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Generative AI in Animation Market By Type (Transformers, GANs, VAEs, and Others), By Components, By Application - Global Industry Outlook, Key Companies (Disney, Pixar, DreamWorks Animation, and others), Trends and Forecast 2024-2033

Published on : April-2024  Report Code : RC-889  Pages Count : 266  Report Format : PDF
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Market Overview

The Global Generative AI in Animation Market is expected to reach a market value of USD 2.4 billion in 2024 which is further expected to reach USD 45.5 billion in 2033 at a CAGR of 38.8%.

Generative AI in Animation Market Growth Analysis

The use of generative artificial intelligence in the animation market is experiencing significant growth driven by the use of artificial intelligence techniques, especially generative models, in animation production. This innovative approach harnesses algorithms and machine learning to automatically generate realistic and ingenious animations or help human animators within the innovative procedure.
 
With increasing demand for extraordinary animations throughout industries consisting of entertainment, gaming, advertising, and education, there is a rising adoption of generative AI techniques. Companies focusing on animation production, software program development, and AI research are actively making an investment in this area, aiming to develop advanced tools and platforms.
 
These solutions empower animators with abilities to create complex scenes, automate repetitive tasks, and explore new animation styles. Furthermore, the marketplace is witnessing the emergence of specialized software program solutions and frameworks devoted to generative AI in animation, supplying tailor-made functions to fulfill industry-specific demands. 

Collaborations among AI researchers and animation studios also are on the rise, facilitating the development of customized solutions. Overall, the marketplace gives promising possibilities for innovation and collaboration in the field of animation production.

Generative AI is revolutionizing animation, offering opportunities to streamline workflows and enhance creativity. Industry events and conferences such as SIGGRAPH and Annecy International Animation Festival are now focusing on AI’s role in animation, exploring topics like AI-driven character design, procedural storytelling, and real-time rendering. 

These gatherings provide a platform for professionals to network, learn, and showcase innovations. The growing demand for AI in media and entertainment opens doors for startups and tech enthusiasts to collaborate with studios, creating tools that blend human artistry with machine efficiency. As the technology evolves, generative AI is set to redefine the future of animation.

Key Takeaways

  • Market Value: The market size of the generative AI in animation is projected to reach a market value of USD 3.2 billion in 2025, compared to USD 45.5 billion in 2033 at a CAGR of 38.8%.
  • Market Definition: Generative AI in Animation utilizes artificial intelligence, especially generative models, to automatically create or assist in developing realistic and imaginative animations, improving creativity in animation production processes.
  • Type Segment Analysis: Transformers are projected to exert their dominance in the type segment with 37.1% of the market share in 2024.
  • Components Segment Analysis: Solutions are expected to exert its dominance in the component segment with the highest market share in 2024.
  • Application Segment Analysis: Television and OTT are projected to command this market with 32.2% of the market share in 2024.
  • Growth Drivers: The growth of generative AI in the animation market is pushed by a growing need for exquisite animations across various industries, coupled with advancements in AI technology and the emergence of innovative animation techniques.
  • Regional Analysis: North America is predicted to dominate the global generative AI in the animation market with 41.3% of the market share in 2024.

Use Cases

  • Enhanced Character Animation: Generative AI allows realistic character actions, expressions, and interactions, enhancing immersion and storytelling in animated movies, video games, and advertisements.
  • Automated Scene Generation: AI algorithms automatically generate complex animated scenes, lowering production time and cost while maintaining quality and creativity.
  • Style Transfer and Adaptation: Generative AI strategies facilitate the transfer of creative styles among animations, enabling artists to explore numerous visual aesthetics and adapt current content material efficiently.
  • Procedural Animation Systems: AI-pushed procedural animation systems simulate natural phenomena and complex behaviors, presenting animators with versatile tools for creating dynamic and sensible animations.
  • Interactive and Personalized Content: Generative AI powers interactive experiences and customized content material in gaming and multimedia platforms, dynamically adapting animations based on personal interactions and preferences.

Market Dynamic

Drivers

Unique Visual Output: The ability of generative AI to produce novel and visually striking animations is a major force that is driving the growth of this market. It permits and assists in the creation of animations with extraordinary and realistic visuals, driving interest, and demand within the global market.

Increased Efficiency and Productivity: Generative AI streamlines animation production processes, leading to enhanced efficiency and productivity. This factor fuels market growth as companies are looking for methods to optimize their workflows and reduce production costs.

Cost Savings: The cost-saving capability of generative AI in animation is a key driver behind its growing popularity. By decreasing exertions prices and overall production expenses, various business organizations can acquire significant financial savings due to the integration of AI in animation, further incentivizing the adoption and investment in generative AI technology.

Restraints

High Cost of Software and Hardware: The high cost associated with acquiring and keeping the necessary software and hardware for working generative AI systems poses a restraint on market growth. The preliminary funding required for setup and ongoing maintenance can deter a few organizations from fully embracing these technologies.

Computing Power Requirements: Generative AI algorithms regularly demand substantial computing power, that may boost operational costs and resource necessities. This reliance on computational sources presents a barrier to entry for smaller companies and can limit the enormous adoption of this technology in animation market.

Opportunities

Technological Advancements: Continuous improvements in generative AI technology present opportunities for market growth. As AI skills evolve, new features and functionalities emerge, expanding the potential application of generative AI in animation and driving adoption throughout diverse industries.

Rising Awareness and Adoption: Increasing recognition of generative AI's benefits, in particular its potential to save money and time in animation production, creates possibilities for market growth. As more companies now understand and recognize the value of these technologies, demand for generative AI solutions is anticipated to drive the growth of this market.

Trends

Automated Task Execution: The trend of the usage of AI to automate numerous animation responsibilities, from video layout to including animations, is gaining traction throughout the globe. This trend improves work performance, reduces labor costs, and permits animators to focus on extra creative elements in their work.

Integration with Emerging Technologies: Generative AI in animation is increasingly more incorporated with other technology such as the Internet of Things (IoT) and cloud computing. This integration opens up new possibilities for innovation and growth inside the market, as AI-driven animation will become extra flexible and interconnected with other digital ecosystems.

Research Scope and Analysis

By Type

Transformers are projected to dominate the global generative AI in the animation market based on type with 37.1% of the market share in 2024. Transformers have emerged as the dominant force for several compelling reasons, unlike traditional recurrent neural networks (RNNs) or convolutional neural networks (CNNs), Transformers excel in capturing long-range dependencies and contextual relationships inside sequences, making them surprisingly ideal for duties like language modeling and generation. 

This inherent capability aligns seamlessly with the complicated and interconnected nature of animated scenes, in which contextual expertise and coherence are essential. Moreover, Transformers can efficiently deal with massive datasets and parallelize computations, permitting scalable training and generation procedures vital for the demands of animation production.

Generative AI in Animation Market Type Share Analysis

Furthermore, Transformers have demonstrated tremendous versatility across various generative tasks, which include image synthesis, text-to-image translation, and even character animation. Their architecture, including self-attention mechanisms, empowers them to capture tricky patterns and nuances found in animated content, resulting in more natural and realistic output. 

Additionally, the flexibility of transformers allows for easy adaption to one-of-a-kind animation styles and genres, offering animators an effective tool for creative exploration and expression. As a result, in the generative AI in the animation market, Transformers stands out because of the preferred choice, driving innovation and pushing the boundaries of what's achievable in animated storytelling and visual artistry.

By Components

Solutions are projected to dominate the global generative AI in animation market in the context of the component with the highest market share in 2024. Solutions have emerged as a dominant force because of their intrinsic value proposition and services. Unlike services, which normally contain tailored consultations, implementations, and support, solutions provide a packaged approach encompassing software platforms, tools, and frameworks especially designed to cope with the specific challenges and necessities of generative AI in animation. These solutions regularly integrate advanced algorithms, pre-trained models, and user-friendly interfaces, streamlining the development and deployment procedures for animation studios and creators.

Moreover, solutions in the generative AI space often include contemporary technology which includes deep learning frameworks and cloud computing infrastructure, allowing green education, inference, and scalability. By imparting a cohesive and reachable platform, solutions empower animators to harness the power of AI for tasks like scene generation, character animation, and visual effects with more ease and efficiency. 

This abundance of choice, coupled with the tangible benefits of out-of-the-box solutions, has solidified their dominance in driving innovation and adoption in the animation industry, making them the preferred choice for creators seeking to leverage AI to boost their creative endeavors.

By Application

Television and OTT platforms are anticipated to dominate the generative artificial intelligence in the animation market with 32.2% of the market share in 2024 because of numerous key elements aligning with the industry's dynamics and target audience demands. Television and OTT platforms function within a fast-paced and exceedingly aggressive environment where content production efficiency and audience engagement are essential. Generative AI solutions offer a compelling value proposition for these platforms by improving content creation processes, permitting faster turnaround times, and reducing production costs.

Moreover, the episodic nature of television series and OTT shows provides a significant opportunity for leveraging generative AI to streamline tasks such as scene generation, character animation, and visible effects throughout more than one episode or season. By automating repetitive tasks and presenting tools for innovative exploration, AI-powered solutions permit content creators to maintain high production values while meeting tight deadlines.

Furthermore, the developing demand for personalized content experiences and advice structures on OTT platforms creates additional avenues for using generative AI algorithms to analyze viewer preferences and tailor content accordingly. This potential to improve content and viewer engagement further solidifies the dominance of TV and OTT platforms in using innovation and adoption within the generative AI in the animation market.

The Generative AI in Animation Market Report is segmented on the basis of the following

By Type

  • Transformers
  • GANs
  • VAEs
  • Others

By Components

  • Solutions
  • Services

By Application

  • Television and OTT
  • Films
  • Advertisements
  • Gaming
  • Others

Regional Analysis

North America is projected to dominate the global generative AI in the animation market with 41.3% of the market share in 2024 which can be attributed to an aggregate of factors that function the region as a frontrunner in technological innovation, entertainment industry influence, and strong infrastructure. North America boasts a thriving atmosphere of technology hubs, research establishments, and leading AI companies that force innovation and development in the discipline of artificial intelligence. 

Generative AI in Animation Market Regional Analysis

This awareness of knowledge fosters the advent and adoption of modern AI technology, together with the ones specially tailored for animation applications. The entertainment industry, specifically in the United States, holds significant sway globally, with Hollywood serving as the epicenter of film and television production. This concentration of innovative expertise and production studios provides a fertile ground for the integration of AI technology into animation pipelines, driving demand for AI solutions and services.

Additionally, North America benefits from a strong digital infrastructure, consisting of fast-paced internet connectivity and cloud computing assets, that are vital for processing big-scale animation datasets and deploying AI-powered applications effectively. Furthermore, favorable regulatory environments, robust intellectual property protections, and access to venture capital further stimulate innovation and funding in AI-driven animation technology throughout the region. 

Collectively, these factors contribute to North America's dominant position within the global AI in the animation market, with the region continuing to lead the way in shaping the future of animated storytelling and visual content creation.

By Region

North America
  • The U.S.
  • Canada
Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Russia
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
Asia-Pacific
  • China
  • Japan
  • South Korea
  • India
  • ANZ
  • ASEAN
  • Rest of Asia-Pacific
Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of Latin America
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Egypt
  • Rest of MEA

Competitive Landscape

The competitive landscape of the global generative AI in the animation market is characterized through excessive competition among key gamers vying for market share and technological leadership. Leading groups which include NVIDIA Corporation, Adobe Inc., and Autodesk, Inc. Are at the vanguard, leveraging their understanding of AI, computer graphics, and animation software programs to increase progressive solutions tailored for animation production.
 
These industry giants heavily invest in research and development to enhance their generative AI capabilities, using advancements in regions that include scene generation, character animation, and visual effects. Additionally, emerging startups like Artomatix and DNEG, in conjunction with tech giants like Google and Microsoft, are disrupting the marketplace with novel approaches and modern technologies.

Strategic collaborations, partnerships, and acquisitions are common techniques employed by organizations to bolster their foothold and expand their offerings in this swiftly evolving landscape. As demand for exquisite animated content material across various sectors, inclusive of entertainment, marketing, and gaming, continues to surge, competition is expected to heighten, fostering innovation and pushing the bounds of what is achievable with generative AI in animation.

Some of the prominent players in the Global Generative AI in Animation Market are:
  • Disney
  • Pixar
  • DreamWorks Animation
  • Autodesk
  • NVIDIA
  • Adobe
  • Unity Technologies
  • Toon Boom Animation
  • Weta Digital Stable Diffusion
  • PentoPix Ltd.
  • RADiCAL Solutions Inc.
  • Towards AI
  • Synthesia
  • Other Key Players

Recent Development

  • In March 2024, Amazon makes its biggest venture capital investment, USD 4.0 billion, in a generative AI developer, Anthropic, marking a significant move in advancing next-gen AI technology.
  • In March 2024, Indian VFX studio PhantomFX acquires 80% stake in Oscar-winning Tippett Studio, aiming for global expansion, innovative projects, and revenue growth, with Phil Tippett's continued involvement.
  • In January 2024, Kore.ai, based in Bengaluru, secured USD 150 million investment led by FTV Capital to expand its AI platform globally, aiming at market expansion and innovation.
  • In November 2023, Adobe acquired Bengaluru-based AI start-up Rephrase.ai, specializing in text-to-video generation. This marks Adobe's entry into generative AI and video tooling industries, expanding its capabilities and global reach.
  • In March 2023, Bandai Namco Entertainment invests in DeepMotion, a leader in AI motion generation technology, to pioneer new forms of entertainment in the metaverse, leveraging DeepMotion's expertise for immersive experiences.
  • In February 2023, Krikey.ai partners with Stability AI to launch an AI Animation tool, enabling users to generate 3D avatar animations from text inputs quickly. Customization options and AR compatibility enhance creative possibilities.

Report Details

                                 Report Characteristics
Market Size (2024) USD 2.4 Bn
Forecast Value (2033) USD 45.5 Bn
CAGR (2023-2032) 38.8%
Historical Data 2018 – 2023
Forecast Data 2024 – 2033
Base Year 2023
Estimate Year 2024
Report Coverage Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc.
Segments Covered By Type (Transformers, GANs, VAEs, and Others), By Components (Solutions, and Services), By Application (Television and OTT, Films, Advertisements, Gaming, and Others)
Regional Coverage North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
Prominent Players Disney, Pixar, DreamWorks Animation, Autodesk, NVIDIA, Adobe, Unity Technologies, Toon Boom Animation, Weta Digital Stable Diffusion, PentoPix Ltd., RADiCAL Solutions Inc., Towards AI, Synthesia, and Other Key Players
Purchase Options We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively.

 

Frequently Asked Questions

  • How big is the Global Generative AI in Animation Market?

    The Global Generative AI in Animation Market size is estimated to have a value of USD 2.4 billion in 2024 and is expected to reach USD 45.5 billion by the end of 2033.

  • Which region accounted for the largest Global Generative AI in Animation Market?

    North America has the largest market share for the Global Generative AI in Animation Market with a share of about 41.3% in 2024.

  • Who are the key players in the Global Generative AI in Animation Market?

    Some of the major key players in the Global Generative AI in Animation Market are Disney, Pixar, DreamWorks Animation and many others.

  • What is the growth rate in the Global Generative AI in Animation Market?

    The market is growing at a CAGR of 38.8 percent over the forecasted period.

  • Contents

      1.Introduction
        1.1.Objectives of the Study
        1.2.Market Scope
        1.3.Market Definition and Scope
      2.Generative AI in Animation Market Overview
        2.1.Global Generative AI in Animation Market Overview by Type
        2.2.Global Generative AI in Animation Market Overview by Application
      3.Generative AI in Animation Market Dynamics, Opportunity, Regulations, and Trends Analysis
        3.1.Market Dynamics
          3.1.1.Generative AI in Animation Market Drivers
          3.1.2.Generative AI in Animation Market Opportunities
          3.1.3.Generative AI in Animation Market Restraints
          3.1.4.Generative AI in Animation Market Challenges
        3.2.Emerging Trend/Technology
        3.3.PESTLE Analysis
        3.4.PORTER'S Five Forces Analysis
        3.5.Technology Roadmap
        3.6.Opportunity Map Analysis
        3.7.Case Studies
        3.8.Opportunity Orbits
        3.9.Pricing Analysis
        3.10.Ecosystem Analysis
        3.11.Supply/Value Chain Analysis
        3.12.Covid-19 & Recession Impact Analysis
        3.13.Product/Brand Comparison
      4.Global Generative AI in Animation Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Type, 2017-2032
        4.1.Global Generative AI in Animation Market Analysis by By Type: Introduction
        4.2.Market Size and Forecast by Region
        4.3.Transformers
        4.4.GANs
        4.5.VAEs
        4.6.Others
      5.Global Generative AI in Animation Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Components, 2017-2032
        5.1.Global Generative AI in Animation Market Analysis by By Components: Introduction
        5.2.Market Size and Forecast by Region
        5.3.Solutions
        5.4.Services
      6.Global Generative AI in Animation Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Application, 2017-2032
        6.1.Global Generative AI in Animation Market Analysis by By Application: Introduction
        6.2.Market Size and Forecast by Region
        6.3.Television and OTT
        6.4.Films
        6.5.Advertisements
        6.6.Gaming
        6.7.Others
      10.Global Generative AI in Animation Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2017-2032
        10.1.North America
          10.1.1.North America Generative AI in Animation Market: Regional Analysis, 2017-2032
            10.1.1.1.The US
            10.1.1.2.Canada
        10.2.1.Europe
          10.2.1.Europe Generative AI in Animation Market: Regional Trend Analysis
            10.2.1.1.Germany
            10.2.1.2.France
            10.2.1.3.UK
            10.2.1.4.Russia
            10.2.1.5.Italy
            10.2.1.6.Spain
            10.2.1.7.Nordic
            10.2.1.8.Benelux
            10.2.1.9.Rest of Europe
        10.3.Asia-Pacific
          10.3.1.Asia-Pacific Generative AI in Animation Market: Regional Analysis, 2017-2032
            10.3.1.1.China
            10.3.1.2.Japan
            10.3.1.3.South Korea
            10.3.1.4.India
            10.3.1.5.ANZ
            10.3.1.6.ASEAN
            10.3.1.7.Rest of Asia-Pacifc
        10.4.Latin America
          10.4.1.Latin America Generative AI in Animation Market: Regional Analysis, 2017-2032
            10.4.1.1.Brazil
            10.4.1.2.Mexico
            10.4.1.3.Argentina
            10.4.1.4.Colombia
            10.4.1.5.Rest of Latin America
        10.5.Middle East and Africa
          10.5.1.Middle East and Africa Generative AI in Animation Market: Regional Analysis, 2017-2032
            10.5.1.1.Saudi Arabia
            10.5.1.2.UAE
            10.5.1.3.South Africa
            10.5.1.4.Israel
            10.5.1.5.Egypt
            10.5.1.6.Turkey
            10.5.1.7.Rest of MEA
      11.Global Generative AI in Animation Market Company Evaluation Matrix, Competitive Landscape, Market Share Analysis, and Company Profiles
        11.1.Market Share Analysis
        11.2.Company Profiles
          11.3.1.Company Overview
          11.3.2.Financial Highlights
          11.3.3.Product Portfolio
          11.3.4.SWOT Analysis
          11.3.5.Key Strategies and Developments
        11.4.Disney
          11.4.1.Company Overview
          11.4.2.Financial Highlights
          11.4.3.Product Portfolio
          11.4.4.SWOT Analysis
          11.4.5.Key Strategies and Developments
        11.5.Pixar
          11.5.1.Company Overview
          11.5.2.Financial Highlights
          11.5.3.Product Portfolio
          11.5.4.SWOT Analysis
          11.5.5.Key Strategies and Developments
        11.6.DreamWorks Animation
          11.6.1.Company Overview
          11.6.2.Financial Highlights
          11.6.3.Product Portfolio
          11.6.4.SWOT Analysis
          11.6.5.Key Strategies and Developments
        11.7.Autodesk
          11.7.1.Company Overview
          11.7.2.Financial Highlights
          11.7.3.Product Portfolio
          11.7.4.SWOT Analysis
          11.7.5.Key Strategies and Developments
        11.8.NVIDIA
          11.8.1.Company Overview
          11.8.2.Financial Highlights
          11.8.3.Product Portfolio
          11.8.4.SWOT Analysis
          11.8.5.Key Strategies and Developments
        11.9.Adobe
          11.9.1.Company Overview
          11.9.2.Financial Highlights
          11.9.3.Product Portfolio
          11.9.4.SWOT Analysis
          11.9.5.Key Strategies and Developments
        11.10.(US$ Mn)y Technologies
          11.10.1.Company Overview
          11.10.2.Financial Highlights
          11.10.3.Product Portfolio
          11.10.4.SWOT Analysis
          11.10.5.Key Strategies and Developments
        11.11.Toon Boom Animation
          11.11.1.Company Overview
          11.11.2.Financial Highlights
          11.11.3.Product Portfolio
          11.11.4.SWOT Analysis
          11.11.5.Key Strategies and Developments
        11.12.Weta Digital Stable Diffusion
          11.12.1.Company Overview
          11.12.2.Financial Highlights
          11.12.3.Product Portfolio
          11.12.4.SWOT Analysis
          11.12.5.Key Strategies and Developments
        11.13.PentoPix Ltd.
          11.13.1.Company Overview
          11.13.2.Financial Highlights
          11.13.3.Product Portfolio
          11.13.4.SWOT Analysis
          11.13.5.Key Strategies and Developments
        11.14.RADiCAL Solutions Inc.
          11.14.1.Company Overview
          11.14.2.Financial Highlights
          11.14.3.Product Portfolio
          11.14.4.SWOT Analysis
          11.14.5.Key Strategies and Developments
      12.Assumptions and Acronyms
      13.Research Methodology
      14.Contact
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