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Due to rising integration of automation technology, the original equipment manufacturers and vendors are constantly improving their pipeline inspections and maintenance by investing in research and developments. Advanced intelligent pigging technologies enable efficient diagnosis of flow in the pipeline.
Intelligent pigging services providers are constantly aiming to find dents and deformations that are used by pipeline operators.
According to the FMI’s analysis, the average pricing of intelligent pigging technologies such as UT, MFL, and EMAT technologies require substantial capital investments, which hampers its adoption especially in the developing economies such as India and ASEAN countries. Due to high cost involved in intelligent pigging services, various pipeline operators opt for cost-effective alternatives as compared to smart or intelligent pigging services. This will restraint the growth of the intelligent pigging services market.
Growing number of players in the intelligent pigging services market have also intensified the competition, which in turn, will dwindle profit margins especially in the U.S. where there are large number of original equipment manufacturers.
Due to rise in demand for more sophisticated and small-sized electronic systems, manufacturers are offering comparatively small intelligent pigs for conventional use. Due to the invention of smaller size intelligent pigs, inspection and maintenance of the small-diameter has become possible. The result is likely to lead to significant growth of the intelligent pigging services market.
Alike pigging, manufacturers follow same standards for small pigs i.e. API Standard (In-line inspection systems qualification standard), NACE International (Recommended practice for in-line inspection pipelines) and American Society of Non-destructive Testing (In-line inspection personnel qualification and certification).
With the growing industry and government regulations, regions such as North America and Western Europe have stringent pipeline safety regulations in place to protect the environment and avoid business discontinuity. This intensifying pressure is likely to pose as a potential threat for intelligent pigging service providers. Most regulatory authorities across the world lay emphasis on regular inspection and maintenance of oil and gas pipelines as their regular supply is the key to ensure stable economic growth.
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The intelligent pigging services market is likely to secure a CAGR of 6% through 2032.
The intelligent pigging services market size is estimated to cross US$ 1200.84 Mn by 2032.
The intelligent pigging services market is likely to record a value of US$ 670.54 Mn in 2022.
North America is likely to lead the intelligent pigging services market.
1. Executive Summary
1.1. Global Market Outlook
1.2. Analysis and Recommendations
2. Market Overview
2.1. Market Taxonomy
2.2. Market Definition
2.3. Historical Market Value (US$ Mn) Analysis, 2014-2018
2.4. Current and Future Market Value (US$ Mn) Projections, 2019-2029
2.4.1. Y-o-Y Growth Trend Analysis
2.4.2. Absolute $ Opportunity Analysis
3. Market Background
3.1. Macro-Economic Factors
3.2. Forecast Factors - Relevance & Impact
3.3. Value Chain
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunity Analysis
4. Global Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029, By Technology
4.1. Introduction Historical Market Size (US$ Mn) By Technology, 2014 - 2018
4.2. Current and Future Market Size (US$ Mn) and Forecast By Technology, 2019 - 2029
4.2.1. Magnetic Flux Leakage (MFL)
4.2.2. Ultrasonic Test (UT)
4.3. Market Attractiveness Analysis By Technology
5. Global Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029, By End Use
5.1. Introduction Historical Market Size (US$ Mn) By End Use, 2014 - 2018
5.2. Current and Future Market Size (US$ Mn) and Forecast By End Use, 2019 - 2029
5.2.1. Oil
5.2.2. Gas
5.3. Market Attractiveness Analysis By End Use
6. Global Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029, by Region
6.1. Introduction
6.2. Historical Market Size (US$ Mn) By Region, 2014 - 2018
6.3. Current Market Size (US$ Mn) and Forecast By Region, 2019 - 2029
6.3.1. APEJ
6.3.2. Middle East and Africa
6.3.3. Latin America
6.3.4. Western Europe
6.3.5. Eastern Europe
6.3.6. North America
6.3.7. Japan
6.4. Market Attractiveness Analysis By Region
7. North America Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
7.1. Introduction
7.2. Pricing Analysis
7.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
7.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
7.4.1. By Country
7.4.1.1. U.S.
7.4.1.2. Canada
7.4.2. By Technology
7.4.3. By Application
7.4.4. By End Use
7.5. Market Attractiveness Analysis
7.5.1. By Country
7.5.2. By Technology
7.5.3. By Application
7.5.4. By End Use
7.6. Market Trends
7.7. Key Market Participants - Intensity Mapping
7.8. Drivers and Restraints - Impact Analysis
8. Eastern Europe Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
8.1. Introduction
8.2. Pricing Analysis
8.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
8.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
8.4.1. By Country
8.4.1.1. Russia
8.4.1.2. Poland
8.4.1.3. Rest of Eastern Europe
8.4.2. By Technology
8.4.3. By End Use
8.5. Market Attractiveness Analysis
8.5.1. By Country
8.5.2. By Technology
8.5.3. By End Use
8.6. Market Trends
8.7. Key Market Participants - Intensity Mapping
8.8. Drivers and Restraints - Impact Analysis
9. Middle East and Africa Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
9.1. Introduction
9.2. Pricing Analysis
9.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
9.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
9.4.1. By Country
9.4.1.1. GCC Countries
9.4.1.2. Turkey
9.4.1.3. South Africa
9.4.1.4. Israel
9.4.1.5. Nigeria
9.4.1.6. Iran
9.4.1.7. Rest of Middle East and Africa
9.4.2. By Technology
9.4.3. By End Use
9.5. Market Attractiveness Analysis
9.5.1. By Country
9.5.2. By Technology
9.5.3. By End Use
9.6. Market Trends
9.7. Key Market Participants - Intensity Mapping
9.8. Drivers and Restraints - Impact Analysis
10. Western Europe Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
10.1. Introduction
10.2. Pricing Analysis
10.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
10.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
10.4.1. By Country
10.4.1.1. Germany
10.4.1.2. Italy
10.4.1.3. France
10.4.1.4. U.K.
10.4.1.5. Spain
10.4.1.6. Rest of Western Europe
10.4.2. By Technology
10.4.3. By End Use
10.5. Market Attractiveness Analysis
10.5.1. By Country
10.5.2. By Technology
10.5.3. By End Use
10.6. Market Trends
10.7. Key Market Participants - Intensity Mapping
10.8. Drivers and Restraints - Impact Analysis
11. APEJ Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
11.1. Introduction
11.2. Pricing Analysis
11.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
11.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
11.4.1. By Country
11.4.1.1. India
11.4.1.2. China
11.4.1.3. Oceania
11.4.1.4. ASEAN Countries
11.4.1.5. Rest of APEJ
11.4.2. By Technology
11.4.3. By End Use
11.5. Market Attractiveness Analysis
11.5.1. By Country
11.5.2. By Technology
11.5.3. By End Use
11.6. Market Trends
11.7. Key Market Participants - Intensity Mapping
11.8. Drivers and Restraints - Impact Analysis
12. Latin America Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
12.1. Introduction
12.2. Pricing Analysis
12.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
12.4. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019-2029
12.4.1. By Country
12.4.1.1. Brazil
12.4.1.2. Mexico
12.4.1.3. Argentina
12.4.1.4. Rest of Latin America
12.4.2. By Technology
12.4.3. By End Use
12.5. Market Attractiveness Analysis
12.5.1. By Country
12.5.2. By Technology
12.5.3. By End Use
12.6. Market Trends
12.7. Key Market Participants - Intensity Mapping
12.8. Drivers and Restraints - Impact Analysis
13. Japan Intelligent Pigging Services Market Analysis 2014-2018 and Forecast 2019-2029
13.1. Introduction
13.2. Pricing Analysis
13.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
13.4. Market Size (US$ Mn)Forecast By Market Taxonomy, 2019-2029
13.4.1. By Technology
13.4.2. By End Use
13.5. Market Attractiveness Analysis
13.5.1. By Technology
13.5.2. By End Use
13.6. Market Trends
13.7. Key Market Participants - Intensity Mapping
13.8. Drivers and Restraints - Impact Analysis
14. Market Structure Analysis
14.1. Market Analysis by Tier of Companies
14.2. Market Concentration
14.3. Market Share Analysis of Top Players
14.4. Market Presence Analysis
14.4.1. By Regional footprint of Players
14.4.2. Product foot print by Players
14.4.3. Channel Foot Print by Players
15. Competition Analysis
15.1. Competition Dashboard
15.2. Pricing Analysis by Competition
15.3. Competition Benchmarking
15.4. Competition Deep Dive
15.4.1. LIN SCAN
15.4.1.1. Overview
15.4.1.2. Product Portfolio
15.4.1.3. Profitability by Market Segments (Product/Channel/Region)
15.4.1.4. Sales Footprint
15.4.1.5. Strategy Overview
15.4.1.5.1. Marketing Strategy
15.4.1.5.2. Product Strategy
15.4.1.5.3. Channel Strategy
15.4.2. T.D. Williamson, Inc
15.4.2.1. Overview
15.4.2.2. Product Portfolio
15.4.2.3. Profitability by Market Segments (Product/Channel/Region)
15.4.2.4. Sales Footprint
15.4.2.5. Strategy Overview
15.4.2.5.1. Marketing Strategy
15.4.2.5.2. Product Strategy
15.4.2.5.3. Channel Strategy
15.4.3. Baker Hughes Incorporated
15.4.3.1. Overview
15.4.3.2. Product Portfolio
15.4.3.3. Profitability by Market Segments (Product/Channel/Region)
15.4.3.4. Sales Footprint
15.4.3.5. Strategy Overview
15.4.3.5.1. Marketing Strategy
15.4.3.5.2. Product Strategy
15.4.3.5.3. Channel Strategy
15.4.4. NDT Global GmbH & Co. KG
15.4.4.1. Overview
15.4.4.2. Product Portfolio
15.4.4.3. Profitability by Market Segments (Product/Channel/Region)
15.4.4.4. Sales Footprint
15.4.4.5. Strategy Overview
15.4.4.5.1. Marketing Strategy
15.4.4.5.2. Product Strategy
15.4.4.5.3. Channel Strategy
15.4.5. Enduro Pipeline Services, Inc.
15.4.5.1. Overview
15.4.5.2. Product Portfolio
15.4.5.3. Profitability by Market Segments (Product/Channel/Region)
15.4.5.4. Sales Footprint
15.4.5.5. Strategy Overview
15.4.5.5.1. Marketing Strategy
15.4.5.5.2. Product Strategy
15.4.5.5.3. Channel Strategy
15.4.6. Petróleo Brasileiro S.A
15.4.6.1. Overview
15.4.6.2. Product Portfolio
15.4.6.3. Profitability by Market Segments (Product/Channel/Region)
15.4.6.4. Sales Footprint
15.4.6.5. Strategy Overview
15.4.6.5.1. Marketing Strategy
15.4.6.5.2. Product Strategy
15.4.6.5.3. Channel Strategy
15.4.7. OMV Groups
15.4.7.1. Overview
15.4.7.2. Product Portfolio
15.4.7.3. Profitability by Market Segments (Product/Channel/Region)
15.4.7.4. Sales Footprint
15.4.7.5. Strategy Overview
15.4.7.5.1. Marketing Strategy
15.4.7.5.2. Product Strategy
15.4.7.5.3. Channel Strategy
15.4.8. ConocoPhillips
15.4.8.1. Overview
15.4.8.2. Product Portfolio
15.4.8.3. Profitability by Market Segments (Product/Channel/Region)
15.4.8.4. Sales Footprint
15.4.8.5. Strategy Overview
15.4.8.5.1. Marketing Strategy
15.4.8.5.2. Product Strategy
15.4.8.5.3. Channel Strategy
15.4.9. Royal Dutch Shell PLC.
15.4.9.1. Overview
15.4.9.2. Product Portfolio
15.4.9.3. Profitability by Market Segments (Product/Channel/Region)
15.4.9.4. Sales Footprint
15.4.9.5. Strategy Overview
15.4.9.5.1. Marketing Strategy
15.4.9.5.2. Product Strategy
15.4.9.5.3. Channel Strategy
16. Assumptions and Acronyms Used
17. Research Methodology
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Intelligent Pigging Services Market
