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Market Research Report

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

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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
Published: May 14, 2019 Content info: 230 Pages
Description

"AI in cybersecurity to grow at CAGR of 23.3% from 2019 to 2026"

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, 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.

Breakdown of primary participants' profile:

  • By Company Type: Tier 1 = 30%, Tier 2 = 30%, and Tier 3 = 40%
  • By Designation: C-Level Executives = 45%, Directors = 30%, and Others = 25%
  • By Region: North America = 30%, Europe = 40%, APAC = 25%, and RoW = 5%

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.

Research Coverage:

Offering, deployement type, security type, technology, application, end user, and geography are the segments covered in this report. It also gives a detailed view of the market across 4 main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the AI in cybersecurity market in terms of offering, deployement type, security type, technology, application, end user and region, along with their respective market sizes.
  • Major drivers, restraints, opportunities, and challenges for the AI in cybersecurity market have been provided in detail in this report.
  • The report includes illustrative segmentation, analysis, and forecast for the AI in cybersecurity market based on its segments and subsegments.
Table of Contents
Product Code: SE 5851

TABLE OF CONTENTS

1. INTRODUCTION

  • 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

  • 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

4. PREMIUM INSIGHTS

  • 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

  • 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

  • 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

  • 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
      • 9.2.1.1. 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

  • 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

  • 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

  • 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

  • 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 (Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*

  • 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

*Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.

15. APPENDIX

  • 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

  • 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

  • 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
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