샘플 요청 목록

 카트 문의
시장보고서
상품코드
1985195

온디바이스 AI(On-Device AI) 시장 규모, 점유율, 업계 분석 보고서 : 컴포넌트별, 기술별, 전개 형태별, 디바이스별, 업종 업계별, 지역별 전망과 예측(2025-2032년)

Global On-Device AI Market Size, Share & Industry Analysis Report By Component (Hardware, and Software), Based on Technology, By Deployment (On-premises, and Cloud), By Device, By Vertical, By Regional Outlook and Forecast, 2025 - 2032
발행일: | 리서치사: 구분자 KBV Research | 페이지 정보: 영문 674 Pages | 배송안내 : 즉시배송

    
    
    



가격
PDF (Single User License) help
PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 텍스트의 Copy & Paste 가능합니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 3,600 금액 안내 화살표 ￦ 5,401,000
PDF (Multi User License) help
PDF 보고서를 동일 기업의 10명까지 이용할 수 있는 라이선스입니다. 텍스트의 Copy & Paste 가능합니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 4,320 금액 안내 화살표 ￦ 6,481,000
PDF (Corporate User License) help
PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 텍스트의 Copy & Paste 가능합니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 6,048 금액 안내 화살표 ￦ 9,074,000
카드담기
※ 부가세 별도
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 온디바이스 AI 시장 규모는 2025년에 102억 4,000만 달러로 평가되었고, 2032년까지 547억 9,000만 달러에 이를 것으로 예측되며, 예측 기간(2025-2032년)의 CAGR은 27.1%를 나타낼 것으로 예측됩니다. 온디바이스 AI 시장의 급속한 성장은 스마트폰, 웨어러블, IoT 기기에서 실시간 처리에 대한 수요 증가, 데이터 프라이버시 강화, 클라우드에 대한 의존도 감소가 주도하고 있습니다. 엣지 AI 칩, 5G 연결, 최적화된 머신러닝 모델의 발전으로 도입이 더욱 가속화되어 견조한 매출 성장을 뒷받침하고 있습니다.

주요 하이라이트:

  • 2024년 북미 온디바이스 AI 시장은 전 세계 온디바이스 AI 시장을 주도하며 같은 해 매출 점유율 36.11%를 차지했습니다.
  • 미국의 온디바이스 AI 시장은 2032년까지 23억 6,000만 달러에 달할 것으로 예상되며, 북미에서 선도적인 위치를 유지할 것으로 전망됩니다.
  • 다양한 수직적 시장 부문 중 2024년에는 가전제품 부문이 세계 시장을 주도하며 44.09%의 매출 점유율을 차지했습니다.
  • 디바이스 부문에서는 스마트폰 및 태블릿이 세계 시장을 주도할 것으로 예상되며, 2032년까지 매출 점유율의 50.48%를 차지할 것으로 예측됩니다.
  • 2024년에는 머신러닝이 주요 최종 사용자로 부상하여 매출 점유율 42.64%를 차지했으며, 예측 기간 동안에도 그 우위를 유지할 것으로 예측됩니다.
  • 하드웨어 부문은 2032년 293억 달러 규모로 성장할 것으로 예상되며, 예측 기간 동안 선두 자리를 지킬 것으로 예측됩니다.

온디바이스 인공지능(AI)은 클라우드 서버에 의존하지 않고 웨어러블, 노트북, 스마트폰, 임베디드 시스템 등 하드웨어에서 직접 AI 모델을 실행하는 것을 말합니다. 이 접근 방식은 장치의 성능이 향상되고 칩 제조업체들이 음성 처리, 이미지 인식, 예측 입력과 같은 복잡한 작업을 처리할 수 있는 전용 신경처리장치(NPU)를 출시하면서 발전했습니다. 퀄컴(Qualcomm)과 애플(Apple)과 같은 주요 OEM 업체들은 AI 가속기와 최적화된 소프트웨어 프레임워크를 자사 플랫폼에 깊숙이 통합함으로써 이러한 전환을 더욱 가속화하여 저지연, 고속, 오프라인 AI 경험을 실현하고 있습니다. 최근 온디바이스 AI는 애플의 'Neural Engine', 'Core ML', 'Apple Intelligence' 등의 노력으로 대규모 언어 모델과 같은 고급 모델을 사용자 기기에서 프라이빗하게 실행할 수 있게 되었습니다. 할 수 있게 되었습니다.

인 디바이스 AI 시장의 성장은 규제 압박과 프라이버시에 대한 관심 증가, 그리고 건강 모니터링, 실시간 번역, 시각적 검색, 컨텍스트 기반 어시스턴트 등의 기능을 구현하는 동시에 반응성이 뛰어나고 항상 사용할 수 있는 메커니즘에 대한 니즈에 의해 주도되고 있습니다. 로컬 추론과 대규모 워크로드에 대한 선택적 클라우드 지원을 결합한 하이브리드 아키텍처가 발전하고 있습니다. 최적화 및 배포를 간소화하는 강화된 개발자 프레임워크에 힘입어 디바이스 내 AI는 AR/VR, IoT, 웨어러블, 자동차 시스템 등으로 빠르게 확장되고 있습니다. 이러한 추세는 효율성, 성능, 프라이버시의 균형을 유지하면서 보다 강력한 사용자 경험을 제공하는 분산형 AI의 미래를 시사하고 있습니다.

KBV Cardinal Matrix에 제시된 분석에 따르면, Google LLC, Apple, Inc. 혁신가의 일부가 되고 있습니다. Microsoft Corporation과 NVIDIA Corporation은 온디바이스 AI 시장의 선구자입니다. 2025년 6월, 구글 LLC와 OpenAI는 AI 분야의 라이벌 관계임에도 불구하고 계산 능력을 확장하기 위해 제휴를 맺었습니다. 이를 통해 OpenAI의 Microsoft Azure에 대한 의존도를 낮추고, 증가하는 AI 수요에 대응할 수 있게 됩니다. 이는 간접적으로 온디바이스 AI 시장을 포함한 광범위한 AI 생태계에도 이익을 가져다 줄 것입니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 개관

제3장 시장 개요

제4장 시장 동향 : 온디바이스 AI 시장

제5장 경쟁 : 온디바이스 AI 시장

제6장 시장 통합 : 온디바이스 AI 시장

제7장 주요 고객 기준 : 온디바이스 AI 시장

제8장 제품수명주기 : 온디바이스 AI 시장

제9장 밸류체인 분석 : 온디바이스 AI 시장

제10장 경쟁 분석 : 세계

제11장 세계 시장 : 컴포넌트별

제12장 세계 시장 : 기술별

제13장 세계 시장 : 전개 형태별

제14장 세계 시장 : 디바이스별

제15장 세계 시장 : 업계별

제16장 세계 시장 : 지역별

제17장 기업 개요

제18장 성공을 위한 필수 요건 : 온디바이스 AI 시장

LSH 26.04.13

The Global On-device AI Market size is estimated at $10.24 billion in 2025 and is expected to reach $54.79 billion by 2032, rising at a market growth of 27.1% CAGR during the forecast period (2025-2032). The rapid expansion of the on-device AI market is driven by growing demand for real-time processing, enhanced data privacy, and reduced cloud dependency across smartphones, wearables, and IoT devices. Advancements in edge AI chips, 5G connectivity, and optimized machine learning models further accelerate adoption and support strong revenue growth.

Key Highlights:

  • The North America On-device AI Market dominated Global On-device AI Market in 2024, accounting for a 36.11% revenue share in 2024.
  • The U.S. On-device AI Market is projected to maintain its leadership in North America, reaching a market size of USD 2.36 billion by 2032.
  • Among the various Vertical Segments, the Consumer Electronics segment dominated the global market, contributing a revenue share of 44.09% in 2024.
  • In terms of Device segments, Smartphones & Tablets are expected to lead the global market, with a projected revenue share of 50.48% by 2032.
  • Machine Learning emerged as the leading End Use in 2024, capturing a 42.64% revenue share, and is projected to retain its dominance during the forecast period.
  • The Hardware segment in component is poised to grow at the market in 2032 with a market size of USD 29.30 billion and is projected to maintain its dominant position throughout the forecast period.

On-device artificial intelligence (AI) involves running AI models directly on hardware like wearables, laptops, smartphones, and embedded systems, rather than relying on cloud servers. This approach developed as devices became more powerful and chipmakers unveiled dedicated neural processing units having the capability to handle complex task like speech processing, image recognition, and predictive text. Key OEMs like Qualcomm and Apple further supported the shift by deeply integrating AI accelerators and optimized software frameworks into their platforms, thus allowing low-latency, fast, and offline AI experiences. Recently, on-device AI has evolved into a core product strategy, with initiatives like Neural Engine, Apple's, Core ML, and Apple Intelligence enabling rising sophisticated models, such as large language models, to run privately on user devices.

The on-device AI market's growth is propelled by rising emphasis on regulatory pressure, privacy, and the need for responsive, always-available principles while allowing features like health monitoring, real-time translation, visual search, and contextual assistance. Hybrid architectures are developing where regional inference is combined with selective cloud support for large-scale workloads. On-device artificial intelligence is rapidly expanding into AR/VR, IoT, wearables, and automotive systems, driven by enhanced developer frameworks that simplify optimization and deployment. These trends point toward a distributed AI future that balances efficiency, performance, and privacy while delivering a more resilient user experience.

The major strategies followed by the market participants are Partnership as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, IBM partnered with Inclusive Brains to enhance brain-machine interfaces using AI and quantum technologies, aiming to classify brain activity patterns for accessibility. The collaboration enables real-time, adaptive, multimodal AI systems that empower users with disabilities through non-invasive, on-device interaction. Additionally, In June, 2025, Apple expanded its partnership with OpenAI and introduced new on-device AI features at WWDC 2025, including live translation, visual intelligence, and Siri upgrades. These enhancements emphasize privacy-focused, device-based AI processing, contrasting with competitors' cloud-based AI strategies.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Apple, Inc., Amazon Web Services, Inc. Companies such as Qualcomm Incorporated and IBM Corporation are some of the key innovators in On-device AI Market. Microsoft Corporation and NVIDIA Corporation are the forerunners in the On-device AI Market. In June, 2025, Google LLC and OpenAI partnered to expand its computing capacity, despite being AI rivals. This move reduces OpenAI's reliance on Microsoft Azure and supports its growing AI demands, indirectly benefiting the broader AI ecosystem, including the on-device AI market.

COVID 19 Impact Analysis

The COVID-19 pandemic hurt the on-device AI market by breaking up global supply chains and making processors, sensors, and edge AI chips hard to find. This pushed back product launches and raised production costs. Consumer demand fell because people were unsure about the economy and had less money to spend, which meant they put off buying non-essential AI-enabled devices. Enterprise adoption also slowed down because of budget issues and a shift in focus to infrastructure for remote work. Also, R&D was slowed down by problems with the workforce and limited access to facilities, which delayed new ideas and made them available for sale. All these things together slowed down short-term market growth and technological progress during the pandemic. Thus, the COVID-19 pandemic had a negative impact on the market.

Technology Outlook

Based on technology, the on-device AI market is segmented into machine learning, computer vision, natural language processing, and speech recognition. The computer vision segment attained 27% revenue share in the market in 2024. The computer vision segment focuses on enabling devices to interpret and analyze visual data such as images and video streams directly at the device level. This technology is widely used in applications including facial recognition, object detection, gesture control, augmented reality, surveillance systems, and autonomous navigation.

Deployment Outlook

Based on deployment, the on-device AI market is segmented into on-premises and cloud. The cloud segment acquired 29% revenue share in the market in 2024. The cloud segment within the on-device AI market involves leveraging cloud-based infrastructure to support certain aspects of AI model management, updates, and extended analytics while maintaining device-level intelligence. This deployment approach allows developers and organizations to centrally manage models, deploy updates, and scale AI capabilities across large device networks.

Regional Outlook

Region-wise, the on-device AI market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 36% revenue share in the market in 2024. The on-device artificial intelligence (AI) market is anticipated to grow at a significant rate in North America and Europe. The market is supported by early adoption of advanced AI software and hardware, strong presence of major tech and semiconductor companies. The market drives demand through rapid consumer electronics adoption, noticeable R&D investment, and enterprise integration across healthcare, automotive, and IoT, favoring regional processing for privacy and performance benefits. Moreover, the European on-device artificial intelligence market is estimated to expand during the forecast period. This is because of investments in AI innovation and strict data privacy frameworks like GDPR that encourage on-device processing to reduce dependency on the cloud. European growth is also driven by industrial automation and rising smart city deployments that support regional AI interference to improve responsiveness and compliance.

In the Asia Pacific and LAMEA regions, the on-device AI market is projected to capture a noticeable share during the forecast period. The market is driven by widespread smartphone penetration, proactive government initiatives, and strong consumer electronics manufacturing hubs. This growth is further supported by a large volume of AI-driven devices shipped and surging adoption across industries from smart manufacturing to connected mobility. Furthermore, the LAMEA on-device artificial intelligence market is witnessing expansion at a steady pace. Some of the elements supporting expansion include smart city projects, digital transformation efforts, and increasing IoT adoption in the region, creating opportunities for on-device AI solutions that emphasize real-time responsiveness and regional data handling.

Recent Strategies Deployed in the Market

  • Jun-2025: Apple, Inc. expanded its on-device AI capabilities through Apple Intelligence, integrating writing tools, image generation, and a revamped Siri across apps. These features enhance user privacy and performance by processing AI tasks directly on iPhones, marking Apple's deeper entry into on-device AI.
  • May-2025: Intel Corporation and Elliptic Labs entered a long-term partnership to integrate AI Virtual Smart Sensors into Intel's AI laptops, enabling real-time, on-device sensing and responsiveness, advancing intelligent, energy-efficient personal computing within the On-device AI market.
  • Apr-2025: Google LLC and Samsung expanded their partnership to integrate Gemini AI into Samsung's Ballie home robot. This enables personalized, on-device interactions through multimodal inputs, marking a key advancement in on-device AI for real-time home assistance and user engagement.
  • Mar-2025: Google, NVIDIA, Alphabet expanded their partnership to advance agentic and physical AI, optimize open models like Gemma for NVIDIA GPUs, and integrate SynthID for content transparency, supporting applications in robotics, drug discovery, and edge-friendly AI development across industries.
  • Mar-2025: Intel launched AI Edge Systems, Edge AI Suites, and the Open Edge Platform to accelerate AI adoption at the edge. These tools enable low-power, real-time AI integration into existing infrastructure across industries, supporting the growth of the On-device AI market.
  • Mar-2025: Qualcomm partnered with FYI.AI, founded by will.i.am, to integrate on-device AI into Snapdragon-powered devices. The collaboration enhances FYI's creative tools with improved personalization, speed, and privacy, expanding across smartphones, XR, cars, and robotics for real-time AI-driven content creation.

List of Key Companies Profiled

  • Google LLC
  • Apple, Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Advanced Micro Devices, Inc.
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)

Global On-device AI Market Report Segmentation

By Component

  • Hardware
  • Software

By Technology

  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Speech Recognition

By Deployment

  • On-premises
  • Cloud

By Device

  • Smartphones & Tablets
  • Automotive
  • Smart Home Devices
  • Wearables
  • Other Device

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Security & Surveillance
  • Manufacturing
  • Retail
  • Other Vertical

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global On-Device AI Market, by Component
    • 1.4.2 Global On-Device AI Market, by Technology
    • 1.4.3 Global On-Device AI Market, by Deployment
    • 1.4.4 Global On-Device AI Market, by Device
    • 1.4.5 Global On-Device AI Market, by Vertical
    • 1.4.6 Global On-Device AI Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - On-Device AI Market

Chapter 5. State of Competition - On-Device AI Market

Chapter 6. Market Consolidation - On-Device AI Market

Chapter 7. Key Customer Criteria - On-Device AI Market

Chapter 8. Product Life Cycle - On-Device AI Market

Chapter 9. Value Chain Analysis of On-device AI Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
  • 10.3 Market Share Analysis, 2024
  • 10.4 Top Winning Strategies
    • 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 10.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2024, Oct - 2025, Jun) Leading Players
  • 10.5 Porter Five Forces Analysis

Chapter 11. Global On-Device AI Market by Component

  • 11.1 Global Hardware Market by Region
  • 11.2 Global Software Market by Region

Chapter 12. Global On-Device AI Market by Technology

  • 12.1 Global Machine Learning Market by Region
  • 12.2 Global Computer Vision Market by Region
  • 12.3 Global Natural Language Processing Market by Region
  • 12.4 Global Speech Recognition Market by Region

Chapter 13. Global On-Device AI Market by Deployment

  • 13.1 Global On-premises Market by Region
  • 13.2 Global Cloud Market by Region

Chapter 14. Global On-Device AI Market by Device

  • 14.1 Global Smartphones & Tablets Market by Region
  • 14.2 Global Automotive Market by Region
  • 14.3 Global Smart Home Devices Market by Region
  • 14.4 Global Wearables Market by Region
  • 14.5 Global Other Device Market by Region

Chapter 15. Global On-Device AI Market by Vertical

  • 15.1 Global Consumer Electronics Market by Region
  • 15.2 Global Automotive Market by Region
  • 15.3 Global Healthcare Market by Region
  • 15.4 Global Security & Surveillance Market by Region
  • 15.5 Global Manufacturing Market by Region
  • 15.6 Global Retail Market by Region
  • 15.7 Global Other Vertical Market by Region

Chapter 16. Global On-Device AI Market by Region

  • 16.1 North America On-Device AI Market
  • 16.2 Key Factors Impacting the Market
    • 16.2.1 Market Drivers
    • 16.2.2 Market Restraints
    • 16.2.3 Market Opportunities
    • 16.2.4 Market Challenges
    • 16.2.5 Market Trends - North America On-Device AI Market
    • 16.2.6 State of Competition - North America On-Device AI Market
    • 16.2.7 Market Consolidation - North America On-Device AI Market
    • 16.2.8 Key Customer Criteria - North America On-Device AI Market
    • 16.2.9 Product Life Cycle - North America On-Device AI Market
    • 16.2.10 North America On-Device AI Market by Component
      • 16.2.10.1 North America Hardware Market by Country
      • 16.2.10.2 North America Software Market by Country
    • 16.2.11 North America On-Device AI Market by Technology
      • 16.2.11.1 North America Machine Learning Market by Region
      • 16.2.11.2 North America Computer Vision Market by Region
      • 16.2.11.3 North America Natural Language Processing Market by Region
      • 16.2.11.4 North America Speech Recognition Market by Region
    • 16.2.12 North America On-Device AI Market by Deployment
      • 16.2.12.1 North America On-premises Market by Country
      • 16.2.12.2 North America Cloud Market by Country
    • 16.2.13 North America On-Device AI Market by Device
      • 16.2.13.1 North America Smartphones & Tablets Market by Country
      • 16.2.13.2 North America Automotive Market by Country
      • 16.2.13.3 North America Smart Home Devices Market by Country
      • 16.2.13.4 North America Wearables Market by Country
      • 16.2.13.5 North America Other Device Market by Country
    • 16.2.14 North America On-Device AI Market by Vertical
      • 16.2.14.1 North America Consumer Electronics Market by Country
      • 16.2.14.2 North America Automotive Market by Country
      • 16.2.14.3 North America Healthcare Market by Country
      • 16.2.14.4 North America Security & Surveillance Market by Country
      • 16.2.14.5 North America Manufacturing Market by Country
      • 16.2.14.6 North America Retail Market by Country
      • 16.2.14.7 North America Other Vertical Market by Country
    • 16.2.15 North America On-Device AI Market by Country
      • 16.2.15.1 US On-Device AI Market
        • 16.2.15.1.1 US On-Device AI Market by Component
        • 16.2.15.1.2 US On-Device AI Market by Technology
        • 16.2.15.1.3 US On-Device AI Market by Deployment
        • 16.2.15.1.4 US On-Device AI Market by Device
        • 16.2.15.1.5 US On-Device AI Market by Vertical
      • 16.2.15.2 Canada On-Device AI Market
        • 16.2.15.2.1 Canada On-Device AI Market by Component
        • 16.2.15.2.2 Canada On-Device AI Market by Technology
        • 16.2.15.2.3 Canada On-Device AI Market by Deployment
        • 16.2.15.2.4 Canada On-Device AI Market by Device
        • 16.2.15.2.5 Canada On-Device AI Market by Vertical
      • 16.2.15.3 Mexico On-Device AI Market
        • 16.2.15.3.1 Mexico On-Device AI Market by Component
        • 16.2.15.3.2 Mexico On-Device AI Market by Technology
        • 16.2.15.3.3 Mexico On-Device AI Market by Deployment
        • 16.2.15.3.4 Mexico On-Device AI Market by Device
        • 16.2.15.3.5 Mexico On-Device AI Market by Vertical
      • 16.2.15.4 Rest of North America On-Device AI Market
        • 16.2.15.4.1 Rest of North America On-Device AI Market by Component
        • 16.2.15.4.2 Rest of North America On-Device AI Market by Technology
        • 16.2.15.4.3 Rest of North America On-Device AI Market by Deployment
        • 16.2.15.4.4 Rest of North America On-Device AI Market by Device
        • 16.2.15.4.5 Rest of North America On-Device AI Market by Vertical
  • 16.3 Europe On-Device AI Market
  • 16.4 Key Factors Impacting the Market
    • 16.4.1 Market Drivers
    • 16.4.2 Market Restraints
    • 16.4.3 Market Opportunities
    • 16.4.4 Market Challenges
    • 16.4.5 Market Trends - Europe On-Device AI Market
    • 16.4.6 State of Competition - Europe On-Device AI Market
    • 16.4.7 Market Consolidation - Europe On-Device AI Market
    • 16.4.8 Key Customer Criteria - Europe On-Device AI Market
    • 16.4.9 Product Life Cycle - On-Device AI Market
    • 16.4.10 Europe On-Device AI Market by Component
      • 16.4.10.1 Europe Hardware Market by Country
      • 16.4.10.2 Europe Software Market by Country
    • 16.4.11 Europe On-Device AI Market by Technology
      • 16.4.11.1 Europe Machine Learning Market by Country
      • 16.4.11.2 Europe Computer Vision Market by Country
      • 16.4.11.3 Europe Natural Language Processing Market by Country
      • 16.4.11.4 Europe Speech Recognition Market by Country
    • 16.4.12 Europe On-Device AI Market by Deployment
      • 16.4.12.1 Europe On-premises Market by Country
      • 16.4.12.2 Europe Cloud Market by Country
    • 16.4.13 Europe On-Device AI Market by Device
      • 16.4.13.1 Europe Smartphones & Tablets Market by Country
      • 16.4.13.2 Europe Automotive Market by Country
      • 16.4.13.3 Europe Smart Home Devices Market by Country
      • 16.4.13.4 Europe Wearables Market by Country
      • 16.4.13.5 Europe Other Device Market by Country
    • 16.4.14 Europe On-Device AI Market by Vertical
      • 16.4.14.1 Europe Consumer Electronics Market by Country
      • 16.4.14.2 Europe Automotive Market by Country
      • 16.4.14.3 Europe Healthcare Market by Country
      • 16.4.14.4 Europe Security & Surveillance Market by Country
      • 16.4.14.5 Europe Manufacturing Market by Country
      • 16.4.14.6 Europe Retail Market by Country
      • 16.4.14.7 Europe Other Vertical Market by Country
    • 16.4.15 Europe On-Device AI Market by Country
      • 16.4.15.1 Germany On-Device AI Market
        • 16.4.15.1.1 Germany On-Device AI Market by Component
        • 16.4.15.1.2 Germany On-Device AI Market by Technology
        • 16.4.15.1.3 Germany On-Device AI Market by Deployment
        • 16.4.15.1.4 Germany On-Device AI Market by Device
        • 16.4.15.1.5 Germany On-Device AI Market by Vertical
      • 16.4.15.2 UK On-Device AI Market
        • 16.4.15.2.1 UK On-Device AI Market by Component
        • 16.4.15.2.2 UK On-Device AI Market by Technology
        • 16.4.15.2.3 UK On-Device AI Market by Deployment
        • 16.4.15.2.4 UK On-Device AI Market by Device
        • 16.4.15.2.5 UK On-Device AI Market by Vertical
      • 16.4.15.3 France On-Device AI Market
        • 16.4.15.3.1 France On-Device AI Market by Component
        • 16.4.15.3.2 France On-Device AI Market by Technology
        • 16.4.15.3.3 France On-Device AI Market by Deployment
        • 16.4.15.3.4 France On-Device AI Market by Device
        • 16.4.15.3.5 France On-Device AI Market by Vertical
      • 16.4.15.4 Russia On-Device AI Market
        • 16.4.15.4.1 Russia On-Device AI Market by Component
        • 16.4.15.4.2 Russia On-Device AI Market by Technology
        • 16.4.15.4.3 Russia On-Device AI Market by Deployment
        • 16.4.15.4.4 Russia On-Device AI Market by Device
        • 16.4.15.4.5 Russia On-Device AI Market by Vertical
      • 16.4.15.5 Spain On-Device AI Market
        • 16.4.15.5.1 Spain On-Device AI Market by Component
        • 16.4.15.5.2 Spain On-Device AI Market by Technology
        • 16.4.15.5.3 Spain On-Device AI Market by Deployment
        • 16.4.15.5.4 Spain On-Device AI Market by Device
        • 16.4.15.5.5 Spain On-Device AI Market by Vertical
      • 16.4.15.6 Italy On-Device AI Market
        • 16.4.15.6.1 Italy On-Device AI Market by Component
        • 16.4.15.6.2 Italy On-Device AI Market by Technology
        • 16.4.15.6.3 Italy On-Device AI Market by Deployment
        • 16.4.15.6.4 Italy On-Device AI Market by Device
        • 16.4.15.6.5 Italy On-Device AI Market by Vertical
      • 16.4.15.7 Rest of Europe On-Device AI Market
        • 16.4.15.7.1 Rest of Europe On-Device AI Market by Component
        • 16.4.15.7.2 Rest of Europe On-Device AI Market by Technology
        • 16.4.15.7.3 Rest of Europe On-Device AI Market by Deployment
        • 16.4.15.7.4 Rest of Europe On-Device AI Market by Device
        • 16.4.15.7.5 Rest of Europe On-Device AI Market by Vertical
  • 16.5 Asia Pacific On-Device AI Market
  • 16.6 Key Factors Impacting the Market
    • 16.6.1 Market Drivers
    • 16.6.2 Market Restraints
    • 16.6.3 Market Opportunities
    • 16.6.4 Market Challenges
    • 16.6.5 Market Trends - Asia Pacific On-Device AI Market
    • 16.6.6 State of Competition - Asia Pacific On-Device AI Market
    • 16.6.7 Market Consolidation - Asia Pacific On-Device AI Market
    • 16.6.8 Key Customer Criteria - Asia Pacific On-Device AI Market
    • 16.6.9 Product Life Cycle - On-Device AI Market
    • 16.6.10 Asia Pacific On-Device AI Market by Component
      • 16.6.10.1 Asia Pacific Hardware Market by Country
      • 16.6.10.2 Asia Pacific Software Market by Country
    • 16.6.11 Asia Pacific On-Device AI Market by Technology
      • 16.6.11.1 Asia Pacific Machine Learning Market by Country
      • 16.6.11.2 Asia Pacific Computer Vision Market by Country
      • 16.6.11.3 Asia Pacific Natural Language Processing Market by Country
      • 16.6.11.4 Asia Pacific Speech Recognition Market by Country
    • 16.6.12 Asia Pacific On-Device AI Market by Deployment
      • 16.6.12.1 Asia Pacific On-premises Market by Country
      • 16.6.12.2 Asia Pacific Cloud Market by Country
    • 16.6.13 Asia Pacific On-Device AI Market by Device
      • 16.6.13.1 Asia Pacific Smartphones & Tablets Market by Country
      • 16.6.13.2 Asia Pacific Automotive Market by Country
      • 16.6.13.3 Asia Pacific Smart Home Devices Market by Country
      • 16.6.13.4 Asia Pacific Wearables Market by Country
      • 16.6.13.5 Asia Pacific Other Device Market by Country
    • 16.6.14 Asia Pacific On-Device AI Market by Vertical
      • 16.6.14.1 Asia Pacific Consumer Electronics Market by Country
      • 16.6.14.2 Asia Pacific Automotive Market by Country
      • 16.6.14.3 Asia Pacific Healthcare Market by Country
      • 16.6.14.4 Asia Pacific Security & Surveillance Market by Country
      • 16.6.14.5 Asia Pacific Manufacturing Market by Country
      • 16.6.14.6 Asia Pacific Retail Market by Country
      • 16.6.14.7 Asia Pacific Other Vertical Market by Country
    • 16.6.15 Asia Pacific On-Device AI Market by Country
      • 16.6.15.1 China On-Device AI Market
        • 16.6.15.1.1 China On-Device AI Market by Component
        • 16.6.15.1.2 China On-Device AI Market by Technology
        • 16.6.15.1.3 China On-Device AI Market by Deployment
        • 16.6.15.1.4 China On-Device AI Market by Device
        • 16.6.15.1.5 China On-Device AI Market by Vertical
      • 16.6.15.2 Japan On-Device AI Market
        • 16.6.15.2.1 Japan On-Device AI Market by Component
        • 16.6.15.2.2 Japan On-Device AI Market by Technology
        • 16.6.15.2.3 Japan On-Device AI Market by Deployment
        • 16.6.15.2.4 Japan On-Device AI Market by Device
        • 16.6.15.2.5 Japan On-Device AI Market by Vertical
      • 16.6.15.3 India On-Device AI Market
        • 16.6.15.3.1 India On-Device AI Market by Component
        • 16.6.15.3.2 India On-Device AI Market by Technology
        • 16.6.15.3.3 India On-Device AI Market by Deployment
        • 16.6.15.3.4 India On-Device AI Market by Device
        • 16.6.15.3.5 India On-Device AI Market by Vertical
      • 16.6.15.4 South Korea On-Device AI Market
        • 16.6.15.4.1 South Korea On-Device AI Market by Component
        • 16.6.15.4.2 South Korea On-Device AI Market by Technology
        • 16.6.15.4.3 South Korea On-Device AI Market by Deployment
        • 16.6.15.4.4 South Korea On-Device AI Market by Device
        • 16.6.15.4.5 South Korea On-Device AI Market by Vertical
      • 16.6.15.5 Singapore On-Device AI Market
        • 16.6.15.5.1 Singapore On-Device AI Market by Component
        • 16.6.15.5.2 Singapore On-Device AI Market by Technology
        • 16.6.15.5.3 Singapore On-Device AI Market by Deployment
        • 16.6.15.5.4 Singapore On-Device AI Market by Device
        • 16.6.15.5.5 Singapore On-Device AI Market by Vertical
      • 16.6.15.6 Malaysia On-Device AI Market
        • 16.6.15.6.1 Malaysia On-Device AI Market by Component
        • 16.6.15.6.2 Malaysia On-Device AI Market by Technology
        • 16.6.15.6.3 Malaysia On-Device AI Market by Deployment
        • 16.6.15.6.4 Malaysia On-Device AI Market by Device
        • 16.6.15.6.5 Malaysia On-Device AI Market by Vertical
      • 16.6.15.7 Rest of Asia Pacific On-Device AI Market
        • 16.6.15.7.1 Rest of Asia Pacific On-Device AI Market by Component
        • 16.6.15.7.2 Rest of Asia Pacific On-Device AI Market by Technology
        • 16.6.15.7.3 Rest of Asia Pacific On-Device AI Market by Deployment
        • 16.6.15.7.4 Rest of Asia Pacific On-Device AI Market by Device
        • 16.6.15.7.5 Rest of Asia Pacific On-Device AI Market by Vertical
  • 16.7 LAMEA On-Device AI Market
  • 16.8 Key Factors Impacting the Market
    • 16.8.1 Market Drivers
    • 16.8.2 Market Restraints
    • 16.8.3 Market Opportunities
    • 16.8.4 Market Challenges
    • 16.8.5 Market Trends - LAMEA On-Device AI Market
    • 16.8.6 State of Competition - LAMEA On-Device AI Market
    • 16.8.7 Market Consolidation - LAMEA On-Device AI Market
    • 16.8.8 Key Customer Criteria - LAMEA On-Device AI Market
    • 16.8.9 Product Life Cycle - LAMEA On-Device AI Market
    • 16.8.10 LAMEA On-Device AI Market by Component
      • 16.8.10.1 LAMEA Hardware Market by Country
      • 16.8.10.2 LAMEA Software Market by Country
    • 16.8.11 LAMEA On-Device AI Market by Technology
      • 16.8.11.1 LAMEA Machine Learning Market by Country
      • 16.8.11.2 LAMEA Computer Vision Market by Country
      • 16.8.11.3 LAMEA Natural Language Processing Market by Country
      • 16.8.11.4 LAMEA Speech Recognition Market by Country
    • 16.8.12 LAMEA On-Device AI Market by Deployment
      • 16.8.12.1 LAMEA On-premises Market by Country
      • 16.8.12.2 LAMEA Cloud Market by Country
    • 16.8.13 LAMEA On-Device AI Market by Device
      • 16.8.13.1 LAMEA Smartphones & Tablets Market by Country
      • 16.8.13.2 LAMEA Automotive Market by Country
      • 16.8.13.3 LAMEA Smart Home Devices Market by Country
      • 16.8.13.4 LAMEA Wearables Market by Country
      • 16.8.13.5 LAMEA Other Device Market by Country
    • 16.8.14 LAMEA On-Device AI Market by Vertical
      • 16.8.14.1 LAMEA Consumer Electronics Market by Country
      • 16.8.14.2 LAMEA Automotive Market by Country
      • 16.8.14.3 LAMEA Healthcare Market by Country
      • 16.8.14.4 LAMEA Security & Surveillance Market by Country
      • 16.8.14.5 LAMEA Manufacturing Market by Country
      • 16.8.14.6 LAMEA Retail Market by Country
      • 16.8.14.7 LAMEA Other Vertical Market by Country
    • 16.8.15 LAMEA On-Device AI Market by Country
      • 16.8.15.1 Brazil On-Device AI Market
        • 16.8.15.1.1 Brazil On-Device AI Market by Component
        • 16.8.15.1.2 Brazil On-Device AI Market by Technology
        • 16.8.15.1.3 Brazil On-Device AI Market by Deployment
        • 16.8.15.1.4 Brazil On-Device AI Market by Device
        • 16.8.15.1.5 Brazil On-Device AI Market by Vertical
      • 16.8.15.2 Argentina On-Device AI Market
        • 16.8.15.2.1 Argentina On-Device AI Market by Component
        • 16.8.15.2.2 Argentina On-Device AI Market by Technology
        • 16.8.15.2.3 Argentina On-Device AI Market by Deployment
        • 16.8.15.2.4 Argentina On-Device AI Market by Device
        • 16.8.15.2.5 Argentina On-Device AI Market by Vertical
      • 16.8.15.3 UAE On-Device AI Market
        • 16.8.15.3.1 UAE On-Device AI Market by Component
        • 16.8.15.3.2 UAE On-Device AI Market by Technology
        • 16.8.15.3.3 UAE On-Device AI Market by Deployment
        • 16.8.15.3.4 UAE On-Device AI Market by Device
        • 16.8.15.3.5 UAE On-Device AI Market by Vertical
      • 16.8.15.4 Saudi Arabia On-Device AI Market
        • 16.8.15.4.1 Saudi Arabia On-Device AI Market by Component
        • 16.8.15.4.2 Saudi Arabia On-Device AI Market by Technology
        • 16.8.15.4.3 Saudi Arabia On-Device AI Market by Deployment
        • 16.8.15.4.4 Saudi Arabia On-Device AI Market by Device
        • 16.8.15.4.5 Saudi Arabia On-Device AI Market by Vertical
      • 16.8.15.5 South Africa On-Device AI Market
        • 16.8.15.5.1 South Africa On-Device AI Market by Component
        • 16.8.15.5.2 South Africa On-Device AI Market by Technology
        • 16.8.15.5.3 South Africa On-Device AI Market by Deployment
        • 16.8.15.5.4 South Africa On-Device AI Market by Device
        • 16.8.15.5.5 South Africa On-Device AI Market by Vertical
      • 16.8.15.6 Nigeria On-Device AI Market
        • 16.8.15.6.1 Nigeria On-Device AI Market by Component
        • 16.8.15.6.2 Nigeria On-Device AI Market by Technology
        • 16.8.15.6.3 Nigeria On-Device AI Market by Deployment
        • 16.8.15.6.4 Nigeria On-Device AI Market by Device
        • 16.8.15.6.5 Nigeria On-Device AI Market by Vertical
      • 16.8.15.7 Rest of LAMEA On-Device AI Market
        • 16.8.15.7.1 Rest of LAMEA On-Device AI Market by Component
        • 16.8.15.7.2 Rest of LAMEA On-Device AI Market by Technology
        • 16.8.15.7.3 Rest of LAMEA On-Device AI Market by Deployment
        • 16.8.15.7.4 Rest of LAMEA On-Device AI Market by Device
        • 16.8.15.7.5 Rest of LAMEA On-Device AI Market by Vertical

Chapter 17. Company Profiles

  • 17.1 Google LLC
    • 17.1.1 Company Overview
    • 17.1.2 Financial Analysis
    • 17.1.3 Segmental and Regional Analysis
    • 17.1.4 Research & Development Expenses
    • 17.1.5 Recent strategies and developments:
      • 17.1.5.1 Partnerships, Collaborations, and Agreements:
    • 17.1.6 SWOT Analysis
  • 17.2 Apple, Inc.
    • 17.2.1 Company Overview
    • 17.2.2 Financial Analysis
    • 17.2.3 Regional Analysis
    • 17.2.4 Research & Development Expense
    • 17.2.5 Recent strategies and developments:
      • 17.2.5.1 Partnerships, Collaborations, and Agreements:
      • 17.2.5.2 Product Launches and Product Expansions:
    • 17.2.6 SWOT Analysis
  • 17.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 17.3.1 Company Overview
    • 17.3.2 Financial Analysis
    • 17.3.3 Segmental and Regional Analysis
    • 17.3.4 SWOT Analysis
  • 17.4 Microsoft Corporation
    • 17.4.1 Company Overview
    • 17.4.2 Financial Analysis
    • 17.4.3 Segmental and Regional Analysis
    • 17.4.4 Research & Development Expenses
    • 17.4.5 Recent strategies and developments:
      • 17.4.5.1 Partnerships, Collaborations, and Agreements:
    • 17.4.6 SWOT Analysis
  • 17.5 IBM Corporation
    • 17.5.1 Company Overview
    • 17.5.2 Financial Analysis
    • 17.5.3 Regional & Segmental Analysis
    • 17.5.4 Research & Development Expenses
    • 17.5.5 Recent strategies and developments:
      • 17.5.5.1 Partnerships, Collaborations, and Agreements:
    • 17.5.6 SWOT Analysis
  • 17.6 NVIDIA Corporation
    • 17.6.1 Company Overview
    • 17.6.2 Financial Analysis
    • 17.6.3 Segmental and Regional Analysis
    • 17.6.4 Research & Development Expenses
    • 17.6.5 SWOT Analysis
  • 17.7 Intel Corporation
    • 17.7.1 Company Overview
    • 17.7.2 Financial Analysis
    • 17.7.3 Segmental and Regional Analysis
    • 17.7.4 Research & Development Expenses
    • 17.7.5 Recent strategies and developments:
      • 17.7.5.1 Partnerships, Collaborations, and Agreements:
      • 17.7.5.2 Product Launches and Product Expansions:
    • 17.7.6 SWOT Analysis
  • 17.8 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
    • 17.8.1 Company Overview
    • 17.8.2 Financial Analysis
    • 17.8.3 Segmental and Regional Analysis
    • 17.8.4 Research & Development Expense
    • 17.8.5 Recent strategies and developments:
      • 17.8.5.1 Partnerships, Collaborations, and Agreements:
    • 17.8.6 SWOT Analysis
  • 17.9 Advanced Micro Devices, Inc.
    • 17.9.1 Company Overview
    • 17.9.2 Financial Analysis
    • 17.9.3 Segmental and Regional Analysis
    • 17.9.4 Research & Development Expenses
  • 17.10. Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
    • 17.10.1 Company Overview
    • 17.10.2 Financial Analysis
    • 17.10.3 Segmental and Regional Analysis
    • 17.10.4 Research & Development Expenses
    • 17.10.5 SWOT Analysis

Chapter 18. Winning Imperatives of On-device AI Market

샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제