Intelligent Pigging Market Trends

Intelligent Pigging Market Overview

Intelligent Pigging Market Size was valued at USD 294.37 Million in 2023. The Intelligent Pigging Market industry is projected to grow from USD 307.51 Million in 2024 to USD 518.33 Million by 2032, exhibiting a compound annual growth rate (CAGR) of 5.97% during the forecast period (2024 - 2032).

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

The intelligent pigging market is estimated to grow significantly over the forecast period. Due to growing concerns about the safety of pipelines and energy infrastructure, the global market is expected to rise rapidly over the forecast period. Pipeline damage has occurred frequently in the oil and gas industry in the past, resulting in significant product loss and accidents. As a result, oil and gas companies must inspect their pipeline infrastructure.

Intelligent pigging is a method of internally checking a pipeline and gathering information on the existence and location of corrosion, bends, and other anomalies. The necessity for intelligent pigging services for pipelines has arisen as a result of the complexity of mandatory pipeline inspections and rising regulatory requirements. Pipeline operators need access to data to mitigate risk and ensure safety effectively by evaluating signs of metal loss, corrosion detection, and other physical defects.

Increasing government mandates and regulations for pipeline inspection is one of the major drivers for the growth of the global market. For instance, as per U.S. Environmental Protection Agency (EPA), safety regulations for operating pipelines are based on various factors under inspection such as pressure testing pf the pipes, corrosion control, welding, accident reporting, construction, emergency preparedness, and others. Pipeline and Hazardous Materials Safety Administration (PHMSA) operates an Integrity Management Program which includes inspection and repair program to provide attention to pipelines that pass through high consequence areas. These regulations are driving the adoption of intelligent Pigging.

The global market is projected to grow at a high rate during the forecast period due to the growing concern over the safety of pipelines and energy infrastructure. The oil & gas industry has witnessed major incidents of pipeline damage in the past, resulting in major product loss and accidents. Therefore, it is necessary to inspect the pipeline infrastructure for oil & gas companies.

Intelligent Pigging Market Key Players

List of the key major companies in the global Intelligent Pigging market are

Baker Hughes (US), Corrosion Control Engineering, (Australia), Rouge Pipeline & Process Services (UAE), Penspen (UK), Halfwave AS (Norway), Romstar (Malaysia), Cokebusters (UK), Quest Integrity Group (US), A.Hak Industrial Services (Netherlands), SGS SA (Switzerland), T.D.Williamson (US), Rosen Group (Switzerland), and NDT Global (UAE), among others.

Industry News

• T.D. Williamson has extensive knowledge in all aspects of pipeline management, having inspected over 800,000 kilometers of network. For a long time, the company has been in the pipeline equipment sector, providing both offshore and onshore services, and it offers both traditional and automated pigging solutions. In the automated pigging industry, the company also provides customized solutions based on the needs of the operator. Pig tracking systems and transmitters, pig washer equipment, and pipeline consulting services are also available. TDW has a competitive advantage over other companies in the automated pigging market due to its global presence and diverse product line. TDW is anticipated to stay ahead of the curve, owing to its competence and financial strength.


• TDW's expert engineers, for example, can not only advise and recommend the best pigging solution for operators but also analyze and interpret pipeline post-inspection data using cutting-edge technologies like artificial intelligence and high-performance computing, allowing them to provide results much faster than traditional methods

Intelligent Pigging Market Segmentation

Global intelligent Pigging market has been segmented based on pipeline type, technology, application, and region. Based on pipeline technology, the market is classified into magnetic flux leakage, caliper, and ultrasonic. Magnetic flux leakage segment is leading the market as it is majorly used in both liquid and gas pipelines and does not require any liquid couplant like ultrasonic pigging.

The global market is further segmented based on application, including metal loss/corrosion, crack & leak detection, and geometry measurement & bend detection. Metal loss/corrosion segment of the global market is estimated to register the highest growth rate during the forecast period. 

Global intelligent Pigging market is expected to witness substantial growth during the forecast period owing to growing investments in pipeline projects especially in oil & gas sector. North America is investing extensively in oil and gas pipeline projects to fulfill the growing demand for energy resources. Moreover, Middle East and Africa is one of the key regions of the intelligent pigging service market due to significant production and exploration of crude oil and gas from the region.

Countries such as UAE, Iraq, Israel, and Egypt, among others are investing in pipeline projects which would drive the growth. For instance, Middle Eastern countries such as Iraq, Iran, Syria have signed an agreement to invest USD 10 billion for natural gas pipeline project. Similarly, Roftnet (Russia) invested USD 3.5 billion to take control of the Iraq Kurdish’s main oil pipeline. These investments would boost the growth of the market.

Intelligent pigging is a technique of inspecting a pipeline internally and gathering information regarding presence and location of corrosion, bends, and other anomalies in the pipelines. The complexity of mandatory pipeline inspections and increased governmental regulations have led to the need for intelligent pigging service for pipelines. Pipeline operators need access to data to mitigate risk and ensure safety effectively by evaluating signs of metal loss, corrosion detection, and other physical defects.