Global Artificial Intelligence in Oil and Gas Market

Artificial Intelligence in Oil and Gas Market size is expected to reach USD 5.80 Bn by 2030 from USD 2.97 Bn in 2023, at a CAGR of 10.02% during the forecast period.

Artificial Intelligence in Oil and Gas Market Overview:

Artificial intelligence (AI) is attractive the first in line as the key technology with all the potential to expose a productivity revolution in the oil & gas industry. The AI market in oil & gas industry has been forecast to grow to $5.28 billion by 2030 at a CAGR of 10.02%. North America is the dominant and most innovative market, because of the top AI players in the oil & gas industry are based in North America such as Google, IBM, Microsoft and Oracle. The applications of AI and machine learning (ML) in the oil & gas industry are many, and some of them can really make the difference in a sector that is looking for to renew itself. Just by leveraging the potential of predictive analytics, big data and ML in upstream oil & gas doings alone, costs could be cut by $50 billion.To know about the Research Methodology :- Request Free Sample Report

Artificial Intelligence in Oil and Gas Market Dynamics:

An increased focus on improving efficiency, and reducing downtime has been a priority for the oil and gas companies, on accounts of fluctuating oil prices. Though, as concerns over the environmental impact of energy production and consumption persevere, oil and gas companies are looking for innovative approaches to achieve their business goals, while reducing environmental impact.

In addition, the Oil and Gas Authority (OGA) is making use of AI in parallel ways, thanks to the UK's first oil and gas National Data Repository (NDR), launched in March 2019, using AI to interpret data, according to the OGA expectations, is likely to support to discover new oil and gas forecast and permit more production from existing infrastructures.

The offshore oil and gas business use AI in data science to make the complex data used for oil and gas exploration and production more reachable, which lets companies to make more use out of existing infrastructures. For example, in January 2019, BP invested in Houston-based technology start-up, Belmont Technology, to bolster the company's AI capabilities, emerging a cloud-based geoscience platform.

The increasing demand for oil and gas makes the discovery of new oil fields a high priority need for companies in this space. This operation is generally termed the Exploration and Production (E&P) or the upstream level of the oil and gas industry. Finding ways to make E&P processes more efficient and optimize operations in this field are applications where AI might help oil and gas companies. For example, recently, Total Oil announced an agreement with Google Cloud to together develop an AI system to analyze subsurface data aimed at improving their E&P processes.

Nevertheless, high capital investments for the integration of AI technologies, along with the lack of skilled AI professionals, could hamper the growth of the artificial intelligence in oil and gas market. A recent survey validated that 56% of senior AI professionals considered that a lack of additional and qualified AI workers was the only biggest obstacle to be overcome, in terms of obtaining the necessary level of AI implementation across business operations. For instance, Baker Hughes, a GE oilfield services company (BHGE) and NVIDIA recently announced a partnership to use AI-based analytics to help oil and gas companies gain insights from their data. This includes seismic data, well logs, data from sensors in machinery, and supply chain data that can be input to AI software to gain insights aimed at reducing the cost of exploring, extracting, processing, and delivering oil, which is support to overcome this market challenges.

Using Intelligent Drones for Aerial Inspections:

Oil & gas operators must run regular inspections of their assets, like pipelines and wells, to ensure their proper management and maintenance. Traditional methods of inspection, however, are costly, time-intensive or dangerous when roustabouts on trucks are sent to inspect equipment manually. Now, AI comes to the save even in this instance, and helps reduce all the dangers, time and effort needed to perform these inspections through cheap, safe and intelligent drones. This solution has been provided by PrecisionHawk, a company that combines drone technology, aerial mapping and modeling software, along with AI and machine vision to replace dangerous manned aircraft inspections with drone deployments. High-resolution remote sensing is also more efficient at detecting and indicative the type and extent of damage than visual inspections.

Artificial Intelligence in Oil and Gas Market Segment Overview:

By application, the AI in oil & gas market is segmented Upstream, Midstream, and Downstream. Among these, Upstream segment expected to witness a significant growth in the market during the forecast period. This growth is attributed to Oil and gas companies can potentially gain key insights to improve their business outcomes in their upstream processes with the integration of AI software. This process would involve the feeding of curated data records and information from data sources to the software that could include structured documents, PDFs, handwritten notes, audio, or video files.

Artificial Intelligence in Oil and Gas Market Regional Insights:

North America is expected to hold the largest market share of xx% of the global market by 2030. Because of the increasing adoption of AI technologies across the oilfield operators and service providers and the existence of prominent AI software and system suppliers, particularly in the U.S and Canada.

Factors, such as the strong economy, combined investment by government and private organizations for the development and growth of R&D activities are drive the demand for AI in oil and gas sector, in the North America.

ExxonMobil, one of the leading oil producers in the country, announced its plans to increase the production activity in the Permian Basin of West Texas, by producing above 1 million barrels per day (BPD) of oil-equivalent by as early as 2024. This is equivalent to an increase of nearly 80% compared to the present production capacity.

The report focuses on artificial intelligence in oil and gas market value at the top regions and countries of the world, which shows a regional development, including market size, share, revenue, and much more across the globe. The report has covered, capacity, production value, cost/profit, and supply/demand by statistical analysis.
A brief analysis of drivers, restraints, opportunities, and challenges in the market is also covered with examples by region. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments. It also has covered the analysis of key player’s growth strategies, micro and macro analysis of markets, key developments, and key trends in the market.

Artificial Intelligence in Oil and Gas Market Scope: Inquire before buying

Artificial Intelligence in Oil and Gas Market, by Region:

North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina Rest of South America)

Artificial Intelligence in Oil and Gas Market, Key Players:

1. IBM
2. Intel
3. Microsoft
4. Accenture (Republic of Ireland)
5. Google
6. Microsoft
7. Oracle
8. Numenta
9. Sentient technologies
10.Inbenta
11.General Vision
12.Cisco
13.FuGenX Technologies
14.Infosys
15.Hortonworks
16.Royal Dutch Shell
17.PJSC Gazprom Neft
18.Huawei Technologies Co. Ltd.
19.NVIDIA Corp.
20.Neudax
21.Cloudera, Inc.

Frequently Asked Questions:

1. Which region has the largest share in Global Artificial Intelligence in Oil and Gas Market?
Ans: North America region held the highest share in 2023.

2. What is the growth rate of Global Artificial Intelligence in Oil and Gas Market?
Ans: The Global artificial intelligence in Oil & Gas  Market is expected to grow at a CAGR of 10.02% during forecast period 2024-2030.

3. What is scope of the Global Artificial Intelligence in Oil and Gas Market report?
Ans: Global artificial intelligence in Oil & Gas  Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period.

4. What is the study period of this market?
Ans: The Global artificial intelligence in Oil & Gas  Market is studied from 2023 to 2030.