查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1843690

2025年嵌入式人工智慧全球市場報告

Embedded AI Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，嵌入式人工智慧市場呈現強勁成長勢頭，預計將從2024年的142.8億美元成長到2025年的156.8億美元，複合年成長率達9.8%。這段時期的成長主要得益於硬體元件的小型化、智慧型裝置需求的成長、連接性和物聯網的擴展、邊緣運算的改進以及穿戴式裝置的興起。

預計未來幾年嵌入式人工智慧市場規模將快速成長，到2029年將達到259.9億美元，複合年成長率（CAGR）為13.5%。預測期內的成長可歸因於嵌入式系統能效的提升、工業自動化的擴展、醫療保健領域對邊緣人工智慧需求的成長、5G網路的擴展以及嵌入式人工智慧安全措施的加強。預測期內的關鍵趨勢包括人工智慧在消費性電子產品中的整合、人工智慧最佳化處理器的開發、半導體技術的進步、人工智慧最佳化微控制器、邊緣人工智慧在機器人和無人機中的應用，以及邊緣人工智慧在永續和綠色運算中的應用。

嵌入式人工智慧是將機器學習和深度學習應用於設備級軟體，這些軟體專門用於在電子系統和設備中執行特定活動。該技術旨在透過增強分析能力，實現業務流程和任務的自動化，並為企業和使用者提供可操作的結果。

嵌入式人工智慧市場涵蓋硬體、軟體和服務。嵌入式人工智慧硬體由專用元件或系統組成，旨在直接在嵌入式裝置上支援人工智慧處理。它可以處理多種資料類型，包括感測器資料、影像和影片資料、數值資料以及分類資料。應用範圍廣泛，涵蓋智慧型手機、穿戴式裝置、汽車電子產品、智慧家庭、安防監控、無人機和機器人等。嵌入式人工智慧正被應用於眾多產業，包括銀行、金融服務和保險（BFSI）、資訊科技（IT）和IT服務（ITES）、零售和電子商務、製造業、醫療保健和生命科學、媒體和娛樂、電信以及汽車產業。

美國關稅的大幅上漲以及由此引發的2025年春季貿易緊張局勢，正對資訊科技產業，尤其是硬體製造、資料基礎設施和軟體部署領域產生重大影響。進口半導體、電路基板和網路設備的關稅提高，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

這份嵌入式人工智慧市場研究報告是商業研究公司最新報告系列的一部分，提供嵌入式人工智慧市場統計數據，例如全球嵌入式人工智慧產業的市場規模、區域佔有率、市場佔有率排名、詳細的市場細分、市場趨勢和商業機會。這份嵌入式人工智慧市場研究報告對該行業的現狀和未來發展趨勢進行了深入分析，為您提供所需的一切全面觀點。

未來五年13.5%的成長預測較我們先前對該市場的預測略微下調了0.5%。這一下調主要歸因於美國與其他國家之間的關稅影響。主要來自東亞的邊緣運算硬體和微控制器關稅預計將限制智慧型設備的擴充性並增加單位生產成本，從而影響美國嵌入式人工智慧的部署。此外，由於相互關稅以及貿易緊張局勢和限制措施升級對全球經濟和貿易造成的負面影響，這種影響也將更加廣泛。

工業自動化的興起預計將在未來推動嵌入式人工智慧市場的成長。工業自動化利用先進技術、控制系統和機器來簡化工業流程和操作。嵌入式人工智慧在工業自動化中發揮關鍵作用，能夠提高製造和生產過程中的生產力、效率和決策能力。它被應用於機器視覺、品管、預測性維護和機器人自動化等領域。例如，總部位於德國的非營利組織國際機器人聯合會（IFR）在2024年9月發布報告稱，到2023年，全球工廠中將有4,281,585台機器人運作，比前一年成長10%。因此，工業自動化的興起正在推動嵌入式人工智慧市場的成長。

物聯網設備的激增預計將推動嵌入式人工智慧市場的成長。物聯網設備整合了感測器、軟體和其他技術，利用嵌入式人工智慧在設備本地處理資料。這減少了對與中央伺服器持續通訊的依賴，從而實現即時決策、提高效率，並能夠在物聯網生態系統邊緣直接獲得有意義的洞察。例如，根據塞爾維亞網路安全解決方案公司Dataprot稱，2021年全球活躍的物聯網設備超過100億台，預計2030年將成長至254億台。因此，物聯網設備的激增是嵌入式人工智慧市場成長的關鍵促進因素。

技術產品創新已成為嵌入式人工智慧市場的一大趨勢，主要企業致力於開發創新產品以維持市場地位。 2023年5月，美國系統軟體公司康耐視（Cognex）推出了Advantage 182視覺系統，這是一款基於嵌入式人工智慧的解決方案，旨在自動化生命科學產業的複雜任務。 Advantage 182配備了先進的機器視覺、條碼讀取和邊緣學習技術，可自動執行從簡單的有無檢測到高精度對準和複雜顏色檢測等多種任務。它還具備一些特定應用功能，例如試管檢測和分類、離心血液的相位測量以及病理樣本識別。

嵌入式人工智慧市場的主要企業正致力於開發創新且技術先進的解決方案，例如先進的認知引擎嵌入式人工智慧系統，以提升人工智慧能力，提高處理速度並促進即時決策。先進的認知引擎嵌入式人工智慧解決方案是指直接嵌入硬體設備的先進人工智慧系統，它能夠進行複雜的數據處理、分析和決策，而無需過度依賴雲端運算。例如，2024年6月，法國航太公司賽峰集團(Safran SA)發布了先進認知引擎(ACE)，這是一款旨在透過增強情境察覺和決策支援以及降低人員認知負荷來提升軍事行動能力的嵌入式人工智慧解決方案。 ACE在2024年歐洲防務展(Eurosatory 2024)上發布，可為各種環境提供可客製化的功能，增強目標偵測和分類能力，預計將整合到賽峰集團的眾多產品中，包括陸地車輛、飛機和無人機。

2023年5月，總部位於德國的半導體製造商英飛凌科技股份公司（Infineon Technologies AG）完成了對瑞典軟體公司Imagimob AB的收購，具體金額未披露。此舉旨在加強英飛凌的嵌入式人工智慧解決方案，使其能夠利用Imagimob領先的TinyML和AutoML技術，並擴大基本客群。 Imagimob AB是一家總部位於瑞典的軟體公司，專注於開發用於在嵌入式設備上建立生產級機器學習工作流程的嵌入式人工智慧軟體。

參與嵌入式人工智慧市場的主要公司包括：Google有限責任公司、微軟公司、亞馬遜網路服務公司、西門子、英特爾公司、國際商業機器公司（IBM）、高通科技公司、甲骨文公司、SAP SE、HPE（惠普企業）、英偉達公司、Salesforce、AMD公司、聯發科公司、Adobe、意法半導體公司、恩智浦半導體公司、瑞薩電子公司、新思科技公司、賽靈思公司、ARM、海思半導體公司、萊迪思半導體公司、商業科技、C3. Technology、Appier、Uimk、pak、Birber、Vace、Bir)、BUamp、CirS.

預計到2024年，北美將成為嵌入式人工智慧市場最大的區域。這篇嵌入式人工智慧市場報告涵蓋以下地區：亞太地區、西歐、東歐、北美、南美、中東和非洲。

嵌入式人工智慧市場報告涵蓋的國家包括澳洲、巴西、中國、法國、德國、印度、印尼、日本、俄羅斯、韓國、英國、美國、義大利、西班牙和加拿大。

嵌入式人工智慧市場由提供嵌入式人工智慧服務的營業單位所獲得的收入構成，這些服務包括影像和影像處理、語音辨識、機器學習、自然語言處理、預測性維護、異常檢測和邊緣運算服務。市場價值包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。嵌入式人工智慧市場還包括用於提供嵌入式人工智慧服務的智慧音箱、自主機器人、智慧攝影機、工業自動化系統、穿戴式裝置、邊緣運算設備和個人助理的銷售額。該市場的價值為“出廠價”，即商品製造商或創造者銷售的商​​品價值，無論銷售對像是其他營業單位（包括下游製造商、批發商、經銷商和零售商）還是直接銷售給最終客戶。該市場中的商品價值還包括商品創造者銷售的任何相關服務的價值。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球嵌入式人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球嵌入式人工智慧市場：成長率分析
  • 全球嵌入式人工智慧市場表現：規模與成長，2019-2024年
  • 全球嵌入式人工智慧市場預測：規模與成長，2024-2029年，2034年
  • 全球嵌入式人工智慧：總潛在市場 (TAM)

第6章 市場細分

  • 全球嵌入式人工智慧市場：依產品、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 硬體
  • 軟體
  • 服務
  • 全球嵌入式人工智慧市場按資料類型分類：效能與預測，2019-2024年、2024-2029年、2034年
  • 感測器數據
  • 影像和視訊數據
  • 數值資料
  • 類別數據
  • 其他資料類型
  • 全球嵌入式人工智慧市場按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 智慧型手機
  • 穿戴式裝置
  • 車上電子設備
  • 智慧家庭
  • 安全監控
  • 無人機
  • 機器人
  • 其他用途
  • 全球嵌入式人工智慧市場：按產業、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 銀行、金融服務和保險（BFSI）
  • 資訊科技（IT）與資訊科技服務（ITES）
  • 零售與電子商務
  • 製造業
  • 醫療保健和生命科學
  • 媒體與娛樂
  • 通訊
  • 車
  • 其他行業
  • 全球嵌入式人工智慧市場：按硬體（類型）、效能和預測細分，2019-2024年、2024-2029年、2034年
  • 處理器
  • 感應器
  • 邊緣設備
  • 木板
  • 全球嵌入式人工智慧市場：按軟體類型、效能和預測細分，2019-2024年、2024-2029年、2034年
  • 人工智慧框架和平台
  • 開發工具
  • 中介軟體
  • 安全軟體
  • 全球嵌入式人工智慧市場：按服務類型、效能和預測細分，2019-2024年、2024-2029年、2034年
  • 諮詢服務
  • 整合服務
  • 維護和支援
  • 培訓和教育

第7章 區域和國家分析

  • 全球嵌入式人工智慧市場：按地區、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 全球嵌入式人工智慧市場：按國家、效能和預測分類，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 嵌入式人工智慧市場：競爭格局
  • 嵌入式人工智慧市場：公司概況
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Siemens Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • International Business Machines Corporation（IBM）
  • Qualcomm Technologies Inc.
  • Oracle Corporation
  • SAP SE
  • HPE（Hewlett Packard Enterprise）
  • Nvidia Corporation
  • Salesforce
  • Advanced Micro Devices Inc.
  • MediaTek Inc.
  • Adobe Inc.
  • STMicroelectronics NV
  • NXP Semiconductors NV
  • Renesas Electronics Corporation
  • Synopsys Inc.
  • Xilinx Inc.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年嵌入式人工智慧市場：提供新機會的國家
  • 嵌入式人工智慧 2029：充滿新機會的細分市場
  • 嵌入式人工智慧市場展望 2029：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r24894u

Embedded AI involves the application of machine learning and deep learning in software at the device level, specifically designed to perform particular activities within an electronic system or device. This technology aims to automate business processes and tasks, providing actionable results to businesses and users through enhanced analytics.

The main offerings in the embedded AI market include hardware, software, and services. Embedded AI hardware comprises specialized components or systems designed to support AI processing directly on embedded devices. It deals with various data types such as sensor data, image and video data, numeric data, categorical data, and others. Applications span across smartphones, wearable devices, vehicle electronics, smart homes, security monitoring, drones, robots, and more. Embedded AI is employed across various verticals, including banking, financial services and insurance (BFSI), information technology (IT) and IT-enabled services (ITES), retail and e-commerce, manufacturing, healthcare and life sciences, media and entertainment, telecom, automotive, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The embedded AI market research report is one of a series of new reports from The Business Research Company that provides embedded AI market statistics, including embedded AI industry global market size, regional shares, competitors with an embedded AI market share, detailed embedded AI market segments, market trends and opportunities, and any further data you may need to thrive in the embedded AI industry. This embedded AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The embedded ai market size has grown strongly in recent years. It will grow from $14.28 billion in 2024 to $15.68 billion in 2025 at a compound annual growth rate (CAGR) of 9.8%. The growth in the historic period can be attributed to miniaturization of hardware components, increasing demand for smart devices, growing connectivity and iot, improvements in edge computing, rise of wearable devices.

The embedded ai market size is expected to see rapid growth in the next few years. It will grow to $25.99 billion in 2029 at a compound annual growth rate (CAGR) of 13.5%. The growth in the forecast period can be attributed to enhanced energy efficiency in embedded systems, expansion of industrial automation, increased demand for edge AI in healthcare, expansion of 5g networks, enhanced security measures in embedded ai. Major trends in the forecast period include integration of AI in consumer electronics, development of ai-optimized processors, advances in semiconductor technology, ai-optimized microcontrollers, edge AI in robotics and drones, edge ai for sustainable and green computing.

The forecast of 13.5% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs on edge computing hardware and microcontrollers, sourced mainly from East Asia, are expected to impact embedded AI deployment in the U.S. by limiting scalability in smart devices and increasing unit production costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

An increase in industrial automation is expected to drive the growth of the embedded AI market in the future. Industrial automation employs advanced technologies, control systems, and machinery to streamline industrial processes and operations. Embedded AI plays a significant role in industrial automation by improving productivity, efficiency, and decision-making in manufacturing and production processes. It is utilized for applications such as machine vision, quality control, predictive maintenance, and robotics automation. For example, in September 2024, the International Federation of Robotics, a non-profit organization based in Germany, reported that in 2023, there were 4,281,585 units operating in factories globally, marking a 10% increase from the previous year. Thus, the rise in industrial automation is fueling the growth of the embedded AI market.

The growing adoption of IoT devices is anticipated to fuel the expansion of the embedded AI market. IoT devices, embedded with sensors, software, and other technologies, leverage embedded AI to facilitate local processing of data on the device itself. This reduces reliance on constant communication with centralized servers, leading to real-time decision-making, improved efficiency, and the ability to derive meaningful insights directly at the edge of IoT ecosystems. For instance, according to Dataprot, a Serbia-based cybersecurity solutions company, there were over ten billion active IoT devices in use in 2021, with projections to increase to 25.4 billion by 2030. Thus, the increasing adoption of IoT devices is a key driver for the growth of the embedded AI market.

The innovation of technological products stands out as a prominent trend in the embedded AI market, with major companies focusing on developing innovative products to maintain their market positions. In May 2023, Cognex Corporation, a US-based system software company, introduced the Advantage 182 vision system, an embedded AI-based solution designed to automate complex tasks in the life sciences industry. Featuring advanced machine vision, barcode reading, and edge learning technology, the Advantage 182 automates tasks ranging from simple presence/absence detection to high-precision alignment and complex color inspections. Notably, it includes application-specific features such as test tube detection and classification, measuring the phases of centrifuged blood, and identifying pathology samples.

Major companies in the embedded AI market are concentrating on developing innovative, technologically advanced solutions, such as advanced cognitive engine embedded AI systems, to improve the capabilities of AI by enhancing processing speeds and facilitating real-time decision-making. An Advanced Cognitive Engine embedded AI solution refers to a sophisticated AI system integrated directly into hardware devices, allowing for advanced data processing, analysis, and decision-making without a heavy reliance on cloud computing. For example, in June 2024, Safran S.A., a France-based aerospace company, introduced the Advanced Cognitive Engine (ACE), an embedded AI solution aimed at enhancing military operations by improving situational awareness and decision support while alleviating cognitive load on personnel. Unveiled at Eurosatory 2024, ACE provides customizable capabilities for various environments, boosts target detection and classification, and will be integrated across a broad range of Safran products, including land vehicles, aircraft, and drones.

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, completed the acquisition of Imagimob AB for an undisclosed amount. This strategic move aims to enhance Infineon's embedded AI solutions, providing access to Imagimob's leading TinyML and AutoML technologies, and expanding its customer base. Imagimob AB, a Sweden-based software company, specializes in developing embedded AI software for building production-grade machine learning workflows on embedded devices.

Major companies operating in the embedded ai market include Google LLC, Microsoft Corporation, Amazon Web Services Inc., Siemens, Intel Corporation, International Business Machines Corporation (IBM), Qualcomm Technologies Inc., Oracle Corporation, SAP SE, HPE (Hewlett Packard Enterprise), Nvidia Corporation, Salesforce, Advanced Micro Devices Inc, MediaTek Inc., Adobe Inc, STMicroelectronics NV, NXP Semiconductors NV, Renesas Electronics Corporation, Synopsys Inc., Xilinx Inc., Arm Limited., HiSilicon, Lattice Semiconductor, SenseTime, C3.ai, Appier, NeuroPace, AU-Zone Technologies, LUIS Technology, VectorBlox Computing Inc.

North America was the largest region in the embedded AI market in 2024. The regions covered in the embedded ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the embedded ai market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The embedded AI market consists of revenues earned by entities by providing embedded AI services such as image and video processing, speech recognition, machine learning, natural language processing, predictive maintenance, anomaly detection, and edge computing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The embedded AI market also includes sales of smart speakers, autonomous robots, intelligent cameras, industrial automation systems, wearable devices, edge computing devices, and personal assistants that are used in providing embedded AI services. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Embedded AI Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on embedded ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for embedded ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The embedded ai market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Offering: Hardware; Software; Services
  • 2) By Data Type: Sensor Data; Image And Video Data; Numeric Data; Categorial Data; Other Data Types
  • 3) By Application: Smart Phone; Wearable Device; Vehicle Electronics; Smart Home; Security Monitoring; Drone; Robot; Other Applications
  • 4) By Vertical: Banking, Financial Services And Insurance (BFSI); Information Technology (IT) And Information Technology Enabled Services (ITES); Retail And Ecommerce; Manufacturing; Healthcare And Life Sciences; Media And Entertainment; Telecom; Automotive; Other Verticals
  • Subsegments:
  • 1) By Hardware: Processors; Sensors; Edge Devices; Boards
  • 2) By Software: AI Frameworks And Platforms; Development Tools; Middleware; Security Software
  • 3) By Services: Consulting Services; Integration Services; Maintenance And Support; Training And Education
  • Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Siemens; Intel Corporation; International Business Machines Corporation (IBM); Qualcomm Technologies Inc.; Oracle Corporation; SAP SE; HPE (Hewlett Packard Enterprise); Nvidia Corporation; Salesforce; Advanced Micro Devices Inc; MediaTek Inc.; Adobe Inc; STMicroelectronics NV; NXP Semiconductors NV; Renesas Electronics Corporation; Synopsys Inc.; Xilinx Inc.; Arm Limited.; HiSilicon; Lattice Semiconductor; SenseTime; C3.ai; Appier; NeuroPace; AU-Zone Technologies; LUIS Technology; VectorBlox Computing Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Embedded AI Market Characteristics

3. Embedded AI Market Trends And Strategies

4. Embedded AI Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Embedded AI Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Embedded AI PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Embedded AI Market Growth Rate Analysis
  • 5.4. Global Embedded AI Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Embedded AI Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Embedded AI Total Addressable Market (TAM)

6. Embedded AI Market Segmentation

  • 6.1. Global Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensor Data
  • Image And Video Data
  • Numeric Data
  • Categorial Data
  • Other Data Types
  • 6.3. Global Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Phone
  • Wearable Device
  • Vehicle Electronics
  • Smart Home
  • Security Monitoring
  • Drone
  • Robot
  • Other Applications
  • 6.4. Global Embedded AI Market, Segmentation By Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services And Insurance (BFSI)
  • Information Technology (IT) And Information Technology Enabled Services (ITES)
  • Retail And Ecommerce
  • Manufacturing
  • Healthcare And Life Sciences
  • Media And Entertainment
  • Telecom
  • Automotive
  • Other Verticals
  • 6.5. Global Embedded AI Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Processors
  • Sensors
  • Edge Devices
  • Boards
  • 6.6. Global Embedded AI Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Frameworks And Platforms
  • Development Tools
  • Middleware
  • Security Software
  • 6.7. Global Embedded AI Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Integration Services
  • Maintenance And Support
  • Training And Education

7. Embedded AI Market Regional And Country Analysis

  • 7.1. Global Embedded AI Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Embedded AI Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Embedded AI Market

  • 8.1. Asia-Pacific Embedded AI Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Embedded AI Market

  • 9.1. China Embedded AI Market Overview
  • 9.2. China Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Embedded AI Market

  • 10.1. India Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Embedded AI Market

  • 11.1. Japan Embedded AI Market Overview
  • 11.2. Japan Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Embedded AI Market

  • 12.1. Australia Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Embedded AI Market

  • 13.1. Indonesia Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Embedded AI Market

  • 14.1. South Korea Embedded AI Market Overview
  • 14.2. South Korea Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Embedded AI Market

  • 15.1. Western Europe Embedded AI Market Overview
  • 15.2. Western Europe Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Embedded AI Market

  • 16.1. UK Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Embedded AI Market

  • 17.1. Germany Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Embedded AI Market

  • 18.1. France Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Embedded AI Market

  • 19.1. Italy Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Embedded AI Market

  • 20.1. Spain Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Embedded AI Market

  • 21.1. Eastern Europe Embedded AI Market Overview
  • 21.2. Eastern Europe Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Embedded AI Market

  • 22.1. Russia Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Embedded AI Market

  • 23.1. North America Embedded AI Market Overview
  • 23.2. North America Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Embedded AI Market

  • 24.1. USA Embedded AI Market Overview
  • 24.2. USA Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Embedded AI Market

  • 25.1. Canada Embedded AI Market Overview
  • 25.2. Canada Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Embedded AI Market

  • 26.1. South America Embedded AI Market Overview
  • 26.2. South America Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Embedded AI Market

  • 27.1. Brazil Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Embedded AI Market

  • 28.1. Middle East Embedded AI Market Overview
  • 28.2. Middle East Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Embedded AI Market

  • 29.1. Africa Embedded AI Market Overview
  • 29.2. Africa Embedded AI Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Embedded AI Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Embedded AI Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Embedded AI Market Competitive Landscape And Company Profiles

  • 30.1. Embedded AI Market Competitive Landscape
  • 30.2. Embedded AI Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Siemens Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Embedded AI Market Other Major And Innovative Companies

  • 31.1. International Business Machines Corporation (IBM)
  • 31.2. Qualcomm Technologies Inc.
  • 31.3. Oracle Corporation
  • 31.4. SAP SE
  • 31.5. HPE (Hewlett Packard Enterprise)
  • 31.6. Nvidia Corporation
  • 31.7. Salesforce
  • 31.8. Advanced Micro Devices Inc.
  • 31.9. MediaTek Inc.
  • 31.10. Adobe Inc.
  • 31.11. STMicroelectronics NV
  • 31.12. NXP Semiconductors NV
  • 31.13. Renesas Electronics Corporation
  • 31.14. Synopsys Inc.
  • 31.15. Xilinx Inc.

32. Global Embedded AI Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Embedded AI Market

34. Recent Developments In The Embedded AI Market

35. Embedded AI Market High Potential Countries, Segments and Strategies

  • 35.1 Embedded AI Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Embedded AI Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Embedded AI Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer