The AI in cybersecurity market is projected to reach USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%.
Major drivers for the market's growth are growing adoption of IoT and increasing number of connected devices, rising instances of cyber threat, growing concerns of data protection, and increasing vulnerability of Wi-Fi networks to security threats. Furthermore, underlying opportunities for the AI in cybersecurity market include growing need for cloud-based security solutions among SMEs and increased use of social media for business functions.
Major restraints for the market are the inability of AI to stop zero-day and advanced threats, and rise in insider cyber threats. Limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in cybersecurity market.
Software segment to hold largest share of AI in cybersecurity market during forecast period
Software holds a major share of the overall AI in cybersecurity market owing to developments in AI software and related software development kits. AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize the applications for cybersecurity.
The software platforms and solutions are available at higher costs as there are only a limited number of experts that develop machine learning algorithms. Companies such as Darktrace (UK), Cylance (US), Securonix (US), and IBM (US) are among the frontrunners in the development of software for the AI in cybersecurity market.
Among all applications, the market for risk and compliance to hold largest share of AI in cybersecurity market from 2019 to 2026
Risk and compliance is the major application in the AI in cybersecurity market and is, therefore, expected to hold large market share during the forecast period. With the latest development of AI-enabled risk and compliance management solution, along with its higher adoption rate among end users, the deployment of this solution has become an integral part of companies to manage their performance effectively. It allows organizations to achieve their desired goals by automating workflows while complying with policy guidelines and government regulations, thereby reducing financial risks as well as safeguarding the company's brand image.
The AI in cybersecurity market in APAC to grow at highest CAGR during forecast period.
APAC is expected to be the largest AI in cybersecurity market during the forecast period. This market is further divided into China, Japan, South Korea, India, and the Rest of APAC. The Rest of APAC includes Singapore, Malaysia, Thailand, Australia, and New Zealand. China is the largest market among all APAC countries.
China, Japan, South Korea, and India are witnessing growth in the AI in cybersecurity and its start-ups. 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.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights
5 Market Overview 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 126.96.36.199 Growing Adoption of IoT and Increasing Number of Connected Devices 188.8.131.52 Increasing Instances of Cyber Threats 184.108.40.206 Rising Concerns of Data Protection 220.127.116.11 Increasing Vulnerability of Wi-Fi Networks to Security Threats 5.2.2 Restraints 18.104.22.168 Inability of AI to Stop Zero-Day and Advanced Threats 22.214.171.124 Rise in Insider Cyber Threats 5.2.3 Opportunities 126.96.36.199 Growing Need for Cloud-Based Security Solutions Among SMEs 188.8.131.52 Increasing Use of Social Media for Business Functions 5.2.4 Challenges 184.108.40.206 Limited Number of Cybersecurity and AI Professionals 220.127.116.11 Lack of Interoperability With Existing Information Systems 5.3 Regulatory Implications 5.3.1 General Data Protection Regulation 5.3.2 Payment Card Industry Data Security Standard 5.3.3 Health Insurance Portability and Accountability Act 5.3.4 Federal Information Security Management Act 5.3.5 Gramm-Leach-Bliley Act 5.3.6 Sarbanes-Oxley Act 5.3.7 International Organization for Standardization 27001
6 Artificial Intelligence in Cybersecurity Market, By Offering 6.1 Introduction 6.2 Hardware 6.2.1 Processors 18.104.22.168 Mpu 22.214.171.124 GPU 126.96.36.199.1 GPU Expected to Grow at the Highest Rate for AI in Cybersecurity 188.8.131.52 Fpga 184.108.40.206 Asic 6.2.2 Memory 220.127.116.11 Memory to Grow at The Fastest Rate for AI in Cybersecurity 6.2.3 Network 6.3 Software 6.3.1 AI Solutions 18.104.22.168 AI-Based Solutions Hold the Largest Market Share 6.3.2 AI Platform 22.214.171.124 Application Program Interface (API) 126.96.36.199 Machine Learning Framework 188.8.131.52.1 Machine Learning Framework Expected to Grow at A Higher Rate 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 7.2.1 Cost-Effectiveness of Cloud-Based Solutions is Driving Its Adoption 7.3 On-Premise 7.3.1 AI-Based Cybersecurity Solution for On-Premise Enable Organizations to Control Platforms, Applications, Systems, and Data
8 Artificial Intelligence in Cybersecurity Market, By Security Type 8.1 Introduction 8.2 Network Security 8.2.1 Helps to Protect Data From Numerous Threats, Including SQL Injection, DDoS Attack, and Cross-Site Scripting Attacks 8.3 Endpoint Security 8.3.1 Endpoint Security Expected to Be the Major Contributors of AI in Cybersecurity Market 8.4 Application Security 8.4.1 Application Security Expected to Grow at Fastest Rate 8.5 Cloud Security 8.5.1 Cloud Security Solution Provides Complete Threat Protection Against Ransomware, Internal Email Risks, and File Sharing Risks Drive Growth in This Segment
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 10.2.1 Increasing Threat of Data Breaches Due to Insider Attacks is Encouraging Organizations Leads to Adopt Iam Solution 10.3 Risk and Compliance Management 10.3.1 Risk and Compliance Management Expected to Be A Major Contributor to AI Cybersecurity Market 10.4 Data Loss Prevention 10.4.1 Data Loss Prevention Expected to Grow at the Highest Rate 10.5 Unified Threat Management 10.6 Security and Vulnerability Management 10.7 Antivirus/Antimalware 10.7.1 for Endpoint Security Antivirus Expected to Be A Major Contributor 10.8 Fraud Detection/Anti-Fraud 10.9 Intrusion Detection/Prevention System 10.10 Threat Intelligence 10.10.1 Predict Cyber Threats in Advance is the Major Advantage to Drive the Growth of the Threat Intelligence Segment 10.11 Others
11 Artificial Intelligence in Cybersecurity Market, By End User 11.1 Introduction 11.2 BFSI 11.2.1 Increased Instances of Cyber-Attacks in the Financial Vertical Driving the Adoption of AI in Cybersecurity 11.3 Retail 11.3.1 Increasing Adoption of AI in Cybersecurity Due to Expanding Customer Base and Growing Use of High-Tech 11.4 Government & Defense 11.4.1 Increased Spending on AI-Based Cybersecurity Solutions is Expected to Drive the Growth of the Market 11.5 Manufacturing 11.5.1 Huge Investments in Industry for Automation Driving the Market for AI in Cybersecurity 11.6 Infrastructure 11.6.1 Major Focus on Smart Infrastructure Increasing the Adoption of AI in Cybersecurity 11.7 Enterprise 11.7.1 Rapid Technological Advancements in IoT, Cloud, Telecom Connectivity Driving the Demand for AI in Cybersecurity 11.8 Healthcare 11.8.1 Increasing Number of Data Breaches and Compromised Electronic Healthcare Records Driving the Demand for AI in Cybersecurity 11.9 Automotive & Transportation 11.9.1 Increasing Cyberattacks Due to Rising Number of Connected and Autonomous Cars is Driving the Market for AI in Cybersecurity 11.10 Other
12 Geographic Analysis
13 Competitive Landscape 13.1 Overview 13.2 Ranking Analysis of Key Players 13.3 Competitive Situations and Trends 13.4 Competitive Leadership Mapping