Generative AI in Animation Market Size, Share, By Type (Generative Adversarial Networks, Variational Autoencoders, Transformers, and Other Types), By Component (Solutions, and Services), By Application (Television and OTT, Films, Advertisements, Gaming, and Other Applications), By End-User Industry (Studios and Production Houses, Freelancers and Independent Animators, Advertising Agencies, and Others), and By Region - Trends, Analysis and Forecast till 2034

Report Code: PMI563824 | Publish Date: September 2024 | No. of Pages: 184

Generative AI In Animation Market Overview

Generative AI in Animation Market Size was valued at USD 8.9 billion in 2024 and is expected to grow at a CAGR of 36.1% to reach USD 147.5 billion by 2034.

Generative AI is transforming the animation industry by streamlining workflows, enhancing creativity and reducing production time. Traditionally, animation requires labor intensive processes such as storyboarding, character design and frame-by-frame drawing but generative AI introduces automation and creativity augmentation to these tasks.

Using deep learning models and advanced algorithms generative AI can create animations with minimal human intervention allowing artists to focus on higher-level aspects like storytelling and character development. Tools powered by AI can generate realistic movements, facial expressions and complex backgrounds significantly reducing the workload for animators.

Generative AI's ability to produce dynamic and adaptive content is one of its most important contributions to animation. Using a plethora of data from prior animations or real-world instances, AI models may create new character designs, mimic intricate surroundings, and even create smooth character motions. With this skills the studios can create cartoons more quickly and affordably while also opening up new creative options. For example, AI-driven technologies can interpolate between key frames to create seamless transitions that would take human animators significantly longer to complete, rather than manually animating each frame.

Generative AI in Animation Market Share

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Generative AI In Animation Market Dynamics

Key Drivers of Target Market:

Increasing Demand for High Quality Content Production

  • Generative AI allows animators to automate tedious tasks like frame-by-frame rendering, reducing production time. This helps studios meet the growing demand for high-quality content, particularly from streaming services. By eliminating the need for big teams of animators and physical labor the studios can use AI tools to dramatically reduce production costs. This allows even small studios to produce content that is competitive.  
  • AI tools enable studios to create content more quickly and easily which allows the simultaneous production of multiple projects or series.
  • For instance, in May 2023, major animation companies like Disney and Netflix invested in AI-driven animation tools to streamline their content pipelines showing industry commitment to scaling high-quality production with AI.

Personalization and Interactive Experiences

  • AI-powered tools make animation more accessible to non-professionals, enabling users to create personalized animations, avatars, or animated short films. Personalized content that is adapted to user preferences can be created due to generative AI especially in interactive and gaming media where AI can improve interaction by modifying animations in response to real-time user input.
  • For instance, in July 2024, platforms like Roblox and Unreal Engine incorporated AI tools that allows users to generate personalized also interactive animations as well as driving innovation in user generated content.

Developments in AI and Machine Learning Component

  • Advanced AI models, such as Generative Adversarial Networks (GANs) and deep learning systems, enable the creation of highly realistic animations, including character movements and facial expressions.
  • AI tools now assist animators by suggesting design improvements or generating alternative animations, fostering greater creativity. AI-driven advancements allow for real-time rendering of animations, greatly enhancing live animations for media, events, or virtual influencers.
  • According to the recent research article, NVIDIA announced new AI tools that leverage their advanced GPUs to enable real time animation executing, pushing the boundaries of AI-powered animation in video games and virtual worlds.

Restrains:

Ethical Concerns and Intellectual Property Issues

  • Intellectual property rights are raised by the content that is produced by AI and it can be difficult to determine if the animators, coders or even AI itself has creative rights. Regulators can take action against generative AI due to its possible misuse in producing fake data animations or unethical content.

Limited Creative Flexibility in AI Tools

  • Although AI excels at automating monotonous jobs, it falls short of human animator’s delicate inventiveness particularly when it comes to original or highly themed work.
  • The quality and variety of the training data are critical components of generative AI. The animations produced could not be as imaginative or diverse if the dataset is small.   

Opportunities:

Global Collaboration and Cross-Cultural Content Creation

  • Global collaboration is made easy by generative AI which makes it possible to effortlessly incorporate a variety of artistic and cultural elements into animations. Studios may create material that appeals to a wider international audience and promotes cross-cultural interaction by blending several visual styles or languages using AI technologies.

Innovation in Character Design and Development

  • AI can assist in generating novel character designs and development concepts by analyzing existing data and creating unique variations. This capability supports creativity and exploration in character design, enabling studios to experiment with new styles and attributes that might not emerge through traditional methods.

Generative AI In Animation Market Segmentation

The market is segmented based on Type, Component, Application, End-User Industry and Region.

Type Insights:

  • Generative Adversarial Networks: This segment dominates the target market growth as their ability to generate highly realistic content, including character designs, textures, and animations, makes them widely popular in the animation industry.
  • Variational Autoencoders: This segment is commonly used to create diverse variations of characters, backgrounds or even scenes by encoding complex features and generating multiple variations with slight differences. This helps in producing different animation styles or creating new visual effects.
  • Transformers: Deep learning models called transformers have revolutionized natural language processing (NLP) and are now being used for animation's generative tasks. Their method of capturing long-range interdependence within data is based on self-attention processes.
  • Other Types: This category includes various other AI models and hybrid techniques that are employed in animation. These may involve recurrent neural networks (RNNs), convolutional neural networks (CNNs), or hybrid models combining the strengths of different AI architectures.

Component Insights:

  • Solutions: This segment includes software platforms, tools and algorithms that directly enable the use of AI in animation and which boosts the target market growth. A growing trend towards integrating AI into industry-standard software was highlighted in mid-2024 with the announcement of new generative AI tools for animators by several top software companies including Autodesk and Adobe.
  • Services: This segment in target market refers to support, consultation and implementation services offered by companies to help studios and animators integrate AI tools into their workflows.  

Application Insights:

  • Television and OTT: This segment is expected to dominate the target market growth for the target market growth as the rise of streaming platforms has led to a surge in demand for new and diverse content, making AI tools invaluable for producing animated series and episodes quickly.
  • Films: In the film industry, generative AI is being used to create high-quality animated sequences and visual effects. AI assists in generating realistic visual effects, character animations and complex scenes often used in blockbuster films.  
  • Advertisements: The creation and personalization of animated ads is changing due to generative AI and also AI technologies create dynamic and pertinent ad content for various audiences by using user data to make personalized adverts.
  • Gaming: In this sector the generative AI is used to enhance game design and player experiences. It enables the creation of expansive and varied game environments as well as it improves efficiency in game testing and quality assurance.
  • Other Applications: This segment includes generative AI applications in animation that go beyond the main categories. Further, AI creates virtual characters or influencers for social media or online engagement, allowing brands to interact with audiences in new ways.

End-User Industry Insights:

  • Studios and Production Houses: This segment is anticipated to dominate the target market growth as AI tools assist in generating new character designs, environments, and animations, allowing studios to explore creative possibilities more efficiently. Large studios integrate AI with their existing animation pipelines, including character animation, special effects, and rendering processes.   
  • Freelancers and Independent Animators: Freelancers can use AI for tasks such as character design and scene generation which enables them to complete projects more quickly whereas AI provides freelancers with tools to experiment with new styles and techniques without needing extensive training or resources.
  • Advertising Agencies: Advertising agencies utilize generative AI to create compelling animations for marketing and promotional campaigns. AI helps create high-quality animations faster and with less resources, which is important for time-sensitive advertising campaigns.
  • Others: This segment includes a range of stakeholders who may not fit into the primary categories but still utilize generative AI in animation like, educational institutes, game developers, entertainment companies, etc.

Regional Insights

  • North America: This region is expected to dominate the target market growth as there is significant investment in AI research and development from both private investors and government sources. This funding supports the development of advanced AI tools and technologies.   
  • Asia Pacific: The use of AI technology especially in animation is expanding quickly throughout this region mostly in China, Japan and also South Korea. Both significant technological investments and a sizable and increasingly tech-savvy populace are responsible for this increase.
  • Europe: The animation industry in this region is diversified with major contributions from France, Germany, and the UK. Generative AI is being used more and more in the area to increase production efficiency and streamline animation procedures.    
  • Latin America: The animation sector in this region is expanding and there is a rising desire to use AI technologies to improve production capacities and efficiency.
  • Middle East and Africa: This region is seeing a rise in investments in digital media and technology with several nations concentrating on advancing their animation sectors and incorporating AI technologies.

Generative AI in Animation Market Report Scope:

Attribute

Details

Market Size 2024

US$ 8.9 Billion

Projected Market Size 2034

US$ 147.5 Billion

CAGR Growth Rate

36.1%

Base year for estimation

2023

Forecast period

2024 – 2034

Market representation

Revenue in USD Billion & CAGR from 2024 to 2034

Market Segmentation

By Type - Generative Adversarial Networks, Variational Autoencoders, Transformers, and Other Types  

By Component - Solutions, and Services

By Application - Television and OTT, Films, Advertisements, Gaming, and Other Applications

By End-User Industry - Studios and Production Houses, Freelancers and Independent Animators, Advertising Agencies, and Others  

Regional scope

North America - U.S., Canada

Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe

Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific

Latin America - Brazil, Mexico, Argentina, Rest of Latin America

Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa

Report coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2024 to 2034. For the purpose of this study segmented the target market report based on Type, Component, Application, End-User Industry and Region.

By Type:

  • Generative Adversarial Networks
  • Variational Autoencoders
  • Transformers
  • Other Types

By Component:

  • Solutions
  • Services

By Application:

  • Television and OTT
  • Films
  • Advertisements
  • Gaming
  • Other Applications

By End-User Industry:

  • Studios and Production Houses
  • Freelancers and Independent Animators
  • Advertising Agencies
  • Others

By Region:

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • Israel
    • South Africa
    • Rest of Middle East & Africa

Generative AI In Animation Market Key Players

The key players operating the Generative AI in Animation Market include Adobe Inc., Autodesk Inc., NVIDIA Corporation, Pixar Animation Studios, DreamWorks Animation, Walt Disney Animation Studios, Unity Technologies, Epic Games Inc., Alibaba Group, Baidu Inc., Alibaba Cloud, Ziva Dynamics, Reallusion Inc., DeepMotion Inc., and Runway AI.

Generative AI in Animation Market Key Players

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Generative AI In Animation Market Key Issues Addressed

  • In September 2024, As part of its effort to strengthen its portfolio of products for creative professionals, software giant Adobe announced that it will launch a new generative AI-powered video creation and editing tool in a restricted release later this year. The AI tool called Adobe Firefly Video Model will be made available in beta form and added to the Photoshop creator's portfolio of Firefly image-generating programs, which let users create vector drawings, still photos and designs.
  • In July 2024, NVIDIA has introduced the new NVIDIA AI Foundry, an end-to-end platform and service enabling enterprises and sovereign nations to build custom generative AI models, with domain-specific knowledge. Modern foundation models are available on the platform, such as the most recent Llama 3.1 models, which may be tailored using NVIDIA NeMo, which offers instruments for guardrails, fine-tuning, data curation, and the creation of synthetic data.
  • In May 2024, Irish-headquartered animation studio Brown Bag Films has publicly released its new internal guidelines for how it intends to work with artificial intelligence. Serving numerous American television programs, the studio has contributed to episodes of Blue's Clues and You! On Nickelodeon, Ada Twist: Scientist on Netflix, and Doc McStuffins on Disney. The studio also creates a variety of co-productions and IP with its parent business, 9 Story Media Group. Some of the titles it has produced are Dylan's Playtime Adventures, Daniel Tiger's Neighborhood, Lu and the Bally Bunch, and Karma's World.
  • In May 2024, at its annual Google Marketing Live (GML) conference, the tech giant Google new AI ad tools for search, including new formats & animations. The new tools are geared towards helping marketers build ads that are both more attention-grabbing and visible throughout the online search process.
  • In February 2024, Researchers at Apple have unveiled Keyframer, a prototype generative AI animation tool that enables users to add motion to 2D images by describing how they should be animated. Large language models (LLMs), have showed promise in other creative fields like writing and image generation, but Apple claims they are underexplored in animation. One use of the technology being showcased is the Keyframer tool, which runs on LLM.
  • In February 2024, OpenAI has built a striking new generative video model called Sora that can take a short text description and turn it into a detailed, high-definition film clip up to a minute long. OpenAI, a San Francisco-based company, has expanded the boundaries of text-to-video production based on four sample videos that it shared with MIT Technology Review.  

Generative AI In Animation Market Company Profile

  • Adobe Inc.*
    • Company Overview
    • Product Portfolio
    • Key Highlights
    • Financial Performance
    • Business Strategies
  • Autodesk Inc.
  • NVIDIA Corporation
  • Pixar Animation Studios
  • DreamWorks Animation
  • Walt Disney Animation Studios
  • Unity Technologies
  • Epic Games Inc.
  • Alibaba Group
  • Baidu Inc.
  • Alibaba Cloud
  • Ziva Dynamics
  • Reallusion Inc.
  • DeepMotion Inc.
  • Runway AI

“*” marked represents similar segmentation in other categories in the respective section.

Generative AI In Animation Market Table of Contents

Research Objective and Assumption

  • Research Objectives
  • Assumptions
  • Abbreviations

Market Preview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Type
    • Market Snippet, By Component
    • Market Snippet, By Application
    • Market Snippet, By End-User Industry
    • Market Snippet, By Region
  • Opportunity Map Analysis

Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Market Trends
  • Product Launch
  • Merger and Acquisitions
  • Impact Analysis
  • PEST Analysis
  • Porter’s Analysis

Market Segmentation, By Type, Forecast Period up to 10 Years, (US$ Bn)

  • Overview
    • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
    • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
    • Segment Trends
  • Generative Adversarial Networks
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Variational Autoencoders
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
    • Segment Trends
  • Transformers
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
    • Segment Trends
  • Other Types
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
    • Segment Trends

Market Segmentation, By Component, Forecast Period up to 10 Years, (US$ Bn)

  • Overview
    • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
    • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
    • Segment Trends
  • Solutions
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Services
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Application, Forecast Period up to 10 Years, (US$ Bn)

  • Overview
    • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
    • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
    • Segment Trends
  • Television and OTT
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Films
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Advertisements
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Gaming
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Other Applications
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By End-User Industry, Forecast Period up to 10 Years, (US$ Bn)

  • Overview
    • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
    • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
    • Segment Trends
  • Studios and Production Houses
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Freelancers and Independent Animators
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Advertising Agencies
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
  • Others
    • Overview
    • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Region, Forecast Period up to 10 Years, (US$ Bn)

  • Overview
    • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
    • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
    • Regional Trends
  • North America
    • Market Size and Forecast (US$ Bn), By Type, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Application, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By End-User Industry, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
      • U.S
      • Canada
  • Asia Pacific
    • Market Size and Forecast (US$ Bn), By Type, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Application, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By End-User Industry, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
      • India
      • Japan
      • South Korea
      • China
      • Rest of Asia Pacific
  • Europe
    • Market Size and Forecast (US$ Bn), By Type, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Application, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By End-User Industry, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
      • UK
      • Germany
      • France
      • Russia
      • Italy
      • Rest of Europe
  • Latin America
    • Market Size and Forecast (US$ Bn), By Type, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Application, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By End-User Industry, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
      • Brazil
      • Mexico
      • Rest of Latin America
  • Middle East and Africa
    • Market Size and Forecast (US$ Bn), By Type, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Application, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By End-User Industry, Forecast Period up to 10 Years
    • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
      • GCC
      • Israel
      • South Africa
      • Rest of Middle East and Africa

Competitive Landscape

  • Heat Map Analysis
  • Company Profiles
  • Adobe Inc.
  • Autodesk Inc.
  • NVIDIA Corporation
  • Pixar Animation Studios
  • DreamWorks Animation
  • Walt Disney Animation Studios
  • Unity Technologies
  • Epic Games Inc.
  • Alibaba Group
  • Baidu Inc.
  • Alibaba Cloud
  • Ziva Dynamics
  • Reallusion Inc.
  • DeepMotion Inc.
  • Runway AI

The Last Word

  • Future Impact
  • About Us
  • Contact

FAQs

Generative AI in Animation Market was valued at US$ 8.9 Billion in 2024 and is projected to grow at a CAGR of 36.1% to reach US$ 147.5 Billion by 2034

The Generative AI in Animation Market is segmented into Type, Component, Application, End-User Industry and Region.

Factors driving the market include Increasing Demand for High Quality Content Production, Personalization and Interactive Experiences, and Developments in AI and Machine Learning Technology.

The Generative AI in Animation Market's restraints include Ethical Concerns and Intellectual Property Issues, and Limited Creative Flexibility in AI Tools.

The Generative AI in Animation Market is segmented by region into North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa. North America is expected to dominate the Market.

The key players operating the Generative AI in Animation Market include Adobe Inc., Autodesk Inc., NVIDIA Corporation, Pixar Animation Studios, DreamWorks Animation, Walt Disney Animation Studios, Unity Technologies, Epic Games Inc., Alibaba Group, Baidu Inc., Alibaba Cloud, Ziva Dynamics, Reallusion Inc., DeepMotion Inc., and Runway AI.