セキュリティにおける人工知能市場：セキュリティタイプ、展開、エンドユーザー産業別-2025-2030年の世界予測

セキュリティにおける人工知能市場の2023年の市場規模は271億1,000万米ドルで、2024年には334億1,000万米ドルに達すると予測され、CAGR 23.55％で成長し、2030年には1,192億2,000万米ドルに達すると予測されています。

セキュリティにおける人工知能（AI）の範囲には、インテリジェントなデータ処理、脅威の検出、対応の自動化を通じてデジタル資産と物理資産の保護を強化する技術とシステムが含まれます。この領域は、サイバー脅威の高度化と攻撃を受けやすいネットワーク・インフラの拡大により、ますます重要になっています。セキュリティにおけるAIの必要性は、膨大なデータセットを分析し、異常を検出し、従来のセキュリティ対策よりも迅速かつ高い精度で先制措置を実行する能力に起因します。マルウェア検知、脅威インテリジェンス、ID・アクセス管理、インシデント対応の自動化など、その用途は多岐にわたる。主なエンドユースセクターは、銀行、金融サービス、保険（BFSI）、政府機関、ヘルスケア、エネルギーや輸送などの重要インフラなどです。

市場成長の原動力は、ビジネスのデジタル化の進展、サイバー犯罪の増加、厳格なデータ保護規制へのコンプライアンスの必要性です。機械学習アルゴリズムと自然言語処理における最近の進歩は、技術革新の可能性にさらに拍車をかけ、より洗練された脅威の検知と対応能力を可能にします。特定の脆弱性に直面するIoTデバイスやクラウド環境に合わせたAI主導のセキュリティ・ソリューションの開発にチャンスがあります。しかし、初期コストの高さ、熟練した専門家の不足、データ・プライバシーや倫理的なAI利用に対する懸念といった課題が、成長の妨げとなっています。

予測分析のためのAI技術や、レイテンシーを短縮し効率を向上させるための分散型／エッジベースのセキュリティ・ソリューションに注力することで、イノベーションは大きな恩恵を受けることができます。セキュリティにおけるAIの市場はダイナミックであり、技術の進歩やサイバー脅威のランドスケープとともに進化しています。企業は、実社会での適用可能性を確保しつつイノベーションを促進するために、パートナーシップや協業エコシステムに投資すべきです。AIアプリケーションの透明性と、倫理的なAI利用のためのフレームワークの継続的な開発は、信頼の障壁を克服する上で極めて重要です。AIの研究コミュニティと連携し、官民連携に参加することで、AIセキュリティ・ソリューションにおける最先端の考察と競合優位性を企業に提供できる可能性があります。

市場力学：急速に進化するセキュリティにおける人工知能市場の主要市場インサイトを公開

セキュリティにおける人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 世界のサイバー攻撃の増加
  • データ量の増加とデータセキュリティ・ソリューションの強化
  • データのリアルタイム分析への需要
• 市場抑制要因
  • AIセキュリティシステムの導入と保守にかかるコストの高さ
• 市場機会
  • 脅威検知を強化するためのAIベースのセキュリティシステムの技術的進歩
  • 予測分析との統合とクラウドセキュリティソリューションの必要性
• 市場の課題
  • ITインフラとの統合の複雑さとデータ漏洩の懸念

ポーターのファイブフォース：セキュリティにおける人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォース」フレームワークは、市場情勢の競合情勢を把握するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：セキュリティにおける人工知能市場における外部からの影響の把握

外部マクロ環境要因は、セキュリティにおける人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析セキュリティにおける人工知能市場における競合情勢の把握

セキュリティにおける人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックスセキュリティにおける人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、セキュリティにおける人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨セキュリティにおける人工知能市場における成功への道筋を描く

セキュリティにおける人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 世界中でサイバー攻撃の発生が増加
    • データ量の増加とデータセキュリティソリューションの強化
    • リアルタイムのデータ分析の需要
  • 抑制要因
    • AIセキュリティシステムの導入と保守にかかるコストが高い
  • 機会
    • 脅威検出を強化するAIベースのセキュリティシステムの技術的進歩
    • 予測分析との統合とクラウドセキュリティソリューションの必要性
  • 課題
    • ITインフラストラクチャとの統合の複雑さとデータ漏洩の懸念
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 セキュリティにおける人工知能市場セキュリティタイプ別

• アプリケーションセキュリティ
• クラウドセキュリティ
• ネットワークセキュリティ

第7章 セキュリティにおける人工知能市場：展開別

• クラウド上
• オンプレミス

第8章 セキュリティにおける人工知能市場：エンドユーザー業界別

• 自動車・輸送
• BFSI
• 防衛
• 政府
• ヘルスケア
• 製造業
• 小売り

第9章 南北アメリカのセキュリティにおける人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域のセキュリティにおける人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカのセキュリティにおける人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Acalvio Technologies, Inc.
• Amazon Web Services, Inc.
• Balbix, Inc.
• BlackBerry Limited
• Check Point Software Technologies Ltd.
• Cisco Systems, Inc.
• CrowdStrike, Inc.
• Darktrace Holdings Limited
• Google LLC by Alphabet Inc.
• Intel Corporation
• International Business Machines Corporation
• LexisNexis Risk Solutions
• Micron Technology, Inc.
• Microsoft Corporation
• Musarubra US LLC
• NortonLifeLock Inc.
• NVIDIA Corporation
• Palo Alto Networks, Inc.
• Securonix, Inc.
• SenseOn Tech Limited
• ServiceNow, Inc.
• Sift Science, Inc.
• SparkCognition, Inc.
• Vectra AI, Inc.

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY APPLICATION SECURITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY CLOUD SECURITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY NETWORK SECURITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEFENSE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY GOVERNMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 23. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 26. ARGENTINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 27. ARGENTINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 28. ARGENTINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 29. BRAZIL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 30. BRAZIL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 31. BRAZIL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 32. CANADA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 33. CANADA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 35. MEXICO ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 36. MEXICO ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 37. MEXICO ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 38. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 39. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 42. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 43. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 46. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 47. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 48. AUSTRALIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 49. CHINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 50. CHINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 51. CHINA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 52. INDIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 53. INDIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 54. INDIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 55. INDONESIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 56. INDONESIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 57. INDONESIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 58. JAPAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 59. JAPAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 60. JAPAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 61. MALAYSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 62. MALAYSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 63. MALAYSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 64. PHILIPPINES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 65. PHILIPPINES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 66. PHILIPPINES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 67. SINGAPORE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 68. SINGAPORE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 69. SINGAPORE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 70. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 71. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 72. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 73. TAIWAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 74. TAIWAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 75. TAIWAN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 76. THAILAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 77. THAILAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 78. THAILAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 79. VIETNAM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 80. VIETNAM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 81. VIETNAM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 82. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 83. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 86. DENMARK ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 87. DENMARK ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 88. DENMARK ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 89. EGYPT ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 90. EGYPT ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 91. EGYPT ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 92. FINLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 93. FINLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 94. FINLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 95. FRANCE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 96. FRANCE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 97. FRANCE ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 98. GERMANY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 99. GERMANY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 100. GERMANY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 101. ISRAEL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 102. ISRAEL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 103. ISRAEL ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 104. ITALY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 105. ITALY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 106. ITALY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 107. NETHERLANDS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 108. NETHERLANDS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 109. NETHERLANDS ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 110. NIGERIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 111. NIGERIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 112. NIGERIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 113. NORWAY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 114. NORWAY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 115. NORWAY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 116. POLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 117. POLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 118. POLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 119. QATAR ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 120. QATAR ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 121. QATAR ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 122. RUSSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 123. RUSSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 124. RUSSIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 125. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 126. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 127. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 128. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 129. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 131. SPAIN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 132. SPAIN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 133. SPAIN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 134. SWEDEN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 135. SWEDEN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 136. SWEDEN ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 137. SWITZERLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 138. SWITZERLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 139. SWITZERLAND ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 140. TURKEY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 141. TURKEY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 142. TURKEY ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 143. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 144. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 145. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 146. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY SECURITY TYPE, 2018-2030 (USD MILLION)
• TABLE 147. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
• TABLE 148. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 149. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 150. ARTIFICIAL INTELLIGENCE IN SECURITY MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Security Market was valued at USD 27.11 billion in 2023, expected to reach USD 33.41 billion in 2024, and is projected to grow at a CAGR of 23.55%, to USD 119.22 billion by 2030.

The scope of artificial intelligence (AI) in security encompasses technologies and systems that enhance the protection of digital and physical assets through intelligent data processing, threat detection, and response automation. This domain is increasingly crucial due to the rising sophistication of cyber threats and the expansion of network infrastructures susceptible to attacks. The necessity of AI in security stems from its ability to analyze vast data sets, detect anomalies, and execute preemptive actions faster and with higher accuracy than traditional security measures. Applications are diverse, including malware detection, threat intelligence, identity and access management, and automated incident response. Key end-use sectors are banking, financial services, and insurance (BFSI), government, healthcare, and critical infrastructures like energy and transportation.

Market growth is driven by the increasing digitization of businesses, growing incidents of cybercrime, and the need for compliance with stringent data protection regulations. Recent advancements in machine learning algorithms and natural language processing further fuel innovation possibilities, enabling more sophisticated threat detection and response capabilities. Opportunities lie in developing AI-driven security solutions tailored for IoT devices and cloud environments, which face specific vulnerabilities. However, growth is hampered by challenges such as high initial costs, a shortage of skilled professionals, and concerns over data privacy and ethical AI use.

Innovation can significantly benefit from focusing on AI techniques for predictive analytics and decentralized/edge-based security solutions to reduce latency and improve efficiency. The market for AI in security is dynamic, evolving alongside technological advancements and cyber threat landscapes. Companies should invest in partnerships and collaborative ecosystems to foster innovation while ensuring real-world applicability. Transparency in AI applications and ongoing development of frameworks for ethical AI usage will be crucial to overcoming trust barriers. Engaging with AI research communities and participating in public-private sector collaborations could provide businesses with cutting-edge insights and competitive advantages in AI security solutions.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Security Market

The Artificial Intelligence in Security Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising incidences of cyber attacks worldwide
  • Increase data volume and for enhanced data security solutions
  • Demand for real-time analysis of data
• Market Restraints
  • High cost of implementation and maintenance of AI security systems
• Market Opportunities
  • Technological advancements in AI-based security systems to enhance threat detection
  • Integration with predictive analytics and the need for cloud security solutions
• Market Challenges
  • Complexity in integrating with IT infrastructure and data breach concerns

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Security Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Security Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Security Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Security Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Security Market

A detailed market share analysis in the Artificial Intelligence in Security Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Security Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Security Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Security Market

A strategic analysis of the Artificial Intelligence in Security Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Security Market, highlighting leading vendors and their innovative profiles. These include Acalvio Technologies, Inc., Amazon Web Services, Inc., Balbix, Inc., BlackBerry Limited, Check Point Software Technologies Ltd., Cisco Systems, Inc., CrowdStrike, Inc., Darktrace Holdings Limited, Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions, Micron Technology, Inc., Microsoft Corporation, Musarubra US LLC, NortonLifeLock Inc., NVIDIA Corporation, Palo Alto Networks, Inc., Securonix, Inc., SenseOn Tech Limited, ServiceNow, Inc., Sift Science, Inc., SparkCognition, Inc., and Vectra AI, Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Security Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Security Type, market is studied across Application Security, Cloud Security, and Network Security.
• Based on Deployment, market is studied across On-Cloud and On-Premises.
• Based on End-user Industry, market is studied across Automotive & Transportation, BFSI, Defense, Government, Healthcare, Manufacturing, and Retail.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising incidences of cyber attacks worldwide
    • 5.1.1.2. Increase data volume and for enhanced data security solutions
    • 5.1.1.3. Demand for real-time analysis of data
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of implementation and maintenance of AI security systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements in AI-based security systems to enhance threat detection
    • 5.1.3.2. Integration with predictive analytics and the need for cloud security solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Complexity in integrating with IT infrastructure and data breach concerns
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Security Market, by Security Type

• 6.1. Introduction
• 6.2. Application Security
• 6.3. Cloud Security
• 6.4. Network Security

7. Artificial Intelligence in Security Market, by Deployment

• 7.1. Introduction
• 7.2. On-Cloud
• 7.3. On-Premises

8. Artificial Intelligence in Security Market, by End-user Industry

• 8.1. Introduction
• 8.2. Automotive & Transportation
• 8.3. BFSI
• 8.4. Defense
• 8.5. Government
• 8.6. Healthcare
• 8.7. Manufacturing
• 8.8. Retail

9. Americas Artificial Intelligence in Security Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Security Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Security Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Acalvio Technologies, Inc.
• 2. Amazon Web Services, Inc.
• 3. Balbix, Inc.
• 4. BlackBerry Limited
• 5. Check Point Software Technologies Ltd.
• 6. Cisco Systems, Inc.
• 7. CrowdStrike, Inc.
• 8. Darktrace Holdings Limited
• 9. Google LLC by Alphabet Inc.
• 10. Intel Corporation
• 11. International Business Machines Corporation
• 12. LexisNexis Risk Solutions
• 13. Micron Technology, Inc.
• 14. Microsoft Corporation
• 15. Musarubra US LLC
• 16. NortonLifeLock Inc.
• 17. NVIDIA Corporation
• 18. Palo Alto Networks, Inc.
• 19. Securonix, Inc.
• 20. SenseOn Tech Limited
• 21. ServiceNow, Inc.
• 22. Sift Science, Inc.
• 23. SparkCognition, Inc.
• 24. Vectra AI, Inc.