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AIOps Platform Market Share

ID: MRFR//10225-HCR | 128 Pages | Author: Aarti Dhapte| September 2025

Introduction: Navigating the Competitive Landscape of AIOps Platforms

AIOps platforms are undergoing a tidal wave of competition, driven by the speed of technology adoption, regulatory frameworks and rising consumer expectations of digital experiences. The leaders of the field, such as original equipment manufacturers, system integrators, hardware and software vendors, and a new generation of AI-enabled startups, are establishing themselves through their distinctive capabilities. They are offering different products and services. For example, the original equipment manufacturers are focusing on providing an integrated solution to enhance operational efficiency, while the system integrators are providing tailored solutions to meet the needs of individual enterprises. The AI-enabled startups are disrupting the field with advanced AI-based analytics and automation tools, which enable real-time insights and predictions. In addition, the ability to integrate the Internet of Things and green technology into their offerings has become a critical differentiator, affecting their market positioning and customer loyalty. In the years 2024–2025, there will be more opportunities for AIOps platforms, especially in North America and Asia–Pacific, as strategic deployments coincide with the growing demand for intelligent operations management.

Competitive Positioning

Full-Suite Integrators

These vendors offer comprehensive AIOps solutions that integrate multiple functionalities for end-to-end IT operations management.

VendorCompetitive EdgeSolution FocusRegional Focus
AppDynamics Real-time application performance monitoring Application performance management Global
BMC Software, Inc. Strong IT service management capabilities IT operations management North America, Europe
International Business Machines Corporation Robust AI and analytics integration Cloud and AI-driven operations Global
Micro Focus Comprehensive hybrid IT management IT operations and security Global
Splunk Inc. Powerful data analytics capabilities Data analytics and monitoring Global

Specialized Technology Vendors

These vendors focus on niche AIOps technologies, providing specialized solutions that enhance specific operational aspects.

VendorCompetitive EdgeSolution FocusRegional Focus
Broadcom Strong focus on network and security solutions Network performance management Global
HCL Technologies Limited Expertise in digital transformation services IT service management and automation Global
Moogsoft AI-driven incident management AIOps and incident response North America, Europe
Resolve Systems Automation of IT operations IT automation and orchestration North America, Europe
Prophet Stor Data Services, Inc. Focus on data-driven insights Data management and analytics North America

Emerging Players & Regional Champions

  • DATABORO (USA): Offers automated machine-learning solutions for IT operations, recently teamed up with a major telecommunications company to monitor network performance, and challenges the established vendors like Splunk with its more user-friendly interface and faster deployment time.
  • Moogsoft (USA) specializes in incident management and AIOps for DevOps environments. They have recently signed a contract with a large financial organization to improve their IT operations, complementing the traditional vendors with their focus on collaboration and real-time insights.
  • AIOps.ai (India): Focuses on the application of predictive analysis and anomaly detection for small and medium-sized enterprises (SMEs), has recently implemented its platform for a local health care provider, and offers cost-effective solutions to compete with large players through tailored services.
  • SRE (Germany): AIOps tools for cloud-native applications, recently teamed up with a European car manufacturer to optimize their cloud environment, a regional champion against larger competitors by emphasizing local support and compliance.
  • The cloud-based data-fabric specialist Cloudfabrix is launching a new approach to AIOps, based on observability and data-fabric technology. The company has just launched a pilot with a large retailer to enhance the visibility of its supply chain. Cloudfabrix complements existing products by integrating them with the tools that are already in use.

Regional Trends: IT is growing in complexity, and the need for automation is growing. There are now many specialist suppliers for areas such as data analysis, incident management and cloud-native applications. Newcomers use their local knowledge to offer a tailored solution. But established suppliers are also facing competition from agile newcomers who offer smart and easy-to-use alternatives.

Collaborations & M&A Movements

  • IBM and ServiceNow entered a partnership to integrate AI-driven incident management solutions, aiming to enhance operational efficiency and improve customer service in the AIOps space.
  • Splunk acquired SignalFx to bolster its observability capabilities, positioning itself as a leader in real-time monitoring and analytics for enterprise IT environments.
  • Dynatrace and Microsoft collaborated to embed AIOps functionalities within Azure, enhancing cloud performance management and driving competitive differentiation in the cloud services market.

Competitive Summary Table

CapabilityLeading PlayersRemarks
AI-Powered Ops Management IBM, Splunk, Dynatrace AIOps is a service provided by IBM that uses machine learning to automatically react to incidents, thereby reducing the duration of incidents and downtime. Splunk is a platform that uses real-time data analysis to predict and resolve incidents. It has been deployed in large-scale enterprises. Dynatrace is a platform that provides complete stack monitoring and AI-driven insights. It makes it possible to operate at peak efficiency.
Biometric Self-Boarding Gemalto, NEC, SITA In major airports, Gemalto’s biometric solutions have shortened boarding times by a third. NEC’s technology is renowned for its accuracy and speed, improving security and easing the flow of passengers. SITA’s Smart Path solution is already proving its worth in many international airports.
Border Control Thales, Vision-Box, Gemalto Thales has developed the most advanced solutions for border control, which use artificial intelligence for real-time detection of threats. These solutions have been successfully deployed in Europe. Vision-Box’s biometric border control systems have been adopted by more than one hundred airports. They have improved both security and the speed of border crossing. Gemalto’s border control solutions have been praised for their scalability and their capacity for integration.
Sustainability Microsoft, IBM, ServiceNow Microsoft's AIOps sustainability initiatives are aimed at reducing energy consumption and the carbon footprint. Case studies show that significant savings can be made. IBM integrates its AIOps solutions with its sustainability metrics. This can help companies meet their compliance requirements. ServiceNow's platform includes an element of sustainability, enabling companies to monitor and improve their environmental performance.
Passenger Experience Amadeus, SITA, Travelport The personalised travel solutions developed by Amadeus are already in use by the major airlines. And SITA’s intelligent tools for passenger flow management make use of artificial intelligence to ensure that airport operations are running smoothly and travellers are satisfied. Travelport’s platform makes it possible to offer a smooth, unified travel experience. It also makes use of artificial intelligence to provide a personalised travel recommendation.

Conclusion: Navigating AIOps: Competitive Landscape Insights

As we approach 2025, the AIOps platform market is highly fragmented and competitive, with established players and emerging start-ups vying for market share. The market is growing in North America and Europe, and the Asia-Pacific region is catching up rapidly, driven by digital transformation initiatives. The leading vendors are deploying advanced capabilities such as advanced analytics, automation, and a focus on the green data center to differentiate their offerings. The established vendors are focusing on integrating AI and automation into their existing frameworks, while the start-ups are deploying flexible, disruptive solutions to disrupt the market. The ability to deliver robust AI capabilities, seamless automation, and sustainable practices will be the deciding factors in market leadership and long-term success in this evolving market.

Covered Aspects:
Report Attribute/Metric Details
Base Year For Estimation 2022
Historical Data 2018- 2022
Forecast Period 2023-2032
Growth Rate 18.20% (2023-2032)
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