查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1557256

廣播和娛樂製作中的人工智慧市場 - 2024 年至 2029 年預測

AI in Broadcasting and Entertainment Production Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

廣播和娛樂製作市場中的人工智慧預計到 2029 年將達到 1,126.63 億美元，預測期內複合年成長率為 28.75%，而 2024 年為 318.4 億美元。

人工智慧 (AI) 透過提供更好的工具和技術正在徹底改變廣播和娛樂製作。好處包括提高熟練程度、提高內容品質、個人化內容傳送、資料主導的體驗以及潛在的成本節省。隨著人工智慧技術的進步，更多的創新應用預計將塑造廣播和娛樂製作的長期格局，刺激市場擴張。

此外，人工智慧將透過簡化動畫和視覺效果以及自動化重複任務來改變工作流程。深度學習程式能夠創造簡化的特效、動畫和重演，從而升級視覺敘事體驗。人工智慧透過為觀眾創造身臨其境且具有視覺吸引力的體驗，滿足了對視覺品質和整體製作精神的強烈渴望。此外，根據加拿大廣播電視和通訊委員會的公告，每週觀看電視的時間從 2021 年的 5.06 億小時增加到 2022 年的 6.85 億小時。

傳統電視網路依賴人工智慧來分析內容庫、識別模式和個人化內容。人工智慧主導的調度和建議可實現個人化、按需體驗，人工智慧可自動執行內容標記和分類分配。即時分析可以為廣播公司提供有關觀眾模式和人口統計數據的資訊，使他們能夠最佳化節目安排和資產分配，從而可能節省成本。

廣播和娛樂製作中的人工智慧市場驅動力

  • 人工智慧助理的興起和觀眾參與度預計將推動人工智慧在廣播和娛樂製作人工智慧市場的成長。

人工智慧廣泛應用於各種應用中，例如Alexa和Google Assistant等人工智慧助手，廣泛應用於家庭中的各種用途。它們與娛樂平台整合，允許客戶使用語音命令搜尋內容、控制播放並向用戶推薦內容。此外，對人工智慧的投資資助研究團隊開發新演算法並改進現有技術。

這項預測將確保各行業使用更有效、自動化和資料主導的程式為不同的企業創建創新的人工智慧解決方案。此外，隨著人工智慧的存在增加，內容創作和生產等領域對其使用的需求也隨之增加，從而增加了人工智慧產品和服務的市場佔有率。

此外，知名投資銀行、投資管理和經紀公司高盛預計，2024年全球人工智慧投資額將約為1,321.2億美元，其中美國和中國貢獻最大。 2024年美國預計在人工智慧領域投資681.4億美元，中國預計投資246.6億美元。

廣播和娛樂製作領域人工智慧市場的地理格局

  • 加拿大地區預計將佔據主要市場佔有率

由於連網型設備的快速採用和 OTT 平台使用的Over-the-Top，加拿大廣播和娛樂製作市場中的人工智慧預計將在預測期內顯著成長。這些 OTT 公司正在使用人工智慧進行預測分析、專案推薦、旅程地圖和受眾細分，以幫助改善客戶體驗。網路普及率的提高是推動國內OTT平台市場的關鍵因素之一。例如，根據加拿大政府的統計，到2022年，加拿大15歲以上人口中95%的人將能夠上網，而2020年這一比例為92%。

加拿大政府增加對加拿大人工智慧市場的投資預計將對預測期內加拿大廣播和娛樂製作市場的人工智慧產生積極影響。例如，2024年4月，在即將發布的2024年預算中，為加拿大的人工智慧優勢實施了24億美元的投資。這項投資旨在透過幫助研究人員和企業採用和促進人工智慧的使用來促進加拿大人工智慧領域的發展並提高生產力。其中，2億美元將用於醫療保健、農業、乾淨科技和製造等各領域的人工智慧實施。因此，加拿大對人工智慧的投資增加預計將在未來幾年推動市場成長。

根據加拿大政府人工智慧（AI）計算磋商會的數據，加拿大是以其人工智慧生態系統而聞名的國家之一。超過1500家公司正在開發AI解決方案，全球頂尖研究人員中有10%位居全球第二。微軟在 2024 年發布的一份新報告顯示，到 2030 年，生成Accenture人工智慧將為加拿大經濟每年帶來高達1,870 億美元的勞動生產力收益，而到2030 年，工人每年將獲得1,250 億美元的勞動生產率收益。因此，隨著人工智慧的進步，加拿大廣播和娛樂領域的人工智慧市場預計在未來幾年將會成長。

我國的廣播電視事業正在崛起。人工智慧在該行業的使用預計將在預測期內推動它們的發展。例如，根據加拿大廣播電視和通訊委員會的數據，2022年傳統電視收入為14.97億美元，比上年的14.24億美元成長5%。 2022年全權電視服務收入為40.92億美元，與前一年同期比較成長3%。 2021 年收入為 39.59 億美元。因此，在預測期內，不斷成長的廣播產業預計將成為加拿大廣播和娛樂製作市場人工智慧的一個巨大的人工智慧終端用戶產業。

廣播和娛樂市場的主要參與企業

  • Veritone Inc. - Veritone Inc. 提供臉部辨識、自然語言處理和識別技術來識別標誌、螢幕文字和其他可識別資產。 Veritone Discovery 由 aiWARETM 提供支持，可讓您快速、輕鬆地近乎即時地搜尋大量媒體庫、錄製的節目和直播。
  • 瓦羅薩-瓦羅薩開發了一個人工智慧平台，可以像人類一樣理解影片，並擁有強大的分析引擎，可以分析影片中所說、看到和聽到的所有內容。 Valossa 的 AI 超越了傳統視覺識別系統的功能，透過結合所有內容資料（包括人物、語音、音訊、情感和視覺實體），提供有史以來最全面的影像理解。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章廣播娛樂製作中的人工智慧市場：依技術分類

  • 介紹
  • 機器學習
  • 深度學習

第6章廣播和娛樂製作中的人工智慧市場：按解決方案

  • 介紹
  • 硬體
  • 軟體/服務

第7章廣播娛樂製作中的人工智慧市場：按應用分類

  • 介紹
  • 內容製作
  • 內容傳送
  • 生產後
  • 其他

第8章廣播和娛樂製作中的人工智慧市場：按最終用戶分類

  • 介紹
  • 廣播電視網
  • 有線電視網路

第9章廣播娛樂製作中的人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 依技術
    • 按解決方案
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 依技術
    • 按解決方案
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 依技術
    • 按解決方案
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 依技術
    • 按解決方案
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 依技術
    • 按解決方案
    • 按用途
    • 按最終用戶
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 新興參與企業和巨大的盈利
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • Amazon Web Services, Inc.
  • Veritone, Inc.
  • GrayMeta, Inc.
  • Valossa Labs Ltd.
  • IBM Corporation
  • Advanced Micro Devices, Inc.
  • Netflix
  • Microsoft
  • Meta
  • Nvidia
  • Sportway AB
  • Pixellot
簡介目錄
Product Code: KSI061617086

The AI in broadcasting and entertainment production market is projected to grow at a CAGR of 28.75% over the forecast period, from US$31.840 billion in 2024, and is expected to reach US$112.663 billion by 2029.

Artificial Intelligence (AI) is revolutionizing broadcasting and entertainment production by offering brilliant tools and methods. Benefits incorporate expanded proficiency, upgraded content quality, personalized content delivery, data-driven experiences, and potential cost savings. As AI technology advances, more innovative applications will shape the long-term of broadcasting and entertainment production, fueling market expansion.

Moreover, increased AI utilization for streamlining animation, visual effects, and altering workflows by automating repetitive assignments. Deep learning procedures empower the creation of reasonable special effects, animation, and recreations, upgrading the visual storytelling encounter. AI meets strong desires for visual quality and overall production esteem by making immersive and visually stunning experiences for watchers. In addition, as per the Canada Radio-television and Telecommunications Commission, the per week television viewership increased from 506 million hours in 2021 per week, which grew to 685 million hours per week in 2022.

Traditional TV networks utilize AI to analyze content libraries, identify patterns, and personalize content. AI-driven scheduling and recommendations can make personalized on-demand experiences, whereas AI automates content tagging and categorization assignments. Real-time analytics give broadcasters information on viewership patterns and demographics, empowering optimization of programming schedules and asset assignment and possibly driving cost savings.

AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET DRIVERS:

  • The rise in AI-powered assistants and audience engagement is anticipated to boost AI in the broadcasting and entertainment production market's growth.

AI is utilized widely in various applications, such as AI assistants like Alexa and Google Assistant, which are widely used in households for different purposes. These are integrated with entertainment platforms, allowing their customers to use voice commands for content search and playback control and recommending content to their users. Moreover, investment in AI funds research teams to create new algorithms and improve existing technologies, resulting in more effective and versatile AI capabilities as the audience engages more in using AI.

This prediction ensures industries create innovative AI solutions for diverse businesses using more effective, automated, and data-driven procedures. Further, since AI presence has risen, the necessity for AI usage in sectors such as content creation and production is making a larger share of the market for AI products and services.

In addition, Goldman Sachs, a well-known investment banking, investment management, and securities firm, forecasts that the world's AI investment will be about US$132.12 billion in 2024, with the United States and China being the largest contributors to this increment. The United States is predicted to spend US$68.14 billion on artificial intelligence, while China is expected to invest US$24.66 billion in 2024.

AI in Broadcasting and Entertainment Production Market Geographical Outlook

  • Canada region is anticipated to have a significant market share.

The Canadian market for AI in broadcasting and entertainment production is anticipated to grow significantly in the projected period, owing to the rising swiftness in connected devices and the increasing use of over-the-top (OTT) platforms. These OTT companies use AI for predictive analysis, recommendations for shows, journey mapping, and audience segmentation, which helps enhance the customer experience. The increasing internet penetration is one of the major reasons fueling the market for these OTT platforms in the country. For instance, according to the Government of Canada statistics, in 2022, 95% of the Canadian population aged more than 15 years had internet access, whereas in 2020, this statistic was 92% people.

The increasing investment in the Canadian AI market by the country's government is expected to positively impact AI in Canada's broadcasting and entertainment production market in the projected period. For instance, in April 2024, an investment of US$2.4 billion was implemented in the upcoming Budget 2024 for Canada's AI advantage. This investment aims to boost Canada's AI sector and increase productivity by helping researchers and businesses adopt AI and ensure smooth usage. Of this investment, US$200 million will be invested in deploying AI in various sectors such as healthcare, agriculture, clean technology, and manufacturing. Hence, increased investment in AI in Canada is anticipated to propel market growth in the coming years.

According to the Government of Canada Consultation on Artificial Intelligence (AI) Compute, Canada is one of the renowned countries in the AI ecosystem. Over 1,500 companies are developing AI solutions, and 10% of the world's top-tier researchers are second globally. According to a new report from Microsoft, conducted by Accenture, launched in 2024, Generative AI can add a whopping US$187 billion annually to the Canadian economy in labor productivity gains by 2030 and help workers save more than 125 hours per year. Hence, with such increasing development in AI, the market for Canadian AI in broadcasting and entertainment is expected to grow in the coming years.

The broadcasting and television industry is increasing in the country. In the projected period, the use of artificial intelligence in this industry is anticipated to propel them. For instance, according to the Canada Radio-television and Telecommunications Commission, the conventional television sector revenue in 2022 was US$1,497 million, which was a 5% increase over the previous year, when the revenue was US$1,424 million. The discretionary television service revenue in 2022 was US$4,092 million, an increase of 3% compared to the previous year. In 2021, the revenue was US$3,959 million. Hence, the increasing broadcasting industry is anticipated to act as a huge end-user industry for Canada's AI in the broadcasting and entertainment production market in the projected period.

AI in Broadcasting and Entertainment Market Key Players:

  • Veritone Inc.- Veritone provides face recognition, natural language processing, and recognition technology for identifying logos, on-screen text, and other identifiable assets. Veritone Discovery, powered by aiWARETM, enables you to quickly and easily search through massive media libraries, pre-recorded shows, and live broadcasts in almost real-time.
  • Valossa- Valossa developed an Artificial Intelligence platform that understands video as a human would, analyzing everything said, seen, and heard in a video with a powerful analysis engine. Beyond the capabilities of conventional visual recognition systems, Valossa AI creates the most comprehensive understanding of video to date by combining all of the content data, including people, speech, sounds, emotions, and visual entities.

Market Segmentation:

AI In the Broadcasting and Entertainment Production Market is segmented and analyzed as below:

By Technology

  • Machine Learning
  • Deep Learning

By Solution

  • Hardware
  • Software/Services

By Application

  • Content Production
  • Content Distribution
  • Post-production
  • Others

By End-User

  • Broadcast TV networks
  • Cable TV networks

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst view

5. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Deep Learning

6. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY SOLUTION

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software/Services

7. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Content Production
  • 7.3. Content Distribution
  • 7.4. Post-production
  • 7.5. Others

8. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY END-USER

  • 8.1. Introduction
  • 8.2. Broadcast TV networks
  • 8.3. Cable TV networks

9. AI IN BROADCASTING AND ENTERTAINMENT PRODUCTION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Technology
    • 9.2.2. By Solution
    • 9.2.3. By Application
    • 9.2.4. By End-User
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Technology
    • 9.3.2. By Solution
    • 9.3.3. By Application
    • 9.3.4. By End-User
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Technology
    • 9.4.2. By Solution
    • 9.4.3. By Application
    • 9.4.4. By End-User
    • 9.4.5. By Country
      • 9.4.5.1. Germany
      • 9.4.5.2. France
      • 9.4.5.3. United Kingdom
      • 9.4.5.4. Italy
      • 9.4.5.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Technology
    • 9.5.2. By Solution
    • 9.5.3. By Application
    • 9.5.4. By End-User
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Technology
    • 9.6.2. By Solution
    • 9.6.3. By Application
    • 9.6.4. By End-User
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Taiwan
      • 9.6.5.6. Thailand
      • 9.6.5.7. Indonesia
      • 9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Markey Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Amazon Web Services, Inc.
  • 11.2. Veritone, Inc.
  • 11.3. GrayMeta, Inc.
  • 11.4. Valossa Labs Ltd.
  • 11.5. IBM Corporation
  • 11.6. Advanced Micro Devices, Inc.
  • 11.7. Netflix
  • 11.8. Microsoft
  • 11.9. Meta
  • 11.10. Nvidia
  • 11.11. Sportway AB
  • 11.12. Pixellot