The Global Generative AI in Gaming Market is expected to grow at the highest CAGR of 23.3% between 2023 and 2032, and is predicted to reach a valuation of USD 7,105 MN by 2032 as per this report.
What is Generative AI
Generative AI refers to the use of artificial intelligence algorithms to generate new and unique outputs, such as images, music, text, and more. It is a subset of AI that enables machines to create content that is indistinguishable from human-generated content. Generative AI works by training models on large datasets of existing content, then using that knowledge to generate new content that is similar in style, tone, and other characteristics. This technology has the potential to revolutionize many industries, from gaming and entertainment to healthcare and education.
Benefits of Generative AI
Generative AI offers several benefits in game development. It allows game developers to create personalized and unique gaming experiences for players by customizing games based on user abilities and preferences. It also helps to eliminate predictability in gameplay, making it more challenging and enjoyable. Generative AI can enhance the intelligence of non-player characters, making them less predictable and more responsive to game conditions. It also allows game developers to automate the process of creating game content such as maps, levels, and scenarios, saving time and resources. Additionally, generative AI can improve the overall quality and experience of games by generating high-quality 3D assets, models, and sprites that fit a particular style or genre.
Drivers of Market Growth
The growth of the market is attributed to the machine learning algorithm of AI that enhances the intelligence of non-player characters (NPCs) and changes scenarios and stories on the fly. The ability of machine learning algorithms in games to adapt to gamer behavior and performance by adjusting the difficulty levels and ambiance is also driving market growth. Game developers are inclined towards AI-generated assets to improve the overall quality and experience of their games.
Procedural content is another significant application of generative AI for developing gaming experiences. This refers to the generation of game content like maps, levels and scenarios with the help of algorithms. With the help of procedural content generation, game developers can save resources and time by automating the process of creating game content.
However, there are some restraints to the growth of the market. The advancement of generative AI in gaming can threaten the jobs of game developers. Developers will need to acquire AI skills to survive their jobs, and there is a possibility that AI could use developers’ work without permission to create content, which may create new copyright issues. Privacy issues may also arise depending on the content used to train the model.
Based on technique, generative AI in the gaming market can be segmented into deterministic techniques and nondeterministic techniques. The nondeterministic technique dominated the market with the largest market share in 2022.
Based on function, the generative AI gaming market is segmented into image enhancement, level generation, balancing in-game complexity, scenarios and stories, and non-player characters. The non-player character (NPCs) segment dominated the market in 2022 with the largest revenue share.
The global generative AI in gaming market is growing at a fast pace and is predicted to reach a significant valuation by 2032. The concept of generative AI in gaming offers many opportunities for game developers to enhance gameplay and user experience. However, the growth of this market also comes with certain challenges, such as the possibility of job loss for game developers, privacy issues and the risk of copyright infringement.