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Analysis Report on the Competitive Position of Zhongbei Communication's 17,000P Computing Power Scale

#zhubei_communication #computing_power_scale #intelligent_computing_service_industry #competitive_position_analysis #customer_structure_analysis #market_performance #development_strategy
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December 16, 2025
Analysis Report on the Competitive Position of Zhongbei Communication's 17,000P Computing Power Scale
Analysis Report on the Competitive Position of Zhongbei Communication’s 17,000P Computing Power Scale
Core Analysis Summary

Zhongbei Communication has an operational computing power scale of over 17,000P, occupying a

medium-scale competitive position
in China’s intelligent computing service industry. Its customer structure shows diversified characteristics, including large cloud service providers, local governments, and scientific research institutions. This combination brings unique advantages and challenges to its business development.

In-depth Analysis of Industry Competitive Position
Comparative Analysis of Computing Power Scale

According to industry data, the computing power scale of China’s intelligent computing service market shows obvious stratification:

Leading Enterprises (50,000P+):

  • Alibaba Cloud: Cloud intelligence business grew by 34% in Q3 2025, with its AI computing power scale far exceeding 100,000P
  • Tencent Cloud: Relying on the Tencent ecosystem, its computing power scale is in the 80,000-100,000P range
  • Huawei Cloud: Ascend AI computing power exceeds 50,000P

Mid-tier Enterprises (10,000-50,000P):

  • Zhongbei Communication (17,000P):
    Located in the upper-middle position of this range
  • Digital Harbor: Data center operator, with an intelligent computing-related scale of approximately 15,000-20,000P
  • 21Vianet: Multi-business lines, with intelligent computing power of approximately 20,000P

Emerging Enterprises (Below 10,000P):

  • Professional AI computing power service providers, with relatively small scales

Zhongbei Communication’s 17,000P computing power scale ranks it around

15th-20th place
in the industry, making it an
important participant in the niche market
, but there is still a significant gap with leading enterprises.

Comparative Analysis of Market Performance

2025 Stock Price Performance Comparison of Intelligent Computing Service Related Companies

From the 2025 stock price performance, we can see [0]:

  • Digital Harbor
    : Total return rate of 78.16%, the market has the highest expectation for its transformation from data center to intelligent computing
  • 21Vianet
    : Total return rate of 76.09%, its multi-business line layout has been recognized by the market
  • Zhongbei Communication
    : Total return rate of -0.88%, relatively flat performance with an amplitude of 64.80%
  • Sinnet
    : Total return rate of -3.11%, facing greater pressure in transforming traditional businesses

Zhongbei Communication’s market performance reflects investors’ cautious attitude towards the

challenges it faces during the transformation process
.

Analysis of the Impact of Customer Structure on Business Development
Customer Structure Characteristics

Zhongbei Communication’s customer portfolio has the following characteristics:

1. Large Cloud Service Providers (Core Customers)

  • Kingsoft Cloud
    : One of the major domestic cloud service providers with stable demand
  • Jieyue Xingchen
    : AI large model company with rapidly growing computing power demand

2. Local Government Agencies

  • Lingang Computing Power
    : Computing power infrastructure project in Shanghai Lingang New Area
  • Qinghai Unicom
    : Cooperation project between local government and operator
  • Jinan Supercomputing Center
    : National-level supercomputing center project
Positive Impact of Customer Structure

1. Enhanced Revenue Stability

  • Large cloud service providers provide
    sustained demand
    with relatively long contract terms
  • Government projects have
    policy stability
    and are less affected by market fluctuations

2. Risk Diversification Through Business Diversification

  • Diversified customer types reduce the risk of dependence on a single customer
  • Complementary demand cycles
    among different customer groups smooth business fluctuations

3. Brand Endorsement Effect

  • Cooperation with well-known cloud service providers has improved market recognition
  • Government projects provide
    policy compliance endorsement
Potential Challenges of Customer Structure

1. Strong Bargaining Power of Large Customers

  • Large customers like Kingsoft Cloud have strong bargaining power, which may compress profit margins
  • The price adjustment mechanism in long-term cooperation agreements is relatively fixed

2. Cyclical Characteristics of Government Projects

  • Local government projects are greatly affected by
    fiscal budget cycles
  • Project approval and payment cycles are relatively long, affecting cash flow

3. Pressure from Technological Upgrades

  • AI companies like Jieyue Xingchen have continuously increasing requirements for computing power technology
  • Continuous investment in equipment upgrades is required to meet customer needs
Evaluation of Competitive Advantages and Disadvantages
Core Competitive Advantages

1. Precise Market Positioning

  • Focus on the niche market of intelligent computing services, avoiding direct competition with giants in general cloud services
  • The 17,000P scale has
    scale effect advantages
    in the niche market

2. High-Quality Customer Resources

  • The customer group covers key links in the industrial chain, forming
    ecological synergy effect
  • Combination of government and commercial customers provides a balance between stability and growth

3. Regional Layout Advantages

  • Layout in regions like Qinghai and Jinan is in line with the national
    Eastern Data Western Computing
    strategy
  • Enjoy policy support and preferential treatment from local governments
Main Competitive Disadvantages

1. Limitations in Capital Strength

  • Compared with giants like Alibaba Cloud and Tencent Cloud, capital investment capacity is limited
  • Expanding computing power scale faces
    capital bottlenecks

2. Insufficient Investment in Technological R&D

  • Relatively limited investment in core technology R&D such as AI chips and algorithm optimization
  • May face the risk of falling behind in technological iteration

3. Limited Brand Influence

  • Compared with leading enterprises, brand awareness and market influence need to be improved
  • At a disadvantage when competing for high-end customers
Development Prospects and Strategic Recommendations
Short-Term Development Strategies

1. Deepen Cooperation with Existing Customers

  • Establish deeper technical cooperation with Kingsoft Cloud and Jieyue Xingchen
  • Expand business share among existing customers

2. Optimize Regional Layout

  • Focus on developing regions with strong policy support such as Qinghai and Jinan
  • Form regional computing power network advantages
Medium- and Long-Term Development Plan

1. Differentiated Competition Strategy

  • Focus on computing power needs of specific AI application scenarios
  • Develop industry-customized intelligent computing solutions

2. Enhancement of Technical Capabilities

  • Strengthen technical cooperation with chip manufacturers and algorithm companies
  • Improve computing power utilization efficiency and energy management capabilities

3. Capital Operation Plan

  • Solve capital bottlenecks through equity financing, industrial cooperation, etc.
  • Explore strategic cooperation opportunities with large enterprises
Risk Tips

1. Policy Risk
: Policy changes in the intelligent computing service industry may affect business development
2. Technical Risk
: Rapid iteration of AI technology poses challenges to existing computing power assets
3. Competition Risk
: Leading enterprises may increase investment in intelligent computing services, squeezing the space of small and medium-sized service providers
4. Capital Risk
: Computing power expansion requires large capital investment, leading to greater financial pressure

Summary

With its 17,000P computing power scale, Zhongbei Communication occupies a

medium competitive position
in China’s intelligent computing service industry. Its diversified customer structure provides a stable revenue foundation and risk diversification capability for business development. However, compared with leading enterprises in the industry, there are still significant gaps in capital strength, technological R&D, and brand influence. In future development, the company needs to fully leverage its customer structure advantages and make up for its deficiencies in scale and technology through differentiated competition and strategic cooperation to gain more development space in the rapidly growing intelligent computing service market.


References

[0] Gilin API Data - Stock price data and market performance statistics of Zhongbei Communication and related companies
[1] Wall Street Journal - “Witnessing China’s Another Ace in the AI Race in Inner Mongolia: The World’s Largest Power Grid” (December 2025)
[2] Bloomberg - “Alibaba’s AI Arm Surges 34% Though Big Spending Slashes…” (November 2025)
[3] Wall Street Journal - “Alibaba’s Quarterly Revenue Exceeds Expectations, Demonstrating AI Strength” (November 2025)

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.