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市场调查报告书
商品编码
1570986

电影生成AI市场：现况分析与预测（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个工作天内

价格
简介目录

电影生成AI市场预计将呈现约26.5%的成长率。这是因为有机会开发协作工具，使AI能够协助创意团队并将人类创造力与机器效率相结合。此外，AI产业的研发和投资的增加将推动电影的生成AI市场。例如，2023年 11月，尖端 3D 生成AI平台 Map Book 走出隐密模式，获得了令人印象深刻的600万美元种子资金。

依产品类型，市场分为内容生成、视觉效果、后製/编辑、预算最佳化等。内容生成类别预计将在电影生成AI市场中占据最大的市场占有率，因为它简化了内容创作的步骤并有助于提高配音技巧。因此，透过使用AI演算法来创建脚本、对话、故事和角色拱门，电影製作人可以扩展他们的创作可能性，同时减少脚本开发所需的时间。快速有效地提出原型创意的能力可以提高说故事的创造力和创意发展。此外，透过AI创建的内容可以针对观众进行最佳化并根据他们的兴趣进行客製化，提高消费者的观看可用性和满意度，增加市场收入和成长前景。

根据部署，市场分为基于云端的和本地的。其中，基于云端的类别预计在预测期内将以最快的年复合成长率成长，因为它为电影製作和内容创作提供了灵活且负担得起的方法。这使得电影製作人能够使用先进的AI工具，而无需昂贵的本地设置，这对于大型工作室和独立电影製作人尤其有用。云端上的即时协作改进了后製流程，包括编辑、视觉效果、动画等。此外，这些平台还提供大量储存和处理能力，以应用先进的生成模型来创建高品质的、以资料为导向的内容。这种灵活性和效率日益增加AI在电影产业的使用，加速市场的发展和成长。

根据使用情况，市场分为游戏、电影/电视、广告/行销和 AR/VR。尤其是游戏产业，挑战当前即时渲染、世界建构和角色创建的范式，并且是电影生成AI市场的关键驱动力。玩家寻求更具吸引力和更真实的体验，并为基于AI的内容生成的进步做出了贡献，包括程式关卡生成、动态叙事和虚拟角色。这些创新现在开始蔓延到电影产业，生成式AI用于视觉效果、逼真的CGI 角色创建以及后製过程。游戏和电影的整合利用这些AI技术来创造更便宜、更美观、更有吸引力的娱乐产品。

为了更了解电影生成式AI的市场采用情况，市场为北美（美国、加拿大和其他北美地区）、欧洲（德国、英国、法国、西班牙、义大利和其他欧洲地区） ）、亚太地区（根据其他地区（中国、日本、印度、亚太其他地区）和其他地区的全球影响力进行分析。特别是，由于电影业的成长、技术的进步和AI的投资，亚太地区预计将成为电影生成AI快速成长的市场。中国、印度、韩国和日本是内容、特效和动画製作中采用AI工具的领先国家。由于该地区拥有大量一般受众，使用AI进行内容个人化和在地化的压力也越来越大。此外，亚太地区人口偏向科技，政府也支持AI计画，尤其是生成式AI，使其成为电影製作中AI领域未来发展的理想之地。科技公司与当地电影製作人之间的技术和业务合作将进一步推动该成长，以完善製作并提高情节品质。

市场主要参与者包括 IBM、NVIDIA Corporation、OpenAI、Weta FX Ltd.、Adobe、Autodesk Inc.、Foundry Visionmongers Limited、Google、ATLAS、Synthesia Limited 等。

目录

第1章 市场介绍

  • 市场定义
  • 主要目的
  • 利害关係人
  • 限制

第2章 研究方法或前提

  • 调查过程
  • 调查方法
  • 受访者简介

第3章 执行摘要

  • 业界要约
  • 依细分市场进行预测
    • 市场成长强度
  • 地域展望

第4章 市场力学

  • 促进要因
  • 机会
  • 抑制要因
  • 动向
  • PESTEL分析
  • 需要侧分析
  • 供给侧分析
    • 併购
    • 投资与合作场景
    • 产业洞察：主要新创公司及其独特策略

第5章 価格分析

  • 区域价格分析
  • 影响价格的因素

第6章 全球AI电影市场收入，2022-2032年

第7章 市场洞察：依类型

  • 内容生成
  • 视觉效果
  • 后製/编辑
  • 预算最佳化
  • 其他

第8章 市场洞察：依布署

  • 云端
  • 本地

第9章 市场洞察：依用途

  • 游戏
  • 电影/电视
  • 广告/行销
  • AR・VR
  • 其他

第10章 市场洞察：依地域

  • 北美
    • 米国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区

第11章 价值链分析

  • 限界分析
  • 进入市场的公司名单

第12章 竞争情势

  • 竞争仪表板
  • 竞争市场定位分析
  • 波特五力分析

第13章 公司简介

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

第14章 首字母缩写与先决条件

第15章 附录

简介目录
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