エッジコンピューティングを利用した顔認識市場：コンポーネント、デバイスタイプ、アプリケーション別-2025-2030年の世界予測

エッジコンピューティングを利用した顔認識市場の2023年の市場規模は16億2,000万米ドルで、2024年には19億6,000万米ドルに達すると予測され、CAGR 20.55％で成長し、2030年には60億2,000万米ドルに達すると予測されています。

エッジコンピューティングを利用した顔認識は2つの最先端技術を統合し、データが生成される場所で直接リアルタイムのデータ処理と分析を提供し、スピードとセキュリティを強化します。この統合の必要性は、カメラやスマートフォンなどのデバイス上で顔認識タスクを迅速、効率的、かつ安全に処理したいという要求の高まりから生じています。その用途は幅広く、セキュリティや監視、小売分析、ヘルスケア、パーソナライズされたサービスなど多岐にわたる。エンドユーザーには主に、法執行機関、企業セキュリティ、家電製品などの分野が含まれます。同市場は、技術の進歩、セキュリティ懸念の高まり、IoTデバイスの普及といった要因の影響を受けています。重要な成長要因は、待ち時間を最小限に抑え、意思決定を強化するリアルタイム処理の需要です。集中型データ処理のインフラ整備が遅れている発展途上地域にはビジネスチャンスが多く、エッジ・ソリューションがより現実的なものとなっています。さらに、スマートシティの導入が進むことで、交通管理や都市のセキュリティに革新的なアプリケーションの道が開かれます。しかし、同市場は、データ・プライバシーに関する懸念、初期設定コストの高さ、クラウド・ソリューションと比べたエッジ・デバイスの処理能力の限界といった課題に直面しています。また、データの利用と保護に関する規制上のハードルも大きな障壁となっています。新たなビジネスチャンスを捉えるために、企業は効率的なエッジアルゴリズムとデバイス間通信プロトコルの開発におけるイノベーションに注力し、プライバシーに関する懸念を軽減するための強固なサイバーセキュリティ対策を確保すべきです。調査は、エネルギー効率の高いハードウェアとエッジAIの進歩を探求し、スケーラブルな展開を促進することができます。急速な技術進化と規制のシフトによって強調される市場のダイナミックな性質により、継続的な調査と適応が不可欠です。企業は戦略的パートナーシップを維持し、R&Dに投資し、市場の変遷に機敏に対応することで、技術的ブレークスルーを活用し、新たな標準を効果的に遵守できるようにしなければならないです。

市場力学：急速に進化するエッジコンピューティングを利用した顔認識市場の主要市場インサイトを公開

エッジコンピューティングを利用した顔認識市場は、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、戦略的意思決定、新たなビジネスチャンスの獲得を行うことができます。こうした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るとともに、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
  • エッジコンピューティングを利用した顔認識の採用拡大
  • 顔認識アプリケーションにおける待ち時間特有の問題を解決するための採用拡大
  • リアルタイムかつインテリジェントなアプリケーションへの対応
• 市場抑制要因
  • セキュリティとユーザーの移動性に関する問題
• 市場機会
  • ビジネスプロセスを改善するためのシームレスでパーソナライズされたエクスペリエンス
  • AIドローンやビデオ監視との統合の増加
• 市場の課題
  • 組み込みデバイスの技術的・計算上の問題

ポーターの5つの力：エッジコンピューティングを利用した顔認識市場をナビゲートする戦略ツール

ポーターの5つの力フレームワークは、エッジコンピューティングを利用した顔認識市場の競合情勢を理解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：エッジコンピューティングを利用した顔認識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、エッジコンピューティングを利用した顔認識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。

市場シェア分析エッジコンピューティングを利用した顔認識市場における競合情勢の把握

エッジコンピューティングを利用した顔認識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・マトリックスエッジコンピューティングを利用した顔認識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、エッジコンピューティングを利用した顔認識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つの象限によりベンダーを明確かつ的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。

戦略分析と推奨エッジコンピューティングを利用した顔認識市場における成功への道筋を描く

エッジコンピューティングを利用した顔認識市場の戦略分析は、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、業績指標を検討することで、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
    • エッジコンピューティングを使用した顔認識の採用の増加
    • 顔認識アプリケーションにおける遅延特有の問題を解決するための採用が拡大
    • リアルタイムでインテリジェントなアプリケーションをサポート
  • 抑制要因
    • セキュリティとユーザーのモビリティに関する問題
  • 機会
    • ビジネスプロセスを改善するためのシームレスでパーソナライズされたエクスペリエンス
    • AIドローンとビデオ監視の統合の拡大
  • 課題
    • 組み込みデバイスに関する技術的および計算上の問題
• 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 エッジコンピューティングを利用した顔認識市場：コンポーネント別

• ハードウェア
• サービス
• ソフトウェア

第7章 エッジコンピューティングを利用した顔認識市場デバイスタイプ別

• 統合型
• スタンドアロン

第8章 エッジコンピューティングを利用した顔認識市場：用途別

• アクセス制御
• 広告
• 出席追跡と監視
• Eラーニング
• 感情認識
• 法執行機関
• 支払い
• ロボット工学

第9章 南北アメリカのエッジコンピューティングを利用した顔認識市場

• 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エッジコンピューティングを利用した顔認識市場

• 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・アフリカのエッジコンピューティングを利用した顔認識市場

• 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

• Alphabet, Inc.
• Arm Holdings
• Cisco Systems, Inc.
• Clarifai, Inc.
• Huawei Technologies Co., Ltd.
• IDEMIA Group
• IDEMIA NSS, LLC
• Innovatrics
• International Business Machines Corporation
• Micron Technology, Inc.
• Microsoft Corporation
• NEC Corporation by AT&T Inc.
• NVIDIA Corporation
• Oosto by AnyVision Interactive Technologies Ltd.
• Qualcomm Incorporated
• Samsung Electronics Co., Ltd.
• Xailient Inc.

LIST OF FIGURES

• FIGURE 1. FACE RECOGNITION USING EDGE COMPUTING MARKET RESEARCH PROCESS
• FIGURE 2. FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. FACE RECOGNITION USING EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. FACE RECOGNITION USING EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. FACE RECOGNITION USING EDGE COMPUTING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. FACE RECOGNITION USING EDGE COMPUTING MARKET DYNAMICS
• TABLE 7. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY INTEGRATED, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STANDALONE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ACCESS CONTROL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ADVERTISING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ATTENDANCE TRACKING & MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY E-LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY EMOTION RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY LAW ENFORCEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY PAYMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 26. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 27. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 28. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 29. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 30. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 31. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 32. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 33. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 34. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 35. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 36. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 37. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 38. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 39. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 42. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 43. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 46. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 47. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 48. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 49. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 50. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 51. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 52. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 53. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 54. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 55. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 56. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 57. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 58. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 59. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 60. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 61. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 62. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 63. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 64. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 65. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 66. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 67. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 68. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 69. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 70. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 71. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 72. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 73. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 74. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 75. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 76. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 77. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 78. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 79. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 80. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 81. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 82. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 83. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 86. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 87. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 88. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 89. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 90. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 91. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 92. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 93. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 94. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 95. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 96. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 97. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 98. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 99. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 100. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 101. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 102. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 103. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 104. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 105. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 106. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 107. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 108. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 109. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 110. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 111. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 112. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 113. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 114. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 115. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 116. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 117. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 118. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 119. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 120. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 121. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 122. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 123. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 124. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 125. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 126. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 127. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 128. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 129. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 131. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 132. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 133. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 134. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 135. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 136. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 137. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 138. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 139. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 140. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 141. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 142. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 143. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 144. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 145. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 146. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 147. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 148. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 149. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 150. FACE RECOGNITION USING EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 151. FACE RECOGNITION USING EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023

The Face Recognition using Edge Computing Market was valued at USD 1.62 billion in 2023, expected to reach USD 1.96 billion in 2024, and is projected to grow at a CAGR of 20.55%, to USD 6.02 billion by 2030.

Face recognition using edge computing merges two cutting-edge technologies to deliver real-time data processing and analysis directly where data is generated, enhancing speed and security. This integration's necessity arises from the increasing demand for rapid, efficient, and secure processing of facial recognition tasks on devices like cameras and smartphones. Its applications are widespread, spanning across security and surveillance, retail analytics, healthcare, and personalized services. End-users primarily include sectors like law enforcement, enterprise security, and consumer electronics. The market is influenced by factors such as technological advancements, rising security concerns, and the proliferation of IoT devices. A significant growth driver is the demand for real-time processing, which minimizes latency and enhances decision-making. Opportunities abound in developing regions where infrastructure for centralized data processing lags, making edge solutions more viable. Furthermore, the increasing adoption of smart cities paves the way for innovative applications in traffic management and urban security. However, the market faces challenges such as data privacy concerns, high initial setup costs, and limited processing power of edge devices compared to cloud solutions. Regulatory hurdles concerning data use and protection also pose significant barriers. To capture emerging opportunities, businesses should focus on innovation in the development of efficient edge algorithms and inter-device communication protocols, ensuring robust cybersecurity measures to mitigate privacy concerns. Research could explore energy-efficient hardware and edge AI advancements, facilitating scalable deployments. With the market's dynamic nature underscored by rapid tech evolution and regulatory shifts, ongoing research and adaptation are essential. Companies must maintain strategic partnerships, invest in R&D, and remain agile in responses to market transitions, enabling them to leverage technological breakthroughs and adhere to emerging standards effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Face Recognition using Edge Computing Market

The Face Recognition using Edge Computing 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
  • Increasing adoption of facial recognition using edge computing
  • Growing adoption to resolve latency-specific issues in face recognition applications
  • Succoring real-time and intelligent applications
• Market Restraints
  • Issues over security and user mobility
• Market Opportunities
  • Seamless and personalized experience to improve business processes
  • Increasing integration with AI drones and video surveillance
• Market Challenges
  • Technical and computational issues with embedded device

Porter's Five Forces: A Strategic Tool for Navigating the Face Recognition using Edge Computing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Face Recognition using Edge Computing 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 Face Recognition using Edge Computing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Face Recognition using Edge Computing 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 Face Recognition using Edge Computing Market

A detailed market share analysis in the Face Recognition using Edge Computing 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 Face Recognition using Edge Computing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Face Recognition using Edge Computing 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 Face Recognition using Edge Computing Market

A strategic analysis of the Face Recognition using Edge Computing 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 Face Recognition using Edge Computing Market, highlighting leading vendors and their innovative profiles. These include Alphabet, Inc., Arm Holdings, Cisco Systems, Inc., Clarifai, Inc., Huawei Technologies Co., Ltd., IDEMIA Group, IDEMIA NSS, LLC, Innovatrics, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NEC Corporation by AT&T Inc., NVIDIA Corporation, Oosto by AnyVision Interactive Technologies Ltd., Qualcomm Incorporated, Samsung Electronics Co., Ltd., and Xailient Inc..

Market Segmentation & Coverage

This research report categorizes the Face Recognition using Edge Computing Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Device Type, market is studied across Integrated and Standalone.
• Based on Application, market is studied across Access Control, Advertising, Attendance Tracking & Monitoring, E-Learning, Emotion Recognition, Law Enforcement, Payment, and Robotics.
• 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. Increasing adoption of facial recognition using edge computing
    • 5.1.1.2. Growing adoption to resolve latency-specific issues in face recognition applications
    • 5.1.1.3. Succoring real-time and intelligent applications
  • 5.1.2. Restraints
    • 5.1.2.1. Issues over security and user mobility
  • 5.1.3. Opportunities
    • 5.1.3.1. Seamless and personalized experience to improve business processes
    • 5.1.3.2. Increasing integration with AI drones and video surveillance
  • 5.1.4. Challenges
    • 5.1.4.1. Technical and computational issues with embedded device
• 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. Face Recognition using Edge Computing Market, by Component

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

7. Face Recognition using Edge Computing Market, by Device Type

• 7.1. Introduction
• 7.2. Integrated
• 7.3. Standalone

8. Face Recognition using Edge Computing Market, by Application

• 8.1. Introduction
• 8.2. Access Control
• 8.3. Advertising
• 8.4. Attendance Tracking & Monitoring
• 8.5. E-Learning
• 8.6. Emotion Recognition
• 8.7. Law Enforcement
• 8.8. Payment
• 8.9. Robotics

9. Americas Face Recognition using Edge Computing Market

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

10. Asia-Pacific Face Recognition using Edge Computing 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 Face Recognition using Edge Computing 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. Alphabet, Inc.
• 2. Arm Holdings
• 3. Cisco Systems, Inc.
• 4. Clarifai, Inc.
• 5. Huawei Technologies Co., Ltd.
• 6. IDEMIA Group
• 7. IDEMIA NSS, LLC
• 8. Innovatrics
• 9. International Business Machines Corporation
• 10. Micron Technology, Inc.
• 11. Microsoft Corporation
• 12. NEC Corporation by AT&T Inc.
• 13. NVIDIA Corporation
• 14. Oosto by AnyVision Interactive Technologies Ltd.
• 15. Qualcomm Incorporated
• 16. Samsung Electronics Co., Ltd.
• 17. Xailient Inc.