表紙
市場調查報告書
商品編碼
1026862

用於媒體娛樂的人工智能 (AI) / 機器學習 (ML)

AI/ML in Media and Entertainment

出版日期: | 出版商: ABI Research | 英文 | 商品交期: 最快1-2個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

本報告分析了全球媒體和娛樂領域人工智能 (AI)/機器學習 (ML) 的用例和市場趨勢,並分析了當前的主要用途、預期效果和市場規模趨勢。未來 5 年),我們將收集和提供諸如新用例和未來技術進步將實現的潛在市場機會等信息。

本報告中提到的公司

  • Apple
  • Harmonic
  • Magisto
  • Microsoft
  • NVIDIA
  • OctoML
  • Pixability
  • ThinkAnalytics
  • Vimeo
  • YouTube

目錄

第 1 章執行摘要

第二章舞台設置

第3章AI/ML用於媒體和娛樂的用例:個性化支持、內容處理、元數據

  • 媒體元數據的自動標記
  • 通過自然語言處理自動隱藏字幕、字幕和本地化
  • 自動內容監控和合規性標記
  • 內容推薦和個性化支持
  • 個性化廣告

第 4 章 AI/ML 用於媒體和娛樂的用例:工作流程和分析

  • 內容創作
  • 用於編碼優化 (ML) 的機器學習
  • 消費者模式檢測、BI(業務分析)、分析

第 5 章 近期的新機遇

  • 上下文商務
  • XR(混合現實)/其他實現技術的未來影響

第 6 章結論和建議

目錄
Product Code: AN-5391

Actionable Benefits:

  • Identify key use cases for AI/ML in M&E, from compression efficiencies to personalization and workflow optimizations.
  • Evaluate the impact of AI/ML in M&E and assess opportunities to generate efficiencies, reduce costs, and increase yield.
  • Determine a timeline for future applications of AI/ML, enabled by upcoming technologies like XR.

Critical Questions Answered:

  • Where is AI/ML being used today in the M&E market? In what capacity and to what effect?
  • How is AI/ML helping companies adapt to the changing M&E landscape?
  • How big I the market opportunity for personalization (premium content/services and advertising) and content contextualization?

Research Highlights:

  • Detailed breakdown of key use cases for AI/ML in the M&E space.
  • Assessment of current and longer-term (beyond 5-year forecast window) market potential and impact for AI/ML in M&E.
  • Market sizing for ad tech market (total and video ad tech).
  • Market sizing for personalization and use of AI/ML in media workflows.

Who Should Read This?

  • Service and content managers responsible for maintaining (i.e. reducing churn) or growing the customer base and spend.
  • Solutions vendors who need to assess current product offerings for any shortcomings and plan for future customer needs and demands.
  • Planners within telcos and network operators who need to identify future transformative trends and its impact on the network and the needs of its customers.

Companies Mentioned:

  • Apple
  • Harmonic
  • Magisto
  • Microsoft
  • NVIDIA
  • OctoML
  • Pixability
  • ThinkAnalytics
  • Vimeo
  • YouTube

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. SETTING THE STAGE

3. AI/ML USE CASES IN M&E: PERSONALIZATION, PROCESSING CONTENT, AND METADATA

  • 3.1. Automated Media Metadata Tagging
  • 3.2. Automated Closed Captioning, Subtitling, and Localization via Natural Language Processing
  • 3.3. Automated Content Monitoring and Compliance Marking
  • 3.4. Content Recommendation and Personalization
  • 3.5. Advertisement Personalization

4. AI/ML USE CASES IN M&E: WORKFLOWS AND ANALYSIS

  • 4.1. Content Creation
  • 4.2. ML for Encoding Optimization
  • 4.3. Detection of Consumer Patterns, BI, and Analytics

5. NEW OPPORTUNITIES ON THE HORIZON

  • 5.1. Contextual Commerce
  • 5.2. Future Impact of XR and Other Enabling Technologies

6. KEY TAKEAWAYS AND RECOMMENDATIONS