Global Artificial Intelligence (AI) Rendering Market Set to Achieve $4.94 Billion Milestone with Sustained 25.3% CAGR

What is the present valuation and projected CAGR of the artificial intelligence (ai) rendering market?

The artificial intelligence (AI) rendering market size has grown exponentially in recent years. It will grow from $1.59 $ billion in 2024 to $2 $ billion in 2025 at a compound annual growth rate (CAGR) of 25.7%. The growth in the historic period can be attributed to rise of computer graphics in entertainment, rise of AI in image processing, rise in the entertainment sector, growth in demand for realistic visual effects, and growth in virtual production.

The artificial intelligence (AI) rendering market size is expected to see exponential growth in the next few years. It will grow to $4.94 $ billion in 2029 at a compound annual growth rate (CAGR) of 25.3%. The growth in the forecast period can be attributed to rising popularity and preference for online gaming, increasing need for visually stunning, increasing reliance on advanced rendering software, rising demand for real-time rendering, and increasing focus on consumer engagement. Major trends in the forecast period include technological advancements, real-time rendering, cloud-based rendering services, integration of AI, and augmented reality.

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What key drivers have fueled the artificial intelligence (ai) rendering market’s development over the years?

The rising popularity and preference for online gaming are expected to propel the growth of the AI rendering market going forward. Online gaming refers to playing video games over the internet, either solo or with other players, often in real-time and across various digital platforms. The surge in online gaming is driven by advancements in internet connectivity, the development of sophisticated gaming platforms, and the increasing integration of AI to enhance gaming experiences. AI rendering is required for online gaming to enhance real-time graphics quality and performance, providing a more immersive and visually appealing experience for players. For instance, in February 2022, according to the Department of Foreign Affairs and Trade, an Australia-based government department, the digital games industry generated $226.5 million in revenue in 2021, reflecting a 22% increase compared to 2020. The market is projected to reach $294 billion by 2024. Therefore, rising popularity and preference for online gaming are driving the growth of the AI rendering market.

What is the segmentation for the artificial intelligence (ai) rendering market?

The artificial intelligence (AI) rendering market covered in this report is segmented –

1) By Offering: Software, Services

2) By Deployment Mode: Cloud-Based, On-Premise

3) By Application: Architecture, Gaming, Visual Effects, Product Design, Advertising, Virtual Reality (VR), Augmented Reality (AR)

4) By End-User: Designers, Architects, Animators, Game Developers, Advertisers

Subsegments:

1) By Software: AI Rendering Software for 2D Graphics, AI Rendering Software for 3D Models, Real-time Rendering Solutions, Image Upscaling and Enhancement Tools, Animation Rendering Software

2) By Services: Consulting Services for AI Rendering Solutions, Custom AI Model Development Services, Integration and Implementation Services, Technical Support and Maintenance Services, Training and Education Services

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Who are the most influential companies in the artificial intelligence (ai) rendering market?

Major companies operating in the artificial intelligence (AI) rendering market are Intel Corporation, NVIDIA Corporation, Adobe Inc., Autodesk Inc., Unity Technologies, Epic Games Inc., Bentley Systems Incorporated, Pixar Animation Studios, SideFX Software, SketchUp Inc., Chaos Group, Blender Foundation, Daz 3D Inc., Corona Renderer, Renderosity, OTOY Inc., cebas Visual Technology, Artisto, DeepArt, Bunkspeed, Lumion, Anima, Redshift Rendering Technologies

What are the top industry trends projected to impact the artificial intelligence (ai) rendering market?

Major companies operating in the artificial intelligence (AI) rendering market are focused on developing advanced technology, such as 3D rendering and visualization software, to enhance design processes and improve user experiences. 3D rendering and visualization software refers to creating high-quality, realistic images or animations of objects and environments using AI-powered algorithms. For instance, in April 2024, Dimension 5 Techs, a Canada-based technology company, launched D5 Render 2.7, architectural-focused real-time rendering software. It aims to amplify the workflow for architecture, landscape, and interior designers by leveraging the power of AI and PCG (procedural content generation). D5 Render 2.7 represents a significant leap forward in real-time visualization, empowering designers to bring their creative visions to life with unparalleled ease, efficiency, and realism. With its cutting-edge AI and PCG capabilities, this release sets a new standard in the architectural visualization industry.

What are the major regional insights for the artificial intelligence (ai) rendering market, and which region holds the top position?

Asia-Pacific was the largest region in the artificial intelligence (AI) rendering market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) rendering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

What Does The Artificial Intelligence (AI) Rendering Market Report 2025 Offer?

The artificial intelligence (ai) rendering market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.

Artificial intelligence (AI) rendering refers to the use of artificial intelligence technologies to generate, enhance, or process visual content, such as images or videos. It leverages machine learning and neural networks to automate and improve the process of creating visual content, often resulting in faster production times and higher quality outputs compared to traditional methods.

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