The global big data in oil and gas market revenue is expected to expand at a lucrative CAGR over the forecast period. Increasing spending in the IT upstream sector of the oil and gas industry is expected to boost growth of the global big data in oil and gas market.

The global big data in oil and gas market report has been segmented on the basis of component, data type, application, and region.

On the basis of component, the global big data in oil and gas market is segmented into software and services. The software segment is further sub-segmented into data analytics, data collection, data discovery and visualization, and data management. The services segment is further sub-segmented into consulting, system integration, and operation and maintenance.

On the basis of data type, the global big data in oil and gas market is segmented into structured, unstructured, and semi-structured. The unstructured segment is expected to contribute significant share in terms of revenue in the global market. The structured segment is estimated to register lucrative CAGR.

On the basis of application, the global big data in oil and gas market is segmented into upstream (conventional, unconventional), midstream, downstream, and administration.

On the basis of region, the global big data in oil and gas market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

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North America market is expected to dominate in the global market, and is projected to maintain its dominance over the forecast period. Asia Pacific market is projected to witness significant growth over the forecast period, and is expected to register a CAGR of X.X%. This can be attributed to increasing adoption of advance technological solutions in the oil and gas industry in countries in the region.

Prominent players in the global big data in oil and gas market include Accenture, Data watch Corporation, Drillinginfo, Inc., Hitachi Vantara Corporation, HortonWorks, Inc. International Business Machines Corporation, MapR Technologies, Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Inc., Cloudera, Inc., Palantir Economic Solutions Ltd., and Capgemini SE.