市场调查报告书
商品编码
1472101
2023-2030 年全球石油和天然气云应用市场规模研究与预测,按组件(解决方案、服务)、营运(上游、中游、下游)、部署类型(私有云端、公共云端)和区域分析Global Oil And Gas Cloud Applications Market Size study & Forecast, by Component (Solutions, Services), by Operation (Upstream, Midstream, Downstream), by Deployment Type (Private Cloud, Public Cloud) and Regional Analysis, 2023-2030 |
2022年全球石油和天然气云端应用市场价值约为52.6亿美元,预计在2023-2030年预测期内将以超过14.82%的健康成长率成长。石油和天然气云端应用程式是在云端运算环境中建置和部署的软体解决方案和服务,以满足石油和天然气行业的独特需求和困难。这些应用程式利用云端技术提供一系列功能,提高产业内的效率、协作和决策。由于云端技术的采用不断增加和工业自动化的不断发展等因素,石油和天然气云端应用程式市场正在扩大。云端应用程式有助于管理石油和天然气产业产生的大量资料,包括勘探资料、钻井资料、生产资料等。因此,在 2023-2030 年预测期内,国际市场对石油和天然气云端应用程式的需求逐渐增加。
云端为传统 IT 基础架构提供了一种经济高效的替代方案,减少了硬体和维护方面的资本支出。这对于资本密集的石油和天然气行业尤其有利,使企业能够更有效地配置资源。云端平台还促进人工智慧、机器学习和资料分析等先进技术的集成,使行业能够从资料中获取有价值的见解,以优化营运并增强预测性维护。根据Statista统计,2021年全球云端应用市场规模为1,336亿美元,预计2025年将达到1,686亿美元。工业自动化系统从感测器、装置和设备产生大量资料。云端应用程式可以整合和分析这些资料以提供即时见解。自动化促进了石油和天然气行业各个组件之间的无缝连接,从而实现了云端的高效资料流。此外,根据Statista统计,2020年全球工业自动化市场规模达1,750亿美元,预计到2025年将以约9%的年复合成长率(CAGR)扩张。对数位技术不断增加的投资预计将在预测期内为市场创造利润丰厚的成长机会。然而,日益增长的资料安全担忧和严格的政府法规将阻碍 2023-2030 年预测期内的整体市场成长。
全球石油和天然气云端应用程式市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲以及中东和非洲。由于云端技术在该地区的采用,欧洲将在 2022 年占据市场主导地位。云端平台有助于高效储存、管理和分析石油和天然气领域产生的大量资料,包括地震资料、油井资料和生产资料。云端中的高阶分析和机器学习功能可实现更好的决策和优化营运。该地区的主导表现预计将推动石油和天然气云端应用程式的整体需求。此外,由于该地区的工业自动化等因素,预计亚太地区在预测期内将成长最快。工业自动化从感测器、设备和流程中产生大量资料。云端应用程式可以聚合和分析这些资料,以提供有价值的见解、优化营运并增强石油和天然气行业的决策。
研究的目的是确定近年来不同细分市场和国家的市场规模,并预测未来几年的价值。该报告旨在纳入参与研究的国家内该行业的定性和定量方面。
该报告还提供了有关驱动因素和挑战等关键方面的详细信息,这些因素将决定市场的未来成长。此外,它还纳入了利害关係人投资的微观市场的潜在机会,以及对主要参与者的竞争格局和产品供应的详细分析。
Global Oil And Gas Cloud Applications Market is valued at approximately USD 5.26 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 14.82% during the forecast period 2023-2030. Oil and Gas Cloud Applications are software solutions and services built and deployed in cloud computing environments to meet the oil and gas industry's unique needs and difficulties. These applications leverage cloud technology to provide a range of functionalities, improving efficiency, collaboration, and decision-making within the sector. The Oil And Gas Cloud Applications Market is expanding because of factors such as rising adoption of cloud technology and growing industrial automation. Cloud applications help manage vast amounts of data generated in the oil and gas industry, including exploration data, drilling data, production data, and more. As a result, the demand for Oil And Gas Cloud Applications has progressively increased in the international market during the forecast period 2023-2030.
Cloud provides a cost-effective alternative to traditional IT infrastructure, reducing capital expenditures on hardware and maintenance. This is particularly beneficial for the capital-intensive oil and gas sector, enabling companies to allocate resources more efficiently. Cloud platforms also facilitate the integration of advanced technologies such as artificial intelligence, machine learning, and data analytics, empowering the industry to derive valuable insights from data to optimize operations and enhance predictive maintenance. According to Statista, in 2021, the global cloud applications market accounts for USD 133.6 billion and is projected to reach up to USD 168.6 billion by the year 2025. Another important factor that drives the Oil And Gas Cloud Applications Market is growing industrial automation. Industrial automation systems generate vast amounts of data from sensors, devices, and equipment. Cloud applications can integrate and analyze this data to provide real-time insights. Automation facilitates seamless connectivity between various components in the oil and gas industry, allowing for efficient data flow to and from the cloud. In addition, as per Statista, in 2020, the global industrial automation market accounted for USD 175 billion and is estimated to expand at a Compound Annual Growth Rate (CAGR) of approximately 9% by the year 2025. Moreover, rising demand for crude oil and natural gas and growing investments in digital technologies to create digital oilfields are anticipated to create lucrative growth opportunities for the market over the forecast period. However, growing data security concerns and stringent government regulations are going to impede overall market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Oil And Gas Cloud Applications Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Europe dominated the market in 2022 owing to the adoption of cloud technology in the region. Cloud platforms facilitate efficient storage, management, and analysis of large volumes of data generated in the oil and gas sector, including seismic data, well data, and production data. Advanced analytics and machine learning capabilities in the cloud enable better decision-making and optimization of operations. The region's dominant performance is anticipated to propel the overall demand for Oil And Gas Cloud Applications. Furthermore, Asia Pacific is expected to grow fastest over the forecast period, owing to factors such as industrial automation in the region. Industrial automation generates vast amounts of data from sensors, equipment, and processes. Cloud applications can aggregate and analyze this data to provide valuable insights, optimize operations, and enhance decision-making in the oil and gas sector.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of tables and figures and dummy in nature, final lists may vary in the final deliverable