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ASEAN is becoming a new frontier for AI data center investment, with Malaysia and Thailand having the strongest hub potential

Institution
Deutsche Bank
Date
2026-06-29
Authors
Joey Chung
Company
-
Ticker
-
Industry
Data centers, AI infrastructure, information technology services
Rating
-
NeutralLow confidenceThe report argues that AI demand is driving global data center capacity expansion. Although ASEAN's current global share is small, its growth potential is high; Malaysia and Thailand are better suited as regional hubs, while Indonesia is driven more by domestic demand and data localization, and current account, exchange rate, and profit repatriation effects need to be assessed differently.
AuthorsJoey Chung
Asset classesFX
Business segmentsData centers、AI computing infrastructure、Hyperscale cloud service providers、Third-party data center operators、Power and utilities、Telecom operators
Research firm divisions/subsidiariesDeutsche Bank(Other)

AI summary card

ASEAN is becoming a new frontier for AI data center investment, with Malaysia and Thailand having the strongest hub potential

Deutsche Bank believes that the global expansion of AI computing capacity will drive rapid growth in ASEAN data center capacity, but countries differ significantly in power, water resources, regulation, capital inflows, import pressure, and profit retention.

This report is thematic strategy research and does not provide stock ratings, target prices, or expected upside.
Data centersAI computingASEANMalaysiaThailandFXCurrent accountPower utilitiesData sovereignty
  • Global data center capacity is expected to double to 200 GW by 2030. Southeast Asia currently accounts for about 2% of the global total, but its capacity is expected to increase to around three times by 2030.
  • Malaysia and Thailand are considered the most suitable to meet regional data center hub demand due to relatively loose data sovereignty regulation and better infrastructure conditions.
  • Malaysia attracted investment earlier and has shifted more toward local-currency project financing, making direct FX support for the ringgit weaker than investment approval figures suggest.
  • Thailand is still in an early construction cycle, driven more by hyperscale cloud service providers financed through corporate capex, with more visible short-term FDI inflows and exchange-rate support.
  • Data center construction has high import content, which may lift capital goods imports and compress current account surpluses; over the long run, profits flow more to owners of income streams in the US, China, and Singapore, among others.

Report interpretation

Overview

This report examines the regional distribution of data center investment in ASEAN, the sources of investment, financing structures, and their impact on the balance of payments and exchange rates. It notes that AI demand is pushing global data center capacity into an unprecedented expansion cycle, and ASEAN is attracting attention due to its growth potential, land, and infrastructure conditions, but it should not be viewed as a homogeneous market. Malaysia, Thailand, Indonesia, the Philippines, and Vietnam differ significantly in data sovereignty, power, water resources, connectivity, natural disaster risk, and local operator capabilities.

Core views

The core views are: first, Malaysia and Thailand have the greatest potential to become regional data center hubs because regulation on cross-border data flows is relatively loose and conditions for power, land, and water are better; second, Indonesia's data center growth is mainly driven by its large domestic market and data localization regulations, making it more of a domestic market than a regional hub; third, the Philippines and Vietnam remain at an early stage and face constraints related to water resources, natural disasters, electricity prices, or data localization; fourth, FDI inflows during the construction phase may support exchange rates in the short term, but capital goods imports will compress the current account; fifth, long-term profits mostly accrue to data center income stream owners, with the US, China, and Singapore more likely to share the gains, while most ASEAN host countries may face primary income outflows.

Analysis framework

The report uses a three-layer analytical path: first comparing the attractiveness of data center investment across ASEAN markets and the main sources of investors, then analyzing how financing methods for different types of data centers affect FDI, FX, and project finance, and finally assessing the effects of construction-phase capital goods imports, operating-phase ICT service exports, and profit repatriation on the current account and primary income.

Methodology notes

  • Thematic comparisonASEAN data center investment attractiveness scorecard

    Eight-dimension market score

    The scorecard compares Singapore, Malaysia, Indonesia, Thailand, Vietnam, and the Philippines across eight factors: power availability, water stress or availability, connectivity, land availability and cost, regulatory support and stability, skilled labor, natural disaster risk, and local data sovereignty laws. Each metric is ranked from 1 to 6, where 1 represents the most suitable for data center investment and 6 the least suitable, and the overall factor ranking is derived from a simple average of the underlying metrics.

  • Macro transmissionThree-stage balance of payments framework for data center investment

    Financing inflows, capital goods imports, operating income streams

    The report breaks the impact of data center investment into three stages: in the initial investment stage, corporate capex or project financing affects FDI and FX; during construction, high import content lifts capital goods imports and compresses the current account; during operations, ICT service exports are relatively limited, while profit ownership and repatriation determine primary income inflows or outflows.

  • Financing structureMapping of data center types and financing methods

    Standalone facility, campus, hyperscale data center

    Standalone data centers are usually smaller in scale, mostly financed through corporate capex, and reflected as FDI inflows; campus-type projects are typically built through SPVs and project finance debt, with debt repayment relying on the cash flows of the underlying data centers; hyperscale cloud providers' self-use data centers are usually financed through corporate capex.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • Malaysia data centers and MYR
    A relatively mature regional hub candidate, but exchange-rate support is comparatively weaker
    Strengths
    Good infrastructure, land, and regulatory conditions, close to Singapore, and attractive to third-party data center operators from the US, Australia, Japan, the UK, and Singapore.
    Weaknesses
    A higher share of campus-type projects and local-currency project financing reduces the need for direct conversion of US dollars into ringgit; rising capital goods imports compress the current account surplus.
    Comparison
    Compared with Thailand, Malaysia's investment cycle started earlier and the industry is more mature, but new FDI provides weaker marginal support to the exchange rate.
    Risks
    Foreign dominance may lead to profit repatriation during operations, while capital goods imports and current account pressure may persist.
  • Thailand data centers and THB
    An early-stage high-growth host market, with more visible short-term FDI and exchange-rate support
    Strengths
    Relatively loose data sovereignty regulation, proximity to CLMV markets, and the Eastern Economic Corridor plus policy incentives enhance attractiveness; Chinese hyperscale cloud providers and local operators are actively investing.
    Weaknesses
    The industry is still at an early stage, and if it later shifts toward campuses and project financing, direct FDI inflows may provide less support to the exchange rate.
    Comparison
    Compared with Malaysia, Thailand's investment cycle is later and the share of corporate capex financing is higher, making the short-term FX benefit stronger.
    Risks
    Capital goods imports have already risen to 17.5% of GDP, and the current account surplus may narrow further.
  • Indonesia data centers and IDR
    A domestic-oriented market driven by domestic demand and data localization
    Strengths
    Its huge domestic market attracts hyperscale cloud providers, data localization requirements drive local construction, and areas such as Batam and Jakarta have capacity to host projects.
    Weaknesses
    Cross-border data transfer restrictions limit its ability to become a regional hub; most project financing appears to be denominated in US dollars, and the local-currency financing market is relatively underdeveloped.
    Comparison
    Unlike the regional hub logic of Malaysia and Thailand, Indonesia relies more on domestic demand and regulatory constraints.
    Risks
    Natural disasters, water resource distribution, grid transmission and distribution, and US dollar debt financing may increase macro and project risks.
  • Singapore
    A potential beneficiary of data center profits and primary income inflows
    Strengths
    As a regional digital and financial center, it has strong connectivity, capital, and an operator ecosystem, and Singapore entities such as STT GDC, Keppel DC, and Digital Edge are important regional investors.
    Weaknesses
    Local land and power costs are high, and approvals for new capacity place greater emphasis on selectivity and sustainability.
    Comparison
    Singapore may not host the most new physical capacity, but it may capture more profits through ownership and income stream sharing.
    Risks
    If regional policies, energy-use constraints, or cross-border data rules change, the regional income stream structure may adjust.
  • Philippines and Vietnam data centers
    Early-stage markets and potential long-term growth options
    Strengths
    Local telecom operators lead early development, the Philippines has relatively open regulation, and Vietnam has a digitalization strategy and subsea cable expansion plans.
    Weaknesses
    The Philippines faces high electricity prices, water resource issues, and natural disaster risks; Vietnam has the strictest data localization regulation, and connectivity still needs improvement.
    Comparison
    Compared with Malaysia, Thailand, and Indonesia, both are at an earlier stage and have higher barriers to entry.
    Risks
    Water stress, natural disasters, regulatory uncertainty, and power transmission and distribution bottlenecks may constrain the pace of expansion.
  • Regional local data center operators
    A key variable in reducing profit outflows and improving local retention of benefits
    Strengths
    Thailand's GULF, True IDC, and AIS, along with local telecom-affiliated data center operators in Indonesia, the Philippines, and Vietnam, can retain more income streams during operations.
    Weaknesses
    In foreign-dominated markets such as Malaysia, local operators do not have enough influence to fully offset profit repatriation.
    Comparison
    The higher the share of local operators, the more likely the host country is to share in data center operating profits; the higher the share of foreign investors and cross-border platforms, the more likely profits are to flow to the US, China, or Singapore.
    Risks
    If local operators lack sufficient capital, technology, or customer resources, they may still rely on foreign partnerships and dilute local benefits.

Key data

  • Global data center capacityExpected to double to 200 GW by 2030AI demand is driving rapid expansion in global data center capacity, prompting operators to seek new optimal expansion locations.
  • Southeast Asia data center shareCurrently about 2% of the global total, expected to increase to around three times by 2030The region's capacity base is small, but its growth rate is fast.
  • Malaysia positioningRegional hub candidate; US investment sources are more prominentRegulation is more relaxed and infrastructure is more suitable, but the rising share of project financing means direct FDI and ringgit support are weaker than investment approval figures imply.
  • Thailand positioningRegional hub candidate; Chinese investment sources are more prominentThe investment cycle accelerates after 2025, and hyperscale cloud providers financed through corporate capex bring more direct FDI inflows and exchange-rate support.
  • TikTok Thailand investmentIn May 2026, announced a large-scale data infrastructure expansion in the Eastern Economic Corridor at the USD 25bn levelThe report cites this as a representative case of the growing presence of the Chinese ecosystem in Thailand.
  • Malaysia capital goods importsCapital goods imports rose from 7% of GDP to 11% (annualized)Combined with insufficient new FDI inflows, Malaysia's current account surplus fell to 1.5% of GDP by end-2025.
  • Thailand capital goods importsCapital goods imports rose from 15% of GDP to 17.5%As data center construction is still advancing, the report expects Thailand's current account surplus may narrow further going forward.
  • Malaysia ICT services balanceAveraged a deficit of 0.2% of GDP in 2022-2024, turning into a surplus of 0.25% by end-2025The improvement is limited and has not yet had a significant impact on the current account.
  • Thailand local operator investmentGULF, True IDC, and AIS announced investments of about USD 4.3bn, USD 2.4bn, and USD 1.2bn respectively in 2026The presence of local data center operators may limit future primary income outflows caused by profit repatriation.
  • Indonesia project financing caseIn 2025, DayOne-INA obtained an IDR 6.7tn loan, about USD 411mn, for the Batam campusThe report says this is a relatively small but important local-currency data center financing case in Indonesia.

Impact & implications

For investment and macro judgments, data center investment cannot simply be equated with long-term current account improvement. Corporate capex-type projects may first bring FDI and exchange-rate support, but the high import content during construction creates pressure from capital goods imports; project-financed campuses may not be fully reflected in FDI, but may still provide marginal support to the local currency. Over the long term, the incremental increase in ICT service exports may be smaller than the increase in goods exports brought by traditional manufacturing FDI, while the ultimate destination of profits depends on the owners of data center income streams. Markets with a higher share of local operators are more likely to retain part of the gains, while foreign-dominated markets are more prone to primary income outflows.

Risks

  • High capital goods import content may compress current account surpluses during the construction phase.
  • Data center operating profits may accrue to income stream owners in the US, China, or Singapore, leaving host countries facing primary income outflows.
  • Grid transmission and distribution capacity may be unable to meet concentrated demand in high-energy-use areas.
  • Water availability and water quality risks are more prominent in potential hubs such as Jakarta, Ho Chi Minh City, and Manila.
  • The Philippines, Indonesia, and Vietnam face higher natural disaster risks, which may affect site selection and insurance costs.
  • Data localization and cross-border data transfer rules may limit regional hub functionality, especially in Vietnam and Indonesia.
  • If projects shift from corporate capex to local-currency or foreign-currency project financing, FDI and exchange-rate transmission may fall short of investment announcement size.
  • High-electricity-price markets such as Singapore and the Philippines may weaken data center operating cost advantages.

What to watch

  • Whether new data center capacity pipelines in Malaysia and Thailand are delivered on schedule.
  • Whether investment funding comes from corporate capex, FDI, local-currency project financing, or US dollar project financing.
  • The share of capital goods imports in GDP and changes in current account surpluses.
  • Whether improvements in ICT service exports are sufficient to offset goods import pressure during construction.
  • Whether regional data sovereignty regulations, cross-border data transfer rules, and tax incentive policies change.
  • Grid expansion, renewable energy direct purchase agreements, and electricity price trends.
  • The investment progress of local data center operators and their share in income streams.
  • Upgrades to subsea cable connectivity, network latency, and regional digital hub infrastructure.
Zhejiang ICP No. 2022035445-5
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