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In-Depth Analysis of Investment Opportunities in Industrial Internet and AI Integration Policies

#industrial_internet #artificial_intelligence #policy_analysis #investment_strategy #smart_manufacturing #industrial_software #ai_chip
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January 7, 2026

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In-Depth Analysis of Investment Opportunities in Industrial Internet and AI Integration Policies

About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.

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Based on the above data and research, we now present the complete investment analysis report.

In-Depth Analysis of Investment Opportunities in Industrial Internet and AI Integration Policies
I. Core Policy Points and Market Impact
1.1 Policy Interpretation

The “Action Plan for Empowering Integration of Industrial Internet and Artificial Intelligence”, released by the Ministry of Industry and Information Technology (MIIT) in January 2026, clarifies the following core goals [1][2]:

Target Area Specific Requirements Time Node
Enterprise Transformation and Upgrading No less than 50,000 enterprises implement new industrial network transformation and upgrading 2028
High-Quality Datasets Build high-quality datasets in 20 key industries 2028
Industry Coverage Key industries including raw materials, equipment manufacturing, consumer goods, electronic information, etc. Continuous Promotion
Industrial AI Applications Significantly enhance the empowerment level of industrial internet and artificial intelligence integration Continuous Promotion

Four Core Initiatives
: Basic Base Upgrade, Data Model Interoperability, Application Model Innovation, Industrial Ecosystem Integration [2].

1.2 Policy-Driven Industrial Transformation

The shift from “digital empowerment” to “digital-intelligent empowerment” marks a new stage in industrial digital transformation [1]:

  • Digital Empowerment
    : Emphasizes data collection, storage, transmission, and management to address the issue of “efficiency improvement”
  • Digital-Intelligent Empowerment
    : Deeply integrates intelligent technologies (autonomous learning, decision optimization, predictive analysis) to realize data value mining and intelligent applications

This transformation will drive the restructuring of traditional industrial models and value creation.


II. Performance of A-Share Industrial Software and Smart Manufacturing Sector
2.1 Recent Performance of Core Targets (December 2025 - January 2026)

Industrial Internet and Smart Manufacturing Sector Analysis

Based on the latest transaction data [0], the interval performance of core targets is as follows:

Stock Ticker Company Name Sub-Sector Interval Change Volatility Comprehensive Score
688008.SS Cambricon AI Chip
+12.66%
2.54% 32.85
603859.SS Nengke Technology Industrial AI
+9.15%
2.37% 24.50
300024.SZ Siasun Robot & Automation Industrial Robot
+5.38%
2.06% 16.15
300222.SZ SI-TECH Smart Equipment
+0.97%
1.74% 8.72
000410.SZ Shenyang Machine Tool Industrial Mother Machine
+0.40%
1.49% 6.83
688777.SS Suzhou Supcon Technology Industrial Automation
-1.86%
1.47% 3.14
002073.SZ MESNAC Smart Manufacturing
-3.51%
1.47% 0.48
300166.SZ Orient National Info Tech Industrial Internet
-5.32%
1.74% -2.84

Top Performers
: Cambricon (+12.66%), Nengke Technology (+9.15%) [0]


III. In-Depth Analysis of Priority Beneficiary Sub-Sectors
3.1 Industrial AI Applications (Top Priority Track)

Direct Policy Benefit Level: ★★★★★

Nengke Technology (603859.SS) is a benchmark enterprise in the industrial AI field. In the first three quarters of 2025, its AI business revenue reached RMB 335 million, accounting for 30.79% of total revenue, becoming the company’s main growth driver [3]. The company’s core product, the “Ling Series” AI Agent, focuses on PLM/MES, and has developed vertical domain models such as drawing recognition, process recommendation, quality inspection, and business prediction, which can be deployed in more than 20 industrial scenarios with one click.

Financial and Valuation Analysis
[0][4]:

  • Current Stock Price: RMB 44.00
  • DCF Valuation Range:
    RMB 62.78-180.00
    (implying 42.7%-309.1% upside potential)
  • Probability-Weighted Value: RMB 110.94 (+152.1% upside potential)
  • Financial Health: Low debt risk, positive free cash flow
  • KDJ indicator shows
    buy signal
    , RSI is in the overbought zone

Investment Highlights
: Nengke Technology’s net profit attributable to parent company in Q3 2025 surged 122.94% year-on-year, and non-recurring net profit attributable to parent company surged 81.37% year-on-year [3], with a significant pulling effect from its AI business.

3.2 AI Chips and Computing Power Infrastructure (High-Certainty Track)

Direct Policy Benefit Level: ★★★★★

As a leading domestic AI chip enterprise, Cambricon (688008.SS) benefits from the explosion in industrial AI computing power demand. Its interval increase reached 12.66%, ranking first in the sector [0]. The company’s products cover full scenarios of cloud, edge, and terminal, serving as the core computing power base for the industrial internet.

Market Outlook
: The compound annual growth rate (CAGR) of China’s industrial AI market is expected to reach 28.3% from 2025 to 2030 [3], with the growth rates of the semiconductor and 3C electronics sectors reaching 31.5% and 24.9% respectively.

3.3 Domestic Replacement of Industrial Software (Strategic Track)

Direct Policy Benefit Level: ★★★★☆

Software Category Localization Rate Replacement Space Benefit Logic
R&D Design (CAD/CAE/EDA) ~10% 90% The high-end market has long been monopolized by European and American enterprises, making domestic replacement the most urgent
Production Control (MES/SCADA) ~30% 70% Competitiveness in mid-to-low end, large replacement space in high end
Operation Management (ERP/PLM) ~40% 60% Strong competitiveness in the mid-end market

Core Targets
:

  • Zhongwang Software: Leading domestic CAD enterprise
  • Baosight Software: Leading provider of integrated PLM/MES solutions for the steel industry
  • Yonyou Network, Kingdee Software: Main forces of domestic replacement in the ERP sector
3.4 Industrial Robots and Smart Equipment

Direct Policy Benefit Level: ★★★★☆

As a leading domestic industrial robot enterprise, Siasun Robot & Automation (300024.SZ) recorded an interval increase of 5.38% [0]. The company’s products cover a full range of industrial robots, collaborative robots, mobile robots, etc., benefiting from the released demand for smart factory construction.

Industry Data
: By 2025, a total of over 7,000 advanced-level and over 500 outstanding-level smart factories have been built [1], with the penetration rate of smart manufacturing continuing to increase.


IV. Investment Strategy and Target Recommendations
4.1 Investment Themes
Investment Theme Rationale Beneficiary Targets
Theme 1: Leading Industrial AI Application Enterprises
AI Agents are rapidly deployed in industrial scenarios, and performance enters the release period Nengke Technology, Cambricon
Theme 2: Domestic Replacement of Industrial Software
Localization rate of R&D design software is only 10%, driven by both policies and technology blockades Zhongwang Software, Baosight Software
Theme 3: Smart Manufacturing Equipment
Accelerated construction of smart factories releases demand Siasun Robot & Automation, SI-TECH
Theme 4: Industrial Automation Base
Directly benefits from new industrial network transformation Suzhou Supcon Technology, Orient National Info Tech
4.2 Financial and Valuation Comparison of Key Targets
Target Market Capitalization (RMB 100 million) PE(TTM) PB ROE Rating
Nengke Technology 107.7 44.89 3.52 -
Buy
(DCF shows 152% upside potential)
Cambricon - - - - Watch (Leading AI chip enterprise)
Siasun Robot & Automation 285.4 -112.60 6.64 -5.80% Hold (Performance under pressure)
Suzhou Supcon Technology - - - - Hold (Leading industrial automation enterprise)
4.3 Risk Warnings
  1. Policy progress falls short of expectations
    : The progress of enterprise transformation and upgrading may be affected by macroeconomic factors
  2. Technology iteration risk
    : The rapid evolution of AI technology may lead to the replacement of some technical routes
  3. Intensified market competition
    : Competition from domestic and foreign manufacturers may compress profit margins
  4. Valuation correction risk
    : Some targets currently have high valuations, so attention should be paid to pullback risks

V. Conclusions and Outlook
5.1 Core Conclusions
  1. Unprecedented policy intensity
    : 50,000 enterprises’ transformation and upgrading + high-quality datasets in 20 key industries, releasing a trillion-level market space
  2. Priority Beneficiary Tracks
    :
    • Industrial AI Applications
      (Nengke Technology): Performance has entered the release period, with DCF valuation showing 152% upside potential
    • AI Chips
      (Cambricon): Core target of computing power base, with the strongest short-term performance
    • Industrial Software
      (R&D design category): Localization rate is only 10%, with the largest replacement space
  3. Investment Window
    : 2026 is the first year of the 15th Five-Year Plan, with intensive policy catalysis; it is recommended to accumulate core targets on dips
5.2 Long-Term Outlook

It is estimated that the compound annual growth rate (CAGR) of China’s industrial AI market will reach 28.3% from 2025 to 2030 [3], with the growth rates of the automotive manufacturing, semiconductor, and 3C electronics sectors reaching 31.3%, 31.5%, and 24.9% respectively. Driven by the “digital-intelligent empowerment” policy, the integration of industrial internet and AI will reshape the competitive landscape of the manufacturing industry, bringing continuous structural investment opportunities for the A-share industrial software and smart manufacturing sectors.


References

[1] MIIT Deploys 10 Key Tasks for 2026
[2] MIIT: Promote No Less Than 50,000 Enterprises to Implement New Industrial Network Transformation and Upgrading
[3] Industrial Software Leader Research Report
[4] Gilin AI Financial Data Analysis System

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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.