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1772311

모바일 인공지능(AI) 시장 규모, 점유율, 동향 분석 리포트 : 기술 노드별, 애플리케이션별, 지역별, 부문별 예측(2025-2030년)

Mobile Artificial Intelligence Market Size, Share & Trends Analysis Report By Technology Node (7 nm, 10 nm, 20-28 nm), By Application (Smartphones, Cameras, Drones, Automobile, Robotics, AR/VR), By Region, And Segment Forecasts, 2025 - 2030

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 100 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

모바일 인공지능(AI) 시장의 성장과 동향 :

Grand View Research, Inc.의 최신 리포트에 따르면 세계의 모바일 인공지능(AI) 시장 규모는 2030년까지 849억 7,000만 달러에 달할 것으로 예측됩니다.

이 시장은 2025-2030년 연평균 복합 성장률(CAGR) 28.9%를 보일 것으로 예측됩니다. 최근 몇 가지 요인으로 인해 시장 성장이 두드러지고 있습니다. 시장을 촉진하는 주요 요인 중 하나는 모바일 기기의 처리 능력 향상입니다. 최신 스마트폰 및 태블릿은 AI 알고리즘과 모델을 효율적으로 실행할 수 있는 강력한 프로세서와 그래픽 처리 장비(GPU)를 탑재하고 있습니다.

모바일 인공지능(AI) 시장의 성장을 가속하는 또 다른 요인은 AI 툴와 프레임워크가 눈에 띄게 증가하고 있다는 점. TensorFlow, PyTorch, Keras 등 많은 인기 AI 프레임워크는 모바일 버전이 있으며, 개발자가 모바일 기기에서 AI 모델을 구축 및 배포할 수 있습니다. AI 모델을 구축하여 배포할 수 있습니다. 모바일 AI 용도는 헬스케어, 금융, 교육, 엔터테인먼트 분야에서 효율성, 정확성, 사용자 경험을 향상시키기 위해 사용되고 있습니다. 예를 들어 모바일 AI는 의료 이미지를 분석하고, 금융 거래의 부정행위를 감지하고, 개인화된 학습 경험을 제공합니다. 또한 새로운 데이터 수집도 시장 성장의 주요 요인으로 작용하고 있습니다. 모바일 기기는 이미지, 동영상, 텍스트 등 방대한 양의 데이터를 생성하여 AI 모델 학습에 활용할 수 있습니다. 사물인터넷(IoT)의 성장은 센서 및 연결된 장비와 같은 다양한 소스에서 데이터를 생성함으로써 데이터 가용성에 기여하고 있습니다.

전반적으로 AI 기술이 더욱 발전하고 접근성이 높아지고 모바일 기기가 더욱 강력하고 보편화됨에 따라 모바일 AI의 성장은 계속될 것으로 예측됩니다. 다양한 분야에서 활용될 수 있으므로 다양한 산업을 변화시키고 전 세계 사람들의 삶을 개선할 수 있는 잠재력을 가지고 있습니다. 모바일 AI 용도의 예로는 음성 인식, 이미지 및 영상 인식, 자연 언어 처리, 예측 분석 등이 있습니다.

최근 다양한 AI 기반 기술에 대한 투자가 증가하고 있습니다. 이 요소는 모바일 AI 세계 시장을 주도하고 있으며, AI 기능이 탑재된 프로세서에 대한 수요가 전 세계에서 증가하고 있는 것도 시장을 촉진하는 요인으로 작용하고 있습니다. 여러 국가의 정부는 스타트업 문화를 지원하기 위해 다양한 유리한 정책을 시행하고 있습니다. 이에 따라 국제 시장에서 모바일 AI에 대한 수요가 증가하고 있습니다. 스마트폰, 카메라, 드론, AR/VR, 자동차, 로봇 등은 이 시장의 아이템이 사용되는 중요한 산업 중 일부입니다. 한정된 AI 전문가와 고가의 AI 프로세서가 산업 확장을 제한하는 두 가지 요인입니다. 반면, IoT의 엣지 컴퓨팅, 모바일 기기의 저비용 비전 용도, 카메라용 AI 칩에 대한 수요는 증가할 것으로 예측됩니다.

모바일 인공지능(AI) 시장 보고서 하이라이트

  • 10nm 기술 노드 부문이 2024년 세계 매출의 42% 이상을 차지하며 시장을 주도했습니다. 이러한 성장은 스마트폰 시장의 괄목할 만한 성장과 디지털화에 기인합니다.
  • 모바일 기기의 처리 능력이 향상되고 엣지 컴퓨팅이 등장하면서 AI 모델을 클라우드가 아닌 기기 자체에 배치할 수 있게 되었습니다. 이를 엣지 컴퓨팅이라고 하며, 보다 빠르고 효율적인 데이터 처리를 가능하게 합니다.
  • 증강현실(AR)의 괄목할 만한 성장과 현실 세계에 디지털 정보를 중첩하는 것이 시장 성장에 박차를 가하고 있습니다. 모바일 AI는 사물을 인식하고 이에 대한 정보를 실시간으로 제공할 수 있는 AR 애플리케이션 개발에 활용되고 있습니다.
  • 2024년 아시아태평양이 36% 이상의 매출 점유율로 가장 큰 비중을 차지했습니다. 이 지역에서는 모바일 AI에 대한 대규모 투자가 이루어지고 있기 때문입니다.

목차

제1장 조사 방법과 범위

제2장 개요

제3장 모바일 인공지능(AI) 시장 변수, 동향, 범위

  • 시장 서론/계통 전망
  • 시장 규모와 성장 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계의 기회
    • 업계의 과제
  • 모바일 인공지능(AI) 시장 분석 툴
    • Porter의 산업 분석
    • PESTEL 분석

제4장 모바일 인공지능(AI) 시장 : 기술 노드별 추정·동향 분석

  • 부문 대시보드
  • 모바일 인공지능(AI) 시장 : 기술 노드별 변동 분석, 2023년·2030년
  • 7nm
  • 10nm
  • 20-28nm
  • 기타

제5장 모바일 인공지능(AI) 시장 : 애플리케이션별 추정·동향 분석

  • 부문 대시보드
  • 모바일 인공지능(AI) 시장 : 애플리케이션별 변동 분석, 2023년·2030년
  • 스마트폰
  • 카메라
  • 드론
  • 자동차
  • 로봇
  • AR/VR
  • 기타

제6장 모바일 인공지능(AI) 시장 : 지역별 추정·동향 분석

  • 모바일 인공지능(AI) 시장 점유율, 지역별, 2023년·2030년
  • 북미
    • 기술 노드별, 2017-2030년
    • 애플리케이션별, 2017-2030년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 기술 노드별, 2017-2030년
    • 애플리케이션별, 2017-2030년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 기술 노드별, 2017-2030년
    • 애플리케이션별, 2017-2030년
    • 중국
    • 일본
    • 인도
    • 호주
    • 한국
  • 라틴아메리카
    • 기술 노드별, 2017-2030년
    • 애플리케이션별, 2017-2030년
    • 브라질
  • 중동 및 아프리카
    • 기술 노드별, 2017-2030년
    • 애플리케이션별, 2017-2030년
    • 아랍에미리트
    • 남아프리카공화국
    • 사우디아라비아

제7장 경쟁 구도

  • 주요 시장 참여 기업에 의한 최근 동향과 영향 분석
  • 기업 분류
  • 기업의 시장 포지셔닝
  • 기업의 시장 점유율 분석
  • 기업 히트맵 분석
  • 전략 지도제작
    • 확대
    • 합병과 인수
    • 파트너십과 협업
    • 새로운 기술 노드 시작
    • 연구개발
  • 기업 개요
    • Qualcomm Inc
    • Nvidia Corporation
    • Intel Corporation
    • IBM Corporation
    • Microsoft
    • Apple Inc
    • Huawei(Hisilicon)
    • Google LLC
    • Mediatek
    • Samsung
    • Cerebras Systems
    • Graphcore
    • Cambricon Technology
    • Shanghai Thinkforce Electronic Technology Co., Ltd(Thinkforce)
    • Deephi Tech
    • Sambanova Systems
    • Rockchip(Fuzhou Rockchip Electronics Co., Ltd.)
    • Thinci
    • Kneron
KSA 25.07.24

Mobile Artificial Intelligence Market Growth & Trends:

The global mobile artificial intelligence market size is anticipated to reach USD 84.97 billion by 2030, according to a new report by Grand View Research, Inc. The market is projected to grow at a CAGR of 28.9% from 2025 to 2030. The market growth has been significant in recent years due to several factors. One of the major drivers augmenting the market is the increasing processing power of mobile devices. Modern smartphones and tablets have powerful processors and graphics processing units (GPUs) that can efficiently run AI algorithms and models.

Another factor fueling the market growth of mobile artificial intelligence (AI) is the prominent availability of AI tools and frameworks. Many popular AI frameworks, such as TensorFlow, PyTorch, and Keras, have mobile versions that allow developers to build and deploy AI models on mobile devices. Mobile AI applications are used in healthcare, finance, education, and entertainment to improve efficiency, accuracy, and user experience. For instance, mobile AI analyzes medical images, detects fraud in financial transactions, and provides personalized learning experiences. Moreover, emerging data collection is also a significant factor in market growth. Mobile devices generate vast amounts of data, such as images, videos, and text, which can be used to train AI models. The growth of the Internet of Things (IoT) contributes to data availability by generating data from various sources, such as sensors and connected devices.

Overall, the growth of mobile AI is expected to continue as AI technology becomes more advanced and accessible and as mobile devices become more powerful and ubiquitous. It has the potential to transform various industries and improve the lives of people around the world, as its applications can be used in various domains. Some examples of mobile AI applications include speech recognition, image and video recognition, natural language processing, and predictive analytics.

Investments in various AI-based technologies have increased recently. This element is driving the global market for mobile AI. The rise in demand for processors with AI capabilities on a worldwide scale is another factor driving the market. Several nations' governments are implementing various advantageous policies to support the start-up culture. This reason is increasing the need for mobile AI in the international market. Smartphones, Cameras, drones, AR/VR, automobiles, and robots are a few of the significant industries in which items from the market is used. Limited AI Experts and Expensive AI Processors are the two factors limiting industry expansion. In contrast, the potential includes prominent demand for Edge Computing in IoT and Low-Cost vision applications in mobile devices and AI chips for cameras.

Mobile Artificial Intelligence Market Report Highlights:

  • The 10 nm technology node segment led the market in 2024, accounting for over 42% share of the global revenue. The growth is attributed to the prominent growth of smartphones and digitalization in the market.
  • The emergence of edge computing with increasing processing power of mobile devices, AI models can now be deployed on the device itself, rather than in the cloud. This is known as edge computing and allows for faster and more efficient processing of data.
  • The prominent growth of Augmented reality (AR) and the overlay of digital information on the real world is fueling the market growth. Mobile AI is being used to develop AR applications that can recognize objects and provide information about them in real-time.
  • Asia Pacific had the largest revenue share of over 36% in 2024. Due to major investment in mobile AI in the region.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Mobile Artificial Intelligence (AI) Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Size and Growth Prospects (USD Million)
  • 3.3. Industry Value Chain Analysis
  • 3.4. Market Dynamics
    • 3.4.1. Market Drivers Analysis
    • 3.4.2. Market Restraints Analysis
    • 3.4.3. Industry Opportunities
    • 3.4.4. Industry Challenges
  • 3.5. Mobile Artificial Intelligence (AI) Market Analysis Tools
    • 3.5.1. Porter's Analysis
      • 3.5.1.1. Bargaining power of the suppliers
      • 3.5.1.2. Bargaining power of the buyers
      • 3.5.1.3. Threats of substitution
      • 3.5.1.4. Threats from new entrants
      • 3.5.1.5. Competitive rivalry
    • 3.5.2. PESTEL Analysis
      • 3.5.2.1. Political landscape
      • 3.5.2.2. Economic and Social landscape
      • 3.5.2.3. Technological landscape
      • 3.5.2.4. Environmental landscape
      • 3.5.2.5. Legal landscape

Chapter 4. Mobile Artificial Intelligence (AI) Market: Technology Node Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Mobile Artificial Intelligence (AI) Market: Technology Node Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. 7 nm
    • 4.3.1. 7 nm Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. 10 nm
    • 4.4.1. 10 nm Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.5. 20-28 nm
    • 4.5.1. 20-28 nm Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.6. Others
    • 4.6.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Mobile Artificial Intelligence (AI) Market: Application Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Mobile Artificial Intelligence (AI) Market: Application Movement Analysis, 2023 & 2030 (USD Million)
  • 5.3. Smartphones
    • 5.3.1. Smartphones Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Cameras
    • 5.4.1. Cameras Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.5. Drones
    • 5.5.1. Drones Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.6. Automobile
    • 5.6.1. Automobile Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.7. Robotics
    • 5.7.1. Robotics Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.8. AR/VR
    • 5.8.1. AR/VR Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.9. Others
    • 5.9.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Mobile Artificial Intelligence (AI) Market: Regional Estimates & Trend Analysis

  • 6.1. Mobile Artificial Intelligence (AI) Market Share, by Region, 2023 & 2030 (USD Million)
  • 6.2. North America
    • 6.2.1. North America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 6.2.2. North America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
    • 6.2.3. North America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.2.4. U.S.
      • 6.2.4.1. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.2.4.2. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.2.4.3. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.2.5. Canada
      • 6.2.5.1. Canada Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.2.5.2. Canada Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.2.5.3. Canada Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.2.6. Mexico
      • 6.2.6.1. Mexico Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.2.6.2. Mexico Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.2.6.3. Mexico Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
  • 6.3. Europe
    • 6.3.1. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 6.3.2. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
    • 6.3.3. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.3.4. UK
      • 6.3.4.1. UK Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.3.4.2. UK Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.3.4.3. UK Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.3.5. Germany
      • 6.3.5.1. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.3.5.2. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.3.5.3. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.3.6. France
      • 6.3.6.1. France Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.3.6.2. France Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.3.6.3. France Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
  • 6.4. Asia Pacific
    • 6.4.1. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 6.4.2. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
    • 6.4.3. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.4.4. China
      • 6.4.4.1. China Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.4.4.2. China Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.4.4.3. China Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.4.5. Japan
      • 6.4.5.1. Japan Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.4.5.2. Japan Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.4.5.3. Japan Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.4.6. India
      • 6.4.6.1. India Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.4.6.2. India Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.4.6.3. India Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.4.7. Australia
      • 6.4.7.1. Australia Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.4.7.2. Australia Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.4.7.3. Australia Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.4.8. South Korea
      • 6.4.8.1. South Korea Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.4.8.2. South Korea Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.4.8.3. South Korea Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
  • 6.5. Latin America
    • 6.5.1. Latin America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 6.5.2. Latin America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
    • 6.5.3. Latin America Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.5.4. Brazil
      • 6.5.4.1. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.5.4.2. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.5.4.3. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
  • 6.6. Middle East and Africa
    • 6.6.1. Middle East and Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 6.6.2. Middle East and Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
    • 6.6.3. Middle East and Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.6.4. UAE
      • 6.6.4.1. UAE Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.6.4.2. UAE Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.6.4.3. UAE Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.6.5. South Africa
      • 6.6.5.1. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.6.5.2. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.6.5.3. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)
    • 6.6.6. KSA
      • 6.6.6.1. KSA Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 6.6.6.2. KSA Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Technology Node, 2017 - 2030 (USD Million)
      • 6.6.6.3. KSA Mobile Artificial Intelligence (AI) Market Estimates and Forecasts, by Application, 2017 - 2030 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Recent Developments & Impact Analysis by Key Market Participants
  • 7.2. Company Categorization
  • 7.3. Company Market Positioning
  • 7.4. Company Market Share Analysis
  • 7.5. Company Heat Map Analysis
  • 7.6. Strategy Mapping
    • 7.6.1. Expansion
    • 7.6.2. Mergers & Acquisition
    • 7.6.3. Partnerships & Collaborations
    • 7.6.4. New Technology Node Launches
    • 7.6.5. Research and Development
  • 7.7. Company Profiles
    • 7.7.1. Qualcomm Inc
      • 7.7.1.1. Participant's Overview
      • 7.7.1.2. Financial Performance
      • 7.7.1.3. Technology Node Benchmarking
      • 7.7.1.4. Recent Developments
    • 7.7.2. Nvidia Corporation
      • 7.7.2.1. Participant's Overview
      • 7.7.2.2. Financial Performance
      • 7.7.2.3. Technology Node Benchmarking
      • 7.7.2.4. Recent Developments
    • 7.7.3. Intel Corporation
      • 7.7.3.1. Participant's Overview
      • 7.7.3.2. Financial Performance
      • 7.7.3.3. Technology Node Benchmarking
      • 7.7.3.4. Recent Developments
    • 7.7.4. IBM Corporation
      • 7.7.4.1. Participant's Overview
      • 7.7.4.2. Financial Performance
      • 7.7.4.3. Technology Node Benchmarking
      • 7.7.4.4. Recent Developments
    • 7.7.5. Microsoft
      • 7.7.5.1. Participant's Overview
      • 7.7.5.2. Financial Performance
      • 7.7.5.3. Technology Node Benchmarking
      • 7.7.5.4. Recent Developments
    • 7.7.6. Apple Inc
      • 7.7.6.1. Participant's Overview
      • 7.7.6.2. Financial Performance
      • 7.7.6.3. Technology Node Benchmarking
      • 7.7.6.4. Recent Developments
    • 7.7.7. Huawei (Hisilicon)
      • 7.7.7.1. Participant's Overview
      • 7.7.7.2. Financial Performance
      • 7.7.7.3. Technology Node Benchmarking
      • 7.7.7.4. Recent Developments
    • 7.7.8. Google LLC
      • 7.7.8.1. Participant's Overview
      • 7.7.8.2. Financial Performance
      • 7.7.8.3. Technology Node Benchmarking
      • 7.7.8.4. Recent Developments
    • 7.7.9. Mediatek
      • 7.7.9.1. Participant's Overview
      • 7.7.9.2. Financial Performance
      • 7.7.9.3. Technology Node Benchmarking
      • 7.7.9.4. Recent Developments
    • 7.7.10. Samsung
      • 7.7.10.1. Participant's Overview
      • 7.7.10.2. Financial Performance
      • 7.7.10.3. Technology Node Benchmarking
      • 7.7.10.4. Recent Developments
    • 7.7.11. Cerebras Systems
      • 7.7.11.1. Participant's Overview
      • 7.7.11.2. Financial Performance
      • 7.7.11.3. Technology Node Benchmarking
      • 7.7.11.4. Recent Developments
    • 7.7.12. Graphcore
      • 7.7.12.1. Participant's Overview
      • 7.7.12.2. Financial Performance
      • 7.7.12.3. Technology Node Benchmarking
      • 7.7.12.4. Recent Developments
    • 7.7.13. Cambricon Technology
      • 7.7.13.1. Participant's Overview
      • 7.7.13.2. Financial Performance
      • 7.7.13.3. Technology Node Benchmarking
      • 7.7.13.4. Recent Developments
    • 7.7.14. Shanghai Thinkforce Electronic Technology Co., Ltd (Thinkforce)
      • 7.7.14.1. Participant's Overview
      • 7.7.14.2. Financial Performance
      • 7.7.14.3. Technology Node Benchmarking
      • 7.7.14.4. Recent Developments
    • 7.7.15. Deephi Tech
      • 7.7.15.1. Participant's Overview
      • 7.7.15.2. Financial Performance
      • 7.7.15.3. Technology Node Benchmarking
      • 7.7.15.4. Recent Developments
    • 7.7.16. Sambanova Systems
      • 7.7.16.1. Participant's Overview
      • 7.7.16.2. Financial Performance
      • 7.7.16.3. Technology Node Benchmarking
      • 7.7.16.4. Recent Developments
    • 7.7.17. Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
      • 7.7.17.1. Participant's Overview
      • 7.7.17.2. Financial Performance
      • 7.7.17.3. Technology Node Benchmarking
      • 7.7.17.4. Recent Developments
    • 7.7.18. Thinci
      • 7.7.18.1. Participant's Overview
      • 7.7.18.2. Financial Performance
      • 7.7.18.3. Technology Node Benchmarking
      • 7.7.18.4. Recent Developments
    • 7.7.19. Kneron
      • 7.7.19.1. Participant's Overview
      • 7.7.19.2. Financial Performance
      • 7.7.19.3. Technology Node Benchmarking
      • 7.7.19.4. Recent Developments
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