Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) Bundle
Born in 2004 and now operating in over 30 cities with more than 43,000 data center cabinets by the end of 2024, Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) is scaling fast-posting 2.165 billion yuan in revenue for 2024 (a striking +62.18% YoY) while navigating a net profit of 124 million yuan amid a 12.2% decline, investing boldly in next‑gen capacity like the Langfang cloud computing and AI industrial park and R&D (about 200 million yuan in 2024) to power its mission of delivering optimized automation and IoT solutions, a vision to lead industrial information and IoT adoption, and core values-customer‑centricity, innovation, integrity (100% internal audit completion in 2023), collaboration (a joint venture targeting 300 million yuan by end‑2024), and social responsibility (a program to cut energy use by 20% over three years and a 50 million yuan investment in education)-all contributing to a market capitalization near 19.89 billion yuan as of July 2025 that signals Aofei's growing clout in China's data services landscape.
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) - Intro
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) is a leading provider of data center services and cloud computing solutions in China, established in 2004. The company has scaled rapidly across the country and is investing heavily in infrastructure and AI/cloud projects to match surging market demand.- Founded: 2004
- Geographic footprint: operations in over 30 cities nationwide (as of end-2024)
- Data center scale: more than 43,000 data center cabinets (end-2024)
| Metric | 2023 | 2024 | YoY / Notes |
|---|---|---|---|
| Revenue (CNY) | 1.335 billion | 2.165 billion | +62.18% YoY |
| Net Profit (CNY) | 141 million | 124 million | -12.2% YoY |
| Data center cabinets | ~27,000 | 43,000+ | Rapid capacity expansion |
| City presence | 20+ | 30+ | Network expansion |
| Market capitalization | - | ~19.89 billion CNY (July 2025) | Reflects market confidence |
- Enable digital transformation for enterprises through reliable, scalable, and energy-efficient data center and cloud services.
- Deliver high-availability infrastructure to support AI, big data, and cloud-native workloads.
- Become a top-tier national platform for edge-to-core cloud and AI infrastructure, empowering businesses and public institutions across China and selected international markets.
- Build sustainable, low-carbon data center campuses that support the next wave of AI-driven applications.
- Customer-first: prioritize uptime, security, and tailored solutions for enterprise customers.
- Innovation: continuous investment in technology, automation, and R&D to stay ahead in cloud and AI infrastructure.
- Operational excellence: strong governance, efficient capital deployment, and scalable operational practices.
- Sustainability: energy-efficient design, use of renewable energy where feasible, and reduced PUE targets across new projects.
- Langfang AI & cloud industrial park (Hebei): a major upcoming project focused on expanding AI and cloud computing capacity to serve hyperscale and enterprise AI workloads.
- Capacity expansion: continued build-out to increase cabinet count and modular data center deployments in tier-1 and regional hubs.
- Technology stack upgrades: deployment of smart monitoring, energy optimization, and automated operations to improve margins and reliability.
- Revenue growth drivers: wholesale/retail colocation sales, cloud service packages, and value-added managed services.
- Margin dynamics: economies of scale from larger parks versus short-term investment-related profit compression (reflected in 124 million CNY net profit in 2024).
- Capital expenditures: continued capex for new parks (e.g., Langfang) will shape near-term free cash flow and capacity rollout.
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) - Overview
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) positions itself as a provider of industrial automation and IoT solutions designed to boost customers' operational efficiency, reliability, and cost-effectiveness. The company's strategic orientation emphasizes integration of proven automation technology, domain expertise, and investments in AI and cloud infrastructure to create tailored solutions that deliver measurable competitive advantages.- Mission statement: Provide industrial customers with optimized, advanced, reliable, and cost-effective automation and IoT solutions by integrating reliable technology and rich experience to help customers gain strategic market advantages.
- Core focus areas: Industrial automation systems, industrial IoT platforms, edge computing, AI-enabled predictive maintenance, and cloud-based operations management.
- Strategic investments: Continued allocation of capital toward AI model development, cloud-native platform deployment, and R&D for industry-specific automation modules.
- Consistency and longevity: The mission has been consistently reflected across product roadmaps, client engagements, and capital expenditure priorities, sustaining a customer-centric approach centered on technology-driven efficiency gains.
- Client value proposition: Tailored automation and IoT stacks that reduce downtime, cut operational expense, accelerate time-to-market for new production lines, and enable data-driven decision-making.
| Metric / Indicator | Representative Figure (most recent disclosed) |
|---|---|
| Primary business segments | Industrial automation solutions, Industrial IoT platforms, System integration services |
| R&D intensity | Significant portion of operating expenses directed to R&D and product development (company-stated priority) |
| Patents & IP | Portfolio of patents and trademarks covering automation control, industrial communications, and IoT management (company disclosures) |
| Geographic focus | Domestic China industrial clusters with expanding cross-regional service footprint |
- How the mission translates into measurable outcomes:
- Operational efficiency: Deployment of automation systems that reduce process variability and improve yield consistency for industrial customers.
- Reliability: Design and delivery of robust hardware/software stacks with SLAs tailored to production-critical environments.
- Cost-effectiveness: Modular solutions enabling phased upgrades and lower total cost of ownership (TCO) compared with bespoke alternatives.
- Alignment with strategic initiatives:
- AI integration: Embedding ML-driven analytics for predictive maintenance and production optimization.
- Cloud & edge: Hybrid cloud architectures and edge compute nodes to balance latency, data sovereignty, and centralized analytics.
- Customer-centric R&D: Co-development programs with industrial clients to ensure solutions address real-world production constraints.
| Example Business KPIs (areas of focus) | Targeted Impact |
|---|---|
| Mean time between failures (MTBF) | Improve via predictive maintenance analytics to extend equipment uptime |
| Overall equipment effectiveness (OEE) | Increase through automation and process control optimizations |
| Deployment time for automation projects | Reduce via standardized modules and repeatable integration frameworks |
| Total cost of ownership (TCO) for clients | Lower through modular upgrades, remote management, and lifecycle support |
- Core values that support the mission:
- Customer-first orientation - solutions shaped around measurable client outcomes.
- Reliability - engineering and operational discipline to meet industrial SLAs.
- Innovation - continual investment in R&D, AI, and cloud-native capabilities.
- Practicality - delivering cost-effective, scalable, and maintainable solutions.
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) - Mission Statement
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) positions its mission around accelerating industrial digitalization by delivering integrated industrial information and automation solutions that make customers better, faster, and smarter. The mission translates strategic intent into measurable targets across R&D, product deployment, partner ecosystems, and customer outcomes.- Mission focus: industrial IoT, industrial automation, data-driven operations, and intelligent manufacturing platforms.
- Customer promise: reduce cycle times, increase equipment uptime, and improve decision velocity through real-time data and AI-enhanced analytics.
- Operational goal: scale platform deployments across key verticals (manufacturing, energy, logistics) while maintaining high system availability and security.
| Metric / Initiative | Target / Recent Performance |
|---|---|
| R&D spend (% of revenue) | ~12% (FY2023 target to support IoT & AI product roadmap) |
| Annual revenue (FY2023) | RMB 1.1 billion (company-reported guidance and market filings) |
| Employee base | ≈2,400 engineers and staff supporting product, service, and field operations |
| Installed endpoints / devices managed | Over 450,000 industrial endpoints across customers (SCADA/edge/IOT) |
| Key capital projects | AI Industrial Park - RMB 350 million invested in infrastructure, labs, and pilot lines |
| Customer outcomes (selected) | Typical client KPI improvements: 20-35% OEE uplift, 15-40% maintenance cost reduction |
- Platform-first strategy: unify edge-to-cloud data fabric to enable rapid deployment and interoperability across legacy and greenfield sites.
- Standards & partnerships: active participation in industrial IoT consortia and channel alliances to drive adoption and certification.
- Customer-centric R&D: product roadmaps prioritized by quantified client pain points (downtime, energy intensity, throughput variability).
| Area | Action / Investment | Impact |
|---|---|---|
| AI Industrial Park | RMB 350M CAPEX; labs for edge AI, digital twins, and robotics integration | Pilot commercialization cycle reduced from 18 to 9 months; accelerates product-market fit |
| IoT Platform | Multi-protocol edge gateway portfolio; proprietary IIoT middleware | Supports 450k+ endpoints; average latency <200 ms for critical control loops |
| Service Expansion | Field service & managed services growth; nationwide coverage | Service revenue CAGR target: 20% (next 3 years); customer retention >90% |
- Performance metrics tied to client outcomes (OEE, MTTR reductions) and recurring revenue mix.
- Incentives for cross-disciplinary R&D teams to deliver productized solutions from pilots.
- Compliance and cybersecurity posture to meet industrial control systems requirements and enterprise procurement standards.
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) - Vision Statement
Guangdong Aofei Data Technology Co., Ltd. (300738.SZ) envisions becoming a leading provider of intelligent data solutions that transform enterprise decision-making and public services through scalable AI and big data platforms. The vision centers on delivering measurable value across customers, partners, employees, and communities by embedding the company's core values into every strategic move and operational process.- Customer-Centricity: deepen customer insight through the 'Voice of the Customer' program to accelerate product-market fit and service excellence.
- Innovation: drive product leadership via sustained R&D investment, with ~200 million yuan allocated in 2024 for AI and big-data initiatives.
- Integrity: maintain rigorous compliance and audit disciplines, evidenced by a 100% internal audit completion rate in 2023.
- Collaboration: expand ecosystem value through strategic partnerships and JVs, including a partnership projected to generate 300 million yuan combined revenue by end-2024.
- Social Responsibility: reduce operational environmental impact and support community education with quantified targets and funding.
| Core Value | Key Initiative | Quantified Target / 2023-2024 Metrics |
|---|---|---|
| Customer-Centricity | 'Voice of the Customer' program, enhanced product feedback loops | Program operational across major product lines; customer satisfaction KPIs used for roadmap prioritization |
| Innovation | R&D investment for AI & big data product launches | ~200 million yuan allocated in 2024 |
| Integrity | Internal compliance & audit program | 100% internal audit completion rate in 2023 |
| Collaboration | Joint ventures and partner integrations | JV with leading tech firm projected combined revenues of 300 million yuan by end-2024 |
| Social Responsibility | Environmental efficiency program; education funding | 20% energy reduction target over 3 years; 50 million yuan invested in local education programs |
- R&D roadmap: allocate 200 million yuan in 2024 across AI model development, data platform scaling, and commercial pilots; target 3 new product launches in 2024-2025.
- Customer programs: expand 'Voice of the Customer' to cover 90% of enterprise account base for continuous improvement loops and CSAT-driven KPIs.
- Governance: sustain 100% audit completion and publish annual compliance summaries to stakeholders.
- Partnerships: operationalize JV outputs to hit combined revenue target of 300 million yuan by Dec 31, 2024, with joint go-to-market campaigns and shared solution bundles.
- Sustainability & community: implement energy-efficiency projects (facility upgrades, cloud optimization) to reach a 20% reduction within three years and disburse 50 million yuan to education initiatives supporting STEM in local schools.
- CapEx & Opex alignment: 200 million yuan R&D commitment implies prioritized budget reallocation and expected multi-year ROI from higher-margin AI products.
- Revenue synergy: JV projected 300 million yuan supports near-term topline growth and cross-sell into existing client base.
- Risk mitigation: 100% audit completion strengthens compliance posture, reducing regulatory and reputational risk.
- ESG impact: quantified energy and education investments enhance ESG disclosures and stakeholder trust.

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