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Analysis and Resolution Strategy for the Single Product Risk of IntSig Information

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January 5, 2026

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Analysis and Resolution Strategy for the Single Product Risk of IntSig Information

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Based on the latest public information, I conduct a systematic analysis of the

single product risk
faced by IntSig Information and its resolution strategies:


1. Current Product Structure and Risk Identification
1.1 Revenue Dependency Analysis

According to IntSig Information’s 2024 financial report and prospectus data, the company has obvious product concentration risks [1][2]:

Product/Business 2024 Revenue Proportion Gross Margin Business Positioning
CamScanner
68.47%
86.6% Core Revenue Engine
Business Card Reader 1.98% 86.21% Auxiliary Product
Qixinbao (APP Version) 4.46% 91.5% Data Service
Intelligent Recognition (B-end) 5.21% - Enterprise Service
Big Data Services (B-end) 10.41% ~65% Enterprise Service

Key Finding
: CamScanner contributes nearly
70%
of revenue, forming a typical “single-point dependency” pattern.

1.2 Risk Dimension Analysis

Market Risk Aspect
:<br>

  • Competition in the intelligent text recognition track is intensifying, with giants like Baidu, Tencent, and Alibaba continuing to invest in OCR technology<br>
  • The mobile internet dividend is fading, and customer acquisition costs on the C-end are rising<br>
  • User stickiness to single tool products is limited, and substitution costs are low

Operational Risk Aspect
:<br>

  • CamScanner’s growth rate has entered a stable phase from the early explosive period (maintaining a 20%+ growth rate from 2022 to 2024) [1]<br>
  • Once this product hits a growth bottleneck, it will have a significant impact on the company’s overall performance

2. Strategic Paths to Resolve Single Product Risk
2.1 B-end Business Expansion - Second Growth Curve

IntSig Information has laid out the

enterprise service market
as a breakthrough for diversification:

Business Progress
:<br>

  • Intelligent Recognition (B-end) covers multiple fields such as banking, finance, insurance, manufacturing, real estate, government, and parks [3]<br>
  • Commercial Big Data (B-end) revenue grew from 0.39 billion yuan in 2018 to
    2.14 billion yuan
    in 2024, with a CAGR of
    32.9%
    [2]<br>
  • In 2024, Big Data Services (B-end) revenue accounted for 10.41% of total revenue

Development Strategy
:<br>

  • Extend to B-end scenarios using brand awareness and technical capabilities accumulated from C-end products<br>
  • Provide scenario-based text recognition solutions to meet enterprise-level customized needs<br>
  • Qixinbao Enterprise Edition SaaS software quickly enters commercial big data B-end services
2.2 Product Matrix Improvement - Horizontal Expansion

Existing Product Synergy
:<br>

Product Function Positioning Synergy Value
CamScanner Document Digitization User Traffic Entry
Business Card Reader Contact Management Business Scenario Extension
Qixinbao Enterprise Information Query Data Service Value-added

Future Expansion Directions
:<br>

  • Expand intelligent text processing capabilities based on the TextIn platform<br>
  • Explore AI image processing application scenarios<br>
  • Develop vertical industry solutions (e.g., legal, medical, financial document processing)
2.3 Technical Foundation Support

The company’s core technical capabilities provide a basic guarantee for diversification [4]:<br>

  • AI Training Platform
    : Underlying algorithm capabilities support multi-scenario applications<br>
  • Enterprise SaaS Solutions
    : Modular services can be replicated and promoted<br>
  • Commercial Big Data Analysis
    : Data assets drive value-added services

3. Risk Resolution Timeline and Expectations
Short-term (2025-2026)
Goal Specific Measures Expected Effect
Increase B-end revenue proportion Accelerate penetration in finance/manufacturing Maintain B-end revenue growth rate at 25%+
Grow Business Card Reader Expand digital business card scenarios Maintain revenue growth rate at 15-20%
Ad协同广告业务 Monetize C-end traffic Stabilize revenue proportion at 8-10%
Mid-term (2027 and Beyond)
  • Revenue Structure Optimization Goal
    : CamScanner’s proportion drops to
    below 50%
    <br>
  • B-end Business Proportion
    : Increase to
    25-30%
    <br>
  • International Expansion
    : Overseas markets contribute new growth (CamScanner has made progress in overseas markets)

4. Risk Assessment from an Investment Perspective
Positive Factors
  1. High Gross Margin Moat
    : Core products maintain gross margins above 86%, and the subscription model has stable cash flow [5]<br>
  2. Technical Barrier
    : Self-developed enterprise knowledge graph and OCR technology have competitiveness<br>
  3. Steady Performance Growth
    : 21.2% revenue growth and 23.9% net profit growth in 2024 [1]
Risk Warnings
  1. Intensified Competition
    : Continuous investment by industry giants may compress the company’s market share<br>
  2. Lower-than-Expected ARPU Growth
    : Uncertainty exists in the growth space of C-end product ARPU values<br>
  3. B-end Expansion Progress
    : Enterprise service market development requires time and resource input

5. Conclusions and Recommendations

The

single product risk
faced by IntSig Information is objective, but the company has adopted multi-dimensional risk hedging strategies:

  1. Strategic Aspect
    : Transform from “single-point dependency” to “C-end + B-end” dual-drive<br>
  2. Product Aspect
    : Build a complete ecosystem of document digitization, contact management, and enterprise data services<br>
  3. Technical Aspect
    : Use AI capabilities as the core to support multi-scenario application implementation

Key Observation Points for Risk Resolution
:<br>

  • Can B-end revenue proportion exceed 20% within the next 2-3 years?<br>
  • Can CamScanner maintain a growth rate above 20% (avoid stagnation)?<br>
  • Can the growth of new products (Business Card Reader, Qixinbao) exceed expectations?<br>

If you need to further understand the

financial health analysis
or
valuation assessment
of IntSig Information, more detailed in-depth research services can be provided.


References

[1] Sina Finance - IntSig Information Named Annual Excellent AI Application Enterprise (https://cj.sina.cn/articles/view/5115326071/130e5ae7702002qyu8)

[2] Dongfang Wealth Securities Research Report - Buy IntSig Information (https://pdf.dfcfw.com/pdf/H3_AP202505081669444492_1.pdf)

[3] Guosen Securities Research Report - Investment Analysis of IntSig Information (https://pdf.dfcfw.com/pdf/H3_AP202501071641844500_1.pdf)

[4] Zhihu Column - Product Structure Analysis of IntSig Information (https://pic1.zhimg.com/v2-265f293cd301c38007b0601845b93246_1440w.jpg)

[5] Shanghai Stock Exchange - IntSig Information 2025 Semi-Annual Report (http://static.cninfo.com.cn/finalpage/2025-08-29/1224615307.PDF)

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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.