Global Intelligent Pigging

Intelligent Pigging Comprehensive Study by Type (Magnetic Flux Leakage, Ultrasonic, Caliper), Application (Metal Loss/Corrosion Detection, Geometry Measurement & Bend Detection, Crack & Leak Detection), Pipeline (Gas, Liquid) Players and Region - Global Market Outlook to 2030

Intelligent Pigging Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 4.59%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Intelligent Pigging
Intelligent Pigging refers to a technique used while inspecting a pipeline internally and gathers information regarding presence and location of corrosion, bends, and other anomalies in the pipelines. It is also referred as smart pig which controls the pipeline from inside non-destructively and provide data about length, depth, width and location of a corrosion failure or a crack. Pigs are the tools that are propelled through the pipeline with the help of a pig launcher and is driven by the pressure of the product flow in the pipeline.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR4.59%


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.The Manufacturers having a strong hold in the market are Baker Hughes, a GE company, The Rosen Group, Inc., SGS SA, Intertek Group, T.D. Williamson Inc.. Analyst at AMA Research estimates that European Manufacturers will contribute the maximum growth to Global Intelligent Pigging market throughout the forecasted period. Established and emerging Manufacturers should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Baker Hughes, a GE company (United States), The Rosen Group, Inc. (United States), SGS SA (Switzerland), Intertek Group (United Kingdom), T.D. Williamson Inc. (United States), Applus Services (Spain), Penspen (United Kingdom), Corrosion Control Engineering, Lin Scan (United Arab Emirates) and NDT Global (Australia) are some of the key players that are part of study coverage. Additionally, the Manufacturers which are also part of the research coverage are Quest Integrity Group, LLC (United States), Dacon Inspection Technologies Company Limited (Thailand), Romstar SDN BHD (Malaysia), Onstream Pipeline Inspection Services Inc. (Canada), Cokebusters USA Inc. (United States), Rouge Pipeline & Process Services (United Arab Emirates), Enduro Canada Pipeline Services, Inc. (Canada), A. Hak Industrial Services B.V. (Netherlands), Cdria Pipeline Services (Poland) and Halfwave AS (Norway).

Segmentation Overview
AMA Research has segmented the market of Global Intelligent Pigging market by Type (Magnetic Flux Leakage, Ultrasonic and Caliper), Application (Metal Loss/Corrosion Detection, Geometry Measurement & Bend Detection and Crack & Leak Detection) and Region. On the basis of Type, Magnetic Flux Leakage are dominating the market and held 64.7% of market share in the year 2023 where as Ultrasonic stood as second largest market share and accounted for 21.11%.

On the basis of application, Gas segment is dominating the market and held 74.1% of market share in the year 2023 where as Oil segment stood as second largest market .

On the basis of geography, the market of Intelligent Pigging has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2023. Europe, on the other hand, stood as the second largest market due to the presence of key companies in the region and high technological advancement. If we see Market by Pipeline, the sub-segment i.e. Gas will boost the Intelligent Pigging market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Introduction to Tiny Intelligent Pigs Instead Of Conventional Pipeline Cleaners and Long Term Contracts with the Petroleum Industry

Market Growth Drivers:
Favorable Government Rules and Regulations for Pipeline Inspections and Growing Awareness about Safety Concerns of Pipelines and Energy Infrastructure

Challenges:
Downside Risk of Economy and Threat of Substitutes such as Traditional Pipeline Inspection Techniques

Restraints:
Very Sensitive Pipelines in Case of Petroleum Industry and Bulk of Skilled Workforce might maximize the required Wages

Opportunities:
Robust Technological Enhancements and Growth of Petroleum, Oil and Gas Industry and Introduction to Highly Automated Intelligent Pigs

Market Leaders and their expansionary development strategies
On January 14, 2019, the global pipeline maintenance solution provider “T.D. Williamson” has commercialized a 4-inch magnetic flux leakage (MFL) and deformation (DEF) internal versus external discrimination (IDOD) tool that helps ensure pipeline integrity by detecting pitting and general corrosion as well as interacting features such as dents with metal loss in small diameter, low pressure pipelines.
On February 7th, 2019, Baker Hughes, a GE company has announced that it will supply turbomachinery equipment for the construction of the Golden Pass LNG export facility in Sabine Pass, Texas. The project is expected to produce around 16 million tons per year of LNG. BHGE will provide turbomachinery equipment for three LNG trains, including six gas turbines and 12 centrifugal compressors.


Key Target Audience
Intelligent Pigging Service Providers, Intelligent Pigging Service Distributors and Traders, Pipeline Manufacturers and Constructors, Various Industry Associations, Petroleum as well as Oil and Gas Industry Organizations, Government Agencies and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Magnetic Flux Leakage
  • Ultrasonic
  • Caliper
By Application
  • Metal Loss/Corrosion Detection
  • Geometry Measurement & Bend Detection
  • Crack & Leak Detection
By Pipeline
  • Gas
  • Liquid

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Favorable Government Rules and Regulations for Pipeline Inspections
      • 3.2.2. Growing Awareness about Safety Concerns of Pipelines and Energy Infrastructure
    • 3.3. Market Challenges
      • 3.3.1. Downside Risk of Economy
      • 3.3.2. Threat of Substitutes such as Traditional Pipeline Inspection Techniques
    • 3.4. Market Trends
      • 3.4.1. Introduction to Tiny Intelligent Pigs Instead Of Conventional Pipeline Cleaners
      • 3.4.2. Long Term Contracts with the Petroleum Industry
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Intelligent Pigging, by Type, Application, Pipeline and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Intelligent Pigging (Value)
      • 5.2.1. Global Intelligent Pigging by: Type (Value)
        • 5.2.1.1. Magnetic Flux Leakage
        • 5.2.1.2. Ultrasonic
        • 5.2.1.3. Caliper
      • 5.2.2. Global Intelligent Pigging by: Application (Value)
        • 5.2.2.1. Metal Loss/Corrosion Detection
        • 5.2.2.2. Geometry Measurement & Bend Detection
        • 5.2.2.3. Crack & Leak Detection
      • 5.2.3. Global Intelligent Pigging by: Pipeline (Value)
        • 5.2.3.1. Gas
        • 5.2.3.2. Liquid
      • 5.2.4. Global Intelligent Pigging Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Intelligent Pigging: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Baker Hughes, a GE company (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. The Rosen Group, Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. SGS SA (Switzerland)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Intertek Group (United Kingdom)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. T.D. Williamson Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Applus Services (Spain)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Penspen (United Kingdom)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Corrosion Control Engineering
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Lin Scan (United Arab Emirates)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. NDT Global (Australia)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Intelligent Pigging Sale, by Type, Application, Pipeline and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Intelligent Pigging (Value)
      • 7.2.1. Global Intelligent Pigging by: Type (Value)
        • 7.2.1.1. Magnetic Flux Leakage
        • 7.2.1.2. Ultrasonic
        • 7.2.1.3. Caliper
      • 7.2.2. Global Intelligent Pigging by: Application (Value)
        • 7.2.2.1. Metal Loss/Corrosion Detection
        • 7.2.2.2. Geometry Measurement & Bend Detection
        • 7.2.2.3. Crack & Leak Detection
      • 7.2.3. Global Intelligent Pigging by: Pipeline (Value)
        • 7.2.3.1. Gas
        • 7.2.3.2. Liquid
      • 7.2.4. Global Intelligent Pigging Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Intelligent Pigging: by Type(USD Million)
  • Table 2. Intelligent Pigging Magnetic Flux Leakage , by Region USD Million (2018-2023)
  • Table 3. Intelligent Pigging Ultrasonic , by Region USD Million (2018-2023)
  • Table 4. Intelligent Pigging Caliper , by Region USD Million (2018-2023)
  • Table 5. Intelligent Pigging: by Application(USD Million)
  • Table 6. Intelligent Pigging Metal Loss/Corrosion Detection , by Region USD Million (2018-2023)
  • Table 7. Intelligent Pigging Geometry Measurement & Bend Detection , by Region USD Million (2018-2023)
  • Table 8. Intelligent Pigging Crack & Leak Detection , by Region USD Million (2018-2023)
  • Table 9. Intelligent Pigging: by Pipeline(USD Million)
  • Table 10. Intelligent Pigging Gas , by Region USD Million (2018-2023)
  • Table 11. Intelligent Pigging Liquid , by Region USD Million (2018-2023)
  • Table 12. South America Intelligent Pigging, by Country USD Million (2018-2023)
  • Table 13. South America Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 14. South America Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 15. South America Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 16. Brazil Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 17. Brazil Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 18. Brazil Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 19. Argentina Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 20. Argentina Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 21. Argentina Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 22. Rest of South America Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 23. Rest of South America Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 24. Rest of South America Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 25. Asia Pacific Intelligent Pigging, by Country USD Million (2018-2023)
  • Table 26. Asia Pacific Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 27. Asia Pacific Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 28. Asia Pacific Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 29. China Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 30. China Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 31. China Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 32. Japan Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 33. Japan Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 34. Japan Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 35. India Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 36. India Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 37. India Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 38. South Korea Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 39. South Korea Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 40. South Korea Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 41. Taiwan Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 42. Taiwan Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 43. Taiwan Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 44. Australia Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 45. Australia Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 46. Australia Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 47. Rest of Asia-Pacific Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 48. Rest of Asia-Pacific Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 49. Rest of Asia-Pacific Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 50. Europe Intelligent Pigging, by Country USD Million (2018-2023)
  • Table 51. Europe Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 52. Europe Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 53. Europe Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 54. Germany Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 55. Germany Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 56. Germany Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 57. France Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 58. France Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 59. France Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 60. Italy Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 61. Italy Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 62. Italy Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 63. United Kingdom Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 64. United Kingdom Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 65. United Kingdom Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 66. Netherlands Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 67. Netherlands Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 68. Netherlands Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 69. Rest of Europe Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 70. Rest of Europe Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 71. Rest of Europe Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 72. MEA Intelligent Pigging, by Country USD Million (2018-2023)
  • Table 73. MEA Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 74. MEA Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 75. MEA Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 76. Middle East Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 77. Middle East Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 78. Middle East Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 79. Africa Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 80. Africa Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 81. Africa Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 82. North America Intelligent Pigging, by Country USD Million (2018-2023)
  • Table 83. North America Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 84. North America Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 85. North America Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 86. United States Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 87. United States Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 88. United States Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 89. Canada Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 90. Canada Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 91. Canada Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 92. Mexico Intelligent Pigging, by Type USD Million (2018-2023)
  • Table 93. Mexico Intelligent Pigging, by Application USD Million (2018-2023)
  • Table 94. Mexico Intelligent Pigging, by Pipeline USD Million (2018-2023)
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Intelligent Pigging: by Type(USD Million)
  • Table 106. Intelligent Pigging Magnetic Flux Leakage , by Region USD Million (2025-2030)
  • Table 107. Intelligent Pigging Ultrasonic , by Region USD Million (2025-2030)
  • Table 108. Intelligent Pigging Caliper , by Region USD Million (2025-2030)
  • Table 109. Intelligent Pigging: by Application(USD Million)
  • Table 110. Intelligent Pigging Metal Loss/Corrosion Detection , by Region USD Million (2025-2030)
  • Table 111. Intelligent Pigging Geometry Measurement & Bend Detection , by Region USD Million (2025-2030)
  • Table 112. Intelligent Pigging Crack & Leak Detection , by Region USD Million (2025-2030)
  • Table 113. Intelligent Pigging: by Pipeline(USD Million)
  • Table 114. Intelligent Pigging Gas , by Region USD Million (2025-2030)
  • Table 115. Intelligent Pigging Liquid , by Region USD Million (2025-2030)
  • Table 116. South America Intelligent Pigging, by Country USD Million (2025-2030)
  • Table 117. South America Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 118. South America Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 119. South America Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 120. Brazil Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 121. Brazil Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 122. Brazil Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 123. Argentina Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 124. Argentina Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 125. Argentina Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 126. Rest of South America Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 127. Rest of South America Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 128. Rest of South America Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 129. Asia Pacific Intelligent Pigging, by Country USD Million (2025-2030)
  • Table 130. Asia Pacific Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 131. Asia Pacific Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 132. Asia Pacific Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 133. China Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 134. China Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 135. China Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 136. Japan Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 137. Japan Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 138. Japan Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 139. India Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 140. India Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 141. India Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 142. South Korea Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 143. South Korea Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 144. South Korea Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 145. Taiwan Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 146. Taiwan Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 147. Taiwan Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 148. Australia Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 149. Australia Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 150. Australia Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 151. Rest of Asia-Pacific Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 152. Rest of Asia-Pacific Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 153. Rest of Asia-Pacific Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 154. Europe Intelligent Pigging, by Country USD Million (2025-2030)
  • Table 155. Europe Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 156. Europe Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 157. Europe Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 158. Germany Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 159. Germany Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 160. Germany Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 161. France Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 162. France Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 163. France Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 164. Italy Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 165. Italy Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 166. Italy Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 167. United Kingdom Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 168. United Kingdom Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 169. United Kingdom Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 170. Netherlands Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 171. Netherlands Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 172. Netherlands Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 173. Rest of Europe Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 174. Rest of Europe Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 175. Rest of Europe Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 176. MEA Intelligent Pigging, by Country USD Million (2025-2030)
  • Table 177. MEA Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 178. MEA Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 179. MEA Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 180. Middle East Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 181. Middle East Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 182. Middle East Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 183. Africa Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 184. Africa Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 185. Africa Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 186. North America Intelligent Pigging, by Country USD Million (2025-2030)
  • Table 187. North America Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 188. North America Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 189. North America Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 190. United States Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 191. United States Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 192. United States Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 193. Canada Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 194. Canada Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 195. Canada Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 196. Mexico Intelligent Pigging, by Type USD Million (2025-2030)
  • Table 197. Mexico Intelligent Pigging, by Application USD Million (2025-2030)
  • Table 198. Mexico Intelligent Pigging, by Pipeline USD Million (2025-2030)
  • Table 199. Research Programs/Design for This Report
  • Table 200. Key Data Information from Secondary Sources
  • Table 201. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Intelligent Pigging: by Type USD Million (2018-2023)
  • Figure 5. Global Intelligent Pigging: by Application USD Million (2018-2023)
  • Figure 6. Global Intelligent Pigging: by Pipeline USD Million (2018-2023)
  • Figure 7. South America Intelligent Pigging Share (%), by Country
  • Figure 8. Asia Pacific Intelligent Pigging Share (%), by Country
  • Figure 9. Europe Intelligent Pigging Share (%), by Country
  • Figure 10. MEA Intelligent Pigging Share (%), by Country
  • Figure 11. North America Intelligent Pigging Share (%), by Country
  • Figure 12. Global Intelligent Pigging share by Players 2023 (%)
  • Figure 13. Global Intelligent Pigging share by Players (Top 3) 2023(%)
  • Figure 14. Global Intelligent Pigging share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Baker Hughes, a GE company (United States) Revenue, Net Income and Gross profit
  • Figure 17. Baker Hughes, a GE company (United States) Revenue: by Geography 2023
  • Figure 18. The Rosen Group, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 19. The Rosen Group, Inc. (United States) Revenue: by Geography 2023
  • Figure 20. SGS SA (Switzerland) Revenue, Net Income and Gross profit
  • Figure 21. SGS SA (Switzerland) Revenue: by Geography 2023
  • Figure 22. Intertek Group (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 23. Intertek Group (United Kingdom) Revenue: by Geography 2023
  • Figure 24. T.D. Williamson Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. T.D. Williamson Inc. (United States) Revenue: by Geography 2023
  • Figure 26. Applus Services (Spain) Revenue, Net Income and Gross profit
  • Figure 27. Applus Services (Spain) Revenue: by Geography 2023
  • Figure 28. Penspen (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. Penspen (United Kingdom) Revenue: by Geography 2023
  • Figure 30. Corrosion Control Engineering Revenue, Net Income and Gross profit
  • Figure 31. Corrosion Control Engineering Revenue: by Geography 2023
  • Figure 32. Lin Scan (United Arab Emirates) Revenue, Net Income and Gross profit
  • Figure 33. Lin Scan (United Arab Emirates) Revenue: by Geography 2023
  • Figure 34. NDT Global (Australia) Revenue, Net Income and Gross profit
  • Figure 35. NDT Global (Australia) Revenue: by Geography 2023
  • Figure 36. Global Intelligent Pigging: by Type USD Million (2025-2030)
  • Figure 37. Global Intelligent Pigging: by Application USD Million (2025-2030)
  • Figure 38. Global Intelligent Pigging: by Pipeline USD Million (2025-2030)
  • Figure 39. South America Intelligent Pigging Share (%), by Country
  • Figure 40. Asia Pacific Intelligent Pigging Share (%), by Country
  • Figure 41. Europe Intelligent Pigging Share (%), by Country
  • Figure 42. MEA Intelligent Pigging Share (%), by Country
  • Figure 43. North America Intelligent Pigging Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Baker Hughes, a GE company (United States)
  • The Rosen Group, Inc. (United States)
  • SGS SA (Switzerland)
  • Intertek Group (United Kingdom)
  • T.D. Williamson Inc. (United States)
  • Applus Services (Spain)
  • Penspen (United Kingdom)
  • Corrosion Control Engineering
  • Lin Scan (United Arab Emirates)
  • NDT Global (Australia)
Additional players considered in the study are as follows:
Quest Integrity Group, LLC (United States) , Dacon Inspection Technologies Company Limited (Thailand) , Romstar SDN BHD (Malaysia) , Onstream Pipeline Inspection Services Inc. (Canada) , Cokebusters USA Inc. (United States) , Rouge Pipeline & Process Services (United Arab Emirates) , Enduro Canada Pipeline Services, Inc. (Canada) , A. Hak Industrial Services B.V. (Netherlands) , Cdria Pipeline Services (Poland) , Halfwave AS (Norway)
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Mar 2024 241 Pages 74 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Intelligent Pigging Quantitative research analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Baker Hughes, a GE company (United States), The Rosen Group, Inc. (United States), SGS SA (Switzerland), Intertek Group (United Kingdom), T.D. Williamson Inc. (United States), Applus Services (Spain), Penspen (United Kingdom), Corrosion Control Engineering, Lin Scan (United Arab Emirates) and NDT Global (Australia) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Introduction to Tiny Intelligent Pigs Instead Of Conventional Pipeline Cleaners " is seen as one of major influencing trends for Intelligent Pigging Market during projected period 2023-2030.
The Intelligent Pigging market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates Intelligent Pigging Market to reach USD798.0 Million by 2030.

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