Product Code: ETC4533686 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
The Thailand AI in Oil Gas Market explores the integration of artificial intelligence into the oil and gas sector. AI technologies can enhance data analysis, predictive maintenance, and process optimization in oil and gas operations, potentially increasing efficiency and reducing costs.
The AI in Oil and Gas market in Thailand is experiencing dynamic growth, driven by the increasing integration of artificial intelligence (AI) technologies to optimize exploration, production, and operational processes in the oil and gas industry. AI solutions, including machine learning and data analytics, offer predictive insights, automate workflows, and enhance decision-making in oil and gas operations. The market expansion is further propelled by the country focus on digital transformation, the need for cost efficiency, and the exploration of complex reservoirs. As Thailand embraces AI to unlock the full potential of its hydrocarbon resources, the demand for AI solutions in the oil and gas sector is on the rise, marking a strategic shift towards a more data-driven and technologically advanced energy industry.
The Thailand AI in Oil Gas Market faces challenges related to data quality and algorithm accuracy. Ensuring reliable and accurate insights from AI applications in oil and gas operations demands high-quality data and continuous refinement of algorithms.
The COVID-19 pandemic impacted the Thailand AI in Oil and Gas Market, causing delays in technology adoption and disruptions in oil and gas operations. The restrictions on movement and uncertainties in the market affected investment decisions. However, post-pandemic, the market witnessed a resurgence as the industry recognized the potential of artificial intelligence (AI) for enhancing operational efficiency and decision-making. Increased investments in AI applications for reservoir management, predictive maintenance, and production optimization contributed to the recovery of the AI in Oil and Gas Market.
As artificial intelligence gains prominence, companies like IBM Corporation, Accenture plc, and Intel Corporation contribute to the AI in oil and gas market in Thailand, enhancing operational efficiency.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand AI in Oil & Gas Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand AI in Oil & Gas Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand AI in Oil & Gas Market - Industry Life Cycle |
3.4 Thailand AI in Oil & Gas Market - Porter's Five Forces |
3.5 Thailand AI in Oil & Gas Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Thailand AI in Oil & Gas Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.7 Thailand AI in Oil & Gas Market Revenues & Volume Share, By Function, 2021 & 2031F |
4 Thailand AI in Oil & Gas Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for automation and optimization of oil and gas operations |
4.2.2 Growing focus on cost reduction and efficiency enhancement in the industry |
4.2.3 Technological advancements in artificial intelligence applications for oil and gas sector |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing AI solutions in oil and gas operations |
4.3.2 Data security and privacy concerns related to AI adoption in sensitive industry sectors |
5 Thailand AI in Oil & Gas Market Trends |
6 Thailand AI in Oil & Gas Market, By Types |
6.1 Thailand AI in Oil & Gas Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Thailand AI in Oil & Gas Market Revenues & Volume, By Type, 2021-2031F |
6.1.3 Thailand AI in Oil & Gas Market Revenues & Volume, By Hardware, 2021-2031F |
6.1.4 Thailand AI in Oil & Gas Market Revenues & Volume, By Software, 2021-2031F |
6.1.5 Thailand AI in Oil & Gas Market Revenues & Volume, By Services, 2021-2031F |
6.2 Thailand AI in Oil & Gas Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Thailand AI in Oil & Gas Market Revenues & Volume, By Upstream, 2021-2031F |
6.2.3 Thailand AI in Oil & Gas Market Revenues & Volume, By Midstream, 2021-2031F |
6.2.4 Thailand AI in Oil & Gas Market Revenues & Volume, By Downstream, 2021-2031F |
6.3 Thailand AI in Oil & Gas Market, By Function |
6.3.1 Overview and Analysis |
6.3.2 Thailand AI in Oil & Gas Market Revenues & Volume, By Predictive Maintenance, 2021-2031F |
6.3.3 Thailand AI in Oil & Gas Market Revenues & Volume, By Production Planning, 2021-2031F |
6.3.4 Thailand AI in Oil & Gas Market Revenues & Volume, By Field Service, 2021-2031F |
6.3.5 Thailand AI in Oil & Gas Market Revenues & Volume, By Material Movement, 2021-2031F |
6.3.6 Thailand AI in Oil & Gas Market Revenues & Volume, By Quality Control, 2021-2031F |
7 Thailand AI in Oil & Gas Market Import-Export Trade Statistics |
7.1 Thailand AI in Oil & Gas Market Export to Major Countries |
7.2 Thailand AI in Oil & Gas Market Imports from Major Countries |
8 Thailand AI in Oil & Gas Market Key Performance Indicators |
8.1 Percentage increase in operational efficiency achieved through AI implementation |
8.2 Reduction in downtime and maintenance costs in oil and gas facilities due to AI utilization |
8.3 Improvement in predictive maintenance accuracy using AI technologies. |
9 Thailand AI in Oil & Gas Market - Opportunity Assessment |
9.1 Thailand AI in Oil & Gas Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Thailand AI in Oil & Gas Market Opportunity Assessment, By Application, 2021 & 2031F |
9.3 Thailand AI in Oil & Gas Market Opportunity Assessment, By Function, 2021 & 2031F |
10 Thailand AI in Oil & Gas Market - Competitive Landscape |
10.1 Thailand AI in Oil & Gas Market Revenue Share, By Companies, 2024 |
10.2 Thailand AI in Oil & Gas Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |