Driven by advanced analytics and AI’s increased adoption, enterprises across industries are better realizing their business goals and bolstering new initiatives. The Oil and Gas (O&G) industry is one among the industries quick to adopt data analytics and AI(DAAI) adoption with major investments seen in use cases related to improving operational efficiency, strengthening decarbonization initiatives, reducing demand fluctuations, mitigating volatility in asset management and maintenance, and enhancing cyber resilience. While major DAAI applications are seen in upstream businesses, O&G firms are also now, investing in solutions related to downstream and midstream firms to develop differentiation in the market and better realize operational efficiencies. Stimulated by post-pandemic conditions, O&G organizations are focusing more on digital initiatives that ensure workforce safety and build operational resilience.
In this report, we assess DAAI adoption’s current state in the O&G industry, emerging themes causing enterprises to adopt DAAI, assessing market adoption levels and value delivered by DAAI across use cases in the O&G value chain. Furthermore, the report discusses advanced analytics and AI use cases that support O&G enterprises across the value chain and the future landscape shaping for enterprises and service providers.
Scope
Industry: O&G
Services: DAAI
Geography: global
Sources: publicly available information, including 120+ DAAI case studies
Contents
In this report, we assess:
The O&G market overview – current state of analytics, DAAI engagement types, and challenges hindering further DAAI adoption
The emerging themes in O&G industry such as digital twins, generative AI applications, AI-based decarbonization initiatives, 5G’s implications in AI adoption, and AI-enhanced cybersecurity initiatives
DAAI adoption use cases across O&G value chain based on value delivered and market adoption
The future landscape for enterprises and providers to stay relevant under dynamic business environments
