Artificial Intelligence for IT Operations Platform Market size is set to reach US$8.59 billion by 2032, at a CAGR of 23.48%. North America leads the market with 44% market share | Market trends, tech partnership & future opportunities.

Artificial Intelligence for IT Operations Platform Market reached US$1.59 billion in 2024 and is expected to reach US$8.59 billion by 2032, growing with a CAGR of 23.48% during the forecast period 2025-2032.

Artificial Intelligence for IT Operations Platform Market growth is driven by rising IT complexity, real-time incident prediction needs, automated root-cause analysis, cloud-native infrastructures, and enterprises demanding faster uptime with lower operational costs.

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United States: Key Industry Developments (2026 & 2025)
✅ February 2026: ControlUp's acquisition of Unipath expands its AI operations platform capabilities by integrating autonomous diagnostics and real-time remediation via agentic AI functions, aiming to cut helpdesk involvement and accelerate self-healing IT processes.

✅ January 2026: New Relic releases its 2026 AI Impact Report showing AIOps adoption significantly boosts engineer productivity, reinforcing demand for AI-driven IT operations insights and analytics in US enterprises.

✅ January 2026: Omdia releases AIOps universe for 2025-26, ranking leading AIOps vendors and technologies driving automated incident detection and resolution underlining growing platform maturity in the US market.

✅ (Product/Platform from 2025) June 2025: AI SRE Teammate by Ciroos officially emerges from stealth with agentic automation for incident investigation and response, integrating with tools like Datadog and Jira positioned as a next-generation AIOps assistant.

Japan: Key Industry Developments (AI for IT Operations Platform)
✅ October 2025: Selector (AIOps platform) partners with Tokyo-based integrator Ranger Systems to localize its AI operations platform in Japan, accelerating adoption of intelligent IT operations tools across enterprise networks.

✅ June 2025: Japanese METI (Ministry of Economy, Trade and Industry) invests in AI operations innovation, allocating funds to support AIOps platform development and next-gen automation adoption across industries.

✅ May 2025: Fujitsu unveils a new AIOps platform that integrates predictive analytics and automated incident management, enhancing real-time monitoring and operational efficiency for Japanese IT environments.

Artificial Intelligence for IT Operations Platform Market Recent M&A activities:-
→ In December 2025, ServiceNow announced the acquisition of cybersecurity firm Armis for $7.75 billion to expand AI-enabled security capabilities across enterprise operations, reinforcing its IT workflow automation and risk management portfolio. This acquisition supports proactive AI-driven operations and cybersecurity integration.

→ In February 2026, Snowflake entered into a $200 million partnership with OpenAI to integrate advanced AI agents into its data platform a collaboration that, while not a full acquisition, strategically enhances AI-powered data querying and automated operational intelligence.

→ In 2026 (Q1), ControlUp acquired Unipath, an AI-driven SOAR (Security Orchestration, Automation, and Response) solution provider, to broaden automated diagnostics and self-healing in IT operations strengthening its AI-enabled endpoint and operational management stack. (Financial details not publicly disclosed)

→ In August 2025, Thoma Bravo announced plans to acquire Verint Systems for approximately $2 billion a deal that gives the PE firm greater control over AI-driven customer engagement and automation technologies improving operational workflows.

Artificial Intelligence for IT Operations Platform Market key Players:-
APPDYNAMICS, BMC Software, Inc., Broadcom Inc., HCL Technologies Limited, IBM Corporation, Micro Focus International plc, Dell Inc., ProphetStor Data Services, Inc., Splunk LLC and Thales

Top 5 Key Players Analysis:-
1. IBM Corporation - IBM is widely recognized as a leading AIOps provider with one of the largest market shares globally, often cited as holding 18 % of the broader AIOps market thanks to its enterprise-focused solutions.
It integrates AI/ML across its Cloud Pak for AIOps and Watson platforms to deliver proactive incident detection and automated problem resolution.

2. Splunk LLC - Splunk is another top contender in the AIOps space, with approximately 16 % market share driven by strong data analytics and real-time monitoring capabilities.
Its platform excels at ingesting and correlating operational data to provide insights and anomaly detection across complex IT environments.

3. Broadcom Inc. - Broadcom (via CA Technologies) is a significant player in the AIOps market, offering AI-driven IT operations management tools that enhance visibility and automate incident response.
It holds a strong position among enterprise customers by embedding predictive analytics into its ITOM portfolio.

4. AppDynamics (Cisco) - AppDynamics, part of Cisco, is known for AIOps capabilities focused on application performance monitoring and real-time insights.
It helps organizations tie operational performance with business outcomes, strengthening its adoption among large enterprises.

5. BMC Software, Inc. - BMC is a major competitor with a broad IT operations management suite enhanced by AI/ML for predictive and automated operations.
The company actively expands its market footprint through acquisitions and integration of observability and AIOps features.

Artificial Intelligence for IT Operations Platform Market Top Technological Partnerships (2026 & 2025):-

Visionet Systems Inc. + Algomox Pvt. Ltd.
• Partnered in March 2024 to integrate Algomox's advanced AIOps platform into Visionet's managed services boosting cloud automation, operational insights, and security while cutting management costs.
ServiceNow + AWS, Microsoft, Cisco, Adobe & Oracle

• At ServiceNow Knowledge 2025, the company unveiled a wide set of strategic partnerships to improve AI-driven IT operations capabilities.

• These alliances focus on unified data workflows, real-time insights, and AI agents for autonomous IT tasks.
Microsoft + Dynatrace Collaboration (2025)

• Microsoft expanded integration with Dynatrace to deliver deeper AI-powered IT operations capabilities on Azure enhancing observability, predictive analytics, and automated remediation.
General AIOps Ecosystem Teams

• Multiple leading tech vendors (Microsoft, IBM, Google Cloud, AWS, Splunk, Cisco, BMC Software, Moogsoft, PagerDuty) are actively co-innovating or aligning through integrations and joint partnerships that embed AI models into IT operations tools.

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Artificial Intelligence for IT Operations Platform Market Drivers :-
The surge in hybrid and multi-cloud environments has made traditional monitoring obsolete. As complexity rises, organizations are turning to AIOps platforms to automate problem detection and resolution driving deployment growth by 25% annually in some segments.

Real-time insights into system performance have become a strategic priority. Businesses using AI for real-time analytics can see 50% faster incident response times, improving uptime and service reliability.

Proactive monitoring and predictive maintenance reduce firefighting time. Firms using predictive AIOps have reported up to 60% shorter resolution times, positioning AI as critical for operational excellence.

Adoption of AIOps platforms is linked to 30% reduction in operational costs, boosting organizational ROI and enabling IT teams to reallocate effort toward innovation.

Integration of ML and pattern-recognition capabilities (predictive analytics now 70% of new features) is accelerating adoption as IT ops leaders seek autonomous and anticipatory capabilities.

Smaller and mid-sized enterprises are increasing AIOps uptake (28% annual growth in 2024) as SaaS offerings make advanced IT automation more affordable.

Artificial Intelligence for IT Operations Platform Market Regional Insights:-
North America
• North America is the largest region in the AIOps market, holding around 44% of the global market share, driven by advanced AI adoption and strong IT infrastructures.
• The region benefits from high enterprise digitization, early adoption of automation, and major technology vendors headquartered here.

Europe
• Europe accounts for approximately 29% of the global market share, with widespread digital transformation and regulatory compliance pushing AIOps demand.
• Adoption is driven by improved IT operations efficiency and regulatory frameworks like GDPR.

Asia Pacific
• Asia Pacific holds about 32% of the global share and is often cited as the fastest-growing region due to rapid digitalization across China, India, and Southeast Asia.
• Significant growth is supported by expanding cloud adoption and increased investments in AI technology across enterprises.

Market Opportunities & Challenges: Artificial Intelligence for IT Operations Platform Market 2026

Opportunities: AIOps is becoming the control layer for hybrid and multi-cloud IT. Explosive data growth, GenAI-assisted incident resolution, and rising MTTR reduction mandates are pushing enterprise adoption, with regulated industries accelerating spend on autonomous operations and predictive analytics.

Challenges: Fragmented tool ecosystems, data quality dependency, and trust gaps in automated decision-making slow ROI realization. Integration with legacy monitoring stacks and skills shortages in AI-Ops engineering remain critical execution risks.

Strategic Verdict: Platforms offering vendor-agnostic integration, explainable AI, and GenAI-powered root-cause automation will dominate 2026, positioning AIOps as a core pillar of resilient, self-healing digital infrastructure.

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Artificial Intelligence for IT Operations Platform Market Market Segmentation
By Offering:
The Artificial Intelligence for IT Operations (AIOps) platform market is segmented by offering into platforms, domain-centric and domain-agnostic solutions, and services. Platforms lead adoption due to unified monitoring and automation capabilities, while services support implementation, customization, and ongoing optimization across complex IT environments.

By Application:
Based on application, the market addresses infrastructure management, application performance analysis, real-time analytics, and network and security management. Growing IT complexity and the need for proactive issue resolution are driving demand for AI-driven insights across critical operational functions.

By Deployment:
In terms of deployment, the market is divided into cloud-based and on-premises solutions. Cloud deployment is gaining strong traction due to scalability and cost efficiency, while on-premises solutions remain relevant for organizations with strict data security and compliance requirements.

By Organization Size:
The market is segmented by organization size into large enterprises and small and medium-sized enterprises (SMEs). Large enterprises dominate adoption due to extensive IT infrastructures, while SMEs are increasingly adopting AIOps to improve operational efficiency with limited resources.

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