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市場調查報告書
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1953393

媒體與娛樂產業人工智慧/機器學習市場－全球產業規模、佔有率、趨勢、機會與預測：按解決方案、應用、最終用戶、地區和競爭對手分類，2021-2031年

AI/ML in Media and Entertainment Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Solutions, By Application, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球媒體和娛樂領域的 AI/ML 市場預計將從 2025 年的 241.9 億美元大幅成長到 2031 年的 1,086.1 億美元，複合年成長率為 28.44%。

該市場涵蓋旨在實現內容創作自動化、最佳化分發流程並透過預測分析提供個人化觀看體驗的先進運算系統。推動成長的關鍵因素包括對客製化內容提案需求的激增，以及在製作成本不斷上漲的情況下提高營運效率的迫切需求。此外，生成式人工智慧的應用將加速視覺特效和劇本創作等創造性任務，使媒體公司能夠最佳化供應鏈並大幅節省資源。

市場概覽
預測期 2027-2031
市場規模：2025年 241.9億美元
市場規模：2031年 1086.1億美元
複合年成長率：2026-2031年 28.44%
成長最快的細分市場 生產計畫與管理
最大的市場 北美洲

然而，自動化內容的可靠性和準確性在業界面臨嚴峻挑戰，這威脅到編輯標準和品牌聲譽。演算法導致的錯誤和誤導性資訊是廣播公司和出版商最關注的問題，因為他們對準確性有極高的要求。例如，歐洲廣播聯盟 (EBU) 的一項 2025 年研究發現，新聞應用中 45% 的人工智慧產生回覆至少包含一個重大錯誤。這種可靠性差距使得嚴格的人工審核勢在必行，而這反過來又減緩了自主系統的普及，並阻礙了整體市場成長。

市場促進因素

生成式人工智慧與創新內容創作的快速融合，正透過自動化劇本創作、視覺特效與在地化等複雜流程，重塑媒體供應鏈。這項技術進步使工作室能夠縮短製作週期、最佳化資源配置，並逐步從實驗階段邁向全面應用。根據Google雲端2025年9月發布的報告《生成式人工智慧在媒體和娛樂領域的投資報酬率》，72%的媒體高層已從這些舉措中獲得了可觀的收益。隨著這些工具的不斷發展，創作者能夠以更低的成本產生高品質的素材，從而滿足業界對可擴展內容創作的需求，同時減輕財務負擔。

同時，透過預測性受眾分析最佳化定向廣告，使平台能夠提供高度個人化的觀看體驗，從而顯著提升收入。廣告商正利用機器學習和分析大量使用者行為數據，確保商業內容精準觸達特定族群。這種效率已在財務表現中得到充分體現；根據互動廣告局 (IAB) 2025 年 4 月發布的《網際網路廣告收入報告》，2024 年數位廣告收入達到創紀錄的 2586 億美元，這主要得益於人工智慧驅動的個人化和衡量技術。隨著消費者行為模式的改變，這種變現能力至關重要。路透社新聞研究所 2025 年 6 月發布的《數位新聞報告》顯示，15% 的 25 歲以下消費者將人工智慧助理作為其主要新聞來源，凸顯了製定適應性策略的必要性。

市場挑戰

人工智慧/機器學習在媒體和娛樂領域的應用面臨著自動化內容生成可靠性和事實準確性的重大挑戰。由於媒體公司高度依賴維護品牌信譽和公眾信任，演算法產生的錯誤和誤導性資訊的傳播構成了重大風險。目前的生成模型可能會產生誤導性或不準確的敘事，因此需要實施嚴格的人工審核。這種人工檢驗的需求削弱了預期的效率提升和成本降低，實際上阻礙了這些技術融入核心製作流程。

因此，聲譽受損的風險阻礙了廣播公司和出版商將自動化系統用於一般消費者用途。受眾對機器生成媒體可信度的懷疑進一步加劇了這種顧慮。路透社新聞研究所的數據顯示，2024年，52%的美國受訪者表示對主要由人工智慧產生的新聞感到不安，原因是擔心其準確性和虛假資訊。這種消費者信任的缺失阻礙了市場向高價值自動化內容傳送的擴展，並將人工智慧的應用限制在低風險的行政任務上。

市場趨勢

電子遊戲開發中自適應NPC（非玩家角色）智慧的興起，標誌著從靜態腳本到動態響應實體的重大轉變，從而增強了玩家的沉浸感。開發者擴大運用機器學習技術來建構虛擬世界，使NPC具備自主決策能力和逼真的社交互動，無需大量手動編碼即可創造更自然且不可預測的環境。隨著遊戲工作室努力提升遊戲的可玩性和玩家參與度，這一趨勢正愈演愈烈。根據Unity於2024年3月發布的《Unity遊戲報​​告2024》，64%使用人工智慧進行世界建構的開發者專門利用這些工具來創建和放置NPC。

同時，人工智慧驅動的體育賽事精彩集錦自動生成技術的部署，正在改變廣播公司捕捉和向行動優先受眾提供直播內容的方式。透過利用電腦視覺演算法即時識別進球、籃球比賽和觀眾反應等關鍵時刻，版權所有擁有者可以自動編輯和格式化影片片段，以便即時共用社群媒體，從而顯著降低傳統編輯方式固有的延遲。這項創新滿足了TikTok和Instagram等平台對快速、短影片內容的需求。根據WSC Sports在2024年12月發布的報告，受行動端最佳化觀看體驗日益成長的需求推動，人工智慧生成的垂直螢幕影片精彩集錦的製作量同比成長了81%。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球媒體與娛樂產業人工智慧/機器學習市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按解決方案（硬體、服務）
    • 依應用領域（遊戲、假新聞偵測、抄襲偵測、個人化、生產計畫與管理、銷售與行銷、人才招募、內容擷取等）
    • 依最終用戶（電影/電視、音樂、運動、媒體機構等）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美媒體與娛樂產業人工智慧/機器學習市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲媒體與娛樂產業人工智慧/機器學習市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區媒體與娛樂產業的AI/ML市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲媒體娛樂產業的AI/ML市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美媒體與娛樂產業的AI/ML市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球媒體與娛樂產業人工智慧/機器學習市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • NVIDIA Corporation
  • Adobe Inc.
  • Synthesia Ltd
  • Veritone, Inc.
  • Sony Corporation
  • Oracle Corporation

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24751

The Global AI and ML in Media and Entertainment Market is projected to expand significantly, rising from USD 24.19 Billion in 2025 to USD 108.61 Billion by 2031, reflecting a CAGR of 28.44%. This market encompasses sophisticated computational systems engineered to automate content creation, refine distribution processes, and provide personalized viewing experiences via predictive analytics. Growth is chiefly driven by the surging demand for customized content suggestions and the imperative to enhance operational efficiency amid escalating production expenses. Additionally, the adoption of generative AI is fast-tracking creative tasks like visual effects and scriptwriting, allowing media entities to optimize supply chains and achieve substantial resource savings.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 24.19 Billion
Market Size 2031USD 108.61 Billion
CAGR 2026-203128.44%
Fastest Growing SegmentProduction Planning & Management
Largest MarketNorth America

However, the industry encounters a major obstacle concerning the dependability and precision of automated outputs, which poses a threat to editorial standards and brand standing. The occurrence of algorithm-induced inaccuracies or hallucinations is a distinct worry for broadcasters and publishers who demand exactness. For instance, a 2025 study by the European Broadcasting Union found that 45% of AI-generated responses in news applications contained at least one major error. This reliability gap necessitates rigorous human supervision, consequently delaying the widespread deployment of autonomous systems and hindering broader market growth.

Market Driver

The swift integration of generative AI into creative content production is transforming the media supply chain by automating intricate processes such as scriptwriting, visual effects, and localization. This technological evolution enables studios to shorten production cycles and optimize resource allocation, transitioning from experimental phases to comprehensive implementation. According to Google Cloud's September 2025 report, 'ROI of Gen AI in Media and Entertainment,' 72% of media executives report that their companies are already achieving compounding returns from these initiatives. As these tools advance, they allow creators to generate high-quality assets at significantly lower costs, meeting the industry's demand for scalable content creation while alleviating financial strains.

Concurrently, the refinement of targeted advertising through predictive audience analytics is fueling major revenue growth by enabling platforms to offer highly personalized viewer experiences. Advertisers are increasingly using machine learning to parse extensive user behavior data, ensuring commercial content reaches specific demographics with great accuracy. This efficiency is highlighted by financial results; the Interactive Advertising Bureau's 'Internet Advertising Revenue Report' from April 2025 noted that digital ad revenue reached a record $258.6 billion in 2024, driven largely by AI-powered personalization and measurement. This ability to monetize is vital as consumption patterns shift; the Reuters Institute's 'Digital News Report' from June 2025 reveals that 15% of consumers under 25 now rely on AI assistants as their main news source, underscoring the need for adaptive strategies.

Market Challenge

The Global AI and ML in Media and Entertainment Market encounters a substantial hurdle regarding the dependability and factual correctness of automated content creation. Media entities rely heavily on sustaining brand credibility and public confidence, making the dissemination of algorithmically generated errors or hallucinations a significant risk. Since current generative models can produce misleading or incorrect narratives, organizations must implement rigorous human oversight layers. This necessity for manual verification undermines the expected efficiency improvements and cost savings, effectively stalling the incorporation of these technologies into essential production workflows.

As a result, the risk of reputational harm curbs the enthusiasm of broadcasters and publishers to utilize autonomous systems for public-facing uses. This reluctance is bolstered by audience skepticism concerning the authenticity of machine-generated media. According to the Reuters Institute for the Study of Journalism, in 2024, 52% of U.S. respondents expressed discomfort with news primarily produced by AI, citing concerns over accuracy and misinformation. This lack of consumer trust prevents the market from expanding into high-value automated content distribution, restricting AI application to lower-risk administrative tasks.

Market Trends

The rise of adaptive non-player character (NPC) intelligence in video game development marks a significant transition from static scripts to dynamic, reactive entities that enhance player immersion. Developers are increasingly applying machine learning to populate virtual worlds with NPCs that possess autonomous decision-making capabilities and realistic social interactions, creating more organic and unpredictable environments without the need for exhaustive manual coding. This trend is gaining momentum as studios aim to boost replayability and engagement; according to Unity's 'Unity Gaming Report 2024' released in March 2024, 64% of developers using AI for world-building now employ these tools specifically to create and populate NPCs.

At the same time, the deployment of AI-driven automated sports highlight generation is transforming how broadcasters capture and distribute live content to mobile-first audiences. By utilizing computer vision algorithms that instantly recognize key moments like goals, baskets, or crowd reactions, rights holders can automatically edit and format clips for immediate social media sharing, drastically cutting the delay inherent in traditional editing. This innovation meets the demand for rapid, short-form content on platforms such as TikTok and Instagram; WSC Sports reported in December 2024 that the production of AI-generated vertical video highlights increased by 81% year-over-year, driven by the growing appetite for mobile-optimized viewing.

Key Market Players

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • NVIDIA Corporation
  • Adobe Inc.
  • Synthesia Ltd
  • Veritone, Inc.
  • Sony Corporation
  • Oracle Corporation

Report Scope

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

AI and ML in Media and Entertainment Market, By Solutions

  • Hardware
  • Services

AI and ML in Media and Entertainment Market, By Application

  • Gaming
  • Fake Story Detection
  • Plagiarism Detection Personalization
  • Production Planning & Management
  • Sales & Marketing
  • Talent Identification
  • Content Capture
  • Others

AI and ML in Media and Entertainment Market, By End User

  • Film and Television
  • Music
  • Sports
  • Media Agencies
  • Others

AI and ML 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 AI and ML in Media and Entertainment Market.

Available Customizations:

Global AI and ML 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 AI and ML 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 Solutions (Hardware, Services)
    • 5.2.2. By Application (Gaming, Fake Story Detection, Plagiarism Detection Personalization, Production Planning & Management, Sales & Marketing, Talent Identification, Content Capture, Others)
    • 5.2.3. By End User (Film and Television, Music, Sports, Media Agencies, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America AI and ML 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 Solutions
    • 6.2.2. By Application
    • 6.2.3. By End User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States AI and ML 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 Solutions
        • 6.3.1.2.2. By Application
        • 6.3.1.2.3. By End User
    • 6.3.2. Canada AI and ML 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 Solutions
        • 6.3.2.2.2. By Application
        • 6.3.2.2.3. By End User
    • 6.3.3. Mexico AI and ML 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 Solutions
        • 6.3.3.2.2. By Application
        • 6.3.3.2.3. By End User

7. Europe AI and ML 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 Solutions
    • 7.2.2. By Application
    • 7.2.3. By End User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany AI and ML 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 Solutions
        • 7.3.1.2.2. By Application
        • 7.3.1.2.3. By End User
    • 7.3.2. France AI and ML 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 Solutions
        • 7.3.2.2.2. By Application
        • 7.3.2.2.3. By End User
    • 7.3.3. United Kingdom AI and ML 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 Solutions
        • 7.3.3.2.2. By Application
        • 7.3.3.2.3. By End User
    • 7.3.4. Italy AI and ML 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 Solutions
        • 7.3.4.2.2. By Application
        • 7.3.4.2.3. By End User
    • 7.3.5. Spain AI and ML 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 Solutions
        • 7.3.5.2.2. By Application
        • 7.3.5.2.3. By End User

8. Asia Pacific AI and ML 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 Solutions
    • 8.2.2. By Application
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China AI and ML 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 Solutions
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By End User
    • 8.3.2. India AI and ML 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 Solutions
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By End User
    • 8.3.3. Japan AI and ML 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 Solutions
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By End User
    • 8.3.4. South Korea AI and ML 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 Solutions
        • 8.3.4.2.2. By Application
        • 8.3.4.2.3. By End User
    • 8.3.5. Australia AI and ML 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 Solutions
        • 8.3.5.2.2. By Application
        • 8.3.5.2.3. By End User

9. Middle East & Africa AI and ML 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 Solutions
    • 9.2.2. By Application
    • 9.2.3. By End User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia AI and ML 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 Solutions
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By End User
    • 9.3.2. UAE AI and ML 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 Solutions
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By End User
    • 9.3.3. South Africa AI and ML 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 Solutions
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By End User

10. South America AI and ML 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 Solutions
    • 10.2.2. By Application
    • 10.2.3. By End User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil AI and ML 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 Solutions
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By End User
    • 10.3.2. Colombia AI and ML 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 Solutions
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By End User
    • 10.3.3. Argentina AI and ML 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 Solutions
        • 10.3.3.2.2. By Application
        • 10.3.3.2.3. By End User

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 AI and ML 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. IBM Corporation
    • 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. Microsoft Corporation
  • 15.3. Google LLC
  • 15.4. Amazon Web Services, Inc.
  • 15.5. NVIDIA Corporation
  • 15.6. Adobe Inc.
  • 15.7. Synthesia Ltd
  • 15.8. Veritone, Inc.
  • 15.9. Sony Corporation
  • 15.10. Oracle Corporation

16. Strategic Recommendations

17. About Us & Disclaimer