LeadLeo
LeadLeo Research Institute, in collaboration with Frost & Sullivan, released the“2023China Space Rendering Market Report”, tracking the development trends of the space rendering market
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LeadLeo Research Institute, in collaboration with Frost & Sullivan, released the“2023 China Space Rendering Market Report”. The research topic of this market report is the 2023 China space rendering market, focusing on capabilities such as space rendering toolchains, deployment solutions, and AI technology integration. The research period is the first half of 2023. This research project will focus on sorting out information such as application characteristics, market characteristics, and competitive trends of space rendering platforms in fields such as industrial design, architectural design, film and television media, gaming, healthcare, education and training, transportation, and government affairs. It will also make speculations or predictions about the market development prospects from the dimensions of value creation and technological development.
Space rendering and multi-scenario integration broaden the user coverage range, enrich usage scenarios, attract loyal paying users, and enhance user stickiness through value-added services.
Traditional rendering work environments share many common characteristics, such as over-reliance on local computing hardware resources, installation of rendering software and tools in each device, long rendering cycles, single hardware operation, resource sharing barriers, etc. In a local operation environment, rendering teams often face pain points in multiple aspects such as computing power, efficiency, consistency, delivery, and operation and maintenance. In the face of rendering work in large-scale and complex scenarios, they are increasingly overwhelmed, and there are problems such as uneven resource load and low rendering efficiency caused by peak and valley operation demand. There is an urgent need for more flexible and scalable rendering solutions.
Against this background, the application and maturity of cloud computing power provide rich solutions to the problem of low rendering work efficiency, and the application of cloud rendering platforms and distributed rendering systems has greatly improved rendering performance. From the perspective of computing power, space rendering can better match the computing and memory ratio requirements of rendering work; from the perspective of cost, space rendering solutions support on-demand use and pay-as-you-go under the cloud computing service model. With the maturity of cloud rendering solutions, rendering has become a core technology sector supporting the realization of the metaverse industry, rapidly penetrating into diversified industries such as gaming, film and television, digital twins, smart cities, and digital humans.
The mature application of space rendering architecture helps users effectively cope with large-scale rendering scenarios and improve rendering efficiency and resource utilization.
The core demands faced by space rendering tools and related services in diversified application scenarios are mainly reflected in resource allocation adaptability, rendering quality presentation, basic security configuration, and terminal experience presentation. Specifically, they are reflected in the evaluation dimensions of cloud resource support for multiple concurrent requests, high-performance rendering effectiveness, rendering effectiveness in complex scenarios, deep interaction, content and data privacy protection, diversified terminal experience effectiveness, and terminal user-side configuration adaptation. Therefore, the space rendering toolchain and supporting services should not only fully cover the demand points of effect presentation by rendering solution purchasers but also actively explore and lead the evolution of visual audiences' perception of rendering forms.
With cloud rendering becoming the main rendering method, the requirements for computing infrastructure in rendering work have also increased significantly, especiallyin 3D rendering scenarios, the basic performance requirements in terms of computing power configuration and balanced deployment, request response speed, and latency exceed the needs of ordinary cloud computing operations; in scenarios such as gaming and metaverse communities where real-time interaction is more significant, visual audiences have increasingly extreme requirements for resolution and transmission bitrate, and the performance of infrastructure storage, computing, and invocation is under greater pressure.
Dual favorable factors from industry and market promoteThe development of 5G technology has improved the communication efficiency between the rendering environment and terminals on one hand, and at the same time, it gives full play to the advantages of the real-time rendering cloud stream architecture.
Compared with offline rendering and local rendering modes, space rendering platforms greatly meet users' application expectations for rendering real-time performance in high-interaction scenarios. Combined withthe transmission advantages of high bandwidth, low latency, and multiple channels of 5G technology, cloud rendering platforms reduce the information transmission latency between the rendering end and the terminal, promote the popularization of lightweight terminals, and at the same time achieve extensive docking with diversified terminals, helping rendering teams reach the 3D applications hosted in the cloud in real time and achieve one-click publishing.
In addition, based on5G transmission channels, the rendering content hosted on the platform side does not need to be downloaded and transmitted locally. While reducing the loading time cost of the rendering workflow, it avoids the risks of illegal and insecure content transmission and improves the security of rendering business assets.
With the popularization of cloud rendering private deployment solutions in healthcare and education and training scenarios,the construction of 5G private networks has become a necessary part of the layout of XR real-time cloud rendering platforms. By establishing high-speed transmission communication links between the XR rendering environment, edge nodes, 5G network, and visual terminals, rendering teams can implement a cloud stream technology architecture that synchronously outputs in parallel and serial on the rendering end and visual experience end, supporting ultra-high-definition and smooth interactive immersive visual content experiences on diversified terminals.
For rendering scenarios with high requirements for interactive real-time performance and security and stability,5G private network private cloud rendering deployment solutions can better exert the characteristics of real-time rendering and achieve optimal communication between terminals and rendering platforms.
The application of intelligent technology in the field of space rendering has formed a rendering operation optimization solution that tends to be more fine-grained in visual experience and creative release, widely providing rapid iteration rendering results for design-oriented scenarios and visual effect-oriented scenarios.
The application of artificial intelligence and machine learning technology in rendering platforms has developed from initial rendering detail tuning to lightweight content generation suggestions, and combined with the rapid iteration of generativeAI technology, the rendering operation process cycle has been shortened, accelerating the release of rendering effects. The embedding of intelligent generation and tuning tools in rendering platforms helps rendering business teams liberate productivity and focus on creativity in fields such as industrial design and architectural design. It also helps to optimize the visual effects of film, television, animation and other entertainment scenarios in fine detail.
· AI tools automate rendering operations
AI tools improve rendering efficiency by automatically tuning details such as effect production material maps, textures, and lighting, and enhance rendering flexibility by quickly generating physical comparison models and keyword effect tuning.
· AI algorithm tuning helps to strengthen rendering performance
By constructing a dataset for multiple complex scenarios and continuously analyzing and training the dataset,AI models can autonomously learn the rendering convergence process, and the actively tuned inference process not only optimizes the noise reduction effect but also improves the rendering texture and accuracy.
· AI rendering solutions improve resource utilization
The application of AI offline rendering acceleration solutions, on the basis of optimizing the rendering operation process and effect, further reduces the end-to-end rendering time cost. Compared with ordinary cloud rendering solutions, they can significantly improve concurrent computing performance, greatly shorten the proportion of rendering duration, and support a better process solution compared with de-noising technology.
Terminal devices at the entry point of rendering content will be more lightweight, suitable for wide-area applications, have long battery life, and integrate virtual and real elements. Technological innovations on the device side in aspects such as display panels and interaction modes are more conducive for visual audiences to fully experience the effectiveness of rendering content.
The development of terminal entry points will gradually break through application duration and space limitations, especially wearable devices, which will show more lightweight and seamless operation characteristics. In terms of visual display, requirements that fit the human eye will be put forward in aspects such as brightness, display effect, and visual impact. Technological breakthroughs on the display panel side can reduce complex production processes, integrate the advantages of different optical waveguide technologies, and bring a better visual experience. At the interaction level, the technical model will tend to be multimodal and refined, breaking through the interaction model mainly based on upper limbs and gradually transitioning to an interactive mechanism that integrates upper and lower limbs, eye movements, and facial movements, more fully demonstrating the rendering effectiveness.
LeadLeo Research Institute, in collaboration with Frost & Sullivan, conducted a multi-factor hierarchical evaluation of the competitiveness of the China space rendering market based on two evaluation dimensions: growth index and innovation index. Scores were given by“Innovation Index” and “Growth Index” , with Alibaba Yuanjing, Weiling Times, Ruian Technology, etc. ranking in the leading echelon of the China space rendering market.
Alibaba Yuanjing: Alibaba Yuanjing is a leading cloud stream operating system and metaverse computing architecture for the next-generation Internet in China, founded by Alibaba Group. Focusing onrelated scenarios such as the development, deployment, and operation of 3D real-time interactive content and applications, it provides cloud stream infrastructure, content development tools based on AIGC technology, real-time cloud rendering platforms, and commercial operation platforms. It has served benchmark customers in multiple fields such as commercial retail, e-commerce, cultural and creative tourism, industrial fields, pan-entertainment, education, and government affairs.
Weiling Times: Weiling Times continues to promote technology research and development, application implementation, and partner collaboration in the field of space rendering, and continuously empowers downstream developers. Based on a comprehensive rendering toolchain and software and hardware architecture, Weiling Times has made multi-point layouts in industries such as cloud gaming, real-time rendering, digital humans,AI computing, and cloud desktop. Weiling Times actively promotes ecological collaboration upstream and downstream of the industrial chain, grasps the empowerment of AI technology for the production pipeline of space rendering content, collaborates with domestic and foreign partners to jointly build a space rendering cloud-native ecosystem, accumulates more than 150 software copyrights in the field of intellectual property rights, and has obtained about 100 trademark certificates.
Ruian Technology: Ruian Technology has launched an exclusive cloud rendering brand. In the field of visual rendering cloud computing, it has independently developed core cloud computing technologies, penetrated into the upstream and downstream of the space rendering industry chain, and built independent research and innovation advantages in aspects such as cloud computing operating systems, virtualization technology, cross-continental high-speed data transmission technology, physical rendering underlying and platform layer technology, etc., promoting the full localization of visual cloud computing underlying technologies. In practice, Ruian Technology's technology stack has not only been widely applied in the field of visual cloud computing but also its high-speed secure and large-capacity one-stop enterprise large-file transmission solution has been widely and deeply applied in fields such as communication, finance, medical care, high-end manufacturing, and artificial intelligence. In addition, Ruian Technology actively participates in practical exchange activities and holds competitions in the space rendering industry, strengthening its industrial influence while exploring the development potential of the industry.
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“2023 China Space Rendering Market Report
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