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Generative AI In Media And Entertainment Market: Size, Share, Analysis And Forecast To 2033
Generative AI In Media And Entertainment Market
As per the report, the generative AI in media and entertainment market size has grown exponentially in recent years. It will grow from $1.55 billion in 2023 to $1.97 billion in 2024 at a compound annual growth rate (CAGR) of 27.5%. 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%.
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Video Games' Impact On The Generative AI Media And Entertainment Market
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.
Introducing AI-driven Media Copilot By Symphony Innovation LLC
Major companies operating in the generative AI media and entertainment market are focused on developing innovative AI technologies, such as media copilot, to stay competitive and meet the evolving demands of the industry. Media Copilot refers to an innovative AI-based tool to assist users in analyzing content performance across distribution platforms and revenue models in the media and entertainment industries. For instance, in April 2024, Symphony Innovation LLC, a US-based software company, announced the launch of AI-driven Media Copilot, which is both predictive and generative. It leverages generative and predictive AI to assist users in analyzing content performance across various distribution platforms and revenue models. Additionally, it features SymphonyAI Media Copilot and revenue model optimization.
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
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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.
Contents of the report:
1. Executive Summary
2. Generative AI In Media And Entertainment Market Report Structure
3. Generative AI In Media And Entertainment Market Trends And Strategies
4. Generative AI In Media And Entertainment Market - Macro Economic Scenario
5. Generative AI In Media And Entertainment Market Size And Growth
…..
27. Generative AI In Media And Entertainment Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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