AIOps Platform Market

The AIOps platform market size is projected to expand at a CAGR of 22.7% during the forecast period to reach USD 32.4 billion by 2028, size was valued USD 11.7 billion in 2023. AIOps (Artificial Intelligence for IT Operations) employs AI and ML to streamline IT processes, analyze data, and proactively address issues. It collects data from various sources, performs advanced analytics, and automates event management and incident prioritization.

The AIOps platform market is poised for substantial growth in the coming years, driven by several key factors:

• Increasing IT Complexity
• Need for Enhanced Operational Efficiency
• Adoption of Cloud and Multi-Cloud Strategies
• Emphasis on Digital Transformation
• Integration of AI and Machine Learning

These growth factors highlight the critical role of AIOps platforms in enhancing IT operations, improving efficiency, and supporting digital transformation efforts across various industries.

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Increasing IT Complexity:

• The growing complexity of IT environments, with the proliferation of cloud services, microservices architectures, and hybrid infrastructures, necessitates advanced solutions like AIOps for effective monitoring, management, and optimization.

Need for Enhanced Operational Efficiency:

• Organizations are under pressure to improve operational efficiency and reduce downtime. AIOps platforms enable proactive incident detection, automated root cause analysis, and faster issue resolution, leading to significant efficiency gains.

Adoption of Cloud and Multi-Cloud Strategies:

The widespread adoption of cloud computing and multi-cloud strategies increases the need for robust monitoring and management solutions that can operate across diverse environments. AIOps platforms provide the necessary visibility and control for cloud-native and hybrid IT infrastructures.

Emphasis on Digital Transformation:

• As businesses undergo digital transformation, the demand for real-time insights and agile IT operations grows. AIOps platforms support digital transformation by providing comprehensive monitoring and analytics capabilities that help optimize digital services and customer experiences.

Integration of AI and Machine Learning:

• The integration of AI and machine learning technologies in AIOps platforms enhances their capabilities, enabling predictive analytics, anomaly detection, and automated remediation. These advanced features are crucial for managing modern IT environments effectively.

AIOps platform Market Share - Global Industry Landscape

The AIOps platform market is characterized by the presence of several key players competing for market share. Some of the leading companies in the AIOps platform industry include:

• IBM (US)
• Broadcom (US)
• OpenText (Canada)
• AIMS Innovation (Norway)
• Interlink Software (UK)

These companies offer a range of AIOps solutions that help organizations optimize their IT operations, reduce downtime, and improve overall efficiency by leveraging artificial intelligence and machine learning technologies.

IBM (US)

• Market Share: IBM is a leading player in the AIOps market, leveraging its extensive experience in AI and machine learning.
• Key Offering: IBM offers the Watson AIOps platform, which uses AI to automate IT operations and provide real-time insights. Watson AIOps helps in anomaly detection, root cause analysis, and predictive maintenance, integrating seamlessly with existing IT infrastructures.

Broadcom (US)

• Market Share: Broadcom holds a substantial position in the AIOps market through its acquisition of CA Technologies.
• Key Offering: Broadcom provides the DX Operational Intelligence platform, which leverages AI and machine learning to deliver advanced IT operations management. The platform offers predictive analytics, automated remediation, and comprehensive monitoring capabilities.

OpenText (Canada)

• Market Share: OpenText is an emerging player in the AIOps market, known for its information management and analytics solutions.
• Key Offering: OpenText's AIOps solutions are integrated within its broader analytics and information management platforms. These solutions focus on automating IT operations, providing real-time insights, and enhancing operational efficiency through advanced data analytics.

AIMS Innovation (Norway)

• Market Share: AIMS Innovation is a niche player in the AIOps market, recognized for its innovative approach to IT operations analytics.
• Key Offering: AIMS offers an AI-powered platform that provides real-time monitoring and predictive insights for IT operations. The AIMS platform helps organizations detect anomalies, predict potential issues, and optimize performance through machine learning and advanced analytics.

Interlink Software (UK)

• Market Share: Interlink Software is a specialized player in the AIOps market, focusing on IT operations and service management.
• Key Offering: Interlink Software provides an AIOps platform that includes comprehensive monitoring, predictive analytics, and automated incident management. Their solutions are designed to enhance IT service reliability and performance by leveraging AI and machine learning for proactive issue detection and resolution.

Related Reports:

AIOps Platform Market by Offering (Platforms (Domain-centric, Domain-agnostic), Services (Professional, Managed)), Application (Infrastructure Management, ITSM, Security & Event Management), Deployment Mode, Vertical and Region - Global Forecast to 2028