In 2022, the Global Generative AI in Gaming Market was valued at USD 922 MN. Between 2023 and 2032, this market is estimated to register the highest CAGR of 23.3%. It is predicted to reach a valuation of USD 7,105 MN by 2032.
Key Takeaway:
- By technique, the nondeterministic technique segment generated the largest revenue share in 2022.
- By function, the non-player character (NPCs) dominated the market with a revenue share of 35.2% in 2022.
- By end-user, the gaming studios segment dominated the market with a revenue share of 51% in 2022.
- In 2022, Asia Pacific dominated the market with the highest revenue share of 34%.
The future trends of generative AI in gaming are very promising. Here are some of the most exciting possibilities:
- More realistic and immersive virtual worlds: Generative AI can be used to create virtual worlds that are indistinguishable from the real world. This could be used to create games that are more immersive and engaging, or to train people for real-world tasks.
- Generation of new game content: Generative AI can be used to generate new game content, such as levels, quests, and characters. This could help to reduce the cost and time of game development, and could also lead to more creative and innovative games.
- Creation of more intelligent and engaging NPCs: Generative AI can be used to create NPCs that are more intelligent and engaging. This could lead to games that are more challenging and rewarding, and could also help to create a more immersive experience.
- Personalization of gaming experiences: Generative AI can be used to personalize gaming experiences. This could be done by tailoring the game to the player’s preferences, or by generating content that is specifically designed to challenge or engage the player.
- Development of new gaming genres: Generative AI could lead to the development of new gaming genres that are not possible with traditional game development techniques. This could open up new possibilities for gaming and could make games more accessible to a wider range of people.
- Use of generative AI in the metaverse: The metaverse is a virtual world that is being developed by tech giants like Meta and Microsoft. Generative AI could be used to create more realistic and immersive experiences in the metaverse.
- Use of generative AI in game streaming: Game streaming is a technology that allows players to play games without having to download or install them. Generative AI could be used to improve the quality of game streaming by reducing latency and improving image quality.
- Use of generative AI in esports: Esports is a competitive form of gaming that is becoming increasingly popular. Generative AI could be used to improve esports by creating more realistic and immersive simulations, or by developing new AI-powered tools for players and coaches.