Anomaly Detection Market to Reach $16.1 Billion by 2035

Anomaly detection market was valued at $6.2 billion in 2025 and is projected to reach $16.1 billion by 2035, expanding at a CAGR of 10.1% from 2026 to 2035. Increasing cybersecurity risks are strengthening the requirement for technologies that identify unusual activity across enterprise networks, user identities, applications, and connected systems. According to the European Union Agency for Cybersecurity (ENISA), its ENISA Threat Landscape 2025 report analysed 4,875 cybersecurity incidents recorded between July 2024 and June 2025. The report provides evidence of the range of threats affecting digital environments and the need to identify suspicious behaviour before it develops into a more serious incident. Anomaly detection technologies support these requirements by establishing behavioural baselines, identifying deviations from normal activity, and helping security teams investigate potentially malicious events across enterprise infrastructure.

Browse the full report description of “Anomaly Detection Market Size, Share & Trends Analysis Report, By Component (Solution, Services), By Deployment (Cloud, On-Premises), By Application (Fraud Detection, Cybersecurity, Predictive Maintenance, Network Monitoring, Quality Control, IT Operations, Other Application), By End User (BFSI, IT & Telecom, Manufacturing, Healthcare, Retail, Government, Energy & Utilities), Forecast Period (2026–2035) at https://www.omrglobal.com/industry-reports/anomaly-detection-market

The increasing adoption of artificial intelligence is also creating opportunities for anomaly detection applications in business operations. According to Eurostat, 20.0% of EU enterprises with at least 10 employees used artificial intelligence technologies in 2025, compared with 13.5% in 2024. As enterprises incorporate AI into analysis, automation, and decision-making, monitoring requirements extend to model outputs, data quality, process behaviour, and system performance. Anomaly detection can help identify unexpected changes in these areas and support operational monitoring across manufacturing, healthcare, financial services, retail, and information technology. Its applications include detecting unusual transactions, identifying equipment-performance deviations, monitoring network activity, and highlighting irregularities in production processes.

Growing Cybersecurity Requirements Support Anomaly Detection Adoption

The growing complexity of cyber threats is increasing the need to identify deviations in network traffic, account activity, and access patterns. ENISA's Threat Landscape 2026, published in September 2026, analysed cybersecurity incidents and events observed during 2025 and identified ransomware, hacktivist activity, and cyberespionage among the threats affecting the European Union. The agency also highlighted the role of interconnected digital ecosystems in the evolving threat environment. These developments are relevant to anomaly detection because suspicious activity may emerge through compromised identities, unusual access sequences, unexpected data transfers, or changes in communication patterns. Behaviour-based detection can complement conventional security rules by identifying deviations that require further investigation, supporting cybersecurity operations across public administration, financial services, manufacturing, and other sectors.

Cloud Deployment Expands Enterprise Monitoring Requirements

The cloud segment is positioned to benefit from the wider adoption of remotely hosted enterprise applications and computing resources. Eurostat reported that 52.7% of EU enterprises purchased paid cloud computing services in 2025, an increase of 7.4 percentage points compared with 2023. Among the services used, 65.5% of enterprises using paid cloud services reported using security software applications. The expansion of cloud-based business systems increases the importance of monitoring activity across user accounts, applications, workloads, and data access. Cloud-deployed anomaly detection solutions can analyse activity across distributed environments and help organizations identify unusual events without maintaining all detection infrastructure locally. Their deployment can support centralized monitoring, scalable processing, and integration with existing security and IT operations systems.

Recent Developments

• In January 2026, Vectra AI, Inc. launched its next-generation platform with unified observability, behavioral AI, AI-agent discovery, and behaviour-based threat detection capabilities. The platform is designed to identify abnormal and malicious behaviors across modern enterprise environments, supporting preemptive security, proactive threat detection, and faster containment of cyberattacks.
• In July 2025, Darktrace plc acquired Mira Security to strengthen network traffic visibility and encrypted-traffic analysis. The acquisition enhanced Darktrace’s ability to detect anomalous network activity across on-premises, cloud, and hybrid environments, supporting improved cybersecurity monitoring and threat detection.

Market Coverage

• The market number available for 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
• By Component
• By Deployment
• By Application
• By End User
• Regions Covered-
• North America
• Europe
• Asia-Pacific
• Rest of the World
• Competitive Landscape – International Business Machines Corporation (IBM), Cisco Systems, Inc. (Splunk Inc.), Microsoft Corporation, Datadog, Inc., and Rapid7, Inc. are among others.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Anomaly Detection Market Report Segment

By Component

• Solution
• Services

By Deployment

• Cloud
• On-Premises

By Application

• Fraud Detection
• Cybersecurity
• Predictive Maintenance
• Network Monitoring
• Quality Control
• IT Operations
• Other Application

By End User

• BFSI
• IT & Telecom
• Manufacturing
• Healthcare
• Retail
• Government
• Energy & Utilities

Anomaly Detection Market Report Segment by Region

North America

• United States
• Canada

Europe

• UK
• Germany
• Italy
• Spain
• France
• Russia
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• South Korea
• Australia and New Zealand
• ASEAN Economies
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

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