Artificial intelligence (AI) In Media Market – Trends Forecast Till 2031

Market Snapshot

Market Overview

The global Artificial intelligence (AI) In Media Market size was estimated at USD 8,290 million in 2024 and is projected to reach USD 55,741.16 million in 2031 at a CAGR of 31.29 % during the forecast period 2025-2031.

The artificial intelligence (AI) in media market refers to the integration of AI technologies into various aspects of media production, distribution, and consumption. AI enables automation, personalization, and data-driven decision-making in areas like content creation, audience targeting, media optimization, and advertising. It involves using machine learning algorithms, natural language processing, and computer vision to enhance the efficiency and creativity of media processes. From AI-generated content to smart recommendation systems, AI is increasingly shaping how media is produced and consumed.

The scope of AI in the media market is vast, touching a wide range of industries such as broadcasting, film, music, advertising, journalism, and gaming. In broadcasting, AI is used to automate content curation and optimize viewer experience through personalized recommendations. In film and television, AI is streamlining editing and special effects creation. AI-powered chatbots and virtual assistants are reshaping customer service in the media sector, while targeted advertising solutions help businesses reach specific audiences more effectively. The applications of AI extend from content creation to distribution and audience engagement, creating new possibilities for innovation across the industry.

Key trends driving the adoption of AI in media include advancements in machine learning algorithms, the rise of big data, and the growing demand for personalized experiences. AI's ability to analyze vast amounts of data and extract valuable insights allows media companies to optimize content and improve targeting precision. Moreover, AI enables the automation of repetitive tasks, reducing costs and increasing efficiency. The increasing popularity of streaming services and digital media consumption further accelerates the integration of AI to create dynamic content and customized user experiences, which is in high demand from modern audiences.

Several factors are driving the growth of AI in the media market, including the need for better content management, the increasing volume of data generated by digital platforms, and the desire to enhance user engagement. AI helps media companies manage large amounts of content, automate workflows, and streamline production processes. The evolving nature of consumer behavior, especially the demand for on-demand and personalized content, has led to an increased reliance on AI-powered solutions. As AI technologies continue to evolve, they are expected to become even more integral in transforming the media landscape, offering new opportunities for content creators and businesses alike.

Delvens Industry Expert's Standpoint

Experts in the Artificial intelligence (AI) In Media Market highlight several key trends driving growth and innovation. The artificial intelligence (AI) in media market involves integrating AI technologies to enhance content creation, distribution, and consumption across various media sectors like broadcasting, film, music, journalism, and advertising. AI enables automation, personalization, and data-driven insights, improving content curation, audience targeting, and optimization. Trends such as advancements in machine learning, the rise of big data, and the growing demand for personalized experiences are driving AI adoption. The increasing volume of digital content and changing consumer behaviour further fuel AI's role in streamlining production and improving user engagement, offering new opportunities for media companies to innovate and meet audience expectations.

Market Portfolio

Key Findings

• By software type, content generation will dominate the market during the forecast period. Content generation is rapidly becoming a dominant force in the AI market within the media industry, driven by its ability to enhance both creativity and efficiency. Generative AI technologies allow for the rapid creation of high-quality content, significantly reducing production time and costs. By automating repetitive tasks, filmmakers and content creators can focus more on the creative aspects of their work, fostering innovation and experimentation. This is particularly valuable as consumer expectations rise, with an increasing demand for fresh, engaging content. Furthermore, generative AI enables the creation of hyper-personalized content tailored to individual viewer preferences, which boosts audience engagement and retention. As media companies work to stay competitive in a crowded landscape, adopting generative AI is becoming essential for addressing diverse audience needs. The technology not only simplifies content creation but also opens new possibilities for storytelling, allowing creators to explore unique narratives and interactive experiences. As generative AI continues to advance, its integration into media processes is expected to transform how content is produced and consumed, helping companies adapt to the evolving demands of audiences while maintaining high standards of quality and creativity.

• By media end users, social media platforms will experience the highest CAGR during the forecast period. Social media platforms are set to witness substantial growth in the AI-driven media market, driven by their increasing use of personalized user experiences and advanced data analytics. These platforms leverage AI to process vast amounts of user-generated content, enabling them to offer personalized recommendations that enhance user engagement. By predicting user behavior and preferences, AI also enables more effective advertising strategies, making platforms like Facebook and Instagram crucial for brands targeting specific audiences. Additionally, AI plays a critical role in content moderation and sentiment analysis, ensuring a safer and more engaging environment for users. As social media continues to evolve, integrating AI technologies is essential for maintaining user interest and driving growth in an increasingly competitive market. The ability of these platforms to adapt in real-time to user interactions ensures that content remains relevant and personalized, fostering stronger connections between brands and their audiences. This transformation not only enhances user satisfaction but also establishes social media as a dynamic space where businesses can thrive by utilizing AI to meet the constantly changing demands of consumers. Ultimately, the strategic application of AI will be a key factor in shaping the future of social media engagement.

• By entertainment application, predicting viewer preferences will lead the market during the forecast period. Predicting viewer preferences is becoming a crucial focus in the AI market within the media industry, significantly enhancing content personalization and user engagement. By utilizing advanced algorithms, companies can analyze large datasets, including viewing history and demographic information, to offer tailored recommendations that resonate with individual users. This level of personalization not only boosts user satisfaction but also increases retention rates, as audiences are more likely to engage with content aligned with their interests. Moreover, predictive analytics allows studios to create content that meets audience demands even before they are explicitly voiced. As competition intensifies among streaming platforms, the ability to accurately predict and cater to viewer preferences is essential for maintaining relevance and driving growth. This capability enables media companies to refine their content strategies, ensuring they deliver compelling narratives that captivate their audiences. As AI continues to evolve, its role in shaping viewer experiences will become increasingly vital, enabling a more dynamic and responsive media ecosystem that prioritizes user engagement and satisfaction. Ultimately, the integration of predictive AI in content delivery will redefine how media companies interact with their audiences, fostering loyalty and enhancing overall viewing experiences.

• The market is also divided into various regions such as North America, Europe, Asia-Pacific, South America, and Middle East and Africa. North America region is projected to hold the largest market share. Factors such as Enhanced content creation and automation, improved audience targeting and personalization, increased demand for video and image recognition, advancements in natural language processing (NLP), growing adoption of AI for content recommendation systems, automation of media workflows and production processes, rising use of AI for data analysis and insights, AI-driven advertising and marketing strategies, increased demand for virtual assistants in media platforms, innovation in AI-powered editing and post-production tools, integration of AI in gaming and interactive media, AI’s role in enhancing customer experience and engagement have triggered the Artificial intelligence (AI) In Media Market in the region.

Regional Analysis

North America to Dominate the Market

• North America leads the global AI in media and entertainment market, holding the largest share at 33.6%. This dominance is driven by significant investments in AI research and development, alongside the region’s strong technology infrastructure that supports seamless AI adoption in media production and distribution. Key companies in North America are pioneering AI innovations for content creation, targeted advertising, and audience analytics. Collaborative efforts between media giants and AI startups are fostering the development of advanced applications for streaming and gaming platforms. Additionally, the widespread presence of cloud service providers further supports scalable AI integration across the industry.

• The U.S. plays a vital role in North America's leadership in the AI-driven media and entertainment market. Hollywood studios and tech companies are increasingly leveraging AI to enhance film production, special effects, and scriptwriting. AI adoption is also expanding in live sports broadcasting, where real-time analytics and interactive viewer experiences are becoming more common. Furthermore, AI-powered streaming platforms are revolutionizing content delivery and personalization in the U.S.

• Europe is emerging as a key player in the AI in media and entertainment sector, with innovation hubs in the UK, Germany, and France. European broadcasters are adopting AI to optimize multilingual content production and translation for diverse audiences. AI applications in media archiving and digital preservation are helping to address the continent's cultural heritage needs. Additionally, the gaming industry in Europe is harnessing AI to develop adaptive gameplay and enhance user engagement.

• Asia Pacific is experiencing rapid growth in the AI-driven media and entertainment market, fueled by a growing digital consumer base. Countries like China, India, and South Korea are using AI to personalize content at scale and enhance audience analytics. AI-powered video editing and special effects are gaining popularity in regional film industries, including Bollywood and K-dramas. The use of AI in mobile gaming and esports is also spurring innovation and market growth across the region.

Competitive Landscape

• Google
• Microsoft
• IBM
• Meta
• OpenAI
• Baidu
• AWS
• Adobe
• Sprinklr
• C3 AI
• Hootsuite
• Veritone
• Taboola
• Sprout Social
• SymphonyAI

Recent Developments

• In December 2024, OpenAI teamed up with Future, a prominent digital media company, to produce specialized content using AI technology. The partnership aims to enhance content creation across various platforms, leveraging OpenAI's advanced language models to generate engaging articles and resources. Future will incorporate these AI capabilities into its brand portfolio, boosting both creativity and efficiency in content production. This collaboration highlights the growing trend of AI adoption in the media and publishing sectors for innovative storytelling and audience engagement.

• In October 2024, Meta entered a multi-year partnership with Reuters to revolutionize AI-driven news delivery. This collaboration will empower Meta's AI chatbot to provide real-time updates on current events, using Reuters' trusted journalism as its source. U.S. users will receive accurate news responses, complete with citations and links to full Reuters articles. The partnership enhances the chatbot's functionality, expanding its capabilities from creative tasks to offering reliable information on current affairs, thereby improving user experience and boosting credibility in news consumption.

• In April 2024, WPP and Google Cloud announced a ground-breaking partnership aimed at transforming the advertising industry with advanced AI technologies. This collaboration will use Google Cloud's Gemini AI model to optimize creative processes, enabling WPP to produce high-quality content more efficiently. The focus is on using AI for personalized marketing strategies, improving audience engagement, and streamlining workflows. By combining data-driven insights with innovative creative solutions, WPP aims to deliver impactful campaigns that connect with consumers and generate measurable results for clients across industries.

• In March 2023, Microsoft entered into a 10-year partnership with Boosteroid, the largest independent cloud gaming provider, to bring Xbox PC games and Activision Blizzard titles, including Call of Duty, to Boosteroid's platform. This deal aims to expand gaming access to over 150 million additional players worldwide. Boosteroid, which has a significant software development presence in Ukraine, will also collaborate with Microsoft on initiatives supporting the local gaming community amidst ongoing challenges.

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Report Scope