Press release
Emerging Innovations Set to Redefine the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market Landscape Through 2029
How Large Is the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market Anticipated to Become by 2025?The market valuation for generative artificial intelligence solutions applied to three-dimensional assets has experienced rapid expansion lately, escalating from a figure of $1.89 billion in 2024 to a projected $2.47 billion by 2025, reflecting a robust compound annual growth rate of 31.0%. This substantial upward trajectory during the past period stems from several key factors, notably the escalating demand for deeply engaging gaming environments, the broader adoption of AI technologies across media and entertainment sectors, burgeoning interest in virtual reality platforms and metaverse environments, the increasing necessity for dynamic product representations in online retail, and enhancements in the efficiency of generating animations and visual effects.
What Market Value Will the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Industry Attain by 2029?
Anticipated to surge dramatically over the coming years, the market encompassing generative artificial intelligence (AI) for three-dimensional (3D) assets is projected to achieve a valuation of $7.21 billion by the year 2029, reflecting a compound annual growth rate (CAGR) of 30.7%. This uptrend during the projection timeframe is supported by several factors, notably heightened capital allocation toward digital twin technologies, a greater requirement for engaging educational materials, the escalating necessity for swift content creation across the gaming and entertainment sectors, augmented deployment of AI for automating design processes, and broadening enthusiast engagement with the metaverse and immersive environments. Key developments shaping this period involve sophisticated developments in AI-powered 3D modeling utilities, novel approaches to procedural content creation, merging AI capabilities with rendering engines operating in real time, progress in generating 3D assets directly from textual prompts, and innovations enhancing the realism of textures and animated sequences.
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What Are the Key Factors Driving Growth in the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market?
The burgeoning need for electronic commerce and digital promotional activities is anticipated to fuel the expansion of the market dedicated to generative artificial intelligence (AI) for creating three-dimensional (3D) assets. This surge in online selling and promotion stems from a heightened consumer desire for engaging product representations, such as the ability to examine items in 3D or augmented reality prior to finalizing a purchase, which consequently boosts shopper assurance and interaction during digital acquisitions. Generative AI for 3D content empowers enterprises in the e-commerce and marketing spheres by facilitating the production of lifelike 3D product representations, immersive digital display areas, and compelling interactive advertisements, often circumventing the necessity for substantial manual design work. To illustrate this scale, data from the International Trade Administration, a US governmental body, indicated in November 2023 that the United Kingdom possessed the third largest global e-commerce sector, with projected revenues set to climb to $285.60 billion by 2025, constituting 36.3% of all retail transactions. Consequently, the escalating reliance on online sales and associated marketing is directly propelling the market trajectory for generative AI solutions tailored for 3D assets.
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What Are the Major Trends Influencing Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market Growth?
Leading firms within the competitive landscape of generative artificial intelligence tailored for three-dimensional (3D) assets are heavily invested in creating foundational models capable of translating text or images directly into 3D content, with the dual aims of speeding up asset production cycles and achieving significant cost reductions. These text-to-3D and image-to-3D open-source foundation models represent substantial neural network infrastructures, having been trained on massive datasets comprising both two-dimensional and three-dimensional information; these models possess the capability to generate synthesized meshes, material properties, and surface textures directly responding to prompts in plain language or based on input visuals, all while making their underlying code and trained parameters publicly available for broader community utilization and further enhancement. A concrete example of this trend is Tencent Holdings Ltd., a major technology corporation hailing from China, which in March 2025 introduced a suite of five open-source 3D generation models built upon their Hunyuan3D-2.0 framework, featuring specialized turbo versions engineered to render detailed 3D visualizations in approximately thirty seconds, specifically targeting professional game developers and designers; due to their open availability, exceptionally swift thirty-second rendering speed, coupled with enhanced accuracy in textual interpretation, geometric representations, and visual fidelity, this technology facilitates much quicker iterative design processes and substantially lowers the financial outlay associated with content creation, furthermore, its seamless incorporation into current operational pipelines empowers users with an efficient, scalable method for manufacturing 3D assets intended for deployment across gaming platforms, design projects, and simulated realities.
How Are the Key Segments Influencing the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market Outlook?
The generative artificial intelligence (AI) for three-dimensional (3d) assets market covered in this report is segmented -
1) By Component: Software, Hardware, Services
2) By Deployment Mode: Cloud, On-Premises
3) By Asset Type: Characters, Environments, Props, Textures, Animations, Other Asset Types
4) By End-User: Media And Entertainment, Gaming, Architecture, E-Commerce, Education, Other End-Users
Subsegments:
1) By Software: Text To Three Dimensional Generation Software, Image To Three Dimensional Generation Software, Sketch To Three Dimensional Generation Software, Video To Three Dimensional Reconstruction Software, Material And Texture Generation Software
2) By Hardware: Graphics Processing Unit Accelerator Servers, Central Processing Unit Workstations, High Performance Data Storage Systems, High Speed Networking Equipment, Three Dimensional Scanning Devices
3) By Services: Managed Three Dimensional Asset Generation Services, Custom Generative Model Development Services, Data Collection And Annotation Services, Dataset Curation And Quality Assurance Services, Pipeline Integration And Implementation Services
Who Are the Leading Innovators and Market Shapers in the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market?
Major companies operating in the generative artificial intelligence (AI) for three-dimensional (3d) assets market are Microsoft Corporation; Meta Platforms Inc.; Alibaba Group Holding Limited; Amazon Web Services Inc.; NVIDIA Corporation; Adobe Inc.; Dassault Systèmes SE; Hexagon AB; Autodesk Inc.; Trimble Inc.; ANSYS Inc.; Unity Software Inc.; Epic Games Inc.; Bentley Systems Incorporated; Stability AI Ltd.; Reallusion Inc.; Spline Design Studio Inc.; Kaedim Ltd.; Anything World; Tripo AI.
What Are the Emerging High-Growth Regions in the Generative Artificial Intelligence (AI) For Three-Dimensional (3D) Assets Market?
North America was the largest region in the generative artificial intelligence (AI) for three-dimensional (3D) assets market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) for three-dimensional (3d) assets market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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