABLE 43 SPAIN GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 61
45. TABLE 44 SPAIN GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 62
46. TABLE 45 SPAIN GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 63
47. TABLE 46 ITALY GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 64
48. TABLE 47 ITALY GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 65
49. TABLE 48 ITALY GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 66
50. TABLE 49 ITALY GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 67
51. TABLE 50 REST OF EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 68
52. TABLE 51 REST OF EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 69
53. TABLE 52 REST OF EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 70
54. TABLE 53 REST OF EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 71
55. TABLE 54 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 72
56. TABLE 55 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 73
57. TABLE 56 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 74
58. TABLE 57 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 75
59. TABLE 58 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 76
60. TABLE 59 CHINA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 77
61. TABLE 60 CHINA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 78
62. TABLE 61 CHINA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 79
63. TABLE 62 CHINA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 80
64. TABLE 63 JAPAN GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 81
65. TABLE 64 JAPAN GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 82
66. TABLE 65 JAPAN GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 83
67. TABLE 66 JAPAN GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 84
68. TABLE 67 INDIA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 85
69. TABLE 68 INDIA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 86
70. TABLE 69 INDIA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 87
71. TABLE 70 INDIA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 88
72. TABLE 71 SOUTH KOREA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 89
73. TABLE 72 SOUTH KOREA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 90
74. TABLE 73 SOUTH KOREA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 91
75. TABLE 74 SOUTH KOREA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 92
76. TABLE 75 REST OF ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 93
77. TABLE 76 REST OF ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 94
78. TABLE 77 REST OF ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 95
79. TABLE 78 REST OF ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 96
80. TABLE 79 REST OF WORLD GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 97
81. TABLE 80 REST OF WORLD GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 98
82. TABLE 81 REST OF WORLD GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 99
83. TABLE 82 REST OF WORLD GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 100
84. TABLE 83 REST OF WORLD GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 101
85. TABLE 84 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 102
86. TABLE 85 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 103
87. TABLE 86 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 104
88. TABLE 87 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 105
89. TABLE 92 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 110
90. TABLE 93 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 111
91. TABLE 94 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY DEPLOYMENT MODE, 2018–2032 (USD MILLION) 112
92. TABLE 95 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2018–2032 (USD MILLION) 113
93. TABLE 96 BUSINESS EXPANSIONS/PRODUCT LAUNCHES 114
94. TABLE 97 PARTNERSHIPS/AGREEMENTS/CONTRACTS/COLLABORATIONS 115
95. TABLE 98 ACQUISITIONS/MERGERS 116
96. TABLE 99 QUANTIFIND : PRODUCTS OFFERED 117
97. TABLE 100 QUANTIFIND : KEY DEVELOPMENT 118
98. TABLE 101 OPENAI : PRODUCTS OFFERED 119
99. TABLE 102 OPENAI : KEY DEVELOPMENT 120
100. TABLE 103 ACCENTURE : PRODUCTS OFFERED 121
101. TABLE 104 ACCENTURE : KEY DEVELOPMENT 122
102. TABLE 105 DATAROBOT : PRODUCTS OFFERED 123
103. TABLE 106 DATAROBOT : KEY DEVELOPMENT 124
104. TABLE 107 SAS : PRODUCTS OFFERED 125
105. TABLE 108 SAS : KEY DEVELOPMENT 126
106. TABLE 109 IBM : PRODUCTS OFFERED 127
107. TABLE 110 IBM : KEY DEVELOPMENT 128
108. TABLE 111 MICROSOFT : PRODUCTS OFFERED 129
109. TABLE 112 MICROSOFT : KEY DEVELOPMENT 130
110. TABLE 113 ADOBE : PRODUCTS OFFERED 131
111. TABLE 114 ADOBE : KEY DEVELOPMENT 132
112. TABLE 115 NVIDIA : PRODUCTS OFFERED 133
113. TABLE 116 NVIDIA : KEY DEVELOPMENT 134
114. TABLE 117 INTEL : PRODUCTS OFFERED 135
115. TABLE 118 INTEL : KEY DEVELOPMENT 136
116. TABLE 119 GOOGLE : PRODUCTS OFFERED 137
117. TABLE 120 GOOGLE : KEY DEVELOPMENT 138
118. TABLE 121 OTHERS : PRODUCTS OFFERED 139
119. TABLE 122 OTHERS : KEY DEVELOPMENT 140 LIST OF FIGURES
120. FIGURE 1 MARKET SYNOPSIS 25
121. FIGURE 2 MARKET ATTRACTIVENESS ANALYSIS: GLOBAL GENERATIVE AI IN OIL & GAS MARKET 26
122. FIGURE 3 GLOBAL GENERATIVE AI IN OIL & GAS MARKET ANALYSIS, BY FUNCTION 27
123. FIGURE 4 GLOBAL GENERATIVE AI IN OIL & GAS MARKET ANALYSIS, BY APPLICATION 28
124. FIGURE 5 GLOBAL GENERATIVE AI IN OIL & GAS MARKET ANALYSIS, BY DEPLOYMENT MODE 29
125. FIGURE 6 GLOBAL GENERATIVE AI IN OIL & GAS MARKET ANALYSIS, BY END-USER 30
126. FIGURE 7 GLOBAL GENERATIVE AI IN OIL & GAS MARKET ANALYSIS, BY REGION 31
127. FIGURE 8 GLOBAL GENERATIVE AI IN OIL & GAS MARKET: STRUCTURE 32
128. FIGURE 9 RESEARCH PROCESS 33
129. FIGURE 10 TOP-DOWN AND BOTTOM-UP AND APPROACHES 34
130. FIGURE 11 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 35
131. FIGURE 12 EUROPE GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 36
132. FIGURE 13 ASIA PACIFIC GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 37
133. FIGURE 14 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 38
134. FIGURE 15 AFRICA GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 39
135. FIGURE 16 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 40
136. FIGURE 17 MARKET DYNAMICS ANALYSIS OF THE GLOBAL GENERATIVE AI IN OIL & GAS MARKET 41
137. FIGURE 18 DRIVER IMPACT ANALYSIS 42
138. FIGURE 19 RESTRAINT IMPACT ANALYSIS 43
139. FIGURE 20 VALUE CHAIN: GLOBAL GENERATIVE AI IN OIL & GAS MARKET 44
140. FIGURE 21 Porter's Five Forces Analysis OF THE GLOBAL GENERATIVE AI IN OIL & GAS MARKET 45
141. FIGURE 22 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022 (% SHARE) 46
142. FIGURE 23 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022 VS 2032 (USD MILLION) 47
143. FIGURE 24 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022 (% SHARE) 48
144. FIGURE 25 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022 VS 2032 (USD MILLION) 49
145. FIGURE 26 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022 (% SHARE) 50
146. FIGURE 27 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022 VS 2032 (USD MILLION) 51
147. FIGURE 28 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022 VS 2032 (USD MILLION) 52
148. FIGURE 29 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022 VS 2032 (USD MILLION) 53
149. FIGURE 30 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY REGION, 2022 (% SHARE) 54
150. FIGURE 31 GLOBAL GENERATIVE AI IN OIL & GAS MARKET, BY REGION, 2022 VS 2032 (USD MILLION) 55
151. FIGURE 32 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 (% SHARE) 56
152. FIGURE 33 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 57
153. FIGURE 34 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 58
154. FIGURE 35 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 59
155. FIGURE 36 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 60
156. FIGURE 37 NORTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 61
157. FIGURE 38 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 (% SHARE) 62
158. FIGURE 39 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 63
159. FIGURE 40 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 64
160. FIGURE 41 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 65
161. FIGURE 42 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 66
162. FIGURE 43 EUROPE GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 67
163. FIGURE 44 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 (% SHARE) 68
164. FIGURE 45 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 69
165. FIGURE 46 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 70
166. FIGURE 47 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 71
167. FIGURE 48 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 72
168. FIGURE 49 ASIA-PACIFIC GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 73
169. FIGURE 50 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 (% SHARE) 74
170. FIGURE 51 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 75
171. FIGURE 52 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 76
172. FIGURE 53 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 77
173. FIGURE 54 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 78
174. FIGURE 55 MIDDLE EAST & AFRICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 79
175. FIGURE 62 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 (% SHARE) 86
176. FIGURE 63 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 87
177. FIGURE 64 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 88
178. FIGURE 65 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 89
179. FIGURE 66 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 90
180. FIGURE 67 SOUTH AMERICA GENERATIVE AI IN OIL & GAS MARKET, BY END-USER, 2022-2032 (USD MILLION) 91
181. FIGURE 68 GLOBAL GENERATIVE AI IN OIL & GAS MARKET: COMPETITIVE BENCHMARKING 92
182. FIGURE 69 VENDOR SHARE ANALYSIS (2022) (%) 93
183. FIGURE 70 QUANTIFIND : FINANCIAL OVERVIEW SNAPSHOT 94
184. FIGURE 71 QUANTIFIND : SWOT ANALYSIS 95
185. FIGURE 72 OPENAI : FINANCIAL OVERVIEW SNAPSHOT 96
186. FIGURE 73 OPENAI : SWOT ANALYSIS 97
187. FIGURE 74 ACCENTURE : FINANCIAL OVERVIEW SNAPSHOT 98
188. FIGURE 75 ACCENTURE : SWOT ANALYSIS 99
189. FIGURE 76 DATAROBOT : FINANCIAL OVERVIEW SNAPSHOT 100
190. FIGURE 77 DATAROBOT : SWOT ANALYSIS 101
191. FIGURE 78 SAS : FINANCIAL OVERVIEW SNAPSHOT 102
192. FIGURE 79 SAS : SWOT ANALYSIS 103
193. FIGURE 80 IBM : FINANCIAL OVERVIEW SNAPSHOT 104
194. FIGURE 81 IBM : SWOT ANALYSIS 105
195. FIGURE 82 MICROSOFT : FINANCIAL OVERVIEW SNAPSHOT 106
196. FIGURE 83 MICROSOFT : SWOT ANALYSIS 107
197. FIGURE 84 ADOBE : FINANCIAL OVERVIEW SNAPSHOT 108
198. FIGURE 85 ADOBE : SWOT ANALYSIS 109
199. FIGURE 86 NVIDIA : FINANCIAL OVERVIEW SNAPSHOT 110
200. FIGURE 87 NVIDIA : SWOT ANALYSIS 111
201. FIGURE 88 INTEL : FINANCIAL OVERVIEW SNAPSHOT 112
202. FIGURE 89 INTEL : SWOT ANALYSIS 113
203. FIGURE 90 GOOGLE : FINANCIAL OVERVIEW SNAPSHOT 114
204. FIGURE 91 GOOGLE : SWOT ANALYSIS 115
205. FIGURE 92 OTHERS : FINANCIAL OVERVIEW SNAPSHOT 116
206. FIGURE 93 OTHERS : SWOT ANALYSIS 117

Generative AI in Oil & Gas Market Segmentation

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Global Magnesium Sulfate Market – Forecast till 2027