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한글목차
온 디바이스 인텔리전스 시장 규모는 향후 수년간 비약적인 성장이 전망됩니다. 2029년에는 CAGR 20.1%로 성장할 전망이며, 1,251억 7,000만 달러로 성장이 예측됩니다. 예측 기간 동안의 성장은 자율주행차의 대두, 스마트 디바이스 및 사물인터넷(IoT) 채용 확대, 맞춤형 콘텍스트에 따른 체험에 대한 수요 증대, 정부의 대처 및 지원, 스마트홈의 채용 확대 등에 기인할 것으로 보입니다. 이 기간 주요 동향에는 기술 발전, 진행 중인 연구개발, 안면인식 및 증강현실 등 AI 탑재 기능에 대한 수요 증대, 인공지능에 대한 투자 증가, 센싱과 지각 기술의 진보 등이 있습니다.
사물인터넷(IoT) 디바이스 채용 증가는 온 디바이스 인텔리전스 시장의 성장을 가속할 것으로 예측됩니다. IoT 기기는 센서, 소프트웨어, 연결 기능을 갖춘 물리적인 물체로 인터넷을 통해 데이터를 수집, 전송, 교환할 수 있습니다. IoT 디바이스의 보급은 연결성의 향상, 센서 비용의 저하, 자동화와 실시간 데이터 파악을 위한 산업 횡단적인 사용에 의해 촉진되고 있습니다. 온 디바이스 인텔리전스는 실시간 데이터 처리를 가능하게 하고 대기 시간을 단축하며 보안을 향상시키고 클라우드 연결에 대한 의존을 최소화함으로써 이러한 디바이스를 강화하고 보다 신속하고 효율적인 의사 결정을 가능하게 합니다. 예를 들어 2022년 1월 영국 비영리 산업단체인 GSM협회는 전 세계 IoT 연결이 2021년 151억에서 2025년 233억으로 증가할 것으로 예측했습니다. 그 결과 IoT 기기의 채용 확대가 온 디바이스 인텔리전스 시장의 성장을 계속 뒷받침하고 있습니다.
온 디바이스 인텔리전스 시장의 주요 기업은 실시간 처리 강화, 사용자 개인화 향상, 데이터 보안 강화, 클라우드 컴퓨팅 의존도 감소를 목적으로 GenAI 기능 등 혁신 기술 개발에 주력 힘을 쏟고 있습니다. GenAI 기능은 엄청난 데이터 세트에서 학습 한 패턴을 기반으로 텍스트, 이미지, 음성 및 코드와 같은 인간과 같은 컨텐츠를 기계에서 생성할 수 있게 합니다. 2024년 9월, 미국 기술 기업인 Apple은 Arm V9 아키텍처에 의한 새로운 A18 Bionic 칩을 탑재한 iPhone 16 시리즈를 발표했습니다. 이 칩은 보다 세련된, 보다 고속으로 전력 효율이 높은 AI 주도의 기능을 실현함으로써 온 디바이스 인텔리전스를 강화합니다. 이 칩은 첨단 AI 기능군인 Apple Intelligence를 지원하며, 메일, 메모, Pages 등의 앱 전체에서 텍스트 재작성, 교정, 콘텐츠 요약, 전화 및 메모 앱에서의 음성 쓰기 및 요약 등의 도구를 제공함으로써 사용자 경험을 향상시킵니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향 및 전략
제4장 시장-거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나 바이러스 감염의 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석 및 전략 분석 프레임워크
세계의 온 디바이스 인텔리전스 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인 및 억제요인)
최종 이용 산업의 분석
세계의 온 디바이스 인텔리전스 시장 : 성장률 분석
세계의 온 디바이스 인텔리전스 시장 실적 : 규모 및 성장(2019-2024년)
세계의 온 디바이스 인텔리전스 시장 예측 : 규모 및 성장(2024-2029년, 2034년)
세계의 온 디바이스 인텔리전스 전체 시장 규모(TAM)
제6장 시장 세분화
세계의 온 디바이스 인텔리전스 시장 : 기술별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
머신러닝
사물의 인터넷
기타
세계의 온 디바이스 인텔리전스 시장 : 용도별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
스마트폰 및 태블릿
웨어러블
퍼스널 컴퓨터(PC) 및 노트북
기타
세계의 온 디바이스 인텔리전스 시장 : 최종 사용자별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
소비자
헬스케어
소매업 및 전자상거래
산업부문
기타
세계의 온 디바이스 인텔리전스 시장 : 머신러닝별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
지도 학습
비지도 학습
강화 학습
세계의 온 디바이스 인텔리전스 시장 : 사물의 인터넷별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
스마트 홈
산업 IoT
자동차 IoT
헬스케어 IoT
세계의 온 디바이스 인텔리전스 시장 : 기타 기술별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
엣지 컴퓨팅
자연언어처리(NLP)
컴퓨터 비전
제7장 지역별 및 국가별 분석
세계의 온 디바이스 인텔리전스 시장 : 지역별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
세계의 온 디바이스 인텔리전스 시장 : 국가별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도 및 기업 프로파일
온 디바이스 인텔리전스 시장 : 경쟁 구도
온 디바이스 인텔리전스 시장 : 기업 프로파일
Amazon.com Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Apple Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Google LLC : 개요, 제품 및 서비스, 전략 및 재무 분석
Samsung Electronics Co. Ltd. : 개요, 제품 및 서비스, 전략 및 재무 분석
Microsoft Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Sony Corporation
Huawei Technologies Co. Ltd.
Intel Corporation
International Business Machines Corporation
Qualcomm Incorporated
Broadcom Inc.
Micron Technology Inc.
NVIDIA Corporation
Texas Instruments Incorporated
MediaTek Inc.
Rockwell Automation Inc.
Xilinx Inc.
ARM Holdings plc
Cypress Semiconductor Corporation
Robert Bosch GmbH
제32장 세계 시장 경쟁 벤치마킹 및 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문 및 전략
온 디바이스 인텔리전스 시장(2029년) : 새로운 기회를 제공하는 국가
온 디바이스 인텔리전스 시장(2029년) : 새로운 기회를 제공하는 부문
온 디바이스 인텔리전스 시장(2029년) : 성장 전략
시장 동향에 의한 전략
경쟁 전략
제36장 부록
AJY
영문 목차
영문목차
On-device intelligence refers to a device's ability to process and analyze data locally using built-in AI and machine learning models, eliminating the need for cloud computing. This approach enhances privacy, speed, and efficiency by minimizing data transmission to external servers. It enables real-time functionalities such as language translation, facial recognition, predictive text, and personalized recommendations while ensuring user data security.
The key technologies powering on-device intelligence include machine learning, the Internet of Things (IoT), and others. Machine learning is a branch of artificial intelligence (AI) that allows computers to learn from data and improve task performance without explicit programming. On-device intelligence is applied in various devices, including smartphones and tablets, wearables, personal computers (PCs) and laptops, among others. It serves multiple end users, including consumers, healthcare, retail and e-commerce, the industrial sector, and more.
The on-device intelligence market research report is one of a series of new reports from The Business Research Company that provides on-device intelligence market statistics, including the on-device intelligence industry global market size, regional shares, competitors with the on-device intelligence market share, detailed on-device intelligence market segments, market trends, and opportunities, and any further data you may need to thrive in the on-device intelligence industry. These on-device intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The on device intelligence market size has grown exponentially in recent years. It will grow from $49.96 billion in 2024 to $60.14 billion in 2025 at a compound annual growth rate (CAGR) of 20.4%. The growth during the historic period can be attributed to the rising adoption of smartphones and tablets, the increasing demand for AI-powered features, cost reduction through on-device intelligence, expanding internet penetration, and the growing need for real-time data processing.
The on device intelligence market size is expected to see exponential growth in the next few years. It will grow to $125.17 billion in 2029 at a compound annual growth rate (CAGR) of 20.1%. The growth during the forecast period can be attributed to the rise of self-driving vehicles, the increasing adoption of smart devices and the Internet of Things (IoT), the growing demand for personalized and contextual experiences, government initiatives and support, and the expanding adoption of smart homes. Key trends in this period include technological advancements, ongoing research and development, the rising demand for AI-powered features such as facial recognition and augmented reality, growing investments in artificial intelligence, and advancements in sensing and perception technologies.
The increasing adoption of Internet of Things (IoT) devices is expected to drive the growth of the on-device intelligence market. IoT devices are physical objects equipped with sensors, software, and connectivity features that allow them to collect, transmit, and exchange data over the internet. Their growing adoption is fueled by advancements in connectivity, declining sensor costs, and widespread use across industries for automation and real-time data insights. On-device intelligence enhances these devices by enabling real-time data processing, reducing latency, improving security, and minimizing reliance on cloud connectivity for faster and more efficient decision-making. For instance, in January 2022, the GSM Association, a UK-based non-profit industry organization, projected that global IoT connections would increase from 15.1 billion in 2021 to 23.3 billion by 2025. As a result, the expanding adoption of IoT devices continues to support the growth of the on-device intelligence market.
Leading companies in the on-device intelligence market are focusing on developing innovative technologies, such as GenAI features, to enhance real-time processing, improve user personalization, strengthen data security, and reduce dependence on cloud computing. GenAI features enable machines to generate human-like content, including text, images, audio, and code, based on learned patterns from vast datasets. In September 2024, Apple Inc., a US-based technology company, introduced the iPhone 16 series, powered by the new A18 Bionic chip based on the Arm V9 architecture. This chip enhances on-device intelligence by enabling more sophisticated, faster, and power-efficient AI-driven features. It supports Apple Intelligence, a suite of advanced AI functionalities that improve the user experience by offering tools such as text rewriting, proofreading, content summarization across apps such as Mail, Notes, and Pages, as well as audio transcription and summarization in the Phone and Notes apps.
In April 2024, Apple Inc. acquired Datakalab for an undisclosed amount. This acquisition is aimed at enhancing Apple's on-device AI capabilities, improving real-time processing efficiency, and strengthening privacy-focused AI solutions. By integrating Datakalab's low-power deep learning algorithms, Apple seeks to optimize AI performance within its ecosystem. Datakalab, a France-based company, specializes in developing efficient AI algorithms designed for on-device processing.
Major players in the on-device intelligence market are Amazon.com Inc., Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Sony Corporation, Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation, Qualcomm Incorporated, Broadcom Inc., Micron Technology Inc., NVIDIA Corporation, Texas Instruments Incorporated, MediaTek Inc., Rockwell Automation Inc., Xilinx Inc., ARM Holdings plc, Cypress Semiconductor Corporation, Robert Bosch GmbH, Vuzix Corporation.
North America was the largest region in the on device intelligence market in 2024. The regions covered in on-device intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the on-device intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The on-device intelligence market consists of revenues earned by entities providing services such as speech recognition, image and video recognition, natural language processing (NLP), and predictive analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The on-device intelligence market also includes sales of smart home devices, autonomous vehicles and drones, edge computing devices, and biometric devices. 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 Intelligence Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on on-device intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for on-device intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The on-device intelligence market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Technology: Machine Learning; Internet Of Things; Other Technologies
2) By Application: Smartphones And Tablets; Wearables; Personal Computers (PCs) And Laptops; Other Applications
3) By End-User: Consumers; Healthcare; Retail and E-commerce; Industrial Sector; Other End-Users
Subsegments:
1) By Machine Learning: Supervised Learning; Unsupervised Learning; Reinforcement Learning
2) By Internet of Things: Smart Home; Industrial IoT; Automotive IoT; Healthcare IoT
3) By Other Technologies: Edge Computing; Natural Language Processing (NLP); Computer Vision
Companies Mentioned: Amazon.com Inc.; Apple Inc.; Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. On-Device Intelligence Market Characteristics
3. On-Device Intelligence Market Trends And Strategies
4. On-Device Intelligence Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market
5. Global On-Device Intelligence Growth Analysis And Strategic Analysis Framework
5.1. Global On-Device Intelligence PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global On-Device Intelligence Market Growth Rate Analysis
5.4. Global On-Device Intelligence Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global On-Device Intelligence Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global On-Device Intelligence Total Addressable Market (TAM)
6. On-Device Intelligence Market Segmentation
6.1. Global On-Device Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Machine Learning
Internet Of Things
Other Technologies
6.2. Global On-Device Intelligence Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Smartphones And Tablets
Wearables
Personal Computers (PCs) And Laptops
Other Applications
6.3. Global On-Device Intelligence Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consumers
Healthcare
Retail and E-commerce
Industrial Sector
Other End-Users
6.4. Global On-Device Intelligence Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Supervised Learning
Unsupervised Learning
Reinforcement Learning
6.5. Global On-Device Intelligence Market, Sub-Segmentation Of Internet of Things, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Smart Home
Industrial IoT
Automotive IoT
Healthcare IoT
6.6. Global On-Device Intelligence Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Edge Computing
Natural Language Processing (NLP)
Computer Vision
7. On-Device Intelligence Market Regional And Country Analysis
7.1. Global On-Device Intelligence Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global On-Device Intelligence Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
