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市場調查報告書
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1994704

2026年全球設備端多模態人工智慧（AI）市場報告

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個工作天內

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簡介目錄

近年來，基於設備的多模態人工智慧（AI）市場規模呈現爆炸性成長。預計該市場規模將從2025年的32.3億美元成長到2026年的41.2億美元，複合年成長率（CAGR）高達27.6%。過去幾年成長要素包括智慧型手機AI晶片組的普及、邊緣運算的興起、行動AI應用的擴展、嵌入式感測器的廣泛應用以及對低延遲AI的需求。

預計未來幾年，基於設備的多模態人工智慧（AI）市場規模將大幅成長，到2030年將達到110.2億美元，複合年成長率（CAGR）為27.9%。預測期內的成長預計將受到以下因素的推動：邊緣AI設備的增加、對注重隱私的AI需求的成長、多模態助手的擴展、邊緣AI晶片的日益普及以及自主邊緣系統的發展。預測期內的關鍵趨勢包括：邊緣多模態AI推理、設備端視覺和音訊模型、智慧型手機中的多模態AI處理、嵌入式多感測器AI系統以及即時多模態態邊緣分析。

預計未來幾年，人們對資料隱私和安全的日益關注將推動設備端多模態人工智慧 (AI) 市場的成長。資料隱私和安全是指旨在保護資訊未授權存取和破壞，同時保障個人資料權利的實務和措施。人們對隱私和安全日益關注，源自於個人透過數位平台在線上產生大量個人敏感數據，這些數據需要受到保護。設備端多模態AI 透過在設備本地處理資料而不是將其發送到雲端系統來增強隱私和安全。例如，根據總部位於美國的非營利組織網路安全中心 (CIS) 的數據，截至 2024 年 7 月，2024 年上半年的惡意軟體威脅比 2023 年同期增加了 30%，某些類別的增幅更是高達 92%。因此，人們對資料隱私和安全的日益關注正在推動設備端多模態AI 市場的成長。

在設備端多模態人工智慧市場中，主要企業正致力於硬體加速的多模態處理創新。例如，可更換電池模組可讓使用者在旅途中隨時更換耗盡的電池，從而延長設備的使用時間。可更換電池模組是一種整合在穿戴式裝置臂架上的可拆卸電池模組，無需為整個裝置充電即可輕鬆更換電池。例如，2026年1月，美國穿戴式科技公司Solos發布了其AirGo V2智慧眼鏡。 Solos AirGo V2智慧眼鏡整合了1,600萬像素超薄相機、即時影片功能和即時人工智慧助手，提供便利的裝置多模態人工智慧體驗。配戴這款智慧眼鏡後，使用者無需依賴智慧型手機即可詢問周圍環境、辨識物體和翻譯文字。全高清影片支援和電子防手震即使在運動場景下也能提供清晰的影像。 AirGo V2 透過在本地處理視覺和上下文數據，提高了穿戴式人工智慧的隱私性、回應速度和日常可用性。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球設備端多模態人工智慧（AI）市場：吸引力評分與分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 物聯網、智慧基礎設施、互聯生態系統
    • 身臨其境型技術（AR/VR/XR）與數位體驗
    • 數位化、雲端運算、巨量資料、網路安全
    • 自主系統、機器人、智慧運輸
  • 主要趨勢
    • 邊緣多模態人工智慧推理
    • 設備上的視覺和音頻模型
    • 智慧型手機上的多模態人工智慧處理
    • 嵌入式多感測器人工智慧系統
    • 即時多模態邊緣分析

第5章 終端用戶產業市場分析

  • 家用電子電器製造商
  • 汽車技術開發公司
  • 醫療設備製造商
  • 工業自動化公司
  • 零售技術提供商

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球設備端多模態人工智慧（AI）市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球設備端多模態人工智慧（AI）市場規模、對比及成長率分析
  • 全球設備端多模態人工智慧（AI）市場表現：規模與成長，2020-2025年
  • 全球設備端多模態人工智慧（AI）市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 硬體、軟體、服務
  • 按模式
  • 視覺和影像識別、語音和音訊識別、文字和語言處理、感測器資料整合以及其他模式
  • 最終用戶
  • 家用電子電器、汽車、醫療保健、工業、零售和其他終端用戶
  • 按類型細分：硬體
  • 應用處理器、神經處理單元、影像和感測器模組、記憶體和儲存組件、邊緣運算晶片
  • 按類型細分：軟體
  • 設備端推理軟體、多模態資料處理軟體、模型最佳化軟體、設備作業系統、安全性和隱私軟體
  • 按類型細分：服務
  • 諮詢服務、應用開發服務、整合和實施服務、效能最佳化服務、支援和維護服務

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球設備端多模態人工智慧 (AI) 市場：按地區分類，實際值和預測值，2020-2025 年、2025-2030 年預測值、2035 年預測值
  • 全球設備端多模態人工智慧 (AI) 市場：按國家/地區分類，實際結果和預測，2020-2025 年、2025-2030 年預測、2035 年預測

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 設備端多模態人工智慧（AI）市場：競爭格局與市場佔有率，2024年
  • 設備端多模態人工智慧（AI）市場：公司估值矩陣
  • 設備端多模態人工智慧（AI）市場：公司概況
    • Amazon.com Inc.
    • Apple Inc.
    • Google LLC
    • Microsoft Corporation
    • Samsung Electronics Co. Ltd.

第38章 其他大型企業和創新企業

  • 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 全球市場競爭基準分析與儀錶板

第40章：預計進入市場的Start-Ups

第41章 重大併購

第42章 具有高市場潛力的國家、細分市場與策略

  • 2030年設備端多模態人工智慧（AI）市場：提供新機會的國家
  • 2030 年設備端多模態人工智慧 (AI) 市場：提供新機會的細分市場
  • 2030 年設備端多模態人工智慧 (AI) 市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第43章附錄

簡介目錄
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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  • 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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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
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  • Bi-Annual Data Update
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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