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India Generative AI in Media Entertainment Market

ID: MRFR/ICT/55697-HCR
200 Pages
Garvit Vyas
October 2025

India Generative AI in Media and Entertainment Market Research Report By Offerings (Solution, Services), By Technology (Natural Language Program, Digital Twin, Natural Language Generation, Large Language Models, Others) and By Application (Gaming, Film and Television, Advertising and Marketing, Music and Sound Production, Automatic Dubbing and Subtitling, Chatbots and Virtual Assistants, Others) - Forecast to 2035

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India Generative AI in Media Entertainment Market Summary

As per analysis, the India generative ai in media entertainment market is projected to grow from USD 19,629.28 Million in 2024 to USD 712,756.44 Million by 2035, exhibiting a compound annual growth rate (CAGR) of 38.62% during the forecast period (2025 - 2035).

Key Market Trends & Highlights

The India generative AI in media entertainment market is poised for substantial growth driven by technological advancements and evolving consumer preferences.

  • The content creation segment remains the largest, reflecting a robust demand for innovative and engaging media.
  • Video production is emerging as the fastest-growing segment, indicating a shift towards dynamic visual storytelling.
  • Streaming services dominate the market, catering to the increasing appetite for on-demand content consumption.
  • Key market drivers include advancements in AI technology and changing consumer preferences, which are reshaping the media landscape.

Market Size & Forecast

2024 Market Size 19629.28 (USD Million)
2035 Market Size 712756.44 (USD Million)
CAGR (2025 - 2035) 38.62%

Major Players

Tata Consultancy Services (IN), Wipro (IN), Infosys (IN), HCL Technologies (IN), Tech Mahindra (IN), Zebra Medical Vision (IL), NVIDIA Corporation (US), Adobe Inc. (US), OpenAI (US)

India Generative AI in Media Entertainment Market Trends

The india generative ai in media entertainment market is currently experiencing a transformative phase, driven by advancements in artificial intelligence technologies. This sector encompasses various applications, including content creation, video production, and personalized media experiences. As the demand for innovative storytelling and immersive experiences grows, the integration of generative AI tools is becoming increasingly prevalent. These tools enable creators to enhance their workflows, streamline production processes, and deliver unique content tailored to diverse audiences. Furthermore, the collaboration between technology firms and media companies appears to be fostering an environment ripe for experimentation and creativity. In addition, the regulatory landscape in India is evolving to accommodate the rapid advancements in AI technologies. Government initiatives aimed at promoting digital innovation and supporting startups in the tech space are likely to bolster the growth of The India Generative AI in Media Entertainment Market. This supportive framework may encourage investment in research and development, leading to the emergence of new applications and services. As the market continues to mature, it seems poised to redefine the boundaries of creativity and engagement in the media and entertainment sector, potentially reshaping consumer experiences in the years to come.

Enhanced Content Creation

The integration of generative AI tools is revolutionizing content creation in the india generative ai in media entertainment market. These technologies allow creators to generate scripts, music, and visual elements more efficiently, thereby reducing production time and costs. This trend indicates a shift towards more innovative storytelling methods, where AI-generated content complements human creativity.

Personalized Media Experiences

Generative AI is facilitating the development of personalized media experiences tailored to individual preferences. By analyzing user data, AI systems can create customized recommendations and content, enhancing viewer engagement. This trend suggests a move towards more interactive and user-centric media consumption, which could redefine audience relationships with content.

Collaboration Between Tech and Media

The partnership between technology firms and media companies is becoming increasingly prominent in the india generative ai in media entertainment market. These collaborations are likely to drive innovation, as tech companies provide advanced AI solutions while media firms offer industry insights. This synergy may lead to the creation of groundbreaking applications that enhance the overall media landscape.

India Generative AI in Media Entertainment Market Drivers

Increased Demand for Content

The india generative ai in media entertainment market is witnessing a surge in demand for diverse and high-quality content. With the proliferation of digital platforms, consumers are increasingly seeking unique and engaging media experiences. This trend is reflected in the growth of streaming services, which have expanded their offerings to include original content. According to recent data, the Indian OTT market is projected to reach USD 12.5 billion by 2025, indicating a robust appetite for innovative content. Generative AI technologies are poised to play a crucial role in meeting this demand by enabling rapid content creation and customization, thereby enhancing viewer engagement and satisfaction.

Advancements in AI Technology

The rapid advancements in artificial intelligence technologies are significantly influencing the india generative ai in media entertainment market. Innovations in machine learning, natural language processing, and computer vision are enabling creators to produce content that is not only visually appealing but also contextually relevant. For instance, AI-driven tools can analyze viewer preferences and generate tailored content, thereby improving audience retention. The integration of generative AI in animation and visual effects is also transforming traditional production processes, making them more efficient and cost-effective. As these technologies continue to evolve, they are likely to reshape the landscape of media entertainment in India.

Changing Consumer Preferences

Consumer preferences in India are evolving rapidly, with audiences increasingly gravitating towards personalized and interactive media experiences. The india generative ai in media entertainment market is responding to this shift by leveraging AI technologies to create content that resonates with individual viewers. For example, AI algorithms can analyze user data to recommend tailored content, enhancing viewer satisfaction and engagement. This trend is particularly evident among younger demographics, who are more likely to seek out unique and immersive experiences. As generative AI continues to refine content personalization, it is likely to play a pivotal role in shaping the future of media consumption in India.

Government Support and Initiatives

The indian government is actively promoting the adoption of artificial intelligence across various sectors, including the media entertainment industry. Initiatives such as the National AI Strategy aim to position India as a global leader in AI innovation. This supportive policy environment is fostering investment in generative AI technologies, which are essential for enhancing content creation and distribution. Furthermore, government-backed programs are encouraging collaboration between startups and established media companies, facilitating the development of innovative solutions. As a result, the india generative ai in media entertainment market is expected to benefit from increased funding and resources, driving growth and innovation.

Global Market Trends and Competition

The india generative ai in media entertainment market is not isolated from global trends and competitive dynamics. As international players increasingly enter the Indian market, local companies are compelled to innovate and adopt generative AI technologies to remain competitive. The india generative ai in media entertainment market is projected to grow significantly, with AI-driven content creation becoming a key differentiator. Indian companies are recognizing the need to enhance their offerings through AI, which can streamline production processes and improve content quality. This competitive pressure is likely to accelerate the adoption of generative AI, positioning India as a significant player in the global media entertainment landscape.

Market Segment Insights

By Application: Content Creation (Largest) vs. Video Production (Fastest-Growing)

The generative AI application segment in the Indian media and entertainment market is primarily dominated by content creation, accounting for a significant portion of market share. With the rising demand for unique and engaging content across various platforms, content creation has become a cornerstone of the industry. Video production follows closely behind, capturing a growing share as streaming services and online platforms increasingly utilize AI-generated content to enhance viewer experiences. The growth trends in this segment show a rapid expansion in video production, driven by innovations in technology that streamline the production process and reduce costs. The rise of online streaming platforms and the increasing importance of visual content in marketing and advertising further contribute to this upward trajectory, securing video production's position as the fastest-growing application within generative AI in media entertainment.

Content Creation (Dominant) vs. Gaming (Emerging)

In the Indian generative AI landscape, content creation is established as the dominant application, representing a substantial segment value due to its pivotal role in generating high-quality, unique content for various media. This segment addresses an endless demand for articles, scripts, and multimedia content across platforms like social media, advertising, and publications. Conversely, gaming stands as an emerging application, leveraging generative AI to create immersive experiences, dynamic environments, and personalized gameplay. As the gaming industry in India continues to grow, the application of AI in developing complex narratives and characters is gaining momentum, indicating a shift towards technology that enhances player engagement and interactivity. Both segments reflect the diverse opportunities AI presents in transforming content delivery and engagement in the media entertainment industry.

By End Use: Streaming Services (Largest) vs. Film Industry (Fastest-Growing)

The Indian generative AI in media entertainment market showcases a diverse distribution across various end-use segments. Among these, streaming services hold the largest share, significantly altering how content is consumed and created. The film industry, while traditionally dominant, has experienced challenges amidst evolving consumer preferences, leading to a shift towards digital platforms. Television broadcasting and advertising showcase moderate performance, while social media integrates AI technology, enhancing user engagement.

Streaming Services: Dominant vs. Film Industry: Emerging

Streaming services represent the dominant force in the Indian generative AI media entertainment sector, characterized by their ability to leverage AI for personalized content recommendations and enhanced viewer experiences. This segment thrives on consumer demand for on-demand and original content, influencing production strategies across the industry. Conversely, the film industry is emerging as a rapidly growing segment, adapting to AI technologies to streamline production processes and enhance storytelling. The integration of generative AI enables filmmakers to innovate and explore new visual aesthetics, making it a critical area for growth as audiences increasingly seek novel cinematic experiences.

By Technology: Natural Language Processing (Largest) vs. Computer Vision (Fastest-Growing)

In the India generative AI in media entertainment market, Natural Language Processing (NLP) holds the largest share, driven by its extensive applications in automated content generation, sentiment analysis, and text summarization. Following closely behind is Computer Vision, which is rapidly capturing market interest due to its potential in enhancing video editing, image recognition, and quality improvement. Both technologies are pivotal in shaping how content is created and consumed in this sector. Growth trends indicate a vigorous push toward innovation in these technologies, with AI-driven tools increasingly being adopted for real-time content creation and audience engagement. The rise of interactive media formats and demand for personalized content are substantial growth drivers. As media companies leverage these technologies, competition is expected to intensify, further fueling advancements in the generative AI landscape for entertainment purposes.

Natural Language Processing (Dominant) vs. Deep Learning (Emerging)

Natural Language Processing (NLP) has established itself as the dominant technology within the India generative AI in media entertainment market, thanks to its critical role in enabling machines to understand and generate human-like text. Its capabilities enhance user interactions, allowing for advanced chatbots and personalized content recommendations. In contrast, Deep Learning, while an emerging sector, is gaining traction through its application in creating realistic simulations and enhancing algorithms for better performance. The use of neural networks in Deep Learning allows for more complex and accurate predictions, which is essential for innovative content development. As both technologies evolve, their collaboration is likely to result in groundbreaking applications for media and entertainment.

By User Type: Professional Creators (Largest) vs. Content Platforms (Fastest-Growing)

In the India generative AI in media entertainment market, user types are diversely segmented into Professional Creators, Amateur Creators, Enterprises, Educational Institutions, and Content Platforms. Among these, Professional Creators command the largest market share, benefiting from advanced tools and resources that allow for innovative content generation. On the other hand, Content Platforms are rapidly gaining traction, capitalizing on the explosive demand for user-generated content and seamless distribution. The growth trend indicates a significant shift towards empowering both Professional and Amateur Creators, but the rise of Content Platforms signifies an emerging sector. As businesses and educational institutions increasingly adopt generative AI tools, the content generation landscape is becoming more accessible, pointing to robust growth in user engagement and content proliferation across platforms.

Professional Creators (Dominant) vs. Content Platforms (Emerging)

Professional Creators are at the forefront of the India generative AI in media entertainment market, leveraging sophisticated technologies to craft high-quality, innovative content that resonates with audiences. They typically include filmmakers, graphic designers, and artists who utilize generative AI for enhanced creativity and efficiency. In contrast, Content Platforms are emerging rapidly, driven by a surge in user participation and the democratization of content creation. These platforms, often relying on algorithms that facilitate easy access to generative tools, are drawing in users looking to create and share content with minimal barriers. As a result, while Professional Creators symbolize experience and creativity, Content Platforms represent a significant shift in how content is produced and consumed in today's digital landscape.

By Deployment Model: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the India generative AI in media entertainment market, the deployment model segment showcases a varied landscape characterized mainly by cloud-based, on-premises, and hybrid approaches. Currently, cloud-based solutions hold the largest share due to their scalability, flexibility, and ease of access, appealing to a broad spectrum of media and entertainment businesses seeking to leverage AI without significant upfront investment. On-premises models, while smaller in share, are rapidly gaining traction, particularly among organizations that prioritize data security and control over their AI applications. The growth trends within this segment are primarily driven by the increasing demand for customized AI solutions that enhance content creation, personalization, and audience engagement. As more companies recognize the competitive advantage offered by AI-driven tools, the on-premises deployment model is emerging swiftly, catering to firms needing strict compliance with data sovereignty. Meanwhile, hybrid models are also attracting attention, harmonizing the benefits of both cloud and on-premises deployments, thus supporting versatile media operations.

Cloud-Based (Dominant) vs. On-Premises (Emerging)

Cloud-based deployment is currently the dominant model in the India generative AI in media entertainment market, providing businesses with the agility and resources necessary to process vast amounts of data efficiently. Organizations can quickly scale their AI capabilities based on demand, integrating advanced features such as machine learning and deep learning with relative ease. In contrast, the on-premises model, while traditionally favored for its robust security and control, is emerging as companies invest in tailored infrastructure designed for data-intensive operations. This emerging model is appealing to organizations that are cautious about sharing sensitive data and require stringent compliance with regulatory standards. As companies strive for increased personalization in consumer engagement, both deployment models are positioned to coexist, each addressing different strategic needs within the industry.

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Key Players and Competitive Insights

The generative AI landscape within the media entertainment sector in India is characterized by a dynamic interplay of innovation and strategic positioning among key players. The market is currently driven by advancements in AI technologies, increasing demand for personalized content, and the growing integration of AI in creative processes. Major companies such as Tata Consultancy Services (India), Wipro (India), and NVIDIA Corporation (US) are at the forefront, each adopting distinct strategies that collectively shape the competitive environment. Tata Consultancy Services (India) focuses on leveraging its extensive IT services to enhance AI capabilities, while Wipro (India) emphasizes partnerships with content creators to drive AI adoption in media production. NVIDIA Corporation (US), known for its cutting-edge GPU technology, is actively promoting AI-driven graphics solutions, thereby reinforcing its leadership in the sector.

The business tactics employed by these companies reflect a moderately fragmented market structure, where localized strategies and supply chain optimization play crucial roles. Companies are increasingly localizing their offerings to cater to regional preferences, which enhances their competitive edge. This localized approach, combined with strategic partnerships, allows these firms to navigate the complexities of the Indian market effectively, thereby influencing the overall competitive dynamics.

In December 2025, Tata Consultancy Services (India) announced a collaboration with a leading Indian film studio to develop AI-driven tools for script analysis and content creation. This strategic move is significant as it not only showcases TCS's commitment to innovation but also positions it as a key player in transforming traditional media practices through technology. The partnership is expected to streamline the creative process, enabling faster turnaround times and enhanced content quality.

In November 2025, Wipro (India) launched an AI-powered platform aimed at optimizing media workflows for broadcasters. This initiative is particularly noteworthy as it addresses the growing need for efficiency in content delivery and production. By automating various aspects of media workflows, Wipro is likely to enhance operational efficiency for its clients, thereby solidifying its position in the competitive landscape.

In January 2026, NVIDIA Corporation (US) unveiled a new suite of AI tools designed specifically for the Indian gaming industry. This launch is pivotal as it aligns with the burgeoning gaming market in India, which is increasingly adopting AI technologies for immersive experiences. By catering to this niche, NVIDIA not only expands its market reach but also reinforces its reputation as a leader in AI-driven solutions.

As of January 2026, the competitive trends in the generative AI space are heavily influenced by digitalization, sustainability, and the integration of AI across various media formats. Strategic alliances are becoming increasingly vital, as companies recognize the need to collaborate to enhance their technological capabilities. The competitive differentiation is likely to evolve from traditional price-based competition to a focus on innovation, technological advancement, and supply chain reliability. This shift indicates a promising future where companies that prioritize these elements will likely emerge as leaders in the generative AI landscape.

Key Companies in the India Generative AI in Media Entertainment Market include

Industry Developments

Recent developments in the India Generative AI in Media and Entertainment Market have been notable, with several companies making strategic moves. Meta has invested in enhancing its AI capabilities to personalize content recommendations, while Adobe has launched new tools aimed at content creation across various media platforms. Google is focusing on integrating AI into its video services, catering to both creators and consumers. In the last couple of years, notable advancements include further adoption of AI technologies in animation and film editing, driven by players like DreamWorks and Sony, which have developed proprietary tools for content generation.

Moreover, in September 2023, Microsoft acquired a start-up specializing in generative AI for media applications, strengthening its portfolio in the gaming and entertainment sectors. The market is witnessing growth as it is projected to increase significantly owing to rising investment from firms such as Amazon and NVIDIA, which are enhancing their AI frameworks. Current collaborations between technology firms and media houses are fostering innovation in content delivery and audience engagement, reflecting a dynamic landscape where generative AI is reshaping the entertainment industry in India.

Future Outlook

India Generative AI in Media Entertainment Market Future Outlook

The India generative AI in media entertainment market is poised for robust growth at 38.62% CAGR from 2025 to 2035, driven by technological advancements, increased content demand, and enhanced user engagement.

New opportunities lie in:

  • Development of AI-driven content personalization platforms
  • Integration of generative AI in virtual production workflows
  • Creation of AI-based tools for real-time audience analytics

By 2035, the market is expected to be a leader in innovative media solutions.

Market Segmentation

India Generative AI in Media Entertainment Market End Use Outlook

  • Film Industry
  • Television Broadcasting
  • Advertising
  • Streaming Services
  • Social Media

India Generative AI in Media Entertainment Market User Type Outlook

  • Professional Creators
  • Amateur Creators
  • Enterprises
  • Educational Institutions
  • Content Platforms

India Generative AI in Media Entertainment Market Technology Outlook

  • Natural Language Processing
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Generative Adversarial Networks

India Generative AI in Media Entertainment Market Application Outlook

  • Content Creation
  • Video Production
  • Gaming
  • Music Generation
  • Virtual Reality

India Generative AI in Media Entertainment Market Deployment Model Outlook

  • Cloud-Based
  • On-Premises
  • Hybrid

Report Scope

MARKET SIZE 202419629.28(USD Million)
MARKET SIZE 202528113.11(USD Million)
MARKET SIZE 2035712756.44(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)38.62% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Million
Key Companies ProfiledTata Consultancy Services (IN), Wipro (IN), Infosys (IN), HCL Technologies (IN), Tech Mahindra (IN), Zebra Medical Vision (IL), NVIDIA Corporation (US), Adobe Inc. (US), OpenAI (US)
Segments CoveredApplication, End Use, Technology, User Type, Deployment Model
Key Market OpportunitiesIntegration of generative AI enhances content creation efficiency in the india generative ai in media entertainment market.
Key Market DynamicsRapid advancements in generative AI technology are reshaping content creation and distribution in India's media entertainment sector.
Countries CoveredIndia
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FAQs

What is the current valuation of the India generative AI in media entertainment market?

<p>The market valuation was 19629.28 USD Million in 2024.</p>

What is the projected market size for the India generative AI in media entertainment market by 2035?

<p>The projected valuation for 2035 is 712756.44 USD Million.</p>

What is the expected CAGR for the India generative AI in media entertainment market during the forecast period?

<p>The expected CAGR during the forecast period 2025 - 2035 is 38.62%.</p>

Which segment had the highest valuation in the India generative AI market in 2024?

<p>The Streaming Services segment had the highest valuation at 6000.0 USD Million.</p>

What are the key technologies driving the India generative AI in media entertainment market?

<p>Key technologies include Natural Language Processing, Machine Learning, and Deep Learning.</p>

Who are the major players in the India generative AI in media entertainment market?

<p>Major players include Tata Consultancy Services, Wipro, Infosys, and NVIDIA Corporation.</p>

What is the valuation of the Advertising segment in the India generative AI market?

<p>The Advertising segment was valued at 4000.0 USD Million in 2024.</p>

How does the valuation of the Film Industry segment compare to the Television Broadcasting segment?

<p>The Film Industry segment was valued at 3000.0 USD Million, whereas the Television Broadcasting segment was valued at 2500.0 USD Million.</p>

What is the valuation of the Cloud-Based deployment model in the India generative AI market?

<p>The Cloud-Based deployment model was valued at 8000.0 USD Million in 2024.</p>

What user type is expected to drive growth in the India generative AI in media entertainment market?

<p>Enterprises are expected to drive growth, with a valuation of 5888.79 USD Million in 2024.</p>

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