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GPUaaS（GPU As A Service）の市場規模、シェア、動向分析レポート：コンポーネント別、価格モデル別、組織規模別、業界別、地域別、セグメント予測、2024年～2030年

GPU As A Service Market Size, Share & Trends Analysis Report By Component, By Pricing Model, By Organization Size, By Industry Vertical, By Region, and Segment Forecasts, 2024 - 2030
出版日: | 発行: Grand View Research | ページ情報: 英文 100 Pages | 納期: 2～10営業日

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GPUaaS（GPU As A Service）の市場規模、シェア、動向分析レポート：コンポーネント別、価格モデル別、組織規模別、業界別、地域別、セグメント予測、2024年～2030年
出版日: 2024年07月24日
発行: Grand View Research
ページ情報: 英文 100 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

GPUaaS（GPU As A Service）市場の成長と動向：

Grand View Research, Inc.の最新レポートによると、世界のGPUaaS（GPU As A Service）市場規模は2030年までに122億6,000万米ドルに達する見込みです。

同市場は2024年から2030年にかけてCAGR 21.6％で拡大すると予測されています。人工知能（AI）と機械学習（ML）アプリケーションは、様々な産業でますます普及しています。これらのアプリケーションは、多くの場合、グラフィックス・プロセッシング・ユニット（GPU）が提供するのに適した大きな計算能力を必要とします。GPUaaS（GPU As A Service）はスケーラビリティを提供し、ユーザーが特定の要件に基づいて計算リソースを調整できるようにします。AIやML技術を採用する企業や研究者が増えるにつれ、GPUaaSの需要もそれに伴って高まっています。

クラウド・コンピューティングの人気の高まりは、GPUaaSの提供拡大を促進しています。クラウドサービスプロバイダーは、ディープラーニング、データ分析、レンダリングなどのタスクに強力なコンピューティングリソースを必要とする顧客に対応するため、GPUインスタンスを提供しています。これにより、高価なハードウェアに投資する手段を持たない幅広いユーザーがGPUにアクセスしやすくなった。例えば、Amazon Web Services（AWS）は世界のクラウドサービスプロバイダーであり、Amazon Elastic Compute Cloud（Amazon EC2）サービスの下でさまざまなGPUインスタンスを提供しています。AWSは、さまざまな計算ワークロードに対応するために、さまざまなGPUインスタンス・タイプを提供しています。

GPUaaSは、組織や個人が特定のニーズに基づいて計算リソースを調整することを可能にし、GPUパワーの要件が異なる人々にとって魅力的な選択肢となります。プロジェクトやワークロードの需要に基づいてGPUリソースを拡張できるこの柔軟性は、GPUパワーのニーズが多様な組織にとって非常に魅力的です。例えば、Google Cloud Platform（GCP）は、強力なNVIDIA A100 Tensor Core GPUを含む多くのGPUインスタンスを提供するクラウドサービスプロバイダです。これらのGPUはNVIDIA Ampereアーキテクチャに基づいて構築されており、AI、ML、高性能コンピューティングのワークロード向けに大幅な性能向上を実現しています。

2023年の同市場で最大の収益を上げたのは北米です。北米の企業はデジタルトランスフォーメーション戦略を積極的に推進しており、GPU as a Serviceはこのプロセスの重要な要素となっています。北米市場は大きく成長しており、クラウドコンピューティングと人工知能（AI）のエコシステム全体で重要な位置を占めています。GPUaaSに対する需要の高まりは、主にAI、機械学習（ML）、データ分析、その他のGPU集約型タスクが多様な業界で広く採用されていることが背景にあります。予測期間中、アジア太平洋地域が最も急成長する市場となる見込みです。アジア太平洋地域は、新興技術の導入が早いことで知られています。中国、インド、日本、韓国、オーストラリア、シンガポールなどの国々が、アジア太平洋地域におけるGPUaaS導入の最前線にいます。

GPUaaS（GPU As A Service）市場レポートハイライト

  • 2023年の収益シェアは25.3%で、ゲーム分野が市場を独占。ゲーム分野は、オンラインゲーム、eスポーツ、仮想現実（VR）ゲームの人気上昇に後押しされ、近年目覚ましい拡大を見せています。
  • 北米地域は、2023年の収益シェア33.6%で世界市場を独占しました。Amazon Web Services（AWS）、Microsoft Azure、Google Cloud Platform（GCP）などの主要クラウドサービスプロバイダーが北米でGPUaaSの提供を拡大しています。
  • 企業はデータ分析やハイパフォーマンス・コンピューティングへの依存度を高めており、多くの場合、強力なGPUを必要とします。GPUaaSは、そのような計算能力にオンデマンドでアクセスする効率的な方法を提供しました。
  • 研究者や研究機関は、さまざまな科学シミュレーション、データ分析、計算タスクの計算需要を満たすためにGPU as a Serviceを活用してきました。GPUは並列計算の実行効率が非常に高いため、研究や科学分野で一般的に見られる複雑で計算集約的なワークロードの高速化に適しています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 GPUaaS（GPU As A Service）市場の変数、動向、範囲

  • 市場系統の見通し
  • 市場力学
    • 市場 促進要因分析
    • 市場抑制要因分析
    • 業界の課題
  • GPUaaS（GPU As A Service）市場分析ツール
    • 業界分析- ポーターのファイブフォース分析
    • PESTEL分析
  • 問題点分析

第4章 GPUaaS（GPU As A Service）市場：コンポーネント別推定・動向分析

  • セグメントダッシュボード
  • GPUaaS（GPU As A Service）市場：コンポーネント別変動分析、2023年と2030年
  • ソリューション
  • サービス

第5章 GPUaaS（GPU As A Service）市場：価格モデル別推定・動向分析

  • セグメントダッシュボード
  • GPUaaS（GPU As A Service）市場：価格モデル別変動分析、2023年および2030年
  • 従量課金制
  • サブスクリプションベースのプラン

第6章 GPUaaS（GPU As A Service）市場：組織規模別推定・動向分析

  • セグメントダッシュボード
  • GPUaaS（GPU As A Service）市場：組織規模別変動分析、2023年および2030年
  • 大規模組織
  • 中小規模の組織

第7章 GPUaaS（GPU As A Service）市場：業界別推定・動向分析

  • セグメントダッシュボード
  • GPUaaS（GPU As A Service）市場：業界別変動分析、2023年および2030年
  • BFSI
  • メディアとエンターテイメント
  • ITおよび通信
  • ヘルスケア
  • ゲーム
  • 自動車産業
  • その他

第8章 GPUaaS（GPU As A Service）市場：地域別推定・動向分析

  • GPUaaS（GPU As A Service）市場シェア、地域別、2023年および2030年
  • 北米
    • 北米のGPUaaS（GPU As A Service）市場推計・予測、2017年-2030年
    • 米国
    • カナダ
  • 欧州
    • 欧州のGPUaaS（GPU As A Service）市場推計・予測、2017年-2030年
    • 英国
    • ドイツ
    • フランス
  • アジア太平洋
    • アジア太平洋地域のGPUaaS（GPU As A Service）市場推計・予測、2017年-2030年
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
  • ラテンアメリカ
    • ラテンアメリカGPUaaS（GPU As A Service）市場推計・予測、2017年-2030年
    • ブラジル
    • メキシコ
  • 中東およびアフリカ
    • 中東およびアフリカのGPUaaS（GPU As A Service）市場推計・予測、2017年-2030年
    • サウジアラビア
    • アラブ首長国連邦
    • 南アフリカ

第9章 競合情勢

  • 企業分類
  • 企業の市場ポジショニング
  • 参入企業の概要
  • 財務実績
  • 製品ベンチマーク
  • 企業ヒートマップ分析
  • 戦略マッピング
  • 企業プロファイル/上場企業
    • Amazon Web Services（AWS）
    • Arm Holding PLC
    • Fujitsu Ltd
    • HCL Technologies
    • IBM Corporation
    • Intel Corporation
    • Microsoft Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • Qualcomm Technologies, Inc.
図表

List of Tables

  • Table 1 Global GPU as a Service market by Component, 2017 - 2030 (USD Million)
  • Table 2 Global GPU as a Service market by Pricing Model, 2017 - 2030 (USD Million)
  • Table 3 Global GPU as a Service market by Organization Size, 2017 - 2030 (USD Million)
  • Table 4 Global GPU as a Service market by Industry Vertical, 2017 - 2030 (USD Million)
  • Table 5 Global GPU as a Service market by Region, 2017 - 2030 (USD Million)
  • Table 6 Key companies launching new products/services
  • Table 7 Key companies engaged in mergers & acquisition
  • Table 8 Key companies engaged in Research & development
  • Table 9 Key Companies engaged in expansion

List of Figures

  • Fig. 1 GPU as a Service Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Market formulation & validation
  • Fig. 7 GPU as a Service market snapshot
  • Fig. 8 GPU as a Service market segment snapshot
  • Fig. 9 GPU as a Service market competitive landscape snapshot
  • Fig. 10 Market research process
  • Fig. 11 Market driver relevance analysis (Current & future impact)
  • Fig. 12 Market restraint relevance analysis (Current & future impact)
  • Fig. 13 GPU as a Service Market, Component outlook key takeaways (USD Million)
  • Fig. 14 GPU as a Service Market: Component movement analysis 2023 & 2030 (USD Million) Solution market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 15 Services market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 16 GPU as a Service Market: Pricing Model outlook key takeaways (USD Million)
  • Fig. 17 GPU as a Service Market: Pricing Model movement analysis 2023 & 2030 (USD Million)
  • Fig. 18 Pay-per-use market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 Subscription-based plans market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 GPU as a Service Market: Organization Size outlook key takeaways (USD Million)
  • Fig. 21 GPU as a Service Market: Organization Size movement analysis 2023 & 2030 (USD Million)
  • Fig. 22 Large Size Organization market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 23 Small & Medium Size Organizations market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 24 GPU as a Service Market: Industry Vertical outlook key takeaways (USD Million)
  • Fig. 25 GPU as a Service Market: Industry Vertical movement analysis 2023 & 2030 (USD Million)
  • Fig. 26 BFSI market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 27 Media and Entertainment market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 28 IT & Telecommunication market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 Healthcare market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Gaming market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 Automotive market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Others market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 33 Regional marketplace: Key takeaways
  • Fig. 34 GPU as a Service Market: Regional outlook, 2023 & 2030, USD Million
  • Fig. 35 North America GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 36 U.S. GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 Canada GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 38 Europe GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 UK GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 40 Germany GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 France GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 42 Asia Pacific GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Japan GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 44 China GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 India GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 46 South Korea GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 Australia GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 48 Latin America GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 Brazil GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 50 Mexico GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 51 MEA GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 52 Saudi Arabia GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 53 UAE GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 54 South Africa GPU as a Service market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 55 Strategy framework
  • Fig. 56 Company Categorization
目次
Product Code: GVR-4-68040-110-2

GPU As A Service Market Growth & Trends:

The global GPU as a service market size is expected to reach USD 12.26 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 21.6% from 2024 to 2030. Artificial Intelligence (AI) and Machine Learning (ML) applications have become increasingly prevalent across various industries. These applications often require substantial computational power, which graphics processing units (GPUs) are well-suited to provide. GPU as a service (GPUaaS) provides scalability, allowing users to adjust their computational resources based on their specific requirements. As more businesses and researchers adopt AI and ML technologies, the demand for GPUaaS has risen accordingly.

The growing popularity of cloud computing has facilitated the expansion of GPUaaS offerings. Cloud service providers offer GPU instances to cater to customers who need powerful computing resources for tasks like deep learning, data analysis, rendering, and more. This has made GPUs more accessible to a broader range of users who may not have the means to invest in expensive hardware. For instance, Amazon Web Services (AWS) is a cloud service provider globally, and it offers a variety of GPU instances under its Amazon Elastic Compute Cloud (Amazon EC2) service. AWS provides different GPU instance types to cater to various computational workloads.

GPUaaS allows organizations and individuals to adjust their computational resources based on their specific needs, making it an appealing choice for those with varying GPU power requirements. The ability to scale GPU resources based on project and workload demands makes this flexibility highly appealing to organizations with varying GPU power needs. For instance, Google Cloud Platform (GCP) is a cloud service provider offering many GPU instances, including the potent NVIDIA A100 Tensor Core GPUs. These GPUs, built on the NVIDIA Ampere architecture, deliver substantial performance improvements for AI, ML, and high-performance computing workloads.

North America generated the largest revenue for the market in 2023. Businesses in North America are actively pursuing digital transformation strategies, and GPU as a Service is a crucial component of this process. The North America market has grown substantially and is important in the overall cloud computing and artificial intelligence (AI) ecosystem. The rising demand for GPUaaS is primarily fueled by the widespread adoption of AI, machine learning (ML), data analytics, and other GPU-intensive tasks across diverse industries. The Asia Pacific region is expected to be the fastest-growing market during the forecast period. The Asia-Pacific region is known for its rapid adoption of emerging technologies. Countries like China, India, Japan, South Korea, Australia, and Singapore have been at the forefront of GPUaaS adoption in the Asia-Pacific region.

GPU As A Service Market Report Highlights:

  • The gaming segment dominated the market with a revenue share of 25.3% in 2023. The gaming sector has seen a remarkable expansion in recent years, fueled by the rising popularity of online gaming, eSports, and virtual reality (VR) gaming.
  • The North America region dominated the global market with a revenue share of 33.6% in 2023. Major cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) have expanded their GPUaaS offerings in North America.
  • Businesses increasingly relied on data analytics and high-performance computing, which often require powerful GPUs. GPUaaS provided an efficient way to access such computational power on demand.
  • Researchers and institutions have been leveraging GPU as a Service to meet the computational demands of various scientific simulations, data analysis, and computational tasks. GPUs are highly efficient in performing parallel computations, making them well-suited for accelerating complex and computationally intensive workloads commonly found in research and scientific domains.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. Market Formulation & Validation
  • 1.7. Country Based Segment Share Calculation
  • 1.8. List of Data Sources

Chapter 2. Executive Summary

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

Chapter 3. GPU as a Service Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. GPU as a Service Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape
  • 3.4. Pain Point Analysis

Chapter 4. GPU as a Service Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. GPU as a Service Market: Component Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. Solution
    • 4.3.1. Solution Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Services
    • 4.4.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. GPU as a Service Market: Pricing Model Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. GPU as a Service Market: Pricing Model Movement Analysis, 2023 & 2030 (USD Million)
  • 5.3. Pay-per-use
    • 5.3.1. Pay-per-use Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Subscription-based plans
    • 5.4.1. Subscription-based plans Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. GPU as a Service Market: Organization Size Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. GPU as a Service Market: Organization Size Movement Analysis, 2023 & 2030 (USD Million)
  • 6.3. Large Size Organization
    • 6.3.1. Large Size Organization Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Small & Medium Size Organizations
    • 6.4.1. Small & Medium Size Organizations Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. GPU as a Service Market: Industry Vertical Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. GPU as a Service Market: Industry Vertical Movement Analysis, 2023 & 2030 (USD Million)
  • 7.3. BFSI
    • 7.3.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.4. Media and Entertainment
    • 7.4.1. Media and Entertainment Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.5. IT & Telecommunication
    • 7.5.1. IT & Telecommunication Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.6. Healthcare
    • 7.6.1. Healthcare Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.7. Gaming
    • 7.7.1. Gaming Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.8. Automotive Industry
    • 7.8.1. Automotive Industry Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.9. Others
    • 7.9.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. GPU as a Service Market: Regional Estimates & Trend Analysis

  • 8.1. GPU as a Service Market Share, By Region, 2023 & 2030 (USD Million)
  • 8.2. North America
    • 8.2.1. North America GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Canada GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. UK
      • 8.3.2.1. UK GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.3. Germany
      • 8.3.3.1. Germany GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.4. France
      • 8.3.4.1. France GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. China GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Japan GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. India GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.5. South Korea
      • 8.4.5.1. South Korea GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.6. Australia
      • 8.4.6.1. Australia GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.3. Mexico
      • 8.5.3.1. Mexico GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.6.1.1. (USD Million)
    • 8.6.2. KSA
      • 8.6.2.1. KSA GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.3. UAE
      • 8.6.3.1. UAE GPU as a Service Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa GPU as a Service Market Estimates and Forecasts, 2017 - 2030

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Participant's Overview
  • 9.4. Financial Performance
  • 9.5. Product Benchmarking
  • 9.6. Company Heat Map Analysis
  • 9.7. Strategy Mapping
  • 9.8. Company Profiles/Listing
    • 9.8.1. Amazon Web Services (AWS)
    • 9.8.2. Arm Holding PLC
    • 9.8.3. Fujitsu Ltd
    • 9.8.4. HCL Technologies
    • 9.8.5. IBM Corporation
    • 9.8.6. Intel Corporation
    • 9.8.7. Microsoft Corporation
    • 9.8.8. NVIDIA Corporation
    • 9.8.9. Oracle Corporation
    • 9.8.10. Qualcomm Technologies, Inc.