Global AI In Cybersecurity Market

Global AI In Cybersecurity Market Size, Share, Growth Analysis, By Application(DLP, UTM), By Vertical(Retail, Government), By Offerings(Hardware, Software), By Type(Cloud Security, Network Security), By Technology(ML, NLP) - Industry Forecast 2023-2030


Report ID: SQMIG45F2068 | Region: Global | Published Date: February, 2024 | Pages: 265 | Tables: 149 | Figures: 78

Global AI In Cybersecurity Market Insights

AI In Cybersecurity Market size was valued at USD 13.29 billion in 2021 and is poised to grow from USD 16.52 billion in 2022 to USD 94.14 billion by 2030, growing at a CAGR of 24.3% in the forecast period (2023-2030).

AI In Cybersecurity is becoming popular since it has many advantages. It can help to identify unknown threats and can handle a lot of data. It also helps in battle vulnerability management, better overall security and duplicate process reduction.In today's online era each and every business are facing online threats .Therefore ai is the ideal cybersecurity solution for businesses looking to thrive online today.

Identification of unknown threats is necessary to prevent cyberattacks. This can't be done by the human mind because zero error is expected. Therefore,AI is used for effective mapping and stopping of unknown threats from ravaging a company.In every business loads of data is exchanged internally and externally that can be efficiently detected with the help of AI.One of the crucial factor to achieve data security is to have vulnerability management system.A research can help in vulnerability management by analyzing and assessing the existing security measures That will help companies to detect threats more easily.However, to install AI and integrated with cyber security, it will take companies and organizations substantial amount of resource and financial investments.Acquiring the data sets which AI systems are trained using can be time intensive and of higher investment which many organization can't afford.

US AI In Cybersecurity Market is poised to grow at a sustainable CAGR for the next forecast year.

Market snapshot - 2023-2030

Global Market Size

USD 13.29 billion

Largest Segment

Machine Learning

Fastest Growth

Machine Learning

Growth Rate

24.3% CAGR

Global AI In Cybersecurity Market ($ Bn)
Country Share for North America Region (%)
Global AI In Cybersecurity Market By Technology ($ Bn)
Global AI In Cybersecurity Market By Technology (%)

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Global AI In Cybersecurity Market Segmental Analysis

Global AI In Cybersecurity market is segmented on the basis of application, vertical, Technology, Offerings, types and region. By application, the market is segmented into DLP, UTM, IAM, Antivirus, IDP and others. By vertical, the market is segmented into Retail, Government, BFSI, IT, Healthcare and others. By type the market is segmented into Cloud Security, Network Security, Endpoint Security, Application Security. By offering the market is segmented into hardware, software and services. By technology the market is segmented into ML, NLP,Context-aware computing.By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

AI In Cybersecurity Market Analysis by Offerings

By offerings, the global market is divided into many segments such as Hardware, software and services. The Service segment held the largest global AI In Cybersecurity market share due to the wide range of benefits provided by it for AI In Cybersecurity. There are various services of artificial intelligence which cyber security requires,that includes learning methods, sensor data, speech and vision.Along with this, the hardware segment will see a speed up and improvement in this market due to the increase global prominence of networking solutions, processor and memory solutions.The development of hardware operations will lead to the expansion of software platform because it will require to strengthen the security capabilities.

AI In Cybersecurity Market Analysis by Technology

By Technology, the AI In Cybersecurity market is classified into Machine Learning, Natural Language Processing, Context-aware computing. The Machine learning segment is one of the main reasons for innovation and growth across all technology industries in the Cybersecurity market.Large businesses all across the world are using machine learning and deep learning to improve cyber security protocols,email filtering and to get free from threat detections.Automate monitoring, spot outliers and sort through the massive amounts of data produced by security technology is helping ML platforms to gain popularity.

Global AI In Cybersecurity Market By Technology, 2021 (%)

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Global AI In Cybersecurity Market Regional Insights

Globally, North America is estimated to hold the highest global AI In Cybersecurity market share followed by North America and Asia Pacific. Main factors during this growth period is the presence of top market players such as NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation and others.

Among all, Asia Pacific is expected to grow fastest during the forecast period. The reason for the same is increasing acquisition of AI In Cybersecurity technology in bigger organizations in the region of Asia Pacific and mainly in China and Japan. Penetration of Data threats & cyberattacks in Asia Pacific has doubled in the last few years. In addition, bigger organizations and startups are investing heavily in order to provide high data security services at an affordable price to the consumers, which is likely to boost the demand for AI In Cybersecurity in the region.

Global AI In Cybersecurity Market By Region, 2023-2030
  • Largest
  • Fastest

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Global AI In Cybersecurity Market Dynamics

AI In Cybersecurity Market Drivers

Increasing Data Threats to Boost demand for AI In Cybersecurity Market

  • The AI In Cybersecurity card is a type of key facilitator for Technological and data companies to be saved from newer cyber attacks and data threats.The endpoints, networks, data and other IT infrastructure of companies are attacked by cyber criminals that lead to a huge financial loss for individuals, enterprises and the governments.The sensitive data of organization and critical IT infrastructure are seriously damaged by cyber threats.Increase acceptance of online payments and rapid rise in digital transaction globally has led to the increasing frequency of cyber crimes.Technological advancement is helping AI to get developed in cyber security market. On the other hand, the advancements, automation and other sophistications are also accelerating the cyber attacks by helping cyber criminals.

AI In Cybersecurity Market Restraints

Increasing Sophisticated Zero-day of AI to Hinder Market Growth

  • There are various types of artificial intelligence and includes various algorithms that are machine learning, genetics algorithm, deep learning or neural networks.These all the algorithms.Harpist on the past malware and about the past features.Therefore, any unknown computer security is vulnerable to zero day threat.These zero day threats mainly includes advanced persistent threat, that is a network attack in which an unauthorized person gain access to network and stays undetected for long period of time.

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Global AI In Cybersecurity Market Competitive Landscape

Competition in the global AI In Cybersecurity market is expected to increase during the forecast period because new players are expected to enter the global market and the number of software and services compatible with AI In Cybersecurity will also increase. Currently, only a few key players are providing their services in the global market but these numbers will increase in the upcoming years.

AI In Cybersecurity Market Top Player’s Company Profiles

  • IBM Corporation
  • Microsoft Corporation
  • Cisco Systems, Inc.
  • Palo Alto Networks, Inc.
  • Fortinet, Inc.
  • Darktrace Ltd.
  • Amazon Web Services (AWS)
  • FireEye, Inc.
  • Check Point Software Technologies Ltd.
  • McAfee, LLC
  • Splunk Inc.
  • Symantec Corporation
  • Trend Micro, Inc.
  • F5 Networks, Inc.
  • Rapid7, Inc.
  • Exabeam, Inc.
  • Vectra AI, Inc.
  • SentinelOne, Inc.
  • Cybereason Inc.
  • Zscaler, Inc.

AI In Cybersecurity Market Recent Developments

  • In October 2022, LogRhythm Axon launched its groundbreaking cloud-native software as a service (SaaS) platform built from the ground-up for security teams that are stretched thin by overwhelming amounts of data and an ever-evolving threat landscape.
  • In August 2022, BluVector, a leader in network security and a Comcast company, announced the release of its full network detection and response (NDR) solution, Automated Threat Hunting (ATH). ATH is a cloud-based SaaS offering that maximizes the latest artificial intelligence (AI) to transform the threat hunting process. BluVector’s newest offering empowers cyber security teams to pivot from passive, reactive defense to proactive threat hunting.

Global AI In Cybersecurity Key Market Trends

  • Introducing smart automation into security system AI can greatly reduce the amount of manual labor required to carry out the goals.It will help in automating identity and access management security measures.As it is becoming important than ever with the increased adoption of zero trust security framework which requires every network user to be authenticated, authorized and continuously validated. This trend of automation will help organizations to assign risk scores related to potentially suspicious events instead of simply locking users out for terminating their connections mid session.

Global AI In Cybersecurity Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.

According to our global AI In Cybersecurity market analysis, the global market is estimated to have significant growth during the forecast period because of the benefits it consists of such as automation, large data analyzation and high security. AI In Cyber Security will enable software , services to be more convenient for their users. The market has so much potential for new players also because of the high expected rate of growth and demand.

Report Metric Details
Market size value in 2021 USD 13.29 billion
Market size value in 2030 USD 94.14 billion
Growth Rate 24.3%
Base year 2021
Forecast period 2023-2030
Forecast Unit (Value) USD Billion
Segments covered
  • Application
    • DLP, UTM, IAM, Antivirus, IDP and others
  • Vertical
    • Retail, Government, BFSI, IT, Healthcare and others.
  • Offerings
    • Hardware, Software, Services
  • Type
    • Cloud Security, Network Security, Endpoint Security, Application Security
  • Technology
    • ML, NLP, Context-aware computing
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • IBM Corporation
  • Microsoft Corporation
  • Cisco Systems, Inc.
  • Palo Alto Networks, Inc.
  • Fortinet, Inc.
  • Darktrace Ltd.
  • Amazon Web Services (AWS)
  • FireEye, Inc.
  • Check Point Software Technologies Ltd.
  • McAfee, LLC
  • Splunk Inc.
  • Symantec Corporation
  • Trend Micro, Inc.
  • F5 Networks, Inc.
  • Rapid7, Inc.
  • Exabeam, Inc.
  • Vectra AI, Inc.
  • SentinelOne, Inc.
  • Cybereason Inc.
  • Zscaler, Inc.
Customization scope

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  • Market dynamics & outlook
  • Region

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Global AI In Cybersecurity Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Global AI In Cybersecurity Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Global AI In Cybersecurity Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Global AI In Cybersecurity Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Global AI In Cybersecurity Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Global AI In Cybersecurity Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQ's

AI In Cybersecurity Market size was valued at USD 13.29 billion in 2021 and is poised to grow from USD 16.52 billion in 2022 to USD 94.14 billion by 2030, growing at a CAGR of 24.3% in the forecast period (2023-2030).

Competition in the global AI In Cybersecurity market is expected to increase during the forecast period because new players are expected to enter the global market and the number of software and services compatible with AI In Cybersecurity will also increase. Currently, only a few key players are providing their services in the global market but these numbers will increase in the upcoming years. 'IBM Corporation', 'Microsoft Corporation', 'Cisco Systems, Inc.', 'Palo Alto Networks, Inc.', 'Fortinet, Inc.', 'Darktrace Ltd.', 'Amazon Web Services (AWS)', 'FireEye, Inc.', 'Check Point Software Technologies Ltd.', 'McAfee, LLC', 'Splunk Inc.', 'Symantec Corporation', 'Trend Micro, Inc.', 'F5 Networks, Inc.', 'Rapid7, Inc.', 'Exabeam, Inc.', 'Vectra AI, Inc.', 'SentinelOne, Inc.', 'Cybereason Inc.', 'Zscaler, Inc.'

The AI In Cybersecurity card is a type of key facilitator for Technological and data companies to be saved from newer cyber attacks and data threats.The endpoints, networks, data and other IT infrastructure of companies are attacked by cyber criminals that lead to a huge financial loss for individuals, enterprises and the governments.The sensitive data of organization and critical IT infrastructure are seriously damaged by cyber threats.Increase acceptance of online payments and rapid rise in digital transaction globally has led to the increasing frequency of cyber crimes.Technological advancement is helping AI to get developed in cyber security market. On the other hand, the advancements, automation and other sophistications are also accelerating the cyber attacks by helping cyber criminals.

Introducing smart automation into security system AI can greatly reduce the amount of manual labor required to carry out the goals.It will help in automating identity and access management security measures.As it is becoming important than ever with the increased adoption of zero trust security framework which requires every network user to be authenticated, authorized and continuously validated. This trend of automation will help organizations to assign risk scores related to potentially suspicious events instead of simply locking users out for terminating their connections mid session.

Globally, North America is estimated to hold the highest global AI In Cybersecurity market share followed by North America and Asia Pacific. Main factors during this growth period is the presence of top market players such as NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation and others.

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