Artificial Intelligence in Cybersecurity Market

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- Global Forecast to 2026

Report Code: SE 5851 May, 2019, by marketsandmarkets.com

[229 Pages Report] The artificial intelligence 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 pr, 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.

Artificial Intelligence in Security Market

Based on end user, enterprise to hold largest market share of AI in cybersecurity during forecast period

To ensure the safety of critical infrastructure and technological innovations, enterprises are increasing their cybersecurity budgets significantly, aligning business strategies with cybersecurity plans, and creating cyber awareness programs for employees and customers. Also, various programs, such as Global Information Society Project Program on Telecommunication Policy, and strict telecom and regulatory policies have been introduced to regulate telecom and IT cyber threats.

Software for AI in cybersecurity to grow faster in coming 5 years than hardware and services

The AI in cybersecurity market for software is expected to grow at the highest CAGR during the forecast period. 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.

Artificial Intelligence in Security Market

North America to account for largest market size during forecast period

North America is among the major contributors to the AI in cybersecurity market, and the US accounted for the largest share of the market in North America in 2018. The global AI in cybersecurity market is dominated by North America as the region is an early adopter of AI. North America is an early adopter of innovative technologies as banks, government agencies, and financial institutes in this region face ever-increasing challenges related to cyber threats. Therefore, advanced technologies are implemented to manage the cybersecurity landscape. Moreover, several cybersecurity vendors are based in this region, thereby contributing to the growth of the AI in cybersecurity market in North America.

Key Market Players

NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Darktrace (UK), Cylance Inc. (US), Vectra AI, Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), SparkCognition Inc. (US), Palo Alto Networks Inc. (US), and Symantec Corporation (US) are a few major players in the AI in cybersecurity market

Recent Developments

  • NVIDIA announced the Jetson Nano, an AI computer that makes it possible to create millions of intelligent systems. The small but powerful CUDA-X AI computer delivers 472 GFLOPS of compute performance for running modern AI workloads and is highly power-efficient, consuming as little as 5 watts.
  • Cylance announced the Cylance native AI platform, which delivers a full suite of security solutions through a single, agile agent for comprehensive attack surface protection with deep-learning Al algorithms in its DNA to support automated threat detection, prevention, forensic investigation, and response capabilities to customers worldwide.
  • Darktrace announced a partnership that combines Darktrace’s cyber AI with Endace’s unparalleled forensic capabilities. This combined solution empowers organizations to discover in-progress attacks anywhere on the digital infrastructure with Darktrace’s AI, and investigate them with industry-leading speed, scale, and accuracy using Endace’s packet-level network history.
  • Symantec announced new data loss prevention capabilities that make it easier for customers to protect confidential data from malicious, data-stealing apps, and help meet regulatory compliance requirements. Integration of Symantec data loss prevention and endpoint protection helps customers stop fake apps and malware from leaking sensitive information.
  • Cylance, a privately held artificial intelligence and cybersecurity company based in Irvine, California, acquired by BlackBerry Limited (Canada). Cylance’s machine learning and artificial intelligence technology is a strategic addition to BlackBerry’s end-to-end secure communications portfolio. Notably, its embeddable AI technology accelerates the development of BlackBerry Spark, the secure communications platform for the Internet of Things (IoT) in the coming years.

Critical questions the report answers:

  • Where will all these developments take the industry in the mid to long term?
  • Which are the upcoming industries that expected to adopt AI in cybersecurity?
  • How is AI in cybersecurity influencing the automotive market?
  • How are the companies addressing the challenge of hardware and software integration for AI in cybersecurity market?
  • How are companies tackling with the increasing number of connected devices that result in increasing cyberattacks?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 21)
    1.1 Study Objectives
    1.2 Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 25)
    2.1 Research Data
           2.1.1 Secondary and Primary Research
                    2.1.1.1 Key Industry Insights
           2.1.2 Secondary Data
                    2.1.2.1 List of Major Secondary Sources
                    2.1.2.2 Secondary Sources
           2.1.3 Primary Data
                    2.1.3.1 Breakdown of Primaries
                    2.1.3.2 Primary Sources
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 36)

4 Premium Insights (Page No. - 40)
    4.1 Attractive Opportunities in Artificial Intelligence in Cybersecurity Market
    4.2 Artificial Intelligence in Cybersecurity Market, By Technology
    4.3 Artificial Intelligence in Cybersecurity Market, By Application
    4.4 Artificial Intelligence in Cybersecurity Market in APAC, By Application and Country
    4.5 Artificial Intelligence in Cybersecurity Market, By Geography

5 Market Overview (Page No. - 44)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Adoption of IoT and Increasing Number of Connected Devices
                    5.2.1.2 Increasing Instances of Cyber Threats
                    5.2.1.3 Rising Concerns of Data Protection
                    5.2.1.4 Increasing Vulnerability of Wi-Fi Networks to Security Threats
           5.2.2 Restraints
                    5.2.2.1 Inability of AI to Stop Zero-Day and Advanced Threats
                    5.2.2.2 Rise in Insider Cyber Threats
           5.2.3 Opportunities
                    5.2.3.1 Growing Need for Cloud-Based Security Solutions Among SMEs
                    5.2.3.2 Increasing Use of Social Media for Business Functions
           5.2.4 Challenges
                    5.2.4.1 Limited Number of Cybersecurity and AI Professionals
                    5.2.4.2 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 (Page No. - 52)
    6.1 Introduction
    6.2 Hardware
           6.2.1 Processors
                    6.2.1.1 Mpu
                               6.2.1.1.1 Mpu to Hold Largest Share of AI in Cybersecurity Market for Processors
                    6.2.1.2 Gpu
                               6.2.1.2.1 Gpu Expected to Grow at Highest Rate for AI in Cybersecurity
                    6.2.1.3 Fpga
                               6.2.1.3.1 Advantages Such as Rapid Prototyping, Shorter Time-To-Market, Reprogram Ability, and Longevity to Drive Growth in This Segment
                    6.2.1.4 Asic
                               6.2.1.4.1 High Affordability and Improved Performance are Key Advantages of Asic
           6.2.2 Memory
                    6.2.2.1 Memory to Grow at A Fastest Rate for AI in Cybersecurity
           6.2.3 Network
                    6.2.3.1 AI Based Networks Can Provide Faster, More Accurate Ways for Customers to Explore Products
    6.3 Software
           6.3.1 AI Solutions
                    6.3.1.1 AI Based Solutions Hold the Largest Market Share
           6.3.2 AI Platform
                    6.3.2.1 Application Program Interface (Api)
                               6.3.2.1.1 an Api Provides A Platform for A Set of Routines and Tools for Building Software Applications
                    6.3.2.2 Machine Learning Framework
                               6.3.2.2.1 Machine Learning Framework Expected to Grow at A Higher Rate
    6.4 Services
           6.4.1 Deployment & Integration
                    6.4.1.1 Deployment and Integration is A Key Service Required for Configuring AI Systems
           6.4.2 Support & Maintenance
                    6.4.2.1 Need for Regular Assistance During the Lifecycle of Solution Helps to Grow This Market

7 Artificial Intelligence in Cybersecurity Market, By Deployment Type (Page No. - 62)
    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 (Page No. - 66)
    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 (Page No. - 73)
    9.1 Introduction
    9.2 Machine Learning
           9.2.1 Deep Learning
                    9.2.1.1 Deep Learning Expected to Be A Major Contributor for AI in Cybersecurity
           9.2.2 Supervised Learning
                    9.2.2.1 Classification and Regression are Major Segmentation of Supervised Learning
           9.2.3 Unsupervised Learning
                    9.2.3.1 Unsupervised Learning Include Clustering Methods Consisting of Algorithms With Unlabeled Training Data
           9.2.4 Reinforcement Learning
                    9.2.4.1 Reinforcement Learning Allows Systems and Software to Determine Ideal Behavior for Maximizing Performance of the Systems
           9.2.5 Others
    9.3 Natural Language Processing (NLP)
           9.3.1 Natural Language Processing is Developed for Making Real-Time Translation and Developing Systems That Can Interact Through Dialogues
    9.4 Context-Aware Computing
           9.4.1 Development of More Sophisticated Hard and Soft Sensors has Accelerated the Growth of Context-Aware Computing

10 Artificial Intelligence in Cybersecurity Market, By Application (Page No. - 82)
     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 of 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
             10.5.1 Provides Multiple Security Functions to Protect Enterprises From Evolving Cyber Threats is the Key Advantage of Utm Promoting Market Growth
     10.6 Security and Vulnerability Management
             10.6.1 Rapid Growth in Cybercrimes is Fueling the Adoption of This Solutions Among Global Enterprises
     10.7 Antivirus/Antimalware
             10.7.1 for Endpoint Security Antivirus Expected to Be A Major Contributor
     10.8 Fraud Detection/Anti-Fraud
             10.8.1 Need for A Robust Infrastructure With High-Performance Computing and Scalability Required to Identify Fraud in Real Time to Drive the Growth of the Fraud Detection
     10.9 Intrusion Detection/Prevention System
             10.9.1 Monitors the Network Across Enterprises for Suspicious Activity and Provides an Alert When Such an Activity is Discovered- Key Factor Driving Growth
     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 (Page No. - 95)
     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 are Driving the Market for AI in Cybersecurity
     11.10 Other

12 Geographic Analysis (Page No. - 107)
     12.1 Introduction
     12.2 North America
             12.2.1 US
                        12.2.1.1 US Expected to Hold the Largest Market for AI in Cybersecurity
             12.2.2 Canada
                        12.2.2.1 Investment in Modern Technologies Helps to Drive the Market
             12.2.3 Mexico
                        12.2.3.1 Increasing Connectivity Drive the Market of AI
     12.3 Europe
             12.3.1 Germany
                        12.3.1.1 Increasing Number of Ransomware, Spyware, and Reconnaissance Drive the Adoption of AI in Cybersecurity
             12.3.2 UK
                        12.3.2.1 IT and Telecom and Financial Sector to Be Top Verticals Under Constant Threat From Attackers
             12.3.3 France
                        12.3.3.1 Increasing Adoption of AI Cybersecurity Majorly in BFSI, Government, and Retail
             12.3.4 Italy
                        12.3.4.1 Rising Spread of Cloud Computing, Social Media, Wireless Connectivity, E-Commerce, and Big Data Impacting the Market
             12.3.5 Spain
                        12.3.5.1 Private and Public Sector Companies are Taking Initiatives to Adopt AI in Cybersecurity
             12.3.6 Rest of Europe
     12.4 APAC
             12.4.1 China
                        12.4.1.1 Increased Instances of Attacks From Virus, Worms, Spyware, Trojan, and Ransomware on Enterprises and Government Organizations to Impact AI in Cybersecurity Market Growth
             12.4.2 Japan
                        12.4.2.1 Major Adoption of AI in Cybersecurity Because of Highly Connected and Digitally Dependent Country
             12.4.3 South Korea
                        12.4.3.1 Government Initiatives Drive the Market
             12.4.4 India
                        12.4.4.1 SMEs and Large Enterprises in India are Continuously Adopting Innovative Technologies to Improve Their Productivity
             12.4.5 Rest of APAC
     12.5 RoW
             12.5.1 Middle East and Africa
                        12.5.1.1 Need to Protect the Critical Infrastructure, Industrial Assets, and Growing Trend of Iiot to Impact High Growth in the Market
             12.5.2 South America
                        12.5.2.1 Service Specific Attacks, Malware, Phishing, Ddos, and Reconnaissance to Be Major Threat Vectors Which has Forced Enterprises to Increase Adoption of AI Based Cybersecurity Solutions

13 Competitive Landscape (Page No. - 126)
     13.1 Overview
     13.2 Ranking Analysis of Key Players
     13.3 Competitive Situations and Trends
             13.3.1 Product Launches
             13.3.2 Agreements, Partnerships, Collaborations, & Contracts
             13.3.3 Expansions
             13.3.4 Acquisitions
     13.4 Competitive Leadership Mapping
             13.4.1 Visionary Leaders
             13.4.2 Dynamic Differentiators
             13.4.3 Innovators
             13.4.4 Emerging Companies

14 Company Profiles (Page No. - 138)
     14.1 Key Players
             14.1.1 NVIDIA
             14.1.2 Intel
             14.1.3 Xilinx
             14.1.4 Samsung Electronics
             14.1.5 Micron Technology
             14.1.6 IBM
             14.1.7 AWS
             14.1.8 Darktrace
             14.1.9 Cylance
             14.1.10 Vectra AI
             14.1.11 ThreatMetrix
             14.1.12 Securonix
             14.1.13 Sift Science
             14.1.14 Acalvio Technologies
             14.1.15 Sparkcongnition
             14.1.16 Palo Alto Network
             14.1.17 Fireeye
             14.1.18 Symantec
             14.1.19 Fortinet
             14.1.20 Check Point Software Technologies
             14.1.21 Immuniweb
     14.2 Other Important Players
             14.2.1 Deep Instinct
             14.2.2 Sentinelone
             14.2.3 Feedzai
             14.2.4 Zimperium
             14.2.5 Fortscale
             14.2.6 Argus Cyber Security
             14.2.7 Nozomi Networks
             14.2.8 Indegy
             14.2.9 Bitsight Technologies
     14.3 Antivirus Companies
             14.3.1 Mcafee
             14.3.2 Kaspersky Lab
             14.3.3 Bitdefender
             14.3.4 Eset

15 Appendix (Page No. - 220)
     15.1 Insights From Industry Experts
     15.2 Discussion Guide
     15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.4 Available Customizations
     15.5 Related Reports
     15.6 Author Details


List of Tables (68 Tables)

Table 1 Artificial Intelligence in Cybersecurity Market, By Offering, 2017–2026 (USD Million)
Table 2 Artificial Intelligence in Cybersecurity Market for Hardware, By Region, 2017–2026 (USD Million)
Table 3 Artificial Intelligence in Cybersecurity Market, By Hardware, 2017–2026 (USD Million)
Table 4 Artificial Intelligence in Cybersecurity Market for Processors, By Type, 2017–2026 (USD Million)
Table 5 Artificial Intelligence in Cybersecurity Market for Software, By Region, 2017–2026 (USD Million)
Table 6 Artificial Intelligence in Cybersecurity Market for Software, By Type, 2017–2026 (USD Million)
Table 7 Artificial Intelligence in Cybersecurity Market for AI Platform, By Type, 2017–2026 (USD Million)
Table 8 Artificial Intelligence in Cybersecurity Market for Services, By Region, 2017–2026 (USD Million)
Table 9 Artificial Intelligence in Cybersecurity Market for Services, By Type, 2017–2026 (USD Million)
Table 10 Artificial Intelligence in Cybersecurity Market, By Deployment Type, 2017–2026 (USD Million)
Table 11 Artificial Intelligence in Cybersecurity Market for Cloud, By Region, 2017–2026 (USD Million)
Table 12 Artificial Intelligence in Cybersecurity Market for On-Premise, By Region, 2017–2026 (USD Million)
Table 13 Artificial Intelligence in Cybersecurity Market, By Security Type, 2017–2026 (USD Million)
Table 14 Artificial Intelligence in Cybersecurity Market for Network Security, By Region, 2017–2026 (USD Million)
Table 15 Artificial Intelligence in Cybersecurity Market for Endpoint Security, By Region, 2017–2026 (USD Million)
Table 16 Artificial Intelligence in Cybersecurity Market for Application Security, By Region, 2017–2026 (USD Million)
Table 17 Artificial Intelligence in Cybersecurity Market for Cloud Security, By Region, 2017–2026 (USD Million)
Table 18 Artificial Intelligence in Cybersecurity Market, By Technology, 2017–2026 (USD Million)
Table 19 Artificial Intelligence in Cybersecurity Market for Machine Learning, By Region, 2017–2026 (USD Million)
Table 20 Artificial Intelligence in Cybersecurity Market for Machine Learning, By Type, 2017–2026 (USD Million)
Table 21 Artificial Intelligence in Cybersecurity Market for Natural Language Processing (NLP), By Region, 2017–2026 (USD Million)
Table 22 Artificial Intelligence in Cybersecurity Market for Natural Language Processing (NLP), By Process, 2017–2026 (USD Million)
Table 23 Artificial Intelligence in Cybersecurity Market for Context-Aware Computing, By Region, 2017–2026 (USD Million)
Table 24 Artificial Intelligence in Cybersecurity Market for Context-Aware Computing, By Process, 2017–2026 (USD Million)
Table 25 Artificial Intelligence in Cybersecurity Market, By Application, 2017–2026 (USD Million)
Table 26 Artificial Intelligence in Cybersecurity Market for Identity and Access Management, By Region, 2017–2026 (USD Million)
Table 27 Artificial Intelligence in Cybersecurity Market for Risk and Compliance Management, By Region, 2017–2026 (USD Million)
Table 28 Artificial Intelligence in Cybersecurity Market for Data Loss Prevention, By Region, 2017–2026 (USD Million)
Table 29 Artificial Intelligence in Cybersecurity Market for Unified Threat Management, By Region, 2017–2026 (USD Million)
Table 30 Artificial Intelligence in Cybersecurity Market for Security and Vulnerability Management, By Region, 2017–2026 (USD Million)
Table 31 Artificial Intelligence in Cybersecurity Market for Antivirus/Antimalware, By Region, 2017–2026 (USD Million)
Table 32 Artificial Intelligence in Cybersecurity Market for Fraud Detection/ Anti-Fraud, By Region, 2017–2026 (USD Million)
Table 33 Artificial Intelligence in Cybersecurity Market for Intrusion Detection/Prevention System, By Region, 2017–2026 (USD Million)
Table 34 Artificial Intelligence in Cybersecurity Market for Threat Intelligence, By Region, 2017–2026 (USD Million)
Table 35 Artificial Intelligence in Cybersecurity Market for Others, By Region, 2017–2026 (USD Million)
Table 36 Artificial Intelligence in Cybersecurity Market, By End User, 2017–2026 (USD Million)
Table 37 Artificial Intelligence in Cybersecurity Market for BFSI, By Region, 2017–2026 (USD Million)
Table 38 Artificial Intelligence in Cybersecurity Market for Retail, By Region, 2017–2026 (USD Million)
Table 39 Artificial Intelligence in Cybersecurity Market for Government & Defense, By Region, 2017–2026 (USD Million)
Table 40 Artificial Intelligence in Cybersecurity Market for Manufacturing, By Region, 2017–2026 (USD Million)
Table 41 Artificial Intelligence in Cybersecurity Market for Infrastructure, By Region, 2017–2026 (USD Million)
Table 42 Artificial Intelligence in Cybersecurity Market for Enterprise, By Region, 2017–2026 (USD Million)
Table 43 Artificial Intelligence in Cybersecurity Market for Healthcare, By Region, 2017–2026 (USD Million)
Table 44 Artificial Intelligence in Cybersecurity Market for Automotive & Transportation, By Region, 2017–2026 (USD Million)
Table 45 Artificial Intelligence in Cybersecurity Market for Others, By Region, 2017–2026 (USD Million)
Table 46 Artificial Intelligence in Cybersecurity Market, By Region, 2017–2026 (USD Million)
Table 47 Artificial Intelligence in Cybersecurity Market in North America, By Deployment Type, 2017–2026 (USD Million)
Table 48 Artificial Intelligence in Cybersecurity Market in North America, By Security Type, 2017–2026 (USD Million)
Table 49 Artificial Intelligence in Cybersecurity Market in North America, By Application, 2017–2026 (USD Million)
Table 50 Artificial Intelligence in Cybersecurity Market in North America, By Country, 2017–2026 (USD Million)
Table 51 Artificial Intelligence in Cybersecurity Market in Europe, By Deployment Type, 2017–2026 (USD Million)
Table 52 Artificial Intelligence in Cybersecurity Market in Europe, By Security Type, 2017–2026 (USD Million)
Table 53 Artificial Intelligence in Cybersecurity Market in Europe, By Application, 2017–2026 (USD Million)
Table 54 Artificial Intelligence in Cybersecurity Market in Europe, By Country, 2017–2026 (USD Million)
Table 55 Artificial Intelligence in Cybersecurity Market in APAC, By Deployment Type, 2017–2026 (USD Million)
Table 56 Artificial Intelligence in Cybersecurity Market in APAC, By Security Type, 2017–2026 (USD Million)
Table 57 Artificial Intelligence in Cybersecurity Market in APAC, By Application, 2017–2026 (USD Million)
Table 58 Artificial Intelligence in Cybersecurity Market in APAC, By Country, 2017–2026 (USD Million)
Table 59 Artificial Intelligence in Cybersecurity Market in RoW, By Deployment Type, 2017–2026 (USD Million)
Table 60 Artificial Intelligence in Cybersecurity Market in RoW, By Security Type, 2017–2026 (USD Million)
Table 61 Artificial Intelligence in Cybersecurity Market in RoW, By Application, 2017–2026 (USD Million)
Table 62 Artificial Intelligence in Cybersecurity Market in RoW, By Region, 2017–2026 (USD Million)
Table 63 Artificial Intelligence in Cybersecurity Market: Ranking Analysis of Key Companies for Hardware
Table 64 Artificial Intelligence in Cybersecurity Market: Ranking Analysis of Key Companies for Software
Table 65 Product Launches, 2017–2019
Table 66 Agreements, Partnerships, Collaborations, and Contracts, 2017–2019
Table 67 Expansions, 2017–2019
Table 68 Acquisitions, 2018–2019


List of Figures (46 Figures)

Figure 1 Research Design
Figure 2 Process Flow of Market Size Estimation
Figure 3 Bottom-Up Approach
Figure 4 Top-Down Approach
Figure 5 Data Triangulation
Figure 6 Software to Hold Largest Market Share of Artificial Intelligence in Cybersecurity Market During 2019–2026
Figure 7 Artificial Intelligence in Cybersecurity Market for Cloud-Based Deployment Type to Grow at Higher CAGR During 2019–2026
Figure 8 Artificial Intelligence in Cybersecurity Market for Application Security Type to Grow at Highest CAGR During 2019–2026
Figure 9 Enterprise to Hold Largest Market Share of Artificial Intelligence in Cybersecurity Market During 2019–2026
Figure 10 North America to Hold Largest Market Share of Artificial Intelligence in Cybersecurity Market During 2019–2026
Figure 11 APAC to Grow at Highest CAGR in Artificial Intelligence in Cybersecurity Market During 2019–2026
Figure 12 Artificial Intelligence in Cybersecurity Market for Machine Learning to Grow at Highest CAGR From 2019 to 2026
Figure 13 Risk and Compliance to Hold Largest Share of Artificial Intelligence in Cybersecurity Market During Forecast Period
Figure 14 China to Hold Largest Share of Artificial Intelligence in Cybersecurity Market in APAC
Figure 15 Artificial Intelligence in Cybersecurity Market in China to Grow at Highest CAGR From 2019 to 2026
Figure 16 Artificial Intelligence in Cybersecurity Market: Drivers, Restraints, Opportunities, and Challenges
Figure 17 Increase in Attacks Against IoT Devices
Figure 18 Rise in Cybercrime (2018-2019)
Figure 19 Software to Dominate AI in Cybersecurity Market During Forecast Period
Figure 20 AI Platform to Grow at Higher CAGR During Forecast Period
Figure 21 Cloud-Based Deployment to Grow at Higher CAGR During Forecast Period
Figure 22 Application Security to Grow at Highest CAGR During Forecast Period
Figure 23 Application Security in APAC to Grow at Highest CAGR During Forecast Period
Figure 24 Machine Learning to Lead AI in Cybersecurity Market During Forecast Period
Figure 25 Classification and Categorization to Grow at Higher CAGR During Forecast Period for NLP
Figure 26 Data Loss Prevention to Grow at Highest CAGR During Forecast Period
Figure 27 Automotive & Transportation to Grow at Highest CAGR During Forecast Period
Figure 28 APAC to Grow at Highest CAGR During Forecast Period for Enterprise
Figure 29 Artificial Intelligence in Cybersecurity Market in APAC to Grow at Highest CAGR From 2019 to 2026
Figure 30 North America: Snapshot of Artificial Intelligence in Cybersecurity Market
Figure 31 Europe: Snapshot of Artificial Intelligence in Cybersecurity Market
Figure 32 APAC: Snapshot of Artificial Intelligence in Cybersecurity Market
Figure 33 Product Launches Key Growth Strategy From 2017 to 2019
Figure 34 Artificial Intelligence in Cybersecurity Market (Global) Competitive Leadership Mapping, 2018
Figure 35 NVIDIA : Company Snapshot
Figure 36 Intel: Company Snapshot
Figure 37 Xilinx: Company Snapshot
Figure 38 Samsung Electronics: Company Snapshot
Figure 39 Micron Technology: Company Snapshot
Figure 40 IBM: Company Snapshot
Figure 41 AWS: Company Snapshot
Figure 42 Palo Alto Network: Company Snapshot
Figure 43 Fireeye: Company Snapshot
Figure 44 Symantec: Company Snapshot
Figure 45 Fortinet: Company Snapshot
Figure 46 Check Point Software Technologies: Company Snapshot

The study involved 4 major activities to estimate the current size of the AI in cybersecurity market. Exhaustive secondary research was done to collect information on the market, including peer market and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

Secondary sources referred to in this research study include corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers, artificial intelligence in cybersecurity-related journals, certified publications, articles from recognized authors; directories; and databases. The secondary data has been collected and analyzed to arrive at the overall market size estimations, which has been further validated by primary research.

Primary Research

In the primary research process, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative information relevant to this report. Extensive primary research has been conducted after understanding and analyzing the artificial intelligence in cybersecurity market through secondary research. Several primary interviews have been conducted with key opinion leaders from both demand- and supply-side vendors across 4 regions: North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW). RoW comprises South America and the Middle East & Africa. Approximately 25% of the primary interviews have been conducted with the demand side and 75% with the supply side. This primary data has been collected mainly through telephonic interviews, which accounted for 80% of the total primary interviews. Besides, questionnaires and emails were also used to collect the data.

Artificial Intelligence in Security Market

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were implemented to estimate and validate the total size of the AI in cybersecurity market. These methods were also used extensively to estimate the size of the markets based on various subsegments. The research methodology used to estimate the market size includes the following steps:

  • The key players in the industry and markets have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from the demand and supply sides across different end-use applications.

Study Objectives

  • To describe and forecast the artificial intelligence in cybersecurity market, in terms of value, by offering, deployment type, security type, technology, application, end user
  • To describe and forecast the artificial intelligence in cybersecurity market, in terms of value, by region—North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
  • To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contribution to the overall artificial intelligence in cybersecurity market
  • To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
  • To analyze competitive developments such as joint ventures, mergers and acquisitions, product developments, and ongoing research and development (R&D) in the artificial intelligence in cybersecurity market
  • To provide the illustrative segmentation, analysis, and projection of the main regional markets

Report Scope

Report Metric

Details

Market size available for years

2019-2026

Base year considered

2018

Forecast period

2019–2026

Forecast units

Value, USD million/billion

Segments covered

Offering, deployment type, security type, technology, application, end user and region

Regions covered

North America, Europe, APAC, and RoW

Companies covered

NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Darktrace (UK), Cylance Inc. (US), Vectra AI, Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), SparkCognition Inc. (US), Palo Alto Networks Inc. (US), and Symantec Corporation (US) are a few major players in the AI in cybersecurity market.

AI in cybersecurity market segmentation:

In this report, the AI in cybersecurity market is segmented into the following categories:

AI in cybersecurity market, by offering:

  • Hardware
  • Software
  • Service

AI in cybersecurity market, by deployment type:

  • Cloud
  • On-Premise

AI in cybersecurity market, by security type:

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security

AI in cybersecurity market, by technology:

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing

AI in cybersecurity market, by application:

  • Identity & Access Management
  • Risk & Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Security & Vulnerability Management
  • Antivirus/Antimalware
  • Fraud Detection/Anti-Fraud
  • Intrusion Detection/Prevention System
  • Threat Intelligence
  • Others (firewall, disaster recovery, DDoS mitigation, web filtering, application whitelisting, and patch management)

AI in cybersecurity market, by end user:

  • BFSI
  • Retail
  • Government & Defense
  • Manufacturing
  • Infrastructure
  • Enterprise
  • Healthcare
  • Automotive & Transportation
  • Others (oil & gas, education, and energy)

AI in cybersecurity market, by region:

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Rest of the World (RoW)

Available Customizations:

With the given market data, MarketsandMarkets offers customizations according to the company's specific needs. The following customization options are available for this report:

  • Company Information: Detailed analysis and profiling of additional 5 market players
  • Country-level break-up for the market based on end-use application and offering
Report Code
SE 5851
Published ON
May, 2019
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