市場調査レポート
商品コード
1611938

AIエッジコンピューティング市場:コンポーネント、データソース、アプリケーション、エンドユーザー別-2025-2030年の世界予測

AI Edge Computing Market by Component (Hardware, Services, Software), Data Source (Biometric Data, Mobile Data, Sensor Data), Application, End-User - Global Forecast 2025-2030


出版日
発行
360iResearch
ページ情報
英文 189 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=153.81円
AIエッジコンピューティング市場:コンポーネント、データソース、アプリケーション、エンドユーザー別-2025-2030年の世界予測
出版日: 2024年12月01日
発行: 360iResearch
ページ情報: 英文 189 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

AIエッジコンピューティング市場の2023年の市場規模は221億3,000万米ドル、2024年には267億3,000万米ドルに達すると予測され、CAGR 21.44%で成長し、2030年には862億4,000万米ドルに達すると予測されています。

AIエッジコンピューティングとは、集中型のクラウド・コンピューティング・インフラに依存するのではなく、エンドユーザー・デバイスやデータ・ソースの近くにローカルに人工知能アプリケーションを展開することを指します。このアプローチは、リアルタイムのデータ処理、待ち時間の短縮、プライバシーの強化に対する需要の高まりから不可欠です。エッジAIは、自律走行車、ヘルスケア、スマートホーム、産業オートメーションなど、さまざまな分野で応用されています。製造、通信、小売などのエンドユーザー部門は、データ主権の強化や帯域幅コストの削減などの利点を活用するため、エッジAI技術に多額の投資を行っています。同市場は、AIアルゴリズムの急速な進歩、IoTデバイスの普及、エッジデバイスのコンピューティング能力強化といった要因によって大きく牽引されています。ニッチ市場に特化したオーダーメイドのAIソリューション開発にはビジネスチャンスが存在し、開発者はオープンソースのAIエッジプラットフォームを活用したり、競争優位性を得るために特化したハードウェアを開発したりすることができます。しかし、同市場は、AIエッジ・ソリューションと既存のITインフラとの統合の複雑さ、データ・セキュリティへの懸念、導入コストの高さといった課題に直面しています。こうした制約を克服するため、企業はIT企業やサイバーセキュリティ企業との提携を優先し、エッジAIネットワークを強化すべきです。研究開発は、制約の多いエッジデバイス上でのAIモデルの効率改善、相互運用性の強化、強固なデータ保護対策の確保に注力すべきです。電力効率の高いプロセッサー、エッジAIハードウェアアクセラレーター、連携学習フレームワークの革新は、ビジネス成長の有望分野です。新興企業や大手企業が最先端のエッジ・ソリューション開発にリソースを投入しているため、市場は本質的にダイナミックで競争が激しく、継続的な適応が求められます。企業は、新たな動向を効果的に活用するために、こうした技術の進歩や規制の変更に常に対応する必要があります。パーソナライズされたスケーラブルなエッジAIアプリケーションの分野に集中することで、企業はこの進化する領域で長期的な成功へと舵を切ることができます。

主な市場の統計
基準年[2023] 221億3,000万米ドル
推定年[2024] 267億3,000万米ドル
予測年[2030] 862億4,000万米ドル
CAGR(%) 21.44%

市場力学:急速に進化するAIエッジコンピューティング市場の主要市場インサイトを公開

AIエッジコンピューティング市場は、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
    • スマートデバイスに対する顧客の傾向の高まり
    • デジタルインフラにおける予知保全の採用が世界的に増加
    • 企業におけるコストと業務の効率化の必要性
  • 市場抑制要因
    • 膨大なデータ生成による遅延の問題
  • 市場機会
    • 様々なエンドユーザー産業におけるAIエッジコンピューティング統合への投資
    • スマートシティにおけるAIエッジコンピューティングのインテリジェントな交通制御や駐車場通信への採用
  • 市場の課題
    • AIエッジコンピューティングに関連するデータプライバシーとセキュリティの懸念

ポーターのファイブフォース:AIエッジコンピューティング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、AIエッジコンピューティング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:AIエッジコンピューティング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、AIエッジコンピューティング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AIエッジコンピューティング市場における競合情勢の把握

AIエッジコンピューティング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AIエッジコンピューティング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、AIエッジコンピューティング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AIエッジコンピューティング市場における成功への道筋を描く

AIエッジコンピューティング市場の戦略分析は、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
      • スマートデバイスに対する顧客の嗜好の高まり
      • 世界中でデジタルインフラにおける予知保全の導入が増加
      • 企業におけるコストと業務効率の必要性
    • 抑制要因
      • 大量のデータ生成による遅延の問題
    • 機会
      • さまざまなエンドユーザー産業にAIエッジコンピューティングを統合するための投資
      • スマートシティにおけるインテリジェントな交通制御と駐車場通信のためのAIエッジコンピューティングの採用
    • 課題
      • AIエッジコンピューティングに関連するデータのプライバシーとセキュリティに関する懸念
  • 市場セグメンテーション分析
    • コンポーネント:リアルタイム分析のためのソフトウェアコンポーネントの使用を拡大
    • データソース:モバイルデータ需要の増加

第5章 2.3.アプリケーション:

    • エンドユーザー:ネットワーク運用の最適化と顧客体験の向上を目的としたIT・通信部門による利用の増加
  • 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 AIエッジコンピューティング市場: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 AIエッジコンピューティング市場データソース別

  • 生体認証データ
  • モバイルデータ
  • センサーデータ

第8章 AIエッジコンピューティング市場:用途別

  • アクセス管理
  • 自動運転車
  • エネルギー管理
  • リモート監視と予測メンテナンス
  • テレメトリー
  • ビデオ監視

第9章 AIエッジコンピューティング市場:エンドユーザー別

  • 自動車
  • エネルギー・公益事業
  • 政府と公共
  • ヘルスケア
  • ITおよび通信
  • 製造業

第10章 南北アメリカのAIエッジコンピューティング市場

  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第11章 アジア太平洋地域のAIエッジコンピューティング市場

  • 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12章 欧州・中東・アフリカのAIエッジコンピューティング市場

  • 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13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
    • EdgeCortix、技術開発と世界展開のために2,000万米ドルを調達
    • レノボはエッジでAIを提供し、データに次世代のインテリジェンスをもたらします
    • Unigen、コンパクトなエッジAIコンピューティングソリューションを発表
  • 戦略分析と提言

企業一覧

  • ABB Ltd.
  • ADLINK Technology Inc.
  • Advantech Co., Ltd.
  • Akamai Technologies, Inc.
  • Amazon Web Services, Inc.
  • Atos SE
  • Broadcom Inc.
  • Cisco Systems, Inc.
  • Cloudera, Inc.
  • Dell Inc.
  • EdgeConneX, Inc.
  • EdgeCortix, Inc.
  • Fastly, Inc.
  • General Electric Company
  • Hewlett Packard Enterprise Development LP
  • Honeywell International Inc.
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • International Business Machines Corporation
  • Lenovo Group Limited
  • Microsoft Corporation
  • NVIDIA Corporation
  • Robert Bosch GmbH
  • Rockwell Automation, Inc.
  • SAP SE
  • Schneider Electric SE
  • Siemens AG
  • Sterlite Technologies Limited
  • Tata Elxsi Limited
  • Teksun Inc.
  • Telefonaktiebolaget LM Ericsson
  • Unigen Corporation
図表

LIST OF FIGURES

  • FIGURE 1. AI EDGE COMPUTING MARKET RESEARCH PROCESS
  • FIGURE 2. AI EDGE COMPUTING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL AI EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. AI EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. AI EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. AI EDGE COMPUTING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL AI EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI EDGE COMPUTING MARKET DYNAMICS
  • TABLE 7. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY BIOMETRIC DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY MOBILE DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SENSOR DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ACCESS MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY AUTONOMOUS VEHICLES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ENERGY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REMOTE MONITORING & PREDICTIVE MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY TELEMETRY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY VIDEO SURVEILLANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY GOVERNMENT & PUBLIC, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY IT & TELECOM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 37. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 49. MEXICO AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 53. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 54. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 57. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 58. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 59. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 61. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 62. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 65. CHINA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 66. CHINA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 67. CHINA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 69. INDIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 70. INDIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 71. INDIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 73. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 74. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 77. JAPAN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 78. JAPAN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 79. JAPAN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 81. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 82. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 85. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 86. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 89. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 90. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 93. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 94. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 97. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 98. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 99. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 101. THAILAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 102. THAILAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. THAILAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 105. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 106. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 110. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 112. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 114. DENMARK AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 115. DENMARK AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 116. DENMARK AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 118. EGYPT AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 119. EGYPT AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 120. EGYPT AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 122. FINLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 123. FINLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 124. FINLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 126. FRANCE AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 127. FRANCE AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 128. FRANCE AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 130. GERMANY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 131. GERMANY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 132. GERMANY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 134. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 135. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 136. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 138. ITALY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 139. ITALY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 140. ITALY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 142. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 143. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 144. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 146. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 147. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 148. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 150. NORWAY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 151. NORWAY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 152. NORWAY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 154. POLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 155. POLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 156. POLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 158. QATAR AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 159. QATAR AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 160. QATAR AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 162. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 163. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 164. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 166. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 167. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 171. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 172. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 174. SPAIN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 175. SPAIN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 176. SPAIN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 179. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 180. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 182. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 183. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 184. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 186. TURKEY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 187. TURKEY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 188. TURKEY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 194. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 195. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 196. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 197. AI EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 198. AI EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023
目次
Product Code: MRR-742BD517A299

The AI Edge Computing Market was valued at USD 22.13 billion in 2023, expected to reach USD 26.73 billion in 2024, and is projected to grow at a CAGR of 21.44%, to USD 86.24 billion by 2030.

AI edge computing refers to the deployment of artificial intelligence applications locally on end-user devices or near data sources rather than relying on centralized cloud computing infrastructure. This approach is vital due to the growing demand for real-time data processing, reduced latency, and enhanced privacy. Edge AI finds applications in various sectors, including autonomous vehicles, healthcare, smart homes, and industrial automation. End-user sectors such as manufacturing, telecommunications, and retail are heavily investing in edge AI technologies to leverage benefits like increased data sovereignty and reduced bandwidth costs. The market is prominently driven by factors such as rapid advances in AI algorithms, the proliferation of IoT devices, and enhanced computing power of edge devices. Opportunities exist in developing tailored AI solutions that cater specifically to niche markets-developers can exploit open-source AI edge platforms or create specialized hardware to gain competitive advantage. However, the market faces challenges such as the complexity of integrating AI edge solutions with existing IT infrastructure, data security concerns, and the high cost of implementation. To overcome these limitations, businesses should prioritize partnerships with IT and cybersecurity firms to fortify edge AI networks. Research and development should focus on improving the efficiency of AI models on constrained edge devices, enhancing interoperability, and ensuring robust data protection measures. Innovations in power-efficient processors, edge AI hardware accelerators, and federated learning frameworks are promising areas for business growth. The market, inherently dynamic and competitive, requires continuous adaptation as new startups and established tech giants alike pour resources into developing cutting-edge edge solutions. Companies must stay updated with these tech advancements and regulatory changes to capitalize on emerging trends effectively. By concentrating on areas of personalized and scalable edge AI applications, businesses can steer toward long-term success in this evolving space.

KEY MARKET STATISTICS
Base Year [2023] USD 22.13 billion
Estimated Year [2024] USD 26.73 billion
Forecast Year [2030] USD 86.24 billion
CAGR (%) 21.44%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving AI Edge Computing Market

The AI 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
    • Growing customer inclination toward smart devices
    • Increasing adoption of predictive maintenance in digital infrastructure worldwide
    • Need for cost and operational efficiency in enterprises
  • Market Restraints
    • Latency issues due to massive data generation
  • Market Opportunities
    • Investments to integrate AI edge computing in various end-user industries
    • Adoption of AI edge computing in smart cities for intelligent traffic controls and parking communications
  • Market Challenges
    • Data privacy and security concerns associated with AI Edge computing

Porter's Five Forces: A Strategic Tool for Navigating the AI Edge Computing Market

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

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

A detailed market share analysis in the AI 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 AI Edge Computing Market

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

A strategic analysis of the AI 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 AI Edge Computing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., ADLINK Technology Inc., Advantech Co., Ltd., Akamai Technologies, Inc., Amazon Web Services, Inc., Atos SE, Broadcom Inc., Cisco Systems, Inc., Cloudera, Inc., Dell Inc., EdgeConneX, Inc., EdgeCortix, Inc., Fastly, Inc., General Electric Company, Hewlett Packard Enterprise Development LP, Honeywell International Inc., Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo Group Limited, Microsoft Corporation, NVIDIA Corporation, Robert Bosch GmbH, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Sterlite Technologies Limited, Tata Elxsi Limited, Teksun Inc., Telefonaktiebolaget LM Ericsson, and Unigen Corporation.

Market Segmentation & Coverage

This research report categorizes the AI 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 Data Source, market is studied across Biometric Data, Mobile Data, and Sensor Data.
  • Based on Application, market is studied across Access Management, Autonomous Vehicles, Energy Management, Remote Monitoring & Predictive Maintenance, Telemetry, and Video Surveillance.
  • Based on End-User, market is studied across Automotive, Energy & Utilities, Government & Public, Healthcare, IT & Telecom, and Manufacturing.
  • 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. Growing customer inclination toward smart devices
      • 5.1.1.2. Increasing adoption of predictive maintenance in digital infrastructure worldwide
      • 5.1.1.3. Need for cost and operational efficiency in enterprises
    • 5.1.2. Restraints
      • 5.1.2.1. Latency issues due to massive data generation
    • 5.1.3. Opportunities
      • 5.1.3.1. Investments to integrate AI edge computing in various end-user industries
      • 5.1.3.2. Adoption of AI edge computing in smart cities for intelligent traffic controls and parking communications
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy and security concerns associated with AI Edge computing
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Expanding usage of software components for real-time analytics
    • 5.2.2. Data Source: Increasing demand for mobile data to creat

5.2.3. Application:

    • 5.2.4. End-User: Growing utilization by IT and telecommunication sector to optimize network operations and enhance customer experience
  • 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. AI Edge Computing Market, by Component

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

7. AI Edge Computing Market, by Data Source

  • 7.1. Introduction
  • 7.2. Biometric Data
  • 7.3. Mobile Data
  • 7.4. Sensor Data

8. AI Edge Computing Market, by Application

  • 8.1. Introduction
  • 8.2. Access Management
  • 8.3. Autonomous Vehicles
  • 8.4. Energy Management
  • 8.5. Remote Monitoring & Predictive Maintenance
  • 8.6. Telemetry
  • 8.7. Video Surveillance

9. AI Edge Computing Market, by End-User

  • 9.1. Introduction
  • 9.2. Automotive
  • 9.3. Energy & Utilities
  • 9.4. Government & Public
  • 9.5. Healthcare
  • 9.6. IT & Telecom
  • 9.7. Manufacturing

10. Americas AI Edge Computing Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific AI Edge Computing Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa AI Edge Computing Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. EdgeCortix Raises USD 20 Million for Technology Development and Global Expansion
    • 13.3.2. Lenovo Delivers AI at the Edge, Bringing Next Generation Intelligence to Data
    • 13.3.3. Unigen Launches Compact Edge AI Computing Solutions
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ABB Ltd.
  • 2. ADLINK Technology Inc.
  • 3. Advantech Co., Ltd.
  • 4. Akamai Technologies, Inc.
  • 5. Amazon Web Services, Inc.
  • 6. Atos SE
  • 7. Broadcom Inc.
  • 8. Cisco Systems, Inc.
  • 9. Cloudera, Inc.
  • 10. Dell Inc.
  • 11. EdgeConneX, Inc.
  • 12. EdgeCortix, Inc.
  • 13. Fastly, Inc.
  • 14. General Electric Company
  • 15. Hewlett Packard Enterprise Development LP
  • 16. Honeywell International Inc.
  • 17. Huawei Technologies Co., Ltd.
  • 18. Intel Corporation
  • 19. International Business Machines Corporation
  • 20. Lenovo Group Limited
  • 21. Microsoft Corporation
  • 22. NVIDIA Corporation
  • 23. Robert Bosch GmbH
  • 24. Rockwell Automation, Inc.
  • 25. SAP SE
  • 26. Schneider Electric SE
  • 27. Siemens AG
  • 28. Sterlite Technologies Limited
  • 29. Tata Elxsi Limited
  • 30. Teksun Inc.
  • 31. Telefonaktiebolaget LM Ericsson
  • 32. Unigen Corporation