Incident Categorization Artificial Intelligence (AI) Market Report 2026

Incident Categorization Artificial Intelligence (AI) Market Overview

• Incident Categorization Artificial Intelligence (AI) market size has reached to $2.12 billion in 2025 • Expected to grow to $7.68 billion in 2030 at a compound annual growth rate (CAGR) of 29.3% • Growth Driver: Surge In Cyber Threats Fueling The Growth Of The Market Due To Expanded Digital Attack Surfaces • Market Trend: Use Of Advanced Artificial Intelligence Technologies In Incident Management To Enhance Operational Resilience • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Incident Categorization Artificial Intelligence (AI) Market?

Incident categorization artificial intelligence (AI) refers to the use of artificial intelligence to automatically analyze and classify IT support tickets or security alerts. It examines the text and context of incoming incidents to identify the type of issue, its priority level, and the required support team. This technology learns from historical data to improve its accuracy over time The main components of the incident categorization artificial intelligence (AI) are software and services. The incident categorization artificial intelligence (AI) is software that uses AI to automatically classify and prioritize incidents across various organizational processes. The market is segmented by organization size into small and medium enterprises and large enterprises. Deployment modes include on-premises and cloud solutions. Key applications include IT operations, security operations, customer support, and risk management. Major end users are banking, financial services, and insurance (BFSI), healthcare, IT and telecom, government, retail, manufacturing, and others.

What Is The Incident Categorization Artificial Intelligence (AI) Market Growth Forecast?

The incident categorization artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $7.68 billion in 2030 at a compound annual growth rate (CAGR) of 29.3%. The growth in the forecast period can be attributed to genAI-powered incident summarization, auto-routing with context enrichment, integration across itSM and siem, continuous learning classification models, self-healing operations enablement. Major trends in the forecast period include nlp-based ticket classification, auto-priority and routing automation, context-enriched incident summarization, continuous learning from resolutions, integration with itsm and siem workflows.

Global Incident Categorization Artificial Intelligence (AI) Market Segmentation

1) By Component: Software, Services 2) By Organization Size: Small And Medium Enterprises, Large Enterprises 3) By Deployment Mode: On-Premises, Cloud 4) By Application: Information Technology Operations, Security Operations, Customer Support, Risk Management, Other Applications 5) By End-User: Banking, Financial Services, And Insurance, Healthcare, Information Technology And Telecom, Government, Retail, Manufacturing, Other End-Users Subsegments: 1) By Software: Machine Learning Algorithms, Natural Language Processing Models, Predictive Analytics Tools, Workflow Automation Platforms, Data Integration Solutions, Incident Detection Systems, Cloud-Based Categorization Software 2) By Services: Implementation Services, Consulting Services, Training And Support Services, Managed Services, System Integration Services, Maintenance And Upgradation Services, Data Analysis And Reporting Services

What Is The Driver Of The Incident Categorization Artificial Intelligence (AI) Market?

The increasing cyber threats are expected to propel the growth of the incident categorization artificial intelligence market going forward. Cyber threats refer to malicious acts that aim to damage, disrupt, or gain unauthorized access to digital systems, networks, and data. The rise in cyber threats is primarily driven by increasing digitalization and cloud adoption, which expand the attack surface and create more entry points for malicious actors to exploit vulnerabilities in interconnected systems. Incident categorization artificial intelligence helps organizations manage these threats by automatically identifying, classifying, and prioritizing security incidents, enabling faster and more accurate threat detection and response. For instance, in 2023, according to the Australian Signals Directorate, the number of cybercrime reports in Australia rose to over 94,000, up from over 76,000 in 2022. Therefore, as cyber threats continue to grow and digital attack surfaces expand, the demand for incident categorization artificial intelligence solutions is expected to increase, driving growth in this market.

Key Players In The Global Incident Categorization Artificial Intelligence (AI) Market

Major companies operating in the incident categorization artificial intelligence (AI) market are IBM Corporation, HCL Technologies Limited, ServiceNow Inc., Palo Alto Networks Inc., Fortinet Inc., Splunk Inc., Atlassian Corporation Plc, CrowdStrike Holdings Inc., Check Point Software Technologies Ltd., Datadog Inc., Elastic NV, Rapid7 Inc., Ivanti Inc., Freshworks Inc., Qualys Inc., PagerDuty Inc., Sumo Logic Inc., LogicMonitor Inc., SolarWinds Worldwide LLC, Moogsoft Inc., BMC Software Inc., Resolve Systems LLC, BigPanda Inc.

Global Incident Categorization Artificial Intelligence (AI) Market Trends and Insights

Major companies operating in the incident categorization artificial intelligence (AI) market are focusing on advancements in AI technologies, such as operational resilience, to enhance system reliability, minimize downtime, and ensure continuous service delivery. Operational resilience refers to an organization’s ability to prevent, respond to, and recover from disruptions while maintaining essential business operations. For instance, in October 2024, PagerDuty, a US-based digital operations management company, launched its new AI-powered capabilities to help organizations reduce the impact of unplanned outages and strengthen operational resilience. The platform also introduces a unified chat experience and updates to the Operations Console, streamlining coordination, reducing context switching, and speeding incident response. These improvements enable teams to predict, resolve, and prevent incidents more efficiently, potentially saving millions in downtime costs and enhancing customer trust.

What Are Latest Mergers And Acquisitions In The Incident Categorization Artificial Intelligence (AI) Market?

In September 2023, Cisco Systems, Inc., a US-based digital communications technology conglomerate, acquired Splunk Inc. for approximately $28 billion. Through this acquisition, Cisco aims to integrate Splunk's security and observability platform to strengthen its own cybersecurity and data analytics offerings. Splunk Inc. is a US-based company specializing in software for searching, monitoring, and analyzing machine-generated data.

Regional Insights

North America  was the largest region in the incident categorization artificial intelligence market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Incident Categorization Artificial Intelligence (AI) Market?

The incident categorization artificial intelligence (AI) market consists of revenues earned by entities by providing services such as mobile/web apps, root cause analysis AI, predictive threat detection, and hybrid AI deployment. The market value includes the value of related goods sold by the service provider or contained within the service offering. The incident categorization artificial intelligence (AI) market also includes sales of real-time alerts and collaboration, automated reporting and analytics, user training & support, and consulting for workflow automation. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The incident categorization AI market is segmented by component, deployment mode, organization size, application, and end-user.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Incident Categorization Artificial Intelligence (AI) Market Report 2026?

The incident categorization artificial intelligence (ai) market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the incident categorization artificial intelligence (ai) industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.