Oilfield Service (OFS) Analytics is a high quality and up-to-date analysis of the global oilfield service industry delivered through reports, detailed factsheets and commentaries. It is a comprehensive service which supports companies in their strategy and decision-making within OFS markets.
Oilfield Service Analytics consists of reports on topics like market trends and outlook, market drivers, cost trends as well as an extensive library of regularly updated factsheet reports on all projects, service segments, service providers and E&P operators globally. OFS Analytics covers key service segments: Operations and Maintenance, Well service, Drilling, Subsea, EPCI and Seismic.
Our analysts continuously monitor the market and conduct in-depth research to provide high-quality, timely and independent intelligence to clients.
Oilfield Service Analytics reports are available online at our Client Portal. The Portal allows users to quickly navigate through an extensive library of our research and analysis, save relevant reports and get email alerts when the new content is available. OFS Analytics is powered by DCube and SCube databases and is included with the databases subscription.
Oilfield Service Report: Monthly report covering global OFS market trends and activity with details on different service segments and projects
Factsheets: Library of quantitative snapshots derived from our proprietary databases
Project factsheets: spending details for 30,000 oil and gas projects
Operator factsheets: spending profiles for 2,500 E&P operators
Service company factsheets: detailed overview of 500 supplier businesses
Service segment factsheets: key demand trends for 50+ service segments
Market share factsheets: player landscape in 50+ service segments
Executives, Senior Managers and Strategy Analysts within:
You might also be interested in:
DCube: Historical and forecasted OPEX and CAPEX for global oil and gas fields,split on supplier segment and geography
SCube: Reported revenue from oil service companies split on the same supplier segments and geographies as DCube