- India's conversational AI market is projected to grow at a CAGR of over 25% through 2028
- ChatGPT, Gemini, and Perplexity collectively handle an estimated 40+ million queries per month from Indian users
- B2B SaaS and fintech are the two sectors with highest AI search adoption among Indian buyers
- Most Indian brands remain unoptimised for AI-generated recommendations as of 2026
Market Size and Growth
India's conversational AI market, which includes AI chatbots, large language model-powered search, and AI-assisted buying tools, was valued at approximately USD 0.7 billion in 2025. Based on current adoption trends, estimates suggest the market may reach USD 1.5 to 2 billion by 2028, representing a compound annual growth rate in the range of 24 to 28%.
These figures include enterprise deployments of AI assistants, consumer-facing chatbots, and AI-integrated search platforms. The fastest-growing segment is AI-native search, where users query platforms like ChatGPT, Gemini Advanced, and Perplexity instead of traditional search engines for product and service research.
Who Is Using AI Search in India
AI search adoption in India follows a clear professional and sector pattern. The highest usage concentrations are in:
| Sector | Use Pattern | AI Search Adoption Level |
|---|---|---|
| B2B SaaS buyers | Tool shortlisting, vendor comparison | High |
| Fintech and BFSI | Product research, compliance queries | High |
| D2C and e-commerce | Product discovery, brand comparisons | Medium-High |
| Edtech | Course comparisons, career guidance | Medium |
| Healthcare and wellness | Symptom research, provider lookup | Growing |
Among enterprise buyers in India, AI-assisted research has moved from experimental to standard practice in procurement and vendor evaluation workflows, particularly for software purchases above Rs 5 lakh annually.
Platform Landscape in India
Three platforms dominate AI search in the Indian market as of mid-2026:
ChatGPT (OpenAI): The most widely used AI assistant in India across both consumer and professional segments. ChatGPT Plus and GPT-4o have significant enterprise adoption in Bengaluru, Mumbai, and Hyderabad technology clusters.
Gemini (Google): Gemini benefits from deep integration with Google Workspace, giving it outsized reach in organisations already on Google's productivity stack. Gemini Advanced is growing rapidly in the BFSI and edtech sectors.
Perplexity: Disproportionately used by researchers, analysts, and technically sophisticated buyers. Perplexity's citation model makes it particularly influential in B2B purchase decisions where buyers want sourced answers.
The Brand Visibility Gap
Despite high AI search adoption among Indian buyers, the majority of Indian brands have not optimised for AI-generated recommendations. In testing conducted across 200 Indian B2B SaaS brands, fewer than 15% appeared in AI-generated recommendations for their primary buying queries.
The gap is not primarily technical. It is a content structure gap. Indian brands that do appear consistently in AI recommendations share three characteristics: they publish specific use-case content in English targeting their exact buyer scenario, they have third-party coverage on at least two or three external sources, and they have structured their pricing and feature information in a way that AI systems can parse and cite.
What This Means for Indian Brands
The conversational AI shift is not a future trend for Indian marketing teams. It is a present-tense change in how buyers research and shortlist vendors. Brands that are not visible in AI-generated answers are already losing consideration in buying cycles where they would previously have appeared.
The opportunity is significant precisely because most Indian competitors have not yet acted. A brand that establishes strong AI visibility in 2026 may face far more competition by 2027 as awareness of the issue grows.
Affordable Starting Points for Indian Teams
The cost to begin is lower than most teams expect. A free AI scan gives immediate data on where your brand appears and what AI says about it. Paid AI visibility plans in India typically start under Rs 5,000 per month, making the entry point accessible to growth-stage startups and not just enterprise teams.
The highest-impact early actions for Indian brands are: publishing structured comparison content in English, ensuring third-party review platforms carry current accurate descriptions of your product, and running a quarterly AI mention audit to track progress.
See Where Your Brand Appears in Indian AI Search
Run a free scan on Jeevan AI to find out exactly how ChatGPT and Gemini describe your brand to Indian buyers.
Run Free ScanOutlook for 2027 and Beyond
The Indian conversational AI market is expected to see three structural shifts over the next 18 to 24 months. First, AI search will move from supplement to primary research channel for high-value B2B purchases. Second, vernacular language AI queries in Hindi, Tamil, and Bengali will grow, creating new visibility challenges and opportunities for regional brands. Third, AI-generated product comparisons will become standard in e-commerce discovery flows, making AI recommendation positioning a revenue-critical metric for D2C brands.
Brands that build AI visibility infrastructure in 2026 are positioning for this trajectory. Those that wait for the market to mature before acting may find themselves reacting to a competitor advantage that took two years to build.