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Asia Pacific Oil Storage Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2025-2034

Published Sep 30, 2025
Length 171 Pages
SKU # GMI20513069

Description

Asia Pacific Oil Storage Market was valued at 687.4 million cubic meters in 2024 and is estimated to grow at a CAGR of 6.6% to reach 1,311.7 million cubic meters by 2034.

Market growth is primarily fueled by increasing refining capacity, rising crude oil imports, and strategic initiatives aimed at enhancing regional energy security. The region’s expanding industrial base, robust petrochemical sector, and growing investments in both commercial and strategic reserves are contributing significantly to the demand for large-scale storage infrastructure. Rapid digitalization, automation, and the integration of IoT technologies into tank management systems are further enhancing the efficiency, safety, and traceability of oil logistics across key markets, including China, India, Japan, and South Korea.

The floating roof segment generated USD 254.1 million cubic meters in 2024 owing to its superior safety, vapor-loss reduction, and cost efficiency in large-capacity storage applications. These tanks are extensively deployed in refineries, terminals, and depots to store crude oil and refined petroleum products. Their ability to adapt to fluctuating oil levels minimizes emissions and evaporation losses, aligning with stricter environmental and regulatory standards across the Asia Pacific. Continuous innovation in material technology, such as the adoption of composite and double-walled designs, has further strengthened the use of floating roof tanks in modernized facilities.

By end-use, the crude oil storage segment generated USD 281.9 million cubic meters in 2024, supported by accelerating industrialization, refinery expansions, and growing import dependencies in emerging economies. Nations including China, India, and Indonesia have significantly expanded their strategic petroleum reserves to safeguard against supply disruptions and global oil price volatility. The surge in refining projects, such as China’s Zhejiang Refinery and India’s Padur underground caverns, highlights the increasing alignment between refining growth and storage capacity development. The adoption of digital monitoring systems and predictive maintenance tools ensures operational safety, regulatory compliance, and optimized throughput across large-scale storage networks.

China Oil Storage Market generated USD 174.9 million cubic meters in 2024, driven by advanced port infrastructure, extensive refining capacity, and ongoing strategic reserve expansion. The country’s state-owned enterprises, including Sinopec and CNPC, continue to invest heavily in upgrading existing tank farms and constructing new facilities integrated with smart monitoring systems. Meanwhile, India is emerging as the fastest-growing market, driven by government-backed infrastructure projects, the expansion of ISPRL reserves, and increasing participation of private players in crude and product storage. Singapore, as a regional trading and bunkering hub, remains a strategic focal point for oil storage, blending, and transshipment activities, further enhancing its role in the regional energy supply chain.

Leading players in the Asia Pacific Oil Storage Market are focusing on strategic partnerships, capacity expansion, and digital transformation to strengthen their regional foothold. Companies such as Sinopec, Vopak, Indian Oil Corporation, and Dialog Group Berhad are expanding terminal capacity through joint ventures and modernization projects to accommodate growing demand for refined products and sustainable fuels. Firms are increasingly investing in smart tank monitoring systems, automation, and predictive analytics to improve safety and asset utilization. Moreover, strategic investments in biofuel blending, LNG, and LPG storage underscore the transition toward diversified and cleaner energy portfolios. Collaborative initiatives with governments and port authorities further enable optimized trade logistics, strengthening the resilience and competitiveness of regional oil storage networks.

Table of Contents

171 Pages
Chapter 1 Methodology
1.1 Research design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates and calculations
1.2.1 Key trends for market estimates
1.3 Market definitions
1.4 Forecast model
1.5 Primary research and validation
1.6 Some of the primary sources (but not limited to)
1.7 Data mining sources
1.7.1 Secondary
1.7.1.1 Paid sources
1.7.1.2 Sources, by county
Chapter 2 Executive Summary
2.1 Industry snapshot
2.2 Business trends
2.3 Product trends
2.4 End use trends
2.5 Country trends
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Regulatory landscape
3.2.1 IMO Ref. T5/
1.01 MEPC.1/Circ.680
3.2.2 EPA OOOOa Compliance Guide
3.2.3 Asia Pacific
3.2.3.1 China
3.2.3.1.1 14th five-year plan
3.2.3.1.2 National Zoning & Environmental Policy
3.2.3.1.3 Grid & Planning Regulations
3.2.3.2 Japan
3.2.3.2.1 Exclusive Zone Allocation through National Auctions
3.2.3.3 Australia
3.2.3.3.1 Federal Environmental Laws (EPBC Act)
3.2.3.3.2 Offshore Electricity Infrastructure Act 2021
3.2.3.3.3 Clean Energy Regulator - Emissions Reduction Fund
3.2.3.3.4 Federal Climate and Energy Policy
3.2.3.4 South Korea
3.2.3.5 Hongkong
3.2.3.5.1 GA 634-2015
3.2.3.5.2 GA 44-2015
3.2.3.6 Vietnam
3.2.3.6.1 QCVN 01:2020/BCT
3.2.3.7 Thailand
3.2.3.7.1 Fuel Oils Control Act, B.E. 2542 (1999)
3.2.3.7.2 Bureau of Fuel Trade and Stockpile
3.2.3.8 Malaysia
3.2.3.8.1 Petroleum (Safety Measures) Act 1984 (Act 302)
3.3 Industry impact forces
3.3.1 Growth drivers
3.3.1.1 Increasing energy production rate & oil trade movement
3.3.1.2 Requirement of additional storage capacity
3.3.2 Industry Pitfalls and challenges
3.3.2.1 High capital expenditure
3.4 Growth potential analysis
3.5 Porter's analysis
3.6 PESTEL analysis
3.7 Emerging opportunities and trends
3.7.1 Digitalization and IoT integration
3.7.2 Various storage technology adoption
Chapter 4 Competitive Landscape, 2025
4.1 Introduction
4.2 Company market share analysis, 2024
4.3 Strategic initiatives
4.4 Strategic dashboard
4.4.1 CMIC ENRIC
4.4.1.1 Installation / Supply
4.4.2 China National Petroleum Corporation
4.4.2.1 Acquisition
4.4.2.2 Project
4.4.3 Vopak Singapore
4.4.3.1 Business Expansion
4.4.3.2 Facility Development
4.4.4 IHI Corporation
4.4.4.1 Contract
4.4.5 Indian Oil Corporation Limited
4.4.5.1 Investment
4.4.5.2 Partnership
4.4.6 DIALOG Group Berhad
4.4.6.1 Business Development
4.4.7 T Bailey
4.4.7.1 Acquisition
4.4.8 Advario
4.4.8.1 Memorandum of Understanding
4.4.8.2 Acquisition
4.4.9 China National Offshore Oil Corporation
4.4.9.1 Facility Development
4.4.10 Sinopec
4.4.10.1 Acquisition
4.4.11 Other Strategies
4.5 Competitive benchmarking
4.6 Innovation and technology landscape
4.6.1 CMIC Enric Holdings
4.6.2 DIALOG Group Berhad
4.6.3 Other Innovations
Chapter 5 Market Size and Forecast, By Product, 2021 - 2034 (Million Cubic Meters)
5.1 Key trends
5.2 Fixed roof
5.3 Floating roof
5.4 Spherical
5.5 Others
Chapter 6 Market Size and Forecast, By End Use, 2021 - 2034 (Million Cubic Meters)
6.1 Key trends
6.2 Crude oil
6.3 Gasoline
6.4 Aviation fuel
6.5 Middle distillates
6.6 LNG
6.7 LPG
Chapter 7 Market Size and Forecast, By Country, 2021 - 2034 (Million Cubic Meters)
7.1 Key trends
7.2 China
7.3 Australia
7.4 Japan
7.5 South Korea
7.6 Singapore
7.7 Malaysia
7.8 Indonesia
7.9 Taiwan
7.10 Philippines
7.11 Thailand
7.12 Vietnam
Chapter 8 Company Profiles
8.1 Advario
8.1.1 Financial data
8.1.2 Product landscape
8.1.3 SWOT analysis
8.2 BANDA SHIPPING PTE LTD
8.2.1 Financial data
8.2.2 Product landscape
8.2.3 SWOT analysis
8.3 Tianjin Anson International Co., Ltd.
8.3.1 Financial data
8.3.2 Product landscape
8.3.3 SWOT analysis
8.4 CIMC ENRIC
8.4.1 Financial data
8.4.2 Product landscape
8.4.3 Strategic outlook
8.4.4 SWOT analysis
8.5 China National Offshore Oil
8.5.1 Financial Data
8.5.2 Product landscape
8.5.3 Strategic outlook
8.5.4 SWOT analysis
8.6 CNPC
8.6.1 Financial data
8.6.2 Product landscape
8.6.3 Strategic outlook
8.6.4 SWOT analysis
8.7 CST Industries
8.7.1 Financial data
8.7.2 Product landscape
8.8 DIALOG Group Berhad
8.8.1 Financial Data
8.8.2 Product landscape
8.8.3 Strategic outlook
8.8.4 SWOT analysis
8.9 ERGIL
8.9.1 Financial data
8.9.2 Product landscape
8.9.3 SWOT analysis
8.10 Indian Oil Corporation Ltd.
8.10.1 Financial data
8.10.2 Product landscape
8.10.3 Strategic Outlook
8.10.4 SWOT analysis
8.11 IHI Corporation
8.11.1 Financial data
8.11.2 Product landscape
8.11.3 Strategic Outlook
8.11.4 SWOT analysis
8.12 Horizon Terminals
8.12.1 Financial Data
8.12.2 Product Landscape
8.12.3 SWOT Analysis
8.13 Jurong Port Universal Terminal Pte. Ltd.
8.13.1 Financial Data
8.13.2 Product Landscape
8.13.3 SWOT Analysis
8.14 Keller ASEAN
8.14.1 Financial Data
8.14.2 Product Landscape
8.14.3 SWOT Analysis
8.15 Kemaman Bitumen Company Sdn. Bhd.
8.15.1 Financial Data
8.15.2 Product Landscape
8.15.3 SWOT Analysis
8.16 Korea National Oil Corporation
8.16.1 Financial Data
8.16.2 Product Landscape
8.16.3 SWOT Analysis
8.17 NOV
8.17.1 Financial Data
8.17.2 Product Landscape
8.17.3 SWOT Analysis
8.18 Oil and Natural Gas Corporation Limited
8.18.1 Financial Data
8.18.2 Product Landscape
8.18.3 SWOT Analysis
8.19 Petron
8.19.1 Financial data
8.19.2 Product landscape
8.19.3 SWOT analysis
8.20 PT Pertamina Energy Terminal
8.20.1 Financial Data
8.20.2 Product Landscape
8.20.3 Strategic Outlook
8.20.4 SWOT Analysis
8.21 Petrovietnam Oil Stockpile Company Limited
8.21.1 Financial Data
8.21.2 Product Landscape
8.21.3 SWOT Analysis
8.22 Sinopec
8.22.1 Financial data
8.22.2 Product landscape
8.22.3 Strategic Outlook
8.22.4 SWOT analysis
8.23 Shawcor (Mattr)
8.23.1 Financial Data
8.23.2 Product Landscape
8.23.3 SWOT Analysis
8.24 SK Energy
8.24.1 Financial Data
8.24.2 Product Landscape
8.24.3 SWOT Analysis
8.25 Tankstore
8.25.1 Financial Data
8.25.2 Product Landscape
8.25.3 SWOT Analysis
8.26 Singapore Petroleum Company Limited
8.26.1 Financial Data
8.26.2 Product Landscape
8.26.3 SWOT Analysis
8.27 Vopak Singapore
8.27.1 Financial Data
8.27.2 Product Landscape
8.27.3 Strategic Outlook
8.27.4 SWOT Analysis

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