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到 2030 年網路安全市場人工智慧預測：依類型、產品、技術、用途、最終用戶和地區進行的全球分析
市場調查報告書
商品編碼
1358976

到 2030 年網路安全市場人工智慧預測：依類型、產品、技術、用途、最終用戶和地區進行的全球分析

Artificial Intelligence in Cybersecurity Market Forecasts to 2030 - Global Analysis By Type, Offering, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球網路安全人工智慧市場規模將達到 209 億美元，預計到 2030 年將達到 743 億美元，預測期內年複合成長率為 19.9%。

基於人工智慧的端點安全解決方案提供即時保護。使用人工智慧演算法進行即時端點行為分析可以提醒安全團隊潛在風險。因此，安全團隊可以快速回應攻擊並在攻擊造成更大損害之前將其消除。科技、醫療保健和製藥業正在以多種方式利用人工智慧。人工智慧的使用被認為是降低許多業務成本的關鍵工具，包括開發、製造、自動化、監控、修復和廣泛的其他業務。

根據 CISCO 的《2021 年網路安全威脅趨勢報告》，86% 的比例至少有一個用戶嘗試連接到網路釣魚網站；70% 的比例曾投放過惡意瀏覽器廣告；69% 的組織經歷過某種比例的未經請求的加密貨幣挖掘， 50% 的人遇到過與勒索軟體相關的比例。

提供卓越安全性的零信任架構

根據零信任範式，複雜網路的安全性不斷受到內部和外部危險的攻擊。當使用者使用 API 連接到連接到資料集合的應用程式和軟體時，零信任安全模型檢驗並核准每個連接。此外，本報告還幫助您組織和規劃全面的策略來應對線上威脅。根據零信任原則，任何人或任何應用程式都不應被認為是可信的。

不斷變化的威脅環境

網路危害不斷變化，新的攻擊技術和策略不斷湧現。為了持續有效，基於人工智慧的網路安全系統必須適應這些不斷變化的威脅。然而，為了訓練人工智慧模型學習新的風險模式，他們需要存取並不總是可用的多樣化且最新的資料。網路安全領域的人工智慧不斷面臨應對新威脅的課題。

網路威脅發生比例上升

在全球範圍內，網路攻擊的數量正在逐漸增加。網路犯罪分子以端點、網路、資料和其他 IT 基礎設施為目標，對消費者、企業和政府造成重大損害。網路犯罪分子的主要動機包括政治衝突、經濟利益、聲譽損害、國際衝突和極端宗教團體的利益。大多數網路攻擊都是出於經濟利益的動機。此外，WannaCry、Petya、NotPetya、BadRabbit等知名勒索軟體對企業和政府機構造成了嚴重影響。

隱私和道德問題

人工智慧在網路安全中的使用引發了道德和隱私問題。資料。保護敏感資料的安全和隱私至關重要，因為任何洩漏都可能造成嚴重後果。然而，為了避免濫用和有偏見的結果，人工智慧系統也必須遵守公平、透明和課責等道德標準。

COVID-19 的影響：

許多領先的網路安全公司將這場危機視為審查和重組當前策略並開發更複雜產品系列的機會。隨著企業配合措施在家工作政策，COVID-19 的爆發正在推動對最尖端科技的需求。在家工作的人和使用潛在風險的網路和設備的其他人帶來的對數位產品和服務的需求激增，迫使公司在深度學習和機器學習演算法上投入資金。

機器學習領域預計將在預測期內成為最大的領域

隨著深度學習在所有最終用途行業中迅速採用，機器學習類別預計將在預測期內佔據最大的市場佔有率。 Google 和 IBM 等大公司開始使用機器學習進行威脅偵測和電子郵件過濾。企業正在利用機器學習和深度學習來加強其網路安全協定。此外，機器學習平台作為自動監控、識別偏差和導航安全系統產生的大量資料的工具變得越來越普及。

政府和國防領域預計在預測期內年複合成長率最高

由於網路事件的增加，預計政府和國防部領域實現盈利成長。據戰略與國際研究中心稱，2022 年 3 月針對以色列主要通訊提供商的 DDoS 攻擊導致許多以色列政府網站被刪除。此外，2022年1月，烏克蘭政府90個網站遭到網路攻擊，有害軟體傳播，導致許多政府機構的電腦受損。因此，政府準備依靠雲端安全和零信任架構來防止網路事件。

比例最高的地區：

由於互聯設備的使用增加，組織之間的網路安全意識增強，經濟成長加速，物聯網、5G技術和雲端運算等最尖端科技的廣泛採用，以及該地區日益成長的隱私和安全問題。預計太平洋地區將在預測期內實現最快的成長。此外，該地區還在人才、基礎設施和人工智慧技術方面進行了大量投資，刺激了網路安全創新。

複合年複合成長率最高的地區：

預計北美在預測期內將保持良好的成長。北美的組織經常遇到網路威脅，因此對有效的安全解決方案有巨大的需求。 《一般資料保護規範》（GDPR）和《加州消費者隱私法案》（CCPA）等嚴格的資料保護法的存在進一步促進了人工智慧驅動的資料安全措施的採用。此外，該地區強大的數位基礎設施和雲端技術的早期採用為將人工智慧涵蓋網路安全計畫奠定了堅實的基礎。

免費客製化服務

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 用途分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 網路安全市場中的全球人工智慧：依類型

  • 雲端安全
  • 應用程式安全
  • 端點安全
  • 其他類型

第6章 網路安全市場中的全球人工智慧：透過提供

  • 服務
  • 軟體
  • 硬體

第7章 網路安全市場中的全球人工智慧：依技術分類

  • 上下文感知計算
  • 自然語言處理（NLP）
  • 機器學習
  • 其他技術

第8章 網路安全市場中的全球人工智慧：依用途

  • 威脅情報
  • 詐欺偵測/詐欺預防
  • 統一威脅管理
  • 防止資料損失預防
  • 其他用途

第9章 網路安全市場中的全球人工智慧：依最終用戶分類

  • 汽車和交通
  • 衛生保健
  • 製造業
  • 政府和國防
  • 其他最終用戶

第10章 全球人工智慧網路安全市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章公司簡介

  • Fortinet, Inc
  • Intel Corporation
  • Micron Technology Inc.
  • Acalvio Technologies Inc
  • Xilinx Inc
  • Samsung Electronics Co Ltd
  • Microsoft Corporation
  • Amazon Web Services, Inc
  • FireEye, Inc
  • IBM Corporation
  • Palo Alto Networks, Inc.
Product Code: SMRC23848

According to Stratistics MRC, the Global Artificial Intelligence In Cybersecurity Market is accounted for $20.9 billion in 2023 and is expected to reach $74.3 billion by 2030 growing at a CAGR of 19.9% during the forecast period. Real-time defense is offered by AI-based endpoint security solutions. Real-time endpoint behavior analysis by AI algorithms may alert security teams of possible hazards. As a result, security teams can respond to attacks more rapidly and eliminate them before they do any damage. The technology, healthcare, and pharmaceutical industries all use AI in different ways. The use of AI has been recognized as a vital tool for lowering the costs of many operations, including development, manufacturing, automation, monitoring, modification, and a wide range of other operations.

According to the CISCO cybersecurity threat trends report 2021, 86% of the organizations of organizations had at least one user try to connect to a phishing site, 70% of organizations had users that were served malicious browser ads, 69% of organizations experienced some level of unsolicited crypto mining, and 50% of organizations encountered ransomware-related activity.

Market Dynamics:

Driver:

An architecture for zero trust that offers superior security

The security of complex networks is always under assault from both internal and external dangers, according to the zero trust paradigm. When a user connects to an application or piece of software that uses an API to connect to a data collection, a zero-trust security model verifies and approves each connection. Additionally, it aids in the organization and planning of a comprehensive strategy to deal with online threats. No one or any application should ever be assumed to be trustworthy, according to the zero-trust principle.

Restraint:

Transforming threat environment

Cyber hazards are ever-changing, with new attack techniques and strategies appearing frequently. For continued effectiveness, AI-based cybersecurity systems need to adjust to these changing threats. However, access to current and diverse datasets which might not always be easy to come by is necessary for training AI models on new danger patterns. AI in cybersecurity is constantly faced with the issue of staying ahead of new threats.

Opportunity:

Increasing proportions of cyberthreats

Globally, the number of cyberattacks is progressively rising. Cybercriminals target endpoints, networks, data, and other IT infrastructure, which costs consumers, businesses, and governments a lot of revenue. Political rivalry, financial gain, reputational damage, international rivalry, and the interests of radical religious groups are among the main motives of cybercriminals. Most cyberattacks aim to profit financially. Additionally, among the notable ransomware that has severely impacted businesses and government institutions are WannaCry, Petya, NotPetya, and BadRabbit.

Threat:

Privacy and ethical issues

Ethics and privacy issues are raised by the use of AI in cybersecurity. To identify possible risks, AI systems may gather and examine a lot of private and sensitive data. It is essential to protect the security and privacy of sensitive data, as any breach could have severe consequences. However, to avoid abuse or biased consequences, AI systems must also abide by ethical standards, including fairness, transparency, and accountability.

COVID-19 Impact:

Many leading cybersecurity firms consider the crisis as a chance to review and restructure their current strategies and develop more complex product portfolios. The COVID-19 outbreak has boosted demand for cutting-edge technologies as businesses commit more to work-from-home policies. Businesses have been obliged to spend money on deep learning and machine learning algorithms because of a surge in demand for digital products and services brought on by telecommuting workers and other individuals using potentially risky networks and devices.

The machine learning segment is expected to be the largest during the forecast period

As deep learning is being rapidly adopted by all end-use industries, the machine learning category is anticipated to hold the largest market share during the projection period. Leading corporations like Google and IBM are beginning to use machine learning for threat detection and email filtering. Businesses are making use of machine learning and deep learning to enhance cybersecurity protocols. Additionally, ML platforms are becoming more and more popular as a tool to automate monitoring, identify deviations, and navigate the vast amounts of data generated by security systems.

The government and defense segment is expected to have the highest CAGR during the forecast period

As a result of a rise in cyber incidents, the government and defense sectors are predicted to experience profitable growth. According to the Center for Strategic and International Studies, a DDoS attack on a significant Israeli telecommunications provider in March 2022 resulted in the removal of a number of Israeli government websites. Moreover, the Ukrainian government's 90 websites were apparently the subject of a cyberattack in January 2022 that spread harmful software and damaged the computers of numerous government institutions. Governments are therefore prepared to rely on cloud security and zero-trust architecture to prevent cyber accidents.

Region with largest share:

Due to rising connected device usage, rising cybersecurity awareness among organizations, accelerating economic growth, widespread adoption of cutting-edge technologies like IoT, 5G technology, and cloud computing, as well as rising privacy and security concerns in the region, the Asia-Pacific region is predicted to experience rapid growth during the forecast period. Furthermore, significant investments in personnel, infrastructure, and AI technologies have been made in the region, spurring cybersecurity innovation.

Region with highest CAGR:

North America is projected to hold lucrative growth over the projection period. Organizations in North America experience cyber threats frequently, which has resulted in a significant demand for effective security solutions. The adoption of AI-powered cybersecurity measures is further fueled by the existence of strict data protection laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Furthermore, a strong basis for integrating AI into cybersecurity plans is provided by the region's robust digital infrastructure and early adoption of cloud technology.

Key players in the market:

Some of the key players in Artificial Intelligence In Cybersecurity market include: Fortinet, Inc, Intel Corporation, Micron Technology Inc., Acalvio Technologies Inc, Xilinx Inc, Samsung Electronics Co Ltd, Microsoft Corporation, Amazon Web Services, Inc, FireEye, Inc, IBM Corporation and Palo Alto Networks, Inc..

Key Developments:

In September 2022, NVIDIA launched NVIDIA IGX, which is a platform for high-precision edge AI, bringing advanced security and proactive safety to sensitive industries such as manufacturing, logistics and healthcare.

In August 2022, Microsoft has officially launched Microsoft Defender Experts for Hunting, enabling proactive threat hunting. According to Microsoft Security, they have successfully thwarted over 35.7 billion phishing and malicious emails as well as over 9.6 billion malware threats in 2021.

Types Covered:

  • Cloud Security
  • Application Security
  • Endpoint Security
  • Other Types

Offerings Covered:

  • Services
  • Software
  • Hardware

Technologies Covered:

  • Context Aware Computing
  • Natural Language Processing (NLP)
  • Machine Learning
  • Other Technologies

Applications Covered:

  • Threat Intelligence
  • Fraud Detection/Anti-Fraud
  • Unified Threat Management
  • Data Loss Prevention
  • Other Applications

End Users Covered:

  • Automotive & Transportation
  • Healthcare
  • Manufacturing
  • Government & Defense
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence in Cybersecurity Market, By Type

  • 5.1 Introduction
  • 5.2 Cloud Security
  • 5.3 Application Security
  • 5.4 Endpoint Security
  • 5.5 Other Types

6 Global Artificial Intelligence in Cybersecurity Market, By Offering

  • 6.1 Introduction
  • 6.2 Services
  • 6.3 Software
  • 6.4 Hardware

7 Global Artificial Intelligence in Cybersecurity Market, By Technology

  • 7.1 Introduction
  • 7.2 Context Aware Computing
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Machine Learning
  • 7.5 Other Technologies

8 Global Artificial Intelligence in Cybersecurity Market, By Application

  • 8.1 Introduction
  • 8.2 Threat Intelligence
  • 8.3 Fraud Detection/Anti-Fraud
  • 8.4 Unified Threat Management
  • 8.5 Data Loss Prevention
  • 8.6 Other Applications

9 Global Artificial Intelligence in Cybersecurity Market, By End User

  • 9.1 Introduction
  • 9.2 Automotive & Transportation
  • 9.3 Healthcare
  • 9.4 Manufacturing
  • 9.5 Government & Defense
  • 9.6 Other End Users

10 Global Artificial Intelligence in Cybersecurity Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Fortinet, Inc
  • 12.2 Intel Corporation
  • 12.3 Micron Technology Inc.
  • 12.4 Acalvio Technologies Inc
  • 12.5 Xilinx Inc
  • 12.6 Samsung Electronics Co Ltd
  • 12.7 Microsoft Corporation
  • 12.8 Amazon Web Services, Inc
  • 12.9 FireEye, Inc
  • 12.10 IBM Corporation
  • 12.11 Palo Alto Networks, Inc.

List of Tables

  • Table 1 Global Artificial Intelligence in Cybersecurity Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence in Cybersecurity Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence in Cybersecurity Market Outlook, By Cloud Security (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence in Cybersecurity Market Outlook, By Application Security (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence in Cybersecurity Market Outlook, By Endpoint Security (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence in Cybersecurity Market Outlook, By Other Types (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence in Cybersecurity Market Outlook, By Offering (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence in Cybersecurity Market Outlook, By Services (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence in Cybersecurity Market Outlook, By Software (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence in Cybersecurity Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence in Cybersecurity Market Outlook, By Technology (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence in Cybersecurity Market Outlook, By Context Aware Computing (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence in Cybersecurity Market Outlook, By Natural Language Processing (NLP) (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence in Cybersecurity Market Outlook, By Machine Learning (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence in Cybersecurity Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence in Cybersecurity Market Outlook, By Application (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence in Cybersecurity Market Outlook, By Threat Intelligence (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence in Cybersecurity Market Outlook, By Fraud Detection/Anti-Fraud (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence in Cybersecurity Market Outlook, By Unified Threat Management (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence in Cybersecurity Market Outlook, By Data Loss Prevention (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence in Cybersecurity Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence in Cybersecurity Market Outlook, By End User (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence in Cybersecurity Market Outlook, By Automotive & Transportation (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence in Cybersecurity Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence in Cybersecurity Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence in Cybersecurity Market Outlook, By Government & Defense (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence in Cybersecurity Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.