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市场调查报告书
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1843690

2025年嵌入式人工智慧全球市场报告

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个工作天内

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简介目录

近年来，嵌入式人工智慧市场呈现强劲成长势头，预计将从2024年的142.8亿美元成长到2025年的156.8亿美元，复合年增长率达9.8%。这段时期的成长主要得益于硬体元件的小型化、智慧型装置需求的成长、连接性和物联网的扩展、边缘运算的改进以及穿戴式装置的兴起。

预计未来几年嵌入式人工智慧市场规模将快速成长，到2029年将达到259.9亿美元，复合年增长率（CAGR）为13.5%。预测期内的成长可归因于嵌入式系统能效的提升、工业自动化的扩展、医疗保健领域对边缘人工智慧需求的成长、5G网路的扩展以及嵌入式人工智慧安全措施的加强。预测期内的关键趋势包括人工智慧在消费性电子产品中的整合、人工智慧优化处理器的开发、半导体技术的进步、人工智慧优化微控制器、边缘人工智慧在机器人和无人机中的应用，以及边缘人工智慧在永续和绿色运算中的应用。

嵌入式人工智慧是将机器学习和深度学习应用于设备级软体，这些软体专门用于在电子系统和设备中执行特定活动。该技术旨在透过增强分析能力，实现业务流程和任务的自动化，并为企业和使用者提供可操作的结果。

嵌入式人工智慧市场涵盖硬体、软体和服务。嵌入式人工智慧硬体由专用元件或系统组成，旨在直接在嵌入式装置上支援人工智慧处理。它可以处理多种资料类型，包括感测器资料、影像和影片资料、数值资料以及分类资料。应用范围广泛，涵盖智慧型手机、穿戴式装置、汽车电子产品、智慧家庭、安防监控、无人机和机器人等。嵌入式人工智慧正被应用于众多产业，包括银行、金融服务和保险（BFSI）、资讯科技（IT）和IT服务（ITES）、零售和电子商务、製造业、医疗保健和生命科学、媒体和娱乐、电信以及汽车产业。

美国关税的大幅上涨以及由此引发的2025年春季贸易紧张局势，正对资讯科技产业，尤其是硬体製造、资料基础设施和软体部署领域产生重大影响。进口半导体、电路基板和网路设备的关税提高，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份嵌入式人工智慧市场研究报告是商业研究公司最新报告系列的一部分，提供嵌入式人工智慧市场统计数据，例如全球嵌入式人工智慧产业的市场规模、区域份额、市场份额排名、详细的市场细分、市场趋势和商业机会。这份嵌入式人工智慧市场研究报告对该行业的现状和未来发展趋势进行了深入分析，为您提供所需的一切全面观点。

未来五年13.5%的成长预测较我们先前对该市场的预测略微下调了0.5%。这一下调主要归因于美国与其他国家之间的关税影响。主要来自东亚的边缘运算硬体和微控制器关税预计将限制智慧型设备的扩充性并增加单位生产成本，从而影响美国嵌入式人工智慧的部署。此外，由于相互关税以及贸易紧张局势和限制措施升级对全球经济和贸易造成的负面影响，这种影响也将更加广泛。

工业自动化的兴起预计将在未来推动嵌入式人工智慧市场的成长。工业自动化利用先进技术、控制系统和机器来简化工业流程和操作。嵌入式人工智慧在工业自动化中发挥关键作用，能够提高製造和生产过程中的生产力、效率和决策能力。它被应用于机器视觉、品管、预测性维护和机器人自动化等领域。例如，总部位于德国的非营利组织国际机器人联合会（IFR）在2024年9月发布报告称，到2023年，全球工厂中将有4,281,585台机器人运作，比前一年增长10%。因此，工业自动化的兴起正在推动嵌入式人工智慧市场的成长。

物联网设备的激增预计将推动嵌入式人工智慧市场的成长。物联网设备整合了感测器、软体和其他技术，利用嵌入式人工智慧在设备本地处理资料。这减少了对与中央伺服器持续通讯的依赖，从而实现即时决策、提高效率，并能够在物联网生态系统边缘直接获得有意义的洞察。例如，根据塞尔维亚网路安全解决方案公司Dataprot称，2021年全球活跃的物联网设备超过100亿台，预计2030年将成长至254亿台。因此，物联网设备的激增是嵌入式人工智慧市场成长的关键驱动因素。

技术产品创新已成为嵌入式人工智慧市场的一大趋势，主要企业致力于开发创新产品以维持市场地位。 2023年5月，美国系统软体公司康耐视（Cognex）推出了Advantage 182视觉系统，这是一款基于嵌入式人工智慧的解决方案，旨在自动化生命科学产业的复杂任务。 Advantage 182配备了先进的机器视觉、条码读取和边缘学习技术，可自动执行从简单的有无检测到高精度对准和复杂颜色检测等多种任务。它还具备一些特定应用功能，例如试管检测和分类、离心血液的相位测量以及病理样本识别。

嵌入式人工智慧市场的主要企业正致力于开发创新且技术先进的解决方案，例如先进的认知引擎嵌入式人工智慧系统，以提升人工智慧能力，提高处理速度并促进即时决策。先进的认知引擎嵌入式人工智慧解决方案是指直接嵌入硬体设备的先进人工智慧系统，它能够进行复杂的数据处理、分析和决策，而无需过度依赖云端运算。例如，2024年6月，法国航太公司赛峰集团(Safran SA)发布了先进认知引擎(ACE)，这是一款旨在透过增强情境察觉和决策支援以及降低人员认知负荷来提升军事行动能力的嵌入式人工智慧解决方案。 ACE在2024年欧洲防务展(Eurosatory 2024)上发布，可为各种环境提供可客製化的功能，增强目标侦测和分类能力，预计将整合到赛峰集团的众多产品中，包括陆地车辆、飞机和无人机。

2023年5月，总部位于德国的半导体製造商英飞凌科技股份公司（Infineon Technologies AG）完成了对瑞典软体公司Imagimob AB的收购，具体金额未披露。此举旨在加强英飞凌的嵌入式人工智慧解决方案，使其能够利用Imagimob领先的TinyML和AutoML技术，并扩大基本客群。 Imagimob AB是一家总部位于瑞典的软体公司，专注于开发用于在嵌入式设备上建立生产级机器学习工作流程的嵌入式人工智慧软体。

参与嵌入式人工智慧市场的主要公司包括：Google有限责任公司、微软公司、亚马逊网路服务公司、西门子、英特尔公司、国际商业机器公司（IBM）、高通科技公司、甲骨文公司、SAP SE、HPE（惠普企业）、英伟达公司、Salesforce、AMD公司、联发科公司、Adobe、意法半导体公司、恩智浦半导体公司、瑞萨电子公司、新思科技公司、赛灵思公司、ARM、海思半导体公司、莱迪思半导体公司、商业科技、C3. Technology、Appier、Uimk、pak、Birber、Vace、Bir)、BUamp、CirS.

预计到2024年，北美将成为嵌入式人工智慧市场最大的区域。这篇嵌入式人工智慧市场报告涵盖以下地区：亚太地区、西欧、东欧、北美、南美、中东和非洲。

嵌入式人工智慧市场报告涵盖的国家包括澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、义大利、西班牙和加拿大。

嵌入式人工智慧市场由提供嵌入式人工智慧服务的营业单位所获得的收入构成，这些服务包括影像和影像处理、语音辨识、机器学习、自然语言处理、预测性维护、异常检测和边缘运算服务。市场价值包括服务供应商销售的或包含在其服务产品中的相关商品的价值。嵌入式人工智慧市场还包括用于提供嵌入式人工智慧服务的智慧音箱、自主机器人、智慧摄影机、工业自动化系统、穿戴式装置、边缘运算设备和个人助理的销售额。该市场的价值为“出厂价”，即商品製造商或创造者销售的商​​品价值，无论销售对像是其他营业单位（包括下游製造商、批发商、经销商和零售商）还是直接销售给最终客户。该市场中的商品价值还包括商品创造者销售的任何相关服务的价值。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球嵌入式人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球嵌入式人工智慧市场：成长率分析
  • 全球嵌入式人工智慧市场表现：规模与成长，2019-2024年
  • 全球嵌入式人工智慧市场预测：规模与成长，2024-2029年，2034年
  • 全球嵌入式人工智慧：总潜在市场 (TAM)

第六章 市场细分

  • 全球嵌入式人工智慧市场：依产品、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 硬体
  • 软体
  • 服务
  • 全球嵌入式人工智慧市场按资料类型划分：效能与预测，2019-2024年、2024-2029年、2034年
  • 感测器数据
  • 影像和视讯数据
  • 数值资料
  • 类别数据
  • 其他资料类型
  • 全球嵌入式人工智慧市场按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 智慧型手机
  • 穿戴式装置
  • 车上电子设备
  • 智慧家庭
  • 安全监控
  • 无人机
  • 机器人
  • 其他用途
  • 全球嵌入式人工智慧市场：按产业、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 银行、金融服务和保险（BFSI）
  • 资讯科技（IT）与资讯科技服务（ITES）
  • 零售与电子商务
  • 製造业
  • 医疗保健和生命科学
  • 媒体与娱乐
  • 通讯
  • 车
  • 其他行业
  • 全球嵌入式人工智慧市场：按硬体（类型）、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 处理器
  • 感应器
  • 边缘设备
  • 木板
  • 全球嵌入式人工智慧市场：按软体类型、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 人工智慧框架和平台
  • 开发工具
  • 中介软体
  • 安全软体
  • 全球嵌入式人工智慧市场：按服务类型、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 咨询服务
  • 整合服务
  • 维护和支援
  • 培训和教育

第七章 区域和国家分析

  • 全球嵌入式人工智慧市场：按地区、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 全球嵌入式人工智慧市场：按国家、效能和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 嵌入式人工智慧市场：竞争格局
  • 嵌入式人工智慧市场：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年嵌入式人工智慧市场：提供新机会的国家
  • 嵌入式人工智慧 2029：充满新机会的细分市场
  • 嵌入式人工智慧市场展望 2029：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
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.

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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