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組み込みAIの世界市場：2023-2030年

Global Embedded AI Market 2023-2030

出版日
ページ情報
英文 130 Pages
納期
2～3営業日
カスタマイズ可能
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=146.99円
組み込みAIの世界市場：2023-2030年
出版日: 2023年09月22日
発行: Orion Market Research
ページ情報: 英文 130 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の組み込みAI市場は、予測期間中（2023年～2030年）にCAGR 9.6%という大幅な成長が見込まれています。組み込みAIは、AI機能のための汎用フレームワークシステムです。ネットワーク機器に組み込まれ、AIアルゴリズムに共通のモデル管理、データ取得、データ前処理機能を提供します。エンドユーザー産業における組み込みAIの需要の高まりは、世界の組み込みAI市場の成長を促進する重要な要因です。これは、組み込みAIの採用が増加することで、医療分野における医療診断と治療を改善できる可能性があるためです。組み込みAIは、製造業における工場の自動化を改善することができます。さらに、組み込みAIはホームオートメーションシステムやスマートウェアラブルの機能を根本的に改善することができます。エンドユーザー業界からの需要の高まりに対応するため、主要企業は新製品の投入を進めています。例えば、2022年3月、エヌビディア・コーポレーションは、医療機器業界がエッジでリアルタイムのAIアプリケーションを開発・展開するためのプラットフォーム、クララ・ホロスキャンMGXを発売しました。NVIDIA OrinとNVIDIA AIソフトウェアスタックを搭載したClara Holoscan MGX医療グレードプラットフォームは、組み込みコンピューティングのリーダーによって構築されたシステムを支援します。

セグメント別の展望

BFSIサブセグメントが世界の組み込みAI市場でかなりのシェアを占める見通し

業界別では、BFSIサブセグメントが世界の組み込みAI市場でかなりのシェアを占めると予想されています。このセグメントの成長は、デジタルプラットフォームの影響力の高まりが、いくつかのビジネス業務をアップグレードするための重要な要因として機能していることに起因しています。AIは、不正取引に対抗し、コンプライアンスを改善するための高度なデータ分析を提供するため、BFSIにおいて主要な役割を果たすことができます。BFSI部門は膨大なデータを扱っており、それを管理するのは大変な作業です。AIは短期間で膨大なデータを管理し、そこから貴重な洞察を得るのに役立ちます。さらに、AIはマネーロンダリング防止活動を数秒で発見するのに役立ちます。BFSI部門はAIを利用することで、より広範な顧客層にはるかに質の高いサービスを提供できます。2023年3月、フィンテック企業のインテレクト・デザイン・アリーナはeMACH.aiを立ち上げました。このプラットフォームは、アマゾン・ウェブ・サービス（AWS）を活用して、人工知能を組み込んだクラウド・サービスを金融機関に提供します。eMACH.aiの立ち上げにより、同社はエコシステム主導のバンキングの未来を可視化しました。このような市場の動向が、この分野の市場成長にさらに貢献しています。

地域別展望

世界の組み込みAI市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東・アフリカ、ラテンアメリカ）を含む地域別にさらに細分化されています。このうち北米は、革新的なAI技術を持つ企業の存在、強力な研究開発スキル、インテリジェンス・エッジ・サービスに対する需要の高まり、確立された市場エコシステムにより、世界市場で突出したシェアを占めると予想されます。同地域の主要企業には、Google LLC、IBM Corp.、Microsoft Corp.、Amazon Web Services, Inc.などが含まれます。

世界の組み込みAI市場ではアジア太平洋地域が大幅なCAGRで成長する見込み

すべての地域の中で、アジア太平洋地域は予測期間中にかなりのCAGRで成長すると予測されています。地域の成長は、経済発展と技術強化に起因しています。アジア太平洋地域の人口の拡大は、地域は現在、驚異的な拡大を経験しています。アジアは技術進歩のペースが速く、新しいアイデアに対してオープンであるため、多くの企業がこの地域の技術受容を利用しています。組み込み型融資を可能にする企業はアジア太平洋に本社を置いていますが、この地域には最も洗練された地域のフィンテック企業が集まっています。

デジタル経済は、アジア太平洋の多様性が顕著に表れている分野の一つです。シンガポールや香港のような注目すべきフィンテック・ハブが存在するとしても、発展途上国は着実にフィンテック能力を拡大しています。その結果、この地域のBFSI業界は一貫したペースで組み込みAIを採用しています。組み込み金融の有望性を活用することで、東南アジアの一部の企業はすでに成功を収めています。これらすべての要因を考慮すれば、APAC地域の市場は驚異的な成長を遂げると思われます。

目次

第1章 レポート概要

  • 業界の現状分析と成長可能性の展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Google LLC
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • IBM Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Microsoft Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • 世界の組み込みAI市場：提供別
    • ハードウェア
    • ソフトウェア
    • サービス
  • 世界の組み込みAI市場：データの種類別
    • 数値データ
    • カテゴリーデータ
    • 画像・映像データ
  • 世界の組み込みAI市場：業界別
    • BFSI
    • 医療・ライフサイエンス
    • IT・通信
    • 自動車
    • メディア・エンターテインメント
    • エネルギー・電力
    • 運輸・物流
    • 政府・防衛
    • 製造業
    • その他

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • 世界のその他の地域

第6章 企業プロファイル

  • Advanced Micro Devices, Inc.
  • Au-Zone Technologies, Inc.
  • Code Time Technologies
  • EdgeImpulse Inc.
  • Eta Compute Inc.
  • Hewlett Packard Enterprise
  • Intel Corp
  • LUIS Technology GmbH
  • MediaTek Inc.
  • NeuroPace, Inc.
  • NVIDIA Corp
  • NXP Semiconductors N.V.
  • Octonion Systems LLP
  • Oracle Corp.
  • Qualcomm
  • Salesforce Inc
  • SenseTime Group Ltd.
  • SensiML Corp.
  • Shenzhen HiSilicon Semiconductor Co., Ltd.
  • Siemens AG
  • STMicroelectronics N.V.
  • Syntiant Corp.
  • VectorBlox Computing Inc.
図表

LIST OF TABLES

  • 1. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 2. GLOBAL EMBEDDED AI HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION,2022-2030 ($ MILLION)
  • 3. GLOBAL EMBEDDED AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL EMBEDDED AI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 6. GLOBAL NUMERICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL CATEGORICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL IMAGE AND VIDEO DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 10. GLOBAL EMBEDDED AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL EMBEDDED AI FOR HEALTHCARE & LIFESCIENCES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL EMBEDDED AI FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 13. GLOBAL EMBEDDED AI FOR AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL EMBEDDED AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL EMBEDDED AI FOR ENERGY & POWER MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL EMBEDDED AI FOR TRANSPORTATION & LOGISTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL EMBEDDED AI FOR GOVERNMENT & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL EMBEDDED AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. GLOBAL EMBEDDED AI FOR OTHER VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 20. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 22. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 23. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 24. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 25. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 26. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 27. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 28. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 29. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 30. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 31. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 32. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 33. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 35. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022 VS 2030 (%)
  • 2. GLOBAL EMBEDDED AI HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL EMBEDDED AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL EMBEDDED AI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022 VS 2030 (%)
  • 6. GLOBAL NUMERICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL CATEGORICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL IMAGE AND VIDEO DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022 VS 2030 (%)
  • 10. GLOBAL EMBEDDED AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL EMBEDDED AI FOR HEALTHCARE & LIFESCIENCES MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL EMBEDDED AI FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 13. GLOBAL EMBEDDED AI FOR AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL EMBEDDED AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL EMBEDDED AI FOR ENERGY & POWER MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL EMBEDDED AI FOR TRANSPORTATION & LOGISTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL EMBEDDED AI FOR GOVERNMENT & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL EMBEDDED AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL EMBEDDED AI FOR OTHER VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 20. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. US EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. CANADA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. UK EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. FRANCE EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. GERMANY EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. ITALY EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. SPAIN EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. REST OF EUROPE EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. INDIA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. CHINA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. JAPAN EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. SOUTH KOREA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. REST OF ASIA-PACIFIC EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2027674

Title: Global Embedded AI Market Size, Share & Trends Analysis Report by Offering (Hardware, Software, and Services), by Data Type (Numerical Data, Categorical Data, and Image & Video Data), and by Vertical (BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others),Forecast Period (2023-2030).

The global embedded AI market is anticipated to grow at a considerable CAGR of 9.6% during the forecast period (2023-2030). Embedded AI is a general-purpose framework system for AI functions. It is built into network devices and provides common model management, data obtaining, and data preprocessing functions for AI algorithms. The growing demand for embedded AI in end-user industries is a key factor driving the growth of the global embedded AI market. This is due to the fact that an increase in the adoption of Embedded AI can potentially improve medical diagnosis and treatment in the healthcare sector. Embedded AI can improve factory automation in the manufacturing industry. In addition, embedded AI can radically improve the capabilities of home automation systems and smart wearables. To meet the growing demand from end-user industry, key players are making new product launches. For instance, in March 2022, NVIDIA Corp. launched Clara Holoscan MGX, a platform for the medical device industry to develop and deploy real-time AI applications at the edge, specifically designed to meet required regulatory standards. Clara Holoscan MGX Medical-Grade Platform with NVIDIA Orin and NVIDIA AI Software Stack Powers Systems Built by Embedded-Computing Leaders.

Segmental Outlook

The global embedded AI market is segmented on the offering, data type, and verticals. Based on the offering, the market is sub-segmented into hardware, software, and services. Based on the data type, the market is sub-segmented into numerical data, categorical data, and image & video data. Further, on the basis of verticals, the market is sub-segmented into BFSI, healthcare & life sciences, IT and telecom, automotive, media & entertainment, energy & power, transportation & logistics, government & defense, manufacturing, and others. Among the offerings, the software sub-segment is anticipated to hold a considerable share of the market owing to the specialized software tools and frameworks required to develop embedded AI applications.

The BFSI Sub-Segment is Anticipated to Hold a Considerable Share of the Global Embedded AI Market

Among the verticals, the BFSI sub-segment is expected to hold a considerable share of the global Embedded AImarket. The segmental growth is attributed to the growing influence of digital platforms is acting as a key factor for upgrading several business operations. AI can play a prime role in BFSI as it offers advanced data analytics to combat fraudulent transactions and improve compliance. The BFSI sector deal with enormous data and it becomes a tough task to manage it. AI can aid in managing a huge volume of data within a short period to gain valuable insights from it. Moreover, AI can help to discover anti-money laundering activities in a few seconds, The BFSI sector can deliver much better-quality services to a wider customer base using AI. In March 2023, Fintech company Intellect Design Arena launched eMACH.ai. The platform will provide cloud services with embedded artificial intelligence, powered by Amazon Web Services (AWS), to financial institutions. With the launch of eMACH.ai, the company visualized the future of banking to be ecosystem-led. Such developments are further contributing to the segmental market growth

Regional Outlook

The global embedded AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to the presence of companies with innovative AI technology, strong R&D skills, rising demand for intelligence edge services, and an established market ecosystem. The key market players in the regional market include Google LLC, IBM Corp., Microsoft Corp., and Amazon Web Services, Inc.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Embedded AI Market

Among all regions, the Asia-Pacific regions is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to economic developments and technological enhancements.The expanding population of the Asia-Pacific region, region is now experiencing tremendous expansion. As a result of Asia's fast pace of technical advancement and openness to new ideas, many businesses use this region's embrace of technology to their advantage. Enabling embedded lending companies are headquartered in Asia-Pacific., but the area attracts some of the most sophisticated regional fintech companies.

The digital economy is one area where Asia-Pacific's variety is evident. Even if notable fintech hubs like Singapore and Hong Kong exist, developing nations are steadily expanding their fintech capacities. As a consequence, the BFSI industry in the area is adopting embedded AI at a consistent pace. By leveraging the promise of embedded finance, some Southeast Asian businesses are already finding success. With all of these factors taken into account, the APAC region's market will see tremendous growth.

Market Players Outlook

The major companies serving the embedded AI market include Google LLC, IBM Corp., Microsoft Corp., Oracle Corp., Advanced Micro Devices, Inc., EdgeImpulse Inc., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in April 2023, NVIDIA Corp. entered into collaboration with IKERLAN, an embedded electronics and artificial intelligence provider. The collaboration aimed to increase the technological and knowledge capability of its teams in order to provide the industrial sector with the most innovative AI technology.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global embedded AI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Google LLC
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. IBM Corp.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Microsoft Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Embedded AI Market by Offering
    • 4.1.1. Hardware
    • 4.1.2. Software
    • 4.1.3. Services
  • 4.2. Global Embedded AI Market by Data Type
    • 4.2.1. Numerical Data
    • 4.2.2. Categorical Data
    • 4.2.3. Image & Video Data
  • 4.3. Global Embedded AI Market by Vertical
    • 4.3.1. BFSI
    • 4.3.2. Healthcare & Lifesciences
    • 4.3.3. IT & Telecom
    • 4.3.4. Automotive
    • 4.3.5. Media & Entertainment
    • 4.3.6. Energy & Power
    • 4.3.7. Transportation & Logistics
    • 4.3.8. Government & Defense
    • 4.3.9. Manufacturing
    • 4.3.10. Others

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Advanced Micro Devices, Inc.
  • 6.2. Au-Zone Technologies, Inc.
  • 6.3. Code Time Technologies
  • 6.4. EdgeImpulse Inc.
  • 6.5. Eta Compute Inc.
  • 6.6. Hewlett Packard Enterprise
  • 6.7. Intel Corp
  • 6.8. LUIS Technology GmbH
  • 6.9. MediaTek Inc.
  • 6.10. NeuroPace, Inc.
  • 6.11. NVIDIA Corp
  • 6.12. NXP Semiconductors N.V.
  • 6.13. Octonion Systems LLP
  • 6.14. Oracle Corp.
  • 6.15. Qualcomm
  • 6.16. Salesforce Inc
  • 6.17. SenseTime Group Ltd.
  • 6.18. SensiML Corp.
  • 6.19. Shenzhen HiSilicon Semiconductor Co., Ltd.
  • 6.20. Siemens AG
  • 6.21. STMicroelectronics N.V.
  • 6.22. Syntiant Corp.
  • 6.23. VectorBlox Computing Inc.