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AI/ML in Media and Entertainment Market Analysis

ID: MRFR//10671-HCR | 215 Pages | Author: Aarti Dhapte| October 2024

The movement relates to the AI/ML in Media and Entertainment market turning its attention towards AI applications within localization and translation of content. Translations are made easier by these machine learning systems since they study linguistic patterns and cultural subtexts so that it leads to accurate translations that will be relevant to particular global audiences. This way, internationalizing media contents becomes possible hence making them available for diverse viewers across different parts of the globe.

Additionally, there is a growing trend toward AI-powered monetization and advertising in the area of AI/ML in Media & Entertainment. The Machine Learning algorithms used by most media firms conduct analysis on user behaviours; preferences demographic factors among others so as to avail targeted ads. This will enhance advertising campaigns while improving ad relevance for users thus maximizing creators’ revenues from their own content and platforms.

To address copyright infringements and digital piracy challenges; Applied AI/ML in Media & Entertainment has seen a rise in adoption of such technologies for protection of contents and anti-piracy solutions Consequently, these software depend on machine learning which scans online platforms for unauthorised dissemination of copyrighted works over the internet. Thus, this is a major trend because it helps secure intellectual property rights thereby avoiding loss of revenue generation channels with regards to those developing particular forms.

AI/ML in Media and Entertainment is a sector that is dynamic and transformative. This is a sector that can be influenced by numerous varying variables which, together, shape its growth and impact towards the media as well as entertainment landscape. Major players in this market are recognizing the potential of AI and ML to change the way content is created, distributed and audience engaged. Personalized content recommendations, production efficiency, data-driven decision-making — these are just some of the issues facing media and entertainment industry where AI and ML technology comes into play for developing innovative solutions to address ever-changing consumer demands by content creators/broadcasters/streaming platforms.

The corner stone of AI/ML in Media and Entertainment Market is technological innovation. Progresses in AI algorithms, ML models, natural language processing have culminated into smart solutions capable of analyzing vast amounts of media content or audience data. Examples encompass an AI-driven recommender system for contents; predictive analytics on audience behavior; automated ways of generating contents including deep learning applications for visual effects among others which can empower media companies’ insights from their data or automate their operations.

The condition of global economy significantly impacts the state of affairs within the AI/ML in Media and Entertainment Market. During economic expansion there tends to be more financing available for technological advancement thus encouraging development of innovative solutions based on AI/ML utilized in media industry. However, when there are changes in economic cycles including economic downturns with long spells businesses become more cautious about investment speed hence slowing down investments made towards AI/ML for their enterprises within this field.

One crucial factor for the market regulation dynamics coupled with privacy concerns is how it affects its functioning particularly when it comes to AI/ML in Media and Entertainment. There are regulatory frameworks that govern use of data privacy, ethical considerations and responsible AI use that come into play as AI and ML technologies become an essential part of content recommendation as well as audience targeting. Consequently, abiding by the regulations, showing responsibility and ethicality in terms of using AI become significant for such firms which develop and deploy artificial intelligence / machine learning solutions in media & entertainment business.

Covered Aspects:

Report Attribute/Metric Details
Segment Outlook Solutions, Method, End User, Material, Vehicle Category, Vehicle Type, End Use

AI/ML in Media and Entertainment Market Overview


AI/ML in Media and Entertainment Market Size was valued at USD 13.30 billion in 2022. The AI/ML in Media and Entertainment Market industry is projected to grow from USD 16.40 billion in 2023 to USD 198.42 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 31.9% during the forecast period (2023 - 2032).


The rise of artificial intelligence (AI) in the worldwide media and entertainment sector is being fueled by its use in games, fake story recognition, plagiarism detection, production planning and management, personalization, sales and marketing, and talent scouting, among other applications. The market is primarily driven by the growing acceptance of virtual creation in the media and entertainment sectors, as well as the technology's ability to create real-time virtual worlds and high-definition images. A growing number of people are using streaming services because they provide a huge selection of content that can be accessed whenever they want. By recommending content to consumers and creating custom playlists, AI/ML can be utilized to personalize the streaming experience.


FIGURE 1: AI/ML IN MEDIA AND ENTERTAINMENT MARKET SIZE 2019-2032 (USD BILLION)


AI/ML in Media and Entertainment Market Overview


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


AI/ML in Media and Entertainment Market Trends


Increasing demand for analytics and ML


Unprecedented disruption is currently occurring in the media and entertainment sector. The fast adoption of connected devices, customers' raised expectations, continued competition from online video streaming providers, and social media are just a few of the strong forces that are transforming the media and entertainment sector. By using machine learning algorithms and natural language processing to make sense of enormous amounts of unstructured data, of which more than 80% are unstructured, the incorporation of artificial intelligence takes analytics to a new level. They can help companies make use of fundamentals like dialogue skills, image recognition, sentiment analysis, personality insights, and tone analysis to create competitive advantages.


AI/ML in Media and Entertainment Market - Segment Insights


AI/ML in Media and Entertainment Market - Solutions


The AI/ML in Media and Entertainment Market, in this report, has been segmented based on Solutions into hardware/equipment, services.


The segment- Services holds the largest share of the total market share while. The increasing use of computer-generated visuals and visual effects in commercials and films is predicted to favorably impact market growth. In addition, as AI-based technologies continue to grow, more engaging material can be developed with the addition of sophisticated visual effect frameworks. Due to the dearth of skilled people in virtual production and VFX technology, film studios or moviemakers frequently use certified agencies and their services to integrate VFX in their video productions. As a result, the service sector is predicted to grow at the fastest rate.


FIGURE 2: AI/ML IN MEDIA AND ENTERTAINMENT MARKET, BYSOLUTIONS, 2022 VS 2032 (USD BILLION)


AI/ML IN MEDIA AND ENTERTAINMENT MARKET, BYSOLUTIONS, 2022 VS 2032


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


AI/ML in Media and Entertainment Market - Application Insights


The AI/ML in Media and Entertainment Market, in this report, has been segmented on the basis of application into gaming, fake story detection, plagiarism detection, personalization, production planning & management, sales & marketing, talent identification, content capture, and others.


Content capture holds the largest share of the total share. AI provides a platform for automating operations like script analysis, storyboarding, creating shot lists, scheduling, and budget management, which is the main driver of the expansion. Additionally, AI-based software can arrange and synchronize recorded footage automatically. With more development, AI will be able to produce material on its own. Predictive analytics can expedite marketing tasks by using AI. AI-powered marketing software assists in developing promotional strategies, addressing audience objectives, and developing efficient customer solutions. The introduction of cutting-edge technologies, including AI, has significantly improved the computer-generated images used in virtual production technology. It is now practical to design and visualize all complex situations in three dimensions. Additionally, AI helps with pre-production, hastening the production of videos. Large data sets collected from numerous platforms can be used by artificial intelligence to build views about the interest in and acceptance of suggested content.


AI/ML in Media and Entertainment Market - End User Insights


The AI/ML in Media and Entertainment market in this report has been segmented on the basis of End User into film and television, music, gaming, sports, media agencies, and others.


The film and television segment holds the largest share of the total market share.


The media and entertainment sector, particularly the film and television industries, is undergoing a rapid transformation thanks to artificial intelligence (AI) and machine learning (ML). AI is being utilized to automate processes, increase effectiveness, and develop fresh, cutting-edge goods and services. AI's machine learning (ML) division enables computers to learn without explicit programming. AI can create scripts, conversation, and character development. Time and money can be saved, and more realistic and interesting stories can be produced as a result.


AI/ML in Media and Entertainment Market - Regional Insights


Based on Region, the global AI/ML in Media and Entertainment is segmented into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. Further, the major countries studied in the market report are the U.S., Canada, Germany, UK, Italy, Spain, China, Japan, India, Australia, UAE, and Brazil.


The North America AI/ML in Media and Entertainment market is a growing region. The emergence was mostly credited to the significant investments made by businesses in R&D for developing AI-based virtual production software solutions. One of the most important trends in the area is the use of AI for voice and speech recognition. For instance, the AI startup Globalme Localization, Inc., with U.S. headquarters, provided the dialect and accent audio collection to Sonos Inc. To incorporate intelligent home assistants with its wireless speakers, Sonos Inc. gathered accents and speech information from three different countries. Through this integration, the company was able to optimize its voice recognition engines, improving the voice experience.


The Asia Pacific AI/ML in the Media and Entertainment market is having highest growth rate. Everyone may now create, publish, and distribute written, audio, and video material because to the growing availability of content creation equipment including high-resolution cameras, content development software, and smartphones. Internet usage has increased dramatically, and as a result, on-demand streaming services like Netflix and YouTube have largely replaced regional traditional media outlets like television and radio.


FIGURE 3: AI/ML IN MEDIA AND ENTERTAINMENT MARKET SIZE BY REGION 2022 VS 2032, (USD BILLION)


AI/ML IN MEDIA AND ENTERTAINMENT MARKET SIZE BY REGION 2022 VS 2032


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


AI/ML in Media and Entertainment Market - Key Market Players and Competitive Insights


Since so many businesses provide stamped metal parts and End Users to the automotive industry, the AI/ML in Media and Entertainment market is a very competitive sector. The market is characterized by the presence of numerous smaller and rising players in addition to existing and significant AI/ML in Media and Entertainment businesses. To increase productivity, lower costs, and improve the quality of stamped metal parts and End Users, these businesses are devoted to creating cutting-edge stamping technologies and procedures. They also place a high priority on adhering to the industry's stricter environmental and safety laws.


Pricing, quality, delivery times, and the capacity to provide customers with customized solutions are just a few of the variables that influence competition in the market for AI/ML in the media and entertainment industry. Additionally, for businesses to continue to be competitive in the market, partnerships and collaborations with other industry participants, such as OEMs and suppliers, are essential. In the AI/ML in the Media and Entertainment market, mergers and acquisitions are also frequent as businesses look to increase their skills and reach. Additionally, businesses are spending a lot of money on R&D to create new materials and technologies that will enhance the functionality, resilience, and security of stamped metal parts and End Users.


AI/ML in Media and Entertainment Market - Key Companies Include



AI/ML in Media and Entertainment Market - Industry developments


May 2022, Gravity R&D is a top provider of personalization technology that was founded on data science. Taboola, a leader in enabling recommendations for the open web and supporting users in finding material they may enjoy, announced it has entered into a definitive agreement to buy Gravity R&D.


May 2022, The newest round of computer-optimized instances, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances, are powered by Graviton3 processors made by Amazon Web Services.


AI/ML in Media and Entertainment Market - Market Segmentation


AI/ML in Media and Entertainment Market - Solutions Outlook




  • Hardware/Equipment




  • Services




AI/ML in Media and Entertainment Market - Application Outlook




  • Gaming




  • Fake Story Detection




  • Plagiarism Detection




  • Personalization




  • Production Planning & Management




  • Sales & Marketing




  • Talent Identification




  • Content Capture




  • Others




AI/ML in Media and Entertainment Market - End User Outlook




  • Film and Television




  • Music




  • Gaming




  • Sports




  • Media Agencies




  • Others




AI/ML in Media and Entertainment Market - Regional Outlook


North America



  • US




  • Canada




  • Mexico




Europe



  • Germany




  • France




  • UK




  • Italy




  • Spain




  • Rest of Europe




Asia-Pacific



  • China




  • Japan




  • India




  • South Korea




  • Australia




  • Rest of Asia-Pacific




Middle East & Africa



  • Saudi Arabia




  • UAE




  • South Africa




  • Rest of the Middle East & Africa




South America



  • Brazil




  • Argentina




  • Chile




  • Rest of South America



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