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 2028
The artificial intelligence in cybersecurity market size is valued at USD 22.4 Billion in 2023 and is anticipated to be USD 60.6 Billion by 2028; growing at a CAGR of 21.9% from 2023 to 2028. The Driving Factors can be attributed to increasing instances of cyber threat, increasing vulnerability of Wi-Fi networks to the security threats, growing adoption of IoT and increasing number of connected devices among others.
Rising concerns of data protection
Data protection directives play an essential role in addressing rising concerns over the privacy of an individual’s data. The constantly changing threat landscape has given rise to a large number of government regulations globally, which need to be strictly adhered by enterprises across the world. Enterprises are required to meet the mandatory security standards, failing which, severe fine is to be paid to the government. An enterprise data breach or data leakage causes huge data loss to organizations and hamper the brand image of companies. Recently, the Bank of Spain witnessed DDoS attacks, which resulted in sporadic disruptions of the company’s website services. The regulatory compliances provide a guideline to implement the best practices and mitigate security risks. The various regulatory compliances include Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Federal Information Security Management Act (FISMA), Federal Trade Commission (FTC), Gramm-Leach-Bliley Act (GLBA), European Union Agency for Network and Information Security (ENISA), GDPR, and Sarbanes-Oxley Act (SOX). The compliances help SMEs and large enterprises across various industries to adopt the best practices and maintain robust cybersecurity. The federal regulations that govern the development and implementation of policies, standards, and guidelines for data security focus on specific industries, such as the financial and healthcare that are governed by the HIPAA and GLBA, respectively. The FTC regulates corporate cybersecurity practices, which involves preventing enterprises from inadequate security practices that fall under unfair trade practices regulation. European GDPR is a revolutionary regulation that governs data privacy laws across Europe. Furthermore, the PCI DSS standard safeguards the cardholder from fraudulent activities and financial thefts. The other important regulations include FISMA and SOX that ensure and govern data privacy and data security.
Increasing vulnerability of Wi-Fi networks to security threats
In Wi-Fi networks, a hacker can position himself between the user and the connection point. Instead of connecting directly with the hotspot, the user sends information to the hacker, who then relays it. Free Wi-Fi hotspots require no authentication to establish a network connection, thus making them easy targets. Hackers can also use an unsecured Wi-Fi connection to distribute malware. If a user allows file-sharing across a network, the hacker can easily plant infected software on his computer. A few ingenious hackers have even managed to hack the connection point itself, causing a pop-up window to appear during the connection process offering an upgrade to a piece of popular software; clicking the window installs the malware. As mobile Wi-Fi becomes increasingly common, one can expect Internet security issues and public Wi-Fi risks to grow over time.
Most Wi-Fi connections use the WPA2 security protocol. Malicious attack can be used to steal sensitive information, such as credit card numbers, passwords, chat messages, emails, and photos. Attackers can also inject some ransomware or malware into the website. The vulnerability affects a number of operating systems and devices, including Android, Linux, Apple, Windows, OpenBSD, MediaTek, Linksys, and others. Traditional cybersecurity methods are not very efficient in handling the attacks on WiFi networks, and this drawback of traditional cybersecurity methods is driving the need for AI in cybersecurity.
APAC is the fastest-growing region in the artificial intelligence in cybersecurity market
Asia Pacific is projected to be a high-growth market for artificial intelligence in cybersecurity during the forecast period. SMEs and large enterprises in this region are rapidly adopting cybersecurity solutions to ensure security of their networks, web, and mobile applications. High adoption of advanced technologies, such as IoT, big data analytics, and cloud computing, and rising concerns about data security in the region are expected to drive the growth of the AI in cybersecurity market in APAC.
The breakup of primaries conducted during the study is depicted below:
The report segments the artificial intelligence in cybersecurity market and forecasts its size, by value, based on geography (North America, Europe, Asia Pacific, and RoW), deployment type (on-premise, cloud), security type (network security, endpoint security, application security, and cloud security), by application (identity and access management, risk and compliance management, data loss prevention, unified threat management, antivirus/antimalware, intrusion detection/prevention system, security and vulnerability management, threat intelligence, fraud detection, and others (such as application whitelisting and patch management)), end users (government & defense, BFSI, enterprise, infrastructure, automotive & transportation, healthcare, retail, manufacturing, and others (oil & gas, education, and energy)), offerings (hardware, software, and services), and technology (machine learning, natural language processing (NLP), and context-aware computing). The report also provides a comprehensive review of market drivers, restraints, opportunities, and challenges in the artificial intelligence in cybersecurity market. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.
Key Benefits of Buying This Report
1 This report segments the artificial intelligence in cybersecurity market comprehensively provides the closest approximations of the overall market size and those of the subsegments across different applications and regions
2 The report provides a detailed analysis of the artificial intelligence in cybersecurity market with the help of competitive leadership mapping, including crucial companies in the market and their relations in the ecosystem.
3 Major market drivers, restraints, challenges, and opportunities have been detailed in this report.
4 Illustrative segmentation, analyses, and forecasts for the market based on offerings, deployment type, security type, applications, end users, technology, and geography have been conducted to provide an overall view of the artificial intelligence in cybersecurity market.
5 The report includes an in-depth analysis and ranking of key players.
Rising concerns of data protection
Data protection directives play an essential role in addressing rising concerns over the privacy of an individual’s data. The constantly changing threat landscape has given rise to a large number of government regulations globally, which need to be strictly adhered by enterprises across the world. Enterprises are required to meet the mandatory security standards, failing which, severe fine is to be paid to the government. An enterprise data breach or data leakage causes huge data loss to organizations and hamper the brand image of companies. Recently, the Bank of Spain witnessed DDoS attacks, which resulted in sporadic disruptions of the company’s website services. The regulatory compliances provide a guideline to implement the best practices and mitigate security risks. The various regulatory compliances include Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Federal Information Security Management Act (FISMA), Federal Trade Commission (FTC), Gramm-Leach-Bliley Act (GLBA), European Union Agency for Network and Information Security (ENISA), GDPR, and Sarbanes-Oxley Act (SOX). The compliances help SMEs and large enterprises across various industries to adopt the best practices and maintain robust cybersecurity. The federal regulations that govern the development and implementation of policies, standards, and guidelines for data security focus on specific industries, such as the financial and healthcare that are governed by the HIPAA and GLBA, respectively. The FTC regulates corporate cybersecurity practices, which involves preventing enterprises from inadequate security practices that fall under unfair trade practices regulation. European GDPR is a revolutionary regulation that governs data privacy laws across Europe. Furthermore, the PCI DSS standard safeguards the cardholder from fraudulent activities and financial thefts. The other important regulations include FISMA and SOX that ensure and govern data privacy and data security.
Increasing vulnerability of Wi-Fi networks to security threats
In Wi-Fi networks, a hacker can position himself between the user and the connection point. Instead of connecting directly with the hotspot, the user sends information to the hacker, who then relays it. Free Wi-Fi hotspots require no authentication to establish a network connection, thus making them easy targets. Hackers can also use an unsecured Wi-Fi connection to distribute malware. If a user allows file-sharing across a network, the hacker can easily plant infected software on his computer. A few ingenious hackers have even managed to hack the connection point itself, causing a pop-up window to appear during the connection process offering an upgrade to a piece of popular software; clicking the window installs the malware. As mobile Wi-Fi becomes increasingly common, one can expect Internet security issues and public Wi-Fi risks to grow over time.
Most Wi-Fi connections use the WPA2 security protocol. Malicious attack can be used to steal sensitive information, such as credit card numbers, passwords, chat messages, emails, and photos. Attackers can also inject some ransomware or malware into the website. The vulnerability affects a number of operating systems and devices, including Android, Linux, Apple, Windows, OpenBSD, MediaTek, Linksys, and others. Traditional cybersecurity methods are not very efficient in handling the attacks on WiFi networks, and this drawback of traditional cybersecurity methods is driving the need for AI in cybersecurity.
APAC is the fastest-growing region in the artificial intelligence in cybersecurity market
Asia Pacific is projected to be a high-growth market for artificial intelligence in cybersecurity during the forecast period. SMEs and large enterprises in this region are rapidly adopting cybersecurity solutions to ensure security of their networks, web, and mobile applications. High adoption of advanced technologies, such as IoT, big data analytics, and cloud computing, and rising concerns about data security in the region are expected to drive the growth of the AI in cybersecurity market in APAC.
The breakup of primaries conducted during the study is depicted below:
- 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%, Rest of world– 5%
The report segments the artificial intelligence in cybersecurity market and forecasts its size, by value, based on geography (North America, Europe, Asia Pacific, and RoW), deployment type (on-premise, cloud), security type (network security, endpoint security, application security, and cloud security), by application (identity and access management, risk and compliance management, data loss prevention, unified threat management, antivirus/antimalware, intrusion detection/prevention system, security and vulnerability management, threat intelligence, fraud detection, and others (such as application whitelisting and patch management)), end users (government & defense, BFSI, enterprise, infrastructure, automotive & transportation, healthcare, retail, manufacturing, and others (oil & gas, education, and energy)), offerings (hardware, software, and services), and technology (machine learning, natural language processing (NLP), and context-aware computing). The report also provides a comprehensive review of market drivers, restraints, opportunities, and challenges in the artificial intelligence in cybersecurity market. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.
Key Benefits of Buying This Report
1 This report segments the artificial intelligence in cybersecurity market comprehensively provides the closest approximations of the overall market size and those of the subsegments across different applications and regions
2 The report provides a detailed analysis of the artificial intelligence in cybersecurity market with the help of competitive leadership mapping, including crucial companies in the market and their relations in the ecosystem.
3 Major market drivers, restraints, challenges, and opportunities have been detailed in this report.
4 Illustrative segmentation, analyses, and forecasts for the market based on offerings, deployment type, security type, applications, end users, technology, and geography have been conducted to provide an overall view of the artificial intelligence in cybersecurity market.
5 The report includes an in-depth analysis and ranking of key players.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.2.2 COMPANY: INCLUSIONS AND EXCLUSIONS
1.2.3 OFFERING: INCLUSIONS AND EXCLUSIONS
1.2.4 DEPLOYMENT TYPE: INCLUSIONS AND EXCLUSIONS
1.2.5 SECURITY TYPE: INCLUSIONS AND EXCLUSIONS
1.2.6 TECHNOLOGY: INCLUSIONS AND EXCLUSIONS
1.2.7 APPLICATION: INCLUSIONS AND EXCLUSIONS
1.2.8 END USER: INCLUSIONS AND EXCLUSIONS
1.2.9 REGION: INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
FIGURE 1 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SEGMENTATION
1.3.2 REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 1 CURRENCY CONVERSION RATES
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: RESEARCH DESIGN
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
FIGURE 3 PROCESS FLOW OF MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
FIGURE 4 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE)?REVENUE GENERATED BY KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
FIGURE 6 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.4.1 LIMITATIONS
FIGURE 8 RESEARCH LIMITATIONS
2.5 RISK ASSESSMENT
TABLE 2 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
FIGURE 9 SOFTWARE TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY DURING 2023–2028
FIGURE 10 CLOUD-BASED DEPLOYMENT OF AI IN CYBERSECURITY TO GROW AT HIGHER CAGR DURING 2023–2028
FIGURE 11 CLOUD SECURITY IN AI IN CYBERSECURITY MARKET TO GROW AT HIGHEST CAGR DURING 2023–2028
FIGURE 12 ENTERPRISE TO DOMINATE ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN 2022
FIGURE 13 NORTH AMERICA TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY DURING 2023–2028
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
FIGURE 14 ASIA PACIFIC TO GROW AT HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2023–2028
4.2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY
FIGURE 15 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR FROM 2023?2028
4.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION
FIGURE 16 IDENTITY AND ACCESS MANAGEMENT TO HOLD LARGEST SIZE DURING FORECAST PERIOD
4.4 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC, BY APPLICATION AND COUNTRY
FIGURE 17 CHINA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC
4.5 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY
FIGURE 18 MARKET IN CHINA TO GROW AT HIGHEST CAGR FROM 2023 TO 2028
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 19 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY 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
FIGURE 20 US: NUMBER OF CYBERATTACKS, 2015–2021
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
5.2.3.3 Zero trust framework providing advanced security
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
5.2.4.3 Shortcomings of AI
5.3 TECHNOLOGY ANALYSIS
5.3.1 DEEP LEARNING
5.3.2 MACHINE LEARNING
5.3.3 USER AND ENTITY BEHAVIOR ANALYTICS (UEBA)
5.3.4 TOKENIZATION
5.3.5 BLOCKCHAIN
5.4 PORTER'S FIVE FORCES ANALYSIS
TABLE 3 IMPACT OF PORTER'S FIVE FORCES
5.4.1 THREAT OF NEW ENTRANTS
5.4.2 THREAT OF SUBSTITUTES
5.4.3 BARGAINING POWER OF SUPPLIERS
5.4.4 BARGAINING POWER OF BUYERS
5.4.5 INTENSITY OF COMPETITIVE RIVALRY
5.5 TRADE DATA
TABLE 4 EXPORTS DATA FOR PRODUCTS UNDER HS CODE 8471, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 5 IMPORTS DATA FOR PRODUCTS UNDER HS CODE 8471, BY COUNTRY, 2017–2021 (USD MILLION)
5.6 REGULATORY IMPLICATIONS
5.6.1 GENERAL DATA PROTECTION REGULATION
5.6.2 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
5.6.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
5.6.4 FEDERAL INFORMATION SECURITY MANAGEMENT ACT
5.6.5 GRAMM-LEACH-BLILEY ACT
5.6.6 SARBANES-OXLEY ACT
5.6.7 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001
5.6.8 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7 KEY STAKEHOLDERS AND BUYING PROCESS
5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
TABLE 10 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
5.7.2 BUYING CRITERIA
FIGURE 22 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 11 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
5.8 CASE STUDY ANALYSIS
5.8.1 CARGILLS BANK IMPLEMENTS IBM QRADAR SIEM
5.8.2 INFOSYS IMPLEMENTS INFRASTRUCTURE SECURITY ENDPOINT MANAGEMENT (ISEM) FOR INVESTMENT GIANT
5.8.3 SIEMENS USES AMAZON WEB SERVICES (AWS) TO BUILD DATA ANALYTICS PLATFORM
5.8.4 INFOSYS CREATES UNIFIED DATA LOSS PREVENTION PLATFORM USING GCP (GOOGLE CLOUD PLATFORM)
5.9 KEY CONFERENCES AND EVENTS, 2022–2023
TABLE 12 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: KEY CONFERENCES AND EVENTS, 2022-2032
5.10 REVENUE SHIFT AND NEW REVENUE POCKETS FOR CUSTOMERS' BUSINESSES
FIGURE 23 REVENUE SHIFT IN AI IN CYBERSECURITY MARKET
5.11 ECOSYSTEM ANALYSIS
TABLE 13 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: ECOSYSTEM
FIGURE 24 KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ECOSYSTEM
5.12 VALUE CHAIN ANALYSIS
FIGURE 25 VALUE CHAIN ANALYSIS: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
5.12.1 RESEARCH, DESIGN, AND DEVELOPMENT
5.12.2 COMPONENT PROVIDERS
5.12.3 SYSTEM INTEGRATORS
5.12.4 MARKETING AND SALES EXECUTIVES
5.12.5 END USER INDUSTRIES
5.12.6 SERVICE PROVIDERS
5.13 PATENT ANALYSIS
TABLE 14 IMPORTANT PATENT REGISTRATIONS, 2017–2021
FIGURE 26 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
FIGURE 27 ANNUAL NUMBER OF PATENTS GRANTED OVER LAST FIVE YEARS
TABLE 15 TOP 10 PATENT OWNERS
5.14 PRICING ANALYSIS
FIGURE 28 PRICING BY KEY PLAYERS
FIGURE 29 AVERAGE SELLING PRICING
6 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING
6.1 INTRODUCTION
FIGURE 30 SOFTWARE TO DOMINATE AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD
TABLE 16 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 17 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 HARDWARE
TABLE 18 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HARDWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 19 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HARDWARE, BY REGION, 2023–2028 (USD MILLION)
TABLE 20 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
TABLE 21 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
6.2.1 PROCESSORS
TABLE 22 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR PROCESSORS, BY TYPE, 2019–2022 (USD MILLION)
TABLE 23 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR PROCESSORS, BY TYPE, 2023–2028 (USD MILLION)
6.2.1.1 MPU
6.2.1.1.1 Performs arithmetic and logic operations that use registers
6.2.1.2 GPU
6.2.1.2.1 Rapidly manipulates and alters memory to accelerate image creation
6.2.1.3 FPGA
6.2.1.3.1 Enables rapid prototyping, shorter time-to-market, reprogram ability, and longevity
6.2.1.4 ASIC
6.2.1.4.1 Affordable and enables improved performance
6.2.2 MEMORY
6.2.2.1 Memory solutions help store large volume of data
6.2.3 NETWORK
6.2.3.1 High-bandwidth networks enable ultrafast communication between CPU and GPU
6.3 SOFTWARE
TABLE 24 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 25 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY REGION, 2023–2028 (USD MILLION)
FIGURE 31 AI PLATFORM TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 26 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY TYPE, 2019–2022 (USD MILLION)
TABLE 27 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY TYPE, 2023–2028 (USD MILLION)
6.3.1 AI SOLUTIONS
6.3.1.1 Advancements in AI solutions boosting market growth
6.3.2 AI PLATFORM
6.3.2.1 AI platforms are used to develop learning algorithms and intelligent applications
TABLE 28 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AI PLATFORM, BY TYPE, 2019–2022 (USD MILLION)
TABLE 29 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AI PLATFORM, BY TYPE, 2023–2028 (USD MILLION)
6.3.2.2 Application Program Interface (API)
6.3.2.2.1 Easily develops program by providing all building blocks
6.3.2.3 Machine learning framework
6.3.2.3.1 Enables developers to create machine learning models and algorithms
6.4 SERVICES
TABLE 30 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY REGION, 2019–2022 (USD MILLION)
TABLE 31 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY REGION, 2023–2028 (USD MILLION)
TABLE 32 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY TYPE, 2019–2022 (USD MILLION)
TABLE 33 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY TYPE, 2023–2028 (USD MILLION)
6.4.1 DEPLOYMENT & INTEGRATION
6.4.1.1 Required for configuration of AI systems
6.4.2 SUPPORT & MAINTENANCE
6.4.2.1 Help in maintaining acceptable standards of systems
7 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE
7.1 INTRODUCTION
FIGURE 32 CLOUD-BASED DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 34 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 35 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
7.2 CLOUD
7.2.1 COST-EFFECTIVENESS OF CLOUD-BASED SOLUTIONS TO BOOST MARKET
TABLE 36 CLOUD: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 37 CLOUD: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
7.3 ON-PREMISE
7.3.1 FULL CONTROL OF PLATFORMS, APPLICATIONS, SYSTEMS, AND DATA TO DRIVE MARKET
TABLE 38 ON-PREMISE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 39 ON-PREMISE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
8 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE
8.1 INTRODUCTION
FIGURE 33 CLOUD SECURITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 40 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 41 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
8.2 NETWORK SECURITY
8.2.1 HELPS TO PROTECT DATA FROM NUMEROUS THREATS
TABLE 42 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NETWORK SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 43 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NETWORK SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.3 ENDPOINT SECURITY
8.3.1 PROVIDES REAL-TIME THREAT DETECTION, PREVENTION, AND RESPONSE TO NETWORK DEVICES
TABLE 44 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENDPOINT SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENDPOINT SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.4 APPLICATION SECURITY
8.4.1 ENABLES ENTERPRISES TO SECURE BUSINESS-SENSITIVE APPLICATIONS
FIGURE 34 APPLICATION SECURITY IN ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 46 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 47 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.5 CLOUD SECURITY
8.5.1 PROVIDES COMPLETE THREAT PROTECTION AGAINST RANSOMWARE, INTERNAL EMAIL RISKS, AND FILE-SHARING RISKS
TABLE 48 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 49 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD SECURITY, BY REGION, 2023–2028(USD MILLION)
9 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
FIGURE 35 MACHINE LEARNING TO LEAD AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD
TABLE 50 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 51 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
9.2 MACHINE LEARNING
9.2.1 MACHINE LEARNING HELP BUSINESSES DEAL WITH LARGE VOLUMES OF DATA
TABLE 52 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY REGION, 2019–2022 (USD MILLION)
TABLE 53 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY REGION, 2023–2028 (USD MILLION)
TABLE 54 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY TYPE, 2019–2022 (USD MILLION)
TABLE 55 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY TYPE, 2023–2028 (USD MILLION)
9.2.2 DEEP LEARNING
9.2.2.1 Growing application of deep learning algorithms
9.2.3 SUPERVISED LEARNING
9.2.3.1 Classification and regression ? major segments of supervised learning
9.2.4 UNSUPERVISED LEARNING
9.2.4.1 Includes clustering methods consisting of algorithms with unlabeled training data
9.2.5 REINFORCEMENT LEARNING
9.2.5.1 Allows systems and software to determine ideal behavior to maximize performance
9.2.6 OTHERS
9.3 NATURAL LANGUAGE PROCESSING
9.3.1 REAL-TIME TRANSLATION AND DEVELOPMENT OF SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES
TABLE 56 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2019–2022 (USD MILLION)
TABLE 57 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2023–2028 (USD MILLION)
FIGURE 36 CLASSIFICATION & CATEGORIZATION IN NLP TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 58 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2019–2022 (USD MILLION)
TABLE 59 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2023–2028 (USD MILLION)
9.4 CONTEXT-AWARE COMPUTING
9.4.1 DEVELOPMENT OF SOPHISTICATED HARD AND SOFT SENSORS
TABLE 60 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2019–2022 (USD MILLION)
TABLE 61 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2023–2028 (USD MILLION)
TABLE 62 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY PROCESS, 2019–2022 (USD MILLION)
TABLE 63 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY PROCESS, 2023–2028 (USD MILLION)
10 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION
10.1 INTRODUCTION
FIGURE 37 IDENTITY & ACCESS MANAGEMENT TO HOLD LARGEST SHARE OF MARKET DURING FORECAST PERIOD
TABLE 64 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 65 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.2 IDENTITY & ACCESS MANAGEMENT
10.2.1 INCREASING THREAT OF DATA BREACHES DUE TO INSIDER ATTACKS
TABLE 66 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR IDENTITY & ACCESS MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 67 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR IDENTITY & ACCESS MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.3 RISK & COMPLIANCE MANAGEMENT
10.3.1 GROWING NEED FOR INTERNAL AUDIT FEATURES AND REGULATORY COMPLIANCE MANDATES
TABLE 68 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RISK & COMPLIANCE MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 69 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RISK & COMPLIANCE MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.4 DATA LOSS PREVENTION
10.4.1 STRICT IMPLEMENTATION OF GOVERNMENT REGULATIONS AND LAWS
TABLE 70 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR DATA LOSS PREVENTION, BY REGION, 2019–2022 (USD MILLION)
TABLE 71 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR DATA LOSS PREVENTION, BY REGION, 2023–2028 (USD MILLION)
10.5 UNIFIED THREAT MANAGEMENT
10.5.1 PROVIDES MULTIPLE SECURITY FUNCTIONS TO PROTECT ENTERPRISES FROM EVOLVING CYBER THREATS
TABLE 72 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR UNIFIED THREAT MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR UNIFIED THREAT MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.6 SECURITY & VULNERABILITY MANAGEMENT
10.6.1 EXPANDING VOLUME OF DATA AND RISING ADOPTION OF BYOD TREND
TABLE 74 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SECURITY & VULNERABILITY MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 75 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SECURITY & VULNERABILITY MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.7 ANTIVIRUS/ANTIMALWARE
10.7.1 RISING NUMBER OF MALWARE AND VIRUS ATTACKS
TABLE 76 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ANTIVIRUS/ANTIMALWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 77 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ANTIVIRUS/ANTIMALWARE, BY REGION, 2023–2028 (USD MILLION)
10.8 FRAUD DETECTION/ANTIFRAUD
10.8.1 NEED FOR ROBUST INFRASTRUCTURE WITH HIGH-PERFORMANCE COMPUTING AND SCALABILITY
TABLE 78 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR FRAUD DETECTION/ ANTIFRAUD, BY REGION, 2019–2022 (USD MILLION)
TABLE 79 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR FRAUD DETECTION/ ANTIFRAUD, BY REGION, 2023–2028 (USD MILLION)
10.9 INTRUSION DETECTION/PREVENTION SYSTEM
10.9.1 MONITORS NETWORK ACROSS ENTERPRISES FOR SUSPICIOUS ACTIVITY
TABLE 80 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INTRUSION DETECTION/PREVENTION SYSTEM, BY REGION, 2019–2022 (USD MILLION)
TABLE 81 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INTRUSION DETECTION/PREVENTION SYSTEM, BY REGION, 2023–2028 (USD MILLION)
10.10 THREAT INTELLIGENCE/DETECTION
10.10.1 PREDICTS CYBER THREATS IN ADVANCE
TABLE 82 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR THREAT INTELLIGENCE, BY REGION, 2019–2022 (USD MILLION)
TABLE 83 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR THREAT INTELLIGENCE, BY REGION, 2023–2028 (USD MILLION)
10.11 OTHERS
TABLE 84 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER APPLICATIONS, BY REGION, 2019–2022 (USD MILLION)
TABLE 85 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER APPLICATIONS, BY REGION, 2023–2028 (USD MILLION)
11 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER
11.1 INTRODUCTION
FIGURE 38 AUTOMOTIVE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 86 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 87 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER, 2023–2028 (USD MILLION)
11.2 BFSI
11.2.1 INCREASED INSTANCES OF CYBER-ATTACKS IN FINANCIAL VERTICAL
TABLE 88 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR BFSI, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR BFSI, BY REGION, 2023–2028 (USD MILLION)
11.3 RETAIL
11.3.1 LARGE NUMBER OF MONETARY TRANSACTIONS AND EXPANDING CONSUMER BASE
TABLE 90 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RETAIL, BY REGION, 2019–2022 (USD MILLION)
TABLE 91 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RETAIL, BY REGION, 2023–2028 (USD MILLION)
11.4 GOVERNMENT & DEFENSE
11.4.1 INCREASED SPENDING ON AI-BASED CYBERSECURITY SOLUTIONS
TABLE 92 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR GOVERNMENT & DEFENSE, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR GOVERNMENT & DEFENSE, BY REGION, 2023–2028 (USD MILLION)
11.5 MANUFACTURING
11.5.1 HUGE INVESTMENTS IN INDUSTRY FOR AUTOMATION
TABLE 94 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MANUFACTURING, BY REGION, 2019–2022 (USD MILLION)
TABLE 95 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MANUFACTURING, BY REGION, 2023–2028 (USD MILLION)
11.6 INFRASTRUCTURE
11.6.1 GROWING FOCUS ON SMART INFRASTRUCTURE
TABLE 96 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INFRASTRUCTURE, BY REGION, 2019–2022 (USD MILLION)
TABLE 97 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INFRASTRUCTURE, BY REGION, 2023–2028 (USD MILLION)
11.7 ENTERPRISE
11.7.1 RAPID TECHNOLOGICAL ADVANCEMENTS IN IOT, CLOUD, AND TELECOM CONNECTIVITY
FIGURE 39 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD IN ENTERPRISE SEGMENT
TABLE 98 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENTERPRISE, BY REGION, 2019–2022 (USD MILLION)
TABLE 99 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENTERPRISE, BY REGION, 2023–2028 (USD MILLION)
11.8 HEALTHCARE
11.8.1 INCREASING NUMBER OF DATA BREACHES AND COMPROMISED ELECTRONIC HEALTHCARE RECORDS
TABLE 100 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HEALTHCARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 101 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HEALTHCARE, BY REGION, 2023–2028 (USD MILLION)
11.9 AUTOMOTIVE
11.9.1 INCREASING CYBERATTACKS DUE TO RISING NUMBER OF CONNECTED AND AUTONOMOUS CARS
TABLE 102 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AUTOMOTIVE, BY REGION, 2019–2022 (USD MILLION)
TABLE 103 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AUTOMOTIVE, BY REGION, 2023–2028 (USD MILLION)
11.10 OTHERS
TABLE 104 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER END USERS, BY REGION, 2019–2022 (USD MILLION)
TABLE 105 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER END USERS, BY REGION, 2023–2028 (USD MILLION)
12 REGIONAL ANALYSIS
12.1 INTRODUCTION
FIGURE 40 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC TO GROW AT HIGHEST CAGR FROM 2023?2028
TABLE 106 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 107 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
12.2 NORTH AMERICA
FIGURE 41 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 108 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 109 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 110 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 111 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 112 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 113 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 114 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 115 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
12.2.1 US
12.2.1.1 Rapid growth in technological innovations and increased use of internet
12.2.2 CANADA
12.2.2.1 Investment in modern technologies to drive market
12.2.3 MEXICO
12.2.3.1 Increasing connectivity to boost market
12.3 EUROPE
FIGURE 42 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 116 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 117 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028(USD MILLION)
TABLE 118 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 119 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 120 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 121 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 122 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 123 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028(USD MILLION)
12.3.1 GERMANY
12.3.1.1 Increasing number of ransomware, spyware, and reconnaissance to fuel market
12.3.2 UK
12.3.2.1 Threat to IT, telecom, and financial sectors to increase demand for cybersecurity
12.3.3 FRANCE
12.3.3.1 Market growth attributed to increasing adoption of AI cybersecurity 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 to provide opportunities
12.3.5 SPAIN
12.3.5.1 Private and public sector companies’ initiatives to adopt AI in cybersecurity to fuel market
12.3.6 REST OF EUROPE
12.4 ASIA PACIFIC
FIGURE 43 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 124 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 125 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 126 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 127 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 128 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 129 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 130 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 131 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
12.4.1 CHINA
12.4.1.1 Increased instances of virus, worm, spyware, trojan, and ransomware attacks to drive market
12.4.2 JAPAN
12.4.2.1 Significant number of ICT users to drive market
12.4.3 SOUTH KOREA
12.4.3.1 Government initiatives to enhance cybersecurity driving market growth
12.4.4 INDIA
12.4.4.1 Participation of SMEs and large enterprises
12.4.5 REST OF ASIA PACIFIC
12.5 REST OF THE WORLD
TABLE 132 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 133 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 134 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 135 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 136 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 137 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 138 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 139 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
12.5.1 MIDDLE EAST AND AFRICA
12.5.1.1 Demand to protect critical infrastructure and industrial assets to aid market growth
12.5.2 SOUTH AMERICA
12.5.2.1 Service-specific attacks, malware, phishing, DDoS, and reconnaissance are major threat vectors
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
TABLE 140 COMPANIES ADOPTED ACQUISITIONS AND PARTNERSHIPS AS KEY GROWTH STRATEGIES FROM 2019?2022
13.2 MARKET SHARE ANALYSIS
TABLE 141 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEGREE OF COMPETITION FOR SOFTWARE 2022
TABLE 142 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS FOR SOFTWARE 2022
FIGURE 44 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SHARE ANALYSIS FOR SOFTWARE (2022)
TABLE 143 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEGREE OF COMPETITION FOR HARDWARE 2022
TABLE 144 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS FOR HARDWARE 2022
FIGURE 45 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SHARE ANALYSIS FOR HARDWARE (2022)
13.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: REVENUE ANALYSIS, 2017–2021
FIGURE 46 FIVE-YEAR REVENUE SNAPSHOT OF KEY HARDWARE COMPANIES
FIGURE 47 THREE-YEAR REVENUE SNAPSHOT OF KEY SOFTWARE COMPANIES
13.4 COMPANY EVALUATION QUADRANT, 2022
13.4.1 STARS
13.4.2 PERVASIVE PLAYERS
13.4.3 EMERGING LEADERS
13.4.4 PARTICIPANTS
FIGURE 48 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: GLOBAL COMPANY EVALUATION QUADRANT, 2022
13.5 COMPETITIVE BENCHMARKING
13.5.1 PRODUCT FOOTPRINT (12 COMPANIES)
TABLE 145 SECURITY TYPE: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 146 DEPLOYMENT TYPE: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 147 REGION: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 148 OVERALL: COMPANY FOOTPRINT (33 COMPANIES)
13.6 STARTUP/SME EVALUATION QUADRANT, 2022
13.6.1 PROGRESSIVE COMPANIES
13.6.2 RESPONSIVE COMPANIES
13.6.3 DYNAMIC COMPANIES
13.6.4 STARTING BLOCKS
FIGURE 49 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: GLOBAL STARTUP/SME EVALUATION QUADRANT, 2022
13.7 COMPETITIVE SCENARIO AND TRENDS
13.7.1 PRODUCT LAUNCHES
TABLE 149 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: PRODUCT LAUNCHES, 2019–2022
13.7.2 DEALS
TABLE 150 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEALS, 2018–2022
TABLE 151 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: KEY STARTUPS/SMES
14 COMPANY PROFILES
14.1 INTRODUCTION
(Business overview, Products offered, Recent Developments, MNM view)*
14.2 KEY PLAYERS
14.2.1 NVIDIA
TABLE 152 NVIDIA: BUSINESS OVERVIEW
FIGURE 50 NVIDIA: COMPANY SNAPSHOT
TABLE 153 NVIDIA: PRODUCTS OFFERED
TABLE 154 NVIDIA: PRODUCT LAUNCHES
TABLE 155 NVIDIA: DEALS
14.2.2 INTEL
TABLE 156 INTEL: BUSINESS OVERVIEW
FIGURE 51 INTEL: COMPANY SNAPSHOT
TABLE 157 INTEL: PRODUCTS OFFERED
TABLE 158 INTEL: PRODUCT LAUNCHES
TABLE 159 INTEL: DEALS
14.2.3 XILINX INC.
TABLE 160 XILINX INC.: BUSINESS OVERVIEW
FIGURE 52 XILINX INC.: COMPANY SNAPSHOT
TABLE 161 XILINX INC.: PRODUCTS OFFERED
TABLE 162 XILINX INC.: PRODUCT LAUNCHES
TABLE 163 XILINX INC.: DEALS
14.2.4 SAMSUNG ELECTRONICS CO., LTD
TABLE 164 SAMSUNG ELECTRONICS CO., LTD: BUSINESS OVERVIEW
FIGURE 53 SAMSUNG ELECTRONICS CO., LTD: COMPANY SNAPSHOT
TABLE 165 SAMSUNG ELECTRONICS CO., LTD: PRODUCTS OFFERED
TABLE 166 SAMSUNG ELECTRONICS CO., LTD: PRODUCT LAUNCHES
TABLE 167 SAMSUNG ELECTRONICS CO., LTD: DEALS
14.2.5 MICRON TECHNOLOGY
TABLE 168 MICRON TECHNOLOGY: BUSINESS OVERVIEW
FIGURE 54 MICRON TECHNOLOGY: COMPANY SNAPSHOT
TABLE 169 MICRON TECHNOLOGY: PRODUCTS OFFERED
TABLE 170 MICRON TECHNOLOGY: PRODUCT LAUNCHES
TABLE 171 MICRON TECHNOLOGY: DEALS
14.2.6 INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
FIGURE 55 IBM: COMPANY SNAPSHOT
TABLE 172 IBM: BUSINESS OVERVIEW
TABLE 173 IBM: PRODUCTS OFFERED
TABLE 174 IBM: PRODUCT LAUNCHES
TABLE 175 IBM: DEALS
14.2.7 AMAZON WEB SERVICES (AWS)
TABLE 176 AMAZON WEB SERVICES: BUSINESS OVERVIEW
FIGURE 56 AMAZON WEB SERVICES: COMPANY SNAPSHOT
TABLE 177 AMAZON WEB SERVICES: PRODUCTS OFFERED
TABLE 178 AMAZON WEB SERVICES: PRODUCT LAUNCHES
TABLE 179 AMAZON WEB SERVICES: DEALS
14.2.8 MICROSOFT CORPORATION
TABLE 180 MICROSOFT CORPORATION: BUSINESS OVERVIEW
FIGURE 57 MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 181 MICROSOFT CORPORATION: PRODUCTS OFFERED
TABLE 182 MICROSOFT CORPORATION: PRODUCT LAUNCHES
TABLE 183 MICROSOFT CORPORATION: DEALS
14.2.9 PALO ALTO NETWORKS
TABLE 184 PALO ALTO NETWORKS: BUSINESS OVERVIEW
FIGURE 58 PALO ALTO NETWORKS: COMPANY SNAPSHOT
TABLE 185 PALO ALTO NETWORKS: PRODUCTS OFFERED
TABLE 186 PALO ALTO NETWORKS: PRODUCT LAUNCHES
TABLE 187 PALO ALTO NETWORKS: DEALS
14.2.10 TRELLIX
TABLE 188 TRELLIX: BUSINESS OVERVIEW
TABLE 189 TRELLIX: PRODUCTS OFFERED
TABLE 190 TRELLIX: PRODUCT LAUNCHES
14.2.11 CROWDSTRIKE
TABLE 191 CROWDSTRIKE: BUSINESS OVERVIEW
FIGURE 59 CROWDSTRIKE: COMPANY SNAPSHOT
TABLE 192 CROWDSTRIKE: PRODUCTS OFFERED
TABLE 193 CROWDSTRIKE: PRODUCT LAUNCHES
TABLE 194 CROWDSTRIKE: DEALS
14.2.12 NORTON LIFELOCK
TABLE 195 NORTON LIFELOCK: BUSINESS OVERVIEW
FIGURE 60 NORTON LIFELOCK: COMPANY SNAPSHOT
TABLE 196 NORTON LIFELOCK: PRODUCTS OFFERED
TABLE 197 NORTON LIFELOCK: PRODUCT LAUNCHES
TABLE 198 NORTON LIFELOCK: DEALS
14.3 OTHER PLAYERS
14.3.1 CYLANCE
14.3.2 THREATMETRIX
14.3.3 SECURONIX
14.3.4 SIFT SCIENCE
14.3.5 ACALVIO TECHNOLOGIES
14.3.6 DARKTRACE
14.3.7 SPARKCONGNITION
14.3.8 FORTINET
14.3.9 CHECK POINT SOFTWARE TECHNOLOGIES
14.3.10 HIGH-TECH BRIDGE
14.3.11 DEEP INSTINCT
14.3.12 SENTINELONE
14.3.13 FEEDZAI
14.3.14 VECTRA
14.3.15 ZIMPERIUM
14.3.16 ARGUS CYBER SECURITY
14.3.17 NOZOMI NETWORKS
14.3.18 BITSIGHT TECHNOLOGIES
14.4 ANTIVIRUS COMPANIES
14.4.1 KASPERSKY LAB
14.4.2 BITDEFENDER
14.4.3 ESET
*Details on Business overview, Products offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.2.2 COMPANY: INCLUSIONS AND EXCLUSIONS
1.2.3 OFFERING: INCLUSIONS AND EXCLUSIONS
1.2.4 DEPLOYMENT TYPE: INCLUSIONS AND EXCLUSIONS
1.2.5 SECURITY TYPE: INCLUSIONS AND EXCLUSIONS
1.2.6 TECHNOLOGY: INCLUSIONS AND EXCLUSIONS
1.2.7 APPLICATION: INCLUSIONS AND EXCLUSIONS
1.2.8 END USER: INCLUSIONS AND EXCLUSIONS
1.2.9 REGION: INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
FIGURE 1 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SEGMENTATION
1.3.2 REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 1 CURRENCY CONVERSION RATES
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: RESEARCH DESIGN
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
FIGURE 3 PROCESS FLOW OF MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
FIGURE 4 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE)?REVENUE GENERATED BY KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
FIGURE 6 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.4.1 LIMITATIONS
FIGURE 8 RESEARCH LIMITATIONS
2.5 RISK ASSESSMENT
TABLE 2 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
FIGURE 9 SOFTWARE TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY DURING 2023–2028
FIGURE 10 CLOUD-BASED DEPLOYMENT OF AI IN CYBERSECURITY TO GROW AT HIGHER CAGR DURING 2023–2028
FIGURE 11 CLOUD SECURITY IN AI IN CYBERSECURITY MARKET TO GROW AT HIGHEST CAGR DURING 2023–2028
FIGURE 12 ENTERPRISE TO DOMINATE ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN 2022
FIGURE 13 NORTH AMERICA TO HOLD LARGEST MARKET SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY DURING 2023–2028
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
FIGURE 14 ASIA PACIFIC TO GROW AT HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET DURING 2023–2028
4.2 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY
FIGURE 15 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING TO GROW AT HIGHEST CAGR FROM 2023?2028
4.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION
FIGURE 16 IDENTITY AND ACCESS MANAGEMENT TO HOLD LARGEST SIZE DURING FORECAST PERIOD
4.4 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC, BY APPLICATION AND COUNTRY
FIGURE 17 CHINA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC
4.5 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY
FIGURE 18 MARKET IN CHINA TO GROW AT HIGHEST CAGR FROM 2023 TO 2028
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 19 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY 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
FIGURE 20 US: NUMBER OF CYBERATTACKS, 2015–2021
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
5.2.3.3 Zero trust framework providing advanced security
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
5.2.4.3 Shortcomings of AI
5.3 TECHNOLOGY ANALYSIS
5.3.1 DEEP LEARNING
5.3.2 MACHINE LEARNING
5.3.3 USER AND ENTITY BEHAVIOR ANALYTICS (UEBA)
5.3.4 TOKENIZATION
5.3.5 BLOCKCHAIN
5.4 PORTER'S FIVE FORCES ANALYSIS
TABLE 3 IMPACT OF PORTER'S FIVE FORCES
5.4.1 THREAT OF NEW ENTRANTS
5.4.2 THREAT OF SUBSTITUTES
5.4.3 BARGAINING POWER OF SUPPLIERS
5.4.4 BARGAINING POWER OF BUYERS
5.4.5 INTENSITY OF COMPETITIVE RIVALRY
5.5 TRADE DATA
TABLE 4 EXPORTS DATA FOR PRODUCTS UNDER HS CODE 8471, BY COUNTRY, 2017–2021 (USD MILLION)
TABLE 5 IMPORTS DATA FOR PRODUCTS UNDER HS CODE 8471, BY COUNTRY, 2017–2021 (USD MILLION)
5.6 REGULATORY IMPLICATIONS
5.6.1 GENERAL DATA PROTECTION REGULATION
5.6.2 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
5.6.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
5.6.4 FEDERAL INFORMATION SECURITY MANAGEMENT ACT
5.6.5 GRAMM-LEACH-BLILEY ACT
5.6.6 SARBANES-OXLEY ACT
5.6.7 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001
5.6.8 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7 KEY STAKEHOLDERS AND BUYING PROCESS
5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
TABLE 10 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
5.7.2 BUYING CRITERIA
FIGURE 22 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 11 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
5.8 CASE STUDY ANALYSIS
5.8.1 CARGILLS BANK IMPLEMENTS IBM QRADAR SIEM
5.8.2 INFOSYS IMPLEMENTS INFRASTRUCTURE SECURITY ENDPOINT MANAGEMENT (ISEM) FOR INVESTMENT GIANT
5.8.3 SIEMENS USES AMAZON WEB SERVICES (AWS) TO BUILD DATA ANALYTICS PLATFORM
5.8.4 INFOSYS CREATES UNIFIED DATA LOSS PREVENTION PLATFORM USING GCP (GOOGLE CLOUD PLATFORM)
5.9 KEY CONFERENCES AND EVENTS, 2022–2023
TABLE 12 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: KEY CONFERENCES AND EVENTS, 2022-2032
5.10 REVENUE SHIFT AND NEW REVENUE POCKETS FOR CUSTOMERS' BUSINESSES
FIGURE 23 REVENUE SHIFT IN AI IN CYBERSECURITY MARKET
5.11 ECOSYSTEM ANALYSIS
TABLE 13 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: ECOSYSTEM
FIGURE 24 KEY PLAYERS IN ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ECOSYSTEM
5.12 VALUE CHAIN ANALYSIS
FIGURE 25 VALUE CHAIN ANALYSIS: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET
5.12.1 RESEARCH, DESIGN, AND DEVELOPMENT
5.12.2 COMPONENT PROVIDERS
5.12.3 SYSTEM INTEGRATORS
5.12.4 MARKETING AND SALES EXECUTIVES
5.12.5 END USER INDUSTRIES
5.12.6 SERVICE PROVIDERS
5.13 PATENT ANALYSIS
TABLE 14 IMPORTANT PATENT REGISTRATIONS, 2017–2021
FIGURE 26 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
FIGURE 27 ANNUAL NUMBER OF PATENTS GRANTED OVER LAST FIVE YEARS
TABLE 15 TOP 10 PATENT OWNERS
5.14 PRICING ANALYSIS
FIGURE 28 PRICING BY KEY PLAYERS
FIGURE 29 AVERAGE SELLING PRICING
6 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING
6.1 INTRODUCTION
FIGURE 30 SOFTWARE TO DOMINATE AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD
TABLE 16 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 17 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 HARDWARE
TABLE 18 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HARDWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 19 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HARDWARE, BY REGION, 2023–2028 (USD MILLION)
TABLE 20 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
TABLE 21 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
6.2.1 PROCESSORS
TABLE 22 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR PROCESSORS, BY TYPE, 2019–2022 (USD MILLION)
TABLE 23 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR PROCESSORS, BY TYPE, 2023–2028 (USD MILLION)
6.2.1.1 MPU
6.2.1.1.1 Performs arithmetic and logic operations that use registers
6.2.1.2 GPU
6.2.1.2.1 Rapidly manipulates and alters memory to accelerate image creation
6.2.1.3 FPGA
6.2.1.3.1 Enables rapid prototyping, shorter time-to-market, reprogram ability, and longevity
6.2.1.4 ASIC
6.2.1.4.1 Affordable and enables improved performance
6.2.2 MEMORY
6.2.2.1 Memory solutions help store large volume of data
6.2.3 NETWORK
6.2.3.1 High-bandwidth networks enable ultrafast communication between CPU and GPU
6.3 SOFTWARE
TABLE 24 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 25 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY REGION, 2023–2028 (USD MILLION)
FIGURE 31 AI PLATFORM TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 26 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY TYPE, 2019–2022 (USD MILLION)
TABLE 27 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SOFTWARE, BY TYPE, 2023–2028 (USD MILLION)
6.3.1 AI SOLUTIONS
6.3.1.1 Advancements in AI solutions boosting market growth
6.3.2 AI PLATFORM
6.3.2.1 AI platforms are used to develop learning algorithms and intelligent applications
TABLE 28 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AI PLATFORM, BY TYPE, 2019–2022 (USD MILLION)
TABLE 29 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AI PLATFORM, BY TYPE, 2023–2028 (USD MILLION)
6.3.2.2 Application Program Interface (API)
6.3.2.2.1 Easily develops program by providing all building blocks
6.3.2.3 Machine learning framework
6.3.2.3.1 Enables developers to create machine learning models and algorithms
6.4 SERVICES
TABLE 30 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY REGION, 2019–2022 (USD MILLION)
TABLE 31 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY REGION, 2023–2028 (USD MILLION)
TABLE 32 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY TYPE, 2019–2022 (USD MILLION)
TABLE 33 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SERVICES, BY TYPE, 2023–2028 (USD MILLION)
6.4.1 DEPLOYMENT & INTEGRATION
6.4.1.1 Required for configuration of AI systems
6.4.2 SUPPORT & MAINTENANCE
6.4.2.1 Help in maintaining acceptable standards of systems
7 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE
7.1 INTRODUCTION
FIGURE 32 CLOUD-BASED DEPLOYMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 34 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 35 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
7.2 CLOUD
7.2.1 COST-EFFECTIVENESS OF CLOUD-BASED SOLUTIONS TO BOOST MARKET
TABLE 36 CLOUD: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 37 CLOUD: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
7.3 ON-PREMISE
7.3.1 FULL CONTROL OF PLATFORMS, APPLICATIONS, SYSTEMS, AND DATA TO DRIVE MARKET
TABLE 38 ON-PREMISE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 39 ON-PREMISE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
8 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE
8.1 INTRODUCTION
FIGURE 33 CLOUD SECURITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 40 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 41 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
8.2 NETWORK SECURITY
8.2.1 HELPS TO PROTECT DATA FROM NUMEROUS THREATS
TABLE 42 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NETWORK SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 43 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NETWORK SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.3 ENDPOINT SECURITY
8.3.1 PROVIDES REAL-TIME THREAT DETECTION, PREVENTION, AND RESPONSE TO NETWORK DEVICES
TABLE 44 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENDPOINT SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENDPOINT SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.4 APPLICATION SECURITY
8.4.1 ENABLES ENTERPRISES TO SECURE BUSINESS-SENSITIVE APPLICATIONS
FIGURE 34 APPLICATION SECURITY IN ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 46 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 47 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR APPLICATION SECURITY, BY REGION, 2023–2028 (USD MILLION)
8.5 CLOUD SECURITY
8.5.1 PROVIDES COMPLETE THREAT PROTECTION AGAINST RANSOMWARE, INTERNAL EMAIL RISKS, AND FILE-SHARING RISKS
TABLE 48 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD SECURITY, BY REGION, 2019–2022 (USD MILLION)
TABLE 49 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CLOUD SECURITY, BY REGION, 2023–2028(USD MILLION)
9 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
FIGURE 35 MACHINE LEARNING TO LEAD AI IN CYBERSECURITY MARKET DURING FORECAST PERIOD
TABLE 50 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 51 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
9.2 MACHINE LEARNING
9.2.1 MACHINE LEARNING HELP BUSINESSES DEAL WITH LARGE VOLUMES OF DATA
TABLE 52 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY REGION, 2019–2022 (USD MILLION)
TABLE 53 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY REGION, 2023–2028 (USD MILLION)
TABLE 54 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY TYPE, 2019–2022 (USD MILLION)
TABLE 55 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MACHINE LEARNING, BY TYPE, 2023–2028 (USD MILLION)
9.2.2 DEEP LEARNING
9.2.2.1 Growing application of deep learning algorithms
9.2.3 SUPERVISED LEARNING
9.2.3.1 Classification and regression ? major segments of supervised learning
9.2.4 UNSUPERVISED LEARNING
9.2.4.1 Includes clustering methods consisting of algorithms with unlabeled training data
9.2.5 REINFORCEMENT LEARNING
9.2.5.1 Allows systems and software to determine ideal behavior to maximize performance
9.2.6 OTHERS
9.3 NATURAL LANGUAGE PROCESSING
9.3.1 REAL-TIME TRANSLATION AND DEVELOPMENT OF SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES
TABLE 56 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2019–2022 (USD MILLION)
TABLE 57 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2023–2028 (USD MILLION)
FIGURE 36 CLASSIFICATION & CATEGORIZATION IN NLP TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 58 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2019–2022 (USD MILLION)
TABLE 59 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR NATURAL LANGUAGE PROCESSING, BY PROCESS, 2023–2028 (USD MILLION)
9.4 CONTEXT-AWARE COMPUTING
9.4.1 DEVELOPMENT OF SOPHISTICATED HARD AND SOFT SENSORS
TABLE 60 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2019–2022 (USD MILLION)
TABLE 61 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY REGION, 2023–2028 (USD MILLION)
TABLE 62 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY PROCESS, 2019–2022 (USD MILLION)
TABLE 63 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR CONTEXT-AWARE COMPUTING, BY PROCESS, 2023–2028 (USD MILLION)
10 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION
10.1 INTRODUCTION
FIGURE 37 IDENTITY & ACCESS MANAGEMENT TO HOLD LARGEST SHARE OF MARKET DURING FORECAST PERIOD
TABLE 64 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 65 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.2 IDENTITY & ACCESS MANAGEMENT
10.2.1 INCREASING THREAT OF DATA BREACHES DUE TO INSIDER ATTACKS
TABLE 66 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR IDENTITY & ACCESS MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 67 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR IDENTITY & ACCESS MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.3 RISK & COMPLIANCE MANAGEMENT
10.3.1 GROWING NEED FOR INTERNAL AUDIT FEATURES AND REGULATORY COMPLIANCE MANDATES
TABLE 68 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RISK & COMPLIANCE MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 69 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RISK & COMPLIANCE MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.4 DATA LOSS PREVENTION
10.4.1 STRICT IMPLEMENTATION OF GOVERNMENT REGULATIONS AND LAWS
TABLE 70 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR DATA LOSS PREVENTION, BY REGION, 2019–2022 (USD MILLION)
TABLE 71 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR DATA LOSS PREVENTION, BY REGION, 2023–2028 (USD MILLION)
10.5 UNIFIED THREAT MANAGEMENT
10.5.1 PROVIDES MULTIPLE SECURITY FUNCTIONS TO PROTECT ENTERPRISES FROM EVOLVING CYBER THREATS
TABLE 72 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR UNIFIED THREAT MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR UNIFIED THREAT MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.6 SECURITY & VULNERABILITY MANAGEMENT
10.6.1 EXPANDING VOLUME OF DATA AND RISING ADOPTION OF BYOD TREND
TABLE 74 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SECURITY & VULNERABILITY MANAGEMENT, BY REGION, 2019–2022 (USD MILLION)
TABLE 75 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR SECURITY & VULNERABILITY MANAGEMENT, BY REGION, 2023–2028 (USD MILLION)
10.7 ANTIVIRUS/ANTIMALWARE
10.7.1 RISING NUMBER OF MALWARE AND VIRUS ATTACKS
TABLE 76 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ANTIVIRUS/ANTIMALWARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 77 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ANTIVIRUS/ANTIMALWARE, BY REGION, 2023–2028 (USD MILLION)
10.8 FRAUD DETECTION/ANTIFRAUD
10.8.1 NEED FOR ROBUST INFRASTRUCTURE WITH HIGH-PERFORMANCE COMPUTING AND SCALABILITY
TABLE 78 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR FRAUD DETECTION/ ANTIFRAUD, BY REGION, 2019–2022 (USD MILLION)
TABLE 79 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR FRAUD DETECTION/ ANTIFRAUD, BY REGION, 2023–2028 (USD MILLION)
10.9 INTRUSION DETECTION/PREVENTION SYSTEM
10.9.1 MONITORS NETWORK ACROSS ENTERPRISES FOR SUSPICIOUS ACTIVITY
TABLE 80 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INTRUSION DETECTION/PREVENTION SYSTEM, BY REGION, 2019–2022 (USD MILLION)
TABLE 81 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INTRUSION DETECTION/PREVENTION SYSTEM, BY REGION, 2023–2028 (USD MILLION)
10.10 THREAT INTELLIGENCE/DETECTION
10.10.1 PREDICTS CYBER THREATS IN ADVANCE
TABLE 82 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR THREAT INTELLIGENCE, BY REGION, 2019–2022 (USD MILLION)
TABLE 83 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR THREAT INTELLIGENCE, BY REGION, 2023–2028 (USD MILLION)
10.11 OTHERS
TABLE 84 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER APPLICATIONS, BY REGION, 2019–2022 (USD MILLION)
TABLE 85 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER APPLICATIONS, BY REGION, 2023–2028 (USD MILLION)
11 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER
11.1 INTRODUCTION
FIGURE 38 AUTOMOTIVE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 86 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 87 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY END USER, 2023–2028 (USD MILLION)
11.2 BFSI
11.2.1 INCREASED INSTANCES OF CYBER-ATTACKS IN FINANCIAL VERTICAL
TABLE 88 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR BFSI, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR BFSI, BY REGION, 2023–2028 (USD MILLION)
11.3 RETAIL
11.3.1 LARGE NUMBER OF MONETARY TRANSACTIONS AND EXPANDING CONSUMER BASE
TABLE 90 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RETAIL, BY REGION, 2019–2022 (USD MILLION)
TABLE 91 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR RETAIL, BY REGION, 2023–2028 (USD MILLION)
11.4 GOVERNMENT & DEFENSE
11.4.1 INCREASED SPENDING ON AI-BASED CYBERSECURITY SOLUTIONS
TABLE 92 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR GOVERNMENT & DEFENSE, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR GOVERNMENT & DEFENSE, BY REGION, 2023–2028 (USD MILLION)
11.5 MANUFACTURING
11.5.1 HUGE INVESTMENTS IN INDUSTRY FOR AUTOMATION
TABLE 94 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MANUFACTURING, BY REGION, 2019–2022 (USD MILLION)
TABLE 95 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR MANUFACTURING, BY REGION, 2023–2028 (USD MILLION)
11.6 INFRASTRUCTURE
11.6.1 GROWING FOCUS ON SMART INFRASTRUCTURE
TABLE 96 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INFRASTRUCTURE, BY REGION, 2019–2022 (USD MILLION)
TABLE 97 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR INFRASTRUCTURE, BY REGION, 2023–2028 (USD MILLION)
11.7 ENTERPRISE
11.7.1 RAPID TECHNOLOGICAL ADVANCEMENTS IN IOT, CLOUD, AND TELECOM CONNECTIVITY
FIGURE 39 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD IN ENTERPRISE SEGMENT
TABLE 98 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENTERPRISE, BY REGION, 2019–2022 (USD MILLION)
TABLE 99 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR ENTERPRISE, BY REGION, 2023–2028 (USD MILLION)
11.8 HEALTHCARE
11.8.1 INCREASING NUMBER OF DATA BREACHES AND COMPROMISED ELECTRONIC HEALTHCARE RECORDS
TABLE 100 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HEALTHCARE, BY REGION, 2019–2022 (USD MILLION)
TABLE 101 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR HEALTHCARE, BY REGION, 2023–2028 (USD MILLION)
11.9 AUTOMOTIVE
11.9.1 INCREASING CYBERATTACKS DUE TO RISING NUMBER OF CONNECTED AND AUTONOMOUS CARS
TABLE 102 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AUTOMOTIVE, BY REGION, 2019–2022 (USD MILLION)
TABLE 103 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR AUTOMOTIVE, BY REGION, 2023–2028 (USD MILLION)
11.10 OTHERS
TABLE 104 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER END USERS, BY REGION, 2019–2022 (USD MILLION)
TABLE 105 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET FOR OTHER END USERS, BY REGION, 2023–2028 (USD MILLION)
12 REGIONAL ANALYSIS
12.1 INTRODUCTION
FIGURE 40 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC TO GROW AT HIGHEST CAGR FROM 2023?2028
TABLE 106 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 107 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
12.2 NORTH AMERICA
FIGURE 41 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 108 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 109 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 110 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 111 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 112 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 113 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 114 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 115 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
12.2.1 US
12.2.1.1 Rapid growth in technological innovations and increased use of internet
12.2.2 CANADA
12.2.2.1 Investment in modern technologies to drive market
12.2.3 MEXICO
12.2.3.1 Increasing connectivity to boost market
12.3 EUROPE
FIGURE 42 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 116 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 117 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028(USD MILLION)
TABLE 118 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 119 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 120 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 121 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 122 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 123 EUROPE: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028(USD MILLION)
12.3.1 GERMANY
12.3.1.1 Increasing number of ransomware, spyware, and reconnaissance to fuel market
12.3.2 UK
12.3.2.1 Threat to IT, telecom, and financial sectors to increase demand for cybersecurity
12.3.3 FRANCE
12.3.3.1 Market growth attributed to increasing adoption of AI cybersecurity 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 to provide opportunities
12.3.5 SPAIN
12.3.5.1 Private and public sector companies’ initiatives to adopt AI in cybersecurity to fuel market
12.3.6 REST OF EUROPE
12.4 ASIA PACIFIC
FIGURE 43 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SNAPSHOT
TABLE 124 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 125 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 126 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 127 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 128 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET IN ASIA PACIFIC, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 129 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 130 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 131 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
12.4.1 CHINA
12.4.1.1 Increased instances of virus, worm, spyware, trojan, and ransomware attacks to drive market
12.4.2 JAPAN
12.4.2.1 Significant number of ICT users to drive market
12.4.3 SOUTH KOREA
12.4.3.1 Government initiatives to enhance cybersecurity driving market growth
12.4.4 INDIA
12.4.4.1 Participation of SMEs and large enterprises
12.4.5 REST OF ASIA PACIFIC
12.5 REST OF THE WORLD
TABLE 132 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 133 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 134 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019–2022 (USD MILLION)
TABLE 135 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2023–2028 (USD MILLION)
TABLE 136 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 137 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 138 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 139 ROW: ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET, BY REGION, 2023–2028 (USD MILLION)
12.5.1 MIDDLE EAST AND AFRICA
12.5.1.1 Demand to protect critical infrastructure and industrial assets to aid market growth
12.5.2 SOUTH AMERICA
12.5.2.1 Service-specific attacks, malware, phishing, DDoS, and reconnaissance are major threat vectors
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
TABLE 140 COMPANIES ADOPTED ACQUISITIONS AND PARTNERSHIPS AS KEY GROWTH STRATEGIES FROM 2019?2022
13.2 MARKET SHARE ANALYSIS
TABLE 141 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEGREE OF COMPETITION FOR SOFTWARE 2022
TABLE 142 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS FOR SOFTWARE 2022
FIGURE 44 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SHARE ANALYSIS FOR SOFTWARE (2022)
TABLE 143 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEGREE OF COMPETITION FOR HARDWARE 2022
TABLE 144 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: RANKING ANALYSIS FOR HARDWARE 2022
FIGURE 45 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET SHARE ANALYSIS FOR HARDWARE (2022)
13.3 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: REVENUE ANALYSIS, 2017–2021
FIGURE 46 FIVE-YEAR REVENUE SNAPSHOT OF KEY HARDWARE COMPANIES
FIGURE 47 THREE-YEAR REVENUE SNAPSHOT OF KEY SOFTWARE COMPANIES
13.4 COMPANY EVALUATION QUADRANT, 2022
13.4.1 STARS
13.4.2 PERVASIVE PLAYERS
13.4.3 EMERGING LEADERS
13.4.4 PARTICIPANTS
FIGURE 48 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: GLOBAL COMPANY EVALUATION QUADRANT, 2022
13.5 COMPETITIVE BENCHMARKING
13.5.1 PRODUCT FOOTPRINT (12 COMPANIES)
TABLE 145 SECURITY TYPE: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 146 DEPLOYMENT TYPE: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 147 REGION: COMPANY FOOTPRINT (33 COMPANIES)
TABLE 148 OVERALL: COMPANY FOOTPRINT (33 COMPANIES)
13.6 STARTUP/SME EVALUATION QUADRANT, 2022
13.6.1 PROGRESSIVE COMPANIES
13.6.2 RESPONSIVE COMPANIES
13.6.3 DYNAMIC COMPANIES
13.6.4 STARTING BLOCKS
FIGURE 49 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: GLOBAL STARTUP/SME EVALUATION QUADRANT, 2022
13.7 COMPETITIVE SCENARIO AND TRENDS
13.7.1 PRODUCT LAUNCHES
TABLE 149 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: PRODUCT LAUNCHES, 2019–2022
13.7.2 DEALS
TABLE 150 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: DEALS, 2018–2022
TABLE 151 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY MARKET: KEY STARTUPS/SMES
14 COMPANY PROFILES
14.1 INTRODUCTION
(Business overview, Products offered, Recent Developments, MNM view)*
14.2 KEY PLAYERS
14.2.1 NVIDIA
TABLE 152 NVIDIA: BUSINESS OVERVIEW
FIGURE 50 NVIDIA: COMPANY SNAPSHOT
TABLE 153 NVIDIA: PRODUCTS OFFERED
TABLE 154 NVIDIA: PRODUCT LAUNCHES
TABLE 155 NVIDIA: DEALS
14.2.2 INTEL
TABLE 156 INTEL: BUSINESS OVERVIEW
FIGURE 51 INTEL: COMPANY SNAPSHOT
TABLE 157 INTEL: PRODUCTS OFFERED
TABLE 158 INTEL: PRODUCT LAUNCHES
TABLE 159 INTEL: DEALS
14.2.3 XILINX INC.
TABLE 160 XILINX INC.: BUSINESS OVERVIEW
FIGURE 52 XILINX INC.: COMPANY SNAPSHOT
TABLE 161 XILINX INC.: PRODUCTS OFFERED
TABLE 162 XILINX INC.: PRODUCT LAUNCHES
TABLE 163 XILINX INC.: DEALS
14.2.4 SAMSUNG ELECTRONICS CO., LTD
TABLE 164 SAMSUNG ELECTRONICS CO., LTD: BUSINESS OVERVIEW
FIGURE 53 SAMSUNG ELECTRONICS CO., LTD: COMPANY SNAPSHOT
TABLE 165 SAMSUNG ELECTRONICS CO., LTD: PRODUCTS OFFERED
TABLE 166 SAMSUNG ELECTRONICS CO., LTD: PRODUCT LAUNCHES
TABLE 167 SAMSUNG ELECTRONICS CO., LTD: DEALS
14.2.5 MICRON TECHNOLOGY
TABLE 168 MICRON TECHNOLOGY: BUSINESS OVERVIEW
FIGURE 54 MICRON TECHNOLOGY: COMPANY SNAPSHOT
TABLE 169 MICRON TECHNOLOGY: PRODUCTS OFFERED
TABLE 170 MICRON TECHNOLOGY: PRODUCT LAUNCHES
TABLE 171 MICRON TECHNOLOGY: DEALS
14.2.6 INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
FIGURE 55 IBM: COMPANY SNAPSHOT
TABLE 172 IBM: BUSINESS OVERVIEW
TABLE 173 IBM: PRODUCTS OFFERED
TABLE 174 IBM: PRODUCT LAUNCHES
TABLE 175 IBM: DEALS
14.2.7 AMAZON WEB SERVICES (AWS)
TABLE 176 AMAZON WEB SERVICES: BUSINESS OVERVIEW
FIGURE 56 AMAZON WEB SERVICES: COMPANY SNAPSHOT
TABLE 177 AMAZON WEB SERVICES: PRODUCTS OFFERED
TABLE 178 AMAZON WEB SERVICES: PRODUCT LAUNCHES
TABLE 179 AMAZON WEB SERVICES: DEALS
14.2.8 MICROSOFT CORPORATION
TABLE 180 MICROSOFT CORPORATION: BUSINESS OVERVIEW
FIGURE 57 MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 181 MICROSOFT CORPORATION: PRODUCTS OFFERED
TABLE 182 MICROSOFT CORPORATION: PRODUCT LAUNCHES
TABLE 183 MICROSOFT CORPORATION: DEALS
14.2.9 PALO ALTO NETWORKS
TABLE 184 PALO ALTO NETWORKS: BUSINESS OVERVIEW
FIGURE 58 PALO ALTO NETWORKS: COMPANY SNAPSHOT
TABLE 185 PALO ALTO NETWORKS: PRODUCTS OFFERED
TABLE 186 PALO ALTO NETWORKS: PRODUCT LAUNCHES
TABLE 187 PALO ALTO NETWORKS: DEALS
14.2.10 TRELLIX
TABLE 188 TRELLIX: BUSINESS OVERVIEW
TABLE 189 TRELLIX: PRODUCTS OFFERED
TABLE 190 TRELLIX: PRODUCT LAUNCHES
14.2.11 CROWDSTRIKE
TABLE 191 CROWDSTRIKE: BUSINESS OVERVIEW
FIGURE 59 CROWDSTRIKE: COMPANY SNAPSHOT
TABLE 192 CROWDSTRIKE: PRODUCTS OFFERED
TABLE 193 CROWDSTRIKE: PRODUCT LAUNCHES
TABLE 194 CROWDSTRIKE: DEALS
14.2.12 NORTON LIFELOCK
TABLE 195 NORTON LIFELOCK: BUSINESS OVERVIEW
FIGURE 60 NORTON LIFELOCK: COMPANY SNAPSHOT
TABLE 196 NORTON LIFELOCK: PRODUCTS OFFERED
TABLE 197 NORTON LIFELOCK: PRODUCT LAUNCHES
TABLE 198 NORTON LIFELOCK: DEALS
14.3 OTHER PLAYERS
14.3.1 CYLANCE
14.3.2 THREATMETRIX
14.3.3 SECURONIX
14.3.4 SIFT SCIENCE
14.3.5 ACALVIO TECHNOLOGIES
14.3.6 DARKTRACE
14.3.7 SPARKCONGNITION
14.3.8 FORTINET
14.3.9 CHECK POINT SOFTWARE TECHNOLOGIES
14.3.10 HIGH-TECH BRIDGE
14.3.11 DEEP INSTINCT
14.3.12 SENTINELONE
14.3.13 FEEDZAI
14.3.14 VECTRA
14.3.15 ZIMPERIUM
14.3.16 ARGUS CYBER SECURITY
14.3.17 NOZOMI NETWORKS
14.3.18 BITSIGHT TECHNOLOGIES
14.4 ANTIVIRUS COMPANIES
14.4.1 KASPERSKY LAB
14.4.2 BITDEFENDER
14.4.3 ESET
*Details on Business overview, Products offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
