石油和天然气领域的人工智能需求强劲

近年来,石油和天然气行业越来越多地采用人工智能技术,预计这一趋势在未来几年将持续下去。(图片来源:Adobe Stock)

技术

根据 Future Market Insights 关于石油和天然气市场人工智能的最新报告,预计 2024 年石油和天然气市场中的人工智能 (AI) 价值将达到 35 亿美元,到 2034 年预计将达到 130 亿美元 

2019年至2023年,市场复合年增长率为17.0%,在预测期内,石油和天然气领域对人工智能的需求预计将强劲,复合年增长率为14.1%。

近年来,石油和天然气行业越来越多地采用人工智能技术,预计这一趋势在未来几年将持续下去。有几个因素正在推动人工智能在石油和天然气市场的增长。

优化生产和降低成本的需要:石油和天然气行业竞争激烈,公司一直在寻找提高效率和降低成本的方法。机器学习和数据分析等人工智能技术可以通过识别低效率并实施解决方案来帮助企业优化生产并降低成本。

提高安全性和减少环境影响的需求日益增加:石油和天然气行业本身就存在风险,事故可能会给工人和环境带来严重后果。人工智能技术可以通过识别潜在危险并采取缓解措施来帮助企业提高安全性。此外,人工智能还可以通过识别减少浪费和排放的机会来帮助公司减少对环境的影响。

数据可用性的不断增加也推动了人工智能在石油和天然气市场的增长:随着传感器和其他数据收集技术的普及,公司可以获得比以往更多的数据。人工智能技术可以帮助公司理解这些数据并提取见解,为决策提供信息并推动运营改进。

“人工智能技术的复杂性及其本身提供增加资产的潜力正在推动其在石油和天然气行业的采用。随着人工智能对于多个行业来说变得更加经济实惠和可靠,它们可以解决日益复杂的问题,并提供更准确的预测和建议,甚至Future Market Insights, Inc. 副总裁 Nikhil Kaitwade 表示:

要点 

预计到 2034 年,石油和天然气市场的人工智能复合年增长率将达到 14.1%,估值将达到 130 亿美元。

预计该解决方案领域将主导全球市场,2024 年至 2034 年复合年增长率为 13.8%。

上游领域的复合年增长率预计为 13.6%,预计将在 2024 年推动全球市场。

到 2034 年,美国石油和天然气领域的人工智能市场预计将增长 14.5%。

竞争格局 

许多公司正在大力投资人工智能技术,以优化运营、减少开支并提高安全性。公司正在大力投资人工智能驱动的解决方案,这些解决方案可以分析来自传感器和其他来源的数据,以提高效率并最大限度地减少停机时间。此外,许多初创公司和小型组织正在专门针对石油和天然气行业开发尖端的人工智能解决方案。总的来说,对于老牌企业来说,市场竞争非常激烈。

2022年,C3 AI发布了C3 Generative AI产品套件,其中首款产品是C3 Generative AI for Enterprise Search。该软件包由预构建的人工智能应用程序组成,可用于包括石油和天然气在内的各个行业。

原文链接/oilreviewmiddleeast

Artificial Intelligence in oil and gas to see strong demand

The oil and gas industry has been increasingly adopting AI technology in recent years, and this trend is expected to continue in the coming years. (Image source: Adobe Stock)

Technology

The artificial intelligence (AI) in oil and gas market is estimated to be valued at US$3.5bn in 2024 and is expected to reach US$13bn by 2034, according to a new report from Future Market Insights on AI in the Oil and Gas Market 

From 2019 to 2023, the market registered a CAGR of 17.0%, and during the forecast period, the demand for AI in oil and gas is projected to be strong, with a CAGR of 14.1%.

The oil and gas industry has been increasingly adopting AI technology in recent years, and this trend is expected to continue in the coming years. Several factors are driving the growth of AI in the oil and gas market.

The need to optimise production and reduce costs: The oil and gas industry is highly competitive, and companies are always looking for ways to increase efficiency and reduce costs. AI technology, such as machine learning and data analytics, can help companies optimise production and reduce costs by identifying inefficiencies and implementing solutions to address them.

Increasing the need to improve safety and reduce environmental impact: The oil and gas industry is inherently risky, and accidents can have severe consequences for both workers and the environment. AI technology can help companies improve safety by identifying potential hazards and implementing measures to mitigate them. Additionally, AI can help companies reduce their environmental impact by identifying opportunities to reduce waste and emissions.

The increasing availability of data is also driving the growth of AI in the oil and gas market: With the proliferation of sensors and other data-gathering technologies, companies have access to more data than ever before. AI technology can help companies make sense of this data and extract insights that can inform decision-making and drive operational improvements.

"The sophistication of AI technology and its potential to deliver increased assets itself is driving its adoption in the oil and gas industry. As AI becomes more affordable and reliable for several industries, they can address increasingly complex problems and deliver more accurate predictions and recommendations even in the oil and gas sector," says Nikhil Kaitwade, Associate Vice President at Future Market Insights, Inc.

Key takeaways 

The AI in the oil and gas market is estimated to register a CAGR of 14.1% with a valuation of US$13bn by 2034.

The solution segment is anticipated to dominate the global market by registering a 13.8% CAGR from 2024 to 2034.

With a 13.6% CAGR, the upstream segment is estimated to drive the global market in 2024.

The United States market for AI in oil and gas is expected to grow 14.5% through 2034.

Competitive landscape 

Numerous companies are investing significantly in AI technologies to optimise their operations, reduce expenses, and enhance safety. Companies are heavily investing in AI-powered solutions that can analyse data from sensors and other sources to improve efficiency and minimise downtime. In addition, many startups and smaller organisations are developing cutting-edge AI solutions specifically for the oil and gas industry. In general, the market is fiercely competitive for established players.

In 2022, C3 AI released the C3 Generative AI Product Suite, which includes C3 Generative AI for Enterprise Search as its debut product. The package consists of pre-built AI apps that may be utilised in various industries, including oil and gas.