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Home Artificial Intelligence

Video Games’ Impact On The Generative AI Media And Entertainment Market: A Key Driver Powering Generative AI In Media And Entertainment Market Growth In 2025

May 20, 2025
in Artificial Intelligence, OpenPR, Web3
Reading Time: 8 mins read
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Generative AI In Media And Entertainment

Generative AI In Media And Entertainment

The Generative AI In Media And Entertainment Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Current Generative AI In Media And Entertainment Market Size and Its Estimated Growth Rate?
The market size for generative AI within the media and entertainment sector has experienced remarkable growth in the past few years. It is projected to expand from $1.97 billion in 2024 to $2.53 billion in 2025, with a compound annual growth rate (CAGR) of 28.1%. The significant advancement during the historical phase can be credited to factors such as heightened computational abilities, innovative experimentation, enhanced data access and quality, tailored content, and the utilization of big data.

The market size for generative AI in the media and entertainment sector is anticipated to witness an astronomical augmentation in the upcoming years, ballooning to $6.73 billion by 2029 with a compound annual growth rate (CAGR) of 27.8%. This projected growth in the given period is driven by factors such as the integration of AI with creative instruments, the infusion of AI into creative courses of action, regulatory and ethical aspects, cost-effectiveness, and scalability, together with the emergence of AI-powered content discovery. Key trends for the projected period comprise advancements in deep learning algorithms, monetization prospects, real-time content creation, and generation of supremely realistic content.

Purchase the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=15187

How Are Emerging Segments Shaping the Generative AI In Media And Entertainment Market Landscape?
The generative AI in media and entertainment market covered in this report is segmented –

1) By Type: Text-To-Image Generation, Image-to-Image Generation, Music Generation, Video Generation, 3 Dimensional Modeling And Animation
2) By Offerings: Solution, Services
3) By Deployment Mode: Cloud-Based, On-Premise
4) By Application: Gaming, Film And Television, Advertising And marketing, Music And Sound Production, Virtual Reality (VR) And Augmented Reality (AR), Other Applications

Subsegments:
1) By Text-To-Image Generation: AI-Powered Image Creation From Text Descriptions, Art And Design Generation, Photorealistic And Stylized Image Generation
2) By Image-To-Image Generation:Image Enhancement And Editing, Style Transfer And Customization, Image Restoration And Transformation
3) By Music Generation: AI-Composed Music For Films, Games, And Commercials, Music Arrangement And Composition Tools, Soundtrack And Audio Effects Generation
4) By Video Generation: AI-Driven Video Synthesis And Editing, Automated Video Content Creation, AI For Animation And Motion Graphics
5) By 3 Dimensional Modeling And Animation: AI-Based 3D Object Creation, 3D Animation Tools, AI-Enhanced Character Modeling And Movement

Get your free sample here:
https://www.thebusinessresearchcompany.com/sample.aspx?id=15187&type=smp

Which Growth Factors Are Influencing Generative AI In Media And Entertainment Market Expansion?
The rising popularity of video games is anticipated to spur the expansion of the generative AI media and entertainment market. Video games, in which players interact with an interface to generate visual feedback on a display unit, are gaining traction due to their accessibility, varied content, societal interaction, cultural impact, and constant ingenuity within the sector. Generative AI is progressively being utilized in different facets of video game production to boost inventiveness, productivity, and player participation, and provide more immersive and tailor-made gaming experiences. For instance, according to GamesIndustry.biz, a well-regarded UK-based periodical covering international video game industry news, about 75% of European video game enthusiasts are adults, averaging 31.4 years of age. The European video game workforce expanded by 6.7% in 2022, employing nearly 115,000 individuals, and the sector’s revenue also rose by 5%, hitting €25.7 billion (USD 28.7 billion). With this in mind, the heightened use of video games is boosting the development of the generative AI media and entertainment market.

Who Are the Dominant Players Across Different Generative AI In Media And Entertainment Market Segments?
Major companies operating in the generative AI in media and entertainment market report are Amazon Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd.; Microsoft Corporation; Meta Platforms Inc.; Tencent Holdings Ltd.; Tesla Inc.; Intel Corporation; International Business Machines Corporation; Oracle Corporation; Uber Technologies Inc.; Netflix Inc.; PayPal Holdings Inc.; NVIDIA Corporation; Salesforce Inc.; Baidu Inc.; Adobe Inc.; Snap Inc.; X Corp; Zoom Video Communications Inc; Sentient Technologies LLC; Gong Inc.; DeepMind Technologies Limited; Cohere Inc.; OpenAI Inc.

What Are the Latest Developing Trends in the Generative AI In Media And Entertainment Market?
Prominent businesses in the generative AI media and entertainment sector are geared towards the creation of revolutionary AI technologies, such as media copilot, in a bid to remain relevant and cater to the changing needs of the industry. Media Copilot is a cutting-edge AI tool created to help users evaluate the performance of content across different distribution platforms and income models within the media and entertainment industries. For instance, Symphony Innovation LLC, a software company based in the US, unveiled its AI-powered Media Copilot technology in April 2024. This technology utilizes predictive and generative AI to aid users in assessing content performance across multiple distribution channels and revenue structures. Moreover, it includes SymphonyAI Media Copilot and income model optimization features.

Get the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/report/generative-ai-in-media-and-entertainment-global-market-report

Which Geographic Regions Are Expected to Dominate the Generative AI In Media And Entertainment Market in the Coming Years?
North America was the largest region in the generative AI in media and entertainment market in 2024. The regions covered in the generative AI in media and entertainment market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Generative AI In Media And Entertainment Market?
2. What is the CAGR expected in the Generative AI In Media And Entertainment Market?
3. What Are the Key Innovations Transforming the Generative AI In Media And Entertainment Industry?
4. Which Region Is Leading the Generative AI In Media And Entertainment Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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LinkedIn: https://in.linkedin.com/company/the-business-research-company,
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YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ.

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Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

This release was published on openPR.

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