市场调查报告书
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1321864
网络安全人工智能的全球市场(2023-2030):应用(DLP/UTM)、行业(零售、政府)、产品供应(硬件、软件)、类型(云安全、网络安全)、技术(ML)□NLP )不同规模/份额/增长分析/预测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 |
全球人工智能在网络安全市场规模预计将从2021年的132.9亿美元增长到2022年的165.2亿美元,预测期内復合年增长率为24.3%,到2030年将达到941亿美元。预计还会增长至 4000 万美元。
人工智能在网络安全中的应用因其诸多好处而越来越受欢迎。 人工智能技术可以识别未知威胁并处理大量数据,使其成为对抗网络威胁的宝贵资产。 有助于提高整体安全性、减少重复流程并协助漏洞管理。 在当今的网络时代,企业面临着众多的网络威胁,这使得人工智能成为希望在数字环境中蓬勃发展的企业的理想网络安全解决方案。 传统的基于人的方法可能不足以以零容忍的方式识别和预防未知威胁。 另一方面,人工智能擅长绘製和阻止这些难以捉摸的威胁,保护企业免受潜在的网络攻击。 人工智能在检测和分析企业内外交换的大量数据方面特别有效。 通过利用人工智能技术,企业可以有效识别潜在的安全漏洞并快速响应。
漏洞管理是确保数据安全的一个关键方面。 人工智能可以通过进行研究、分析现有安全措施和评估漏洞来协助这一领域。 这使企业能够主动检测威胁并加强安全措施。 然而,整合人工智能和网络安全需要企业和组织投入大量资源和财务投资。 获取训练人工智能係统所需的数据集既耗时又昂贵,这可能会给一些组织带来经济和实施方面的挑战。
当今数字环境中数据威胁的加剧正在迅速增加网络安全市场对人工智能的需求。 人工智能正在成为技术和数据驱动型公司保护自己免受新兴网络攻击和数据洩露的关键工具。 网络犯罪分子无情地以组织的端点、网络和 IT 基础设施为目标,给个人、企业和政府造成重大财务损失。 这些网络威胁可能会对组织的敏感数据和关键 IT 基础设施造成严重损害。 在线支付的激增和数字交易世界的快速增长导致网络犯罪的频率增加。 为了应对这些不断变化的威胁,网络安全市场正在利用技术进步并整合人工智能解决方案。 人工智能通过分析大量数据、检测模式和实时识别潜在威胁,在加强网络安全方面发挥着至关重要的作用。
将智能自动化融入安全系统中的人工智能可以显着减少实现预期目标所需的体力劳动。 这种集成促进了身份和访问管理安全措施的自动化。 随着零信任安全框架的日益采用,这种安全措施变得越来越重要。 该框架要求所有网络用户进行身份验证、授权和持续验证。 通过采用这种自动化趋势,组织可以为潜在可疑事件分配风险评分,而不是在活动会话期间突然断开用户连接。
本报告调查了全球网络安全人工智能市场,提供了市场概况,分析了市场的各种影响因素、技术和创新趋势、市场规模趋势和预测,并提供了各个细分市场和地区的信息。我们有总结了主要公司的细分、竞争格局和概况。
Global 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).
The use of AI in cybersecurity is gaining popularity due to its numerous advantages. AI technology is capable of identifying unknown threats and handling large amounts of data, making it a valuable asset in the battle against cyber threats. It contributes to better overall security, reduces duplicate processes, and aids in vulnerability management. In the current online era, businesses face a multitude of online threats, making AI an ideal cybersecurity solution for those aiming to thrive in the digital landscape. Traditional human-based methods may fall short in identifying and preventing unknown threats with zero error tolerance. AI, on the other hand, excels in mapping and stopping these elusive threats, safeguarding companies from potential cyberattacks. AI is particularly effective in detecting and analyzing the vast amount of data exchanged within and outside of businesses. By utilizing AI technology, companies can efficiently identify potential security breaches and respond promptly.
Vulnerability management is a critical aspect of ensuring data security. AI can assist in this area by conducting research, analyzing existing security measures, and assessing vulnerabilities. This enables companies to proactively detect threats and enhance their security measures. However, integrating AI with cybersecurity requires significant resources and financial investments for companies and organizations. Acquiring the necessary data sets for training AI systems can be time-consuming and costly, which may pose challenges for some organizations in terms of affordability and implementation.
Segments covered in this report:
The 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.
Driver
The escalating data threats in today's digital landscape have surged the demand for AI in the cybersecurity market. AI serves as a crucial tool for technological and data-driven companies to safeguard themselves against emerging cyber attacks and data breaches. Cybercriminals relentlessly target the endpoints, networks, and IT infrastructure of organizations, leading to significant financial losses for individuals, enterprises, and governments. These cyber threats pose serious damage to sensitive organizational data and critical IT infrastructure. The proliferation of online payments and the rapid growth of digital transactions globally have contributed to the increased frequency of cybercrimes. To combat these evolving threats, the cybersecurity market is leveraging technological advancements and embracing AI solutions. AI plays a pivotal role in fortifying cybersecurity measures by analyzing vast amounts of data, detecting patterns, and identifying potential threats in real-time.
Restraint
Artificial intelligence encompasses a range of algorithms, such as machine learning, genetic algorithms, deep learning, and neural networks. These algorithms heavily rely on historical data and features, making any unknown computer system susceptible to zero-day vulnerabilities. Zero-day threats primarily involve advanced persistent threats, wherein unauthorized individuals gain network access and remain undetected for extended periods.
Market Trends
By incorporating intelligent automation into security system AI, the need for manual labor can be significantly diminished in achieving desired objectives. This integration facilitates the automation of identity and access management security measures, which have become increasingly crucial in light of the growing implementation of the zero trust security framework. This framework mandates authentication, authorization, and continuous validation for every network user. Embracing this trend of automation empowers organizations to assign risk scores to potentially suspicious events, rather than abruptly terminating user connections during active sessions.