
Generative AI Market in India (2025 – 2030)
Description
Market insights:
The Generative AI market in India focuses on AI systems that autonomously generate text, images, code, and multimedia content, transforming business processes and creative industries.
In 2024, the Generative AI market in India was valued at INR 85.34 Bn and is expected to reach INR 671.83 Bn by 2030, expanding at a compound annual growth rate (CAGR) of ~ 42.07% during the 2025 – 2030 period.Generative AI is rapidly being integrated into sectors like IT, healthcare, BFSI, and media for automation, content creation, and enhanced decision-making.
India is witnessing a surge in AI-driven startups, backed by increasing venture capital investments and government support for AI innovation.
Market drivers:
Businesses are using generative AI for ad copy, social media content, and personalized marketing campaigns, improving efficiency and engagement.
AI is transforming video editing, scriptwriting, dubbing, and music generation, enhancing content production for YouTube, OTT platforms, and movies.
Market trends:
Generative AI is driving the production of content in regional languages for media, entertainment, and e-commerce, expanding digital accessibility beyond English and Hindi.
AI-driven virtual assistants, chatbots, and recommendation engines tailor product suggestions based on user behavior, boosting conversion rates and customer retention.
The Generative AI market in India focuses on AI systems that autonomously generate text, images, code, and multimedia content, transforming business processes and creative industries.
In 2024, the Generative AI market in India was valued at INR 85.34 Bn and is expected to reach INR 671.83 Bn by 2030, expanding at a compound annual growth rate (CAGR) of ~ 42.07% during the 2025 – 2030 period.Generative AI is rapidly being integrated into sectors like IT, healthcare, BFSI, and media for automation, content creation, and enhanced decision-making.
India is witnessing a surge in AI-driven startups, backed by increasing venture capital investments and government support for AI innovation.
Market drivers:
Businesses are using generative AI for ad copy, social media content, and personalized marketing campaigns, improving efficiency and engagement.
AI is transforming video editing, scriptwriting, dubbing, and music generation, enhancing content production for YouTube, OTT platforms, and movies.
Market trends:
Generative AI is driving the production of content in regional languages for media, entertainment, and e-commerce, expanding digital accessibility beyond English and Hindi.
AI-driven virtual assistants, chatbots, and recommendation engines tailor product suggestions based on user behavior, boosting conversion rates and customer retention.
Table of Contents
45 Pages
- Chapter 1: Executive Summary
- Chapter 2: Socio-Economic Indicators
- Chapter 3: Introduction
- 3.1. Market definition and structure
- Chapter 4: Market Overview
- 4.1. Generative AI Market in India – An Overview
- 4.2. Market Size and Growth Forecast Based on Value (2023 – 2030e)
- Chapter 5: Market Influencers
- 5.1. Market drivers
- 5.2. Market challenges
- Chapter 6: Market Trends
- 6.1. Key Market Trends
- Chapter 7: Government Initiatives
- 7.1. Favorable Government Initiatives
- Chapter 8: Competitive Landscape
- 8.1. HCL Technologies Limited
- Company information
- Business description
- Products/Services
- Key people
- Financial snapshot
- Key ratios
- Key financial performance indicators
- Key business segments
- Key geographic segments
- Note: Financial data and segment-wise data is available only for public companies
- 8.2. Infosys Limited
- 8.3. Tata Consultancy Services Limited
- 8.4. Tech Mahindra Limited
- 8.5. Wipro Limited
- 8.6. Arya.ai Technologies Private Limited
- 8.7. Cognitivescale Software India Private Limited
- 8.8. Google India Private Limited
- 8.9. IBM India Private Limited
- 8.10. Microsoft Corporation (India) Private Limited
- Chapter 9: Recent Developments
- 9.1. Key Recent Developments
- Chapter 10: Appendix
- 10.1. About Netscribes
- 10.2. Research methodology
- 10.3. Disclaimer
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