Explore articles, research, and analysis on Singapore's technology market — for the people who buy, build, and run it.
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Agentic AI adoption doubled to 51% among Singapore enterprises in 2026, yet only 10% have redesigned work end to end. This report maps the market, the gap and the road to 2030.
On 20 July 2026 IMDA asked every consumer-facing generative AI chatbot to publish a plain-language 'info card'. This report explains the three principles and what to disclose.
A source-checked 2026 report on the semiconductor market, AI accelerators, HBM, advanced packaging, foundry concentration, export controls and Singapore's role.
NVIDIA still holds roughly 80% of AI-accelerator revenue, but custom ASICs are growing three times faster. The architecture war, the TCO maths and the Southeast Asia build-out.
TSMC took 69.9% of 2025 foundry revenue and passed 72% in early 2026. The full ranking of manufacturers and foundries by revenue and capacity — and where the wafers actually are.
In enterprise CRM and ERP, the partner decides the outcome more than the software. This 2026 report maps the platforms, partners, costs and pitfalls in Singapore.
Gartner puts 2026 information-security spending at US$239.8bn. Verizon finds exploits open 31% of breaches and third parties 48%. Only 4% of firms rate as mature.
On 1 July 2026 Singapore opened consultation on a Bill to license data centres and major cloud. Proposed scope starts at 3 MW; penalties would reach 10% of local turnover.
A Singapore buyer's guide to the physical constraints behind AI: capacity allocation, power and cooling design, GPU deployment, connectivity, regulation and the questions that belong in an RFP.
A practical guide to Singapore's connectivity stack: international cable landings, domestic fibre, mobile and enterprise networks, satellites, resilience and the questions buyers should put into a network design.
A fact-checked map of the Singapore technology ecosystem in 2026: how startups, public policy, investment, AI infrastructure and enterprise adoption reinforce one another — and where a buyer or founder still needs to do the hard work.
GPT-5.6 turns model selection into a routing decision: Sol for frontier reasoning, Terra for balanced production, and Luna for high-volume work. The enterprise trade-off sits in price, token efficiency, tool orchestration, safety controls, and vendor dependence.
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