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市场调查报告书
商品编码
2021703

游戏人工智慧市场：未来预测（至2034年）－按游戏类型、组件、部署方式、技术、应用和地区进行分析

AI in Gaming Market Forecasts to 2034 - Global Analysis By Game Type, Component, Deployment Mode, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球游戏人工智慧 (AI) 市场将在 2026 年达到 180 亿美元，预计在预测期内将以 30% 的复合年增长率成长，到 2034 年达到 1550 亿美元。

游戏人工智慧（AI）是指利用人工智慧技术来提升游戏玩法、玩家体验和游戏开发。这包括程序化内容生成、智慧NPC行为、自适应难度调整和个人化建议。人工智慧还能辅助游戏机制的自动化测试与最佳化。透过创造更具沉浸感和互动性的环境，人工智慧可以提高玩家的参与度和留存率。推动这一市场发展的因素包括全球游戏产业的成长、云端游戏平台的兴起以及机器学习和图形处理技术的进步。

云端游戏的普及

基于云端的传输方式让玩家无需昂贵的硬体即可畅玩高品质游戏，从而为人工智慧驱动的串流媒体优化、降低延迟和个人化体验创造了契机。人工智慧透过动态画面调整、预测玩家行为和改进匹配机制来提升云端游戏体验。随着云端游戏在全球的普及，人工智慧技术正成为确保流畅且引人入胜的游戏体验的关键，而这一趋势也是推动市场成长的主要动力。

游戏工作室人工智慧人才短缺

开发先进的人工智慧系统需要机器学习、神经网路和行为建模的专业知识，但许多工作室难以招募和留住这类人才。中小开发公司在与大型企业争夺专业人才方面面临挑战。这种人才短缺减缓了创新步伐，并限制了人工智慧技术的扩充性。与科技公司合作有助于弥合这一差距，但内部专业知识的匮乏仍然是采用人工智慧技术的一大障碍。

为玩家提供个人化的游戏体验

人工智慧技术可以根据玩家的个人喜好自订游戏玩法、难度和故事情节。建议引擎会根据玩家的游戏历史提案新游戏，而自适应人工智慧则会即时调整挑战难度，以保持玩家的兴趣。个人化体验能够提升玩家满意度、留存率和获利能力。随着游戏变得越来越社交和沈浸式，人工智慧驱动的个人化有望在各个平台和游戏类型中开闢新的成长机会。

玩家对自动化机制的抗拒情绪

玩家对自动化机制的抵触情绪对人工智慧在游戏产业的应用构成威胁。虽然人工智慧可以提升游戏体验，但过度自动化会削弱玩家的自主性和创造力。玩家可能会认为人工智慧主导的机制限制了他们的自由，或使游戏体验变得可预测。此外，玩家对主导的匹配机制和商业化战略的公平性也存在担忧，这进一步加剧了他们的疑虑。要维护玩家的信任，就需要在自动化和玩家控制之间找到平衡。

新冠疫情的影响：

新冠疫情加速了人们对数位娱乐的需求，并推动了人工智慧在游戏产业的应用。封锁措施导致主机、PC 和行动平台玩家参与度激增。在需求高峰期，人工智慧驱动的配对系统、内容建议和自适应游戏玩法成为维持玩家参与度的关键。然而，製作延期和人才短缺给游戏工作室带来了短期挑战。此外，随着玩家寻求沉浸式且便利的游戏体验，新冠疫情凸显了云端游戏和人工智慧主导的个人化服务的重要性。

在预测期内，动作冒险游戏细分市场预计将占据最大的市场份额。

由于动作冒险游戏广受欢迎，且高度依赖人工智慧驱动的机制来打造沉浸式故事、自适应难度和动态环境，预计在预测期内，该类型游戏将占据最大的市场份额。这些游戏受益于人工智慧技术，能够增强真实感、创建响应迅速的NPC并提供个人化体验。主机、PC和行动平台的强劲需求巩固了该类型的主导地位。游戏玩法设计的持续创新有望使动作冒险游戏继续主导市场。

在预测期内，程式内容产生（PCG）预计将呈现最高的复合年增长率。

在预测期内，PCG（程式生成内容）领域预计将呈现最高的成长率，这主要得益于人工智慧驱动演算法的进步，这些演算法能够动态产生关卡、环境和叙事，图降低开发成本并提高游戏的可玩性。 PCG 使游戏能够为每位玩家提供独特的体验，延长玩家参与度和游戏寿命。机器学习技术的进步正在提升生成内容的品质和复杂性。游戏工作室正在采用这项技术来加快开发週期并拓展创造性可能性。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额，这得益于其成熟的游戏工作室、强大的技术基础设施以及云端游戏平台的高渗透率。美国在将人工智慧融入游戏设计和发行方面处于主导地位，主要开发商和发行商都在积极推进这一进程。对人工智慧研发的大力投入以及与科技公司的合作，正在巩固该地区的领先地位。消费者对沉浸式和个人化体验的强劲需求，也推动了市场的进一步成长。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于互联网普及率的提高和对人工智慧主导游戏Start-Ups投资的增加。中国、日本、韩国和印度等国家对个人化云端游戏体验的需求强劲。区域开发商正在采用人工智慧技术来增强行动和线上平台。政府主导的数位创新措施也进一步加速了人工智慧的普及应用。

免费客製化服务：

订阅本报告的用户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他公司（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣量身定制的主要国家/地区的市场估算、预测和复合年增长率（註：基于可行性检查）
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 成长要素、挑战与机会
  • 竞争格局概述
  • 战略考虑和建议

第二章：分析框架

  • 分析的目标和范围
  • 相关人员分析
  • 分析的前提条件与限制
  • 分析方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 科技与创新趋势
  • 新兴市场和高成长市场
  • 监管和政策环境
  • 感染疾病的影响及恢復前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商议价能力
    • 买方的议价能力
    • 替代产品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球游戏人工智慧市场：按游戏类型划分

  • 动作冒险游戏
  • 角色扮演游戏（RPG）
  • 模拟游戏
  • 体育比赛
  • 策略游戏
  • 其他类型的游戏

第六章：全球游戏人工智慧市场：按组件划分

  • 游戏引擎
  • AI中介软体
  • GPU（图形处理单元）
  • 人工智慧开发工具
  • 基于云端的游戏基础设施
  • 其他规则

第七章：全球游戏人工智慧市场：依部署方式划分

  • 设备端人工智慧
  • 基于云端的人工智慧

第八章：全球游戏人工智慧市场：按技术划分

  • 强化学习
  • 电脑视觉
  • PCG（Procedural Content Generation）
  • 自然语言处理
  • 行为人工智慧
  • 其他技术

第九章：全球游戏人工智慧市场：按应用领域划分

  • 非玩家角色（NPC）行为
  • 游戏测试和品质保证
  • 玩家个人化
  • 诈欺侦测与安全
  • 即时分析
  • 其他用途

第十章：全球游戏人工智慧市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 产业加值网络与供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 企业合併（M&A）
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • NVIDIA Corporation
  • Microsoft（Xbox Game Studios）
  • Sony Interactive Entertainment
  • Tencent Holdings
  • Electronic Arts Inc.
  • Activision Blizzard
  • Ubisoft Entertainment
  • Epic Games
  • Unity Technologies
  • Roblox Corporation
  • NetEase Inc.
  • Valve Corporation
  • Bandai Namco Entertainment
  • Square Enix
  • Take-Two Interactive
  • Krafton Inc.
Product Code: SMRC35065

According to Stratistics MRC, the Global AI in Gaming Market is accounted for $18 billion in 2026 and is expected to reach $155 billion by 2034 growing at a CAGR of 30% during the forecast period. AI in Gaming involves the use of artificial intelligence to enhance gameplay, player experiences, and game development. This includes procedural content generation, intelligent NPC behavior, adaptive difficulty, and personalized recommendations. AI also supports automated testing and optimization of game mechanics. By creating more immersive and interactive environments, AI improves player engagement and retention. The market is driven by the global growth of the gaming industry, cloud gaming platforms, and advancements in machine learning and graphics processing technologies.

Market Dynamics:

Driver:

Growing adoption of cloud gaming

Cloud-based delivery allows players to access high-quality games without expensive hardware, creating opportunities for AI-driven optimization of streaming, latency reduction, and personalized experiences. AI enhances cloud gaming by dynamically adjusting graphics, predicting player behavior, and improving matchmaking. As cloud gaming expands globally, AI technologies are becoming essential to ensure seamless and engaging gameplay, positioning this trend as a key driver of market growth.

Restraint:

Limited AI talent in gaming studios

Developing advanced AI systems requires expertise in machine learning, neural networks, and behavioral modeling, which many studios struggle to recruit or retain. Smaller developers face challenges in competing with large firms for skilled professionals. This talent gap slows innovation and limits the scalability of AI-driven features. While partnerships with tech companies are helping bridge the gap, limited in-house expertise remains a barrier to widespread adoption.

Opportunity:

Personalized gaming experiences for players

AI technologies can tailor gameplay, difficulty levels, and in-game narratives to individual player preferences. Recommendation engines suggest new titles based on play history, while adaptive AI adjusts challenges in real time to maintain engagement. Personalized experiences increase player satisfaction, retention, and monetization. As gaming becomes more social and immersive, personalization through AI is expected to unlock new growth opportunities across platforms and genres.

Threat:

Player resistance to automated mechanics

Player resistance to automated mechanics poses a threat to AI adoption in gaming. While AI enhances gameplay, excessive automation can reduce player agency and creativity. Gamers may perceive AI-driven mechanics as limiting freedom or making experiences predictable. Concerns about fairness in AI-driven matchmaking and monetization strategies further fuel skepticism. Balancing automation with player control is critical to maintaining trust.

Covid-19 Impact:

The COVID-19 pandemic accelerated demand for digital entertainment, boosting AI adoption in gaming. Lockdowns led to surging player engagement across consoles, PCs, and mobile platforms. AI-powered matchmaking, content recommendations, and adaptive gameplay became critical in sustaining engagement during peak demand. However, production delays and talent shortages created short-term challenges for studios. The pandemic also highlighted the importance of cloud gaming and AI-driven personalization as players sought immersive, accessible experiences.

The action & adventure games segment is expected to be the largest during the forecast period

The action & adventure games segment is expected to account for the largest market share during the forecast period owing to their widespread popularity and reliance on AI-driven mechanics for immersive storytelling, adaptive difficulty, and dynamic environments. These games benefit from AI technologies that enhance realism, create responsive NPCs, and deliver personalized experiences. Strong demand across consoles, PCs, and mobile platforms ensures segment leadership. With continuous innovation in gameplay design, action & adventure titles are expected to dominate the market.

The procedural content generation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the procedural content generation segment is predicted to witness the highest growth rate as AI-driven algorithms enable dynamic creation of levels, environments, and narratives, reducing development costs and enhancing replayability. Procedural generation allows games to offer unique experiences for each player, increasing engagement and longevity. Advances in machine learning are improving the quality and complexity of generated content. Studios are adopting this technology to accelerate development cycles and expand creative possibilities.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share supported by established gaming studios, strong technology infrastructure, and high adoption of cloud gaming platforms. The U.S. leads with major developers and publishers integrating AI into game design and delivery. Robust investment in AI R&D and partnerships with tech firms strengthen regional leadership. High consumer demand for immersive and personalized experiences further supports growth.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to the expanding internet penetration, and rising investments in AI-driven gaming startups. Countries such as China, Japan, South Korea, and India are witnessing strong demand for personalized and cloud-based gaming experiences. Regional developers are adopting AI to enhance mobile and online platforms. Government-backed initiatives in digital innovation further accelerate adoption.

Key players in the market

Some of the key players in AI in Gaming Market include NVIDIA Corporation, Microsoft (Xbox Game Studios), Sony Interactive Entertainment, Tencent Holdings, Electronic Arts Inc., Activision Blizzard, Ubisoft Entertainment, Epic Games, Unity Technologies, Roblox Corporation, NetEase Inc., Valve Corporation, Bandai Namco Entertainment, Square Enix, Take-Two Interactive and Krafton Inc.

Key Developments:

In July 2025, Ubisoft partnered with NVIDIA to enhance AI-driven NPC behavior in open-world titles. The collaboration reinforced immersive gameplay and strengthened Ubisoft's innovation pipeline.

In May 2025, EA expanded AI-driven sports simulation engines for FIFA and Madden franchises. The innovation reinforced realism in gameplay and strengthened its leadership in sports gaming.

In February 2025, Microsoft partnered with Inworld AI to integrate generative AI into Xbox games. The collaboration reinforced narrative depth and strengthened player engagement through dynamic storytelling.

Game Types Covered:

  • Action & Adventure Games
  • Role-Playing Games (RPG)
  • Simulation Games
  • Sports Games
  • Strategy Games
  • Other Game Types

Components Covered:

  • Game Engines
  • AI Middleware
  • Graphics Processing Units (GPUs)
  • AI Development Tools
  • Cloud Gaming Infrastructure
  • Other Components

Deployment Modes Covered:

  • On-Device AI
  • Cloud-Based AI

Technologies Covered:

  • Reinforcement Learning
  • Computer Vision
  • Procedural Content Generation
  • Natural Language Processing
  • Behavioral AI
  • Other Technologies

Applications Covered:

  • Non-Player Character (NPC) Behavior
  • Game Testing & QA
  • Player Personalization
  • Fraud Detection & Security
  • Real-Time Analytics
  • Other Applications

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Gaming Market, By Game Type

  • 5.1 Action & Adventure Games
  • 5.2 Role-Playing Games (RPG)
  • 5.3 Simulation Games
  • 5.4 Sports Games
  • 5.5 Strategy Games
  • 5.6 Other Game Types

6 Global AI in Gaming Market, By Component

  • 6.1 Game Engines
  • 6.2 AI Middleware
  • 6.3 Graphics Processing Units (GPUs)
  • 6.4 AI Development Tools
  • 6.5 Cloud Gaming Infrastructure
  • 6.6 Other Components

7 Global AI in Gaming Market, By Deployment Mode

  • 7.1 On-Device AI
  • 7.2 Cloud-Based AI

8 Global AI in Gaming Market, By Technology

  • 8.1 Reinforcement Learning
  • 8.2 Computer Vision
  • 8.3 Procedural Content Generation
  • 8.4 Natural Language Processing
  • 8.5 Behavioral AI
  • 8.6 Other Technologies

9 Global AI in Gaming Market, By Application

  • 9.1 Non-Player Character (NPC) Behavior
  • 9.2 Game Testing & QA
  • 9.3 Player Personalization
  • 9.4 Fraud Detection & Security
  • 9.5 Real-Time Analytics
  • 9.6 Other Applications

10 Global AI in Gaming Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 NVIDIA Corporation
  • 13.2 Microsoft (Xbox Game Studios)
  • 13.3 Sony Interactive Entertainment
  • 13.4 Tencent Holdings
  • 13.5 Electronic Arts Inc.
  • 13.6 Activision Blizzard
  • 13.7 Ubisoft Entertainment
  • 13.8 Epic Games
  • 13.9 Unity Technologies
  • 13.10 Roblox Corporation
  • 13.11 NetEase Inc.
  • 13.12 Valve Corporation
  • 13.13 Bandai Namco Entertainment
  • 13.14 Square Enix
  • 13.15 Take-Two Interactive
  • 13.16 Krafton Inc.

List of Tables

  • Table 1 Global AI in Gaming Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Gaming Market, By Game Type (2023-2034) ($MN)
  • Table 3 Global AI in Gaming Market, By Action & Adventure Games (2023-2034) ($MN)
  • Table 4 Global AI in Gaming Market, By Role-Playing Games (RPG) (2023-2034) ($MN)
  • Table 5 Global AI in Gaming Market, By Simulation Games (2023-2034) ($MN)
  • Table 6 Global AI in Gaming Market, By Sports Games (2023-2034) ($MN)
  • Table 7 Global AI in Gaming Market, By Strategy Games (2023-2034) ($MN)
  • Table 8 Global AI in Gaming Market, By Other Game Types (2023-2034) ($MN)
  • Table 9 Global AI in Gaming Market, By Component (2023-2034) ($MN)
  • Table 10 Global AI in Gaming Market, By Game Engines (2023-2034) ($MN)
  • Table 11 Global AI in Gaming Market, By AI Middleware (2023-2034) ($MN)
  • Table 12 Global AI in Gaming Market, By Graphics Processing Units (GPUs) (2023-2034) ($MN)
  • Table 13 Global AI in Gaming Market, By AI Development Tools (2023-2034) ($MN)
  • Table 14 Global AI in Gaming Market, By Cloud Gaming Infrastructure (2023-2034) ($MN)
  • Table 15 Global AI in Gaming Market, By Other Components (2023-2034) ($MN)
  • Table 16 Global AI in Gaming Market, By Deployment Mode (2023-2034) ($MN)
  • Table 17 Global AI in Gaming Market, By On-Device AI (2023-2034) ($MN)
  • Table 18 Global AI in Gaming Market, By Cloud-Based AI (2023-2034) ($MN)
  • Table 19 Global AI in Gaming Market, By Technology (2023-2034) ($MN)
  • Table 20 Global AI in Gaming Market, By Reinforcement Learning (2023-2034) ($MN)
  • Table 21 Global AI in Gaming Market, By Computer Vision (2023-2034) ($MN)
  • Table 22 Global AI in Gaming Market, By Procedural Content Generation (2023-2034) ($MN)
  • Table 23 Global AI in Gaming Market, By Natural Language Processing (2023-2034) ($MN)
  • Table 24 Global AI in Gaming Market, By Behavioral AI (2023-2034) ($MN)
  • Table 25 Global AI in Gaming Market, By Other Technologies (2023-2034) ($MN)
  • Table 26 Global AI in Gaming Market, By Application (2023-2034) ($MN)
  • Table 27 Global AI in Gaming Market, By Non-Player Character (NPC) Behavior (2023-2034) ($MN)
  • Table 28 Global AI in Gaming Market, By Game Testing & QA (2023-2034) ($MN)
  • Table 29 Global AI in Gaming Market, By Player Personalization (2023-2034) ($MN)
  • Table 30 Global AI in Gaming Market, By Fraud Detection & Security (2023-2034) ($MN)
  • Table 31 Global AI in Gaming Market, By Real-Time Analytics (2023-2034) ($MN)
  • Table 32 Global AI in Gaming Market, By Other Applications (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.