Gunjo · Business Intelligence for the AI Era
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KONE IoT-Enabled Elevator Maintenance Subscription Model

1) New equipment sales serve as an entry point to build the installed base; 2) Core profits are derived from annual main

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Key Fields

FIELD STAMPS
IndustryIndustrial Equipment / Robotics
RegionGlobal
ScaleGiant
ChannelHybrid

📌 Background

The traditional elevator industry relies on one-time new equipment sales, making it highly susceptible to real estate cycles. Finland's KONE has transformed elevators into service terminals that generate recurring revenue through 24/7 IoT monitoring. According to the company's annual report, 2025 sales reached 11.2 billion euros. By the first half of 2026, the connectivity rate of its maintenance base reached 44%, with maintenance and modernization services contributing over 90% of profits, serving as a benchmark for servitization in manufacturing.

👤 Target Customers

Owners of commercial and residential buildings, property management companies, and urban infrastructure operators who pay for elevator safety and regulatory compliance.

💰 Revenue Streams

1) New equipment sales serve as an entry point to build the installed base; 2) Core profits are derived from annual maintenance subscription contracts; 3) High-margin value-added income from modernization of aging elevators and spare parts replacement.

🧮 Cost Structure

Investment in front-end IoT sensors and cloud platforms, labor costs for tens of thousands of global maintenance technicians, and operational costs for spare parts supply chains and local service networks. The service business is capital-light with customers often paying in advance, resulting in a negative working capital structure.

🛡️ Moat

An installed base of over one million units under maintenance creates a conversion funnel, with an annual retention rate for subscription contracts of approximately 90%. Continuous accumulation of equipment operational data and AI predictive models improves proactive fault identification by over 70%, creating high switching costs for customers.

🔑 Keys to Success

  • Expanding the installed base through new equipment sales to lock in long-term maintenance contracts
  • Using IoT data to drive predictive maintenance and reduce on-site service costs
  • Converting maintenance data into sales leads for modernization projects

⚠️ Risks

  • Prolonged real estate downturn compressing new equipment entry traffic
  • Stricter regulations regarding data security and building compliance

🏢 Cases

  • KONE 24/7 Connected Services utilizes the AWS cloud platform to enable predictive maintenance
  • In the first half of 2026, the service business grew by approximately 6.6% on a comparable basis, with the maintenance base connectivity rate reaching 44%

📊 SWOT Analysis

Strengths

  • Maintenance and modernization contribute over 90% of profits, providing strong counter-cyclical resilience
  • Predictive maintenance reduces customer-reported faults by approximately 40%

Weaknesses

  • New equipment sales remain hampered by real estate market downturns in regions like China
  • High labor costs associated with the global technician network

Opportunities

  • A large number of aging elevators globally are entering the modernization cycle
  • Increasing the connectivity rate beyond 44% creates further room for value-added subscriptions

Threats

  • Competitors such as Otis and Schindler are also deploying IoT-based maintenance
  • Independent third-party maintenance providers competing on price