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到 2030 年网路安全市场人工智慧预测：按类型、产品、技术、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1358976

到 2030 年网路安全市场人工智慧预测：按类型、产品、技术、用途、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球网路安全人工智慧市场规模将达到 209 亿美元，预计到 2030 年将达到 743 亿美元，预测期内年复合成长率为 19.9%。

基于人工智慧的端点安全解决方案提供即时保护。使用人工智慧演算法进行即时端点行为分析可以提醒安全团队潜在风险。因此，安全团队可以快速回应攻击并在攻击造成更大损害之前将其消除。科技、医疗保健和製药业正在以多种方式利用人工智慧。人工智慧的使用被认为是降低许多业务成本的关键工具，包括开发、製造、自动化、监控、修復和广泛的其他业务。

根据 CISCO 的《2021 年网路安全威胁趋势报告》，86% 的比例至少有一个用户尝试连接到网路钓鱼网站；70% 的比例曾投放过恶意浏览器广告；69% 的组织经历过某种比例的未经请求的加密货币挖掘， 50% 的人遇到过与勒索软体相关的比例。

零信任架构提供卓越的安全性

根据零信任范式，复杂网路的安全性不断受到内部和外部危险的攻击。当使用者使用 API 连接到连接到资料集合的应用程式和软体时，零信任安全模型检验并核准每个连接。此外，我们还帮助您组织和规划全面的策略来应对线上威胁。根据零信任原则，任何人或任何应用程式都不应被认为是可信的。

不断变化的威胁环境

网路危害不断变化，新的攻击技术和策略不断涌现。为了持续有效，基于人工智慧的网路安全系统必须适应这些不断变化的威胁。然而，为了训练人工智慧模型学习新的风险模式，他们需要存取并不总是可用的多样化且最新的资料。网路安全领域的人工智慧不断面临应对新威胁的挑战。

网路威胁发生比例上升

在全球范围内，网路攻击的数量正在逐渐增加。网路犯罪分子以端点、网路、资料和其他 IT 基础设施为目标，对消费者、企业和政府造成重大损害。网路犯罪分子的主要动机包括政治衝突、经济利益、声誉损害、国际衝突和极端宗教团体的利益。大多数网路攻击都是出于经济利益的动机。此外，WannaCry、Petya、NotPetya、BadRabbit等知名勒索软体对企业和政府机构造成了严重影响。

隐私和道德问题

人工智慧在网路安全中的使用引发了道德和隐私问题。资料。保护敏感资料的安全和隐私至关重要，因为任何洩漏都可能造成严重后果。然而，为了避免滥用和有偏见的结果，人工智慧系统也必须遵守公平、透明和课责等道德标准。

COVID-19 的影响：

许多领先的网路安全公司将这场危机视为审查和重组当前策略并开发更复杂产品系列的机会。随着企业配合措施在家工作政策，COVID-19 的爆发正在推动对最尖端科技的需求。在家工作的人和使用潜在风险的网路和设备的其他人带来的对数位产品和服务的需求激增，迫使公司在深度学习和机器学习演算法上投入资金。

机器学习领域预计将在预测期内成为最大的领域

随着深度学习在所有最终用途行业中迅速采用，机器学习类别预计将在预测期内占据最大的市场占有率。 Google 和 IBM 等大公司开始使用机器学习进行威胁侦测和电子邮件过滤。企业正在利用机器学习和深度学习来加强其网路安全协定。此外，机器学习平台作为自动监控、识别偏差和导航安全系统产生的大量资料的工具变得越来越普及。

政府和国防领域预计在预测期内年复合成长率最高

由于网路事件的增加，预计政府和国防部领域实现盈利成长。据战略与国际研究中心称，2022 年 3 月针对以色列主要通讯提供商的 DDoS 攻击导致许多以色列政府网站被删除。此外，2022年1月，乌克兰政府90个网站遭到网路攻击，有害软体传播，导致许多政府机构的电脑受损。因此，政府准备依靠云端安全和零信任架构来防止网路事件。

比例最高的地区：

由于互联设备的使用增加，组织之间的网路安全意识增强，经济成长加速，物联网、5G技术和云端运算等最尖端科技的广泛采用，以及该地区日益增长的隐私和安全问题。预计太平洋地区将在预测期内实现最快的成长。此外，该地区还在人才、基础设施和人工智慧技术方面进行了大量投资，刺激了网路安全创新。

复合年复合成长率最高的地区：

预计北美在预测期内将保持良好的成长。北美的组织经常遇到网路威胁，因此对有效的安全解决方案有巨大的需求。 《一般资料保护规范》（GDPR）和《加州消费者隐私法案》（CCPA）等严格的资料保护法的存在进一步促进了人工智慧驱动的资料安全措施的采用。此外，该地区强大的数位基础设施和云端技术的早期采用为将人工智慧纳入网路安全计画奠定了坚实的基础。

免费客製化服务

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 用途分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章网路安全市场中的全球人工智慧：按类型

  • 云端安全
  • 应用程式安全
  • 端点安全
  • 其他类型

第6章网路安全市场中的全球人工智慧：透过提供

  • 服务
  • 软体
  • 硬体

第7章网路安全市场中的全球人工智慧：按技术分类

  • 上下文感知计算
  • 自然语言处理（NLP）
  • 机器学习
  • 其他技术

第8章网路安全市场中的全球人工智慧：按用途

  • 威胁情报
  • 诈欺侦测/诈欺预防
  • 统一威胁管理
  • 防止资料损失预防
  • 其他用途

第9章网路安全市场中的全球人工智慧：按最终用户分类

  • 汽车和交通
  • 卫生保健
  • 製造业
  • 政府和国防
  • 其他最终用户

第10章全球人工智慧网路安全市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第11章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第12章公司简介

  • 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.