Tech Explained: Here’s a simplified explanation of the latest technology update around Tech Explained: India stands second in AI adoption, accounts for 46% of APAC AI traffic: Report in Simple Termsand what it means for users..
India emerged as one of the fastest growing enterprise adopters of artificial intelligence in 2025, reaching 82.3 billion transactions—a 309.9% year-over-year increase. The data comes from a research report by Zscaler titled “ThreatLabz 2026 AI Security Report 2026.
“India’s growth aligns with continued government-backed digital transformation efforts in 2025, alongside major public and private investment in AI infrastructure and skills development. An expanding AI-enabled workforce, combined with cloud-first architectures that enable fast, scalable deployment of AI services, likely contributed to the country’s outsized growth relative to prior years,” the report stated.
India also drove nearly half of all AI/ML activity, accounting 46.2% of regional traffic, driven largely by the Technology and Communication sector (31 billion transactions).
Globally, the geographic distribution of AI/ML activity remained broadly consistent in 2025, with subtle shifts at the margins. AI is firmly established in the United States—the epicentre of enterprise AI development and deployment— and the country continues to claim the largest share of AI/ML traffic volume, but AI usage grew significantly across several international markets. Although the U.S. continued to lead in absolute usage (218.9 billion AI/ML transactions, accounting for 37.6% of global activity), AI adoption expanded faster year-over-year elsewhere.
Grammarly emerged as the most active AI/ML application in enterprise environments, accounting 38.7% of total transactions, overtaking ChatGPT in total transaction volume. ChatGPT remained a dominant general-purpose assistant, recording 14.2% of total usage, used broadly across roles for research, drafting, and analysis, making it a common touchpoint for enterprise data.
Codeium entered the top five (5%), showing how AI has become a regular part of software development work where source code and proprietary logic are routinely processed.
The report also highlighted how organisations also tightened oversight on enterprise AI in 2025. Data exposure, privacy, and compliance concerns pushed them to block 39.2% of total AI/ML transactions, reinforcing AI governance as a standard part of daily security operations.
The applications most impacted by enforcement controls were also among the most widely used AI apps in the enterprise. Grammarly comprised the single largest share of blocked activity—171.2 billion blocked transactions, which amounted to 44.2% of all blocked AI/ML transactions.
“Broad-use AI applications remained under scrutiny as well. ChatGPT and Microsoft Copilot were frequently blocked, seeing 5.7 billion and 4.1 billion transactions blocked, respectively, as access to unstructured data continues to raise the risk of sensitive enterprise information being shared unintentionally,” the report stated.
AI coding assistants, including Codeium and Tabnine, were also commonly blocked to limit exposure of proprietary code and development artifacts. Language and content transformation tools, such as QuillBot and DeepL, faced similar controls, reflecting broader efforts to limit content sharing with external models.