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Intelligent Pigging Market 2025 Growth by Top Companies - LIN SCAN, T.D. Williamson, Inc., Baker Hughes Incorporated, GE Oil and Gas (PII Pipeline Solutions), NDT Global and Enduro Pipeline Services Inc.

10-01-2018 04:04 PM CET | Industry, Real Estate & Construction

Press release from: Verified Market Research

Intelligent Pigging Market 2025

Intelligent Pigging Market 2025

Global Intelligent Pigging Market was valued at USD 552.73 Million in 2017 and is projected to reach USD 785.28 Million by 2025, growing at a CAGR of 4.5% from 2018 to 2025.

Intelligent Pigging is an inspection method in which an inspection probe also known as the smart pig is propelled through a pipeline for collecting important data such as presence and location of corrosion or other irregularities of pipe inner walls. It helps in cleaning pipelines by scrapping the sides of the pipe and removing dirt and debris as it travels through it. Along with cleaning, an intelligent pig is also capable of performing advanced inspection activities as they travel along the product flow through the pipe. It helps in inspecting for erosion-corrosion, pitting, weld anomalies, metal loss etc. by using nondestructive examination methods such as ultrasonic testing and magnetic flux leakage testing. Intelligent Pigging has applications in oil & gas pipelines. Growing concerns regarding the safety of pipelines and energy infrastructure have contributed to the growth of the intelligent pigging market.

Growing technological advancements in the pigging system, strict government & industry regulations and numerous benefits of intelligent pigging solutions have been driving the global intelligent pigging market. On the other hand, high maintenance cost and unpiggable pipelines might hinder the overall growth at a global level.

The “Global Intelligent Pigging Market” study report will provide a valuable insight with an emphasis on the global market including some of the major players such as LIN SCAN, T.D. Williamson, Inc., Baker Hughes Incorporated, GE Oil and Gas (PII Pipeline Solutions), NDT Global and Enduro Pipeline Services Inc. The oil & gas explorers and producers analyzed in the report are Petrobras, OMV Group, ConocoPhillips and Royal Dutch Shell Plc. Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis.

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Worldwide Intelligent Pigging Market Analysis to 2025 is a specialized and in-depth study of the Intelligent Pigging industry with a focus on the global market trend. The report aims to provide an overview of global Intelligent Pigging market with detailed market segmentation by product/application and geography. The global Intelligent Pigging market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the Intelligent Pigging players and offers key trends and opportunities in the market.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Intelligent Pigging market based on product and application. It also provides market size and forecast till 2025 for overall Intelligent Pigging market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries and segments. The report evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend and provides exhaustive PEST analysis for all five regions.

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Also, key Intelligent Pigging market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information of last 3 years, key development in past five years.



Table Of Content

1 Introduction Of The Global Intelligent Pigging

2 Executive Summary

3 Research Methodology Of Verified Market Intelligence

4 The Global Intelligent Pigging Outlook

5 The Global Intelligent Pigging, By Systems

6 The Global Intelligent Pigging, By Service

7 The Global Intelligent Pigging, By Verticals

8 The Global Intelligent Pigging, By Applications

9 The Global Intelligent Pigging, By Geography

10 The Global Intelligent Pigging Competitive Landscape

Reason to Buy
– Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Intelligent Pigging market
– Highlights key business priorities in order to assist companies to realign their business strategies.
– The key findings and recommendations highlight crucial progressive industry trends in the Intelligent Pigging market, thereby allowing players to develop effective long term strategies.
– Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
– Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
– Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

Complete Report Available at http://bit.ly/2OYtblu

About Us:

Verified Market Research’ has been providing Research Reports, with up to date information, and in-depth analysis, for several years now, to individuals and companies alike that are looking for accurate Research Data. Our aim is to save your Time and Resources, providing you with the required Research Data, so you can only concentrate on Progress and Growth. Our Data includes research from various industries, along with all necessary statistics like Market Trends, or Forecasts from reliable sources.

Contact Us:

Mr. Ankush
Call: +1 (650) 781 4080
Email: sales@verifiedmarketresearch.com

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