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市場調查報告書
商品編碼
1306261

深度學習晶片組市場：按類型、最終用戶分類 - 2023-2030 年全球預測

Deep Learning Chipset Market by Type, End-User - Cumulative Impact of COVID-19, Russia Ukraine Conflict, and High Inflation - Global Forecast 2023-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2個工作天內

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預計2023年全球深度學習晶片市場將大幅成長，達到102.3085億美元，複合年成長率為15.67%，2030年將達到283.9236億美元。

FPNV定位矩陣

FPNV定位矩陣對於評估全球深度學習晶片組市場至關重要。通過檢查業務戰略和產品滿意度的關鍵指標，我們對供應商進行全面評估，使您能夠根據您的具體需求做出明智的資訊。這種高級分析將供應商分為四個像限，並取得了不同程度的成功：前沿 (F)、探路者 (P)、利基 (N) 和重要 (V)。

市場佔有率分析

市場佔有率分析可以深入了解供應商在特定市場領域的當前地位。比較供應商對總收入、基本客群和其他關鍵指標的貢獻，可以幫助公司更好地了解他們在爭奪市場佔有率時的表現以及面臨的情況。該分析還揭示了特定行業的競爭程度、積累和合併的優勢以及研究基準年的合併特徵。

本報告提供了以下幾點見解：

1. 市場滲透率：提供有關主要企業所服務的市場的全面資訊。

2. 市場開發：提供有關利潤豐厚的新興市場的詳細資訊，並分析其在成熟市場的滲透率。

3. 市場多元化：提供有關新產品發布、未開發地區、最新發展和投資的詳細資訊。

4.市場趨勢：全面了解COVID-19、俄羅斯-烏克蘭衝突和高通貨膨脹的累積影響。

5、競爭評估與資訊：對主要企業的市場佔有率、戰略、產品、認證、法規狀況、專利狀況、製造能力等進行綜合評價。

6. 產品開發和創新：提供對未來技術、研發活動和突破性產品開發的見解。

本報告回答了以下問題：

1.全球深度學習晶片市場規模及預測是多少？

2.在預測期內，COVID-19 對全球深度學習晶片組市場的抑制要素和影響是什麼？

3. 在預測期內，全球深度學習晶片組市場需要投資哪些產品/細分市場/應用/領域？

4、全球深度學習晶片市場的競爭策略是什麼？

5. 全球深度學習晶片市場的技術趨勢和法律規範是什麼？

6、全球深度學習晶片組市場主要廠商的市場佔有率是多少？

7、您認為深度學習晶片適合以什麼樣的型態和戰略舉措進入全球市場？

目錄

第1章 前言

第2章 調查方法

第3章 執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 促進因素
      • 人們越來越接受雲端基礎的技術
      • 巨量資料分析的應用在各行業中不斷增加
      • 量子計算的興起和深度學習晶片在機器人領域的增強實施
    • 抑制因素
      • 缺乏熟練的專業知識和訓練有素的專業人員
    • 機會
      • 持續需要開發識別人類的人工智慧系統
      • 自主機器人新進展
    • 任務
      • 投資回報率降低且可用結構資料有限
  • 市場趨勢
  • COVID-19 的累積影響
  • 俄羅斯-烏克蘭衝突的累積影響
  • 高通貨膨脹的累積效應
  • 波特五力分析
  • 價值鍊和關鍵路徑分析
  • 法律規範
  • 客戶客製化

第6章 深度學習晶片組市場：按類型

  • 用途積體電路
  • 中央處理器
  • 現場可程式化邏輯閘陣列
  • 圖形處理單元

第7章 深度學習晶片組市場：按最終用戶分類

  • 航太和國防
  • 車
  • 家用電器
  • 衛生保健
  • 工業的

第8章 美洲深度學習晶片組市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章 亞太深度學習晶片組市場

  • 澳大利亞
  • 中國
  • 印度
  • 印度尼西亞
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第10章 歐洲、中東和非洲深度學習晶片組市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第11章競爭形勢

  • FPNV定位矩陣
  • 市場佔有率分析：主要企業
  • 競爭情景分析：主要企業

第12章上市公司名單

第13章附錄

  • 討論指南
  • 關於許可和定價
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

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