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The ai market in media and entertainment industry size is forecast to increase by USD 30.73 billion, at a CAGR of 26.4% between 2023 and 2028.
Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The AI market in media and entertainment continues to evolve, with dynamic applications across various sectors. In game development, AI training datasets enhance player experiences through realistic non-playable characters and intelligent enemy behavior. Recommendation engines personalize content for streaming services, while cybersecurity measures protect against potential threats. AI-powered video editing streamlines production workflows, enabling real-time rendering and automated dubbing. Deep learning algorithms enable sentiment analysis, allowing content distributors to tailor recommendations based on viewer preferences. Machine learning models optimize programmatic advertising, ensuring targeted delivery to specific audiences. Data analytics and licensing agreements facilitate revenue generation in animation studios, while bias detection ensures ethical AI usage.
Interactive advertising engages viewers through object detection and metadata tagging, enhancing user experience. Project management software streamlines workflows, from pre-production to post-production. Natural language processing and CGI rendering bring AI-powered content creation tools to life, while cloud rendering and monetization strategies enable scalability and profitability. AI ethics, explainable AI, and facial recognition are crucial considerations in this rapidly evolving landscape. Virtual production and AI-powered post-production workflows revolutionize television production, while social media platforms leverage AI for content moderation and personalized content delivery. Big data processing and model interpretability enable more efficient and effective AI implementation. In the ever-changing media and entertainment industry, AI continues to unfold new patterns and applications, driving innovation and growth.
The ai in media and entertainment industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The machine learning segment is estimated to witness significant growth during the forecast period.
The media and entertainment industry has been significantly transformed by the integration of artificial intelligence (AI) technologies. Machine learning (ML), in particular, has been instrumental in enhancing video data management and analytics. For instance, Wasabi Technologies' latest object storage solutions employ AI and ML capabilities for automated tagging and metadata indexing of video content. These advancements enable seamless storage of video content in S3-compatible object storage systems, improving content accessibility and searchability. AI is also revolutionizing game development with the use of deep learning algorithms for creating more realistic 3D animations and AI-powered video editing for personalized content.
Recommendation engines and targeted advertising have become commonplace, utilizing ML models to deliver customized content to viewers. Content distribution platforms and streaming services leverage AI for licensing agreements and data analytics, optimizing revenue generation models. Television production benefits from AI ethics, bias detection, and sentiment analysis, ensuring ethical and inclusive content creation. Computer vision and facial recognition are essential for content moderation, while explainable AI and model interpretability maintain transparency. Natural language processing and speech recognition are crucial for subtitling software and metadata tagging, enhancing accessibility. Project management software and workflow automation streamline production processes, while collaboration tools facilitate efficient teamwork.
Cloud rendering and real-time rendering enable faster content creation and delivery. Monetization strategies are evolving with programmatic advertising and personalized advertising, utilizing AI for targeted campaigns. AI-powered video editing, CGI rendering, and motion capture offer more immersive and harmonious experiences for viewers. Interactive advertising, object detection, and automated dubbing provide additional value to content creators and consumers. Copyright protection and data security are ensured through AI technologies, safeguarding intellectual property and user privacy. In summary, AI technologies, including machine learning, are revolutionizing the media and entertainment industry by enhancing content creation, management, and consumption. From video data management to game development, television production, and content distribution, AI is transforming the landscape, offering numerous benefits and opportunities.
The Machine learning segment was valued at USD 2.68 billion in 2018 and showed a gradual increase during the forecast period.
North America is estimated to contribute 38% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
The North American market for AI in media and entertainment is witnessing significant growth, fueled by technological innovations and strategic collaborations. Key industry players in the region are utilizing AI to enhance content creation, distribution, and audience engagement, solidifying North America's position as a leading hub in this sector. At the NAB Show in Las Vegas, US, in April 2024, MediaKind, a global media technology services leader, unveiled a suite of scalable solutions. These offerings include advanced cloud capabilities, edge cloud devices, and AI-powered tools tailored for content owners, broadcasters, vMVPDs, and pay-TV providers. These solutions aim to optimize content delivery and boost operational efficiency, addressing the evolving requirements of the media and entertainment industry.
MediaKind's innovations encompass computer vision, natural language processing, and deep learning algorithms to deliver personalized content, targeted advertising, and content moderation. Additionally, these solutions employ machine learning models and bias detection to improve recommendation engines and workflow automation. Furthermore, they offer data analytics, licensing agreements, and metadata tagging to streamline content distribution and monetization strategies. The integration of AI ethics, cybersecurity measures, and model interpretability ensures a harmonious balance between technological advancements and ethical considerations. These solutions also include gpu acceleration, real-time rendering, and automated dubbing for interactive storytelling and virtual production. By focusing on data security, collaboration tools, and copyright protection, MediaKind's offerings address the industry's need for robust and secure AI applications.
Overall, the North American media and entertainment industry's adoption of AI is propelling it towards an immersive, harmonious, and efficient future.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
In the dynamic and innovative world of media and entertainment, Artificial Intelligence (AI) is revolutionizing the way content is created, distributed, and consumed. From content creation and production to post-production and distribution, AI is transforming the media and entertainment industry. Natural Language Processing (NLP) and Machine Learning (ML) algorithms enable personalized content recommendations, while Computer Vision (CV) powers visual effects and content analysis. AI-driven chatbots offer customer support and engagement, and Virtual Reality (VR) and Augmented Reality (AR) technologies, fueled by AI, offer immersive experiences. AI's role in media and entertainment is expanding, with applications in scriptwriting, music composition, and even casting. This the market is a game-changer, enhancing user experience, increasing efficiency, and driving innovation.
The ai market in media and entertainment industry forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai market in media and entertainment industry report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, ai market in media and entertainment industry forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Amazon Web Services (AWS) - Advanced AI cameras automatically document activities in real-time, offering hands-free live broadcasting and filmmaking capabilities. These innovative devices feature automated zoom and other capabilities, enhancing production quality without human intervention. By leveraging artificial intelligence, these cameras expand the reach of content creation, providing a streamlined and efficient solution for media production.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI Market In Media And Entertainment Industry insights. See full methodology.
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Market Scope |
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Report Coverage |
Details |
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Page number |
208 |
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Base year |
2023 |
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Historic period |
2018-2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 26.4% |
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Market growth 2024-2028 |
USD 30729.2 million |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
25.0 |
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Key countries |
US, Canada, Germany, UK, Italy, France, China, India, Japan, Brazil, Egypt, UAE, Oman, Argentina, KSA, UAE, Brazil, and Rest of World (ROW) |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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1 Executive Summary
2 Technavio Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Qualitative Analysis
7 Five Forces Analysis
8 Market Segmentation by Technology
9 Market Segmentation by End-user
10 Market Segmentation by Offering
11 Market Segmentation by Application
12 Customer Landscape
13 Geographic Landscape
14 Drivers, Challenges, and Opportunity/Restraints
15 Competitive Landscape
16 Competitive Analysis
17 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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