Artificial Intelligence in Cybersecurity Market

Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User, and Geography- Global Forecast to 2026

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

The Artificial intelligence in cybersecurity market is projected to grow from USD 8.8 billion in 2019 to USD 38.2 Billion by 2026, at a CAGR of 23.3% from 2019 to 2026.

Cybersecurity is a set of processes and practices designed to safeguard endpoints, networks, applications, and data from advanced threats and vulnerabilities. Enterprises must adopt a set of security technologies, solutions, tools, policies, security concepts, guidelines, risk management approaches, and services to protect critical enterprise information and infrastructure from the growing volume and sophistication of cyberattacks. In such situations, AI in cybersecurity predicts outcomes based on past events. AI software identifies patterns and anomalies pertaining to past events, thereby identifying threats across a firm’s network, both on-premises and in the cloud, to mitigate further attacks.

Artificial Intelligence in Security Market

Artificial Intelligence in Security Market Forecast to 2026

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Artificial intelligence in cybersecurity has been prevalent across the retail sector as it is among the most targeted industries by cybercriminals. This is due to the potential payouts and many monetary transactions made via VISA, MasterCard, and other payment processing networks in this industry. Therefore, retailers are increasingly adopting comprehensive security solutions as data risk is present at all levels, from various transactions to the confidentiality of the personal information of customers and employees. The expanding customer base and growth of high-end technology in the retail sector are expected to support the growth of artificial intelligence in the cybersecurity market in the coming years.

Artificial Intelligence in Cybersecurity Market Dynamics:

Driver: Increasing deployment of IoT and connected devices across the globe

IoT utilizes embedded technology to offer new ways to empower business models. IoT is becoming a next-generation technology revolution, helping reduce business costs and improving employee productivity. IoT, a major technological innovation, creates new opportunities for cyber attackers. The proliferation of smart devices has opened avenues for cyber attackers’ malicious behavior in an enterprise’s network infrastructure. With the increase in instances and intensity of cyberattacks, the demand for cybersecurity would increase at an unprecedented rate due to the launch of IoT devices. Hence, the revenues of cybersecurity vendors would also rise at a high rate. IoT technology is mainly embedded in healthcare devices, smart home devices, vehicles, infrastructures, transports, and industrial systems.

Restraint: Rise in Insider Cyber Threats to Restraint the AI in Cybersecurity Market Growth

An insider of an organization can access the organization's assets, either physically or remotely. The insider can be an employee, vendor, business partner, or maintenance contractor who can access the physical data, such as hard copies of documents, electronic devices in the organization, and digital assets, such as digital media, data in transit, and other information resources. Insider attacks are rapidly increasing and causing data breaches in organizations.

Insider attackers steal or modify data for personal gains, steal trade secrets, and sell them to competitors. In addition, cybercriminals are targeting organization databases to access confidential information regarding intellectual property, patents, and copyrights. In healthcare and pharmaceutical organizations, insider attacks lead to the theft of patient's medical history or IT sabotage. Various industries are witnessing the shift from outsider attacks to insider attacks. AI in security is generally not used for detecting insider threats; therefore, rising insider threats are a restraint for this market.

Opportunity: Increasing Adoption of Social-Media for Business Functions to Fuel the Adoption of AI in Cybersecurity

Social media has become an integral part of everyone’s routine. It is becoming a matter of concern for organizations as security vulnerabilities in web, and mobile applications of social media are becoming the prime targets of cybercriminals. Attackers are using social media links of individuals to exploit the security gap and gain access to accounts. Also, they use one user's social media account details to hack another user’s account. Protecting ever-expanding social media data is becoming a key objective of organizations.

Businesses are mainly using social media platforms for marketing activities. Cybercriminals target social media accounts using malicious advertisements, fake links, and phishing, or redirect traffic from traffic distribution services. Thus, cybersecurity solutions are becoming popular to mitigate security threats in social media platforms and avoid data breaches. With the growing use of social media for business functions, the deployment of cybersecurity solutions is expected to increase in the coming years.

Challenge: Lack of Interoperability with Existing Information Systems

With technological advancements, such as IoT, enterprises face the challenge of interoperability with existing systems. In cybersecurity, interoperability is defined as the ability of the IT system and endpoint solutions to enable data communication and exchange and readily use the information to deliver security systems to individuals and businesses effectively. Various reasons lead to interoperability, which includes integration with devices from different manufacturers, devices from different batches, and operating systems support. Many associations and organizations are working toward resolving this issue. Interoperability remains the most significant security challenge as it is associated with the exchange of information. There is a need for a common platform to communicate between all the information security systems to deal with the current interoperability challenges.

Artificial Intelligence in Cybersecurity Market Segment Insights:

Artificial Intelligence in Security Market

Based on the Offering, the Software segment to hold a high market share from 2019 to 2026

Artificial intelligence in the cybersecurity market has been segmented based on offering into hardware, software, and services. The software segment is expected to hold a high market share over the forecast period. The growth in AI in the cybersecurity market for software can be attributed to the increasing incidents of security breaches targeting business applications, wherein hackers try to gain access to sensitive data. As data privacy policies and regulatory compliances have become strict, the demand for cybersecurity solutions using AI is expected to increase to cater to the growing challenges posed by cyber threats. Growing adoption of connected devices, the BYOD trend among organizations, and the high growth of the population using the Internet worldwide has resulted in the increasing use of cybersecurity solutions to mitigate potential risks. This is expected to support the software segment growth in the artificial intelligence in the cybersecurity market over the forecast period.

Based on Deployment Type, the Cloud segment registered the most significant share during the forecast timeframe

Based on deployment type, artificial intelligence in the cybersecurity market has been classified into cloud and on-premises. The cloud segment is projected to hold the largest size of artificial intelligence in the cybersecurity market from 2019 to 2026. Cloud deployment is gaining popularity among SMEs as it is cost-effective. Using cloud-based cybersecurity solutions, organizations can avoid costs related to hardware, software, storage, and technical staff. Cloud-based platforms offer a unified way to secure business applications via SaaS-based security services. These platforms are beneficial for organizations that have strict budgets for security investments. All these factors are expected to fuel the cloud deployment segment growth over the forecast timeframe.

Based on Security Type, the Endpoint Security segment accounts for the largest size of the market during the forecast period

Based on security type, artificial intelligence in the cybersecurity market is segmented into network, endpoint, application, and cloud security. Endpoint security will hold the largest share of the artificial intelligence in the cybersecurity market during the forecast period. Endpoint security refers to the security provided for network devices such as personal computers, laptops, smartphones, tablets, bar code readers, or Point of Sale (POS), which are the endpoints that are connected to a client-server. The increasing number of mobile devices has made networks more vulnerable to cyberattacks and malware. The trend of mobile workers, bring your own device (BYOD), social media, and cloud synchronizing tools drives the growth of the market for endpoint security.

Based on Technology, the Machine Learning segment registered the largest share during the forecast timeframe

Based on technology, artificial intelligence in the cybersecurity market has been classified into machine learning, natural language processing, and context-aware computing. The machine learning segment is projected to hold the largest size of artificial intelligence in the cybersecurity market from 2019 to 2026. Machine learning is adopted by businesses dealing with large volumes of data. The time previously dedicated to feeding data in charts and spreadsheets is now used to seek intelligent ways to automate data analysis. It helps systems to learn without being explicitly programmed. This technology can reliably and quickly scan, parse, and react to anomalies. Machine learning can also help operators reverse engineer attacks to improve their systems by addressing and preventing attacks. These intuitive factors will fuel the machine learning segment growth in the coming years.

Based on Application, the Risk & Compliance Management segment accounts for the largest size of the market during the forecast period

The risk & compliance management segment will hold the largest share of artificial intelligence in the cybersecurity market during the forecast period. The growth drivers of risk and compliance management solutions are growing need for internal audit features and regulatory compliance mandates with unprecedented pressure on strict adherence. AI can be used in risk management for fraud, customer credit, compliance, and market analysis. The ongoing development of AI-enabled risk and compliance management solutions and their higher adoption rate among the end users is expected to boost the segment growth over the forecast period.

Based on End-user, the Enterprise segment holds a high market share

During the forecast period, the enterprise segment will hold a high market share of the artificial intelligence in the cybersecurity market. The high volumes of data and complexity of IT infrastructure that enterprise companies manage and operate, expose them to major security challenges. As operators continue to modernize and adopt more innovative products and services, enterprises have become more vulnerable to attacks on their IT infrastructure. This is expected to fuel the adoption of artificial intelligence in cybersecurity across enterprises over the forecast timeframe.

Regional Insights:

The Asia Pacific region is projected to Grow at the highest CAGR during the forecast period

The growth of artificial intelligence in the cybersecurity market in Asia Pacific can be attributed to the due to rising concerns about the safety of essential government data and infrastructure. Major economies across Asia Pacific, including Japan, China, Australia, India, and South Korea, are vulnerable to cyberattacks. With increasing incidents of cyberattacks and growing cyber war in the region, organizations and governments are focusing on a robust defense infrastructure. In October 2022, the Defense Ministry of Japan announced to boost the country’s cyber defense personnel from 890 in FY2022 to 5,000 by FY2027. Such significant government initiatives are expected to drive the growth of artificial intelligence in the cybersecurity market across Asia Pacific.  

Artificial Intelligence in Security Marketby Region

Artificial Intelligence in Security Market by Region

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The North America region held a significant share of artificial intelligence in the cybersecurity market in 2019

Growing trends, such as the Industrial Internet of Things (IIoT), big data analytics, and BYOD, have brought tremendous growth in North America. However, the increasing uptake of these advanced technologies has triggered the rise in cyberattacks and added more complexities and concerns for enterprises. The increase in threats and vulnerabilities and government compliances have made North America the most lucrative market for different categories of vendors. The presence of tech-giants such as Microsoft Corporation (US), Intel Corporation (US), and Apple, Inc. (US) will further add growth opportunities to the artificial intelligence in the cybersecurity market across North America over the forecast timeline.

Key Market Players:

Some of the Major players in the artificial intelligence in cybersecurity market are Intel Corporation (US), NVIDIA Corporation (US), SAMSUNG (South Korea), Darktrace (UK), and Cylance Inc. (US). These players have adopted various growth strategies such as contracts, joint ventures, partnerships & agreements, acquisitions, and new product launches to further expand their presence in the artificial intelligence in the cybersecurity market.

Intel Corporation (US) enjoys a strong presence and has effectively defended its position in the AI in the cybersecurity market. The company has been dominating the market for microprocessors for several years now. Its dominant position ensures a sizeable addressable market and provides increased scale and related benefits. This also gives the company competitive advantages and allows it to effectively penetrate the adjacent markets. Intel’s competitive advantages include the combination of a network of manufacturing, assembly, and test facilities with global architecture design teams. This network gives the company more direct control over its processes, quality control, product cost, production timing, performance, power consumption, and manufacturing yield. The acquisition of companies such as Saffron Technology, Altera, Nervana Systems, Movidius, and Mobileye has further improved its AI product portfolio.

NVIDIA Corporation (US) is among the world leaders in the visual computing business. The company has a well-established geographic footprint and mainly deals with major OEMs/ODMs across the world. The company continues to lead in the development of new products for the AI/DL market. Jetson TX-2 for edge AI devices was one of the most prominent product launches by the company. NVIDIA makes substantial investments in R&D. This has resulted in its strong organic growth and robust market positioning in terms of hardware product development in the AI in the cybersecurity market.

Artificial Intelligence in Cybersecurity Market Report Scope:

Report Metric

Details

 Market Size Value in 2019  USD 8.8 Billion
 Revenue Forecast in 2026  USD 38.2 Billion
 Growth Rate  23.3%

 Market size available for years

 2019-2026

 Base year considered

 2018

 Forecast period

 2019–2026

 Forecast units

 Value, USD million/billion

 Segments covered

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

 Regions covered

  • North America,
  • Europe,
  • APAC,
  • RoW.

 Companies covered

  • NVIDIA Corporation (US),
  • Intel Corporation (US),
  • Xilinx Inc. (US),
  • Samsung Electronics Co., Ltd (South Korea),
  • Micron Technology, Inc. (US),
  • IBM Corporation (US),
  • Amazon Web Services, Inc. (US),
  • Darktrace (UK),
  • Cylance Inc. (US),
  • Vectra AI, Inc. (US),
  • ThreatMetrix Inc. (US),
  • Securonix Inc. (US),
  •  Sift Science (US),
  • Acalvio Technologies (US),
  • SparkCognition Inc. (US),
  • Palo Alto Networks Inc. (US), and
  • Symantec Corporation (US) are a few major players in the AI in cybersecurity market.
 Key Market Driver  Increasing Deployment of IOT and Connected Devices
 Largest Growing Region  North America
 Largest Market Share Segment  Software Segment
 Highest CAGR Segment  Government Data And Infrastructure

AI in cybersecurity market segmentation:

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

AI in cybersecurity market, by offering:

  • Hardware
  • Software
  • Service

AI in cybersecurity market, by deployment type:

  • Cloud
  • On-Premise

AI in cybersecurity market, by security type:

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

AI in cybersecurity market, by technology:

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

AI in cybersecurity market, by application:

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

AI in cybersecurity market, by end user:

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

AI in cybersecurity market, by region:

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

Artificial Intelligence in Security Market Highlights:

Artificial Intelligence in Security Market by Highlights

 What is new?

  • AI in cybersecurity market players are expected to focus on the government & defense end-user segment of AI in the cybersecurity market in coming years.

Cybercriminals worldwide target the government sector as it holds critical information about the respective country. Moreover, as organizations are shifting toward real-time communication, peer-to-peer traffic, threats from web browsing, email correspondence, and the exchange of files have considerably increased. Several IT leaders believe governments should be involved to help the public and private sectors set cybersecurity strategies. Antimalware gateways, next-generation firewalls, intrusion prevention systems, and endpoint security applications help protect data from existing threats; however, attackers innovate many techniques to bypass security solutions to access confidential data. Therefore, protecting data and applications is crucial for the government & defense sector.

  • Addition/refinement in segmentation–Increase in depth or width of segmentation of the market.
  • Artificial Intelligence in Cybersecurity Market by Offering
    • Hardware
      • Processor
        • MPU
        • GPU
        • FPGA
        • ASIC
      • Memory
      • Network
    • Software
      • AI Platform
        • Application Program Interface (API)
        • Machine Learning Framework
      • Solution
    • Services
      • Deployment & Integration
      • Support & Maintenance
  • Artificial Intelligence in Cybersecurity Market, by Deployment Type
    • Cloud
    • On-Premise
  • Artificial Intelligence in Cybersecurity Market, by Technology
    • Machine Learning
      • Deep Learning
      • Supervised
      • Unsupervised
      • Reinforcement Learning
      • Others
    • Natural Language Processing
    • Context-Aware Computing
  • Artificial Intelligence in Cybersecurity Market, by Application
    • Identity & Access Management
    • Risk & Compliance Management
    • Data Loss Prevention
    • Unified Threat Management
    • Security & Vulnerability Management
    • Antivirus/Antimalware
    • Fraud Detection/
    • Anti-Fraud
    • Intrusion Detection/Prevention System
    • Threat Intelligence
    • Others
  • Artificial Intelligence in Cybersecurity Market, by End User
    • BFSI
    • Retail
    • Government & Defense
    • Manufacturing
    • Infrastructure
    • Enterprise
    • Healthcare
    • Automotive & Transportation
    • Others
  • Artificial Intelligence in Cybersecurity Market, by Region
    • North America
    • Europe
    • Asia Pacific
    • Rest of the World (RoW)
    • Coverage of new market players and change in the market share of existing players of the AI in cybersecurity market.

    Company profiles: Company profiles give a glimpse of the key players in the market with respect to their business overviews, financials, product offerings, recent developments undertaken by them, and MnM view. In the new edition of the report, we have a total of 34 players (21 key players, 9 other important players, and 4 Antivirus Companies).

    • Updated financial information and product portfolios of players operating in the AI in cybersecurity market.

    Newer and improved representation of financial information: The latest edition of the report provides updated financial information in the context of AI in the cybersecurity market till 2017/2019 for each listed company in the graphical representation in a single diagram (instead of multiple tables). This would help to easily analyze the present status of profiled companies in terms of their financial strength, profitability, key revenue-generating region/country, business segment focus in terms of the highest revenue-generating segment and investment on research and development activities.

    • Updated market developments of the profiled players.

    Recent Developments: Updated market developments such as contracts, joint ventures, partnerships & agreements, acquisitions, new service launches, new product launches, investments, funding, and certification have been mapped for the years 2017 to 2019. For instance, in February 2019, Palo Alto Networks (US) announced the acquisition of Demisto, a leading security company in the security orchestration, automation, and response (SOAR) space. Under the terms of the agreement, Palo Alto Networks will acquire Demisto for a total purchase price of USD 560 million, subject to adjustment, to be paid in cash and stock.

    Recent Developments

    • In September 2022, NVIDIA Corporation (US) and Booz Allen Hamilton (US) announced an expanded collaboration to bring an AI-enabled, GPU-accelerated cybersecurity platform to customers in the public and private sectors. This strategic collaboration will help companies analyze massive amounts of data and pinpoint threats faster.
    • In August 2022, Avast (Czechia), a global cybersecurity firm, announced the launch of artificial intelligence (AI)-based software to block phishing attacks. The new software detects phishing websites by automatically checking a site’s URL for a suspicious token, domain meta information, and visual aspects of sites.
    • In August 2022, CornerstoneAI (US) announced a strategic partnership with Carahsoft Technology Corp. (US) to deliver AI data bias and cybersecurity solutions to federal government agencies.
    • In July 2022, Darktrace (UK) launched PREVENT, an interconnected set of AI products that deliver a proactive cyber security capability to help organizations pre-empt future cyber-attacks.

    Key Benefits of the Report/Reason to Buy:

    Target Audience:

    Frequently Asked Questions (FAQ):

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

  • Table of Contents

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

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

    3 Executive Summary (Page No. - 36)

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

    5 Market Overview (Page No. - 44)
        5.1 Introduction
        5.2 Market Dynamics
               5.2.1 Drivers
                        5.2.1.1 Growing Adoption of IoT and Increasing Number of Connected Devices
                        5.2.1.2 Increasing Instances of Cyber Threats
                        5.2.1.3 Rising Concerns of Data Protection
                        5.2.1.4 Increasing Vulnerability of Wi-Fi Networks to Security Threats
               5.2.2 Restraints
                        5.2.2.1 Inability of AI to Stop Zero-Day and Advanced Threats
                        5.2.2.2 Rise in Insider Cyber Threats
               5.2.3 Opportunities
                        5.2.3.1 Growing Need for Cloud-Based Security Solutions Among SMEs
                        5.2.3.2 Increasing Use of Social Media for Business Functions
               5.2.4 Challenges
                        5.2.4.1 Limited Number of Cybersecurity and AI Professionals
                        5.2.4.2 Lack of Interoperability With Existing Information Systems
        5.3 Regulatory Implications
               5.3.1 General Data Protection Regulation
               5.3.2 Payment Card Industry Data Security Standard
               5.3.3 Health Insurance Portability and Accountability Act
               5.3.4 Federal Information Security Management Act
               5.3.5 Gramm-Leach-Bliley Act
               5.3.6 Sarbanes-Oxley Act
               5.3.7 International Organization for Standardization 27001

    6 Artificial Intelligence in Cybersecurity Market, By Offering (Page No. - 52)
        6.1 Introduction
        6.2 Hardware
               6.2.1 Processors
                        6.2.1.1 Mpu
                                   6.2.1.1.1 Mpu to Hold Largest Share of AI in Cybersecurity Market for Processors
                        6.2.1.2 Gpu
                                   6.2.1.2.1 Gpu Expected to Grow at Highest Rate for AI in Cybersecurity
                        6.2.1.3 Fpga
                                   6.2.1.3.1 Advantages Such as Rapid Prototyping, Shorter Time-To-Market, Reprogram Ability, and Longevity to Drive Growth in This Segment
                        6.2.1.4 Asic
                                   6.2.1.4.1 High Affordability and Improved Performance are Key Advantages of Asic
               6.2.2 Memory
                        6.2.2.1 Memory to Grow at A Fastest Rate for AI in Cybersecurity
               6.2.3 Network
                        6.2.3.1 AI Based Networks Can Provide Faster, More Accurate Ways for Customers to Explore Products
        6.3 Software
               6.3.1 AI Solutions
                        6.3.1.1 AI Based Solutions Hold the Largest Market Share
               6.3.2 AI Platform
                        6.3.2.1 Application Program Interface (Api)
                                   6.3.2.1.1 an Api Provides A Platform for A Set of Routines and Tools for Building Software Applications
                        6.3.2.2 Machine Learning Framework
                                   6.3.2.2.1 Machine Learning Framework Expected to Grow at A Higher Rate
        6.4 Services
               6.4.1 Deployment & Integration
                        6.4.1.1 Deployment and Integration is A Key Service Required for Configuring AI Systems
               6.4.2 Support & Maintenance
                        6.4.2.1 Need for Regular Assistance During the Lifecycle of Solution Helps to Grow This Market

    7 Artificial Intelligence in Cybersecurity Market, By Deployment Type (Page No. - 62)
        7.1 Introduction
        7.2 Cloud
               7.2.1 Cost-Effectiveness of Cloud-Based Solutions is Driving Its Adoption
        7.3 On-Premise
               7.3.1 AI Based Cybersecurity Solution for On-Premise Enable Organizations to Control Platforms, Applications, Systems, and Data

    8 Artificial Intelligence in Cybersecurity Market, By Security Type (Page No. - 66)
        8.1 Introduction
        8.2 Network Security
               8.2.1 Helps to Protect Data From Numerous Threats, Including Sql Injection, Ddos Attack, and Cross-Site Scripting Attacks
        8.3 Endpoint Security
               8.3.1 Endpoint Security Expected to Be the Major Contributors of AI in Cybersecurity Market
        8.4 Application Security
               8.4.1 Application Security Expected to Grow at Fastest Rate
        8.5 Cloud Security
               8.5.1 Cloud Security Solution Provides Complete Threat Protection Against Ransomware, Internal Email Risks, and File Sharing Risks Drive Growth in This Segment

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

    10 Artificial Intelligence in Cybersecurity Market, By Application (Page No. - 82)
         10.1 Introduction
         10.2 Identity and Access Management
                 10.2.1 Increasing Threat of Data Breaches Due to Insider Attacks is Encouraging Organizations Leads to Adopt Iam Solution
         10.3 Risk and Compliance Management
                 10.3.1 Risk and Compliance Management Expected to Be A Major Contributor of AI Cybersecurity Market
         10.4 Data Loss Prevention
                 10.4.1 Data Loss Prevention Expected to Grow at the Highest Rate
         10.5 Unified Threat Management
                 10.5.1 Provides Multiple Security Functions to Protect Enterprises From Evolving Cyber Threats is the Key Advantage of Utm Promoting Market Growth
         10.6 Security and Vulnerability Management
                 10.6.1 Rapid Growth in Cybercrimes is Fueling the Adoption of This Solutions Among Global Enterprises
         10.7 Antivirus/Antimalware
                 10.7.1 for Endpoint Security Antivirus Expected to Be A Major Contributor
         10.8 Fraud Detection/Anti-Fraud
                 10.8.1 Need for A Robust Infrastructure With High-Performance Computing and Scalability Required to Identify Fraud in Real Time to Drive the Growth of the Fraud Detection
         10.9 Intrusion Detection/Prevention System
                 10.9.1 Monitors the Network Across Enterprises for Suspicious Activity and Provides an Alert When Such an Activity is Discovered- Key Factor Driving Growth
         10.10 Threat Intelligence
                 10.10.1 Predict Cyber Threats in Advance is the Major Advantage to Drive the Growth of the Threat Intelligence Segment
         10.11 Others

    11 Artificial Intelligence in Cybersecurity Market, By End User (Page No. - 95)
         11.1 Introduction
         11.2 BFSI
                 11.2.1 Increased Instances of Cyber-Attacks in the Financial Vertical Driving the Adoption of AI in Cybersecurity
         11.3 Retail
                 11.3.1 Increasing Adoption of AI in Cybersecurity Due to Expanding Customer Base and Growing Use of High-Tech
         11.4 Government & Defense
                 11.4.1 Increased Spending on AI Based Cybersecurity Solutions is Expected to Drive the Growth of the Market
         11.5 Manufacturing
                 11.5.1 Huge Investments in Industry for Automation Driving the Market for AI in Cybersecurity
         11.6 Infrastructure
                 11.6.1 Major Focus on Smart Infrastructure Increasing the Adoption of AI in Cybersecurity
         11.7 Enterprise
                 11.7.1 Rapid Technological Advancements in IoT, Cloud, Telecom Connectivity Driving the Demand for AI in Cybersecurity
         11.8 Healthcare
                 11.8.1 Increasing Number of Data Breaches and Compromised Electronic Healthcare Records Driving the Demand for AI in Cybersecurity
         11.9 Automotive & Transportation
                 11.9.1 Increasing Cyberattacks Due to Rising Number of Connected and Autonomous Cars are Driving the Market for AI in Cybersecurity
         11.10 Other

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

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

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

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


    List of Tables (68 Tables)

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


    List of Figures (46 Figures)

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

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

    Secondary Research

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

    Primary Research

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

    Artificial Intelligence in Security Market

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

    Market Size Estimation

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

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

    Data Triangulation

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

    Study Objectives

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

    Available Customizations:

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

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