With martech, fintech and platform innovation driving scale, Southeast Asia’s digital economy has crossed a critical inflexion point. It was projected that the region’s digital economy would top USD 300 billion in gross merchandise value (GMV) by 2025, with digital revenues growing in tandem.
That is a decade after the first edition of the study put ASEAN’s digital potential on the map. Clearly, this signals a structural shift where infrastructure investment and AI adoption are coming together to reshape what competitiveness looks like across different economies.
We explore how Southeast Asia is positioning itself for global data demand
What is driving the surge?
There is no doubt that several sectors are carrying the torch forward. For example, food delivery and e-commerce still remain the most visible engines. For online travel, digital financial services and transport platforms continue to expand both their user bases and monetisation models.
Consumer behaviour also shifted rapidly during the pandemic. As such, more subscriptions and transactions and even more digital-first habits are now being amplified by B2B digitalisation and enterprise software adoption. The combined effect is higher average transaction values and more frequent monetised interactions across ecosystems, which helps explain the step change in GMV and revenue.
In addition to that, cloud infrastructure and AI are also driving the surge. The reason is that regional demand for compute and data centre capacity has accelerated as incumbents and startups race to deploy domain-specific and generative models.
We can back this up with recent industry reporting that shows strong flows of capital into rapid expansion plans and AI startups for data centre capacity, especially in Malaysia and Singapore, as local operators and hyperscalers scale to meet demand. This investment is now foundational as compute availability determines which firms can run advanced models at competitive cost.
Finally, fintech innovations and payment rails are accelerating the flow from discovery to payment. For example, merchant tools, embedded finance and digital wallets are providing smoother conversion paths from discovery to payment, especially for SMEs that were historically underserved. So, when different sectors, including logistics, payments and marketplaces, work together, the digital economy grows organically.
Uneven geography matters
When we’re talking about the USD300 billion number, it also hides important variation across the ten ASEAN economies. Singapore remains the highest per capita contributor and the largest draw for AI investment. However, Vietnam and the Philippines are young tech markets that are showing the fastest user growth.
On top of that, Indonesia also still contributes the largest absolute share of users and transactions. This is because of its population scale and breadth of domestic unicorns. Meanwhile, the inclusion of Myanmar, Laos, Cambodia and Brunei nudges aggregate figures upward while highlighting the uneven maturity across the region.
Product design and policy really make a difference. For example, markets with weaker digital ID systems or more fragmented logistics need different plays than compact and high-income digital hubs. So, this is where localisation matters in the overall strategies.
Talent, regulation and monetisation: The three bottlenecks
Reaching the USD 300 billion milestone is a significant achievement. However, sustaining growth through to 2030 will depend on solving three structural challenges, starting with talent. The demand for cloud, AI, data and cybersecurity skills is already outpacing the available workforce. Unless regional upskilling and reskilling initiatives scale rapidly, many firms will be forced to outsource core digital capabilities offshore rather than building them locally.
The second bottleneck is regulation. ASEAN is moving toward a more harmonised digital regulatory framework. As the ASEAN Digital Economy Framework Agreement is still a work in progress, the national discrepancies in digital taxation, licensing and data rules must create compliance friction for cross-border platforms.
Lastly, monetisation remains a critical pressure point. As the economy scales, acquisition costs and ARPU pressures will increase. For example, startups that grew on low monetisation now must demonstrate sustainable unit economics.
Investors are already reallocating capital toward B2B platforms and AI infrastructure that show clearer revenue paths. This means that consumer businesses will need to show higher retention, stronger lifetime value and scalable subscription playbooks.
What’s next for the region?
The next five years will be about industrialising AI reality across sectors and borders, now that 2025 is the “AI reality” moment for ASEAN. So, policymakers must focus on incentives for local data centre investment, clear cross-border data agreements and interoperable digital ID. Corporations need to prioritise internal digital transformation programs that move just beyond pilots to platform rollouts. Finally, startups should tighten their unit economics, consider B2B enterprise channels and design products that are composable across markets.
Southeast Asia has finally moved from “digital decade” to an AI-augmented growth phase. Reaching the next plateau will not be an easy task. However, the region is well placed to evolve from a fast-growing market to a global hub of applied digital innovation.