Artificial Intelligence (AI) in Cybersecurity Market Size, Share, Growth Analysis, By Component, Security (Infrastructure Security, Data Security, Application Security), Technology(ML, NLP, Context-Aware Computing), Organization Size, Application, Vertical, and Region - Industry Forecast 2024-2031


Report ID: SQMIG45F2068 | Region: Global | Published Date: June, 2024
Pages: 265 |Tables: 126 |Figures: 86

Artificial Intelligence (AI) in Cybersecurity Market Insights

Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).

The use of Artificial Intelligence (AI) in the cybersecurity market has an impact as a significant force that helps keep digital assets safe. The more common and sophisticated cyber threats become, the more important AI gains in cyber security. Technologies related to AI enable a highly dynamic and pre-emptive way to detect and manage threats, redefining how traditional cybersecurity is practiced. Through machine learning algorithms plus predictive analytics, organizations can implement systems that can autonomously scrutinize large sets of data for any abnormal patterns or possible breach points in real time. In other words, being proactive with threat detection lets organizations lead against cyber adversaries— significantly reducing their risk for financial losses and data breaches, as they stay one step ahead. 

The use of AI in automation and orchestration helps find a direct path to threat detection and proper work that is needed for it. Through this, security teams can act fast enough and identify cyber threats on their system without much effort or time wastage. As a result, the implementation of AI-driven cybersecurity solutions improves the efficiency of responding to incidents. It ensures not only lowering response times but also preventing losses. This action can lead to reducing business interruption and reputational damage. In another perspective, platforms like AI-driven threat intelligence give insights into what lies ahead by providing actionable information on emerging threats— allowing firms take preemptive action by prioritizing security measures based on real-time threat intelligence. 

The AI market is rapidly expanding, as organizations across various industries are imperative of fortifying their digital defenses against evolving cyber threats. This implies organizations from any field are realizing the importance of not only creating cyber defense but also constantly updating it. Therefore, businesses across the globe are continuously investing in using AI in their cyber security. At this pace, the AI-powered cybersecurity solutions' demand is likely to intensify further— fostering innovation at all levels within cyberspace and expanding markets while redefining cyber defense strategies.

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

Market Snapshot - 2024-2031

Global Market Size

USD 18.36 Billion

Largest Segment

Services

Fastest Growth

Software

Growth Rate

22.53% CAGR

Global Artificial Intelligence (AI) in Cybersecurity Market ($ Bn)
Country Share for North America Region (%)

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Artificial Intelligence (AI) in Cybersecurity Market Segmental Analysis

Global Artificial Intelligence (AI) in Cybersecurity Market is segmented on the basis of offering, security type, technology, application, vertical and region. By offering, the market is segmented into hardware, software, and services. By security type, the market is divided into infrastructure security, data security, application security, and others. By technology, the market is segmented into machine learning (ML), natural language processing (NLP), and context-aware computing. By application, the market is segmented into identity & access management, risk & compliance management, data loss prevention, unified threat management, fraud detection, and others. By vertical the market is segmented into, BFSI, it & telecom, government & defense, manufacturing, and others. 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 

Among the three segments, Services is the largest segment in the AI in cybersecurity market because users need professional assistance and knowledge to implement artificial intelligence into their organizations. Some of these are consulting, system integration and even managed security services.  

On the other hand, the software segment at present holds the fastest growth rate due to the constant advancements in AI and machine learning algorithms. Such advancements are improving the abilities of cybersecurity software to identify and combat threats on a real-time basis and thus causing the demand across various sectors to rise. The evolution of cyber threats, the increase in their number and complexity, drives the necessity of utilizing AI technologies in software solutions. 

AI In Cybersecurity Market Analysis by Technology  

In the Artificial Intelligence (AI) cybersecurity market, Machine Learning emerges as the dominating technology. It owes this to the fact that it can analyze lots of information to look for relationships and predict possible dangers, two critical aspects in cybersecurity. This is because Machine Learning can learn when it comes to data inputs, thus can be used to identify and prevent threats before they occur. This technology works best in its capacity to improve the algorithms that help detect and prevent cyber threats in the system. Machine Learning is a critical component of cybersecurity today and in the future, and it can provide organizations with the necessary tools to combat today’s threats.  

However, the Natural Language Processing (NLP) segment is the leader in this field. Such advanced forms of cyber threats that relate to language and communication mediums have created a need for NLP, because of the improved ability to identify and prevent text-based attacks, thus making it an important tool in the contemporary cybersecurity domain. 

Global Artificial Intelligence (AI) in Cybersecurity Market By Offering

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Artificial Intelligence (AI) in Cybersecurity Market Regional Insights

North America has the largest market share of the AI in cybersecurity market due to its position as the world’s leading technology and cybersecurity company. Some of the big companies that are located in the region include NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation, among others, which promote innovation and boost the market. It should be mentioned that North American companies and organizations tend to be technology leaders, including the use of artificial intelligence for cybersecurity. This forward-thinking approach contributes to the expansion of the market and raises the bar for AI solutions, making the region a key player in the global cybersecurity landscape. 

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 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 Artificial Intelligence (AI) in Cybersecurity Market By Geography
  • Largest
  • Fastest

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Artificial Intelligence (AI) in Cybersecurity Market Dynamics

AI In Cybersecurity Market Drivers

Increasing Sophistication of Cyber Threats 

  • The increasing threat levels, from new forms of attack like ransomware, phishing and APTs, necessitate the need for AI in cybersecurity. Around the world, every organization experienced a moderate of 1,158 cyber-attacksweekly per entity, slightly increasing by 1% from 2022. India again seen a sharp rise in 2023 where 2,138 weekly cyber-attack per organization were reported and showed an increase of 15 percent compared to the year 2022. These statistics clearly point to the necessity of proper cybersecurity measures to be put in place. The application of AI has particularly improved the flexibility and productivity of cybersecurity systems where threat identification is faster and more precise than ever, underlining the importance of AI even more in protecting digital resources. 

Growing Volume of Data 

  • With the increasing volume of data produced by organizations, it is critical to implement sophisticated AI integrated cybersecurity systems capable of handling the data and providing meaningful insights while keeping it secure. Traditional cybersecurity methods are ineffective in managing large volumes of data, compared with the capabilities of AI. With approximately 328.77 million terabytes of data created daily protecting this data is significant.Leveraging data has become critical in operations and decision-making in daily activities, making it significant to implement and enhance cybersecurity bolstered by AI technology to guarantee data security, security and accessibility. 

AI In Cybersecurity Market Restraints 

Increasing Sophisticated Zero-day of AI to Hinder Market Growth 

  • AI is also divided into various categories and encompasses many algorithms of machine learning, genetics algorithm, deep learning or neural networks. All of the following are part of algorithms: And about the past malware and the past features on the harpist. Thus, any unknown computer security is at the mercy of the zero-day threat. Some of the emerging and frequent types of threats are as follows: Advanced Persistent Threats is a type of zero-day threat whereby an unauthorized person gains admission into the network and will remain unnoticed for a very prolonged period. 

High Implementation Costs: 

  • While the benefits of using AI in cybersecurity are numerous, the challenge lies in the fact that AI solutions’ integration cost and the cost of recurring charges are often high, which makes it difficult for most companies, especially those with limited resources, to consider implementing it. I have also included the costs of the initialsetup since it also includes acquiring the necessary tools for the process, staff training, and the integration of the new systems with the existing ones. Furthermore, the ongoing process of improving and maintaining AI algorithms adds to the costs as the AI must be updated constantly to counter new threats. Therefore, as AI contributes to improving cybersecurity and defense strategies, the high cost deters some organizations from maximizing the utilization of this technology, which might make them easier targets for cyber criminals.

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Artificial Intelligence (AI) in Cybersecurity Market Competitive Landscape

Competition in the 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

  • NVIDIA Corporation 
  • Intel Corporation 
  • Xilinx Inc. 
  • Samsung Electronics Co Ltd 
  • Micron Technology Inc. 
  • Amazon Web Services, Inc. 
  • IBM Corporation 
  • Microsoft Corporation 
  • FireEye, Inc. 
  • Palo Alto Networks, Inc. 
  • Juniper Networks, Inc. 
  • Fortinet, Inc. 
  • Cisco Systems, Inc. 
  • Check Point Software Technologies Ltd. 
  • Imperva 
  • McAfee LLC 
  • LogRhythm, Inc. 
  • Sophos Ltd. 
  • NortonLifeLock Inc. 
  • Crowdstrike Holdings, Inc. 
  • Darktrace 
  • Cylance Inc. 
  • Vectra AI, Inc. 
  • ThreatMetrix Inc. 
  • Securonix Inc. 
  • Sift Science 
  • Acalvio Technologies 
  • SparkCognition Inc. 
  • Symantec Corporation

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.

Artificial Intelligence (AI) in Cybersecurity Key Market Trends

Smart Automation in Identity and Access Management (IAM) Security

  • 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.

Artificial Intelligence (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 artificial intelligence (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 CyberSecurity 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 Cybersecurity USD 18.36 Billion
Market size value in 2031 USD 114.30 Billion
Growth Rate 22.53%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Security Type
    • Infrastructure Security (Network Security, Endpoint Security, Cloud Security, and Others), Data Security, Application Security, and Others
  • Technology
    • Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing
  • Application
    • Identity & Access Management, Risk & Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection, and Others
  • Vertical
    • BFSI, IT & Telecom, Government & Defense, Manufacturing, and Others
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
  • NVIDIA Corporation 
  • Intel Corporation 
  • Xilinx Inc. 
  • Samsung Electronics Co Ltd 
  • Micron Technology Inc. 
  • Amazon Web Services, Inc. 
  • IBM Corporation 
  • Microsoft Corporation 
  • FireEye, Inc. 
  • Palo Alto Networks, Inc. 
  • Juniper Networks, Inc. 
  • Fortinet, Inc. 
  • Cisco Systems, Inc. 
  • Check Point Software Technologies Ltd. 
  • Imperva 
  • McAfee LLC 
  • LogRhythm, Inc. 
  • Sophos Ltd. 
  • NortonLifeLock Inc. 
  • Crowdstrike Holdings, Inc. 
  • Darktrace 
  • Cylance Inc. 
  • Vectra AI, Inc. 
  • ThreatMetrix Inc. 
  • Securonix Inc. 
  • Sift Science 
  • Acalvio Technologies 
  • SparkCognition Inc. 
  • Symantec Corporation
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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 Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (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 Artificial Intelligence (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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FAQs

Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).

Competition in the 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. 'NVIDIA Corporation ', 'Intel Corporation ', 'Xilinx Inc. ', 'Samsung Electronics Co Ltd ', 'Micron Technology Inc. ', 'Amazon Web Services, Inc. ', 'IBM Corporation ', 'Microsoft Corporation ', 'FireEye, Inc. ', 'Palo Alto Networks, Inc. ', 'Juniper Networks, Inc. ', 'Fortinet, Inc. ', 'Cisco Systems, Inc. ', 'Check Point Software Technologies Ltd. ', 'Imperva ', 'McAfee LLC ', 'LogRhythm, Inc. ', 'Sophos Ltd. ', 'NortonLifeLock Inc. ', 'Crowdstrike Holdings, Inc. ', 'Darktrace ', 'Cylance Inc. ', 'Vectra AI, Inc. ', 'ThreatMetrix Inc. ', 'Securonix Inc. ', 'Sift Science ', 'Acalvio Technologies ', 'SparkCognition Inc. ', 'Symantec Corporation'

The increasing threat levels, from new forms of attack like ransomware, phishing and APTs, necessitate the need for AI in cybersecurity. Around the world, every organization experienced a moderate of 1,158 cyber-attacksweekly per entity, slightly increasing by 1% from 2022. India again seen a sharp rise in 2023 where 2,138 weekly cyber-attack per organization were reported and showed an increase of 15 percent compared to the year 2022. These statistics clearly point to the necessity of proper cybersecurity measures to be put in place. The application of AI has particularly improved the flexibility and productivity of cybersecurity systems where threat identification is faster and more precise than ever, underlining the importance of AI even more in protecting digital resources. 

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.

North America has the largest market share of the AI in cybersecurity market due to its position as the world’s leading technology and cybersecurity company. Some of the big companies that are located in the region include NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation, among others, which promote innovation and boost the market. It should be mentioned that North American companies and organizations tend to be technology leaders, including the use of artificial intelligence for cybersecurity. This forward-thinking approach contributes to the expansion of the market and raises the bar for AI solutions, making the region a key player in the global cybersecurity landscape. 

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