Generative AI In Media And Entertainment Global Market 2024 – By Size, Share, Trends, Demand, Forecast To 2033 | Amazon Inc.; Alphabet Inc.; Samsung Electronics Co. Ltd

Generative AI In Media And Entertainment

The generative AI in media and entertainment market size is expected to see exponential growth in the next few years. It will grow to $5.26 billion in 2028 at a compound annual growth rate (CAGR) of 27.8%.  The growth in the forecast period can be attributed to integration with creative tools, integration of AI into creative workflows, ethical and regulatory considerations, cost efficiency and scalability, emergence of AI-driven content discovery. Major trends in the forecast period include advancements in deep learning algorithms, monetization opportunities, real-time content generation, hyper-realistic content generation.

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Segmentation & Regional Insights
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

North America was the largest region in the generative AI in media and entertainment market in 2023. 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.

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Major Driver Impacting Market Growth
The increasing use of video games is expected to propel the growth of the generative AI media and entertainment market going forward. Video games refer to a computer game in which players interact with an input device or user interface to provide visual feedback on a display device. The popularity of video games arises because of accessibility, diverse content, social connectivity, cultural influence, and ongoing creativity within the industry. Generative AI is increasingly being used in various aspects of video game development to enhance creativity, efficiency, and player engagement and create more immersive and personalized gaming experiences. For instance, in May 2023, according to the Entertainment Software Association, a US-based video game industry company, US consumer spending on video games was $56.1 billion in 2020 and rose to $59.6 billion in 2021. Therefore, the increasing use of video games is driving the growth of the generative AI media and entertainment market.

Key Industry Players
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.

The generative ai in media and entertainment market report table of contents includes:
1. Executive Summary
2. Generative AI In Media And Entertainment Market Characteristics
3. Generative AI In Media And Entertainment Market Trends And Strategies
4. Generative AI In Media And Entertainment Market – Macro Economic Scenario
5. Global Generative AI In Media And Entertainment Market Size and Growth
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31. Generative AI In Media And Entertainment Market Other Major And Innovative Companies
32. Global Generative AI In Media And Entertainment Market Competitive Benchmarking
33. Global Generative AI In Media And Entertainment Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Generative AI In Media And Entertainment Market
35. Generative AI In Media And Entertainment Market Future Outlook and Potential Analysis

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