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市場調查報告書
商品編碼
1570986

電影生成AI市場:現況分析與預測(2024-2032)

Generative AI in Movies Market: Current Analysis and Forecast (2024-2032)

出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 144 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

電影生成AI市場預計將呈現約26.5%的成長率。這是因為有機會開發協作工具,使AI能夠協助創意團隊並將人類創造力與機器效率相結合。此外,AI產業的研發和投資的增加將推動電影的生成AI市場。例如,2023年 11月,尖端 3D 生成AI平台 Map Book 走出隱密模式,獲得了令人印象深刻的600萬美元種子資金。

依產品類型,市場分為內容生成、視覺效果、後製/編輯、預算最佳化等。內容生成類別預計將在電影生成AI市場中佔據最大的市場佔有率,因為它簡化了內容創作的步驟並有助於提高配音技巧。因此,透過使用AI演算法來創建腳本、對話、故事和角色拱門,電影製作人可以擴展他們的創作可能性,同時減少腳本開發所需的時間。快速有效地提出原型創意的能力可以提高說故事的創造力和創意發展。此外,透過AI創建的內容可以針對觀眾進行最佳化並根據他們的興趣進行客製化,提高消費者的觀看可用性和滿意度,增加市場收入和成長前景。

根據部署,市場分為基於雲端的和本地的。其中,基於雲端的類別預計在預測期內將以最快的年複合成長率成長,因為它為電影製作和內容創作提供了靈活且負擔得起的方法。這使得電影製作人能夠使用先進的AI工具,而無需昂貴的本地設置,這對於大型工作室和獨立電影製作人尤其有用。雲端上的即時協作改進了後製流程,包括編輯、視覺效果、動畫等。此外,這些平台還提供大量儲存和處理能力,以應用先進的生成模型來創建高品質的、以資料為導向的內容。這種靈活性和效率日益增加AI在電影產業的使用,加速市場的發展和成長。

根據使用情況,市場分為遊戲、電影/電視、廣告/行銷和 AR/VR。尤其是遊戲產業,挑戰當前即時渲染、世界建構和角色創建的範式,並且是電影生成AI市場的關鍵驅動力。玩家尋求更具吸引力和更真實的體驗,並為基於AI的內容生成的進步做出了貢獻,包括程式關卡生成、動態敘事和虛擬角色。這些創新現在開始蔓延到電影產業,生成式AI用於視覺效果、逼真的CGI 角色創建以及後製過程。遊戲和電影的整合利用這些AI技術來創造更便宜、更美觀、更有吸引力的娛樂產品。

為了更了解電影生成式AI的市場採用情況,市場為北美(美國、加拿大和其他北美地區)、歐洲(德國、英國、法國、西班牙、義大利和其他歐洲地區) )、亞太地區(根據其他地區(中國、日本、印度、亞太其他地區)和其他地區的全球影響力進行分析。特別是,由於電影業的成長、技術的進步和AI的投資,亞太地區預計將成為電影生成AI快速成長的市場。中國、印度、韓國和日本是內容、特效和動畫製作中採用AI工具的領先國家。由於該地區擁有大量一般受眾,使用AI進行內容個人化和在地化的壓力也越來越大。此外,亞太地區人口偏向科技,政府也支持AI計畫,尤其是生成式AI,使其成為電影製作中AI領域未來發展的理想之地。科技公司與當地電影製作人之間的技術和業務合作將進一步推動該成長,以完善製作並提高情節品質。

市場主要參與者包括 IBM、NVIDIA Corporation、OpenAI、Weta FX Ltd.、Adobe、Autodesk Inc.、Foundry Visionmongers Limited、Google、ATLAS、Synthesia Limited 等。

目錄

第1章 市場介紹

  • 市場定義
  • 主要目的
  • 利害關係人
  • 限制

第2章 研究方法或前提

  • 調查過程
  • 調查方法
  • 受訪者簡介

第3章 執行摘要

  • 業界要約
  • 依細分市場進行預測
    • 市場成長強度
  • 地域展望

第4章 市場力学

  • 促進要因
  • 機會
  • 抑制要因
  • 動向
  • PESTEL分析
  • 需要側分析
  • 供給側分析
    • 併購
    • 投資與合作場景
    • 產業洞察:主要新創公司及其獨特策略

第5章 価格分析

  • 區域價格分析
  • 影響價格的因素

第6章 全球AI電影市場收入,2022-2032年

第7章 市場洞察:依類型

  • 內容生成
  • 視覺效果
  • 後製/編輯
  • 預算最佳化
  • 其他

第8章 市場洞察:依佈署

  • 雲端
  • 本地

第9章 市場洞察:依用途

  • 遊戲
  • 電影/電視
  • 廣告/行銷
  • AR・VR
  • 其他

第10章 市場洞察:依地域

  • 北美
    • 米國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區

第11章 價值鏈分析

  • 限界分析
  • 進入市場的公司名單

第12章 競爭情勢

  • 競爭儀表板
  • 競爭市場定位分析
  • 波特五力分析

第13章 公司簡介

  • IBM
  • NVIDIA Corporation
  • OpenAI
  • Weta FX Ltd.
  • Adobe
  • Autodesk Inc.
  • Foundry Visionmongers Limited
  • Google
  • ATLAS
  • Synthesia Limited

第14章 首字母縮寫與先決條件

第15章 附錄

簡介目錄
Product Code: UMAI213033

The generative AI in the movie market refers to the application of AI in creating and improving different processes of filmmaking such as content generation, visual effects, screenplay writing, and character design. This technology helps producers and directors improve the efficiency of their work, decrease expenditures, and at the same time challenge the limits of creativity. The growth in this market is due to the developments in machine learning, the increasing need for more interactive content, and the emergence of digital platforms that require more frequent content production. In addition, the connection of AI with innovative technologies such as Virtual Reality (VR) and Augmented Reality (AR) is promoting the use of generative AI in the film industry.

The generative AI in the movie market is set to show a growth rate of about 26.5%. This is due to opportunities to develop collaborative tools where AI assists teams of creators, enabling a mix of human creativity and machine efficiency. Also, increasing R&D and investment in the AI industry drive generative AI in the movie market. For instance, in November 2023, Map Book, a cutting-edge 3D generative AI platform, emerged from stealth mode after securing an impressive ~$6 million in seed funding.

Based on type, the market is segmented into content generation, visual effects, post-production & editing, budget optimization, and others. The content generation category is anticipated to hold the largest market share of generative AI in the movie market as it helps in simplifying the procedure of content creation and improvising the techniques of narration. In this way, with the use of AI algorithms for the creation of scripts, dialogues, and story and character arches, filmmakers can expand their creative potential and at the same time cut down the time required for script development. It is fast and efficient in coming up with prototype ideas thus allowing for more creativity and development of ideas in storytelling. Furthermore, the content created through AI can be optimized for viewership and tuned to the audience's interest to enhance the viewability and satisfaction of the consumers and thereby increase the market's revenue-generating and growth prospects.

Based on the deployment, the market is segmented into cloud-based and on-premises. Among these, the cloud-based category is expected to grow at the fastest CAGR during the forecast period as it provides flexible and affordable ways for filmmaking and content creation. This allows filmmakers to use advanced AI tools without the need for having an expensive on-premises setup which is especially useful for large studios and indie filmmakers. Real-time collaboration in the cloud improves the post-production processes that include editing, visual effects, and animation, among others. Moreover, these platforms also offer large storage and processing abilities for applying advanced generative models in producing high-quality and data-oriented content. This flexibility and efficiency are increasing the use of AI in the movie industry, and fast-tracking development and growth of the market.

Based on the application, the market is segmented into gaming, film & television, advertising & marketing, and AR & VR. Among these, the gaming segment is a key driver of the generative AI in the movies market as it challenges the current real-time rendering and world and character creation paradigms. The players require more engaging and realistic experiences and have contributed to the development of artificial intelligence-based content generation including procedural generation of levels, dynamic narratives, and virtual characters. These innovations are now starting to spread to the film industry, where generative AI can be used for visual effects, creating realistic CGI characters, and post-production processes. The integration of gaming and movies uses these AI technologies in the creation of cheaper, better-looking, and engaging entertainment products.

For a better understanding of the market adoption of Generative AI in the movie, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, the Asia Pacific region is expected to be the rapidly growing market for Generative AI in Movies due to the growth of the film industries, technological enhancements, and investments in AI. China, India, South Korea, and Japan are among the leading nations that have integrated AI tools in creating content, special effects, and animations. The region has a big and general audience that also increases the pressure toward using artificial intelligence for content personalization and localization. Moreover, the population in the Asia Pacific region is more inclined towards technology and the governments here are supportive towards AI projects, especially Generative AI which makes it the ideal place for future advancements in the field of AI in filmmaking. This growth is further boosted by technology and business partnerships between the tech companies and the local movie producers to perfect production and increase the quality of the plot.

Some of the major players operating in the market include IBM; NVIDIA Corporation; OpenAI; Weta FX Ltd.; Adobe; Autodesk Inc.; Foundry Visionmongers Limited; Google; ATLAS; Synthesia Limited

TABLE OF CONTENTS

1.MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Global Generative AI in Movies Market
  • 2.2. Research Methodology of the Global Generative AI in Movies Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment and Partnership Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.GLOBAL GENERATIVE AI IN MOVIES MARKET REVENUE (USD MN), 2022-2032F

7.MARKET INSIGHTS BY TYPE

  • 7.1. Content Generation
  • 7.2. Visual Effects
  • 7.3. Post-Production & Editing
  • 7.4. Budget Optimization
  • 7.5. Others

8.MARKET INSIGHTS BY DEPLOYMENT

  • 8.1. Cloud-Based
  • 8.2. On-Premises

9.MARKET INSIGHTS BY APPLICATION

  • 9.1. Gaming
  • 9.2. Film & Television
  • 9.3. Advertising & Marketing
  • 9.4. AR & VR
  • 9.5. Other

10.MARKET INSIGHTS BY REGION

  • 10.1. North America
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Rest of North America
  • 10.2. Europe
    • 10.2.1. Germany
    • 10.2.2. U.K.
    • 10.2.3. France
    • 10.2.4. Italy
    • 10.2.5. Spain
    • 10.2.6. Rest of Europe
  • 10.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. Rest of Asia-Pacific
  • 10.4. Rest of World

11.VALUE CHAIN ANALYSIS

  • 11.1. Marginal Analysis
  • 11.2. List of Market Participants

12.COMPETITIVE LANDSCAPE

  • 12.1. Competition Dashboard
  • 12.2. Competitor Market Positioning Analysis
  • 12.3. Porter Five Forces Analysis

13.COMPANY PROFILED

  • 13.1. IBM
    • 13.1.1. Company Overview
    • 13.1.2. Key Financials
    • 13.1.3. SWOT Analysis
    • 13.1.4. Product Portfolio
    • 13.1.5. Recent Developments
  • 13.2. NVIDIA Corporation
  • 13.3. OpenAI
  • 13.4. Weta FX Ltd.
  • 13.5. Adobe
  • 13.6. Autodesk Inc.
  • 13.7. Foundry Visionmongers Limited
  • 13.8. Google
  • 13.9. ATLAS
  • 13.10. Synthesia Limited

14.ACRONYMS & ASSUMPTION

15.ANNEXURE