Singapore AI Data Center Market Size, Share & Forecast to 2035

The Singapore AI Data Center Market covers the annual spending on data center capacity built or converted in Singapore for artificial intelligence (AI) training and inference: AI servers and accelerators, networking, storage, power and cooling infrastructure, and the construction of the halls that house them. DC Market Insights values the Singapore AI Data Center Market at USD 1.98 billion in 2025 and forecasts USD 5.60 billion by 2035, a CAGR of 10.95%. The 2025 value is built from the deployments themselves: about 45 MW of new AI IT capacity at an all-in cost of roughly USD 42.0 million per MW gives USD 1.89 billion of new-build spend, and the refresh of AI hardware installed in 2020 adds USD 91.20 million. Direct-to-chip liquid cooling is the fastest-growing segment at 19.09% a year because DC Market Insights expects new AI racks of about 120 kW to be liquid-cooled, and the West Region is the fastest-growing sub-market at 13.38% a year because the up-to-700 MW Jurong Island data center park and the Tuas and Jurong sites sit there.

Executive Summary

The Singapore AI Data Center Market size was valued at USD 190.00 million in 2020, reached USD 1.98 billion in 2025, and is anticipated to reach USD 5.60 billion by 2035, at a CAGR of 10.95% during the forecast period.

Report attribute	Details
Historical Period	2020-2024
Base Year	2025
Forecast Period	2026-2035
Singapore AI Data Center Market Size 2025	USD 1.98 Billion
Singapore AI Data Center Market, CAGR	10.95%
Singapore AI Data Center Market Size 2035	USD 5.60 Billion

Yes, Singapore has AI data centers, and DC Market Insights estimates they are its fastest-growing data center category. DC Market Insights estimates that the market grew at 59.82% a year between 2020 and 2025, and that 2025 alone added 77.2% over 2024 as graphics processing unit (GPU) clusters moved from pilot halls into AI-ready colocation and hyperscale buildings. Singapore now hosts more than 70 cloud, enterprise and colocation data centers with total capacity above 1.4 gigawatts (GW), according to the Ministry of Digital Development and Information (MDDI). DC Market Insights estimates that about 104 MW of that base had been built or converted for AI workloads by the end of 2025.

Growth slows to 10.95% a year from 2025 to 2035 for two reasons. Land and power stay rationed: the government releases new capacity in allocation rounds rather than letting the market build freely. And the cost of each MW of AI capacity falls about 2.5% a year as each accelerator generation delivers more compute per watt. Annual AI deployments still rise from 45 MW in 2025 to 95 MW in 2030 and 120 MW in 2035, lifting installed AI capacity to just over 1 GW.

Market Scope: What Is the Singapore AI Data Center Market?

The Singapore AI Data Center Market is the money spent each year to put AI compute into service on Singapore soil, valued at first sale in current US dollars, with 2025 as the base year and forecasts to 2035. DC Market Insights sizes it at USD 1.98 billion in 2025.

Included. AI servers with GPUs or other accelerators, the back-end and front-end networking that connects them, storage attached to AI clusters, power and cooling equipment installed for AI halls (including direct-to-chip and immersion cooling), the construction and fit-out of new AI halls, and the conversion of existing halls to AI densities. Spending by hyperscale cloud providers, colocation operators, GPU cloud providers, enterprises and public research centers is counted.

Excluded. Conventional cloud and enterprise IT capacity, land and electricity bills, software licenses, staff, and AI hardware that is billed to a Singapore address but shipped to and installed in another country.

How the segments fit together. Every dimension in this report, from component to data center type, workload, cooling technology, end user and sub-market, re-cuts the same USD 1.98 billion. The market is a slice of the wider Singapore Data Center Market, limited to capacity built for AI.

Market Drivers: Why Is Singapore Building AI Data Centers?

Three drivers lift the Singapore AI Data Center Market from USD 1.98 billion in 2025 to USD 5.60 billion by 2035. They are hyperscale and colocation investment programs of about 19 billion Singapore dollars (SGD), made up of AWS’s additional SGD 12 billion for 2024 to 2028 and Digital Realty’s nearly SGD 7 billion; government capacity releases aimed at AI-ready and green buildings; and state funding for AI compute of more than SGD 1 billion.

New AI Deployments Rise from 45 MW in 2025 to 120 MW a Year by 2035

The Singapore AI Data Center Market is a build market: 95.4% of 2025 spending went into new or converted AI capacity rather than refresh. DC Market Insights models annual AI deployments rising from 45 MW in 2025 to 95 MW in 2030 and 120 MW in 2035. The pipeline behind those numbers is visible. Nxera, Singtel’s data center arm, opened DC Tuas in February 2026 with 58 MW of AI-ready capacity (Source: Singtel release published by JTC Corporation); Singtel describes it as Singapore’s highest power-density multi-tenanted data center and the country’s largest direct-to-chip liquid cooling deployment. DayOne broke ground in July 2025 on a 20 MW facility at Jalan Buroh that is purpose-built for AI workloads, with its first phase due in 2026, and Equinix is building SG6, a 20 MW liquid-cooled facility with an initial investment of USD 260 million, due to open in the first quarter of 2027.

Hyperscale and Colocation Investment Programs Approach SGD 19 Billion

Several major buyers have published multi-year budgets. Amazon Web Services (AWS) plans to invest an additional SGD 12 billion in its Singapore cloud infrastructure from 2024 to 2028. Google completed its fourth Singapore data center in 2024, bringing its total infrastructure investment in the country to USD 5 billion. In April 2026, Digital Realty pledged nearly SGD 7 billion of total investment in Singapore, including more than SGD 4.3 billion for new data center developments, and described Singapore as a critical hub for AI inference in Asia Pacific. DC Market Insights counts only the AI share of these programs, which is why hyperscale and cloud providers account for USD 962.86 million (48.6%) of the 2025 market rather than all of their spending.

State Funding Puts More Than SGD 1 Billion into AI Compute and Talent

Singapore’s refreshed National AI Strategy (NAIS 2.0), launched in December 2023, was followed in Budget 2024 by a commitment of more than SGD 1 billion over five years for AI compute, talent and industry development, including up to SGD 500 million for high-performance compute. The National Supercomputing Centre (NSCC) runs ASPIRE 2A+, a SuperPOD built on NVIDIA’s AI server platform (DGX) with DGX H100 systems, delivering about 20 petaflops of FP64 Tensor Core compute. DC Market Insights values government and research spending at USD 124.82 million in 2025, 6.3% of the market.

Market Trends: Which Singapore Data Centres Provide High-Density GPU Racks and Low PUE?

The Singapore operators that now advertise high-density GPU racks, low power usage effectiveness (PUE) and liquid cooling include Nxera (DC Tuas, PUE 1.25), STT GDC (STT Singapore 6), Equinix (SG6) and DayOne, and DC Market Insights expects liquid-cooled capacity to take 77.6% of AI spending by 2035.

Liquid Cooling Moves from Pilot to Default

STT GDC’s STT Singapore 6 holds NVIDIA DGX-Ready Data Center certification and supports both immersion and direct-to-chip cooling. The Infocomm Media Development Authority (IMDA) and Enterprise Singapore have launched Singapore Standard (SS) 726:2026, a standard for liquid cooling in tropical data centers. A single NVIDIA GB200 NVL72 rack draws about 120 kW, and DC Market Insights assumes racks of that class are liquid-cooled. DC Market Insights estimates that direct-to-chip liquid cooling covered 33.2% of 2025 spending and will reach 67.4% by 2035.

Inference Overtakes Training Before 2030

Training clusters accounted for USD 1.15 billion (57.8%) of 2025 spending, and inference for USD 836.07 million (42.2%). DC Market Insights forecasts inference to grow at 15.06% a year and training at 6.75%, so inference reaches 60.7% of the market by 2035. Inference needs low latency to users across Southeast Asia, which favors Singapore’s interconnected colocation campuses over remote training sites.

AI-Ready Colocation Gains Share over Self-Built Halls

Colocation operators take the largest share gain of any buyer, from 24.3% in 2025 to 29.8% by 2035, growing at 13.24% a year. Operators sell AI-ready halls with liquid cooling loops and rack power already installed, which gives tenants rapid rack power provisioning when they need capacity within months. The Singapore Data Center Colocation Market report covers the wider colocation base that these AI halls sit in.

Market Challenges: What Limits AI Data Center Growth in Singapore?

Power and land cap the Singapore AI Data Center Market at about 45 MW of new AI capacity in 2025, a DC Market Insights estimate. Data centers used around 7% of Singapore’s electricity, according to a January 2022 trade-press report, and new capacity is released only through government allocation rounds, about 80 MW in the 2023 pilot and at least 200 MW in DC-CFA2, alongside the Green Data Centre Roadmap’s aim of at least 300 MW in the near term.

Capacity Is Rationed Through Allocation Rounds

Singapore paused new data center development in 2019 and lifted the pause, with conditions, in January 2022. The first Data Centre Call for Application (DC-CFA) provisionally awarded about 80 MW in July 2023 to four proposals: a consortium of AirTrunk and ByteDance, Equinix, GDS and Microsoft. The Green Data Centre Roadmap of May 2024 aims to free at least 300 MW of additional capacity in the near term and targets a PUE of 1.3 or lower. Against more than 1.4 GW of installed capacity, these releases mean AI growth comes partly from converting existing halls, which DC Market Insights includes in its deployment counts.

Household Electricity Tariffs Rose 17.0% in One Quarter

SP Group raised household electricity tariffs (before goods and services tax) by 17.0%, or 4.64 cents per kWh, for July to September 2026, taking them to 31.91 cents per kWh. Data centers buy power on their own contracts, so DC Market Insights uses the household tariff only as an indicator of energy cost pressure. Every MW of AI load running for a year uses 8,760 MWh, so energy price moves weigh directly on the cost of AI capacity and push operators toward lower-PUE designs.

Market Opportunities: Where Can Companies Access Scalable AI Factory Infrastructure in Southeast Asia?

Within Singapore, the largest new pools of AI factory capacity are the Jurong Island data center park, with up to 700 MW of power, and the 200 MW awarded under the second allocation round in August 2026.

Jurong Island Park Adds Up to 700 MW of Low-Carbon Capacity

In October 2025, JTC Corporation (JTC) and the Economic Development Board (EDB) announced Singapore’s largest low-carbon data center park, about 20 hectares on Jurong Island with up to 700 MW of power capacity. In August 2026, the second call for application (DC-CFA2) provisionally awarded 50 MW each to Digital Realty, Equinix, Keppel Data Centres and STT GDC on Jurong Island. Keppel’s site, Keppel DC SGP 11, is an AI-ready data center targeting a PUE below 1.2. DC Market Insights expects these sites to drive the West Region’s share from 47.2% in 2025 to 58.6% in 2035.

GPU Cloud and Neocloud Spending Grows 12.35% a Year

GPU cloud and neocloud providers account for 11.2% of the Singapore AI Data Center Market in 2025, and DC Market Insights forecasts their segment to grow 12.35% a year to 12.7% of the market by 2035. Companies that want GPU capacity without building their own halls rent it from these providers or from hyperscale clouds.

Pricing: How Much Does an AI Data Center Cost per MW in Singapore?

An MW of AI capacity in Singapore costs about USD 42.0 million all-in for 2025, a DC Market Insights estimate that covers servers and accelerators, networking, storage, power and cooling, and the building. Servers and accelerators take 63.6% of that cost.

All-in AI capacity cost (USD million per MW)	2020	2025	2030	2035
All-in cost per MW	38.00	42.00	37.01	32.60
AI capacity deployed (MW)	5	45	95	120
New-build spend (USD billion)	0.19	1.89	3.52	3.91

Cost per MW peaks in the model at USD 44.0 million in 2023, and DC Market Insights models a 2.5% annual decline from 2026 as each accelerator generation puts more compute behind each watt. DC Market Insights reads the Equinix SG6 figure, USD 260 million for 20 MW, as facility spending before tenant servers, which fits the power, cooling and building share of the model.

Standards and Regulation: Which Rules Shape AI Data Centers in Singapore?

Four sets of rules decide how AI capacity is built in Singapore: the allocation rounds run by EDB and IMDA, the Green Data Centre Roadmap, the SS 715 and SS 726 standards, and green-power conditions on new capacity.

Green Data Centre Roadmap (May 2024). The IMDA Green Data Centre Roadmap targets a PUE of 1.3 or lower and at least 300 MW of additional capacity in the near term, and committed IMDA to standards for IT equipment energy efficiency and liquid cooling.

DC-CFA2, SS 715:2025 and SS 726:2026. The second call, launched in December 2025, made at least 200 MW available and required new capacity to be at least 50% powered by eligible green energy pathways; applications closed on 31 March 2026. IMDA’s SS 715:2025 standard on the energy efficiency of data center IT equipment aims to cut IT equipment energy use by at least 30%. The SS 726:2026 liquid cooling standard for tropical data centers sets the design basis for the direct-to-chip and immersion halls that DC Market Insights expects to carry 77.6% of AI spending by 2035.

Market Segmentation: Which Segment Leads the Singapore AI Data Center Market?

AI servers and accelerators lead the Singapore AI Data Center Market with 63.6% of 2025 value, hyperscale and cloud providers lead buyers with 48.6%, and internet and IT services lead end users with 46.1%. Direct-to-chip liquid cooling is the fastest-growing segment at 19.09% a year, because DC Market Insights expects new GPU racks of about 120 kW to be liquid-cooled and SS 726:2026 now gives builders a common design basis.

By Component: AI Servers and Accelerators Lead with 63.6%

Component	2025 (USD billion)	Share 2025	2035 (USD billion)	CAGR 2025-2035
AI Servers and Accelerators	1.26	63.6%	3.37	10.32%
Networking and Interconnect	0.19	9.8%	0.62	12.28%
Storage	0.13	6.8%	0.41	11.89%
Power and Cooling Infrastructure	0.23	11.9%	0.77	12.65%
Facility Construction	0.16	8.0%	0.43	10.54%

Power and cooling infrastructure grows fastest among components at 12.65% a year because liquid cooling loops, coolant distribution units and higher-rated power trains cost more per MW than air-cooled designs. Storage for AI clusters, worth USD 134.73 million in 2025, grows at 11.89% a year as enterprises in finance and healthcare keep training data and models in-country.

Which Data Storage Companies in Singapore Specialise in Enterprise-Scale AI and Analytics Workloads?

Storage for enterprise-scale AI and analytics workloads is worth USD 134.73 million in the Singapore AI Data Center Market in 2025, a DC Market Insights estimate, and reaches USD 414.37 million by 2035. DC Market Insights does not recommend individual storage vendors. Buyers looking for an AI storage company in Singapore for deep learning workloads usually choose between storage sold from the AWS Asia Pacific (Singapore) Region and other hyperscale clouds, and storage deployed next to their own GPU clusters inside AI-ready colocation halls run by operators such as STT GDC, Equinix, Digital Realty and Nxera. Hyperscale and cloud buyers account for USD 69.33 million of AI storage spending in 2025, and enterprises for USD 18.83 million.

By Data Center Type: Hyperscale and Cloud Providers Lead with 48.6%

Data center type	2025 (USD billion)	Share 2025	2035 (USD billion)	CAGR 2025-2035
Hyperscale and Cloud Provider	0.96	48.6%	2.51	10.07%
Colocation	0.48	24.3%	1.67	13.24%
GPU Cloud and Neocloud	0.22	11.2%	0.71	12.35%
Enterprise	0.19	9.6%	0.41	7.95%
Government and Research	0.12	6.3%	0.30	9.05%

Colocation grows fastest among data center types because the Jurong Island allocations went to colocation operators. Enterprise data centers grow slowest at 7.95% a year as companies rent GPU capacity rather than build it.

By Workload: Training Leads with 57.8%

Training accounted for USD 1.15 billion (57.8%) of 2025 spending and grows at 6.75% a year to USD 2.20 billion by 2035. Inference grows at 15.06% a year from USD 836.07 million to USD 3.40 billion and becomes the larger workload before 2030.

By Cooling Technology: Air Cooling Leads with 61.5% in 2025

Air-cooled AI capacity accounted for USD 1.22 billion (61.5%) of 2025 spending but stays nearly flat, growing 0.29% a year. Direct-to-chip liquid cooling grows from USD 657.76 million (33.2%) to USD 3.77 billion, and immersion cooling from USD 105.00 million (5.3%) to USD 571.17 million, a growth rate of 18.46% a year. The Singapore Data Center Cooling Market report covers the cooling equipment itself.

By End User: Internet and IT Services Lead with 46.1%

Internet and IT services, including cloud platforms, social media and online services, accounted for USD 913.33 million (46.1%) in 2025. Banking, financial services and insurance (BFSI) follows with USD 305.10 million (15.4%), then telecom with 10.7%, government and research with 8.8%, manufacturing and logistics with 7.9%, healthcare and life sciences with 5.6%, and others with 5.5%. Healthcare and life sciences grows fastest among named verticals at 14.08% a year, followed by manufacturing and logistics at 13.71%.

DC Exclusive: The Singapore AI Capacity Cost Stack by Buyer and Component

At USD 643.19 million in 2025, hyperscale spending on AI servers and accelerators is the largest cell of the matrix and 32.5% of the Singapore AI Data Center Market. The matrix cross-tabulates what is bought against who buys it.

2025, USD billion	Servers and Accelerators	Networking	Storage	Power and Cooling	Facility	Total
Hyperscale and Cloud Provider	0.64	0.10	0.07	0.09	0.06	0.96
Colocation	0.27	0.04	0.02	0.09	0.06	0.48
GPU Cloud and Neocloud	0.16	0.03	0.01	0.02	0.01	0.22
Enterprise	0.12	0.02	0.02	0.02	0.02	0.19
Government and Research	0.08	0.01	0.01	0.02	0.01	0.12
Total	1.26	0.19	0.13	0.23	0.16	1.98

Colocation buyers spend 31.3% of their AI budget on power, cooling and the building, against 15.9% for hyperscale buyers, because colocation operators build the shell and cooling while tenants bring most of the servers. GPU cloud providers carry the highest server share at 71.3%. A supplier of liquid cooling or electrical systems therefore sells mainly to colocation operators, while a server vendor sells mainly to hyperscalers and GPU clouds.

The model also explains a figure that confuses many readers. NVIDIA billed USD 23.68 billion of revenue to Singapore in its fiscal year 2025, 18% of its total, but only about 2% of its revenue came from products shipped to Singapore (Source: NVIDIA annual report filed with the US Securities and Exchange Commission). Singapore is a billing hub far larger than its installed base. DC Market Insights values 2025 spending on AI servers and accelerators deployed in Singapore at USD 1.26 billion.

The Singapore AI Data Center Market figures are a DC Market Insights model, not a shipment count. The model is built from 58 inputs: 16 annual AI capacity cohorts (2020 to 2035), 16 annual cost-per-MW values, 2 refresh parameters, 5 component splits, 5 buyer splits, 4 sub-market splits, and 10 company and government disclosures used as cross-checks. The model and its assumptions are explained on our research methodology page.

Regional Insights: Which Part of Singapore Leads the AI Data Center Market?

The West Region leads the Singapore AI Data Center Market with 47.2% of 2025 value. It is also the fastest-growing sub-market at 13.38% a year, because the Tuas and Jurong sites and the Jurong Island park hold most of the new AI-ready capacity. The sub-markets follow Singapore’s official planning regions.

West Region Leads with 47.2% Share

The West Region accounted for USD 935.13 million in 2025 and is forecast to reach USD 3.28 billion by 2035. Nxera DC Tuas (58 MW), DayOne’s 20 MW site at Jalan Buroh and the four 50 MW Jurong Island allocations all sit in the west, which takes the region to 58.6% of the market by 2035.

East Region Holds 26.8% Share

The East Region accounted for USD 530.96 million in 2025 and grows at 8.22% a year to USD 1.17 billion by 2035. DC Market Insights models its growth mainly from converting existing halls to liquid-cooled AI densities, because the announced new AI sites are in the west.

Central Region Holds 17.3% Share

The Central Region accounted for USD 342.75 million in 2025 and reaches USD 739.16 million by 2035, a CAGR of 7.99%. DC Market Insights models the Central Region around inference for banks and other enterprises in existing buildings, where power limits cap AI density.

North and North-East Regions Hold 8.7% Share

The North and North-East Regions accounted for USD 172.36 million in 2025 and grow at 9.02% a year to USD 408.78 million by 2035, mainly through enterprise and research deployments.

Forecast Scenarios: How Could the 2035 Forecast Change?

The Singapore AI Data Center Market reaches USD 5.60 billion by 2035 in the base case, with a range of USD 4.15 billion to USD 6.89 billion across the low and high scenarios.

Scenario	Assumption from 2026	2035 (USD billion)	CAGR 2025-2035
Low	Allocation rounds slow after Jurong Island; AI deployments about 25% below base; faster cost-per-MW decline	4.15	7.69%
Base	AI deployments rise to 120 MW a year; cost per MW falls 2.5% a year	5.60	10.95%
High	A further allocation round after 2030 and faster conversion of existing halls; deployments about 20% above base	6.89	13.28%

The low case is what a pause in AI capital spending, or a decision to direct new demand to neighboring countries, looks like. The high case assumes the government releases further capacity once Jurong Island fills, and that liquid cooling lets operators raise AI density in existing buildings faster than modeled.

Competitive Insights: Which AI-Ready Data Centre Providers in Singapore Offer High-Density Facilities?

• ST Telemedia Global Data Centres (STT GDC)
• Equinix
• Digital Realty
• Keppel Data Centres
• Nxera (Singtel)
• AirTrunk
• DayOne
• GDS
• Amazon Web Services (AWS)
• Google
• Microsoft
• NVIDIA
• Firmus (Sustainable Metal Cloud)

The AI-ready data center providers with dedicated high-density facilities in Singapore include STT GDC, Nxera, Equinix, Digital Realty, Keppel Data Centres and DayOne. DC Market Insights estimates that the three hyperscale cloud providers AWS, Google and Microsoft together accounted for about 38% of 2025 AI spending (DC Market Insights estimate, based on the 48.6% hyperscale and cloud share and the investment programs these companies have disclosed). STT GDC had 1.7 GW of IT load across its markets when KKR and Singtel agreed in February 2026 to buy the remaining 82% for SGD 6.6 billion. Nxera holds Singapore’s largest direct-to-chip liquid cooling deployment at DC Tuas. AirTrunk secured an SGD 2.25 billion green loan for SGP2, a 70 MW hyperscale facility. Digital Realty’s SIN10, SIN11 and SIN12 total 70 MW. NVIDIA systems underpin STT GDC’s DGX-Ready certification and NSCC’s ASPIRE 2A+, and Firmus announced immersion-cooled GPU cloud capacity inside STT GDC facilities. Companies looking for an end-to-end AI-ready data center usually combine a colocation operator for the hall and cooling with a hyperscale or GPU cloud provider for the compute.

Recent Developments

• In October 2025, JTC and EDB announced a low-carbon data center park of about 20 hectares on Jurong Island with up to 700 MW of power capacity (Source: EDB announcement).
• In December 2025, EDB and IMDA launched the second Data Centre Call for Application, offering at least 200 MW of capacity that must be at least 50% powered by green energy (Source: EDB media release).
• In February 2026, Nxera opened DC Tuas, a 58 MW AI-ready data center with Singapore’s largest direct-to-chip liquid cooling deployment and a PUE of 1.25 (Source: Singtel press release, republished by JTC).
• In April 2026, Digital Realty pledged nearly SGD 7 billion of total investment in Singapore, including more than SGD 4.3 billion for new data center developments (Source: Data Center Dynamics report).
• In August 2026, Digital Realty, Equinix, Keppel Data Centres and STT GDC were each provisionally awarded 50 MW of capacity on Jurong Island under DC-CFA2 (Source: Data Center Dynamics report).
• In September 2026, STT GDC completed its acquisition by a KKR-led consortium with Singtel (Source: STT GDC announcement).

We follow these allocations, builds and deals as they happen in our data center industry updates.

Methodology: How We Built the Singapore AI Data Center Market Model

DC Market Insights built this market bottom-up from 16 annual AI capacity cohorts (2020 to 2035), each counting new AI halls and conversions of existing halls, and priced with an all-in cost per MW that rises from USD 38.0 million in 2020 to a peak of USD 44.0 million in 2023 and falls 2.5% a year from 2026. Each cohort’s hardware is refreshed after five years at 60% of its hardware value, with hardware taken as 80% of cost per MW, which adds USD 91.20 million in 2025 and USD 1.69 billion in 2035. The total was split by 5 components, 5 data center types, 2 workloads, 3 cooling technologies, 7 end users and 4 planning regions, and every split sums to the market total. The result was checked top-down against government capacity data (more than 1.4 GW installed, at least 300 MW targeted by the Green Data Centre Roadmap, 200 MW awarded under DC-CFA2), against the disclosed investment programs of AWS, Google and Digital Realty, and against NVIDIA’s disclosure that about 2% of its fiscal 2025 revenue came from products shipped to Singapore. The analyst named on this page built the model, and the reviewer checked the arithmetic, the sources and the dates before publication.