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China AIOPs Platform Market

ID: MRFR/ICT/57142-HCR
200 Pages
Aarti Dhapte
October 2025

China AIOps Platform Market Research Report By Component (Platforms, Services), By Services (Implementation Service, License and Maintenance Service, Training, Education Service, Consulting Service, Managed Service), By Application (Real-time Analytics, Infrastructure Management, Network and Security Management, Application Performance, Cloud monitoring, Anomaly detection, Log and Event), By Organization Size (SMEs, Large Enterprises) and By Vertical (BFSI, Telecom and IT, Manufacturing, Media and Entertainment)-Forecast to 2035

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China AIOPs Platform Market Summary

As per MRFR analysis, the AIOps platform market size was estimated at 1288.7 USD Million in 2024. The aiops platform market is projected to grow from 1522.99 USD Million in 2025 to 8094.32 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 18.18% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The China AIOps platform market is experiencing robust growth driven by technological advancements and increasing operational demands.

  • The market is witnessing increased adoption of AI technologies across various sectors.
  • Real-time data analytics is becoming a focal point for organizations seeking to enhance operational efficiency.
  • The government is actively supporting AI initiatives, which is likely to bolster market growth.
  • Rising demand for operational efficiency and integration of cloud computing solutions are key drivers of the market.

Market Size & Forecast

2024 Market Size 1288.7 (USD Million)
2035 Market Size 8094.32 (USD Million)

Major Players

IBM (US), Splunk (US), Dynatrace (US), Moogsoft (US), New Relic (US), Datadog (US), Micro Focus (GB), ServiceNow (US)

China AIOPs Platform Market Trends

The aiops platform market is currently experiencing a notable transformation, driven by the increasing complexity of IT environments and the growing demand for automation in operations. Organizations are increasingly adopting artificial intelligence to enhance their operational efficiency, reduce downtime, and improve service delivery. This shift is largely influenced by the need for real-time data analysis and proactive incident management, which are essential for maintaining competitive advantage in a rapidly evolving digital landscape. As businesses continue to embrace digital transformation, the integration of aiops solutions is becoming a strategic priority, enabling them to leverage data-driven insights for better decision-making. Moreover, the landscape of the aiops platform market is characterized by a surge in investments and innovations. Companies are focusing on developing advanced algorithms and machine learning capabilities to optimize performance and streamline processes. This trend is further supported by government initiatives aimed at fostering technological advancements and encouraging the adoption of AI across various sectors. As a result, the aiops platform market is poised for substantial growth, with organizations recognizing the potential of AI to revolutionize their operational frameworks and enhance overall productivity.

Increased Adoption of AI Technologies

Organizations are increasingly integrating AI technologies into their operational frameworks. This trend is driven by the need for enhanced efficiency and the ability to manage complex IT environments effectively. Companies are leveraging AI to automate routine tasks, thereby allowing human resources to focus on more strategic initiatives.

Focus on Real-Time Data Analytics

The demand for real-time data analytics is rising within the aiops platform market. Businesses are recognizing the importance of immediate insights for decision-making and incident management. This shift towards real-time capabilities is essential for maintaining operational resilience and ensuring service continuity.

Government Support for AI Initiatives

Government initiatives are playing a crucial role in promoting the adoption of AI technologies. Policies aimed at fostering innovation and technological development are encouraging organizations to invest in aiops solutions. This support is likely to accelerate the growth of the aiops platform market, as businesses seek to align with national strategies for digital transformation.

China AIOPs Platform Market Drivers

Growing Cybersecurity Concerns

Cybersecurity concerns are becoming a critical driver for the aiops platform market in China. With the increasing frequency of cyber threats, organizations are compelled to adopt advanced technologies that can proactively identify and mitigate risks. The aiops platforms provide real-time monitoring capabilities, enabling businesses to detect anomalies and respond swiftly to potential breaches. Recent statistics suggest that cyberattacks in China have risen by over 30% in the past year, prompting a heightened focus on security measures. As a result, companies are investing in aiops solutions that integrate security analytics, thereby enhancing their overall cybersecurity posture. This trend highlights the essential role of aiops platforms in safeguarding organizational assets within the aiops platform market.

Emphasis on Data-Driven Decision Making

The emphasis on data-driven decision making is reshaping the aiops platform market in China. Organizations are increasingly leveraging data analytics to inform their strategic choices, leading to a demand for sophisticated aiops solutions that can process vast amounts of information. The ability to analyze data in real-time allows companies to optimize their operations and improve customer experiences. Recent surveys indicate that approximately 65% of Chinese enterprises prioritize data analytics in their operational strategies. This trend is driving investments in aiops platforms that offer advanced analytical capabilities, enabling businesses to derive actionable insights from their data. Consequently, the focus on data-driven decision making is a significant catalyst for growth in the aiops platform market.

Integration of Cloud Computing Solutions

The integration of cloud computing solutions is significantly influencing the aiops platform market in China. As businesses increasingly migrate to cloud environments, the need for robust monitoring and management tools becomes paramount. A report indicates that over 70% of enterprises in China are adopting cloud services, which creates a fertile ground for aiops platforms to thrive. These platforms facilitate seamless integration with cloud infrastructures, enabling organizations to gain real-time insights into their operations. Furthermore, the scalability offered by cloud solutions allows companies to adapt their aiops strategies as their needs evolve. This trend underscores the importance of cloud compatibility in the aiops platform market, as it enhances operational agility and responsiveness.

Rising Demand for Operational Efficiency

The aiops platform market in China is experiencing a notable surge in demand for operational efficiency across various sectors. Organizations are increasingly recognizing the need to streamline their IT operations, reduce downtime, and enhance service delivery. This trend is driven by the growing complexity of IT environments, which necessitates advanced solutions for monitoring and managing systems. According to recent estimates, the market is projected to grow at a CAGR of approximately 25% over the next five years. Companies are investing in aiops platforms to automate routine tasks, thereby allowing IT teams to focus on strategic initiatives. This shift not only improves productivity but also contributes to cost savings, making it a pivotal driver in the aiops platform market.

Shift Towards Automation in IT Operations

The shift towards automation in IT operations is a prominent driver of the aiops platform market in China. As organizations strive to enhance efficiency and reduce operational costs, automation technologies are being increasingly adopted. The aiops platforms facilitate the automation of routine tasks, such as incident management and performance monitoring, which allows IT teams to allocate their resources more effectively. Recent data suggests that automation can lead to a reduction in operational costs by up to 30%, making it an attractive proposition for businesses. This trend is indicative of a broader movement towards digital transformation, where companies seek to leverage technology to improve their operational frameworks. Thus, the shift towards automation is a key factor influencing the aiops platform market.

Market Segment Insights

By Component: Platforms (Largest) vs. Services (Fastest-Growing)

In the China aiops platform market, the component segment reveals a distinct distribution of market share between Platforms and Services. Platforms dominate the component landscape, holding a significant share as organizations leverage robust solutions to manage increasingly complex IT environments. Services, while currently smaller in market share, are gaining traction as businesses seek specialized support and consultancy to optimize their platform utilization and enhance operational efficiency. The growth trends within this segment are driven by the rapid digital transformation across industries in China. The demand for AI-driven insights and enhanced automation capabilities fosters a vibrant landscape for Services. Furthermore, the expansion of cloud technologies contributes to the increasing adoption of Platforms, as companies are compelled to modernize their infrastructures to stay competitive in a technology-centric market.

Platforms (Dominant) vs. Services (Emerging)

Platforms in the China aiops platform market serve as the foundational solutions that enable enterprises to streamline their IT operations. They provide powerful tools for monitoring, analytics, and automation, positioning them as the dominant force. On the other hand, Services represent an emerging segment that is crucial for the effective deployment and maintenance of these Platforms. Companies offering Services are increasingly recognized for their expertise in tailoring solutions to meet specific organizational needs, thus driving quicker adoption cycles among businesses. As enterprises continue to confront the complexities of IT management, the symbiotic relationship between Platforms and Services underscores the growing importance of comprehensive solutions in the market.

By Services: Implementation Service (Largest) vs. Managed Service (Fastest-Growing)

The services segment in the China aiops platform market is diverse, comprising various service types that cater to distinct needs. Implementation Service leads the segment, capturing the largest market share, followed by License and Maintenance and Consulting Services. However, Managed Services is emerging rapidly, indicative of a growing preference for outsourced solutions that provide flexibility and efficiency in operations. Growth in this segment is driven by the increasing adoption of aiops solutions across sectors seeking enhanced IT operations and analytics capabilities. Businesses prioritize services that facilitate smooth implementation and continuous support, with trends leaning towards managed offerings as organizations recognize the benefits of specialized expertise. Training and Education Services are also gaining traction, reflecting a growing need for skilled personnel to leverage aiops technologies effectively.

Implementation Service (Dominant) vs. Managed Service (Emerging)

Implementation Service is the dominant force within the services segment of the China aiops platform market, characterized by its comprehensive support structure that aids organizations in the successful deployment of aiops solutions. It focuses on tailored implementation strategies that address specific business needs, fostering greater operational efficiency. On the other hand, Managed Services represents an emerging trend, offering businesses the advantage of outsourcing their aiops support, thus reducing operational burdens. As companies seek agile and cost-effective solutions, Managed Services is leveraging its potential to grow rapidly, appealing to organizations that desire flexibility coupled with expert management of their IT environments. This duality creates a dynamic landscape that balances established service excellence with innovative outsourcing solutions.

By Application: Application Performance Management (Largest) vs. Infrastructure Management (Fastest-Growing)

In the China aiops platform market, Application Performance Management holds the largest market share among various application segments. This segment is pivotal for organizations focusing on enhancing user experience and ensuring optimal application performance. Following closely, Infrastructure Management has been identified as the fastest-growing segment, driven by the increasing need for efficient resource management and reliable infrastructure solutions. The growth trends in the application segment are significantly influenced by the rising complexity of IT environments and the growing emphasis on digital transformation. Real-time analytics is also becoming increasingly relevant as businesses seek immediate insights and responses. As organizations continue to embrace advanced technologies, the AIOps strategies supporting Network and Security Management are anticipated to witness amplified adoption, as companies prioritize data security and system resilience in their operations.

Application Performance Management (Dominant) vs. Infrastructure Management (Emerging)

Application Performance Management is characterized by its ability to provide deep insights into application behavior, which is critical for enhancing operational efficiency and user satisfaction. This segment leverages data analytics to monitor application performance in real-time, allowing businesses to quickly identify and resolve issues. On the other hand, Infrastructure Management is emerging rapidly due to increased investments in technology infrastructure to support business operations. With cloud computing and virtualization trends, this segment is seeing a shift toward more automated and intelligent management solutions. Both segments play essential roles in the overall health of IT strategies, as they ensure that applications are efficient while infrastructure remains robust and responsive to changes.

By Deployment Mode: Cloud (Largest) vs. On-Premise (Fastest-Growing)

In the China aiops platform market, the deployment mode segment is characterized by a notable share distribution between on-premise and cloud solutions. The cloud deployment mode emerges as the largest segment, increasingly preferred by businesses for its scalability and flexibility. Conversely, the on-premise deployment mode, while currently smaller, demonstrates significant potential for growth due to organizations prioritizing data security and control over their infrastructure. Growth trends within this segment are strongly influenced by the rapid digital transformation across industries in China. The cloud segment is propelled by the increasing adoption of AI technologies and the need for real-time analytics, making cloud solutions more appealing. On the other hand, the on-premise segment is gaining momentum as businesses invest in hybrid models to enhance their operational capabilities while maintaining secure control over their data.

Deployment Mode: Cloud (Dominant) vs. On-Premise (Emerging)

Cloud deployment in the China aiops platform market is recognized as the dominant force due to its ability to offer flexible and scalable solutions optimized for AI and data analytics. Businesses are venturing towards cloud options to leverage advanced technological infrastructure without the burden of extensive in-house maintenance. Conversely, the on-premise deployment mode is emerging as companies increasingly seek to integrate traditional systems with innovative aiops solutions. Such deployments ensure that organizations retain authority over their data, offering potential growth driven by enterprises that prioritize security and are navigating compliance regulations. This duality in preference illustrates the dynamic landscape of deployment modes within the market.

By Organization Size: SMEs (Largest) vs. Large Enterprises (Fastest-Growing)

In the China aiops platform market, SMEs hold the largest share, demonstrating the significant demand for tailored solutions that enhance operational efficiency. With their agility and ability to adapt quickly, SMEs are increasingly embracing aiops platforms to streamline their operations and improve decision-making processes. In contrast, large enterprises are emerging as the fastest-growing segment, driven by their need for complex, scalable solutions. These organizations are investing heavily in advanced technologies to integrate vast data sources and automate IT operations, which places them on a rapid growth trajectory in the aiops platforms landscape.

SMEs (Dominant) vs. Large Enterprises (Emerging)

SMEs are recognized as the dominant players in the China aiops platform market, benefiting from their inherent flexibility and the growing recognition of the need for digital transformation. Their strategies often focus on cost-effective, user-friendly solutions that require minimal upfront investment. On the other hand, large enterprises are categorized as an emerging segment, increasingly prioritizing robust aiops solutions that can effortlessly integrate with legacy systems. Their approach emphasizes advanced analytics and machine learning capabilities to enhance operational performance, making them pivotal in driving innovation and efficiency within their organizations.

By Vertical: BFSI (Largest) vs. Healthcare and Life Sciences (Fastest-Growing)

The market share distribution in the China aiops platform market reveals that the BFSI sector holds the largest segment with a significant portion of the overall market. Following closely are the Healthcare and Life Sciences segments, which, while not as large in absolute terms, are rapidly gaining traction and importance due to shifts in regulatory frameworks and increased demand for operational efficiencies. Growth trends indicate that the Healthcare and Life Sciences segment is the fastest-growing segment, driven by advances in technology and a growing focus on patient-centered care. The BFSI sector continues to thrive as organizations seek to enhance their fraud detection and risk management capabilities, fueled by the increased volume of transactions and the need for real-time analytics to maintain competitive advantage.

BFSI (Dominant) vs. Healthcare and Life Sciences (Emerging)

The BFSI segment is characterized by its dominant position within the China aiops platform market, as financial institutions increasingly adopt AI-driven solutions to improve operational efficiency and enhance decision-making processes. This sector is crucial for implementing predictive analytics and real-time monitoring systems to address the challenges of fraud detection and regulatory compliance. In contrast, the Healthcare and Life Sciences segment is emerging as a significant player thanks to its commitment to enhancing patient outcomes through data analytics. The rising adoption of telemedicine and electronic health records is propelling this segment forward, which seeks innovative AI solutions to streamline operations and improve healthcare delivery, ultimately transforming how healthcare services are provided in the market.

Get more detailed insights about China AIOPs Platform Market

Key Players and Competitive Insights

The aiops platform market in China is characterized by a rapidly evolving competitive landscape, driven by the increasing demand for automation and data-driven decision-making. Key players such as IBM (US), Splunk (US), and Dynatrace (US) are strategically positioned to leverage their technological expertise and extensive resources. IBM (US) focuses on integrating AI capabilities into its offerings, enhancing operational efficiency for enterprises. Splunk (US) emphasizes real-time data analytics, which is crucial for organizations seeking to optimize their IT operations. Dynatrace (US) adopts a cloud-native approach, enabling seamless integration and scalability, which is particularly appealing in the current digital transformation era. Collectively, these strategies foster a competitive environment that prioritizes innovation and responsiveness to market needs.

In terms of business tactics, companies are increasingly localizing their operations to better serve the Chinese market. This includes optimizing supply chains and establishing regional partnerships to enhance service delivery. The market structure appears moderately fragmented, with several players vying for market share. However, the influence of major companies remains substantial, as they set benchmarks for technology adoption and customer service standards.

In October 2025, IBM (US) announced a strategic partnership with a leading Chinese telecommunications provider to enhance its aiops solutions tailored for local enterprises. This collaboration is expected to facilitate the integration of advanced AI technologies into telecommunications infrastructure, thereby improving operational efficiencies and customer experiences. Such partnerships are indicative of IBM's commitment to localizing its offerings and adapting to the unique demands of the Chinese market.

In September 2025, Splunk (US) launched a new version of its platform that incorporates machine learning capabilities specifically designed for the Chinese market. This update aims to provide organizations with enhanced predictive analytics tools, allowing them to proactively address potential IT issues. The introduction of localized features demonstrates Splunk's strategic focus on meeting the specific needs of Chinese enterprises, thereby strengthening its competitive position.

In August 2025, Dynatrace (US) expanded its presence in China by opening a new regional office in Shanghai, aimed at providing localized support and services. This move is significant as it underscores Dynatrace's commitment to the Chinese market and its intention to enhance customer engagement through direct support. The establishment of a regional office is likely to improve response times and foster closer relationships with local clients, which is essential in a competitive landscape.

As of November 2025, the competitive trends in the aiops platform market are increasingly defined by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming more prevalent, as companies recognize the value of collaboration in enhancing their service offerings. Looking ahead, competitive differentiation is expected to evolve, shifting from price-based competition to a focus on innovation, technological advancement, and supply chain reliability. This transition may lead to a more sustainable competitive environment, where companies that prioritize these aspects are likely to thrive.

Key Companies in the China AIOPs Platform Market market include

Industry Developments

In the China AIOps Platform Market, recent developments include significant advancements and investments from major companies, showing vigorous competition in technology innovation. In June 2023, Baidu made headlines by launching an upgraded version of its AIOps solutions, enhancing its capabilities in real-time data analysis and AI-driven decision-making.

Similarly, in August 2023, Tencent expanded its AIOps offerings through strategic partnerships aimed at integrating AIOps with cloud services. Notably, in September 2023, Alibaba announced a collaboration with China Telecom to develop next-generation AIOps platforms leveraging 5G technology, signaling a focus on improved connectivity and service reliability.

Mergers and acquisitions have also shaped the market landscape; in July 2023, ZTE acquired a minority stake in Neusoft, bolstering its service capacity in AIOps solutions.

Market valuation growth has been observed, with companies like Huawei and Ping An Technology reporting increased demand and revenue from their AIOps services, reflecting a digital transformation trend across Chinese enterprises. The demand for AI-driven operational solutions continues to rise, and market players are aligning their strategies to address this emerging need.

Future Outlook

China AIOPs Platform Market Future Outlook

The aiops platform market in China is projected to grow at an 18.18% CAGR from 2024 to 2035, driven by increased automation, data analytics, and cloud adoption.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for IT infrastructure.
  • Integration of AIOps with IoT platforms for enhanced operational efficiency.
  • Creation of tailored AIOps solutions for specific industry verticals like finance and healthcare.

By 2035, the aiops platform market is expected to achieve substantial growth and innovation.

Market Segmentation

China AIOPs Platform Market Services Outlook

  • Implementation Service
  • License and Maintenance Service
  • Training and Education Service
  • Consulting Service
  • Managed Service

China AIOPs Platform Market Vertical Outlook

  • BFSI
  • Healthcare and Life Sciences
  • Retail and Consumer Goods
  • Telecom and IT
  • Manufacturing
  • Media and Entertainment
  • Others

China AIOPs Platform Market Component Outlook

  • Platforms
  • Services

China AIOPs Platform Market Application Outlook

  • Real-Time Analytics
  • Infrastructure Management
  • Network and Security Management
  • Application Performance Management
  • Others

China AIOPs Platform Market Deployment Mode Outlook

  • On-Premise
  • Cloud

China AIOPs Platform Market Organization Size Outlook

  • SMEs
  • Large Enterprises

Report Scope

MARKET SIZE 2024 1288.7(USD Million)
MARKET SIZE 2025 1522.99(USD Million)
MARKET SIZE 2035 8094.32(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 18.18% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled IBM (US), Splunk (US), Dynatrace (US), Moogsoft (US), New Relic (US), Datadog (US), Micro Focus (GB), ServiceNow (US)
Segments Covered Component, Services, Application, Deployment Mode, Organization Size, Vertical
Key Market Opportunities Integration of advanced machine learning capabilities enhances operational efficiency in the aiops platform market.
Key Market Dynamics Rapid technological advancements drive competitive dynamics in the AIOps platform market, influencing adoption and innovation.
Countries Covered China

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FAQs

What is the current market size of the China AIOps Platform market in 2024?

The China AIOps Platform market is expected to be valued at 1.1 billion USD in 2024.

What will be the projected market size of the China AIOps Platform market by 2035?

The market is anticipated to reach a value of 7.2 billion USD by 2035.

What is the expected compound annual growth rate (CAGR) for the China AIOps Platform market from 2025 to 2035?

The expected CAGR for the China AIOps Platform market from 2025 to 2035 is 18.586%.

Who are the major players in the China AIOps Platform market?

Key players in the market include BJIT, Baidu, Ping An Technology, Tencent, and Alibaba among others.

What is the market size for AIOps platforms in 2024?

In 2024, the market size for AIOps platforms is valued at 0.5 billion USD.

What is the market size for AIOps services in 2024?

The AIOps services market is expected to be valued at 0.6 billion USD in 2024.

What are the projections for the AIOps platforms market by 2035?

By 2035, the AIOps platforms market is projected to reach 3.5 billion USD.

What will be the projected market size for AIOps services by 2035?

The market for AIOps services is expected to grow to 3.7 billion USD by 2035.

What are the key applications of AIOps platforms in the China market?

AIOps platforms are primarily used for IT operations management, automating incident responses, and enhancing service delivery.

How does the current market outlook for AIOps in China reflect emerging trends?

Emerging trends indicate a growing demand for automation and AI-driven solutions in managing IT infrastructure.

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