SIE Named a Leader in IDC MarketScape: China Industrial Large Model and Intelligent Agent Solutions Vendor Assessment 2025
Recently, IDC, a world-renowned IT market research and consulting organization, released the report IDC MarketScape: China Industrial Large Model and Intelligent Agent Solutions Vendor Assessment 2025 (Doc#CHC53013925, September 2025). For this assessment, IDC established a rigorous evaluation framework based on dual dimensions of strategy and capability, specifying that selected vendors must meet five core criteria: rich product portfolio, solid implementation experience, comprehensive supporting services, profound foundational accumulation, and robust ecosystem capabilities. Emerging victorious from numerous service providers, SIE has been successfully named a Leader in this assessment. This authoritative recognition fully validates SIE’s cutting-edge leadership in the field of industrial large models and intelligent agent technologies, cementing its benchmark position in the realm of industrial intelligence.
About IDC MarketScape
The IDC MarketScape vendor assessment model is designed to provide an overview of the competitiveness of information and communication technology (ICT) vendors in specific markets. Its research methodology employs a rigorous scoring system combining qualitative and quantitative criteria, illustrated through a single graphical representation to showcase each vendor’s position in the target market. IDC MarketScape offers a clear framework for meaningful comparisons of IT and ICT vendors in terms of their products, services, capabilities, strategies, as well as current and future market success factors. Additionally, it equips technology buyers with a 360-degree assessment of the strengths and weaknesses of current or potential vendors, serving as a valuable reference for procurement decisions.
Since 2025, the industrial intelligence track has reached a critical turning point. On one hand, the promotion of MCP and A2A protocols has further enhanced ecosystem collaboration capabilities, laying a solid technical foundation for the widespread application of industrial intelligent agents. On the other hand, policy support such as the Guidelines on Further Implementing the "AI+" Initiative issued by the State Council has provided clear guidance for industry development. Driven by these dual forces, industrial large models and intelligent agents have evolved from the "concept exploration phase" into the "era of large-scale implementation".
According to IDC data, 19.7% of Chinese manufacturing enterprises have already deployed Agent-based intelligent systems, while 47.9% are advancing Proof of Concept (PoC) testing, indicating a surging demand for AI solutions among enterprises. In this context, IDC emphasized: "When selecting service providers, industry know-how is crucial for the implementation of scenario-specific intelligent agents. It helps avoid the problem of 'fragmented scenarios' that are difficult to replicate, accelerating the development of scalable best practices."
As a professional service provider of AI scenario-based solutions, SIE leverages two decades of deep-rooted experience in the manufacturing industry, with its independently innovated AI technology system at the core, to build a three-dimensional AI layout centered on "technological breakthroughs – scenario implementation – ecosystem collaboration". It has formulated a dual-track strategy featuring "vertical AI integration with industrial mechanisms to anchor industry know-how, and horizontal AI networking to enable cross-system business collaboration".
Furthermore, SIE has deeply integrated large model and intelligent agent capabilities into its project delivery methodology. Combined with its mature implementation capabilities, extensive customer network (covering electronics, home appliances, automotive, and other manufacturing sub-sectors), and professional consulting and change management expertise, SIE provides solid support for the business-oriented implementation of large model applications, further strengthening its competitive moat in the industrial intelligence sector. Its strategic layout is consistently aligned with national industrial upgrading initiatives, adhering to a customer-centric approach based on actual enterprise needs, deeply integrating into the entire manufacturing process, and delivering high-value, scalable AI solutions.
Currently, SIE has successfully implemented AI solutions across multiple industrial scenarios, demonstrating its "Leader" strength through tangible results:
PCB Engineering Document Analysis All-in-One Machine
In response to the urgent demand for intelligence in the PCB industry, SIE has developed and continuously upgraded the "Siemou GPT-based PCB Industry Large Model". This model has been recognized as a typical case of Guangzhou’s "AI+" initiative and honored with awards such as the "Excellent Project Award at the 2024 BRICS Industrial Innovation Competition" and inclusion in the "AI Pioneer Case Collection", establishing itself as a technological benchmark in the industry.
In 2025, building on this foundation, SIE joined hands with Huawei to launch the industry’s first PCB Engineering Document Analysis All-in-One Machine. By intelligently parsing multi-format customer documents, it enables automatic extraction and standardized output of engineering parameters, reducing the traditional manual processing time from 4–6 hours to just 2–4 minutes and significantly improving operational efficiency.
(SIE PCB Engineering Document Analysis All-in-One Machine)
SIE AI Agent Solution
Leveraging its independently developed Siemou GPT platform, SIE has launched intelligent agents across multiple domains including supply chain and enterprise performance management, forming an AI Agent system characterized by "full-level coverage and full-scenario adaptability".
Supply Chain Domain: SIE has rolled out four core AI Agents focusing on order visibility, planning collaboration, procurement compliance, and logistics scheduling, covering over 30 key scenarios. These agents enable automatic order delivery date responses, optimal production resource scheduling, and real-time compliance risk management, boosting overall supply chain operational efficiency by 80%.
Seizing the wave of "Physical AI" technology, SIE has established a strategic partnership with Comma Technology. By deeply integrating Comma Technology’s advanced logistics AI decision-making capabilities, SIE is driving a qualitative leap in its own supply chain solutions. Its digital integrated supply chain products will fully incorporate Comma Technology’s logistics algorithm planning capabilities, leveraging Physical Internet real-time data streams to connect logistics nodes. Combined with objective physical mechanisms and laws, AI-powered intelligent decision-making delivers optimal solutions for supply chain optimization and collaboration, further strengthening SIE’s capability to provide end-to-end services integrating information flow and business flow.
Enterprise Performance Management Domain: Beyond supply chain, SIE is also driving management upgrading through AI Agents. SIE EPM (Enterprise Performance Management) is equipped with five core AI Agents for data application, ad-hoc analysis, forecasting, rule management, and process management. It reshapes the core scenarios of enterprise performance management, helping enterprises break through traditional management models and achieve the goal of real-time business insight and autonomous management strategy optimization.
To further consolidate the technical foundation and implementation capabilities of its AI Agent system, SIE has made a strategic investment in AI enterprise Zhiyong Kaiwu. The two parties are integrating R&D resources to enhance core technical capabilities such as hybrid reasoning, low-threshold Agent development, and multi-agent collaboration. They are focused on the full-level AI Agent implementation path covering "enterprise – department – employee", providing key industry customers with one-stop services spanning "solution design – technology development – implementation and operation". Looking ahead, SIE will leverage its full-stack independent and controllable capabilities encompassing computing power + models + AI toolchain + manufacturing AI modular applications to provide Chinese enterprises with a scalable and implementable path for AI transformation.
SIE AI + Digital Intelligence Operation Platform Solution
Amid the wave of accelerated digital and intelligent transformation in industrial enterprises, the intelligent upgrading of operation management has become a key factor in enhancing enterprise competitiveness. It supports the classified, hierarchical, and graded management of enterprises with multiple business segments, as well as end-to-end management covering R&D, production, supply, sales, and service. SIE’s AI + Digital Intelligence Operation Platform Solution offers an effective approach to addressing the pain points of performance management and operation management for industrial enterprises.
In the field of digital intelligence operation platforms for industrial enterprises, the SIE Digital Intelligence Operation Platform (Supermodel) is built on a robust technical foundation featuring:
Multi-dimensional data integration from source systems (including SAP FI/CO, MES, PMS, CRM, etc.)
Layered data governance (covering ODS raw data layer, DWD detailed data layer, DWS public summary layer, and ADS application data layer)
Collaborative model and rule management (including industrial scenario models, rule logic, and data modeling) with strategic technology partners.
With technology as the cornerstone, empowered by AI, it reconstructs the digital intelligence operation technology system, building an intelligent management hub that "can think, predict, and understand business". Through analytical tools such as BI dashboards, indicator trees, attribution-alert-monitoring mechanisms, and AI intelligent Q&A, it provides in-depth support for the analysis of key indicators (e.g., operating income, gross profit) and multi-dimensional analytical reports (e.g., sales revenue analysis sheet, unit manufacturing cost detailed sheet). This helps enterprises achieve management upgrading from "post-event analysis" to "pre-event prediction".
(SIE Digital Intelligence Operation Platform Technical Architecture Diagram)
SIE Industrial AI Quality Inspection Solution
To address the challenges of high difficulty and low yield in quality inspection for mixed-product assembly lines in manufacturing enterprises, SIE’s Industrial AI Quality Inspection Solution enables its AI vision model to adapt to the inspection requirements of different product categories through deep learning of product appearance standards and quality inspection SOPs, significantly reducing the operational complexity of the quality inspection process.
The solution has delivered outstanding results in practical applications: quality inspection accuracy has stabilized above 99.9%, product yield has increased by 20%, and production tact time has improved by 5%. Taking SIE’s cooperation with Guangdong Homa Refrigerator as an example, SIE built an "AI + Full-Process Quality Control" system, which is expected to generate annual benefits exceeding 10 million yuan.
As the national "AI+" initiative advances in depth, the development opportunities for industrial intelligence are transforming from policy blueprints into industrial practices. Adhering to its mission of "Building a Better New Future of Digital and Intelligent Enterprises", SIE will continue to focus on independently innovated AI technologies, deeply explore the needs of industrial scenarios, develop more implementable and result-driven AI solutions, and lead thousands of industries toward a new era of digitalization and intelligence.
