世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

エッジAIハードウェアの世界市場規模、シェア、動向、機会、予測、2018-2028Fデバイス別(スマートフォン、ロボット、監視カメラ、ウェアラブル、スマートスピーカー、自動車、スマートミラー、その他)、消費電力別(1W未満、1-3W、3-5W、3~5W、10W以上), 機能別(トレーニング、推論), プロセッサ別(CPU、GPU、ASIC、その他), 業種別(ヘルスケア&ライフサイエンス、小売&家電、自動車&運輸、航空宇宙&防衛、政府、建設、その他), 地域別, 競合


Edge AI Hardware Market Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028FSegmented By Device (Smartphones, Robots, Surveillance Cameras, Wearables, Smart Speakers, Automotive, Smart Mirrors, Others), By Power Consumption (Less Than 1W, 1-3W, 3-5W, 3-5W and More Than 10W), By Function (Training, Inference), By Processor (CPU, GPU, ASIC, and Others), By Vertical (Healthcare & Life Science, Retail & Consumer Electronics, Automotive & Transportation, Aerospace & Defense, Government, Construction and Others), By Region, Competition

世界のエッジAIハードウェア市場は、エッジデバイスにおける低遅延とリアルタイムデータ伝送処理の要件により、予測期間中に成長すると予測されている。エッジAIは、エッジコンピューティング環境における人工知... もっと見る

 

 

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世界のエッジAIハードウェア市場は、エッジデバイスにおける低遅延とリアルタイムデータ伝送処理の要件により、予測期間中に成長すると予測されている。エッジAIは、エッジコンピューティング環境における人工知能(AI)の実装である。これは、中央集中型のクラウドコンピューティング施設やオフサイトのデータセンターではなく、AI計算が特定のネットワークのエッジ、通常はデータが作成されるデバイスで実行されることを意味する。さらに、エッジAIハードウェアは、人工知能(AI)に基づくロボット工学や、ツールや機械の集合体によって処理され駆動するガジェットに使用される用語である。企業は、効率を管理し、顧客が高い処理能力と低消費電力で迅速にソリューションを展開することを可能にするために、デバイスに有効なエッジAIハードウェアを徐々に使用しています。人工知能と機械学習技術で実施された数多くの革新は、エッジAIハードウェアの機能を強化すると予想される。このことが、予測期間中の市場成長を促進すると予想される。
エッジAIハードウェア市場は、通信、航空宇宙・防衛、情報技術、自動車などの最終用途産業におけるエッジAIの採用需要が増加していることから、ここ数年で大きな成長を遂げている。さらに、エッジAIハードウェアは、ローカルにデータを処理することによって精度を高め、待ち時間を短縮し、エッジAIハードウェアシステムに統合することによって効率を改善し、リアルタイム分析を行い、運用コストを削減するという利点を提供している。セルフサービス業務に対する消費者需要の高まりは、製品需要の増加をもたらしている。これは、近年スマートデバイスの数が増加するにつれて、組織やビジネスにおける計算速度や遅延の低減に対する個人の嗜好が高まっていることに起因している。さらに、先端技術を基盤とする企業間のコラボレーションの拡大も、将来的に大きな需要を目撃することになると予想される。さらに、エッジAIハードウェアは、消費者によるスマートフォン、監視カメラ、スマートスピーカーの利用が増加し、世界市場で有利な成長を見せていることから人気を集めており、困難な状況でも信頼性と耐久性を提供します。エッジAIハードウェアの使用により、企業はコストを削減しながらタイムリーなサービスを提供できる。
スマートホームとスマートシティの需要増加
スマートホームとスマートシティに対する需要の増加が、予測期間中の世界のエッジAIハードウェア市場の成長を促進している。世界中の多くの実業家や建設業者は、人工知能(AI)を統合して住宅や都市のインフラをスマート化するために先進技術を採用している。世界中のスマート・シティでは、AI技術がいくつかの分野でますます普及するにつれて、こうしたAI技術の利用が進んでいる。スマートシティが普及するにつれて、スマートハウスというコンセプトに関心を持つ個人も増えている。都市に住むことを選択する人が増えれば、日常生活における自動化されたサービスへのニーズも高まるだろう。スマートハウスへの需要は、贅沢品から必要不可欠なものへと変わりつつある。人工知能(AI)に代わるエッジハードウェアデバイスは、機械学習アルゴリズムを使用したユーザー行動への適応、リアルタイム応答による低遅延など、さらなる利点でスマートデバイスを支援している。さらに、多くの発展途上国では、都市化の進展に伴い、将来の定義としてスマートシティ構想を導入し始めている。スマートホーム製品やスマートシティにAIを組み込むことで、デバイスをより効率的で便利なものにし、パーソナライズすることができ、全体的なユーザーエクスペリエンスの向上につながる。例えば、シンガポール、フィンランド、スイス、ノルウェーなどの国々が、2022年の世界のスマートシティの上位にランクインしている。さらに、世界中の政府は、個人のセキュリティと安全を保証するための基本的な問題に対処するために、最先端の技術を活用している。このように、スマートホームやスマートシティに対する需要の高まりが、予測期間中の世界のエッジAIハードウェア市場の成長を促進している。
エッジデバイスにおける低遅延・リアルタイムデータ伝送処理の要件
エッジデバイス上のデータ集約型ディープラーニングの推論処理は、AIアクセラレータと呼ばれる専用ハードウェアによって高速化される。専用のエッジAIハードウェアは、リアルタイムの深層学習ワークロードに対するニーズの高まりにより、ますます重要性を増しているデバイス上での迅速な深層学習を可能にする。高レイテンシーとセキュリティギャップの問題を克服するため、エッジAIはIoTで生成されたデータを至近距離で処理する。クラウドはIoTデバイスから大量のデータを受け取り、それを機械学習(ML)モデルで処理してからIoTデバイスに送り返す。この手順は、応答時間の遅延を引き起こす可能性がある。しかし、オンデバイスAIはデータ交換を制限し、より迅速な反応を可能にする。また、クラウド上に大量のデータを保存することも不可能かもしれない。エッジAIでは、デバイス自体が処理能力を持つため、このデータをクラウドに送信する必要はない。したがって、エッジデバイスでの低遅延かつリアルタイムなデータ伝送処理に対するエッジAIハードウェアの需要の高まりが、世界市場におけるエッジAIハードウェアの採用を拡大すると予想される。
デジタル化と先端技術の採用増加が市場成長を牽引
エッジコンピューティングや人工知能(AI)などの先端技術の採用が増加し、デジタル化が進んでいることが、エッジAIハードウェア市場の世界的な成長を促進している。同技術は発展段階にあり、将来の成長も明確であるため、ますます多くの企業がエッジ、AI対応デバイスおよびソリューションを製造および運用サービスに統合し、採用している。エッジAIハードウェアは、ロボットやその他の家電製品を一貫して使用している企業がリアルタイムでデータを処理し、シームレスなユーザー体験を提供するのに役立っている。さらに、人工知能(AI)は、効率を高め、パフォーマンスを最適化し、意思決定を改善することで、プロセスの自動化とスピードアップを支援する重要なイネーブラーになりつつある。そのため、先端技術の採用が増加し、デジタル化が進んでいることが、世界のエッジAIハードウェア市場の需要を促進している。
スマートフォンの利用増加が市場成長を促進
スマートフォンの利用増加が世界のエッジAIハードウェア市場の需要を促進している。すべての人の生活はスマートフォンやモバイルガジェットに支配されている。スマートフォンの利用状況に関するデータによると、現在、世界の3分の2がスマートフォンで結ばれており、2023年までに73億3000万人以上がモバイル機器を所有するという。子どもたちは10歳でモバイル機器を手にし始める。Z世代のほぼすべての子どもたちがスマートフォンを所有している。その結果、インターネットを利用する個人の数が増加している。その結果、クラウドベースのサービスとスマートデバイスユーザーの需要が高まる。エッジAIハードウェア分野は、クラウドベースのサービスを利用することで選択肢が広がり、導入時間の短縮、簡単で安全なデータ転送、迅速な需要拡大、インフラ、エネルギー、設備コストの低減にもつながる。
市場の細分化
デバイスに基づき、市場はスマートフォン、ロボット、監視カメラ、ウェアラブル、スマートスピーカー、自動車、スマートミラー、その他に区分される。消費電力に基づき、市場は1W未満、1~3W、3~5W、10W以上に区分される。機能に基づき、市場はトレーニングと推論に区分される。プロセッサ別では、CPU、GPU、ASIC、その他に区分される。業種別では、市場はさらにヘルスケア&ライフサイエンス、小売&家電、自動車&輸送、航空宇宙&防衛、政府、建設、その他に分割される。また、この市場分析では、北米、欧州、アジア太平洋、南米、中東&アフリカに分け、地域別の市場セグメンテーションを考案するために、地域別のセグメンテーションも研究しています。
企業プロフィール
Qualcomm Technologies, Inc.、Huawei Technologies Co.Ltd.、Samsung Electronics Co.Ltd.、MediaTek Inc.、International Business Machines Corporation (IBM)、Microsoft Corporation、NVIDIA Corporation、Google LLC (Alphabet Inc.)、Apple Inc.、Intel Corporationなどが世界のエッジAIハードウェア市場の成長を牽引する主要企業です。
レポートの範囲
本レポートでは、エッジAIハードウェアの世界市場を、以下に詳述した業界動向に加えて、以下のカテゴリーに分類しています:
- エッジAIハードウェア市場、デバイス別
o スマートフォン
o ロボット
o 監視カメラ
o ウェアラブル
o スマートスピーカー
o 自動車
o スマートミラー
o その他
- エッジAIハードウェア市場:消費電力別
o 1W未満
o 1〜3W
o 3-5W
o 5-10W
o 10W以上
- エッジAIハードウェア市場、機能別
o トレーニング
o 推論
- エッジAIハードウェア市場:プロセッサ別
o CPU
o GPU
o ASIC
o その他
- エッジAIハードウェア市場:分野別
o ヘルスケア&ライフサイエンス
o 小売・家電
自動車・運輸
o 航空宇宙・防衛
o 政府
o 建設
o その他
- エッジAIハードウェア市場、地域別
o アジア太平洋
 中国
 日本
 インド
 オーストラリア
 韓国
北米
 米国
 カナダ
 メキシコ
ヨーロッパ
 イギリス
 ドイツ
 フランス
 スペイン
 イタリア
中東およびアフリカ
 イスラエル
 トルコ
 サウジアラビア
 アラブ首長国連邦
南米
 ブラジル
 アルゼンチン
 コロンビア
競争状況
企業プロフィール:世界のエッジAIハードウェア市場に存在する主要企業の詳細分析。
利用可能なカスタマイズ:
TechSci Research社は、所定の市場データを用いて、企業固有のニーズに応じたカスタマイズを提供しています。本レポートでは以下のカスタマイズが可能です:
企業情報
- 追加市場参入企業(最大5社)の詳細分析とプロファイリング

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目次

1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
4. Voice of Customer
5. Global Edge AI Hardware Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Device (Smartphones, Robots, Surveillance Cameras, Wearables, Smart Speakers, Automotive, Smart Mirrors, Others)
5.2.2. By Power Consumption (Less Than 1W, 1-3W, 3-5W, 3-5W and More Than 10W)
5.2.3. By Function (Training, Inference)
5.2.4. By Processor (CPU, GPU, ASIC, and Others)
5.2.5. By Vertical (Healthcare & Life Science, Retail & Consumer Electronics, Automotive & Transportation, Aerospace & Defense, Government, Construction and Others)
5.2.6. By Region
5.3. By Company (2022)
5.4. Market Map
6. North America Edge AI Hardware Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Device
6.2.2. By Power Consumption
6.2.3. By Function
6.2.4. By Processor
6.2.5. By Vertical
6.2.6. By Country
6.3. North America: Country Analysis
6.3.1. United States Edge AI Hardware Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Device
6.3.1.2.2. By Power Consumption
6.3.1.2.3. By Function
6.3.1.2.4. By Processor
6.3.1.2.5. By Vertical
6.3.2. Canada Edge AI Hardware Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Device
6.3.2.2.2. By Power Consumption
6.3.2.2.3. By Function
6.3.2.2.4. By Processor
6.3.2.2.5. By Vertical
6.3.3. Mexico Edge AI Hardware Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Device
6.3.3.2.2. By Power Consumption
6.3.3.2.3. By Function
6.3.3.2.4. By Processor
6.3.3.2.5. By Vertical
7. Asia-Pacific Edge AI Hardware Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Device
7.2.2. By Power Consumption
7.2.3. By Function
7.2.4. By Processor
7.2.5. By Vertical
7.2.6. By Country
7.3. Asia-Pacific: Country Analysis
7.3.1. China Edge AI Hardware Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Device
7.3.1.2.2. By Power Consumption
7.3.1.2.3. By Function
7.3.1.2.4. By Processor
7.3.1.2.5. By Vertical
7.3.2. Japan Edge AI Hardware Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Device
7.3.2.2.2. By Power Consumption
7.3.2.2.3. By Function
7.3.2.2.4. By Processor
7.3.2.2.5. By Vertical
7.3.3. South Korea Edge AI Hardware Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Device
7.3.3.2.2. By Power Consumption
7.3.3.2.3. By Function
7.3.3.2.4. By Processor
7.3.3.2.5. By Vertical
7.3.4. India Edge AI Hardware Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Device
7.3.4.2.2. By Power Consumption
7.3.4.2.3. By Function
7.3.4.2.4. By Processor
7.3.4.2.5. By Vertical
7.3.5. Australia Edge AI Hardware Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Device
7.3.5.2.2. By Power Consumption
7.3.5.2.3. By Function
7.3.5.2.4. By Processor
7.3.5.2.5. By Vertical
8. Europe Edge AI Hardware Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Device
8.2.2. By Power Consumption
8.2.3. By Function
8.2.4. By Processor
8.2.5. By Vertical
8.2.6. By Country
8.3. Europe: Country Analysis
8.3.1. Germany Edge AI Hardware Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Device
8.3.1.2.2. By Power Consumption
8.3.1.2.3. By Function
8.3.1.2.4. By Processor
8.3.1.2.5. By Vertical
8.3.2. United Kingdom Edge AI Hardware Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Device
8.3.2.2.2. By Power Consumption
8.3.2.2.3. By Function
8.3.2.2.4. By Processor
8.3.2.2.5. By Vertical
8.3.3. France Edge AI Hardware Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Device
8.3.3.2.2. By Power Consumption
8.3.3.2.3. By Function
8.3.3.2.4. By Processor
8.3.3.2.5. By Vertical
8.3.4. Italy Edge AI Hardware Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Device
8.3.4.2.2. By Power Consumption
8.3.4.2.3. By Function
8.3.4.2.4. By Processor
8.3.4.2.5. By Vertical
8.3.5. Spain Edge AI Hardware Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Device
8.3.5.2.2. By Power Consumption
8.3.5.2.3. By Function
8.3.5.2.4. By Processor
8.3.5.2.5. By Vertical
9. South America Edge AI Hardware Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Device
9.2.2. By Power Consumption
9.2.3. By Function
9.2.4. By Processor
9.2.5. By Vertical
9.2.6. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Edge AI Hardware Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Device
9.3.1.2.2. By Power Consumption
9.3.1.2.3. By Function
9.3.1.2.4. By Processor
9.3.1.2.5. By Vertical
9.3.2. Argentina Edge AI Hardware Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Device
9.3.2.2.2. By Power Consumption
9.3.2.2.3. By Function
9.3.2.2.4. By Processor
9.3.2.2.5. By Vertical
9.3.3. Colombia Edge AI Hardware Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Device
9.3.3.2.2. By Power Consumption
9.3.3.2.3. By Function
9.3.3.2.4. By Processor
9.3.3.2.5. By Vertical
10. Middle East & Africa Edge AI Hardware Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Device
10.2.2. By Power Consumption
10.2.3. By Function
10.2.4. By Processor
10.2.5. By Vertical
10.2.6. By Country
10.3. Middle East & Africa: Country Analysis
10.3.1. Israel Edge AI Hardware Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Device
10.3.1.2.2. By Power Consumption
10.3.1.2.3. By Function
10.3.1.2.4. By Processor
10.3.1.2.5. By Vertical
10.3.2. Turkey Edge AI Hardware Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Device
10.3.2.2.2. By Power Consumption
10.3.2.2.3. By Function
10.3.2.2.4. By Processor
10.3.2.2.5. By Vertical
10.3.3. UAE Edge AI Hardware Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Device
10.3.3.2.2. By Power Consumption
10.3.3.2.3. By Function
10.3.3.2.4. By Processor
10.3.3.2.5. By Vertical
10.3.4. Saudi Arabia Edge AI Hardware Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Device
10.3.4.2.2. By Power Consumption
10.3.4.2.3. By Function
10.3.4.2.4. By Processor
10.3.4.2.5. By Vertical
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
13. Company Profiles
13.1. Qualcomm Technologies, Inc.
13.1.1. Business Overview
13.1.2. Key Revenue (If Available)
13.1.3. Recent Developments
13.1.4. Key Personnel
13.1.5. Key Product/Service Offered
13.2. Huawei Technologies Co. Ltd.
13.2.1. Business Overview
13.2.2. Key Revenue (If Available)
13.2.3. Recent Developments
13.2.4. Key Personnel
13.2.5. Key Product/Service Offered
13.3. Samsung Electronics Co. Ltd.
13.3.1. Business Overview
13.3.2. Key Revenue (If Available)
13.3.3. Recent Developments
13.3.4. Key Personnel
13.3.5. Key Product/Service Offered
13.4. MediaTek Inc.
13.4.1. Business Overview
13.4.2. Key Revenue (If Available)
13.4.3. Recent Developments
13.4.4. Key Personnel
13.4.5. Key Product/Service Offered
13.5. International Business Machines Corporation (IBM)
13.5.1. Business Overview
13.5.2. Key Revenue (If Available)
13.5.3. Recent Developments
13.5.4. Key Personnel
13.5.5. Key Product/Service Offered
13.6. Microsoft Corporation
13.6.1. Business Overview
13.6.2. Key Revenue (If Available)
13.6.3. Recent Developments
13.6.4. Key Personnel
13.6.5. Key Product/Service Offered
13.7. NVIDIA Corporation
13.7.1. Business Overview
13.7.2. Key Revenue (If Available)
13.7.3. Recent Developments
13.7.4. Key Personnel
13.7.5. Key Product/Service Offered
13.8. Google LLC (Alphabet Inc.)
13.8.1. Business Overview
13.8.2. Key Revenue (If Available)
13.8.3. Recent Developments
13.8.4. Key Personnel
13.8.5. Key Product/Service Offered
13.9. Apple Inc.
13.9.1. Business Overview
13.9.2. Key Revenue (If Available)
13.9.3. Recent Developments
13.9.4. Key Personnel
13.9.5. Key Product/Service Offered
13.10. Intel Corporation
13.10.1. Business Overview
13.10.2. Key Revenue (If Available)
13.10.3. Recent Developments
13.10.4. Key Personnel
13.10.5. Key Product/Service Offered
14. Strategic Recommendations
15. About Us & Disclaimer
(Note: The companies list can be customized based on the client requirements.)

 

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Summary

The global Edge AI Hardware market is predicted to grow during the forecast period owing to the requirement for low latency and real-time data transmission processing on edge devices. Edge AI is the implementation of artificial intelligence (AI) in an edge computing environment. This implies that rather than at a centralised cloud computing facility or off-site data centre, AI computations are performed at the edge of a particular network, typically on the device where the data is created. In addition, edge AI hardware is a term used for artificial intelligence (AI) based robotics and gadgets that are processed and powered by a collection of tools and machinery. Companies are progressively using enabling edge AI hardware’s in their devices to manage the efficiency and enables customers to deploy solutions quickly with high processing capability and low-power consumption. Numerous innovations carried out in artificial intelligence, and machine learning technologies are expected to enhance the features of Edge AI Hardware. This, in turn, is expected to drive market growth during the forecast period.
The Edge AI Hardware market has witnessed significant growth in the last few years as the demand for adoption of edge AI in end-use industries such as telecommunication, aerospace & defense, information & technology and automobiles is increasing. Additionally, Edge AI hardware is offering the advantages of increasing accuracy and reduces latency by processing data locally, improving efficiency, real-time analytics and reducing the operational cost by integrating to the Edge AI Hardware system. The growth in consumer demand for self-service operations has led to increase in product demand. This can be attributed to the growing preference of individuals for computational speed and reduced latency in the organization and business as the number of smart devices has grown higher in the recent years. Moreover, growing collaboration between the advanced technology-based enterprises are also expected to witness significant demand in the future. Furthermore, edge AI hardware are gaining popularity as increase in usage of smartphones, surveillance cameras and smart speakers by the consumers are showing a lucrative growth in the global market, it also provides dependability and durability in challenging situations. The use of Edge AI Hardware enables organizations to deliver timely services at reduced costs.
Increasing Demand for Smart Homes and Smart Cities
The increasing demand for smart homes and smart cities is driving the growth of global edge AI hardware market during the forecast period. Many industrialists and builders across the countries are adopting advanced technologies to make their homes and the cities infrastructure smarter with the integration of artificial intelligence (AI). Smart cities all around the world are progressively using these AI technologies as they become increasingly widespread across several sectors. As smart cities spread, more individuals are getting interested in the concept of a smart house. As more people choose to live in cities, there will likely be a greater need for automated services in everyday life. The demand for smart homes is turning them from a luxury to an essential need. Edgehardware devices on behalf of Artificial Intelligence (AI) is helping the smart devices with additional benefits such as adaptation to user behavior using machine learning algorithms, low latency with real-time responses. Moreover, many developing nations have started implementing smart cities initiatives as a definition of future with the growth in urbanization. Incorporating AI into smart home products and smart cities can make devices more efficient, convenient, and personalised, leading to a better overall user experience. For instance, countries such as Singapore, Finland, Switzerland, and Norway and many more are among the top smart cities in the world in 2022. Furthermore, the government all around the world are leveraging cutting-edge technology to address the fundamental issues involved in assuring the security and safety of individuals. Thus, the increasing demand for smart homes and smart cities are driving the growth of global edge AI hardware market during the forecast period.
Requirement for Low Latency and Real-Time Data Transmission Processing on Edge Devices
The inference process for data-intensive deep learning on edge devices is accelerated by specialized hardware called AI accelerators. Specialized edge AI hardware enables the quick deep learning on-device that has become more and more significant due to the increasing need for real-time deep learning workloads. To get beyond the issues of high latency and security gaps, edge AI processes IoT-generated data at close range. The cloud receives a significant amount of data from an IoT device, which is then processed by machine learning (ML) models before being sent back to the IoT device. This procedure may cause a response time delay. Yet on-device AI limits data exchange, enabling a quicker reaction. The ability to store a significant amount of data on the cloud may also not be possible. Sending this data to the cloud is not necessary with edge AI since the devices themselves have the processing capability. Therefore, increasing Edge AI Hardware demands for low latency and real-time data transmission processing on edge devices are expected to grow the adoption of Edge AI Hardware in the global market.
Digitalization and Increasing Adoption of Advanced Technologies Driving the Market Growth
The rising adoption of advanced technologies such as edge computing and artificial intelligence (AI) and growing digitalization are driving the growth of Edge AI Hardware market globally. As the technology is in developing stage with explicit future growth, more and more enterprises are integrating and adopting edge, AI enabled devices and solutions into their manufacturing and operation services. Edge AI hardware is helping businesses that are consistently using robots and other consumer electronics to process data in real-time and provide a seamless user experience. Moreover, artificial intelligence (AI) is becoming a key enabler to help automate and speed up the process by increasing efficiency and optimizing the performance and improving decision making. Therefore, increasing adoption of advanced technologies and growing digitalization is driving the demand of global edge AI hardware market.
Increase Usage of Smartphones to Propel Growth of Market
The increase in usage of smartphones in driving the demand of global edge AI hardware market. The lives of everyone are governed by smartphones and mobile gadgets. According to data on smartphone usage, two-thirds of the globe is now linked via smartphones and more than 7.33 billion people own mobile devices by 2023. Children begin receiving mobile devices at the age of 10. Nearly all children of generation Z owns a smartphone. The number of individuals utilizing the internet has increased as a result. The demand for cloud-based services and smart device users rises as a result. The edge AI hardware sector has greater options because of the usage of cloud-based services, which also leads to quicker installation times, easy and secure data transfers, rapid scaling demand increases, and cheaper infrastructure, energy, and facility costs.
Market Segmentation
Based on device, the market is segmented into smartphones, robots, surveillance cameras, wearables, smart speakers, automotive, smart mirrors, and others. Based on power consumption, the market is segmented into less than 1W, 1-3W, 3-5W, 3-5W and more than 10W. Based on function, the market is segmented into training and inference. Based on processor, the market is segmented into CPU, GPU, ASIC, and others. On the basis of vertical, the market is further split into healthcare & life science, retail & consumer electronics, automotive & transportation, aerospace & defense, government, construction, and others. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.
Company Profiles
Qualcomm Technologies, Inc., Huawei Technologies Co. Ltd., Samsung Electronics Co. Ltd., MediaTek Inc., International Business Machines Corporation (IBM), Microsoft Corporation, NVIDIA Corporation, Google LLC (Alphabet Inc.), Apple Inc., Intel Corporation are among the major players that are driving the growth of the Global Edge AI Hardware Market.
Report Scope:
In this report, the global Edge AI Hardware market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
• Edge AI Hardware Market, By Device:
o Smartphones
o Robots
o Surveillance Cameras
o Wearables
o Smart Speakers
o Automotive
o Smart Mirrors
o Others
• Edge AI Hardware Market, By Power Consumption:
o Less Than 1W
o 1-3W
o 3-5W
o 5-10W
o More Than 10W
• Edge AI Hardware Market, By Function:
o Training
o Inference
• Edge AI Hardware Market, By Processor:
o CPU
o GPU
o ASIC
o Others
• Edge AI Hardware Market, By Vertical:
o Healthcare & Life Science
o Retail & Consumer Electronics
o Automotive & Transportation
o Aerospace & Defense
o Government
o Construction
o Others
• Edge AI Hardware Market, By Region:
o Asia-Pacific
 China
 Japan
 India
 Australia
 South Korea
o North America
 United States
 Canada
 Mexico
o Europe
 United Kingdom
 Germany
 France
 Spain
 Italy
o Middle East & Africa
 Israel
 Turkey
 Saudi Arabia
 UAE
o South America
 Brazil
 Argentina
 Colombia
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the global Edge AI Hardware market.
Available Customizations:
With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information
• Detailed analysis and profiling of additional market players (up to five).



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Table of Contents

1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
4. Voice of Customer
5. Global Edge AI Hardware Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Device (Smartphones, Robots, Surveillance Cameras, Wearables, Smart Speakers, Automotive, Smart Mirrors, Others)
5.2.2. By Power Consumption (Less Than 1W, 1-3W, 3-5W, 3-5W and More Than 10W)
5.2.3. By Function (Training, Inference)
5.2.4. By Processor (CPU, GPU, ASIC, and Others)
5.2.5. By Vertical (Healthcare & Life Science, Retail & Consumer Electronics, Automotive & Transportation, Aerospace & Defense, Government, Construction and Others)
5.2.6. By Region
5.3. By Company (2022)
5.4. Market Map
6. North America Edge AI Hardware Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Device
6.2.2. By Power Consumption
6.2.3. By Function
6.2.4. By Processor
6.2.5. By Vertical
6.2.6. By Country
6.3. North America: Country Analysis
6.3.1. United States Edge AI Hardware Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Device
6.3.1.2.2. By Power Consumption
6.3.1.2.3. By Function
6.3.1.2.4. By Processor
6.3.1.2.5. By Vertical
6.3.2. Canada Edge AI Hardware Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Device
6.3.2.2.2. By Power Consumption
6.3.2.2.3. By Function
6.3.2.2.4. By Processor
6.3.2.2.5. By Vertical
6.3.3. Mexico Edge AI Hardware Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Device
6.3.3.2.2. By Power Consumption
6.3.3.2.3. By Function
6.3.3.2.4. By Processor
6.3.3.2.5. By Vertical
7. Asia-Pacific Edge AI Hardware Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Device
7.2.2. By Power Consumption
7.2.3. By Function
7.2.4. By Processor
7.2.5. By Vertical
7.2.6. By Country
7.3. Asia-Pacific: Country Analysis
7.3.1. China Edge AI Hardware Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Device
7.3.1.2.2. By Power Consumption
7.3.1.2.3. By Function
7.3.1.2.4. By Processor
7.3.1.2.5. By Vertical
7.3.2. Japan Edge AI Hardware Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Device
7.3.2.2.2. By Power Consumption
7.3.2.2.3. By Function
7.3.2.2.4. By Processor
7.3.2.2.5. By Vertical
7.3.3. South Korea Edge AI Hardware Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Device
7.3.3.2.2. By Power Consumption
7.3.3.2.3. By Function
7.3.3.2.4. By Processor
7.3.3.2.5. By Vertical
7.3.4. India Edge AI Hardware Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Device
7.3.4.2.2. By Power Consumption
7.3.4.2.3. By Function
7.3.4.2.4. By Processor
7.3.4.2.5. By Vertical
7.3.5. Australia Edge AI Hardware Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Device
7.3.5.2.2. By Power Consumption
7.3.5.2.3. By Function
7.3.5.2.4. By Processor
7.3.5.2.5. By Vertical
8. Europe Edge AI Hardware Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Device
8.2.2. By Power Consumption
8.2.3. By Function
8.2.4. By Processor
8.2.5. By Vertical
8.2.6. By Country
8.3. Europe: Country Analysis
8.3.1. Germany Edge AI Hardware Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Device
8.3.1.2.2. By Power Consumption
8.3.1.2.3. By Function
8.3.1.2.4. By Processor
8.3.1.2.5. By Vertical
8.3.2. United Kingdom Edge AI Hardware Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Device
8.3.2.2.2. By Power Consumption
8.3.2.2.3. By Function
8.3.2.2.4. By Processor
8.3.2.2.5. By Vertical
8.3.3. France Edge AI Hardware Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Device
8.3.3.2.2. By Power Consumption
8.3.3.2.3. By Function
8.3.3.2.4. By Processor
8.3.3.2.5. By Vertical
8.3.4. Italy Edge AI Hardware Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Device
8.3.4.2.2. By Power Consumption
8.3.4.2.3. By Function
8.3.4.2.4. By Processor
8.3.4.2.5. By Vertical
8.3.5. Spain Edge AI Hardware Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Device
8.3.5.2.2. By Power Consumption
8.3.5.2.3. By Function
8.3.5.2.4. By Processor
8.3.5.2.5. By Vertical
9. South America Edge AI Hardware Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Device
9.2.2. By Power Consumption
9.2.3. By Function
9.2.4. By Processor
9.2.5. By Vertical
9.2.6. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Edge AI Hardware Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Device
9.3.1.2.2. By Power Consumption
9.3.1.2.3. By Function
9.3.1.2.4. By Processor
9.3.1.2.5. By Vertical
9.3.2. Argentina Edge AI Hardware Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Device
9.3.2.2.2. By Power Consumption
9.3.2.2.3. By Function
9.3.2.2.4. By Processor
9.3.2.2.5. By Vertical
9.3.3. Colombia Edge AI Hardware Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Device
9.3.3.2.2. By Power Consumption
9.3.3.2.3. By Function
9.3.3.2.4. By Processor
9.3.3.2.5. By Vertical
10. Middle East & Africa Edge AI Hardware Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Device
10.2.2. By Power Consumption
10.2.3. By Function
10.2.4. By Processor
10.2.5. By Vertical
10.2.6. By Country
10.3. Middle East & Africa: Country Analysis
10.3.1. Israel Edge AI Hardware Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Device
10.3.1.2.2. By Power Consumption
10.3.1.2.3. By Function
10.3.1.2.4. By Processor
10.3.1.2.5. By Vertical
10.3.2. Turkey Edge AI Hardware Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Device
10.3.2.2.2. By Power Consumption
10.3.2.2.3. By Function
10.3.2.2.4. By Processor
10.3.2.2.5. By Vertical
10.3.3. UAE Edge AI Hardware Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Device
10.3.3.2.2. By Power Consumption
10.3.3.2.3. By Function
10.3.3.2.4. By Processor
10.3.3.2.5. By Vertical
10.3.4. Saudi Arabia Edge AI Hardware Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Device
10.3.4.2.2. By Power Consumption
10.3.4.2.3. By Function
10.3.4.2.4. By Processor
10.3.4.2.5. By Vertical
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
13. Company Profiles
13.1. Qualcomm Technologies, Inc.
13.1.1. Business Overview
13.1.2. Key Revenue (If Available)
13.1.3. Recent Developments
13.1.4. Key Personnel
13.1.5. Key Product/Service Offered
13.2. Huawei Technologies Co. Ltd.
13.2.1. Business Overview
13.2.2. Key Revenue (If Available)
13.2.3. Recent Developments
13.2.4. Key Personnel
13.2.5. Key Product/Service Offered
13.3. Samsung Electronics Co. Ltd.
13.3.1. Business Overview
13.3.2. Key Revenue (If Available)
13.3.3. Recent Developments
13.3.4. Key Personnel
13.3.5. Key Product/Service Offered
13.4. MediaTek Inc.
13.4.1. Business Overview
13.4.2. Key Revenue (If Available)
13.4.3. Recent Developments
13.4.4. Key Personnel
13.4.5. Key Product/Service Offered
13.5. International Business Machines Corporation (IBM)
13.5.1. Business Overview
13.5.2. Key Revenue (If Available)
13.5.3. Recent Developments
13.5.4. Key Personnel
13.5.5. Key Product/Service Offered
13.6. Microsoft Corporation
13.6.1. Business Overview
13.6.2. Key Revenue (If Available)
13.6.3. Recent Developments
13.6.4. Key Personnel
13.6.5. Key Product/Service Offered
13.7. NVIDIA Corporation
13.7.1. Business Overview
13.7.2. Key Revenue (If Available)
13.7.3. Recent Developments
13.7.4. Key Personnel
13.7.5. Key Product/Service Offered
13.8. Google LLC (Alphabet Inc.)
13.8.1. Business Overview
13.8.2. Key Revenue (If Available)
13.8.3. Recent Developments
13.8.4. Key Personnel
13.8.5. Key Product/Service Offered
13.9. Apple Inc.
13.9.1. Business Overview
13.9.2. Key Revenue (If Available)
13.9.3. Recent Developments
13.9.4. Key Personnel
13.9.5. Key Product/Service Offered
13.10. Intel Corporation
13.10.1. Business Overview
13.10.2. Key Revenue (If Available)
13.10.3. Recent Developments
13.10.4. Key Personnel
13.10.5. Key Product/Service Offered
14. Strategic Recommendations
15. About Us & Disclaimer
(Note: The companies list can be customized based on the client requirements.)

 

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調査レポートの納品までの日数はどの程度ですか?


在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。


注文の手続きはどのようになっていますか?


1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。


お支払方法の方法はどのようになっていますか?


納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
お客様よりデータリソース社へ(通常は円払い)の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。


データリソース社はどのような会社ですか?


当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。



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