デフォルト表紙
市場調査レポート
商品コード
1306261

ディープラーニングチップセット市場:タイプ別、エンドユーザー別-2023-2030年の世界予測

Deep Learning Chipset Market by Type, End-User - Cumulative Impact of COVID-19, Russia Ukraine Conflict, and High Inflation - Global Forecast 2023-2030

出版日: | 発行: 360iResearch | ページ情報: 英文 185 Pages | 納期: 即日から翌営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報(例:国別セグメント)の追加などの対応が可能です。  詳細はお問い合わせください。

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=151.16円
ディープラーニングチップセット市場:タイプ別、エンドユーザー別-2023-2030年の世界予測
出版日: 2023年06月12日
発行: 360iResearch
ページ情報: 英文 185 Pages
納期: 即日から翌営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 図表
  • 目次
概要

ディープラーニングチップセットの世界市場は、2023年に102億3,085万米ドル、CAGR15.67%で大きく成長し、2030年には283億9,236万米ドルに達すると予測されています。

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは世界のディープラーニングチップセット市場を評価するために不可欠です。事業戦略と製品満足度の主要指標を調査することで、ベンダーの包括的な評価を提供し、ユーザーは特定のニーズに基づいた情報をもとに意思決定を行うことができます。この高度な分析により、ベンダーは成功の度合いが異なる4つの象限に整理されます:フォアフロント(F)、パスファインダー(P)、ニッチ(N)、バイタル(V)です。

市場シェア分析

市場シェア分析では、特定の市場領域におけるベンダーの現状を洞察することができます。全体的な収益、顧客基盤、その他の主要指標に対するベンダーの貢献度を比較することで、企業が市場シェアを争う際に、自社の業績や直面している状況をより深く理解することができます。また、本分析では、調査した基準年において、特定のセクターがどの程度競合しているのか、蓄積、断片化の優位性、合併の特徴についても明らかにしています。

本レポートは、以下のポイントに関する洞察を提供します:

1.市場の浸透度:主要企業が提供する市場に関する包括的な情報を提供します。

2.市場の発展:有利な新興市場に関する詳細情報を提供し、市場の成熟セグメントにおける浸透度を分析します。

3.市場の多様化:新製品の上市、未開発地域、最近の開発、投資に関する詳細情報を提供します。

4.市場の動向:COVID-19、ロシア・ウクライナ紛争、高インフレの累積的な影響を包括的に理解することができます。

5.競合の評価と情報:主要企業の市場シェア、戦略、製品、認証、規制状況、特許状況、製造能力を網羅的に評価します。

6.製品開発およびイノベーション:将来技術、研究開発活動、画期的な製品開発に関する知的洞察を提供します。

本レポートは、以下のような質問にお答えします:

1.ディープラーニングチップセットの世界市場規模および予測は?

2.予測期間中、世界のディープラーニングチップセット市場を形成するCOVID-19の阻害要因と影響は?

3.ディープラーニングチップセットの世界市場において予測期間中に投資すべき製品/セグメント/アプリケーション/分野は?

4.ディープラーニングチップセットの世界市場における競争戦略は?

5.ディープラーニングチップセットの世界市場における技術動向と規制の枠組みは?

6.ディープラーニングチップセットの世界市場における主要ベンダーの市場シェアは?

7.ディープラーニングチップセットの世界市場への参入には、どのような形態や戦略的な動きが適していると考えられるか?

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

  • 市場力学
    • 促進要因
      • クラウドベースのテクノロジーの受け入れが拡大
      • 業界全体でビッグデータ分析の適用が増加
      • 量子コンピューティングの台頭とロボット工学における深層学習チップの実装の強化
    • 抑制要因
      • 熟練した専門知識と訓練を受けた専門家の不足
    • 機会
      • 人間を認識するAIシステムを開発する継続的なニーズ
      • 自律型ロボットの新たな開発
    • 課題
      • 投資収益率の低下と利用可能な構造データの制限
  • 市場動向
  • COVID-19の累積的な影響
  • ロシア・ウクライナ紛争の累積的影響
  • 高インフレの累積的影響
  • ポーターのファイブフォース分析
  • バリューチェーンとクリティカルパス分析
  • 規制の枠組み
  • 顧客のカスタマイズ

第6章 ディープラーニングチップセット市場:タイプ別

  • 特定用途向け集積回路
  • 中央処理装置
  • フィールドプログラマブルゲートアレイ
  • グラフィックスプロセッシングユニット

第7章 ディープラーニングチップセット市場:エンドユーザー別

  • 航空宇宙と防衛
  • 自動車
  • 家電
  • ヘルスケア
  • 産業用

第8章 南北アメリカのディープラーニングチップセット市場

  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第9章 アジア太平洋地域のディープラーニングチップセット市場

  • オーストラリア
  • 中国
  • インド
  • インドネシア
  • 日本
  • マレーシア
  • フィリピン
  • シンガポール
  • 韓国
  • 台湾
  • タイ
  • ベトナム

第10章 欧州・中東・アフリカのディープラーニングチップセット市場

  • デンマーク
  • エジプト
  • フィンランド
  • フランス
  • ドイツ
  • イスラエル
  • イタリア
  • オランダ
  • ナイジェリア
  • ノルウェー
  • ポーランド
  • カタール
  • ロシア
  • サウジアラビア
  • 南アフリカ
  • スペイン
  • スウェーデン
  • スイス
  • トルコ
  • アラブ首長国連邦
  • 英国

第11章 競合情勢

  • FPNVポジショニングマトリクス
  • 市場シェア分析:主要企業別
  • 競合シナリオ分析:主要企業別

第12章 掲載企業一覧

第13章 付録

  • ディスカッションガイド
  • ライセンスと価格について
図表

LIST OF FIGURES

  • FIGURE 1. DEEP LEARNING CHIPSET MARKET RESEARCH PROCESS
  • FIGURE 2. DEEP LEARNING CHIPSET MARKET SIZE, 2022 VS 2030
  • FIGURE 3. DEEP LEARNING CHIPSET MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2022 VS 2030 (%)
  • FIGURE 5. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
  • FIGURE 6. DEEP LEARNING CHIPSET MARKET SIZE, BY REGION, 2022 VS 2030 (%)
  • FIGURE 7. DEEP LEARNING CHIPSET MARKET DYNAMICS
  • FIGURE 8. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 9. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 10. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 11. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 12. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 13. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 14. DEEP LEARNING CHIPSET MARKET, FPNV POSITIONING MATRIX, 2022
  • FIGURE 15. DEEP LEARNING CHIPSET MARKET SHARE, BY KEY PLAYER, 2022

LIST OF TABLES

  • TABLE 1. DEEP LEARNING CHIPSET MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
  • TABLE 3. DEEP LEARNING CHIPSET MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 5. DEEP LEARNING CHIPSET MARKET SIZE, BY APPLICATION SPECIFIC INTEGRATED CIRCUITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 6. DEEP LEARNING CHIPSET MARKET SIZE, BY CENTRAL PROCESSING UNITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 7. DEEP LEARNING CHIPSET MARKET SIZE, BY FIELD PROGRAMMABLE GATE ARRAYS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 8. DEEP LEARNING CHIPSET MARKET SIZE, BY GRAPHICS PROCESSING UNITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 10. DEEP LEARNING CHIPSET MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. DEEP LEARNING CHIPSET MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. DEEP LEARNING CHIPSET MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. DEEP LEARNING CHIPSET MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. DEEP LEARNING CHIPSET MARKET SIZE, BY INDUSTRIAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 16. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 17. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 18. ARGENTINA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 19. ARGENTINA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 20. BRAZIL DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 21. BRAZIL DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 22. CANADA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 23. CANADA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 24. MEXICO DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 25. MEXICO DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 26. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 27. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 28. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 29. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 30. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 31. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 32. AUSTRALIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. AUSTRALIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 34. CHINA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 35. CHINA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 36. INDIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. INDIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. INDONESIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 39. INDONESIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 40. JAPAN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. JAPAN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. MALAYSIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 43. MALAYSIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 44. PHILIPPINES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. PHILIPPINES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. SINGAPORE DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. SINGAPORE DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 48. SOUTH KOREA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. SOUTH KOREA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 50. TAIWAN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 51. TAIWAN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. THAILAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. THAILAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 54. VIETNAM DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. VIETNAM DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 56. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 57. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 59. DENMARK DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 60. DENMARK DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 61. EGYPT DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. EGYPT DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 63. FINLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. FINLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 65. FRANCE DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 66. FRANCE DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 67. GERMANY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. GERMANY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 69. ISRAEL DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. ISRAEL DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 71. ITALY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. ITALY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 73. NETHERLANDS DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. NETHERLANDS DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 75. NIGERIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. NIGERIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 77. NORWAY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 78. NORWAY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 79. POLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. POLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 81. QATAR DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. QATAR DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 83. RUSSIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 84. RUSSIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 85. SAUDI ARABIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. SAUDI ARABIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 87. SOUTH AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 89. SPAIN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. SPAIN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 91. SWEDEN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. SWEDEN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 93. SWITZERLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. SWITZERLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 95. TURKEY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. TURKEY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 97. UNITED ARAB EMIRATES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED ARAB EMIRATES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED KINGDOM DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. UNITED KINGDOM DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 101. DEEP LEARNING CHIPSET MARKET, FPNV POSITIONING MATRIX, 2022
  • TABLE 102. DEEP LEARNING CHIPSET MARKET SHARE, BY KEY PLAYER, 2022
  • TABLE 103. DEEP LEARNING CHIPSET MARKET LICENSE & PRICING
目次
Product Code: MRR-4348D129F9D2

The Global Deep Learning Chipset Market is forecasted to grow significantly, with a projected USD 10,230.85 million in 2023 at a CAGR of 15.67% and expected to reach a staggering USD 28,392.36 million by 2030.

The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Deep Learning Chipset Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global Deep Learning Chipset Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Type, market is studied across Application Specific Integrated Circuits, Central Processing Units, Field Programmable Gate Arrays, and Graphics Processing Units. The Graphics Processing Units is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Aerospace & Defense, Automotive, Consumer Electronics, Healthcare, and Industrial. The Consumer Electronics is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Global Deep Learning Chipset Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Deep Learning Chipset Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Deep Learning Chipset Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Deep Learning Chipset Market?

4. What is the competitive strategic window for opportunities in the Global Deep Learning Chipset Market?

5. What are the technology trends and regulatory frameworks in the Global Deep Learning Chipset Market?

6. What is the market share of the leading vendors in the Global Deep Learning Chipset Market?

7. What modes and strategic moves are considered suitable for entering the Global Deep Learning Chipset Market?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Limitations
  • 1.7. Assumptions
  • 1.8. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

  • 4.1. Introduction
  • 4.2. Deep Learning Chipset Market, by Type, 2022 vs 2030
  • 4.3. Deep Learning Chipset Market, by End-User, 2022 vs 2030
  • 4.4. Deep Learning Chipset Market, by Region, 2022 vs 2030

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing acceptance of cloud-based technology
      • 5.1.1.2. Increasing application of big data analytics across industries
      • 5.1.1.3. Rising quantum computing and enhanced implementation of deep learning chips in robotics
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of skilled expertise and trained professional
    • 5.1.3. Opportunities
      • 5.1.3.1. Ongoing need to develop human-aware AI systems
      • 5.1.3.2. Emerging development of autonomous robots
    • 5.1.4. Challenges
      • 5.1.4.1. Reduced return on investment and limited structural data available
  • 5.2. Market Trends
  • 5.3. Cumulative Impact of COVID-19
  • 5.4. Cumulative Impact of Russia-Ukraine Conflict
  • 5.5. Cumulative Impact of High Inflation
  • 5.6. Porter's Five Forces Analysis
    • 5.6.1. Threat of New Entrants
    • 5.6.2. Threat of Substitutes
    • 5.6.3. Bargaining Power of Customers
    • 5.6.4. Bargaining Power of Suppliers
    • 5.6.5. Industry Rivalry
  • 5.7. Value Chain & Critical Path Analysis
  • 5.8. Regulatory Framework
  • 5.9. Client Customization

6. Deep Learning Chipset Market, by Type

  • 6.1. Introduction
  • 6.2. Application Specific Integrated Circuits
  • 6.3. Central Processing Units
  • 6.4. Field Programmable Gate Arrays
  • 6.5. Graphics Processing Units

7. Deep Learning Chipset Market, by End-User

  • 7.1. Introduction
  • 7.2. Aerospace & Defense
  • 7.3. Automotive
  • 7.4. Consumer Electronics
  • 7.5. Healthcare
  • 7.6. Industrial

8. Americas Deep Learning Chipset Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Deep Learning Chipset Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Deep Learning Chipset Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. FPNV Positioning Matrix
  • 11.2. Market Share Analysis, By Key Player
  • 11.3. Competitive Scenario Analysis, By Key Player

12. List of Company Mentioned

13. Appendix

  • 13.1. Discussion Guide
  • 13.2. License & Pricing