Artificial Intelligence (AI) Market Share in Games (2025-2034)

AI’s influence can be felt in nearly every industry, especially creative sectors such as gaming.

With growing challenges to scale and drive business growth, game companies are turning to AI automation for analytics, content generation, and task management. 

But before we explore the AI market share in games, let’s zoom out and observe the broader AI market.

AI Market Overview (Size, Growth, & Trends)

The global AI market, encompassing various industries, was valued at $294.16 billion in 2025 and is projected to grow to $1771.62 billion by 2032, at a CAGR of 29.2%.

More than 80% of companies are using AI in some capacity. Key industries with high adoption rates include:

• Finance: 91% of financers either considered or have already adopted AI.
• Healthcare: 90% of hospitals use AI for early diagnosis.
• Insurance: 59% of American and British insurers have implemented GenAI.
• Marketing: 53% of marketers use AI for data analytics.

And AI is also having a profound impact on the gaming industry.

Key Technologies Driving AI in Games

Many technologies are leading the rise of AI in gaming, such as AI agents, Generative AI, and machine learning.

AI Agents

Agentic AI has the potential to completely transform the way that games are developed, analyzed, and even played. These systems can operate on a device, retrieve data, make logical decisions, and act autonomously to reach specific goals.

In 2025, the global AI agents market has an estimated valuation of $7.38 billion. By 2030, it is projected to be worth $47.1 billion, at a CAGR of 44.8%. 

This projection can be attributed to the growing need for game companies to:

• Automate game analytics to pinpoint specific trends and metrics.
• Adjust game difficulty to boost player engagement.
• Predict player churn and other bottlenecks with precision.
• Highlight player preferences to tailor in-game content.
• Handle large player sets for scalability.

Generative AI

In 2025, Gen AI has a global market value of $62.72 billion. And in gaming, it’s expected to grow from $1.68 billion in 2025 to $10.44 billion by 2034, with a CAGR of 22.52%.

This AI subset uses models to produce images, texts, videos, and other media. In game development, it is proving to be extremely powerful.

Game companies such as Activision Blizzard are shedding light on how they’re using GenAI to create visuals for Call of Duty.

Machine Learning and Deep Learning

As of 2025, machine learning dominates the global AI market with an estimated valuation of around $94.35 billion. This technology can:

• Process large amounts of data
• Identify trends and anomalies
• Highlight patterns often overlooked by humans
• Make tasks more precise and accurate. 

Here’s a breakdown of these technologies’ market value in relation to the global total:

	2025 Valuation	% of Market
Total global AI market size	$243.72 billion	100%
Machine learning	$94.35 billion	38.7%
Generative AI	$62.72 billion	25.7%
AI Agents	$7.38 billion	3%
Other (Deep learning, natural language processing)	$79.27 billion	32.5%

Some more contributing factors to the rise in AI in gaming include:

• The growing popularity of mobile and online gaming.
• A surge in AR/VR games, which leverage AI to create more immersive experiences.
• The rise of cloud gaming for easy access to high-performance games.

So what is the projected market growth of the AI market share in games?

AI Market Share in Games (2025-2034) 

In 2024, the AI in games market was valued at $10.39 billion. And it’s projected to grow from $11.94 billion in 2025 to $41.75 billion by 2034, with a CAGR of 14.92%.

While representing about 0.49% of the global market, the valuation of AI in games is still a staggering figure and will only continue to grow. 

But which companies are spearheading this market growth?

Key Players in the AI for Games Market

Many different companies are impacting the AI for games market significantly.

Tech giants:

• Google: Testing Gemini AI agents’ ability to interpret rules and challenges in games like Clash of Clans.
• Microsoft: Developed AI model Muse for generating controller actions and gameplay snippets.
• NVIDIA: Avatar Cloud Engine (ACE) uses GenAI to create autonomous game characters such as the PUBG Ally.

Other tech giants using AI to enhance game experiences include AMD and Baidu.

Game developers and publishers:

• Tencent: Uses AI to enhance gameplay through machine learning and natural language processing (NLP).
• Ubisoft: Co-created NEO NPC using GenAI to enhance player-NPC dialogue.
• Sony: Developed AI agent GT Sophy, capable of competing with human players in Gran Turismo.

Other leading game companies innovating with AI:

Activision Blizzard, EA, Nintendo, Take-Two, Playtika, Supercell, Konami, Capcom, Ubisoft, CD Projekt SA.

Game engines:

• Unity: Created open-source toolkit ML-Agents to help developers train agents with machine learning techniques.
• Unreal Engine: Developed Blueprints Visual Scripting, allowing developers to create complex game mechanics without advanced programming knowledge. 

AI research startups:

• AI21 Labs: Provided Ubisoft with language models to automate scriptwriting tasks and enhance data augmentation.
• Promethean AI: Integrates with game engines to automate asset management and environment creation.

AI Market Share in Games: Key Takeaways

Based on everything discussed in this article, we can draw a few conclusions:

• Projection: The AI-in-gaming market is set to quadruple in value over the next decade, growing to $41.75 billion by 2034.
• Segments: Machine Learning remains the dominant AI technology, surpassing Generative AI in market size. Yet, AI agents are emerging as one of the fastest-growing segments.
• AI in gaming: Currently represents less than 1% of the global AI market. However, its impact and adoption are rapidly expanding.

Key drivers: Advancements in game analytics, procedural content generation, and autonomous AI-driven experiences.