媒体和娱乐领域的生成式人工智慧市场－全球产业规模、份额、趋势、机会及预测（按部署方式、类型、应用、地区和竞争格局划分，2021-2031年）

全球媒体和娱乐产业生成式人工智慧市场预计将大幅成长。

预计该市场规模将从2025年的19.3011亿美元成长到2031年的79.7305亿美元，复合年增长率（CAGR）为26.67%。该领域利用先进的机器学习演算法，例如大规模语言模型和神经网络，自主生成文字、音讯、视觉素材和虚拟表演。推动市场发展的关键因素包括降低不断上涨的製作成本的财务需求，以及消费者对高度个人化内容日益增长的需求，而这需要可扩展的高产量输出。此外，复杂后製流程的加速也是一个重要的结构性因素，促使工作室采用这些技术来优化资源管理并缩短数位内容的上市时间。

然而，这些技术的快速普及面临许多障碍，包括劳动力流失和伦理问题，导致工会与技术采用者之间产生矛盾。这种变革威胁着产业的稳定，并引发了人们对就业保障的担忧。根据2024年动画工会的数据，75%的受访娱乐产业领导者承认，生成式人工智慧工具已经促使其组织内部减少了部分职位、缩减了规模或进行了整合。因此，如何在提高营运效率和保障员工队伍永续性之间取得平衡，仍然是市场平稳扩张的一大障碍。

市场驱动因素

对经济高效且快速的内容製作的迫切需求是市场成长的关键催化剂，促使工作室将资产创建、剧本分析和后期製作等劳动密集型任务自动化。这种营运转型源自于结构性经济需求，即在数位串流平台预算缩减和发行週期缩短的情况下，最大限度地提高资源效率。透过采用演算法工具，公司可以大幅减少渲染和重复性任务所需的人工时，从而加快复杂视觉计划的上市速度。根据2024年3月发布的Unity Gaming Report 2024，62%的受访工作室正在采用人工智慧解决方案来简化其营运流程，这凸显了这些工具在维持经济竞争力方面的广泛应用。

同时，人工智慧驱动的互动游戏和身临其境型环境的扩展正在改变消费格局，实现动态叙事和响应式虚拟生态系统。开发者利用生成模型产生无限的程式化内容和能够即时适应的智慧非玩家角色（NPC），从而在不大幅增加开发成本的情况下增强玩家沉浸感。这种技术融合使得创造深度、个人化的体验成为可能，而这些体验在以前是无法透过人工方式实现的。根据游戏开发者大会（GDC）于2024年1月发布的《2024年游戏产业现况报告》，49%的开发者表示职场中使用生成式人工智慧工具。这股动能也蔓延到了媒体货币化领域，互动广告局（IAB）的2024年报告显示，91%的广告从业人员目前正在使用或试用生成式人工智慧来优化他们的行销策略。

市场挑战

劳动力流失问题普遍存在，由此引发的工会与科技采用者之间的摩擦，是全球生成式人工智慧（AI）在媒体和娱乐领域市场发展的主要障碍。这种衝突造成了动盪的营运环境，自动化工作流程的采用遭遇了有组织的反对，导致合约纠纷、潜在罢工以及严重的法律模糊性。儘管製片公司寻求采用这些工具来降低成本，但工会却日益要求更严格的监管和劳动保护，这延缓了技术的采用进程，并限制了对市场发展至关重要的AI技术的广泛应用。

预期的大规模失业加剧了这种抵制情绪，令相关人员对声誉受损和业务中断感到担忧，从而引发犹豫。 2024年，动画工会报告称，到2026年，美国约有21.4%的电影、电视和动画工作预计将被生成式人工智慧技术整合、取代或淘汰。这种严峻的前景凸显了劳动市场的不确定性，迫使企业放缓投资步伐，并应对复杂的谈判，这直接阻碍了生成式人工智慧在产业内的平稳发展和整合。

市场趋势

人工智慧驱动的在地化和配音技术的普及正在从根本上改变内容分发方式，使工作室能够透过快速的语言适配同时实现全球市场的盈利。这一趋势利用神经网路生成在地化音频，保留原说话者的语调，有效消除国际观众的语言障碍。与需要漫长区域性发布流程的传统方式不同，这些自动化解决方案能够实现全球同步发布，显着扩大数位资产的潜在受众。商业性影响力巨大。根据 YouTube 于 2025 年 9 月发布的公告“将多语言音频功能扩展至数百万创作者”，采用人工智能多语言工具的创作者发现，超过 25% 的总观看时长来自非母语影片，这充分展现了自动化本地化对跨境受众获取的显着影响。

同时，内容溯源和浮水印标准已成为解决日益增长的内容真实性和数位认证问题的关键机制。随着生成模型的日益普及，业界正围绕C2PA等开放技术标准达成共识，透过加密方式将身分和编辑历史绑定到媒体资产，从而检验数位内容的来源。随着相关人员寻求降低合成篡改的风险，这项透明的管治措施正迅速获得认可。根据内容真实性倡议（CAI）2025年8月发布的报告《5000名成员：建立更值得信赖的数位世界》，该联盟已达到5000名成员的里程碑，这体现了技术和媒体相关人员为确保内容完整性和重建消费者信任而做出的共同努力。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球生成式人工智慧在媒体与娱乐产业的市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依部署类型（云端部署、本机部署）
  • 按类型（文字转图像、图像转图像、音乐生成、影片生成、3D建模与动画）
  • 按应用领域（游戏、电影和电视、广告和行销、音乐和声音製作、虚拟实境（VR）和扩增实境（AR）等）
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美媒体与娱乐产业生成式人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

7. 欧洲媒体与娱乐产业生成式人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区媒体与娱乐产业生成式人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲媒体娱乐领域生成式人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

10. 南美媒体与娱乐产业生成式人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

13. 全球媒体与娱乐领域生成式人工智慧市场：SWOT 分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• OpenAI OpCo, LLC
• Adobe Inc.
• NVIDIA Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• Baidu, Inc.
• CopyAI, Inc.
• Runway AI, Inc.
• UNITY SOFTWARE INC.
• Pimeyes

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Generative AI in Media and Entertainment Market is projected to experience substantial growth, rising from USD 1,930.11 Million in 2025 to USD 7,973.05 Million by 2031, reflecting a CAGR of 26.67%. This sector involves sophisticated machine learning algorithms, such as large language models and neural networks, capable of autonomously generating text, audio, visual assets, and virtual performances. The market is primarily driven by the financial necessity to lower increasing production costs and the growing consumer appetite for hyper-personalized content that demands scalable, high-volume output. Additionally, the need to expedite complex post-production processes acts as a fundamental structural driver, encouraging studios to adopt these technologies to optimize resource management and shorten the time required to bring digital properties to market.

However, the swift adoption of these technologies encounters significant hurdles regarding workforce displacement and ethical concerns, leading to tension between labor unions and technology implementers. This disruption threatens industry stability and has sparked specific fears regarding job security. Data from the Animation Guild in 2024 indicates that 75% of surveyed entertainment industry leaders acknowledged that generative AI tools had already facilitated the elimination, reduction, or consolidation of roles within their organizations. Consequently, the challenge of balancing operational efficiency with labor sustainability remains a critical barrier to the market's seamless expansion.

Market Driver

The urgent need for cost-efficient and rapid content production serves as a major catalyst for market growth, pushing studios to automate labor-intensive tasks such as asset creation, script analysis, and post-production editing. This operational shift is rooted in a structural economic mandate to maximize resource efficiency as production houses encounter tighter budgets and abbreviated release timelines for digital streaming platforms. By employing algorithmic tools, companies can significantly cut the man-hours needed for rendering and iteration, thereby speeding up the time-to-market for complex visual projects. According to the 'Unity Gaming Report 2024' released in March 2024, 62% of surveyed studios have adopted AI solutions specifically to enhance their operational workflows, underscoring the broad reliance on these tools to sustain economic competitiveness.

Concurrently, the expansion of AI-driven interactive gaming and immersive environments is transforming the consumption landscape by facilitating dynamic storytelling and responsive virtual ecosystems. Developers are increasingly utilizing generative models to produce endless procedural content and intelligent non-player characters that adapt in real-time, boosting player engagement without exponentially increasing development costs. This technological integration enables the creation of deep, personalized experiences that were previously unscalable manually. As noted in the '2024 State of the Game Industry' report by the Game Developers Conference (GDC) in January 2024, 49% of developers reported utilizing generative AI tools in their workplaces. This momentum extends to media monetization, with the Interactive Advertising Bureau (IAB) reporting in 2024 that 91% of advertising professionals are currently using or piloting generative AI to refine their marketing strategies.

Market Challenge

The pervasive issue of workforce displacement and the resulting friction between labor organizations and technology adopters stands as a primary obstacle to the growth of the Global Generative AI in Media and Entertainment Market. This conflict creates a precarious operational environment where the implementation of automated workflows faces organized opposition, leading to contract disputes, potential strikes, and significant legal ambiguity. As studios attempt to deploy these tools to reduce costs, unions are increasingly demanding stringent regulations and employment protections, which delay implementation schedules and restrict the scalable adoption of AI technologies essential for market development.

The scale of projected job losses has intensified this resistance, causing hesitation among industry stakeholders who fear reputational damage and operational disruption. The Animation Guild reported in 2024 that approximately 21.4% of film, television, and animation jobs in the United States were projected to be consolidated, replaced, or eliminated by generative AI technologies by 2026. This severe forecast underscores the instability facing the labor market, forcing companies to decelerate their investment strategies and navigate complex negotiations, thereby directly impeding the unimpeded growth and integration of generative AI within the sector.

Market Trends

The mainstream adoption of AI-driven localization and dubbing is fundamentally transforming content distribution by allowing studios to monetize global markets simultaneously through rapid linguistic adaptation. This trend utilizes neural networks to synthesize localized audio that retains the original speaker's intonation, effectively eliminating linguistic barriers for international audiences. Unlike traditional workflows that require prolonged timelines for regional releases, these automated solutions enable simultaneous global launches, significantly expanding the addressable audience for digital properties. The commercial impact is substantial; according to YouTube's 'Expanding Multi-Language Audio to Millions of Creators' announcement in September 2025, creators employing AI-powered multilingual tools observed that over 25% of their total watch time originated from views in the video's non-primary language, demonstrating the power of automated localization in capturing cross-border viewership.

Simultaneously, the establishment of content provenance and watermarking standards has emerged as a critical mechanism to address escalating concerns regarding deepfakes and digital authenticity. As generative models proliferate, the industry is coalescing around open technical standards, such as C2PA, to cryptographically bind identity and editing history to media assets, thereby verifying the origin of digital content. This push for transparent governance is witnessing rapid adoption as stakeholders seek to mitigate the risks of synthetic manipulation. According to the Content Authenticity Initiative's August 2025 report, '5,000 members: building momentum for a more trustworthy digital world,' the coalition reached a milestone of 5,000 members, reflecting a unified commitment among technology and media stakeholders to secure content integrity and restore consumer trust.

Key Market Players

• OpenAI OpCo, LLC
• Adobe Inc.
• NVIDIA Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• Baidu, Inc.
• CopyAI, Inc.
• Runway AI, Inc.
• UNITY SOFTWARE INC.
• Pimeyes

Report Scope

In this report, the Global Generative AI in Media and Entertainment Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Generative AI in Media and Entertainment Market, By Deployment

• Cloud-Based
• On-Premises

Generative AI in Media and Entertainment Market, By Type

• Text-to-Image Generation
• Image-to-Image Generation
• Music Generation
• Video Generation
• 3D Modeling & Animation

Generative AI in Media and Entertainment Market, By Application

• Gaming
• Film & Television
• Advertising & Marketing
• Music & Sound Production
• Virtual Reality & Augmented Reality
• Others

Generative AI in Media and Entertainment Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Generative AI in Media and Entertainment Market.

Available Customizations:

Global Generative AI in Media and Entertainment Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Generative AI in Media and Entertainment Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Deployment (Cloud-Based, On-Premises)
  • 5.2.2. By Type (Text-to-Image Generation, Image-to-Image Generation, Music Generation, Video Generation, 3D Modeling & Animation)
  • 5.2.3. By Application (Gaming, Film & Television, Advertising & Marketing, Music & Sound Production, Virtual Reality & Augmented Reality, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Generative AI in Media and Entertainment Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Deployment
  • 6.2.2. By Type
  • 6.2.3. By Application
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Generative AI in Media and Entertainment Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Deployment
      • 6.3.1.2.2. By Type
      • 6.3.1.2.3. By Application
  • 6.3.2. Canada Generative AI in Media and Entertainment Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Deployment
      • 6.3.2.2.2. By Type
      • 6.3.2.2.3. By Application
  • 6.3.3. Mexico Generative AI in Media and Entertainment Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Deployment
      • 6.3.3.2.2. By Type
      • 6.3.3.2.3. By Application

7. Europe Generative AI in Media and Entertainment Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Deployment
  • 7.2.2. By Type
  • 7.2.3. By Application
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Generative AI in Media and Entertainment Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Deployment
      • 7.3.1.2.2. By Type
      • 7.3.1.2.3. By Application
  • 7.3.2. France Generative AI in Media and Entertainment Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Deployment
      • 7.3.2.2.2. By Type
      • 7.3.2.2.3. By Application
  • 7.3.3. United Kingdom Generative AI in Media and Entertainment Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Deployment
      • 7.3.3.2.2. By Type
      • 7.3.3.2.3. By Application
  • 7.3.4. Italy Generative AI in Media and Entertainment Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Deployment
      • 7.3.4.2.2. By Type
      • 7.3.4.2.3. By Application
  • 7.3.5. Spain Generative AI in Media and Entertainment Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Deployment
      • 7.3.5.2.2. By Type
      • 7.3.5.2.3. By Application

8. Asia Pacific Generative AI in Media and Entertainment Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Deployment
  • 8.2.2. By Type
  • 8.2.3. By Application
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Generative AI in Media and Entertainment Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Deployment
      • 8.3.1.2.2. By Type
      • 8.3.1.2.3. By Application
  • 8.3.2. India Generative AI in Media and Entertainment Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Deployment
      • 8.3.2.2.2. By Type
      • 8.3.2.2.3. By Application
  • 8.3.3. Japan Generative AI in Media and Entertainment Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Deployment
      • 8.3.3.2.2. By Type
      • 8.3.3.2.3. By Application
  • 8.3.4. South Korea Generative AI in Media and Entertainment Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Deployment
      • 8.3.4.2.2. By Type
      • 8.3.4.2.3. By Application
  • 8.3.5. Australia Generative AI in Media and Entertainment Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Deployment
      • 8.3.5.2.2. By Type
      • 8.3.5.2.3. By Application

9. Middle East & Africa Generative AI in Media and Entertainment Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Deployment
  • 9.2.2. By Type
  • 9.2.3. By Application
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Generative AI in Media and Entertainment Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Deployment
      • 9.3.1.2.2. By Type
      • 9.3.1.2.3. By Application
  • 9.3.2. UAE Generative AI in Media and Entertainment Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Deployment
      • 9.3.2.2.2. By Type
      • 9.3.2.2.3. By Application
  • 9.3.3. South Africa Generative AI in Media and Entertainment Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Deployment
      • 9.3.3.2.2. By Type
      • 9.3.3.2.3. By Application

10. South America Generative AI in Media and Entertainment Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Deployment
  • 10.2.2. By Type
  • 10.2.3. By Application
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Generative AI in Media and Entertainment Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Deployment
      • 10.3.1.2.2. By Type
      • 10.3.1.2.3. By Application
  • 10.3.2. Colombia Generative AI in Media and Entertainment Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Deployment
      • 10.3.2.2.2. By Type
      • 10.3.2.2.3. By Application
  • 10.3.3. Argentina Generative AI in Media and Entertainment Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Deployment
      • 10.3.3.2.2. By Type
      • 10.3.3.2.3. By Application

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Generative AI in Media and Entertainment Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. OpenAI OpCo, LLC
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Adobe Inc.
• 15.3. NVIDIA Corporation
• 15.4. IBM Corporation
• 15.5. Amazon Web Services, Inc.
• 15.6. Baidu, Inc.
• 15.7. CopyAI, Inc.
• 15.8. Runway AI, Inc.
• 15.9. UNITY SOFTWARE INC.
• 15.10. Pimeyes

16. Strategic Recommendations

17. About Us & Disclaimer