Google, Temasek, Bain Project SEA Digital Economy Hits $368B in 2026

Google, Temasek, and Bain & Company published the 11th edition of the annual e-Conomy SEA report, projecting Southeast Asia’s digital economy will reach $368 billion in gross merchandise value in 2026. The analysis indicates that widespread generative AI adoption is propelling the region toward a $1 trillion valuation by 2035.

Generative AI is now an essential part of daily life for 243 million Southeast Asians, representing 58% of the working population. This technology is scaling four times faster than the rollout of mobile internet. The report states that growing consumer confidence in agentic commerce will drive a 60-fold surge in regional AI usage over the next five years.

Sector Impact Analysis

E-commerce anchors the shift, with $226 billion in gross merchandise value and an 18% year-on-year increase. Shoppers are using multimodal discovery and in-app assistants to navigate complex purchases. These personalized experiences drive 10% higher conversions and order volume uplifts as large as 75%, according to the report findings.

Online travel reached $59 billion in gross merchandise value, a 10% year-on-year increase. While traditional search engines remain the top platform for planning, generative AI has overtaken social media as the second-most used tool for organizing complex itineraries. Online media generated $44 billion in revenue, up 22% year-on-year.

Infrastructure and Policy Requirements

Mobility and food delivery achieved $40 billion in gross merchandise value, growing 15% year-on-year through predictive suggestions and smarter routing. Digital financial services recorded $1,650 billion in gross transaction value, up 16% year-on-year. The report notes that sustaining this momentum requires expanding data center infrastructure, improving energy efficiency, and establishing unified digital trade policies across borders.

What should you do?

Security professionals should monitor the rapid expansion of AI-driven transactional platforms for new attack surfaces. As agentic commerce grows, automated purchasing agents may introduce novel authentication challenges. Organizations should review their monitoring protocols for anomalous behavior in AI-mediated transactions. That suggests a need to adapt security controls to autonomous agent interactions.

Background: Generative AI

Generative AI examples include text completion, image synthesis and code generation. These systems predict the next likely token based on vast training datasets. Understanding the underlying mechanics helps you identify risks like data leakage and hallucination in your infrastructure.

Read the full guide: Generative AI Examples: Mechanisms, Risks and Control

What to do and how to stay safe: Google

• Monitor application logs for unusual patterns in AI-assisted purchasing workflows to detect potential abuse of automated agents.
• Review identity verification processes to ensure they remain effective against sophisticated AI-generated inputs or simulated user behaviors.
• Assess data privacy controls to protect consumer information used by generative AI models for personalized recommendations and routing.
• Evaluate vendor risk management practices to ensure third-party AI services comply with regional digital trade policies and security standards.

Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation

General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

What is the projected value of Southeast Asia's digital economy in 2026?

The e-Conomy SEA report projects the digital economy will reach $368 billion in gross merchandise value in 2026.

How many Southeast Asians are actively using generative AI?

Generative AI is actively used by 243 million people, which represents 58% of the working population in the region.

What infrastructure changes are needed to support AI growth?

The report states the region must prioritize expanding data center infrastructure, improving energy efficiency, and establishing unified digital trade policies.