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市場調查報告書
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1604512

人工智慧網路安全市場：未來預測（2024-2029）

AI Cyber Security Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 141 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

人工智慧網路安全市場預計將以24.56%的複合年成長率成長，到2029年市場規模將從2024年的381.42億美元達到868.29億美元。

人工智慧（AI）網路安全一詞是指利用人工智慧技術和機器學習能力來增強網路、數位系統和資料的安全性，使其免受網路威脅。具體來說，我們使用人工智慧演算法來識別、預防和應對各種形式的網路攻擊、爆發和安全漏洞。

人工智慧網路安全整合威脅情報流和資料庫，以增強安全層和決策流程。人工智慧系統透過收集和處理來自多種管道（包括開源情報、暗網掃描和安全研究）的威脅資料，然後快速提供有關威脅和攻擊模式的資訊，擴大幫助這些組織。 CEB Header 使用人工智慧和機器學習來評估用戶行為，並可以追蹤威脅、帳戶洩漏和用戶的奇怪入侵嘗試。然而，使用者行為分析系統將使用者行為資料與其他相關背景/相關因素（例如風險）結合，並偵測異常行為，以推斷安全威脅或其他詐欺活動的可能性。

面對當今高度複雜、動態的威脅，人工智慧網路安全可以保護組織免受網路攻擊的負面影響，提高威脅偵測和回應的效率，並提高整體安全水準。透過利用人工智慧技術，組織可以加強防禦並降低入侵電腦系統和資料造成的損失成本。

人工智慧網路安全市場的促進因素

  • 網路威脅的增加推動人工智慧網路安全市場的成長

隨著網路攻擊的加劇，網路犯罪的發生率也在不斷變化。因此，近年來對先進網路安全的需求不斷增加，例如使用人工智慧來檢測和防止入侵的系統。根據內政部統計，2020年1月1日至2022年12月7日，印度收到超過16,000起網路犯罪申訴，並已提交超過32,000份FIR。

網路攻擊風險的不斷上升凸顯了對新的、有效的網路安全系統的需求，該系統可以持續檢測線上威脅、遏制威脅以及隨威脅而發展的防禦機制。由人工智慧技術支援的網路安全解決方案正在幫助組織快速檢測和回應新出現的網路威脅。因此，您可以最大限度地降低風險並消除資料遺失和其他安全威脅的可能性。隨著威脅情勢的變化以及將網路安全視為業務風險管理的組織需要採用此類解決方案，對人工智慧網路安全解決方案的需求預計將會成長。

人工智慧網路安全市場的地理前景

  • 北美在預測期內將經歷指數級成長

由於網路連接設備的激增以及物聯網、5G 和 Wi-Fi 的使用不斷增加，預計北美將佔據人工智慧網路安全市場的很大一部分。

汽車、醫療保健、政府、能源和採礦業正在加速 5G 網路的部署，為駭客創造了潛在的網路基地台。該地區擁有許多專注於人工智慧的新興企業研究機構。許多強大的產業參與者為基於人工智慧的網路安全系統的開發做出了重大貢獻，包括 Anthropic、Adept AI、柏克萊人工智慧實驗室、亞利桑那大學人工智慧實驗室和 Wysa。

此外，各種政府計劃、官民合作關係計劃和網路安全投資計劃正在加強網路態勢並保護基礎設施免受此類攻擊。該地區面臨各種網路威脅，包括民族國家攻擊、網路間諜、勒索軟體攻擊和圍堵威脅。因此，對以威脅偵測、事件回應和風險緩解措施為目標的人工智慧網路安全解決方案的需求很高。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2029）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析：按細分市場/地區（按國家）
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

人工智慧網路安全市場分為以下幾個部分：

按用途

  • 檢驗/識別及存取管理
  • 詐欺偵測/網路釣魚識別
  • 事件回應
  • 其他

依部署方式

  • 雲
  • 本地

按最終用戶

  • 零售/電子商務
  • BFSI
  • 政府
  • 汽車/交通
  • 醫療保健
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國 (UAE)
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 印尼
  • 台灣
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章人工智慧網路安全市場：按應用分類

  • 介紹
  • 檢驗/ 識別及存取管理
  • 詐騙偵測/網路釣魚識別
  • 事件回應
  • 其他

第6章 人工智慧網路安全市場：依部署方式

  • 介紹
  • 雲
  • 本地

第7章 人工智慧網路安全市場：依最終用戶分類

  • 介紹
  • 零售/電子商務
  • BFSI
  • 政府
  • 汽車/交通
  • 醫療保健
  • 其他

第8章人工智慧網路安全市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 依部署方式
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按用途
    • 依部署方式
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按用途
    • 依部署方式
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 依部署方式
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 依部署方式
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 企業合併(M&A)、協議與合作
  • 競爭對手儀表板

第10章 公司簡介

  • Darktrace
  • IBM
  • Vectra AI
  • CroudStrike
  • Fortinet
  • SentinelOne
  • Cylance AI (Blackberry)
  • Cynet
簡介目錄
Product Code: KSI061616661

The AI cyber security market is expected to grow at a CAGR of 24.56%, reaching a market size of US$86.829 billion in 2029 from US$38.142 billion in 2024.

The term artificial intelligence (AI) cyber security entails enhancing the security of networks, digital systems, and data from cyber threats using AI technology and machine learning capability. Specifically, it uses AI algorithms to identify, prevent, and counter various forms, including cyberattacks, outbreaks, and compromise of security, among others.

AI cyber security integrates threat intelligence streams and databases to enhance the security layer and decision-making processes. AI systems are increasingly helpful for these organizations by providing information about the threats and attack patterns promptly after collecting and processing data on threats from many channels such as OSINT, dark web scans, and security research. In-ceiling the ground with machines, CEB headers use AI and machine learning to evaluate user activities, hence being able to track down any threats posed by users, breaches of accounts, and strange entry attempts. However, user behavior analytics systems can integrate user behavior data and other relevant contextual/predicated factors, such as risk, to identify unusual behaviors estimating possible threats to the security or other wrongful activities.

In the face of contemporary threats, which are quite complicated and dynamic, AI cybersecurity protects organizations from the negative impacts of cyber-attacks, increases efficiency in threat detection and response, and improves overall security rounds. With the help of AI technologies, organizations can re-gear their defenses and lessen the damage costs occurring due to infiltration of their computer systems and data.

AI cyber security market drivers

  • Increasing cyber threat is fueling the AI cyber security market growth

As the rate of cyber invasions intensifies, so does the rate of evolution of the incidence of cybercrimes. Hence, in the last few years, there has been an ever-growing demand for advanced cyber security, with the likes of systems that detect and prevent intrusions using AI. The statistics provided by the Indian Ministry of Home Affairs stated that there have been more than 16 lakh cybercrime complaints which were received from January 01, 2020, to December 07, 2022, in India, as well as more than 32 thousand FIRs that were lodged during the above-mentioned period.

The escalating cyber-attack risk highlights the need for new effective cybersecurity systems capable of providing constant online threat detection, initiatives for online threat detainment, and defense mechanisms that can evolve with the threats. Cybersecurity solutions that utilize AI technologies are helping organizations to swiftly detect and respond to emerging cyber threats. Thus, it minimizes risks and eliminates the chances of data losses and other security threats. With the changes in the threat landscape, the need for AI cybersecurity solutions is expected to increase as organizations considering cybersecurity as a business risk management must incorporate such solutions.

AI cyber security market geographical outlook

  • North America is witnessing exponential growth during the forecast period

The North American region is expected to have a sizable proportion of the AI cyber security market due to the spike in network-connected devices and the rising use of the Internet of Things, 5G, and Wi-Fi.

Organizations in the automotive, healthcare, government, energy, and mining industries have accelerated 5G network deployment, creating a potential access point for hackers. This region is replete with numerous research institutions for startups focusing on AI. It is home to strong industry players like Anthropic, Adept AI, Berkeley AI research lab, University Of Arizona Artificial Intelligence Lab, Wysa, and so many others, which are making great contributions to the development of AI-based cybersecurity systems.

In addition, various government programs, initiatives of public-private partnerships, and investment projects in cybersecurity boost cyber posture and protect infrastructure against such attacks. This region is subject to various cyber threats: nation-state attacks, cyber espionage, ransomware attacks, enclosing threats, and even more. Hence, there is a high demand for such AI-powered cybersecurity solutions targeted at threat detection, incident response, and risk mitigation measures.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI cyber security market is analyzed into the following segments:

By Application

  • Verification, Identity, and Access Management
  • Fraud Detection and Identifying Phishing
  • Incident Response
  • Others

By Deployment

  • Cloud
  • On-Premise

By End-User

  • Retail and E-commerce
  • BFSI
  • Government
  • Automotive and Transportation
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI CYBER SECURITY MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Verification, Identity, and Access Management
  • 5.3. Fraud Detection and Identifying Phishing
  • 5.4. Incident Response
  • 5.5. Others

6. AI CYBER SECURITY MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. AI CYBER SECURITY MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Retail and E-commerce
  • 7.3. BFSI
  • 7.4. Government
  • 7.5. Automotive and Transportation
  • 7.6. Healthcare
  • 7.7. Others

8. AI CYBER SECURITY MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Application
    • 8.2.2. By Deployment
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Application
    • 8.3.2. By Deployment
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Application
    • 8.4.2. By Deployment
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. UK
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Application
    • 8.5.2. By Deployment
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Application
    • 8.6.2. By Deployment
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Darktrace
  • 10.2. IBM
  • 10.3. Vectra AI
  • 10.4. CroudStrike
  • 10.5. Fortinet
  • 10.6. SentinelOne
  • 10.7. Cylance AI (Blackberry)
  • 10.8. Cynet