영화용 생성형 AI 시장 : 현황 분석 및 예측(2024-2032년)

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