The landscape of Application Performance Management and Observability (APMO) is undergoing a significant paradigm shift, driven by the rapid integration of artificial intelligence into enterprise workflows. At the forefront of this evolution is Bonree Data Technology Co., Ltd. (SSE: 688229), which has secured the No. 1 position in China's APMO market for the first half of 2026. According to the IDC China Semiannual IT Artificial Intelligence Operation Software Tracker, H1 2026, the company captured a 22.1% market share. This leadership position serves as the foundation for Bonree's strategy: advancing AI-native observability through its newly launched Bonree ONE 4.0 platform and accelerating its expansion across international markets.

Market Leadership and the Shift to AI-Native Observability

The APMO market in China has become highly competitive as enterprises migrate to complex, hybrid-cloud environments and deploy generative AI applications. Bonree's capture of a 22.1% market share in the first half of 2026 highlights the growing demand for unified platforms that can handle both traditional infrastructure monitoring and AI-specific performance metrics.

Traditional monitoring tools often struggle with the non-deterministic nature of AI models and the distributed architectures of modern applications. By focusing on AI-native observability, Bonree aims to address these challenges directly, providing enterprises with the visibility required to maintain application reliability and operational efficiency.

Inside Bonree ONE 4.0: Technical Architecture and Capabilities

Launched globally in 2026, Bonree ONE 4.0 represents a significant update to the company's flagship platform. The platform is designed to unify intelligent observability, AI agent development, and natural-language interaction into a unified operational environment.

AI Observability and Tracing

As organizations deploy large language models and AI-driven applications, monitoring these systems requires specialized tools. Bonree ONE 4.0 provides end-to-end tracing and quality analysis specifically tailored for AI applications. Key capabilities include:

  • Monitoring token consumption and model performance to manage operational costs and latency.
  • Investigating performance bottlenecks across complex application stacks.
  • Assessing conversational quality and tracing multi-turn interactions.

The platform integrates with widely used AI technologies and frameworks, including the OpenAI SDK, LangChain, LangGraph, Dify, and the Model Context Protocol (MCP). This broad compatibility allows development and operations teams to maintain continuous visibility over their AI pipelines.

Sage AI and Autonomous Agents

A core component of the updated platform is Sage AI, an AI agent workbench designed to help organizations build, manage, and reuse intelligent agents. These agents can be deployed across multiple operational domains, including:

  • IT operations and DevOps
  • BizOps and FinOps

By utilizing shared resources for models, tools, skills, and knowledge, Sage AI supports both workflow-based execution and fully autonomous agent operations. This allows enterprises to automate routine tasks and respond to system anomalies with minimal manual intervention.

Natural-Language Operations

To simplify access to complex operational data, Bonree ONE 4.0 incorporates natural-language interaction. Users can query the system using conversational language to retrieve insights and perform system checks. The platform features 25 built-in scenarios, which cover:

  • Host inspection and change comparison
  • Capacity analysis and system assessment

This conversational interface lowers the technical barrier for accessing critical system data, enabling faster decision-making across teams.

Global Expansion and Ecosystem Dynamics

With its market position established in China, Bonree is actively expanding its footprint into international markets, focusing on Southeast Asia, the Middle East, Hong Kong SAR, and Macao SAR. The company's international business has achieved notable progress, with signed contracts and overseas customer projects exceeding US$1 million.

To support this expansion, Bonree is pursuing a strategy of localized execution and ecosystem collaboration:

  • Strategic Partnerships: Bonree has established application observability initiatives with Huawei. Additionally, the company signed an agreement with NTT DATA during Huawei Global Financial Partner Week, strengthening its delivery capabilities in key sectors.
  • Regional Engagement: The company hosted the global launch of Bonree ONE 4.0 in Kuala Lumpur, Malaysia, and participated in the Digital Government Exchange (DGX) 2026 in Malaysia to engage with regional public and private sector leaders.

Compliance, Credentials, and Enterprise Trust

Enterprise adoption of observability tools depends heavily on platform reliability and compliance. Bonree brings 18 years of experience in production environments to its global operations. The company's monitoring infrastructure supports over 100 core application scenarios across industries, backed by the deployment of more than 200,000 monitoring probes.

The company's technology and operational standards have received external validation, including:

  • Inclusion in the Gartner Hype Cycle for Infrastructure Strategies in China, 2026.
  • Inclusion in the Gartner Market Guide for Intelligent IT Monitoring and Log Analysis Tools, China.
  • Achievement of CMMI Level 5 certification, representing the highest level of software process maturity.
  • Completion of a SOC 2 Type II report, verifying the platform's security and data protection controls.

As organizations navigate the complexities of digital transformation and AI integration, the combination of established enterprise-grade reliability and AI-native capabilities will be critical to maintaining operational resilience.