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エッジAIハードウェアの世界市場：コンポーネント・デバイス・消費電力・プロセス・産業・地域別 (～2030年)

Global Edge AI Hardware Market Research Report By Component, By Device, By Power Consumption, By Process, By Vertical and By Region -Forecast Till 2030

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英文 109 Pages
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エッジAIハードウェアの世界市場：コンポーネント・デバイス・消費電力・プロセス・産業・地域別 (～2030年)
出版日: 2024年05月07日
発行: Market Research Future
ページ情報: 英文 109 Pages
納期: 即納可能 即納可能とは
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  • 概要
  • 図表
  • 目次
概要

エッジAIハードウェアの市場規模は、2024年の32億7,501万米ドルから、予測期間中は21.92%のCAGRで推移し、2032年には159億8,785万米ドルの規模に成長すると予測されています。

エッジAIと呼ばれるアルゴリズムは、ハードウェアプラットフォーム上でローカルにデータを処理することができます。この機能により、デバイスは接続を必要とすることなく、自身でデータを処理し、意思決定を行うことができます。AIアクセラレーターは、Edgeデバイスのデータ集約的なディープラーニング推論の能力を向上させるEdge AI専用のハードウェアであり、さまざまな計算集約的なジョブに有効な選択肢となります。リアルタイムの深層学習ワークロードに対する需要が高まる中、デバイス上で高速な深層学習を可能にする特化型エッジAIハードウェアは、ますます重要性を増しています。

エッジAIハードウェアの市場は、5Gと6Gネットワークが統合された結果、大きく発展すると予想されています。5Gネットワークの導入より、リアルタイムの低遅延エッジAIアプリケーションのシームレスな展開が可能になり、AI対応インテリジェントエッジデバイスの能力が向上しました。また、これらのネットワークは超高速接続と高帯域幅を提供します。5Gネットワークが拡大し続けるにつれて、デバイスの密度が高い環境で複雑な活動や自律的な意思決定が可能なこれらのデバイスは急増が予測されています。

さらに、2030年以降に開発されると予想され、より高い周波数帯域を使用する6Gネットワークの開発により、さらなる高速化、利用可能容量の拡大、ネットワークの信頼性向上が約束されます。これらの要素は、大規模なエッジAIアプリケーションに不可欠です。このような最先端のネットワークとアプリケーションをサポートする強力で効果的なハードウェアソリューションの必要性が高まっているため、エッジAIハードウェア市場の成長には有利な環境となっています。

地域の展望：

エッジAIハードウェア市場をもっとも牽引しているのは北米と考えられています。市場における競争力を維持するため、常にM&A、製品投入、提携などの戦略的展開を優先する大企業の存在が、同地域の市場シェアに影響を与えています。

エッジAIハードウェアが世界でもっとも急成長している市場の1つがアジア太平洋地域です。同地域における5Gの展開とIoT統合デバイスの増加により、エッジAIハードウェア市場の成長チャートでアジア太平洋地域はトップに立つと予想されています。中国、日本、インド、韓国ではスマートフォンを所有する人が増えており、AIハードウェアの市場導入が進むと予想されます。この地域の2大市場は中国と日本です。AI技術に多額の投資を行っている自動車、エレクトロニクス、半導体業界の大手サプライヤーが複数存在することが、同地域のエッジAIハードウェア市場の成長に拍車をかけています。中国のエッジAI産業では、エッジコンピューティングとハードウェアソリューションに関する発明が過去1年間で飛躍的に増加しており、これは特許の発行数からも明らかで、同国の急速な産業革新を浮き彫りにしています。

当レポートでは、世界のエッジAIハードウェアの市場を調査し、市場の定義と概要、市場成長への影響因子および市場機会の分析、市場規模の推移・予測、各種区分・地域/主要国別の内訳、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 エグゼクティブサマリー

第2章 市場概要

第3章 調査手法

第4章 市場力学

  • 概要
  • 促進要因
    • AIの活用の拡大
    • エッジAIが提供するさまざまな利点
  • 抑制要因
    • エッジデバイスの計算能力とメモリの限界
    • 多様なエッジAIハードウェアコンポーネントの統合の複雑さ
  • 機会
    • 安価なAIハードウェアとコスト効率の高い接続性の提供
    • 5Gと6Gネットワークの統合
  • 課題
  • COVID-19の影響分析

第5章 市場要因分析

  • サプライチェーン分析
  • ポーターのファイブフォース分析
  • SWOT分析
  • PESTAL分析
  • エッジAIの実装事例

第6章 世界のエッジAIハードウェア市場：コンポーネント別

  • 概要
  • CPU
  • GPU
  • ASIC
  • FGPA

第7章 世界のエッジAIハードウェア市場：デバイス別

  • 概要
  • スマートフォン
  • カメラ
  • ロボット
  • 自動車
  • スマートスピーカー
  • ウェアラブル
  • スマートミラー
  • その他

第8章 世界のエッジAIハードウェア市場：消費電力別

  • 概要
  • 0-5W
  • 6-10W
  • 10W超

第9章 世界のエッジAIハードウェア市場：プロセス別

  • 概要
  • トレーニング
  • 推論

第10章 世界のエッジAIハードウェア市場：産業別

  • 概要
  • CE製品
  • スマートホーム
  • 自動車・輸送
  • ヘルスケア
  • 航空宇宙・防衛
  • 政府
  • 建設
  • その他

第11章 世界のエッジAIハードウェア市場：地域別

  • 概要
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第12章 競合情勢

  • 競合ベンチマーキング
  • ベンダーシェア分析
  • 最近の動向

第13章 企業プロファイル

  • INTEL CORPORATION
  • ARM LIMITED
  • HUAWEI TECHNOLOGIES CO. LTD.
  • MICROSOFT
  • SAMSUNG ELECTRONICS CO., LTD.
  • GOOGLE INC.（ALPHABET INC.）
  • NVIDIA CORPORATION
  • QUALCOMM
  • MEDIATEK INC.
  • XILINX INC.
  • APPLE INC.
  • DELL TECHNOLOGIES INC.
  • MICRON TECHNOLOGY
  • IMAGINATION TECHNOLOGIES LIMITED
  • HAILO
図表

LIST OF TABLES

  • TABLE 1 PRODUCT DEVELOPMENT
  • TABLE 2 PARTNERSHIP
  • TABLE 3 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 4 INTEL CORPORATION: KEY DEVELOPMENTS
  • TABLE 5 ARM LIMITED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 6 ARM LIMITED: KEY DEVELOPMENTS
  • TABLE 7 HUAWEI TECHNOLOGIES CO. LTD.: PRODUCT/SOLUTION/SERVICE OFFERED
  • TABLE 8 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 9 MICROSOFT: KEY DEVELOPMENTS
  • TABLE 10 SAMSUNG ELECTRONICS CO., LTD.: PRODUCTS OFFERED
  • TABLE 11 SAMSUNG ELECTRONICS CO., LTD.: KEY DEVELOPMENTS
  • TABLE 12 GOOGLE INC (ALPHABET INC.): PRODUCTS OFFERED
  • TABLE 13 GOOGLE INC (ALPHABET INC.): KEY DEVELOPMENTS
  • TABLE 14 NVIDIA CORPORATION: PRODUCTS OFFERED
  • TABLE 15 NVIDIA CORPORATION: KEY DEVELOPMENTS
  • TABLE 16 QUALCOMM: PRODUCTS OFFERED
  • TABLE 17 QUALCOMM: KEY DEVELOPMENTS
  • TABLE 18 MEDIATEK INC.: PRODUCTS OFFERED
  • TABLE 19 MEDIATEK INC.: KEY DEVELOPMENTS
  • TABLE 20 XILINX INC.: PRODUCTS OFFERED
  • TABLE 21 XILINX INC.: KEY DEVELOPMENTS
  • TABLE 22 APPLE INC.: PRODUCTS OFFERED
  • TABLE 23 APPLE INC.: KEY DEVELOPMENTS
  • TABLE 24 DELL TECHNOLOGIES INC.: PRODUCTS OFFERED
  • TABLE 25 MICRON TECHNOLOGY: PRODUCTS OFFERED
  • TABLE 26 MICRON TECHNOLOGY: KEY DEVELOPMENTS
  • TABLE 27 IMAGINATION TECHNOLOGIES LIMITED: PRODUCTS OFFERED
  • TABLE 28 IMAGINATION TECHNOLOGIES LIMITED: KEY DEVELOPMENTS
  • TABLE 29 HAILO: PRODUCTS OFFERED
  • TABLE 30 HAILO: KEY DEVELOPMENTS

LIST OF FIGURES

  • FIGURE 1 MARKET SYNOPSIS
  • FIGURE 2 MARKET ATTRACTIVENESS ANALYSIS: GLOBAL EDGE AI HARDWARE MARKET
  • FIGURE 3 GLOBAL EDGE AI HARDWARE MARKET: STRUCTURE
  • FIGURE 4 BOTTOM-UP AND TOP-DOWN APPROACHES
  • FIGURE 5 MARKET DYNAMICS: GLOBAL EDGE AI HARDWARE MARKET
  • FIGURE 6 ADVANATAGES OF EDGE AI
  • FIGURE 7 DRIVERS: IMPACT ANALYSIS
  • FIGURE 8 RESTRAINT: IMPACT ANALYSIS
  • FIGURE 9 GLOBAL E- HOUSE MARKET: VALUE CHAIN
  • FIGURE 10 PORTER'S FIVE FORCES ANALYSIS OF GLOBAL EDGE AI HARDWARE MARKET
  • FIGURE 11 GLOBAL EDGE AI HARDWARE MARKET - SWOT ANALYSIS
  • FIGURE 12 GLOBAL EDGE AI HARDWARE MARKET: COMPETITIVE BENCHMARKING
  • FIGURE 13 VENDOR SHARE ANALYSIS (2022, %)
  • FIGURE 14 INTEL CORPORATION: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 15 INTEL CORPORATION: SWOT ANALYSIS
  • FIGURE 16 ARM LIMITED (PART OF SOFTBANK GROUP): FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 17 ARM LIMITED: SWOT ANALYSIS
  • FIGURE 18 HUAWEI TECHNOLOGIES CO. LTD.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 19 HUAWEI TECHNOLOGIES CO. LTD.: SWOT ANALYSIS
  • FIGURE 20 MICROSOFT: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 21 MICROSOFT: SWOT ANALYSIS
  • FIGURE 22 SAMSUNG ELECTRONICS CO., LTD.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 23 SAMSUNG ELECTRONICS CO., LTD.: SWOT ANALYSIS
  • FIGURE 24 GOOGLE INC (ALPHABET INC.): FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 25 GOOGLE INC (ALPHABET INC.): SWOT ANALYSIS
  • FIGURE 26 NVIDIA CORPORATION: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 27 NVIDIA CORPORATION: SWOT ANALYSIS
  • FIGURE 28 QUALCOMM: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 29 QUALCOMM: SWOT ANALYSIS
  • FIGURE 30 MEDIATEK INC.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 31 MEDIATEK INC.: SWOT ANALYSIS
  • FIGURE 32 XILINX INC.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 33 XILINX INC.: SWOT ANALYSIS
  • FIGURE 34 APPLE INC.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 35 APPLE INC.: SWOT ANALYSIS
  • FIGURE 36 DELL TECHNOLOGIES INC.: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 37 DELL TECHNOLOGIES INC.: SWOT ANALYSIS
  • FIGURE 38 MICRON TECHNOLOGY: FINANCIAL OVERVIEW SNAPSHOT
  • FIGURE 39 MICRON TECHNOLOGY: SWOT ANALYSIS
  • FIGURE 40 IMAGINATION TECHNOLOGIES LIMITED: SWOT ANALYSIS
  • FIGURE 41 HAILO: SWOT ANALYSIS
目次
Product Code: MRFR/SEM/6365-CR

Global Edge AI Hardware Market Research Report By Component (CPU, GPU, ASIC, and FPGA.), By Device (Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, and Others), By Power Consumption (into 0-5 W, 6-10 W, and More Than 10 W), By Process (Training and Inference), By Vertical (Consumer Electronics, Smart Home, Automotive & Transportation, Healthcare, Aerospace & Defense, Government, Construction) and By Region (North America, Europe, Asia-Pacific, Middle East and Africa, South America) -Forecast Till 2030

Market Synopsis

According to projections, the Edge AI Hardware market would expand at a compound annual growth rate (CAGR) of 21.92% from USD 3275.01 million in 2024 to USD 15987.85 million by 2032. An algorithm called Edge AI is capable of locally processing data on a hardware platform. With this feature, a device may process data and make decisions on its own without requiring a connection. AI accelerators are specialized Edge AI hardware that improves Edge devices' ability to do data-intensive deep learning inference, making them a viable choice for various compute-intensive jobs. With the increasing demand for real-time deep learning workloads, specialized Edge AI hardware that enables fast deep learning on the device has become increasingly crucial.

The market for edge AI hardware is expected to develop significantly as a result of the 5G and 6G networks being integrated. The introduction of 5G networks has allowed for the seamless deployment of real-time, low-latency Edge AI applications, hence increasing the capabilities of AI-enabled intelligent edge devices. These networks also offer ultra-fast connectivity and high bandwidth. The market can anticipate a proliferation of these devices capable of complicated activities and autonomous decision-making in surroundings with a high density of devices as 5G networks continue to expand.

Furthermore, even faster speeds, more available capacity, and improved network dependability are promised by the development of 6G networks, which are expected to be developed after 2030 and use higher frequency bands. These factors are essential for Edge AI applications on a big scale. Because of the increasing need for strong and effective hardware solutions to support these cutting-edge networks and applications, this presents a favorable environment for the growth of the Edge AI hardware market.

insights on market segments

The Edge AI Hardware Market is divided into four segments based on component: CPU, GPU, ASIC, and FPGA.

The Edge AI Hardware Market is divided into categories based on devices, including wearables, smart mirrors, smartphones, cameras, robots, cars, and others.

The Edge AI Hardware Market is divided into three segments based on power consumption: 0-5 W, 6-10 W, and More.

The consumer electronics, smart home, automotive & transportation, healthcare, aerospace & defense, government, construction, and other segments make up the Edge AI Hardware Market, according to Vertical.

Localized Perspectives

The market for Edge AI Hardware is probably most driven by North America. The US, Canada, and Mexico are included in this. The presence of large corporations that constantly prioritize strategic development-mergers, acquisitions, product launches, partnerships-in order to maintain their competitiveness in the market has an impact on the regional market share. For instance, in September 2021, Synaptics Inc. and Edge Impulse forged a partnership. With this cooperation, thousands of embedded developers will have access to Synaptics' KatanaUltra Low-Power Edge AI Platform and the Edge Impulse software development platform, enabling them to create, train, and implement custom models for a variety of AI applications.Developers may create models that are ready for production more quickly and efficiently with the help of the Edge Impulse Embedded ML Platform. Additionally, it simplifies model training, testing, and optimization in the context of comprehensive MLOps.

One of the world's fastest-growing markets for Edge AI hardware is Asia Pacific. The Asia Pacific region is expected to soar to the top of the Edge AI Hardware Market growth chart due to the deployment of 5G in the area and the increase in IoT-integrated devices. The increasing number of people in China, Japan, India, and South Korea who own smartphones is expected to increase the market adoption of AI hardware. The two largest markets in the area are China and Japan. The presence of multiple large suppliers in the automotive, electronics, and semiconductor industries that are making significant investments in AI technology is fueling the growth of the edge AI hardware market in the region. China's edge AI industry has seen tremendous increase in invention over the past year for edge computing and hardware solutions, as evidenced by the number of patents issued, highlighting the nation's rapid industrial innovation.

Principal Players

The leading players in the market are NVIDIA Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc., Micron Technology, Apple Inc., Qualcomm Incorporated, Huawei Technologies Co., Ltd., Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., and IBM Corporation.

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

  • 1.1 MARKET ATTRACTIVENESS ANALYSIS

2 MARKET INTRODUCTION

  • 2.1 DEFINITION
  • 2.2 SCOPE OF THE STUDY
  • 2.3 RESEARCH OBJECTIVE
  • 2.4 MARKET STRUCTURE

3 RESEARCH METHODOLOGY

4 MARKET DYNAMICS

  • 4.1 OVERVIEW
  • 4.2 DRIVERS
    • 4.2.1 GROWTH IN THE UTILIZATION OF ARTIFICIAL INTELLIGENCE (AI)
    • 4.2.2 GROWING ADOPTION OF EDGE AI DUE TO VARIOUS ADVANTAGE OFFERED BY EDGE AI
  • 4.3 RESTRAINTS
    • 4.3.1 LIMITED COMPUTATIONAL POWER AND MEMORY IN EDGE DEVICES
    • 4.3.2 COMPLEXITY IN INTEGRATING DIVERSE EDGE AI HARDWARE COMPONENTS
  • 4.4 OPPORTUNITIES
    • 4.4.1 AVAILABILITY OF CHEAP AI HARDWARE AND COST-EFFECTIVE CONNECTIVITY
    • 4.4.2 5G AND 6G NETWORKS INTEGRATION
  • 4.5 CHALLENGES:
  • 4.6 IMPACT ANALYSIS OF COVID-19
    • 4.6.1 IMPACT ON SEMICONDUCTOR MANUFACTURERS
    • 4.6.2 IMPACT ON COMPONENT MANUFACTURERS
    • 4.6.3 IMPACT ON DEVICE MANUFACTURERS
    • 4.6.4 IMPACT ON SUPPLY CHAIN DELAY

5 MARKET FACTOR ANALYSIS

  • 5.1 SUPPLY CHAIN ANALYSIS
    • 5.1.1 RAW MATERIAL SUPPLIERS:
    • 5.1.2 COMPONENT MANUFACTURING:
    • 5.1.3 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS):
    • 5.1.4 SOFTWARE PROVIDERS:
    • 5.1.5 END USERS:
  • 5.2 PORTER'S FIVE FORCES MODEL
    • 5.2.1 THREAT OF NEW ENTRANTS
    • 5.2.2 BARGAINING POWER OF SUPPLIERS
    • 5.2.3 THREAT OF SUBSTITUTES
    • 5.2.4 BARGAINING POWER OF BUYERS
    • 5.2.5 INTENSITY OF RIVALRY
  • 5.3 SWOT ANALYSIS OF E- HOUSE MARKET
  • 5.4 PESTAL ANALYSIS OF E- HOUSE MARKET
  • 5.5 CASE STUDIES DEMONSTRATING IMPLEMAENTATION OF EDGE AI IN VARIOUS FIELDS

6 GLOBAL EDGE AI HARDWARE MARKET, BY COMPONENT

  • 6.1 OVERVIEW
  • 6.2 CPU
  • 6.3 GPU
  • 6.4 ASIC
  • 6.5 FGPA

7 GLOBAL EDGE AI HARDWARE MARKET, BY DEVICE

  • 7.1 OVERVIEW
  • 7.2 SMARTPHONE
  • 7.3 CAMERA
  • 7.4 ROBOT
  • 7.5 AUTOMOBILE
  • 7.6 SMART SPEAKER
  • 7.7 WEARABLES
  • 7.8 SMART MIRROR
  • 7.9 OTHERS

8 GLOBAL EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION

  • 8.1 OVERVIEW
  • 8.2 0-5W
  • 8.3 6-10W
  • 8.4 MORE THAN 10W

9 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESS

  • 9.1 OVERVIEW
  • 9.2 TRAINING
  • 9.3 INFERENCE

10 GLOBAL EDGE AI HARDWARE MARKET, BY VERTICAL

  • 10.1 OVERVIEW
  • 10.2 CONSUMER ELECTRONICS
  • 10.3 SMART HOME
  • 10.4 AUTOMOTIVE & TRANSPORTATION
  • 10.5 HEALTHCARE
  • 10.6 AEROSPACE & DEFENSE
  • 10.7 GOVERNMENT
  • 10.8 CONSTRUCTION
  • 10.9 OTHERS

11 GLOBAL EDGE AI HARDWARE MARKET, BY REGION

  • 11.1 OVERVIEW
  • 11.2 NORTH AMERICA
  • 11.3 EUROPE
  • 11.4 ASIA-PACIFIC
  • 11.5 REST OF THE WORLD

12 COMPETITIVE LANDSCAPE

  • 12.1 COMPETITIVE BENCHMARKING
  • 12.2 VENDOR SHARE ANALYSIS
  • 12.3 RECENT DEVELOPMENTS
    • 12.3.1 PRODUCT DEVELOPMENT

13 COMPANY PROFILE

  • 13.1 INTEL CORPORATION
    • 13.1.1 COMPANY OVERVIEW
    • 13.1.2 FINANCIAL OVERVIEW
    • 13.1.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.1.4 KEY DEVELOPMENTS
    • 13.1.5 SWOT ANALYSIS
    • 13.1.6 KEY STRATEGIES
  • 13.2 ARM LIMITED
    • 13.2.1 COMPANY OVERVIEW
    • 13.2.2 FINANCIAL OVERVIEW
    • 13.2.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.2.4 KEY DEVELOPMENTS
    • 13.2.5 SWOT ANALYSIS
    • 13.2.6 KEY STRATEGIES
  • 13.3 HUAWEI TECHNOLOGIES CO. LTD.
    • 13.3.1 COMPANY OVERVIEW
    • 13.3.2 FINANCIAL OVERVIEW
    • 13.3.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.3.4 KEY DEVELOPMENTS
    • 13.3.5 SWOT ANALYSIS
    • 13.3.6 KEY STRATEGIES
  • 13.4 MICROSOFT
    • 13.4.1 COMPANY OVERVIEW
    • 13.4.2 FINANCIAL OVERVIEW
    • 13.4.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.4.4 KEY DEVELOPMENTS
    • 13.4.5 SWOT ANALYSIS
    • 13.4.6 KEY STRATEGIES
  • 13.5 SAMSUNG ELECTRONICS CO., LTD.
    • 13.5.1 COMPANY OVERVIEW
    • 13.5.2 FINANCIAL OVERVIEW
    • 13.5.3 PRODUCTS OFFERED
    • 13.5.4 KEY DEVELOPMENTS
    • 13.5.5 SWOT ANALYSIS
    • 13.5.6 KEY STRATEGIES
  • 13.6 GOOGLE INC. (ALPHABET INC.)
    • 13.6.1 COMPANY OVERVIEW
    • 13.6.2 FINANCIAL OVERVIEW
    • 13.6.3 PRODUCTS OFFERED
    • 13.6.4 KEY DEVELOPMENTS
    • 13.6.5 SWOT ANALYSIS
    • 13.6.6 KEY STRATEGIES
  • 13.7 NVIDIA CORPORATION
    • 13.7.1 COMPANY OVERVIEW
    • 13.7.2 FINANCIAL OVERVIEW
    • 13.7.3 PRODUCTS OFFERED
    • 13.7.4 KEY DEVELOPMENTS
    • 13.7.5 SWOT ANALYSIS
    • 13.7.6 KEY STRATEGIES
  • 13.8 QUALCOMM
    • 13.8.1 COMPANY OVERVIEW
    • 13.8.2 FINANCIAL OVERVIEW
    • 13.8.3 PRODUCTS OFFERED
    • 13.8.4 KEY DEVELOPMENTS
    • 13.8.5 SWOT ANALYSIS
    • 13.8.6 KEY STRATEGIES
  • 13.9 MEDIATEK INC.
    • 13.9.1 COMPANY OVERVIEW
    • 13.9.2 FINANCIAL OVERVIEW
    • 13.9.3 PRODUCTS OFFERED
    • 13.9.4 KEY DEVELOPMENTS
    • 13.9.5 SWOT ANALYSIS
    • 13.9.6 KEY STRATEGIES
  • 13.10 XILINX INC.
    • 13.10.1 COMPANY OVERVIEW
    • 13.10.2 FINANCIAL OVERVIEW
    • 13.10.3 PRODUCTS OFFERED
    • 13.10.4 KEY DEVELOPMENTS
    • 13.10.5 SWOT ANALYSIS
    • 13.10.6 KEY STRATEGIES
  • 13.11 APPLE INC.
    • 13.11.1 COMPANY OVERVIEW
    • 13.11.2 FINANCIAL OVERVIEW
    • 13.11.3 PRODUCTS OFFERED
    • 13.11.4 KEY DEVELOPMENTS
    • 13.11.5 SWOT ANALYSIS
    • 13.11.6 KEY STRATEGIES
  • 13.12 DELL TECHNOLOGIES INC.
    • 13.12.1 COMPANY OVERVIEW
    • 13.12.2 FINANCIAL OVERVIEW
    • 13.12.3 PRODUCTS OFFERED
    • 13.12.4 KEY DEVELOPMENTS
    • 13.12.5 SWOT ANALYSIS
    • 13.12.6 KEY STRATEGIES
  • 13.13 MICRON TECHNOLOGY
    • 13.13.1 COMPANY OVERVIEW
    • 13.13.2 FINANCIAL OVERVIEW
    • 13.13.3 PRODUCTS OFFERED
    • 13.13.4 KEY DEVELOPMENTS
    • 13.13.5 SWOT ANALYSIS
    • 13.13.6 KEY STRATEGIES
  • 13.14 IMAGINATION TECHNOLOGIES LIMITED
    • 13.14.1 COMPANY OVERVIEW
    • 13.14.2 PRODUCTS OFFERED
    • 13.14.3 KEY DEVELOPMENTS
    • 13.14.4 SWOT ANALYSIS
    • 13.14.5 KEY STRATEGIES
  • 13.15 HAILO
    • 13.15.1 COMPANY OVERVIEW
    • 13.15.2 PRODUCTS OFFERED
    • 13.15.3 KEY DEVELOPMENTS
    • 13.15.4 SWOT ANALYSIS
    • 13.15.5 KEY STRATEGIES