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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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Technology
End Use
Region
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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