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表紙：セキュリティ分野向け人工知能（AI）の世界市場-2023年～2030年
市場調査レポート
商品コード
1360032

セキュリティ分野向け人工知能（AI）の世界市場-2023年～2030年

Global Artificial Intelligence (AI) in Security Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 204 Pages | 納期: 約2営業日

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セキュリティ分野向け人工知能（AI）の世界市場-2023年～2030年
出版日: 2023年10月11日
発行: DataM Intelligence
ページ情報: 英文 204 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要：

世界のセキュリティ分野向け人工知能（AI）市場は、2022年に210億米ドルに達し、2023～2030年の予測期間中にCAGR 19.1％で成長し、2030年には542億米ドルに達すると予測されています。

物理的なセキュリティ上の懸念だけでなく、サイバー脅威の増加や複雑性の高まりにより、組織はより高度で自動化されたセキュリティ・ソリューションを求めるようになっています。デジタル時代に生成される膨大な量のデータは、人間の分析者が効率的に処理するには圧倒的な量です。AIによる膨大なデータセットのリアルタイム分析は、脆弱性やリスクの発見に役立つ可能性があります。

例えば、2023年9月21日、サイバーセキュリティの大手企業であるマカフィーは、詐欺をリアルタイムで特定しブロックするよう設計された、AIを活用した革新的な詐欺対策機能を最近発表しました。サイバー脅威が進化を続け、より巧妙になる中、この技術はオンライン・セキュリティの大きな進歩を意味します。AIを搭載した詐欺防止システムは、機械学習アルゴリズムとリアルタイムのデータ分析を活用して詐欺行為を検知します。

アジア太平洋地域は、世界の人工知能（AI）セキュリティ市場の7分の3以上を占める成長地域のひとつであり、この地域では近年、サイバー脅威や攻撃が急増しています。デジタル技術やインターネットへの依存度が高まる中、同地域の企業や政府はサイバーセキュリティの課題に常に直面しています。AIは高度な脅威検知・対応能力を備えており、こうした脅威に対処するための重要なツールとなっています。

ダイナミクス：

政府の取り組みによる市場促進

政府機関は、セキュリティ分野向けAIの研究開発を支援するために多額の資金を割り当てることが多く、こうした投資はAI技術、サイバーセキュリティ・ソリューション、関連プロジェクトの創出に資金を提供することができます。財政支援はイノベーションを促進し、セキュリティ分野向けAIの採用を加速します。政府は、セキュリティ分野向けAI導入のための規制の枠組みや基準を確立します。これらの規制は、責任あるAIの利用、データプライバシー、倫理的な慣行を保証することができます。

カーネギー国際平和財団（Carnegie Endowment for International Peace）の報告書によると、2022年、中国政府は人工知能のガバナンスに対して3つの異なるアプローチを実施し、それぞれ官僚機構の異なる部門によって支持されています。中国サイバースペース管理局（Cybersace Administration of China）は、アルゴリズムの解釈可能性とユーザーの権利保護に関する規定を含む、インターネット推薦アルゴリズムを規制するための規則草案を発表しました。中国サイバースペース管理局（Cyberspace Administration of China）は、複数の規制当局を巻き込みながら、すべてのインターネットアルゴリズムを管理するための3年間のロードマップに取り組んでいます。

AIによる機械学習の導入が脅威とマルウェアを可能にする

サイバー脅威とマルウェア攻撃はますます高度化し、適応力が高まっています。こうした高度な脅威を検知・防止するには、従来のシグネチャベースのアプローチではもはや不十分です。MLとAIは、パターンや行動を分析し、新たな脅威を特定することができます。正常な挙動と悪意のある挙動を認識するモデルを訓練するためには、大規模なデータセットの利用が不可欠です。

米上院軍事委員会の報告書によると、米上院軍事委員会のサイバー小委員会は2022年5月、サイバースペースの領域で人工知能（AI）と機械学習（ML）を活用する意義に焦点を当てた議会公聴会を開催しました。この公聴会には、グーグルとジョージタウン大学安全保障・新興技術センターの主要な代表者が出席しました。

技術進歩による市場促進

マルウェア、ランサムウェア、フィッシング攻撃などのサイバー脅威の複雑化により、AIを活用したセキュリティ・ソリューションの成長に対する強い需要が生まれています。AIはリアルタイムで大量のデータを正確かつ迅速に分析するため、セキュリティ侵害を示すパターンや異常の特定に不可欠です。また、ネットワーク・トラフィックの監視や疑わしい活動のフラグ付けなど、セキュリティ・タスクの多くのルーチンを自動化します。

例えば、エヌビディアは2022年9月20日、製造、物流、ヘルスケアなどの産業におけるセキュリティと安全性を強化するために設計された、高精度エッジAIのためのエヌビディアIGXプラットフォームを発表しました。IGXは、物理世界環境における人間と機械のコラボレーションと安全性の向上を目指しています。IGXは、製造業や物流など規制の厳しい業界で稼働する自律システムの安全性とセキュリティの向上に重点を置いています。

誤認識とデータ漏洩

AIを搭載したセキュリティシステムは、偽陽性や偽陰性（実際の脅威を検出できない）と呼ばれる誤った識別の脅威活動を発生させます。脅威の正確な検知と誤報の最小化との間で適切なバランスを達成することは困難です。サイバー犯罪者は、AIアルゴリズムを操作するために敵対的攻撃を使用することができます。彼らは、検知を回避したり、AIシステムの信頼性を低下させたりするような悪意のある入力を作成することができます。

2023年の米国IBMの報告書によると、全世界のデータ侵害の平均コストは過去最高の445万米ドルに増加し、過去3年間で15％上昇しました。同じ3年間で、検出とエスカレーションのコストは42％大幅に増加し、現在では侵害費用の大半を占めており、より複雑な侵害調査へのシフトを示しています。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 政府の取り組みによる市場促進
      • AIによる機械学習の導入が脅威とマルウェアを可能にする
      • 技術進歩による市場促進
    • 抑制要因
      • 誤認識とデータ漏洩
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 提供別

  • ハードウェア
  • ソフトウェア
  • サービス

第8章 展開方式別

  • クラウド
  • オンプレミス

第9章 セキュリティの種類

  • ネットワーク・セキュリティ
  • エンドポイントセキュリティ
  • アプリケーション・セキュリティ
  • クラウドセキュリティ

第10章 技術別

  • 機械学習
  • 自然言語処理
  • コンテキストアウェア・コンピューティング

第11章 用途別

  • ID・アクセス管理
  • リスク・コンプライアンス管理
  • データ損失防止
  • 統合脅威管理
  • セキュリティ・脆弱性管理
  • その他

第12章 エンドユーザー別

  • 銀行・金融サービス・保険 (BFSI)
  • 小売業
  • 防衛
  • 製造業
  • 企業
  • その他

第13章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第14章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第15章 企業プロファイル

  • Palo Alto Networks Inc.
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • Trellix
  • Darktrace
  • Cyclance Inc.
  • Fortinet, Inc.
  • Nozomi Networks Inc.
  • Bitdefender
  • ESET, s.r.o.
  • ThreatMetrix, Inc.
  • Vectra AI, Inc.

第16章 付録

目次
Product Code: ICT7003

Overview:

Global Artificial Intelligence (AI) in Security Market reached US$ 21.0 billion in 2022 and is expected to reach US$ 54.2 billion by 2030, growing with a CAGR of 19.1% during the forecast period 2023-2030.

The increasing number and rising complexity for cyber threats, as well as physical security concerns, are pushing organizations to seek more advanced and automated security solutions. The sheer volume of data generated in the digital age is overwhelming for human analysts to process effectively. Real-time analysis of enormous data sets by AI could help to find vulnerabilities and risks.

For instance, on 21 September 2023, McAfee, a leading cybersecurity company, recently unveiled an innovative AI-powered scam protection feature designed to identify and block scams in real-time. As cyber threats continue to evolve and become more sophisticated, this technology represents a significant advancement in online security. The AI-powered scam protection system leverages machine learning algorithms and real-time data analysis to detect fraudulent activities.

Asia-Pacific is among the growing regions in the global artificial intelligence (AI) in security market covering more than 3/7th of the market and the region has witnessed a surge in cyber threats and attacks in recent years. With the growing reliance on digital technologies and the internet, businesses and governments in the region face constant cybersecurity challenges. AI offers advanced threat detection and response capabilities, making it a crucial tool for addressing these threats.

Dynamics:

Government Initiatives Boost the Market

Government agencies often allocate substantial funds to support AI research and development in the security domain and these investments can fund the creation of AI technologies, cybersecurity solutions and related projects. Financial support encourages innovation and accelerates the adoption of AI in security. Governments establish regulatory frameworks and standards for AI adoption in security, these regulations can ensure responsible AI usage, data privacy and ethical practices.

According to a report from the Carnegie Endowment for International Peace, in 2022, the Chinese government has implemented three distinct approaches to artificial intelligence governance, each championed by different branches of the bureaucracy and this powerful regulator focuses on rule-based governance for specific AI applications. It released draft rules for regulating internet recommendation algorithms, including provisions for algorithmic interpretability and user rights protection. The Cyberspace Administration of China is working on a three-year roadmap for governing all internet algorithms, involving multiple regulators.

Implementing Machine Learning with AI Enables Threats and Malware

Cyber threats and malware attacks have grown increasingly sophisticated and adaptive. Traditional signature-based approaches are no longer sufficient to detect and prevent these advanced threats. ML and AI can analyze patterns and behaviors to identify novel threats. The availability of large datasets is crucial for training models to recognize normal and malicious behavior.

According to a report from the Senate Committee on Armed Services, U.S. Senate Armed Services Committee's Subcommittee on Cyber held a congressional hearing in May 2022 focused on the significance of leveraging artificial intelligence (AI) and machine learning (ML) in the realm of cyberspace. The hearing featured key representatives from Google and the Center for Security and Emerging Technology at Georgetown University.

Technology Advancement Boosts the Market

The rising complexity of cyber threats like malware, ransomware and phishing attacks has created a strong demand for the growth of AI-powered security solutions. In real-time AI analyzes a large volume of data accurately and quickly which is essential for identifying patterns and anomalies that indicate security breaches. It also automates many routines of security tasks like monitoring network traffic and flagging suspicious activities.

For instance, on 20 September 2022, NVIDIA introduced the NVIDIA IGX platform for high-precision edge AI, designed to enhance security and safety in industries such as manufacturing, logistics and healthcare and this platform is programmable and configurable, providing an adaptable solution for various industries needs. It aims to improve human-machine collaboration and safety in physical-world environments. IGX focuses on improving the safety and security of autonomous systems operating in industries with stringent regulations, such as manufacturing and logistics.

Incorrect Identification and Data Breaches

AI-powered security systems generate incorrect identification threat activity called false positives and false negatives (failing to detect actual threats). Achieving the right balance between accurate threat detection and minimizing false alarms can be challenging. Cybercriminals can use adversarial attacks to manipulate AI algorithms. They can craft malicious inputs designed to evade detection or mislead AI systems, making them less reliable.

According to an IBM report in 2023, the average cost of a data breach worldwide increased to an all-time high of US$ 4.45 Million, a 15% rise over the previous three years. Over the same three-year period, detection and escalation costs significantly increased by 42% and they now make up the majority of breach expenses, indicating a shift toward more involved breach investigations.

Segment Analysis:

The global artificial intelligence (AI) in security market is segmented based on offering, deployment type, security type, technology, application, end-user and region.

AI-Powered Security Solutions in Cloud Environments

Advanced security solutions are becoming more and more important as cyber threats become more complex and widespread. Massive volumes of data may be instantly analyzed by AI, enabling real-time danger detection and reaction. The size and complexity of cloud environments provide many opportunities for possible threats to enter. AI can handle the scale of cloud computing, continuously monitoring and analyzing network traffic, user behavior and system logs.

For instance, on 29 August 2023, Google Cloud leveraged its acquisition of cybersecurity firm Mandiant to offer managed threat-hunting services to its Chronicle Security Operations customers. The service, Mandiant Hunt for Chronicle Security Operations, will provide access to Mandiant's threat-hunting intelligence and personnel within customers' Chronicle environments.

Geographical Penetration:

Rising Cyber Threats Boost the Market

North America is dominating the global artificial intelligence (AI) in security market covering more than 1/3rd of the market particularly U.S. and Canada face a growing and evolving cyber threat landscape. The frequency and sophistication of cyberattacks, data breaches and ransomware incidents have increased. For efficiently identifying, reducing and responding to these dangers, AI is viewed as a crucial tool.

For instance, on 24 April 2023, North Dakota used artificial intelligence and machine learning to enhance its cybersecurity efforts. The state partnered with cybersecurity vendor Palo Alto Networks to build an autonomous security operations center (SOC) to protect 250,000 endpoints, including schools, government offices and police stations. AI and ML help automate low-level security incident resolution and address backlogged incidents, allowing human analysts to focus on more complex tasks.

Competitive Landscape

The major global players in the market include: Palo Alto Networks Inc., Trellix, Darktrace,Cyclance Inc., Fortinet, Inc., Nozomi Networks Inc., , ESET, s.r.o., ThreatMetrix, Inc. and Vectra AI, Inc..

COVID-19 Impact Analysis:

The lockdowns and social distancing measures in place organizations have turned to AI-driven surveillance and security solutions for remote monitoring of facilities and properties. AI-powered cameras and sensors can detect anomalies and potential security threats, reducing the need for physical security personnel on-site. AI-driven cybersecurity tools have become more critical as cyberattacks surged during the pandemic.

AI-driven cybersecurity tools have become more critical as cyberattacks surged during the pandemic. AI systems examine huge quantities of data to quickly identify and address dangers, assisting enterprises in safeguarding their networks and data. Security teams are able to focus on more complex and strategic aspects of security operations since AI has been used to automate regular security duties, such as security incident investigation and response.

Cyberattacks and cyber espionage activities tend to rise during periods of geopolitical crisis. Critical infrastructure, governmental institutions and private organizations may be the target of state-sponsored as well as non-state actors. Cybersecurity solutions powered by AI will be essential in identifying and countering these attacks. The conflict may lead to geopolitical tensions affecting international collaboration in AI research and development.

AI Impact

AI-powered security solutions analyze large amounts of data in real-time which allows for the rapid detection of security threats and anomalies. Machine learning algorithms identify patterns and behaviors associated with cyberattacks and enable quicker response times. Based on previous data and continuous network monitoring, AI may be used to anticipate potential security risks and this proactive approach helps organizations get ready for and stop cyberattacks before they happen.

AI-driven security tools can analyze user and entity behavior to identify suspicious activities. By understanding typical user behavior, AI can flag deviations that may indicate a security breach. AI can automate responses to security incidents, such as isolating compromised devices, blocking malicious traffic or initiating incident response procedures and this automation reduces the response time and minimizes human error.

For instance, on 11 September 2022, Lockheed Martin, in collaboration with the University of Iowa's Operator Performance Laboratory, successfully demonstrated the use of artificial intelligence (AI) in coordinating manned and unmanned aircraft in a simulated air-to-ground mission. The AI agents provided data for rapid decision-making and reduced pilot workload. The success of this demonstration could pave the way for AI-enabled collaboration in Joint All Domain Operations and autonomous mission completion.

Russia- Ukraine War Impact

Cyberattacks and cyber espionage activities tend to rise during periods of geopolitical crisis. Critical infrastructure, governmental institutions and private organizations may be the target of state-sponsored as well as non-state actors. Cybersecurity solutions powered by AI will be essential in identifying and countering these attacks. The conflict may lead to geopolitical tensions affecting international collaboration in AI research and development.

The conflict may disrupt the global supply chain for technology components, including semiconductors and other hardware critical for AI infrastructure. Supply chain disruptions can lead to delays in AI projects and impact the availability of AI-powered security solutions. Organizations and governments reallocate resources and priorities in AI development and deployment based on evolving security threats and national interests and which leads to a shift in focus towards AI technologies with direct relevance to security and defense.

By Offering

  • Hardware
  • Software
  • Services

By Deployment Type

  • Cloud
  • On-Premise

By Security Type

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing

By Application

  • Identity and Access Management
  • Risk and Compliance Management
  • Data Loss Prevention
  • Unified Threat Management
  • Security and Vulnerability Management
  • Others

By End-User

  • BFSI
  • Retail
  • Defense
  • Manufacturing
  • Enterprise
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In October 2022, UBS and Microsoft recently announced an expansion of their relationship. UBS intends to run more than 50% of its applications, including crucial workloads, on Azure during the following five years. This action intends to update UBS's global technological infrastructure and is consistent with the bank's "cloud first" policy.
  • In September 2022, Kyndryl, an independent company spun off from IBM's Managed Infrastructure Services business and Elastic, the company behind Elasticsearch and the Elastic Stack, announced an expanded partnership to enable data observability. The collaboration aims to help organizations gain better insights from their data by leveraging Kyndryl's expertise in data and AI operations alongside Elastic's solutions for search, observability and security.
  • In March 2022, in collaboration with Mastercard, Samsung is developing biometric credit cards with integrated fingerprint scanners and these cards will feature numerous distinct Samsung chips and be compatible with the majority of point-of-sale terminals that support Mastercard chip payments.

Why Purchase the Report?

  • To visualize the global artificial intelligence (AI) in security market segmentation based on offering, deployment type, security type, technology, application, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of artificial intelligence (AI) in security market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global artificial intelligence (AI) in security market report would provide approximately 85 tables, 93 figures and 204 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Deployment Type
  • 3.3. Snippet by Security Type
  • 3.4. Snippet by Technology
  • 3.5. Snippet by Application
  • 3.6. Snippet by End-User
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Government Initiatives Boost the Market
      • 4.1.1.2. Implementing Machine Learning with AI Enables Threats and Malware
      • 4.1.1.3. Technology Advancement Boosts the Market
    • 4.1.2. Restraints
      • 4.1.2.1. Incorrect Identification and Data Breaches
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Offering

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 7.1.2. Market Attractiveness Index, By Offering
  • 7.2. Hardware*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Software
  • 7.4. Services

8. By Deployment Type

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 8.1.2. Market Attractiveness Index, By Deployment Type
  • 8.2. Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. By Security Type

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 9.1.2. Market Attractiveness Index, By Security Type
  • 9.2. Network Security*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Endpoint Security
  • 9.4. Application Security
  • 9.5. Cloud Security

10. By Technology

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.1.2. Market Attractiveness Index, By Technology
  • 10.2. Machine Learning*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Natural Language Processing
  • 10.4. Context-Aware Computing

11. By Application

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.1.2. Market Attractiveness Index, By Application
  • 11.2. Identity and Access Management*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Risk and Compliance Management
  • 11.4. Data Loss Prevention
  • 11.5. Unified Threat Management
  • 11.6. Security and Vulnerability Management
  • 11.7. Others

12. By End-User

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.1.2. Market Attractiveness Index, By End-User
  • 12.2. BFSI*
    • 12.2.1. Introduction
    • 12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3. Retail
  • 12.4. Defense
  • 12.5. Manufacturing
  • 12.6. Enterprise
  • 12.7. Others

13. By Region

  • 13.1. Introduction
    • 13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 13.1.2. Market Attractiveness Index, By Region
  • 13.2. North America
    • 13.2.1. Introduction
    • 13.2.2. Key Region-Specific Dynamics
    • 13.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 13.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 13.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 13.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.2.9.1. U.S.
      • 13.2.9.2. Canada
      • 13.2.9.3. Mexico
  • 13.3. Europe
    • 13.3.1. Introduction
    • 13.3.2. Key Region-Specific Dynamics
    • 13.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 13.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 13.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 13.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.3.9.1. Germany
      • 13.3.9.2. UK
      • 13.3.9.3. France
      • 13.3.9.4. Italy
      • 13.3.9.5. Russia
      • 13.3.9.6. Rest of Europe
  • 13.4. South America
    • 13.4.1. Introduction
    • 13.4.2. Key Region-Specific Dynamics
    • 13.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 13.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 13.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 13.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.4.9.1. Brazil
      • 13.4.9.2. Argentina
      • 13.4.9.3. Rest of South America
  • 13.5. Asia-Pacific
    • 13.5.1. Introduction
    • 13.5.2. Key Region-Specific Dynamics
    • 13.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 13.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 13.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 13.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.5.9.1. China
      • 13.5.9.2. India
      • 13.5.9.3. Japan
      • 13.5.9.4. Australia
      • 13.5.9.5. Rest of Asia-Pacific
  • 13.6. Middle East and Africa
    • 13.6.1. Introduction
    • 13.6.2. Key Region-Specific Dynamics
    • 13.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 13.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
    • 13.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 13.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

14. Competitive Landscape

  • 14.1. Competitive Scenario
  • 14.2. Market Positioning/Share Analysis
  • 14.3. Mergers and Acquisitions Analysis

15. Company Profiles

  • 15.1. Palo Alto Networks Inc.*
    • 15.1.1. Company Overview
    • 15.1.2. Product Portfolio and Description
    • 15.1.3. Financial Overview
    • 15.1.4. Key Developments
  • 15.2. Trellix
  • 15.3. Darktrace
  • 15.4. Cyclance Inc.
  • 15.5. Fortinet, Inc.
  • 15.6. Nozomi Networks Inc.
  • 15.7. Bitdefender
  • 15.8. ESET, s.r.o.
  • 15.9. ThreatMetrix, Inc.
  • 15.10. Vectra AI, Inc.

LIST NOT EXHAUSTIVE

16. Appendix

  • 16.1. About Us and Services
  • 16.2. Contact Us