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市场调查报告书
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1994704

2026年全球设备端多模态人工智慧（AI）市场报告

On-Device Multimodal Artificial Intelligence (AI) Global Market Report 2026
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，基于设备的多模态人工智慧（AI）市场规模呈现爆炸性成长。预计该市场规模将从2025年的32.3亿美元成长到2026年的41.2亿美元，复合年增长率（CAGR）高达27.6%。过去几年成长要素包括智慧型手机AI晶片组的普及、边缘运算的兴起、行动AI应用的扩展、嵌入式感测器的广泛应用以及对低延迟AI的需求。

预计未来几年，基于设备的多模态人工智慧（AI）市场规模将大幅成长，到2030年将达到110.2亿美元，复合年增长率（CAGR）为27.9%。预测期内的成长预计将受到以下因素的推动：边缘AI设备的增加、对注重隐私的AI需求的增长、多模态助手的扩展、边缘AI晶片的日益普及以及自主边缘系统的发展。预测期内的关键趋势包括：边缘多模态AI推理、设备端视觉和音讯模型、智慧型手机中的多模态AI处理、嵌入式多感测器AI系统以及即时多模态态边缘分析。

预计未来几年，人们对资料隐私和安全的日益关注将推动设备端多模态人工智慧 (AI) 市场的成长。资料隐私和安全是指旨在保护资讯未授权存取和破坏，同时保障个人资料权利的实务和措施。人们对隐私和安全日益关注，源自于个人透过数位平台在线上产生大量个人敏感数据，这些数据需要受到保护。设备端多模态AI 透过在设备本地处理资料而不是将其发送到云端系统来增强隐私和安全。例如，根据总部位于美国的非营利组织网路安全中心 (CIS) 的数据，截至 2024 年 7 月，2024 年上半年的恶意软体威胁比 2023 年同期增加了 30%，某些类别的增幅更是高达 92%。因此，人们对资料隐私和安全的日益关注正在推动设备端多模态AI 市场的成长。

在设备端多模态人工智慧市场中，主要企业正致力于硬体加速的多模态处理创新。例如，可更换电池模组可让使用者在旅途中随时更换耗尽的电池，从而延长设备的使用时间。可更换电池模组是一种整合在穿戴式装置臂架上的可拆卸电池模组，无需为整个装置充电即可轻鬆更换电池。例如，2026年1月，美国穿戴式科技公司Solos发布了其AirGo V2智慧眼镜。 Solos AirGo V2智慧眼镜整合了1,600万像素超薄相机、即时影片功能和即时人工智慧助手，提供便利的装置多模态人工智慧体验。配戴这款智慧眼镜后，使用者无需依赖智慧型手机即可询问周围环境、辨识物体和翻译文字。全高清影片支援和电子防手震即使在运动场景下也能提供清晰的影像。 AirGo V2 透过在本地处理视觉和上下文数据，提高了可穿戴人工智慧的隐私性、回应速度和日常可用性。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球设备端多模态人工智慧（AI）市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 物联网、智慧基础设施、互联生态系统
    • 身临其境型技术（AR/VR/XR）与数位体验
    • 数位化、云端运算、巨量资料、网路安全
    • 自主系统、机器人、智慧运输
  • 主要趋势
    • 边缘多模态人工智慧推理
    • 设备上的视觉和音频模型
    • 智慧型手机上的多模态人工智慧处理
    • 嵌入式多感测器人工智慧系统
    • 即时多模态边缘分析

第五章 终端用户产业市场分析

  • 家用电子电器製造商
  • 汽车技术开发公司
  • 医疗设备製造商
  • 工业自动化公司
  • 零售技术提供商

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球设备端多模态人工智慧（AI）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球设备端多模态人工智慧（AI）市场规模、对比及成长率分析
  • 全球设备端多模态人工智慧（AI）市场表现：规模与成长，2020-2025年
  • 全球设备端多模态人工智慧（AI）市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 硬体、软体、服务
  • 按模式
  • 视觉和影像识别、语音和音讯识别、文字和语言处理、感测器资料整合以及其他模式
  • 最终用户
  • 家用电子电器、汽车、医疗保健、工业、零售和其他终端用户
  • 按类型细分：硬体
  • 应用处理器、神经处理单元、影像和感测器模组、记忆体和储存组件、边缘运算晶片
  • 按类型细分：软体
  • 设备端推理软体、多模态资料处理软体、模型最佳化软体、设备作业系统、安全性和隐私软体
  • 按类型细分：服务
  • 咨询服务、应用开发服务、整合和实施服务、效能最佳化服务、支援和维护服务

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球设备端多模态人工智慧 (AI) 市场：按地区划分，实际值和预测值，2020-2025 年、2025-2030 年预测值、2035 年预测值
  • 全球设备端多模态人工智慧 (AI) 市场：按国家/地区划分，实际结果和预测，2020-2025 年、2025-2030 年预测、2035 年预测

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 设备端多模态人工智慧（AI）市场：竞争格局与市场份额，2024年
  • 设备端多模态人工智慧（AI）市场：公司估值矩阵
  • 设备端多模态人工智慧（AI）市场：公司概况
    • Amazon.com Inc.
    • Apple Inc.
    • Google LLC
    • Microsoft Corporation
    • Samsung Electronics Co. Ltd.

第38章 其他大型企业和创新企业

  • Huawei Technologies Co. Ltd., NVIDIA Corporation, Intel Corporation, Xiaomi Corporation, Qualcomm Technologies Inc., SK hynix Inc., Advanced Micro Devices Inc., Baidu Inc., MediaTek Inc., OPPO Guangdong Mobile Telecommunications Corp. Ltd., Arm Holdings plc, ShanghAI Unisoc Communication Technology Co. Ltd., SenseTime Group Ltd., Fuzhou Rockchip Electronics Co. Ltd., Axelera AI BV

第39章 全球市场竞争基准分析与仪錶板

第40章：预计进入市场的Start-Ups

第41章 重大併购

第42章 具有高市场潜力的国家、细分市场与策略

  • 2030年设备端多模态人工智慧（AI）市场：提供新机会的国家
  • 2030 年设备端多模态人工智慧 (AI) 市场：提供新机会的细分市场
  • 2030 年设备端多模态人工智慧 (AI) 市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第43章附录

简介目录
Product Code: IT4MODMA01_G26Q1

On-device multimodal artificial intelligence (AI) refers to AI systems that process and analyze multiple data types directly on a user's device, such as a smartphone, tablet, or edge device, without relying on cloud servers. This approach enables faster inference, lower latency, and enhanced privacy while integrating information across modalities for richer understanding and predictions. On-device multimodal AI is widely used in applications like voice assistants, real-time translation, and content understanding, delivering AI capabilities more efficiently and responsively.

The primary components of on-device multimodal artificial intelligence include hardware, software, and services. Hardware refers to processors, accelerators, and embedded systems that allow artificial intelligence models to operate directly on devices, enabling real-time processing, lower latency, and improved data privacy without cloud dependence. These solutions support multiple modalities such as vision and image recognition, speech and audio processing, text and language understanding, sensor data integration, and other functions to enable intelligent device capabilities. The end users include consumer electronics manufacturers, automotive companies, healthcare providers, industrial organizations, retail companies, and other sectors.

Tariffs on AI chipsets, sensors, and embedded processors are increasing device manufacturing costs in the on device multimodal artificial intelligence market. Hardware heavy segments such as edge devices and smart consumer electronics are most affected. Asia pacific assembly hubs and import dependent regions face margin pressure. These higher costs can slow adoption in price sensitive device categories. However, tariffs are encouraging domestic semiconductor packaging and localized edge hardware production.

The on-device multimodal artificial intelligence (AI) market research report is one of a series of new reports from The Business Research Company that provides on-device multimodal artificial intelligence (AI) market statistics, including on-device multimodal artificial intelligence (AI) industry global market size, regional shares, competitors with a on-device multimodal artificial intelligence (AI) market share, detailed on-device multimodal artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the on-device multimodal artificial intelligence (AI) industry. This on-device multimodal artificial intelligence (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 on-device multimodal artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $3.23 billion in 2025 to $4.12 billion in 2026 at a compound annual growth rate (CAGR) of 27.6%. The growth in the historic period can be attributed to smartphone AI chipset growth, rise of edge computing, expansion of mobile AI apps, growth in embedded sensors, demand for low latency ai.

The on-device multimodal artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $11.02 billion in 2030 at a compound annual growth rate (CAGR) of 27.9%. The growth in the forecast period can be attributed to growth in edge AI devices, rising privacy focused AI demand, expansion of multimodal assistants, increased edge AI chip adoption, growth of autonomous edge systems. Major trends in the forecast period include edge multimodal AI inference, on device vision and voice models, smartphone multimodal AI processing, embedded multisensor AI systems, real time multimodal edge analytics.

The increasing emphasis on data privacy and security is anticipated to advance the growth of the on-device multimodal artificial intelligence (AI) market in the years ahead. Data privacy and security encompass the practices and measures designed to protect information from unauthorized access or destruction while safeguarding individuals' data rights. The rising focus on privacy and security is driven by individuals generating larger amounts of personal and sensitive data online through digital platforms that require protection. On-device multimodal artificial intelligence processes data locally on devices rather than transmitting it to cloud systems, thereby enhancing privacy and security. For example, in July 2024, according to the Center for Internet Security (CIS), a US-based nonprofit organization, malware-based threats increased by 30% in the first half of 2024 compared to the same period in 2023, with a notable rise of 92% in certain categories. Therefore, the growing focus on data privacy and security is contributing to the growth of the on-device multimodal artificial intelligence market.

Leading companies operating in the on-device multimodal artificial intelligence market are focusing on innovations in hardware-accelerated multimodal processing, such as swappable battery temples, which enable extended device usage by allowing users to replace depleted batteries with fully charged ones while on the move. Swappable battery temples are removable battery modules built into the arms of wearable devices, allowing easy battery replacement without recharging the entire unit. For instance, in January 2026, Solos, a US-based wearable technology company, launched the AirGo V2 smart glasses. The Solos AirGo V2 smart glasses deliver a practical on-device multimodal AI experience by combining a 16MP ultra-slim camera, live video capture, and real-time AI assistance. The glasses enable users to ask questions about their surroundings, identify objects, and translate text without relying on smartphones. With Full HD video support and electronic image stabilization, they provide clear visuals even during movement. By processing visual and contextual data locally, the AirGo V2 improves privacy, responsiveness, and everyday usability in wearable AI.

In August 2025, NVIDIA Corporation, a US-based technology firm, partnered with RealSense to advance edge and on-device artificial intelligence solutions by integrating RealSense's AI-driven depth sensing and computer vision technologies with NVIDIA's Jetson and physical AI platforms. RealSense is a US-based computer vision company specializing in embedded depth cameras and on-device AI vision systems.

Major companies operating in the on-device multimodal artificial intelligence (AI) market are Amazon.com Inc., Apple Inc., Google LLC, Microsoft Corporation, Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., NVIDIA Corporation, Intel Corporation, Xiaomi Corporation, Qualcomm Technologies Inc., SK hynix Inc., Advanced Micro Devices Inc., Baidu Inc., MediaTek Inc., OPPO Guangdong Mobile Telecommunications Corp. Ltd., Arm Holdings plc, ShanghAI Unisoc Communication Technology Co. Ltd., SenseTime Group Ltd., Fuzhou Rockchip Electronics Co. Ltd., Axelera AI B.V., SiMa Technologies Inc., Sensory Inc., webAI Inc., Graphcore Limited, and Etched.AI Inc.

North America was the largest region in the on-device multimodal artificial intelligence (AI) market in 2025. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the on-device multimodal artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the on-device multimodal artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The on-device multimodal artificial intelligence (AI) market consists of revenues earned by entities by providing services such as cloud integration, data annotation, model training, edge computing support, predictive maintenance, computer vision solutions, natural language processing support, audio processing services, sensor data management. The market value includes the value of related goods sold by the service provider or included within the service offering. The on-device multimodal artificial intelligence (AI) market also includes sales of AI chipsets, edge devices, sensors, mobile platforms, wearable devices, robotics kits, imaging modules, voice recognition modules, augmented reality devices, data collection tools. 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.

On-Device Multimodal Artificial Intelligence (AI) Market Global Report 2026 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-device multimodal artificial intelligence (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

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  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for on-device multimodal artificial intelligence (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 on-device multimodal artificial intelligence (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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Hardware; Software; Services
  • 2) By Modality: Vision And Image Recognition; Speech And Audio Recognition; Text And Language Processing; Sensor Data Integration; Other Modalities
  • 3) By End-User: Consumer Electronics; Automotive; Healthcare; Industrial; Retail; Other End-Users
  • Subsegments:
  • 1) By Hardware: Application Processors; Neural Processing Units; Image And Sensor Modules; Memory And Storage Components; Edge Computing Chips
  • 2) By Software: On Device Inference Software; Multimodal Data Processing Software; Model Optimization Software; Device Operating Software; Security And Privacy Software
  • 3) By Services: Consulting Services; Application Development Services; Integration And Deployment Services; Performance Optimization Services; Support And Maintenance Services
  • Companies Mentioned: Amazon.com Inc.; Apple Inc.; Google LLC; Microsoft Corporation; Samsung Electronics Co. Ltd.; Huawei Technologies Co. Ltd.; NVIDIA Corporation; Intel Corporation; Xiaomi Corporation; Qualcomm Technologies Inc.; SK hynix Inc.; Advanced Micro Devices Inc.; Baidu Inc.; MediaTek Inc.; OPPO Guangdong Mobile Telecommunications Corp. Ltd.; Arm Holdings plc; ShanghAI Unisoc Communication Technology Co. Ltd.; SenseTime Group Ltd.; Fuzhou Rockchip Electronics Co. Ltd.; Axelera AI B.V.; SiMa Technologies Inc.; Sensory Inc.; webAI Inc.; Graphcore Limited; and Etched.AI Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. On-Device Multimodal Artificial Intelligence (AI) Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global On-Device Multimodal Artificial Intelligence (AI) Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. On-Device Multimodal Artificial Intelligence (AI) Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global On-Device Multimodal Artificial Intelligence (AI) Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.3 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 Edge Multimodal AI Inference
    • 4.2.2 On Device Vision And Voice Models
    • 4.2.3 Smartphone Multimodal AI Processing
    • 4.2.4 Embedded Multisensor AI Systems
    • 4.2.5 Real Time Multimodal Edge Analytics

5. On-Device Multimodal Artificial Intelligence (AI) Market Analysis Of End Use Industries

  • 5.1 Consumer Electronics Manufacturers
  • 5.2 Automotive Technology Developers
  • 5.3 Healthcare Device Companies
  • 5.4 Industrial Automation Firms
  • 5.5 Retail Technology Providers

6. On-Device Multimodal Artificial Intelligence (AI) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global On-Device Multimodal Artificial Intelligence (AI) Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global On-Device Multimodal Artificial Intelligence (AI) PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global On-Device Multimodal Artificial Intelligence (AI) Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global On-Device Multimodal Artificial Intelligence (AI) Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global On-Device Multimodal Artificial Intelligence (AI) Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global On-Device Multimodal Artificial Intelligence (AI) Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. On-Device Multimodal Artificial Intelligence (AI) Market Segmentation

  • 9.1. Global On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Vision And Image Recognition, Speech And Audio Recognition, Text And Language Processing, Sensor Data Integration, Other Modalities
  • 9.3. Global On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consumer Electronics, Automotive, Healthcare, Industrial, Retail, Other End-Users
  • 9.4. Global On-Device Multimodal Artificial Intelligence (AI) Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Application Processors, Neural Processing Units, Image And Sensor Modules, Memory And Storage Components, Edge Computing Chips
  • 9.5. Global On-Device Multimodal Artificial Intelligence (AI) Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On Device Inference Software, Multimodal Data Processing Software, Model Optimization Software, Device Operating Software, Security And Privacy Software
  • 9.6. Global On-Device Multimodal Artificial Intelligence (AI) Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, Application Development Services, Integration And Deployment Services, Performance Optimization Services, Support And Maintenance Services

10. On-Device Multimodal Artificial Intelligence (AI) Market, Industry Metrics By Country

  • 10.1. Global On-Device Multimodal Artificial Intelligence (AI) Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global On-Device Multimodal Artificial Intelligence (AI) Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. On-Device Multimodal Artificial Intelligence (AI) Market Regional And Country Analysis

  • 11.1. Global On-Device Multimodal Artificial Intelligence (AI) Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global On-Device Multimodal Artificial Intelligence (AI) Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific On-Device Multimodal Artificial Intelligence (AI) Market

  • 12.1. Asia-Pacific On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China On-Device Multimodal Artificial Intelligence (AI) Market

  • 13.1. China On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India On-Device Multimodal Artificial Intelligence (AI) Market

  • 14.1. India On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan On-Device Multimodal Artificial Intelligence (AI) Market

  • 15.1. Japan On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia On-Device Multimodal Artificial Intelligence (AI) Market

  • 16.1. Australia On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia On-Device Multimodal Artificial Intelligence (AI) Market

  • 17.1. Indonesia On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea On-Device Multimodal Artificial Intelligence (AI) Market

  • 18.1. South Korea On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan On-Device Multimodal Artificial Intelligence (AI) Market

  • 19.1. Taiwan On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia On-Device Multimodal Artificial Intelligence (AI) Market

  • 20.1. South East Asia On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe On-Device Multimodal Artificial Intelligence (AI) Market

  • 21.1. Western Europe On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK On-Device Multimodal Artificial Intelligence (AI) Market

  • 22.1. UK On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany On-Device Multimodal Artificial Intelligence (AI) Market

  • 23.1. Germany On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France On-Device Multimodal Artificial Intelligence (AI) Market

  • 24.1. France On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy On-Device Multimodal Artificial Intelligence (AI) Market

  • 25.1. Italy On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain On-Device Multimodal Artificial Intelligence (AI) Market

  • 26.1. Spain On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe On-Device Multimodal Artificial Intelligence (AI) Market

  • 27.1. Eastern Europe On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia On-Device Multimodal Artificial Intelligence (AI) Market

  • 28.1. Russia On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America On-Device Multimodal Artificial Intelligence (AI) Market

  • 29.1. North America On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA On-Device Multimodal Artificial Intelligence (AI) Market

  • 30.1. USA On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada On-Device Multimodal Artificial Intelligence (AI) Market

  • 31.1. Canada On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America On-Device Multimodal Artificial Intelligence (AI) Market

  • 32.1. South America On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil On-Device Multimodal Artificial Intelligence (AI) Market

  • 33.1. Brazil On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East On-Device Multimodal Artificial Intelligence (AI) Market

  • 34.1. Middle East On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa On-Device Multimodal Artificial Intelligence (AI) Market

  • 35.1. Africa On-Device Multimodal Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa On-Device Multimodal Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Modality, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. On-Device Multimodal Artificial Intelligence (AI) Market Regulatory and Investment Landscape

37. On-Device Multimodal Artificial Intelligence (AI) Market Competitive Landscape And Company Profiles

  • 37.1. On-Device Multimodal Artificial Intelligence (AI) Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. On-Device Multimodal Artificial Intelligence (AI) Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. On-Device Multimodal Artificial Intelligence (AI) Market Company Profiles
    • 37.3.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. On-Device Multimodal Artificial Intelligence (AI) Market Other Major And Innovative Companies

  • Huawei Technologies Co. Ltd., NVIDIA Corporation, Intel Corporation, Xiaomi Corporation, Qualcomm Technologies Inc., SK hynix Inc., Advanced Micro Devices Inc., Baidu Inc., MediaTek Inc., OPPO Guangdong Mobile Telecommunications Corp. Ltd., Arm Holdings plc, ShanghAI Unisoc Communication Technology Co. Ltd., SenseTime Group Ltd., Fuzhou Rockchip Electronics Co. Ltd., Axelera AI B.V.

39. Global On-Device Multimodal Artificial Intelligence (AI) Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The On-Device Multimodal Artificial Intelligence (AI) Market

42. On-Device Multimodal Artificial Intelligence (AI) Market High Potential Countries, Segments and Strategies

  • 42.1. On-Device Multimodal Artificial Intelligence (AI) Market In 2030 - Countries Offering Most New Opportunities
  • 42.2. On-Device Multimodal Artificial Intelligence (AI) Market In 2030 - Segments Offering Most New Opportunities
  • 42.3. On-Device Multimodal Artificial Intelligence (AI) Market In 2030 - Growth Strategies
    • 42.3.1. Market Trend Based Strategies
    • 42.3.2. Competitor Strategies

43. Appendix

  • 43.1. Abbreviations
  • 43.2. Currencies
  • 43.3. Historic And Forecast Inflation Rates
  • 43.4. Research Inquiries
  • 43.5. The Business Research Company
  • 43.6. Copyright And Disclaimer