India AI market to touch $55.3B by 2033: Report
Enterprise spending on AI in India is forecast to jump nearly ninefold by 2030, signalling a shift from pilot projects to full-scale production deployments, said Neural Arc.
The artificial intelligence (AI) market in India is projected to reach $55.3 billion by 2033 from $12.7 billion in 2025, according to a study by Neural Arc.
Enterprise spending on AI in India is forecast to jump nearly ninefold from $1.12 billion in 2024 to $9.92 billion by 2030, signalling a shift from pilot projects to full-scale production deployments, said Neural Arc, which has built an enterprise platform called Helium AI.
Helium AI’s 2026 outlook highlights five key shifts that will reshape enterprise adoption over the next year.
First, the rise of autonomous AI agents, which will evolve from isolated task automation to orchestrating multi-step workflows across departments like customer support, finance, procurement, and IT operations. Nearly half of Indian enterprises already run multiple generative-AI applications in production.
The second shift centres on multimodal intelligence, driven by enterprise demand for systems that can understand text, voice, images, video, and structured data simultaneously. This will power use cases ranging from unified customer intelligence to medical diagnostics and automated quality inspection.
Edge AI forms the third major trend. With India’s edge AI market projected to reach $3.66 billion by 2030, sectors such as manufacturing, logistics, retail, healthcare, and agriculture are expected to adopt real-time, local AI processing to reduce latency, ensure data sovereignty, and maintain continuity in low-connectivity environments.
The fourth shift is toward vertical AI, as organisations move from general-purpose models to industry-specific systems trained on domain-rich datasets, improving accuracy in BFSI, healthcare, manufacturing, and retail.
Finally, governance-first AI will become a boardroom priority as enterprises adopt transparent, auditable, and compliant AI frameworks aligned with India’s evolving regulatory landscape.
Edited by Suman Singh

