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サイバーセキュリティの人工知能(AI)市場:製品毎(ハードウェア、ソフトウェア、サービス)、採用タイプ毎、セキュリティタイプ毎、技術毎(機械学習、自然言語処理、コンテキストアウェアネス)、用途毎(IAM、DLP、UTM)、エンドユーザ毎、地域毎 - 2026年までの世界市場予測

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

 

出版社 出版日電子媒体価格ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2019年5月 US$ 4,950
シングルユーザライセンス
230p114点

サマリー

幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)のサイバーセキュリティの人工知能(AI)市場に関する調査レポートです。

“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.



目次

1 INTRODUCTION 21
1.1 STUDY OBJECTIVES 21
1.2 DEFINITION 21
1.3 STUDY SCOPE 22
1.3.1 MARKETS COVERED 22
1.3.2 YEARS CONSIDERED 23
1.4 CURRENCY 23
1.5 LIMITATIONS 23
1.6 STAKEHOLDERS 24

2 RESEARCH METHODOLOGY 25
2.1 RESEARCH DATA 25
2.1.1 SECONDARY AND PRIMARY RESEARCH 27
2.1.1.1 Key industry insights 28
2.1.2 SECONDARY DATA 28
2.1.2.1 List of major secondary sources 28
2.1.2.2 Secondary sources 29
2.1.3 PRIMARY DATA 29
2.1.3.1 Breakdown of primaries 30
2.1.3.2 Primary sources 30
2.2 MARKET SIZE ESTIMATION 31
2.2.1 BOTTOM-UP APPROACH 32
2.2.2 TOP-DOWN APPROACH 33
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 34
2.4 RESEARCH ASSUMPTIONS 35

3 EXECUTIVE SUMMARY 36

4 PREMIUM INSIGHTS 40
4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET 40
4.2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY 40
4.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION 41
4.4 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC, BY APPLICATION
AND COUNTRY 42
4.5 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY GEOGRAPHY 43
-
5 MARKET OVERVIEW 44
5.1 INTRODUCTION 44
5.2 MARKET DYNAMICS 44
5.2.1 DRIVERS 45
5.2.1.1 Growing adoption of IoT and increasing number of connected devices 45
5.2.1.2 Increasing instances of cyber threats 45
5.2.1.3 Rising concerns of data protection 46
5.2.1.4 Increasing vulnerability of Wi-Fi networks to security threats 47
5.2.2 RESTRAINTS 47
5.2.2.1 Inability of AI to stop zero-day and advanced threats 47
5.2.2.2 Rise in insider cyber threats 47
5.2.3 OPPORTUNITIES 48
5.2.3.1 Growing need for cloud-based security solutions among SMEs 48
5.2.3.2 Increasing use of social media for business functions 48
5.2.4 CHALLENGES 48
5.2.4.1 Limited number of cybersecurity and AI professionals 48
5.2.4.2 Lack of interoperability with existing information systems 49
5.3 REGULATORY IMPLICATIONS 49
5.3.1 GENERAL DATA PROTECTION REGULATION 49
5.3.2 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD 50
5.3.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 50
5.3.4 FEDERAL INFORMATION SECURITY MANAGEMENT ACT 50
5.3.5 GRAMM-LEACH-BLILEY ACT 50
5.3.6 SARBANES-OXLEY ACT 51
5.3.7 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001 51

6 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING 52
6.1 INTRODUCTION 53
6.2 HARDWARE 54
6.2.1 PROCESSORS 55
6.2.1.1 MPU 55
6.2.1.1.1 MPU to hold largest share of AI in cybersecurity market for processors 55
6.2.1.2 GPU 56
6.2.1.2.1 GPU expected to grow at highest rate for AI in cybersecurity 56
6.2.1.3 FPGA 56
6.2.1.3.1 Advantages such as rapid prototyping, shorter time-to-market, reprogram ability, and longevity to drive growth in this segment 56
6.2.1.4 ASIC 56
6.2.1.4.1 High affordability and improved performance are key advantages of ASIC 56
6.2.2 MEMORY 56
6.2.2.1 Memory to grow at a fastest rate for AI in cybersecurity 56
6.2.3 NETWORK 57
6.2.3.1 AI based networks can provide faster, more accurate ways for customers to explore products 57
6.3 SOFTWARE 57
6.3.1 AI SOLUTIONS 58
6.3.1.1 AI based solutions hold the largest market share 58
6.3.2 AI PLATFORM 59
6.3.2.1 Application Program Interface (API) 59
6.3.2.1.1 An API provides a platform for a set of routines and tools for building software applications 59
6.3.2.2 Machine learning framework 59
6.3.2.2.1 Machine learning framework expected to grow at a higher rate 59
6.4 SERVICES 60
6.4.1 DEPLOYMENT & INTEGRATION 61
6.4.1.1 Deployment and integration is a key service required for configuring AI systems 61
6.4.2 SUPPORT & MAINTENANCE 61
6.4.2.1 Need for regular assistance during the lifecycle of solution helps to grow this market 61

7 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET,
BY DEPLOYMENT TYPE 62
7.1 INTRODUCTION 63
7.2 CLOUD 64
7.2.1 COST-EFFECTIVENESS OF CLOUD-BASED SOLUTIONS IS DRIVING
ITS ADOPTION 64
7.3 ON-PREMISE 65
7.3.1 AI BASED CYBERSECURITY SOLUTION FOR ON-PREMISE ENABLE ORGANIZATIONS TO CONTROL PLATFORMS, APPLICATIONS,
SYSTEMS, AND DATA 65

8 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE 66
8.1 INTRODUCTION 67
8.2 NETWORK SECURITY 68
8.2.1 HELPS TO PROTECT DATA FROM NUMEROUS THREATS, INCLUDING SQL INJECTION, DDOS ATTACK, AND CROSS-SITE SCRIPTING ATTACKS 68
8.3 ENDPOINT SECURITY 69
8.3.1 ENDPOINT SECURITY EXPECTED TO BE THE MAJOR CONTRIBUTORS OF
AI IN CYBERSECURITY MARKET 69
8.4 APPLICATION SECURITY 70
8.4.1 APPLICATION SECURITY EXPECTED TO GROW AT FASTEST RATE 70
8.5 CLOUD SECURITY 71
8.5.1 CLOUD SECURITY SOLUTION PROVIDES COMPLETE THREAT PROTECTION AGAINST RANSOMWARE, INTERNAL EMAIL RISKS, AND FILE SHARING
RISKS DRIVE GROWTH IN THIS SEGMENT 71

9 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY 73
9.1 INTRODUCTION 74
9.2 MACHINE LEARNING 75
9.2.1 DEEP LEARNING 76
9.2.1.1 Deep learning expected to be a major contributor for AI
in cybersecurity 76
9.2.2 SUPERVISED LEARNING 77
9.2.2.1 Classification and regression are major segmentation of supervised learning 77
9.2.3 UNSUPERVISED LEARNING 77
9.2.3.1 Unsupervised learning include clustering methods consisting of algorithms with unlabeled training data 77
9.2.4 REINFORCEMENT LEARNING 77
9.2.4.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of the systems 77
9.2.5 OTHERS 78
9.3 NATURAL LANGUAGE PROCESSING (NLP) 78
9.3.1 NATURAL LANGUAGE PROCESSING IS DEVELOPED FOR MAKING REAL-TIME TRANSLATION AND DEVELOPING SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES 78
9.4 CONTEXT-AWARE COMPUTING 80
9.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED THE GROWTH OF CONTEXT-AWARE COMPUTING 80

10 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION 82
10.1 INTRODUCTION 83
10.2 IDENTITY AND ACCESS MANAGEMENT 84
10.2.1 INCREASING THREAT OF DATA BREACHES DUE TO INSIDER ATTACKS IS ENCOURAGING ORGANIZATIONS LEADS TO ADOPT IAM SOLUTION 84
10.3 RISK AND COMPLIANCE MANAGEMENT 85
10.3.1 RISK AND COMPLIANCE MANAGEMENT EXPECTED TO BE A MAJOR CONTRIBUTOR OF AI CYBERSECURITY MARKET 85
10.4 DATA LOSS PREVENTION 86
10.4.1 DATA LOSS PREVENTION EXPECTED TO GROW AT THE HIGHEST RATE 86
10.5 UNIFIED THREAT MANAGEMENT 87
10.5.1 PROVIDES MULTIPLE SECURITY FUNCTIONS TO PROTECT ENTERPRISES FROM EVOLVING CYBER THREATS IS THE KEY ADVANTAGE OF UTM PROMOTING MARKET GROWTH 87
10.6 SECURITY AND VULNERABILITY MANAGEMENT 88
10.6.1 RAPID GROWTH IN CYBERCRIMES IS FUELING THE ADOPTION OF THIS SOLUTIONS AMONG GLOBAL ENTERPRISES 88
10.7 ANTIVIRUS/ANTIMALWARE 89
10.7.1 FOR ENDPOINT SECURITY ANTIVIRUS EXPECTED TO BE A MAJOR CONTRIBUTOR 89
10.8 FRAUD DETECTION/ANTI-FRAUD 90
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 90
10.9 INTRUSION DETECTION/PREVENTION SYSTEM 91
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 91
10.10 THREAT INTELLIGENCE 92
10.10.1 PREDICT CYBER THREATS IN ADVANCE IS THE MAJOR ADVANTAGE TO DRIVE THE GROWTH OF THE THREAT INTELLIGENCE SEGMENT 92
10.11 OTHERS 93

11 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER 95
11.1 INTRODUCTION 96
11.2 BFSI 97
11.2.1 INCREASED INSTANCES OF CYBER-ATTACKS IN THE FINANCIAL VERTICAL DRIVING THE ADOPTION OF AI IN CYBERSECURITY 97
11.3 RETAIL 98
11.3.1 INCREASING ADOPTION OF AI IN CYBERSECURITY DUE TO EXPANDING CUSTOMER BASE AND GROWING USE OF HIGH-TECH 98
11.4 GOVERNMENT & DEFENSE 99
11.4.1 INCREASED SPENDING ON AI BASED CYBERSECURITY SOLUTIONS IS EXPECTED TO DRIVE THE GROWTH OF THE MARKET 99
11.5 MANUFACTURING 100
11.5.1 HUGE INVESTMENTS IN INDUSTRY FOR AUTOMATION DRIVING THE MARKET FOR AI IN CYBERSECURITY 100
11.6 INFRASTRUCTURE 101
11.6.1 MAJOR FOCUS ON SMART INFRASTRUCTURE INCREASING THE ADOPTION OF AI IN CYBERSECURITY 101
11.7 ENTERPRISE 102
11.7.1 RAPID TECHNOLOGICAL ADVANCEMENTS IN IOT, CLOUD, TELECOM CONNECTIVITY DRIVING THE DEMAND FOR AI IN CYBERSECURITY 102
11.8 HEALTHCARE 104
11.8.1 INCREASING NUMBER OF DATA BREACHES AND COMPROMISED ELECTRONIC HEALTHCARE RECORDS DRIVING THE DEMAND FOR AI IN CYBERSECURITY 104
11.9 AUTOMOTIVE & TRANSPORTATION 105
11.9.1 INCREASING CYBERATTACKS DUE TO RISING NUMBER OF CONNECTED AND AUTONOMOUS CARS ARE DRIVING THE MARKET FOR AI IN CYBERSECURITY 105
11.10 OTHER 106
-
12 GEOGRAPHIC ANALYSIS 107
12.1 INTRODUCTION 108
12.2 NORTH AMERICA 109
12.2.1 US 112
12.2.1.1 US expected to hold the largest market for AI in cybersecurity 112
12.2.2 CANADA 112
12.2.2.1 Investment in modern technologies helps to drive the market 112
12.2.3 MEXICO 113
12.2.3.1 Increasing connectivity drive the market of AI 113
12.3 EUROPE 113
12.3.1 GERMANY 116
12.3.1.1 Increasing number of ransomware, spyware, and reconnaissance drive the adoption of AI in cybersecurity 116
12.3.2 UK 116
12.3.2.1 IT and telecom and financial sector to be top verticals under constant threat from attackers 116
12.3.3 FRANCE 117
12.3.3.1 Increasing adoption of AI cybersecurity majorly in BFSI, government, and retail 117
12.3.4 ITALY 117
12.3.4.1 Rising spread of cloud computing, social media, wireless connectivity, e-commerce, and big data impacting the market 117
12.3.5 SPAIN 117
12.3.5.1 Private and public sector companies are taking initiatives to adopt
AI in cybersecurity 117
12.3.6 REST OF EUROPE 118
12.4 APAC 118
12.4.1 CHINA 121
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 121
12.4.2 JAPAN 122
12.4.2.1 Major adoption of AI in cybersecurity because of highly connected and digitally dependent country 122
12.4.3 SOUTH KOREA 122
12.4.3.1 Government initiatives drive the market 122
12.4.4 INDIA 122
12.4.4.1 SMEs and large enterprises in India are continuously adopting innovative technologies to improve their productivity 122
12.4.5 REST OF APAC 123
12.5 ROW 123
12.5.1 MIDDLE EAST AND AFRICA 125
12.5.1.1 Need to protect the critical infrastructure, industrial assets, and growing trend of IIoT to impact high growth in the market 125
12.5.2 SOUTH AMERICA 125
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 125

13 COMPETITIVE LANDSCAPE 126
13.1 OVERVIEW 126
13.2 RANKING ANALYSIS OF KEY PLAYERS 127
13.3 COMPETITIVE SITUATIONS AND TRENDS 129
13.3.1 PRODUCT LAUNCHES 129
13.3.2 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, & CONTRACTS 131
13.3.3 EXPANSIONS 133
13.3.4 ACQUISITIONS 134
13.4 COMPETITIVE LEADERSHIP MAPPING 136
13.4.1 VISIONARY LEADERS 136
13.4.2 DYNAMIC DIFFERENTIATORS 136
13.4.3 INNOVATORS 136
13.4.4 EMERGING COMPANIES 136

14 COMPANY PROFILES 138
(Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*
14.1 KEY PLAYERS 138
14.1.1 NVIDIA 138
14.1.2 INTEL 144
14.1.3 XILINX 148
14.1.4 SAMSUNG ELECTRONICS 152
14.1.5 MICRON TECHNOLOGY 156
14.1.6 IBM 160
14.1.7 AWS 165
14.1.8 DARKTRACE 169
14.1.9 CYLANCE 172
14.1.10 VECTRA AI 176
14.1.11 THREATMETRIX 179
14.1.12 SECURONIX 182
14.1.13 SIFT SCIENCE 185
14.1.14 ACALVIO TECHNOLOGIES 187
14.1.15 SPARKCONGNITION 189
14.1.16 PALO ALTO NETWORK 191
14.1.17 FIREEYE 195
14.1.18 SYMANTEC 199
14.1.19 FORTINET 203
14.1.20 CHECK POINT SOFTWARE TECHNOLOGIES 207
14.1.21 IMMUNIWEB 211
14.2 OTHER IMPORTANT PLAYERS 214
14.2.1 DEEP INSTINCT 214
14.2.2 SENTINELONE 214
14.2.3 FEEDZAI 215
14.2.4 ZIMPERIUM 215
14.2.5 FORTSCALE 216
14.2.6 ARGUS CYBER SECURITY 216
14.2.7 NOZOMI NETWORKS 217
14.2.8 INDEGY 217
14.2.9 BITSIGHT TECHNOLOGIES 217
14.3 ANTIVIRUS COMPANIES 218
14.3.1 MCAFEE 218
14.3.2 KASPERSKY LAB 218
14.3.3 BITDEFENDER 218
14.3.4 ESET 219
*Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.

15 APPENDIX 220
15.1 INSIGHTS FROM INDUSTRY EXPERTS 220
15.2 DISCUSSION GUIDE 221
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 226
15.4 AVAILABLE CUSTOMIZATIONS 228
15.5 RELATED REPORTS 228
15.6 AUTHOR DETAILS 229

 

LIST OF TABLES

TABLE 1 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING,
2017-2026 (USD MILLION) 53
TABLE 2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HARDWARE,
BY REGION, 2017-2026 (USD MILLION) 54
TABLE 3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY HARDWARE,
2017-2026 (USD MILLION) 54
TABLE 4 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR PROCESSORS,
BY TYPE, 2017-2026 (USD MILLION) 55
TABLE 5 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE,
BY REGION, 2017-2026 (USD MILLION) 57
TABLE 6 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE,
BY TYPE, 2017-2026 (USD MILLION) 58
TABLE 7 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AI PLATFORM,
BY TYPE, 2017-2026 (USD MILLION) 59
TABLE 8 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES,
BY REGION, 2017-2026 (USD MILLION) 60
TABLE 9 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES,
BY TYPE, 2017-2026 (USD MILLION) 60
TABLE 10 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 63
TABLE 11 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD, BY REGION, 2017-2026 (USD MILLION) 64
TABLE 12 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ON-PREMISE,
BY REGION, 2017-2026 (USD MILLION) 65
TABLE 13 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE,
2017-2026 (USD MILLION) 67
TABLE 14 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NETWORK SECURITY, BY REGION, 2017-2026 (USD MILLION) 68
TABLE 15 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENDPOINT SECURITY, BY REGION, 2017-2026 (USD MILLION) 69
TABLE 16 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY, BY REGION, 2017-2026 (USD MILLION) 71
TABLE 17 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD SECURITY,
BY REGION, 2017-2026 (USD MILLION) 72
TABLE 18 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY,
2017-2026 (USD MILLION) 74
TABLE 19 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY REGION, 2017-2026 (USD MILLION) 75
TABLE 20 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY TYPE, 2017-2026 (USD MILLION) 76
TABLE 21 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING (NLP), BY REGION, 2017-2026 (USD MILLION) 79
TABLE 22 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING (NLP), BY PROCESS, 2017-2026 (USD MILLION) 80
TABLE 23 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2017-2026 (USD MILLION) 81
TABLE 24 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY PROCESS, 2017-2026 (USD MILLION) 81
TABLE 25 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION,
2017-2026 (USD MILLION) 84
TABLE 26 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR IDENTITY AND ACCESS MANAGEMENT, BY REGION, 2017-2026 (USD MILLION) 85
TABLE 27 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RISK AND COMPLIANCE MANAGEMENT, BY REGION, 2017-2026 (USD MILLION) 86
TABLE 28 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR DATA LOSS PREVENTION, BY REGION, 2017-2026 (USD MILLION) 87
TABLE 29 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR UNIFIED THREAT MANAGEMENT, BY REGION, 2017-2026 (USD MILLION) 88
TABLE 30 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SECURITY AND VULNERABILITY MANAGEMENT, BY REGION, 2017-2026 (USD MILLION) 89
TABLE 31 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ANTIVIRUS/ANTIMALWARE, BY REGION, 2017-2026 (USD MILLION) 90
TABLE 32 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR FRAUD DETECTION/ ANTI-FRAUD, BY REGION, 2017-2026 (USD MILLION) 91
TABLE 33 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INTRUSION DETECTION/PREVENTION SYSTEM, BY REGION, 2017-2026 (USD MILLION) 92
TABLE 34 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR THREAT INTELLIGENCE, BY REGION, 2017-2026 (USD MILLION) 93
TABLE 35 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHERS, BY REGION, 2017-2026 (USD MILLION) 94
TABLE 36 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER,
2017-2026 (USD MILLION) 97
TABLE 37 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR BFSI, BY REGION, 2017-2026 (USD MILLION) 98
TABLE 38 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RETAIL, BY REGION, 2017-2026 (USD MILLION) 99
TABLE 39 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR GOVERNMENT & DEFENSE, BY REGION, 2017-2026 (USD MILLION) 100
TABLE 40 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MANUFACTURING,
BY REGION, 2017-2026 (USD MILLION) 101
TABLE 41 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INFRASTRUCTURE,
BY REGION, 2017-2026 (USD MILLION) 102
TABLE 42 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENTERPRISE,
BY REGION, 2017-2026 (USD MILLION) 103
TABLE 43 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HEALTHCARE,
BY REGION, 2017-2026 (USD MILLION) 104
TABLE 44 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AUTOMOTIVE & TRANSPORTATION, BY REGION, 2017-2026 (USD MILLION) 105
TABLE 45 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHERS, BY REGION, 2017-2026 (USD MILLION) 106
TABLE 46 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION,
2017-2026 (USD MILLION) 109
TABLE 47 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN NORTH AMERICA,
BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 110
TABLE 48 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN NORTH AMERICA,
BY SECURITY TYPE, 2017-2026 (USD MILLION) 111
TABLE 49 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN NORTH AMERICA,
BY APPLICATION, 2017-2026 (USD MILLION) 111
TABLE 50 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN NORTH AMERICA,
BY COUNTRY, 2017-2026 (USD MILLION) 112
TABLE 51 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN EUROPE,
BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 114
TABLE 52 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN EUROPE,
BY SECURITY TYPE, 2017-2026 (USD MILLION) 115
TABLE 53 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN EUROPE,
BY APPLICATION, 2017-2026 (USD MILLION) 115
TABLE 54 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN EUROPE,
BY COUNTRY, 2017-2026 (USD MILLION) 116
TABLE 55 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC,
BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 119
TABLE 56 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC,
BY SECURITY TYPE, 2017-2026 (USD MILLION) 120
TABLE 57 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC,
BY APPLICATION, 2017-2026 (USD MILLION) 120
TABLE 58 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC,
BY COUNTRY, 2017-2026 (USD MILLION) 121
TABLE 59 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ROW,
BY DEPLOYMENT TYPE, 2017-2026 (USD MILLION) 123
TABLE 60 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ROW,
BY SECURITY TYPE, 2017-2026 (USD MILLION) 124
TABLE 61 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ROW,
BY APPLICATION, 2017-2026 (USD MILLION) 124
TABLE 62 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION) 125
TABLE 63 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS OF KEY COMPANIES FOR HARDWARE 127
TABLE 64 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS OF KEY COMPANIES FOR SOFTWARE 128
TABLE 65 PRODUCT LAUNCHES, 2017-2019 129
TABLE 66 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND CONTRACTS, 2017-2019 131
TABLE 67 EXPANSIONS, 2017-2019 133
TABLE 68 ACQUISITIONS, 2018-2019 134

 

LIST OF FIGURES

FIGURE 1 RESEARCH DESIGN 26
FIGURE 2 PROCESS FLOW OF MARKET SIZE ESTIMATION 31
FIGURE 3 BOTTOM-UP APPROACH 32
FIGURE 4 TOP-DOWN APPROACH 33
FIGURE 5 DATA TRIANGULATION 34
FIGURE 6 SOFTWARE TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2019-2026 37
FIGURE 7 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD-BASED DEPLOYMENT TYPE TO GROW AT HIGHER CAGR DURING 2019-2026 37
FIGURE 8 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY TYPE TO GROW AT HIGHEST CAGR DURING 2019-2026 38
FIGURE 9 ENTERPRISE TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2019-2026 38
FIGURE 10 NORTH AMERICA TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2019-2026 39
FIGURE 11 APAC TO GROW AT HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2019-2026 40
FIGURE 12 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR FROM 2019 TO 2026 40
FIGURE 13 RISK AND COMPLIANCE TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING FORECAST PERIOD 41
FIGURE 14 CHINA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC 42
FIGURE 15 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN CHINA TO GROW AT HIGHEST CAGR FROM 2019 TO 2026 43
FIGURE 16 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 44
FIGURE 17 INCREASE IN ATTACKS AGAINST IOT DEVICES 45
FIGURE 18 RISE IN CYBERCRIME (2018-2019) 46
FIGURE 19 SOFTWARE TO DOMINATE AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD 53
FIGURE 20 AI PLATFORM TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 58
FIGURE 21 CLOUD-BASED DEPLOYMENT TO GROW AT HIGHER CAGR DURING
FORECAST PERIOD 63
FIGURE 22 APPLICATION SECURITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 67
FIGURE 23 APPLICATION SECURITY IN APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 70
FIGURE 24 MACHINE LEARNING TO LEAD AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD 74
FIGURE 25 CLASSIFICATION AND CATEGORIZATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD FOR NLP 79
FIGURE 26 DATA LOSS PREVENTION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 83
FIGURE 27 AUTOMOTIVE & TRANSPORTATION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 96
FIGURE 28 APAC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FOR ENTERPRISE 103
FIGURE 29 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2019 TO 2026 108
FIGURE 30 NORTH AMERICA: SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET 110
FIGURE 31 EUROPE: SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET 114
FIGURE 32 APAC: SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET 119
FIGURE 33 PRODUCT LAUNCHES KEY GROWTH STRATEGY FROM 2017 TO 2019 126
FIGURE 34 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2018 137
FIGURE 35 NVIDIA : COMPANY SNAPSHOT 139
FIGURE 36 INTEL: COMPANY SNAPSHOT 144
FIGURE 37 XILINX: COMPANY SNAPSHOT 148
FIGURE 38 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 152
FIGURE 39 MICRON TECHNOLOGY: COMPANY SNAPSHOT 156
FIGURE 40 IBM: COMPANY SNAPSHOT 160
FIGURE 41 AWS: COMPANY SNAPSHOT 165
FIGURE 42 PALO ALTO NETWORK: COMPANY SNAPSHOT 191
FIGURE 43 FIREEYE: COMPANY SNAPSHOT 195
FIGURE 44 SYMANTEC: COMPANY SNAPSHOT 199
FIGURE 45 FORTINET: COMPANY SNAPSHOT 203
FIGURE 46 CHECK POINT SOFTWARE TECHNOLOGIES: COMPANY SNAPSHOT 207

 

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