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市場調査レポート
商品コード
1738061
石油・ガスのデジタル岩盤分析の市場規模、シェア、成長分析:タイプ別、技術別、応用分野別、サービスタイプ別、エンドユーザー別、展開モード別、地域別 - 産業予測 2025~2032年Oil and Gas Digital Rock Analysis Market Size, Share, and Growth Analysis, By Type, By Techniques, By Application Area, By Service Type, By End User, By Deployment Mode, By Region - Industry Forecast 2025-2032 |
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石油・ガスのデジタル岩盤分析の市場規模、シェア、成長分析:タイプ別、技術別、応用分野別、サービスタイプ別、エンドユーザー別、展開モード別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年05月26日
発行: SkyQuest
ページ情報: 英文 196 Pages
納期: 3~5営業日
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石油・ガスのデジタル岩盤分析の世界市場規模は、2023年に22億米ドルと評価され、2024年の25億1,000万米ドルから2032年には72億7,000万米ドルに成長し、予測期間(2025~2032年)のCAGRは14.2%で成長する見通しです。
石油・ガスのデジタル岩盤分析市場は、探査と生産におけるデータ主導型戦略の採用が進むにつれて大きな成長を遂げています。この拡大には、正確な貯留層特性評価と迅速な意思決定に対する需要が後押ししており、従来のコアサンプリングへの依存度が低下しています。X線マイクロコンピューター断層撮影や核磁気共鳴のような高度なイメージング技術を含む技術の進歩は、地下貯留層分析を顕著に改善しました。特に、非在来型貯留層における複雑な間隙構造と流体の挙動を理解する必要性は、生産の最適化を促進します。世界のエネルギー需要の高まりと効率的な調査手法の推進に伴い、企業はデジタル岩盤分析に目を向け、既存の埋蔵量からの生産量を高めると同時に、新たな機会を見極めようとしています。これは、探査と生産段階を通じて意思決定を強化する革新的な手法に対する業界の幅広い取り組みを反映しています。
Global Oil and Gas Digital Rock Analysis Market size was valued at USD 2.2 billion in 2023 and is poised to grow from USD 2.51 billion in 2024 to USD 7.27 billion by 2032, growing at a CAGR of 14.2% during the forecast period (2025-2032).
The oil and gas digital rock analysis market is experiencing significant growth as the sector increasingly adopts data-driven strategies for exploration and production. This expansion is fueled by the demand for accurate reservoir characterization and quicker decision-making, which reduces reliance on conventional core sampling. Technological advancements, including sophisticated imaging techniques like X-ray micro-computed tomography and nuclear magnetic resonance, have notably improved subsurface reservoir analysis. In particular, the need to comprehend complex pore structures and fluid behaviors in unconventional reservoirs enhances production optimization. With rising global energy demands and the push for efficient exploration methodologies, companies are turning to digital rock analysis to boost output from existing reserves while identifying new opportunities. This reflects a broader industry commitment to innovative practices that enhance decision-making throughout exploration and production stages.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Oil and Gas Digital Rock Analysis market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Oil and Gas Digital Rock Analysis Market Segments Analysis
Global Oil and Gas Digital Rock Analysis Market is segmented by Type, Techniques, Application Area, Service Type, End User, Deployment Mode and region. Based on Type, the market is segmented into Conventional and Unconventional. Based on Techniques, the market is segmented into Micro-CT Scanning, NMR Analysis, Ultrasonic Velocity Measurements and Pore Scale Modeling. Based on Application Area, the market is segmented into Reservoir Characterization, Hydrocarbon Exploration, Production Optimization and Enhanced Oil Recovery. Based on Service Type, the market is segmented into Consulting Services, Software Solutions and Data Management Services. Based on End User, the market is segmented into Oil & Gas Operators, Energy Service Companies and Research Institutions. Based on Deployment Mode, the market is segmented into On-premises and Cloud-based. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Oil and Gas Digital Rock Analysis Market
As the intricacies of oil and gas reservoirs continue to escalate, there is a heightened demand for accurate reservoir characterization. Digital rock analysis employs advanced 3D imaging and simulation methods that yield in-depth information regarding rock attributes such as porosity, permeability, and fluid dynamics. This technological approach empowers energy companies to refine their drilling techniques, improve oil recovery rates, and mitigate operational risks, particularly in challenging formations like tight gas and shale reservoirs. Consequently, the global oil and gas digital rock analysis market is driven by the necessity for enhanced analytical capabilities in the ever-evolving energy sector.
Restraints in the Global Oil and Gas Digital Rock Analysis Market
The Global Oil and Gas Digital Rock Analysis market faces significant constraints due to the high costs associated with advanced imaging technologies, such as high-resolution X-ray micro-computed tomography (micro-CT) scanners and electron microscopy, alongside the necessity for advanced data analytics software. These tools require considerable initial capital investment as well as continuous maintenance and the expertise of skilled personnel for effective operation. Consequently, small and mid-sized exploration and production (E&P) companies often struggle to implement these technologies on a large scale, limiting their ability to compete in the market and hindering widespread adoption.
Market Trends of the Global Oil and Gas Digital Rock Analysis Market
The Global Oil and Gas Digital Rock Analysis market is witnessing a significant trend towards the integration of artificial intelligence (AI) and machine learning (ML) technologies. These advancements facilitate rapid image processing, automatic segmentation, and predictive modeling of fluid behavior within rock pores, significantly enhancing the efficiency of core analysis. By leveraging AI-driven solutions, companies can reduce analysis time, streamline workflows, and scale rock characterization across extensive datasets. This growing reliance on digitalization not only optimizes resource management but also supports better decision-making in exploration and production, positioning AI and ML as pivotal drivers of innovation within the oil and gas sector.