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2022-2029年全球深度學習市場規模研究與預測，按解決方案、按硬體、按應用、按終端用途和區域分析
市場調查報告書
商品編碼
1269611

2022-2029年全球深度學習市場規模研究與預測，按解決方案、按硬體、按應用、按終端用途和區域分析

Global Deep Learning Market Size study & Forecast, by Solution, by Hardware by Application, by End Use and Regional Analysis, 2022-2029
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 | 商品交期: 2-3個工作天內

價格

2021年，全球深度學習市場的價值約為371.5億美元，預計在2022-2029年的預測期內將以超過33.5%的健康成長率成長。稱為深度學習的電腦指令或算法序列是基於大腦的結構和運作。它是機器學習的一個分支。深度學習是一種教電腦邊做邊學的方法。深度學習又稱為人工神經網路或深度神經網路。統計和預測建模也是資料科學的重要組成部分，其中也包括深度學習。深度學習市場日益擴大，因為巨量資料分析的滲透率增加，深度學習算法的改進，以及發展人工智慧和ML的投資增加等因素。然而，識別所需的大型訓練資料集和高資本投資可能會阻礙市場成長。

根據Statista的資料，2018年全球創造、捕捉、複製和消費的資料/資訊量為33兆字節，2021年增加到79兆字節，預計到2025年將達到181兆字節。因此，全球資料量的增加促進市場成長。因此，世界各地的資料量產生的上升推動市場的成長。除此以外，由於教育機構廣泛採用聯網設備，以及政府採取措施加強產業垂直數位化，市場迅速成長。例如，澳洲天主教大學（ACU）在2020年7月創建了一個資料湖，利用其新合併的資料環境，提供學生進步的統一視圖。為了幫助那些可能需要進一步支援或有可能完全退出大學的學生，利用了微軟的Power BI和Azure資料平台。因此，這視為促進市場擴張的重要因素。此外，在一些產業中擴大採用雲端基礎的技術。然而，在2022-2029年的預測期內，深度學習的高成本阻礙了市場的成長。

全球深度學習市場研究涵蓋的主要地區括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。由於對人工智慧的投資增加，圖像和模式識別技術的採用增加，北美在收入方面主導了市場。而歐洲在預測期內預計將以最高的年複合成長率成長，這是因為政府在各種終端使用產業採用人工智慧和機器學習的計劃不斷增加等因素。

該研究的目的是確定近年來不同細分市場和國家的市場規模，並對未來幾年的價值進行預測。本報告旨在將研究涉及的國家內的產業的定性和定量方面都涵蓋其中。

本報告還提供了關於關鍵方面的詳細資訊，如驅動因素和挑戰，這將確定市場的未來成長。此外，還涵蓋了微觀市場的潛在機會，供利益相關者投資，以及對競爭格局和主要參與者的解決方案的詳細分析。

目錄

第一章：執行摘要

  • 市場簡介
  • 2019-2029年全球和細分市場的估計和預測
    • 深度學習市場，按地區分類，2019-2029年
    • 深度學習市場，按解決方案，2019-2029年
    • 深度學習市場，按硬體分類，2019-2029年
    • 深度學習市場，按應用，2019-2029年
    • 深度學習市場，按終端用途，2019-2029年
  • 主要趨勢
  • 估算方法
  • 研究假設

第二章：全球深度學習市場的定義和範圍

  • 本研究的目的
  • 市場定義和範圍
    • 研究的範圍
    • 產業演變
  • 研究中考慮的年份
  • 貨幣兌換率

第三章：全球深度學習市場動態

  • 深度學習市場影響分析（2019-2029年）
    • 市場驅動力
      • 巨量資料分析中的滲透率增加
      • 深度學習算法的改進
      • 對人工智慧和ML發展的投資不斷增加
    • 市場挑戰
      • 需要大量的訓練資料集進行識別
      • 高資本投資
    • 市場機會
      • 多個產業擴大採用雲端基礎的技術

第四章：全球深度學習市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買方的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭性的競爭
  • 波特五力模型的未來方法（2019-2029年）
  • PEST分析
    • 政治因素
    • 經濟
    • 社會
    • 技術
  • 最佳投資機會
  • 最佳策略
  • 產業專家展望
  • 分析師建議和結論

第五章：風險評估：COVID-19的影響

  • 評估COVID-19對產業的整體影響
  • COVID-19前和COVID-19後的市場情況

第六章：全球深度學習市場，按解決方案分類

  • 市場簡介
  • 全球深度學習市場，按解決方案，性能- 潛力分析
  • 2019-2029年全球深度學習市場按解決方案的估計和預測
  • 深度學習市場，次級細分市場分析
    • 硬體
    • 軟體
    • 服務

第7章：全球深度學習市場，按硬體分類

  • 市場簡介
  • 按硬體分類的全球深度學習市場，性能- 潛力分析
  • 2019-2029年全球深度學習市場按硬體的估計和預測
  • 深度學習市場，次級細項分析
    • 中央處理單元（CPU）
    • 圖形處理單元(GPU)
    • 現場可編程門陣列(FPGA)
    • 特定應用整合電路(ASIC)

第八章：全球深度學習市場，按應用分類

  • 市場簡介
  • 全球深度學習市場按應用、性能- 潛力分析
  • 2019-2029年全球深度學習市場按應用估計和預測的情況
  • 深度學習市場，次級細分市場分析
    • 圖像識別
    • 語音識別
    • 影片監控和診斷
    • 資料探勘

第九章：全球深度學習市場，按最終用途分類

  • 市場簡介
  • 按終端用途分類的全球深度學習市場，性能-潛力分析
  • 2019-2029年全球深度學習市場按終端用途的估計和預測
  • 深度學習市場，次級細分市場分析
    • 汽車產業
    • 航太和國防
    • 醫療保健
    • 零售業
    • 其他產業

第十章：全球深度學習市場，區域分析

  • 深度學習市場，區域市場簡介
  • 北美洲
    • 美國
      • 2019-2029年，解決方案的細分估計和預測
      • 硬體分類估計和預測，2019-2029年
      • 2019-2029年，應用分類估計和預測
      • 2019-2029年終端使用分類估計和預測
    • 加拿大
  • 歐洲深度學習市場簡介
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太地區深度學習市場簡介
    • 中國
    • 中國
    • 日本
    • 澳大利亞
    • 韓國
    • 亞太其他地區
  • 拉丁美洲深度學習市場簡介
    • 巴西
    • 墨西哥
    • 拉美其他地區
  • 世界其他地區

第十一章：競爭情報

  • 頂級市場戰略
  • 公司簡介
    • Advanced Micro Devices, Inc.
      • 關鍵資訊
      • 縱覽
      • 財務（取決於資料的可用性）
      • 產品摘要
      • 最近的發展情況
    • ARM Ltd.
    • Clarifai, Inc.
    • Entilic
    • Google, Inc.
    • HyperVerge
    • IBM Corporation
    • Intel Corporation
    • Microsoft Corporation
    • NVIDIA Corporation

第十二章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場評估
    • 驗證
    • 出版
  • 研究屬性
  • 研究假設

Global Deep Learning Market is valued approximately at USD 37.15billion in 2021 and is anticipated to grow with a healthy growth rate of more than 33.5% over the forecast period 2022-2029. A sequence of computer instructions or algorithms known as "deep learning" are based on the structure and operation of the brain. It is a branch of machine learning. Deep learning is a method for teaching computers to learn by doing. Deep learning is frequently referred to as artificial neural networks or deep neural networks. Statistics and predictive modelling are also important components of data science, which also includes deep learning. The Deep Learning market is expanding because of factors such as increased penetration in big data analytics, improvement in deep learning algorithms and rising investment for the development of AI and ML However, requirement of large training datasets for recognition and high capital investment may halt market growth.

According to Statista, in year 2018 Volume of data/information created, captured, copied, and consumed worldwide stood at 33 zettabytes which increased to 79 zettabytes in year 2021 and it is projected to reach at 181 zettabytes by year 2025. Thus, rise in generation of data volume across the world is fostering market growth. Thus rising data volume generation across the world is catering the market growth. Along with these, the market is growing rapidly due to the widespread adoption of connected devices in educational institutions and government measures to enhance industry vertical digitalization. For instance, the Australian Catholic University (ACU) created a data lake in July 2020 using its newly combined data environment to offer a unified view of student progress. In order to assist students who might require further support or who run the risk of quitting the university altogether, it makes use of Microsoft's Power BI and Azure data platform. As a result, this is seen as a significant component promoting market expansion. In addition, increasing adoption of cloud-based technology across several industries. However, the high cost of Deep Learning stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Deep Learning Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to rising investment in artificial intelligence, rise in adoption of image and pattern recognition technology. Whereas, Europe is expected to grow with a highest CAGR during the forecast period, owing to factors such as rising government initiatives to adopt artificial intelligence and machine learning in various end use industry.

Major market player included in this report are:

  • Advanced Micro Devices, Inc.
  • ARM Ltd.
  • Clarifai, Inc.
  • Entilic
  • Google, Inc.
  • HyperVerge
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • NVIDIA Corporation

Recent Developments in the Market:

  • In June 2020, Facebook AI Research announced the launch of TransCoder. It is a system which utilizes unsupervised deep-learning in conversion of code from one programming language to the another.
  • In May 2020, IBM announced that it would use a variety of artificial intelligence (AI) technologies to automate the management of IT operations and modernise applications. It employs machine learning and deep learning algorithms to time series data, semi-structured logs, structured data, and unstructured data spanning IT issues and human dialogues to trace the history of a problem.

Global Deep Learning Market Report Scope:

  • Historical Data 2019-2020-2021
  • Base Year for Estimation 2021
  • Forecast period 2022-2029
  • Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered Solution, Hardware, Application, End use, Region
  • Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
  • Customization Scope Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Solution offerings of key players. The detailed segments and sub-segment of the market are explained below.

By Solution:

  • Hardware
  • Software
  • Services

By Hardware:

  • Central Processing Unit (CPU)
  • Graphics Processing Unit (GPU)
  • Field Programmable Gate Array (FPGA)
  • Application-Specific Integration Circuit (ASIC)

By Application:

  • Image recognition
  • Voice recognition
  • Video surveillance & diagnostics
  • Data mining

By End Use:

  • Automotive
  • Aerospace & Defense
  • Healthcare
  • Retail
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Rest of the World

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
    • 1.2.1. Deep Learning Market, by Region, 2019-2029 (USD Billion)
    • 1.2.2. Deep Learning Market, by Solution, 2019-2029 (USD Billion)
    • 1.2.3. Deep Learning Market, by Hardware, 2019-2029 (USD Billion)
    • 1.2.4. Deep Learning Market, by Application, 2019-2029 (USD Billion)
    • 1.2.5. Deep Learning Market, by End Use, 2019-2029 (USD Billion)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global Deep Learning Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Scope of the Study
    • 2.2.2. Industry Evolution
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global Deep Learning Market Dynamics

  • 3.1. Deep Learning Market Impact Analysis (2019-2029)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Increased penetration in big data analytics
      • 3.1.1.2. Improvement in deep learning algorithms
      • 3.1.1.3. Rising investment for the development of AI and ML
    • 3.1.2. Market Challenges
      • 3.1.2.1. Requirement of large training datasets for recognition
      • 3.1.2.2. High Capital Investment
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Increasing adoption of cloud-based technology across several industries

Chapter 4. Global Deep Learning Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
  • 4.3. PEST Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
  • 4.4. Top investment opportunity
  • 4.5. Top winning strategies
  • 4.6. Industry Experts Prospective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Risk Assessment: COVID-19 Impact

  • 5.1. Assessment of the overall impact of COVID-19 on the industry
  • 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Deep Learning Market, by Solution

  • 6.1. Market Snapshot
  • 6.2. Global Deep Learning Market by Solution, Performance - Potential Analysis
  • 6.3. Global Deep Learning Market Estimates & Forecasts by Solution 2019-2029 (USD Billion)
  • 6.4. Deep Learning Market, Sub Segment Analysis
    • 6.4.1. Hardware
    • 6.4.2. Software
    • 6.4.3. Services

Chapter 7. Global Deep Learning Market, by Hardware

  • 7.1. Market Snapshot
  • 7.2. Global Deep Learning Market by Hardware, Performance - Potential Analysis
  • 7.3. Global Deep Learning Market Estimates & Forecasts by Hardware 2019-2029 (USD Billion)
  • 7.4. Deep Learning Market, Sub Segment Analysis
    • 7.4.1. Central Processing Unit (CPU)
    • 7.4.2. Graphics Processing Unit (GPU)
    • 7.4.3. Field Programmable Gate Array (FPGA)
    • 7.4.4. Application-Specific Integration Circuit (ASIC)

Chapter 8. Global Deep Learning Market, by Application

  • 8.1. Market Snapshot
  • 8.2. Global Deep Learning Market by Application, Performance - Potential Analysis
  • 8.3. Global Deep Learning Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
  • 8.4. Deep Learning Market, Sub Segment Analysis
    • 8.4.1. Image recognition
    • 8.4.2. Voice recognition
    • 8.4.3. Video surveillance & diagnostics
    • 8.4.4. Data mining

Chapter 9. Global Deep Learning Market, by End Use

  • 9.1. Market Snapshot
  • 9.2. Global Deep Learning Market by End Use, Performance - Potential Analysis
  • 9.3. Global Deep Learning Market Estimates & Forecasts by End Use 2019-2029 (USD Billion)
  • 9.4. Deep Learning Market, Sub Segment Analysis
    • 9.4.1. Automotive
    • 9.4.2. Aerospace & Defense
    • 9.4.3. Healthcare
    • 9.4.4. Retail
    • 9.4.5. Others

Chapter 10. Global Deep Learning Market, Regional Analysis

  • 10.1. Deep Learning Market, Regional Market Snapshot
  • 10.2. North America Deep Learning Market
    • 10.2.1. U.S. Deep Learning Market
      • 10.2.1.1. Solution breakdown estimates & forecasts, 2019-2029
      • 10.2.1.2. Hardware breakdown estimates & forecasts, 2019-2029
      • 10.2.1.3. Application breakdown estimates & forecasts, 2019-2029
      • 10.2.1.4. End Use breakdown estimates & forecasts, 2019-2029
    • 10.2.2. Canada Deep Learning Market
  • 10.3. Europe Deep Learning Market Snapshot
    • 10.3.1. U.K. Deep Learning Market
    • 10.3.2. Germany Deep Learning Market
    • 10.3.3. France Deep Learning Market
    • 10.3.4. Spain Deep Learning Market
    • 10.3.5. Italy Deep Learning Market
    • 10.3.6. Rest of Europe Deep Learning Market
  • 10.4. Asia-Pacific Deep Learning Market Snapshot
    • 10.4.1. China Deep Learning Market
    • 10.4.2. India Deep Learning Market
    • 10.4.3. Japan Deep Learning Market
    • 10.4.4. Australia Deep Learning Market
    • 10.4.5. South Korea Deep Learning Market
    • 10.4.6. Rest of Asia Pacific Deep Learning Market
  • 10.5. Latin America Deep Learning Market Snapshot
    • 10.5.1. Brazil Deep Learning Market
    • 10.5.2. Mexico Deep Learning Market
    • 10.5.3. Rest of Latin America Deep Learning Market
  • 10.6. Rest of The World Deep Learning Market

Chapter 11. Competitive Intelligence

  • 11.1. Top Market Strategies
  • 11.2. Company Profiles
    • 11.2.1. Advanced Micro Devices, Inc.
      • 11.2.1.1. Key Information
      • 11.2.1.2. Overview
      • 11.2.1.3. Financial (Subject to Data Availability)
      • 11.2.1.4. Product Summary
      • 11.2.1.5. Recent Developments
    • 11.2.2. ARM Ltd.
    • 11.2.3. Clarifai, Inc.
    • 11.2.4. Entilic
    • 11.2.5. Google, Inc.
    • 11.2.6. HyperVerge
    • 11.2.7. IBM Corporation
    • 11.2.8. Intel Corporation
    • 11.2.9. Microsoft Corporation
    • 11.2.10. NVIDIA Corporation

Chapter 12. Research Process

  • 12.1. Research Process
    • 12.1.1. Data Mining
    • 12.1.2. Analysis
    • 12.1.3. Market Estimation
    • 12.1.4. Validation
    • 12.1.5. Publishing
  • 12.2. Research Attributes
  • 12.3. Research Assumption

LIST OF TABLES

  • TABLE 1. Global Deep Learning Market, report scope
  • TABLE 2. Global Deep Learning Market estimates & forecasts by Region 2019-2029 (USD Billion)
  • TABLE 3. Global Deep Learning Market estimates & forecasts by Solution 2019-2029 (USD Billion)
  • TABLE 4. Global Deep Learning Market estimates & forecasts by Hardware 2019-2029 (USD Billion)
  • TABLE 5. Global Deep Learning Market estimates & forecasts by Application 2019-2029 (USD Billion)
  • TABLE 6. Global Deep Learning Market estimates & forecasts by End Use 2019-2029 (USD Billion)
  • TABLE 7. Global Deep Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 8. Global Deep Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 9. Global Deep Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 10. Global Deep Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 11. Global Deep Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 12. Global Deep Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 13. Global Deep Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 14. Global Deep Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 15. Global Deep Learning Market by segment, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 16. Global Deep Learning Market by region, estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 17. U.S. Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 18. U.S. Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 19. U.S. Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 20. Canada Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 21. Canada Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 22. Canada Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 23. UK Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 24. UK Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 25. UK Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 26. Germany Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 27. Germany Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 28. Germany Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 29. France Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 30. France Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 31. France Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 32. Italy Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 33. Italy Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 34. Italy Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 35. Spain Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 36. Spain Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 37. Spain Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 38. RoE Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 39. RoE Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 40. RoE Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 41. China Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 42. China Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 43. China Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 44. India Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 45. India Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 46. India Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 47. Japan Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 48. Japan Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 49. Japan Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 50. South Korea Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 51. South Korea Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 52. South Korea Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 53. Australia Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 54. Australia Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 55. Australia Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 56. RoAPAC Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 57. RoAPAC Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 58. RoAPAC Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 59. Brazil Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 60. Brazil Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 61. Brazil Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 62. Mexico Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 63. Mexico Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 64. Mexico Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 65. RoLA Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 66. RoLA Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 67. RoLA Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 68. Row Deep Learning Market estimates & forecasts, 2019-2029 (USD Billion)
  • TABLE 69. Row Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 70. Row Deep Learning Market estimates & forecasts by segment 2019-2029 (USD Billion)
  • TABLE 71. List of secondary sources, used in the study of global Deep Learning Market
  • TABLE 72. List of primary sources, used in the study of global Deep Learning Market
  • TABLE 73. Years considered for the study
  • TABLE 74. Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

List of figures

  • FIG 1. Global Deep Learning Market, research methodology
  • FIG 2. Global Deep Learning Market, Market estimation techniques
  • FIG 3. Global Market size estimates & forecast methods
  • FIG 4. Global Deep Learning Market, key trends 2021
  • FIG 5. Global Deep Learning Market, growth prospects 2022-2029
  • FIG 6. Global Deep Learning Market, porters 5 force model
  • FIG 7. Global Deep Learning Market, pest analysis
  • FIG 8. Global Deep Learning Market, value chain analysis
  • FIG 9. Global Deep Learning Market by segment, 2019 & 2029 (USD Billion)
  • FIG 10. Global Deep Learning Market by segment, 2019 & 2029 (USD Billion)
  • FIG 11. Global Deep Learning Market by segment, 2019 & 2029 (USD Billion)
  • FIG 12. Global Deep Learning Market by segment, 2019 & 2029 (USD Billion)
  • FIG 13. Global Deep Learning Market by segment, 2019 & 2029 (USD Billion)
  • FIG 14. Global Deep Learning Market, regional snapshot 2019 & 2029
  • FIG 15. North America Deep Learning Market 2019 & 2029 (USD Billion)
  • FIG 16. Europe Deep Learning Market 2019 & 2029 (USD Billion)
  • FIG 17. Asia pacific Deep Learning Market 2019 & 2029 (USD Billion)
  • FIG 18. Latin America Deep Learning Market 2019 & 2029 (USD Billion)
  • FIG 19. Global Deep Learning Market, company Market share analysis (2021)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable