AI Cyber Security Market Size, Share, Opportunities, And Trends By Application (Verification, Identity, and Access Management, Fraud Detection and Identifying Phishing, Incident Response, Others), By Deployment (Cloud, On-Premise), By End-User (Retail and E-commerce, BFSI, Government, Automotive and Transportation, Healthcare, Others), And By Geography - Forecasts From 2024 To 2029

The AI cyber security market is expected to grow at a CAGR of 24.56%, reaching a market size of US$86.829 billion in 2029 from US$38.142 billion in 2024.

The term artificial intelligence (AI) cyber security entails enhancing the security of networks, digital systems, and data from cyber threats using AI technology and machine learning capability. Specifically, it uses AI algorithms to identify, prevent, and counter various forms, including cyberattacks, outbreaks, and compromise of security, among others.

AI cyber security integrates threat intelligence streams and databases to enhance the security layer and decision-making processes. AI systems are increasingly helpful for these organizations by providing information about the threats and attack patterns promptly after collecting and processing data on threats from many channels such as OSINT, dark web scans, and security research. In-ceiling the ground with machines, CEB headers use AI and machine learning to evaluate user activities, hence being able to track down any threats posed by users, breaches of accounts, and strange entry attempts. However, user behavior analytics systems can integrate user behavior data and other relevant contextual/predicated factors, such as risk, to identify unusual behaviors estimating possible threats to the security or other wrongful activities.

In the face of contemporary threats, which are quite complicated and dynamic, AI cybersecurity protects organizations from the negative impacts of cyber-attacks, increases efficiency in threat detection and response, and improves overall security rounds. With the help of AI technologies, organizations can re-gear their defenses and lessen the damage costs occurring due to infiltration of their computer systems and data.

What are AI cyber security market drivers:

• Increasing cyber threat is fueling the AI cyber security market growth

As the rate of cyber invasions intensifies, so does the rate of evolution of the incidence of cybercrimes. Hence, in the last few years, there has been an ever-growing demand for advanced cyber security, with the likes of systems that detect and prevent intrusions using AI. The statistics provided by the Indian Ministry of Home Affairs stated that there have been more than 16 lakh cybercrime complaints which were received from January 01, 2020, to December 07, 2022, in India, as well as more than 32 thousand FIRs that were lodged during the above-mentioned period.

The escalating cyber-attack risk highlights the need for new effective cybersecurity systems capable of providing constant online threat detection, initiatives for online threat detainment, and defense mechanisms that can evolve with the threats. Cybersecurity solutions that utilize AI technologies are helping organizations to swiftly detect and respond to emerging cyber threats. Thus, it minimizes risks and eliminates the chances of data losses and other security threats. With the changes in the threat landscape, the need for AI cybersecurity solutions is expected to increase as organizations considering cybersecurity as a business risk management must incorporate such solutions.

• Growing demand for cloud-based security solutions is contributing to the AI cyber security market growth

With the increasing dependency on cloud systems, cloud security becomes even more important by providing the means for actively protecting individuals, companies, or public entities from new forms of criminal activity appearing in cyberspace. This suggests how a cloud security solution such as Cisco Umbrella – a Secure Access Service Edge (SASE) security product offered by Cisco works. This solution provides networking and security services delivered over the cloud, enabling businesses to scale their operations up or down without geographical limitations.

The SASE security model, also an additional product of the service offered by the SASE provider, is placed at the edge of the cloud, providing complete security from data centers to remote access and mobile users. SASE allows the secure utilization of cloud-based teamwork software or application servers within the organization's headquarters. This results in increased adoption of AI-supported cybersecurity solutions as organizations seek to prevent losses and costs associated with improving cloud security.

• Increased use in threat detection and prevention systems is also contributing to AI cyber security market growth

Threat assessment and prevention systems utilize threat information feeds and databases to enhance security analytic and decision-making capabilities. Incident response systems assist in forming and analyzing forensic data regarding security incidents, which helps in the investigation and recovery process. Security orchestration, automation, and response solutions enhance incident response processes and enable coordination between security personnel and IT operations.

User and Entity Behaviour Analytics based on AI is incorporated into the Identity and Access Management systems for identifying unusual behavior patterns that pose any security risk. AI-powered adaptive authentication systems tailor authentication requirements to user behavior, context, and risk factors, enhancing access restrictions and minimizing unauthorized access threats.

Major challenges hindering the AI cyber security market:

• High resource intensity and cost of AI cyber security solutions hampering the market growth

Developing, installing, and maintaining AI cyber security systems may be time-consuming and expensive for businesses. AI algorithms' training and inference activities require enormous computing resources, necessitating high-performance hardware, cloud services, and storage infrastructure. In the AI cyber security market, vendors and organizations need to improve the cost, reach, and ease of use of AI-enhanced security systems. This will enable the organizations to harness these systems fully.

Geographical outlook of the AI cyber security market:

• North America is witnessing exponential growth during the forecast period

The North American region is expected to have a sizable proportion of the AI cyber security market due to the spike in network-connected devices and the rising use of the Internet of Things, 5G, and Wi-Fi.

Organizations in the automotive, healthcare, government, energy, and mining industries have accelerated 5G network deployment, creating a potential access point for hackers. This region is replete with numerous research institutions for startups focusing on AI. It is home to strong industry players like Anthropic, Adept AI, Berkeley AI research lab, University Of Arizona Artificial Intelligence Lab, Wysa, and so many others, which are making great contributions to the development of AI-based cybersecurity systems.

In addition, various government programs, initiatives of public-private partnerships, and investment projects in cybersecurity boost cyber posture and protect infrastructure against such attacks. This region is subject to various cyber threats: nation-state attacks, cyber espionage, ransomware attacks, enclosing threats, and even more. Hence, there is a high demand for such AI-powered cybersecurity solutions targeted at threat detection, incident response, and risk mitigation measures.

Key launches in the AI cyber security market:

• In September 2024, the Canadian Department of National Defence, the US Defense Advanced Research Projects Agency (DARPA), and the Ministry of Defence collaborated to develop, test, and evaluate technologies related to information domains, cyber, artificial intelligence (AI), and resilient systems. By creating new operational concepts that center on real-world problems, the methodologies, algorithms, capabilities, and tools developed will be utilized to their full potential.
• In August 2024, IBM introduced a new cybersecurity tool that uses generative AI to improve managed threat detection and response capabilities. The IBM Consulting Cybersecurity Assistant aims to help clients identify, investigate, and respond to critical security threats more quickly and effectively.

AI Cyber Security Market Scope:

Report Metric	Details
AI Cyber Security Market Size in 2024	US$38.142 billion
AI Cyber Security Market Size in 2029	US$86.829 billion
Growth Rate	CAGR of 24.56%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Billion
Segmentation	Application Deployment End-User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the AI Cyber Security Market	Darktrace IBM Vectra  AI CroudStrike Fortinet
Customization Scope	Free report customization with purchase

 

The AI cyber security market is analyzed into the following segments:

• By Application
  • Verification, Identity, and Access Management
  • Fraud Detection and Identifying Phishing
  • Incident Response
  • Others
• By Deployment
  • Cloud
  • On-Premise
• By End-User
  • Retail and E-commerce
  • BFSI
  • Government
  • Automotive and Transportation
  • Healthcare
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • UK
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI CYBER SECURITY MARKET BY APPLICATION

5.1. Introduction

5.2. Verification, Identity, and Access Management

5.3. Fraud Detection and Identifying Phishing

5.4. Incident Response

5.5. Others

6. AI CYBER SECURITY MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-Premise

7. AI CYBER SECURITY MARKET BY END-USER

7.1. Introduction

7.2. Retail and E-commerce

7.3. BFSI

7.4. Government

7.5. Automotive and Transportation

7.6. Healthcare

7.7. Others

8. AI CYBER SECURITY MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Application

8.2.2. By Deployment

8.2.3. By End-User

8.2.4. By Country

8.2.4.1. USA

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Application

8.3.2. By Deployment

8.3.3. By End-User

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Application

8.4.2. By Deployment

8.4.3. By End-User

8.4.4. By Country

8.4.4.1. Germany

8.4.4.2. France

8.4.4.3. UK

8.4.4.4. Spain

8.4.4.5. Others

8.5. Middle East and Africa

8.5.1. By Application

8.5.2. By Deployment

8.5.3. By End-User

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Application

8.6.2. By Deployment

8.6.3. By End-User

8.6.4. By Country

8.6.4.1. China

8.6.4.2. Japan

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Indonesia

8.6.4.6. Taiwan

8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Darktrace 

10.2. IBM 

10.3. Vectra  AI

10.4. CroudStrike 

10.5. Fortinet 

10.6. SentinelOne 

10.7. Cylance  AI (Blackberry)

10.8. Cynet 

Darktrace 

IBM 

Vectra  AI

CroudStrike 

Fortinet 

SentinelOne 

Cylance  AI (Blackberry)

Cynet