Over the past few year, factors such as Increasing Investment in Start-Ups for AI Implementation in Oil & Gas Industry in Various Regions Including Middle East, Africa and Others have contributed to the development of the Global AI in Oil and Gas market.

Undoubtedly, The Surging Incidents of Oil & Gas Leakage from Storage Tanks and Pipelines at Production Facilities is the most promising market promoter, bringing direct and indirect economic benefits to the market sizing. The Global AI in Oil and Gas market is expected to make a significant contribution, with an estimated market to reach USD2.9 Billion by 2030 growing at a CAGR of 11.09%.

AMA research has engaged in the competitive assessment of China & Global AI in Oil and Gas Players for 5 years. “The Top 10 Competitive Players in the AI in Oil and Gas in 2023” clearly displays the competitive situations of main AI in Oil and Gas Playersin 2023. The research shows that companies in top 10 list are divided up by dominating countries, namely, United States occupying half of the list showcasing strong market competitive advantage.

The Function Type, such as Material Handling, is boosting the AI in Oil and Gas market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Service Type, such as Professional, is boosting the AI in Oil and Gas market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

With the multiple advantages of technology, cost and service, many major Players such as IBM (United States), Intel (United States), Accenture (Republic of Ireland), Google (United States), Microsoft (United States), Oracle (United States), Sentient technologies (United States), Inbenta (United States), General Vision (United States) and Cisco (United States) developed rapidly. They kept leading domestic market and on the other way actively developing international market and seizing market share, becoming the backbone of Global AI in Oil and Gas industry.This framework should serve as a basic structure to support the strategic decision-making process for industry players. For instance, the question of whether a Players wants to expand into other areas of the market value chain fundamentally determines its strategy.

The US Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA) has implemented Liquids Mega Rule in which it is important to install leak detection systems in all dangerous liquid pipelines.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global AI in Oil and Gas market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2020 currency rates.

Data Triangulation
The overall AI in Oil and Gas market size is calculated using market estimation process, the AI in Oil and Gas market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global AI in Oil and Gas market size has been validated using both top-down and bottom-up approaches.