Overview and Scope
Generative AI in animation refers to the application of artificial intelligence techniques, particularly generative models such as generative adversarial networks (GAN) or variational autoencoders (VAE), to create or assist in the creation of animation content. It enables the automatic generation of realistic characters, backgrounds, or entire scenes, streamlining the animation production process and offering novel creative possibilities.
Sizing and Forecast
The generative AI in animation market size has grown exponentially in recent years. It will grow from $1.28 billion in 2023 to $1.75 billion in 2024 at a compound annual growth rate (CAGR) of 36.2%. The growth in the historic period can be attributed to the automation of animation processes, realistic animations based on real-world footage, experimentation with different animation styles, increased creative productivity, and widespread adoption and integration.
The generative AI in animation market size is expected to see exponential growth in the next few years. It will grow to $6.04 billion in 2028 at a compound annual growth rate (CAGR) of 36.4%. The growth in the forecast period can be attributed to ethical considerations, cross-platform compatibility, interactivity integration, efficiency improvements, realism enhancement and accessibility enhancement. Major trends in the forecast period include procedural animation, style transfer for animation, enhanced scene generation, AI-driven lip sync and real-time character animation.
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Segmentation & Regional Insights
The generative ai in animation market covered in this report is segmented –
1) By Type: Transformers, Generative Adversarial Networks, Variational Autoencoders, Other Types
2) By Components: Solutions, Services
3) By Application: Television And Over-The-Top, Films, Advertisements, Gaming, Other Applications
North America was the largest region in the generative AI in animation market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in animation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The rising gaming industry is expected to propel the growth of the generative AI in animation market going forward. The gaming industry encompasses the development, production, distribution, and monetization of video games across various platforms such as consoles, PCs, and mobile devices. The rising gaming industry can be attributed to increasing accessibility through mobile platforms and a growing global audience embracing gaming as both entertainment and a competitive activity. Generative AI is revolutionizing gaming animation by autonomously creating lifelike characters and environments, enhancing immersion, and reducing development time. Its procedural generation capabilities offer infinite possibilities, shaping dynamic narratives and expansive virtual worlds. For instance, in January 2023, according to the Entertainment Software Association, a US-based trade association of the video game industry, in December 2022, U.S. consumer spending on video game content, hardware, and accessories reached $7.6 billion, up 2% from the same month in 2021 and totaling $56.6 billion for the whole year of 2022. Therefore, the rising gaming industry is driving the growth of the generative AI in animation market.
Key Industry Players
Major companies operating in the generative AI in animation market report are Alphabet Inc.; Microsoft Corporation; Meta Platforms Inc.; Amazon Web Services Inc.; Netflix Inc.; NVIDIA Corporation; Adobe Inc.; Autodesk Inc.; Epic Games Inc.; Pixar Inc.; Wētā FX; The Cinesite Group; Hugging Face Inc; MAXON Computer GmbH; Synthesia A S; Kinetix; Runway AI Inc; AI21 Labs; Descript Inc; Toon Boom Animation Inc.; Side Effects Software Inc.; Wibbitz Inc; Midjourney Inc; Lumen5 Technologies Ltd; RADiCAL Solutions Inc
The generative ai in animation market report table of contents includes:
1. Executive Summary
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