On September 16, at Lianqiuhu, Shanghai, Huawei eKit hosted a highly anticipated intelligent transformation conference that will significantly impact a vast number of enterprise customers.
Over the past year, Huawei eKit launched its 4+10+N scenario-based solutions, introduced over 80 products, and achieved global shipments exceeding 4 million units. In the Chinese market, 16 diamond partners upgraded from single-product authorization to full-product authorization, resulting in a remarkable 98% surge in performance.
However, new challenges are also emerging. As large models and AI agents accelerate their integration into enterprises, AI is redefining network, storage, and security infrastructure: systems need to be more stable and efficient, yet they are also becoming increasingly complex. For the vast number of enterprise customers with limited technical capabilities, how can they acquire these capabilities without bearing the accompanying complexity?
What answer does Huawei eKit provide? Yang Chaobin, Managing Director of Huawei and CEO of ICT BG, pointed out in his speech: 'We adhere to the principle of keeping the complexity to ourselves and leaving the simplicity to our customers and partners. Through ubiquitous connectivity and pervasive intelligence, we aim to benefit all industries and make the intelligent world within reach.'
Centered around this concept of simplicity, Huawei eKit has rolled out several major initiatives: upgrading the 4+10+N scenario-based solutions with the principles of simplifying complexity, out-of-the-box usability, intelligent operation and maintenance, and quality for all, launching 20 new products, opening 50 benchmark sites, and releasing the Jingwei Plan. By connecting over 15,000 engineering partners nationwide, it aims to build a sales and service network covering 300 cities across the country.
You might also be curious: as AI makes enterprise infrastructure increasingly complex, how does Huawei eKit repackage these complex capabilities and deliver them to enterprise customers in a simpler, more accessible, and more easily scalable manner?
AI Entering All Industries,a Complexity Challenge Emerges
If we look back a few years, the intelligent transformation needs of many enterprise customers outside of large enterprises were relatively simple. If wireless network coverage was poor, they would add APs; if video surveillance was needed, they would deploy cameras and recording equipment; as office data grew, they would consider storage.
However, AI is breaking this relatively independent state. First, the traffic generated by large models and AI agents features long connections and high-frequency interactions; network packet loss and latency will increase token consumption. Second, as enterprises build their own knowledge bases, multimodal data is expanding rapidly, driving storage toward more unified and efficient data management. Finally, generative AI is changing the paradigm of security offense and defense, making the security boundaries between networks, terminals, and data increasingly blurred.
Meanwhile, a vast number of enterprise customers are also ushering in a new window for intelligent development. The 15th Five-Year Plan for Promoting the Development of Small and Medium-Sized Enterprises released by the Ministry of Industry and Information Technology and nine other departments proposes that by 2030, the overall development of SMEs in China will achieve simultaneous growth in quantity and quality, with the number of specialized, refined, distinctive, and innovative little giant enterprises reaching 22,000, and national-level characteristic industrial clusters for SMEs reaching 600.
It is foreseeable that in the coming years, intelligent transformation will become a key lever for more enterprises to enhance their competitiveness. Opportunities are expanding, but challenges are also becoming more prominent: single-function products mean that a single project requires purchasing more equipment and multiple site visits by engineers; a greater variety of vendor brands means that it is difficult to achieve synergy among different devices; and a lack of intelligent tools means that configuration and operation and maintenance highly depend on engineers' experience.
These issues all point to the same contradiction: underlying technologies are becoming increasingly complex, while enterprise customers need simpler ways to use them. For these customers, good technology is not about having as many functions as possible, but rather ensuring that as functions increase, the number of devices does not grow and deployment does not become more difficult.
Therefore, this upgrade by Huawei eKit does not continue to emphasize capability stacking, but rather focuses on how to simplify.
Four Characteristics:How Huawei eKit Repackages Complex Capabilities
This time, Huawei has summarized the 4+10+N scenario-based solutions into four characteristics: simplifying complexity, out-of-the-box usability, intelligent operation and maintenance, and quality for all. These four directions correspond to the four most typical types of complexity faced by enterprise customers: device complexity, integration complexity, operation and maintenance complexity, and long-term usage cost complexity.
The first characteristic is simplifying complexity. In the enterprise office scenario, the AR281 network and security converged all-in-one machine integrates five functions—video recording, routing, wireless control, dedicated line access, and internet behavior management—into a single set of hardware. For budget hotels, the HotelBox F1004 integrates the gateway, enterprise ONT, wireless controller, aggregation switch, and portal authentication into a single device, saving 66% of cabinet space. The work that originally required the procurement, installation, debugging, and maintenance of multiple sets of equipment is being recompressed by Huawei eKit.
The second characteristic is out-of-the-box usability. The newly released digital diagnosis and treatment IT platform integrates FusionCube Nemo 630 hyper-converged infrastructure, storage, and network into a unified delivery. A single system supports various medical services, reducing the service launch cycle from one month to one week. What Huawei aims to do is to shift more of the integration work that used to be done on-site into the solution design phase in advance.
The third characteristic is intelligent operation and maintenance. The Xiaoling AI agent is integrated into three processes: configuration quoting, network construction, and troubleshooting. During the project planning phase, it can generate quotation sheets and solution renderings based on requirements; during the system provisioning phase, it can understand network construction intentions and complete cross-device configurations; during operation, it can assist in locating network faults. Work that originally relied heavily on engineers' personal experience is gradually being embedded into intelligent tools. This is highly attractive to the enterprise market.
The fourth characteristic is quality for all. The newly released IdeaHub B3 Base emphasizes over 60 environmental tests, while the enterprise-grade Wi-Fi 7 router Aura10 highlights performance, antenna design, and aesthetic experience. For enterprises, frequent device failures and repeated engineer site visits are essentially hidden costs. Therefore, quality for all means bringing the reliability, maintainability, and long-term user experience that large enterprises highly value down to a broader market.
When we put these four characteristics together, a relatively clear strategy emerges: Huawei eKit is not simply shrinking down the complex technologies of large enterprises and selling them to customers, but rather redesigning the way these technologies enter enterprises. Capabilities are still increasing, but the number of devices, deployment difficulty, maintenance threshold, and usage costs must be reduced as much as possible.
However, these four characteristics only solve the problems of the products and solutions themselves. The real difficulty in the market lies in whether a good solution can truly cover a vast number of geographically dispersed customers.
Three Releases:How Huawei eKit Replicates Simple Solutions Across Millions of Enterprises
If the four characteristics are about making things simple, then the three major initiatives are about solving how to replicate this simplicity.
The first initiative is upgrading the 4+10+N one-stop scenario-based solutions and launching 20 new products. It addresses the most fundamental issue of availability. Intelligent transformation is difficult to rely on the free combination of general-purpose equipment. Therefore, Huawei eKit forms product combinations around scenarios such as offices, hotels, and healthcare, essentially turning the solution design that was previously left to integrators to complete on the spot into replicable, standardized offerings.
However, having a solution does not mean customers dare to use it. Thus, Huawei eKit has opened 50 benchmark sites to provide enterprises with visible and learnable practical references. Customers care about whether others have used it, what the results were, and whether they will encounter problems if they follow suit. Therefore, the benchmark sites transform an abstract solution into a referable practical path, reducing customers' decision-making costs.
Further down the line comes the most realistic issue of accessibility. The newly released Jingwei Plan proposes identifying over 10,000 grids in 300 domestic cities and connecting more than 15,000 engineering partners, greatly bridging the gap between Huawei eKit and end users while improving service response speed. Because there are numerous enterprises with limited individual scale and high geographical dispersion, it is difficult for any single vendor to achieve full coverage relying solely on its direct sales team.
Therefore, the 20 new products, 50 benchmark sites, and the Jingwei Plan actually form a complete chain: first making the solution usable, then making the practice learnable, and finally making the service accessible. This is also why the difficulty of intelligent transformation is not just about creating a single successful case; the real challenge is whether the first benchmark can be replicated to the thousandth, without costs spiraling out of control during the replication process.
Viewed from this perspective, we can see that Huawei eKit's strategic intention is increasingly and clearly pointing towards scalability.