Inspection robotics in oil & gas industry are robots and intelligent devices developed and employed for inspecting, monitoring and surveying oil & gas pipelines, platforms, rigs, storage tanks and other oil & gas structures. Oil & gas inspection robots include unmanned underwater vehicles (UUVs), unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and smart PIGs among others. UUVs include remotely operated underwater vehicles (ROVs) and autonomous underwater vehicles (AUVs). Global cumulative Capex (capital expenditure) of inspection robots in oil & gas industry will advance to $17.83 billion during 2019-2025, representing a robust growth at 15.9% per annum between 2018 and 2025.
Highlighted with 55 tables and 66 figures, this 183-page report “Inspection Robotics in Oil & Gas Industry: Global Market 2018-2025 by Robot Type, Application, System Component and Region” is based on a comprehensive research of the inspection robots market in oil & gas industry by analyzing the entire global market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain. The report provides historical market data for 2014-2017, revenue estimates for 2018, and forecasts from 2019 till 2025. (Please note: Before delivery, the report will be updated so that the latest historical year is the base year and the forecast covers the next 5-10 years over the base year.)
In-depth qualitative analyses include identification and investigation of the following aspects:
• Market Structure
• Growth Drivers
• Restraints and Challenges
• Emerging Product Trends & Market Opportunities
• Porter’s Fiver Forces
The trend and outlook of global market is forecast in optimistic, balanced, and conservative view. The balanced (most likely) projection is used to quantify global oil & gas inspection robotics market in every aspect of the classification from perspectives of Robot Type, Application, System Component and Region.

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