DUBLIN–(BUSINESS WIRE)–The “Global Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User and Geography – Forecast to 2028” report has been added to ResearchAndMarkets.com’s offering.

The artificial intelligence in cybersecurity market size is valued at USD 22.4 Billion in 2023 and is anticipated to be USD 60.6 Billion by 2028; growing at a CAGR of 21.9% from 2023 to 2028. The Driving Factors can be attributed to increasing instances of cyber threat, increasing vulnerability of Wi-Fi networks to the security threats, growing adoption of IoT and increasing number of connected devices among others.

Rising concerns of data protection

Data protection directives play an essential role in addressing rising concerns over the privacy of an individual’s data. The constantly changing threat landscape has given rise to a large number of government regulations globally, which need to be strictly adhered by enterprises across the world. Enterprises are required to meet the mandatory security standards, failing which, severe fine is to be paid to the government. An enterprise data breach or data leakage causes huge data loss to organizations and hamper the brand image of companies. Recently, the Bank of Spain witnessed DDoS attacks, which resulted in sporadic disruptions of the company’s website services. The regulatory compliances provide a guideline to implement the best practices and mitigate security risks. The various regulatory compliances include Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Federal Information Security Management Act (FISMA), Federal Trade Commission (FTC), Gramm-Leach-Bliley Act (GLBA), European Union Agency for Network and Information Security (ENISA), GDPR, and Sarbanes-Oxley Act (SOX). The compliances help SMEs and large enterprises across various industries to adopt the best practices and maintain robust cybersecurity.

The federal regulations that govern the development and implementation of policies, standards, and guidelines for data security focus on specific industries, such as the financial and healthcare that are governed by the HIPAA and GLBA, respectively. The FTC regulates corporate cybersecurity practices, which involves preventing enterprises from inadequate security practices that fall under unfair trade practices regulation. European GDPR is a revolutionary regulation that governs data privacy laws across Europe. Furthermore, the PCI DSS standard safeguards the cardholder from fraudulent activities and financial thefts. The other important regulations include FISMA and SOX that ensure and govern data privacy and data security.

Increasing vulnerability of Wi-Fi networks to security threats

In Wi-Fi networks, a hacker can position himself between the user and the connection point. Instead of connecting directly with the hotspot, the user sends information to the hacker, who then relays it. Free Wi-Fi hotspots require no authentication to establish a network connection, thus making them easy targets. Hackers can also use an unsecured Wi-Fi connection to distribute malware. If a user allows file-sharing across a network, the hacker can easily plant infected software on his computer. A few ingenious hackers have even managed to hack the connection point itself, causing a pop-up window to appear during the connection process offering an upgrade to a piece of popular software; clicking the window installs the malware. As mobile Wi-Fi becomes increasingly common, one can expect Internet security issues and public Wi-Fi risks to grow over time.

Most Wi-Fi connections use the WPA2 security protocol. Malicious attacks can be used to steal sensitive information, such as credit card numbers, passwords, chat messages, emails, and photos. Attackers can also inject some ransomware or malware into the website. The vulnerability affects a number of operating systems and devices, including Android, Linux, Apple, Windows, OpenBSD, MediaTek, Linksys, and others. Traditional cybersecurity methods are not very efficient in handling the attacks on Wi-Fi networks, and this drawback of traditional cybersecurity methods is driving the need for AI in cybersecurity.

APAC is the fastest-growing region in the artificial intelligence in cybersecurity market

Asia Pacific is projected to be a high-growth market for artificial intelligence in cybersecurity during the forecast period. SMEs and large enterprises in this region are rapidly adopting cybersecurity solutions to ensure security of their networks, web, and mobile applications. High adoption of advanced technologies, such as IoT, big data analytics, and cloud computing, and rising concerns about data security in the region are expected to drive the growth of the AI in cybersecurity market in APAC.

Market Dynamics


  • Growing Adoption of IoT and Increasing Number of Connected Devices
  • Increasing Instances of Cyber Threats
  • Rising Concerns of Data Protection
  • Increasing Vulnerability of Wi-Fi Networks to Security Threats


  • Inability of AI to Stop Zero-Day and Advanced Threats
  • Rise in Insider Cyber Threats


  • Growing Need for Cloud-Based Security Solutions Among SMEs
  • Increasing Use of Social Media for Business Functions


  • Limited Number of Cybersecurity and AI Professionals
  • Lack of Interoperability with Existing Information Systems

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview

6 Artificial Intelligence in Cybersecurity Market, by Offering

6.1 Introduction

6.2 Hardware

6.2.1 Processors

6.2.2 Memory

6.2.3 Network

6.3 Software

6.3.1 AI Solutions

6.3.2 AI Platform Application Program Interface (API) Machine Learning Framework

6.4 Services

6.4.1 Deployment & Integration

6.4.2 Support & Maintenance

7 Artificial Intelligence in Cybersecurity Market, by Deployment Type

7.1 Introduction

7.2 Cloud

7.3 On-Premise

8 Artificial Intelligence in Cybersecurity Market, by Security Type

8.1 Introduction

8.2 Network Security

8.3 Endpoint Security

8.4 Application Security

8.5 Cloud Security

9 Artificial Intelligence in Cybersecurity Market, by Technology

9.1 Introduction

9.2 Machine Learning

9.2.1 Deep Learning

9.2.2 Supervised Learning

9.2.3 Unsupervised Learning

9.2.4 Reinforcement Learning

9.2.5 Others

9.3 Natural Language Processing (NLP)

9.4 Context-Aware Computing

10 Artificial Intelligence in Cybersecurity Market, by Application

10.1 Introduction

10.2 Identity and Access Management

10.3 Risk and Compliance Management

10.4 Data Loss Prevention

10.5 Unified Threat Management

10.6 Security and Vulnerability Management

10.7 Antivirus/Antimalware

10.8 Fraud Detection/Anti-Fraud

10.9 Intrusion Detection/Prevention System

10.10 Threat Intelligence

10.11 Others

11 Artificial Intelligence in Cybersecurity Market, by End-user

11.1 Introduction

11.2 BFSI

11.3 Retail

11.4 Government & Defense

11.5 Manufacturing

11.6 Infrastructure

11.7 Enterprise

11.8 Healthcare

11.9 Automotive & Transportation

11.10 Other

12 Geographic Analysis

13 Competitive Landscape

14 Company Profiles

Companies Mentioned

  • Nvidia
  • Intel
  • Xilinx
  • Samsung Electronics
  • Micron Technology
  • IBM
  • AWS
  • Microsoft
  • Palo Alto Network
  • FireEye
  • Symantec
  • 14.2 Other Players
  • Cylance
  • ThreatMetrix
  • Securonix
  • Sift Science
  • Acalvio Technologies
  • Darktrace
  • SparkCognition
  • Fortinet
  • Check Point Software Technologies
  • High-Tech Bridge
  • Deep Instinct
  • SentinelOne
  • Feedzai
  • Vectra Networks
  • Zimperium
  • Fortscale
  • Argus Cyber Security
  • Nozomi Networks
  • Indegy
  • Bitsight Technologies
  • McAfee
  • Kaspersky Lab
  • Bitdefender
  • ESET

For more information about this report visit https://www.researchandmarkets.com/r/lfasen

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