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2022-2029年全球深度学习市场规模研究与预测，按解决方案、按硬件、按应用、按终端用途和区域分析
市场调查报告书
商品编码
1269611

2022-2029年全球深度学习市场规模研究与预测，按解决方案、按硬件、按应用、按终端用途和区域分析

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个工作天内

价格

2021年，全球深度学习市场的价值约为371.5亿美元，预计在2022-2029年的预测期内将以超过33.5%的健康增长率增长。被称为 "深度学习 "的计算机指令或算法序列是基于大脑的结构和运作。它是机器学习的一个分支。深度学习是一种教计算机通过做来学习的方法。深度学习经常被称为人工神经网络或深度神经网络。统计和预测建模也是数据科学的重要组成部分，其中也包括深度学习。深度学习市场正在扩大，因为大数据分析的渗透率增加，深度学习算法的改进，以及发展人工智能和ML的投资增加等因素。然而，识别所需的大型训练数据集和高资本投资可能会阻止市场增长。

根据Statista的数据，2018年全球创造、捕获、复制和消费的数据/信息量为33兆字节，2021年增加到79兆字节，预计到2025年将达到181兆字节。因此，全球数据量的增加正在促进市场增长。因此，世界各地的数据量产生的上升正在迎合市场的增长。除此以外，由于教育机构广泛采用联网设备，以及政府采取措施加强行业垂直数字化，市场正在迅速增长。例如，澳大利亚天主教大学（ACU）在2020年7月创建了一个数据湖，利用其新合并的数据环境，提供一个统一的学生进展情况。为了帮助那些可能需要进一步支持或有可能完全退出大学的学生，它利用了微软的Power BI和Azure数据平台。因此，这被视为促进市场扩张的一个重要组成部分。此外，在一些行业中越来越多地采用基于云的技术。然而，在2022-2029年的预测期内，深度学习的高成本扼杀了市场的增长。

全球深度学习市场研究考虑的主要地区包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。由于对人工智能的投资增加，图像和模式识别技术的采用增加，北美在收入方面主导了市场。而欧洲在预测期内预计将以最高的复合年增长率增长，这是因为政府在各种终端使用行业采用人工智能和机器学习的倡议不断增加等因素。

该研究的目的是确定近年来不同细分市场和国家的市场规模，并对未来几年的价值进行预测。该报告旨在将研究涉及的国家内的行业的定性和定量方面都纳入其中。

该报告还提供了关于关键方面的详细信息，如驱动因素和挑战，这将确定市场的未来增长。此外，它还纳入了微观市场的潜在机会，供利益相关者投资，以及对竞争格局和主要参与者的解决方案的详细分析。.

目录

第一章：执行摘要

  • 市场简介
  • 2019-2029年全球和细分市场的估计和预测
    • 深度学习市场，按地区划分，2019-2029年
    • 深度学习市场，按解决方案，2019-2029年
    • 深度学习市场，按硬件划分，2019-2029年
    • 深度学习市场，按应用，2019-2029年
    • 深度学习市场，按终端用途，2019-2029年
  • 主要趋势
  • 估算方法
  • 研究假设

第二章：全球深度学习市场的定义和范围

  • 本研究的目的
  • 市场定义和范围
    • 研究的范围
    • 行业演变
  • 研究中考虑的年份
  • 货币兑换率

第三章：全球深度学习市场动态

  • 深度学习市场影响分析（2019-2029年）
    • 市场驱动力
      • 大数据分析中的渗透率增加
      • 深度学习算法的改进
      • 对人工智能和ML发展的投资不断增加
    • 市场挑战
      • 需要大量的训练数据集进行识别
      • 高资本投资
    • 市场机会
      • 多个行业越来越多地采用基于云的技术

第四章：全球深度学习市场行业分析

  • 波特的五力模型
    • 供应商的讨价还价能力
    • 买方的讨价还价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争性的竞争
  • 波特五力模型的未来方法（2019-2029年）
  • PEST分析
    • 政治因素
    • 经济
    • 社会
    • 技术
  • 最佳投资机会
  • 最佳策略
  • 行业专家展望
  • 分析师建议和结论

第五章：风险评估：COVID-19的影响

  • 评估COVID-19对行业的整体影响
  • COVID-19前和COVID-19后的市场情况

第六章：全球深度学习市场，按解决方案分类

  • 市场简介
  • 全球深度学习市场，按解决方案，性能 - 潜力分析
  • 2019-2029年全球深度学习市场按解决方案的估计和预测
  • 深度学习市场，次级细分市场分析
    • 硬件
    • 软件
    • 服务

第7章 ：全球深度学习市场，按硬件分类

  • 市场简介
  • 按硬件分類的全球深度学习市场，性能 - 潜力分析
  • 2019-2029年全球深度学习市场按硬件的估计和预测
  • 深度学习市场，次级細項分析
    • 中央处理单元（CPU）
    • 图形处理单元(GPU)
    • 现场可编程门阵列(FPGA)
    • 特定应用集成电路(ASIC)

第八章：全球深度学习市场，按应用分类

  • 市场简介
  • 全球深度学习市场按应用、性能 - 潜力分析
  • 2019-2029年全球深度学习市场按应用估计和预测的情况
  • 深度学习市场，次级细分市场分析
    • 图像识别
    • 语音识别
    • 视频监控和诊断
    • 资料探勘

第九章：全球深度学习市场，按最终用途划分

  • 市场简介
  • 按终端用途分類的全球深度学习市场，性能-潜力分析
  • 2019-2029年全球深度学习市场按终端用途的估计和预测
  • 深度学习市场，次级细分市场分析
    • 汽车行业
    • 航空航天和国防
    • 医疗保健
    • 零售业
    • 其他行业

第十章：全球深度学习市场，区域分析

  • 深度学习市场，区域市场简介
  • 北美洲
    • 美国
      • 2019-2029年，解决方案的细分估计和预测
      • 硬件分类估计和预测，2019-2029年
      • 2019-2029年，应用分类估计和预测
      • 2019-2029年终端使用分类估计和预测
    • 加拿大
  • 欧洲深度学习市场简介
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 意大利
    • 欧洲其他地区
  • 亚太地区深度学习市场简介
    • 中国
    • 中国
    • 日本
    • 澳大利亚
    • 韩国
    • 亚太其他地区
  • 拉丁美洲深度学习市场简介
    • 巴西
    • 墨西哥
    • 拉美其他地区
  • 世界其他地区

第十一章 ：竞争情报

  • 顶级市场战略
  • 公司简介
    • Advanced Micro Devices, Inc.
      • 关键信息
      • 纵览
      • 财务（取决于数据的可用性）
      • 产品摘要
      • 最近的发展情况
    • ARM Ltd.
    • Clarifai, Inc.
    • Entilic
    • Google, Inc.
    • HyperVerge
    • IBM Corporation
    • Intel Corporation
    • Microsoft Corporation
    • NVIDIA Corporation

第十二章 ：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场评估
    • 验证
    • 出版
  • 研究属性
  • 研究假设

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