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深度学习市场规模、份额和趋势分析报告：按解决方案（硬件、软件）、硬件、应用（图像识别、语音识别）、最终用途、地区、细分趋势，2023-2030 年
市场调查报告书
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1233255

深度学习市场规模、份额和趋势分析报告：按解决方案（硬件、软件）、硬件、应用（图像识别、语音识别）、最终用途、地区、细分趋势，2023-2030 年

Deep Learning Market Size, Share, & Trends Analysis Report By Solution (Hardware, Software), By Hardware, By Application (Image Recognition, Voice Recognition), By End-use, By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 118 Pages | 商品交期: 2-10个工作天内

价格

深度学习市场的增长和趋势

Grand View Research, Inc. 的一份新报告显示，全球深度学习市场从 2023 年到 2030 年将以 33.5% 的复合年增长率增长，预计到 2030 年将达到 5267 亿美元。

由于其强大的计算能力和复杂数据驱动应用程序的改进，预计深度学习在未来几年将获得持续的发展势头。 在以客户为中心的服务中，越来越重视大数据分析和人工智能 (AI) 的采用，预计将在预测期内推动深度学习行业的增长。

人工智能近年来发展迅速，使机器能够高效地执行认知任务。 人工智能在各个领域的采用为机器学习和深度学习应用创造了许多潜在机会。 此外，虚拟助手等 AI 即服务使更小的组织能够在无需大量资本投资的情况下实施深度学习应用程序所需的 AI 算法。 此外，大量数据的可用性和对高计算能力的需求促使中小企业和大型企业大力投资深度学习技术。

即使数据组织不当，深度学习也能让机器解决复杂问题。 深度学习算法迭代地执行任务，每次都进行微调以提高其性能。 因此，机器执行的任务越多，结果就越好。 因此，可以使用深度学习算法分析大量非结构化数据，并进一步部署以获得相关见解，以实现更可靠的决策过程。 例如，公司可以使用深度学习技术来发现行业观察、社交媒体对话和特定组织的股票价格之间的任何数据指针。

图像和语音识别是深度学习行业的主要应用之一。 一些在线和离线服务，例如Amazon的 Alexa 虚拟助手、Microsoft的 Cortana 和 Siri，在与人互动的同时使用深度学习来学习语言技能。 Facebook 和Google正在其图像分类应用程序中实施深度学习技术以进行认知图像分析。 这有助于公司提供与图像相关的相关结果和自动解释。

此外，深度学习算法可以用彩色再现黑白图像，在图像着色应用中提供令人印象深刻且准确的结果。 例如，2019 年 6 月，Amazon推出了一种名为 Alexa Conversations 的新型深度学习模型，以通过 Alexa 创造自然的语音体验。

由于这项技术的采用率很高，深度学习为供应商提供了一个有利可图的投资机会。 因此，每家公司都将产品开发视为其在深度学习行业获得市场份额的战略努力之一。 最近，在 2020 年 2 月，Google Inc. 宣布推出 Reformer，这是 Transformer 深度学习模型的更新版本。 2020 年 2 月，Concentrix Corporation 推出了用于网络安全应用程序的深度学习算法工具。

深度学习市场报告亮点

  • 由于对深度学习芯片组的需求不断增加以及硬件成本不断下降，预计硬件部分在预测期内增长最快。
  • 现场可编程门阵列 (FPGA) 具有强大的计算能力和能效。 因此，预计 FPGA 细分市场将在预测期内以最高复合年增长率增长。
  • 深度学习算法在自动提取复杂数据方面显示出巨大潜力，并在大数据分析应用中表现出色。
  • 通过应用神经网络分析患者数据集并提供更好的治疗结果，深度学习有可能在未来几年彻底改变医疗保健行业。
  • 亚太地区在深度学习技术方面表现出高速增长，政府采取了多项与数字化和采用人工智能和机器学习等下一代技术相关的举措。

内容

第 1 章市场细分和范围

  • 市场细分和范围
  • 市场定义
  • 信息采购
    • 购买的数据库
    • GVR 内部数据库
    • 二手信息和第三方观点
    • 初步调查
  • 信息分析
    • 数据分析模型
  • 市场形成和数据可视化
  • 验证和发布数据

第 2 章执行摘要和市场概况

  • 市场展望
  • 按细分市场预测
  • 竞争考虑

第 3 章深度学习行业展望、趋势和范围

  • 市场介绍
  • 深度学习市场规模和增长前景
  • 深度学习 - 价值链分析
  • 深度学习 - 市场动态
    • 市场驱动因素分析
      • 介绍用于深度学习应用的新硬件
      • 改进的深度学习算法
      • 大数据分析的扩展
    • 市场製约因素分析
      • 深度学习模型的可扩展性
      • 识别所需的大型训练数据集
  • 深度学习 - 映射渗透和增长前景
  • 商业环境分析工具
    • 害虫分析
    • 波特的五力分析

第四章深度学习应用解决方案展望

  • 2017-2030 年市场规模估算/预测和趋势分析（收入，百万美元）
  • 深度学习市场：解决方案波动分析
    • 硬件
    • 软件
    • 服务
      • 安装服务
      • 综合服务
      • 维护和支持服务

第五章深度学习硬件前景

  • 2017-2030 年市场规模估算/预测和趋势分析（收入，百万美元）
  • 深度学习市场：硬件波动分析
    • 中央处理器
    • GPU
    • FPGA
    • ASIC

第6章深度学习市场应用前景

  • 2017-2030 年市场规模估算/预测和趋势分析（收入，百万美元）
  • 深度学习市场：应用波动分析
    • 图像识别
    • 语音识别
    • 视频监控和诊断
    • 数据挖掘

第 7 章深度学习市场的最终用途展望

  • 2017-2030 年市场规模估算/预测和趋势分析（收入，百万美元）
  • 深度学习市场：最终用途变化分析
    • 汽车
    • 航空航天与国防
    • 医疗保健
    • 零售
    • 其他

第8章区域估计与趋势分析

  • 2017-2030 年市场规模估算/预测和趋势分析（收入，百万美元）
  • 2022 年和 2030 年各地区的深度学习市场份额
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
  • 亚太地区
    • 中国
    • 印度
    • 日本
  • 南美洲
    • 巴西
  • 多边环境协定

第9章竞争分析

  • 全球主要参与者、近期发展及其对行业的影响
  • 主要公司分类（主要创新者、市场领导者、初创企业）
  • 2022 年主要公司分析

第10章竞争格局

  • Advanced Micro Devices, Inc.
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • ARM Ltd.
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • Clarifai, Inc.
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • Entilic
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • Google, Inc.
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • HyperVerge
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • IBM Corporation
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • Intel Corporation
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • Microsoft Corporation
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
  • NVIDIA Corporation
    • 公司概况
    • 财务业绩
    • 产品基准
    • 最近的发展
Product Code: GVR-1-68038-466-6

Deep Learning Market Growth & Trends:

The global deep learning market size is expected to reach USD 526.7 billion by 2030, expanding at a CAGR of 33.5% from 2023 to 2030, according to a new report by Grand View Research, Inc. Deep learning is expected to gain sustainable momentum in the coming years owing to its high computational ability and improved complex data-driven applications. The growing emphasis on big data analytics and the adoption of Artificial Intelligence (AI) in customer-centric services is expected to propel the growth of the deep learning industry over the forecast period.

AI has evolved rapidly in recent years, enabling machines to perform cognitive tasks effectively. The adoption of AI across various sectors has unlocked numerous potential opportunities for machine learning and deep learning applications. Furthermore, AI-as-a-service such as virtual assistants has allowed smaller organizations to implement AI algorithms required for deep learning applications without a large capital investment. Moreover, the availability of a large amount of data and the need for high computing power encourage SMEs and large enterprises to invest significantly in deep learning technology.

Deep learning allows the machine to solve complex problems even if the data is not well organized. A deep learning algorithm performs a task repeatedly, every time tweaking it to improve the outcomes. Thus, the more the task performed by the machines, the better will be the outcome. As a result, large amounts of unstructured data can be analyzed using deep learning algorithms and further deployed to obtain relevant insights for a more reliable decision-making process. For instance, organizations may use deep learning technology to unveil any data pointers between industry insights, social media conversation, and a stock price of a given organization.

Image and voice recognition are some of the leading applications in the deep learning industry. Several online and offline services such as Alexa virtual assistant by Amazon, Microsoft Cortana, and Siri use deep learning to acquire language skills while interacting with people. Facebook and Google have implemented deep learning technology for cognitive image analysis in their image classification application. It helps companies provide relevant results and automatic descriptions related to images.

Besides, deep learning algorithms can recreate a black-and-white image in color, offering impressive and accurate results in image colorization applications. For instance, In June 2019, Amazon introduced a new deep learning model called Alexa Conversations to create natural voice experiences on Alexa.

Deep learning offers lucrative investment opportunities for vendors due to the technology's high adoption rate. As a result, the companies consider product development as one of the strategic initiatives to capture the deep learning industry share. Recently, in February 2020, Google Inc. announced the launch of Reformer, an updated version of the transformer deep-learning model. In February 2020, Concentrix Corporation launched the deep learning algorithm tool for cybersecurity applications.

Deep Learning Market Report Highlights:

  • The hardware segment is expected to witness the fastest growth over the forecast period owing to the growing demand for deep learning chipsets and reduced hardware costs
  • The Field Programmable Gate Array (FPGA) possesses high computational capability and has better power efficiency. As a result, the FPGA segment is expected to expand at the highest CAGR during the forecast period
  • Deep learning algorithms exhibit great potential in the automated extraction of complex data, thereby excelling in big data analytics application
  • Deep learning holds the potential to revolutionize the healthcare industry in the coming years by applying neural networks to analyze patient datasets to provide better outcomes
  • Several government initiatives related to digitalization and the growing adoption of next-generation technologies such as AI and machine learning in the APAC region exhibited the strong growth of deep learning technology

Table of Contents

Chapter 1 Market Segmentation and Scope

  • 1.1 Market Segmentation and Scope
  • 1.2 Market Definition
  • 1.3 Information Procurement
    • 1.3.1 Purchased Database
    • 1.3.2 GVR'S Internal Database
    • 1.3.3 Secondary Sources & Third-Party Perspectives
    • 1.3.4 Primary Research
  • 1.4 Information Analysis
    • 1.4.1 Data Analysis Models
  • 1.5 Market Formulation & Data Visualization
  • 1.6 Data Validation & Publishing

Chapter 2 Executive Summary & Market Snapshot

  • 2.1 Market Outlook
  • 2.2 Segmental Outlook
  • 2.3 Competitive Insights

Chapter 3 Deep Learnings Industry Outlook, Trends & Scope

  • 3.1 Market Introduction
  • 3.2 Deep Learning-Market Size and Growth Prospects
  • 3.3 Deep Learning -Value Chain Analysis
  • 3.4 Deep Learning -Market Dynamics
    • 3.4.1 MARKET DRIVER ANALYSIS
      • 3.4.1.1 Introduction of new hardware for deep learning applications
      • 3.4.1.2 Improvement in deep learning algorithms
      • 3.4.1.3 Increased penetration in big data analytics
    • 3.4.2 MARKET RESTRAINT ANALYSIS
      • 3.4.2.1 Scalability of deep learning models
      • 3.4.2.2 Requirement of large training datasets for recognition
  • 3.5 Deep Learning-Penetration & Growth Prospect Mapping
  • 3.6 Business Environment Analysis Tools
    • 3.6.1 PEST Analysis
    • 3.6.2 Porter's Five Force Analysis

Chapter 4 Deep Learning Application Solution Outlook

  • 4.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
  • 4.2 Deep Learning Market: Solution Movement Analysis
    • 4.2.1 Hardware
      • 4.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 4.2.2 Software
      • 4.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 4.2.3 Services
      • 4.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
      • 4.2.3.2 Installation Services
      • 4.2.3.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
      • 4.2.3.3 Integration Services
      • 4.2.3.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
      • 4.2.3.4 Maintenance & support services
      • 4.2.3.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 5 Deep Learning Hardware Outlook

  • 5.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
  • 5.2 Deep Learning Market: Hardware Movement Analysis
    • 5.2.1 CPU
      • 5.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 5.2.2 GPU
      • 5.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 5.2.3 FPGA
      • 5.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 5.2.4 ASIC
      • 5.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 6 Deep Learning Market Application Outlook

  • 6.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
  • 6.2 Deep Learning Market: Application Movement Analysis
    • 6.2.1 Image recognition
      • 6.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 6.2.2 Voice recognition
      • 6.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 6.2.3 Video Surveillance & Diagnostics
      • 6.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 6.2.4 Data Mining
      • 6.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 7 Deep Learning Market End-Use Outlook

  • 7.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
  • 7.2 Deep Learning Market: End-Use Movement Analysis
    • 7.2.1 Automotive
      • 7.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 7.2.2 Aerospace & Defense
      • 7.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 7.2.3 Healthcare
      • 7.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 7.2.4 Retail
      • 7.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
    • 7.2.5 Others
      • 7.2.5.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 8 Regional Estimates & Trend Analysis

  • 8.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
  • 8.2 Deep Learning Market Share by Region, 2022 & 2030
  • 8.3 North America
    • 8.3.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
    • 8.3.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
    • 8.3.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
    • 8.3.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
    • 8.3.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.3.6 U.S.
      • 8.3.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.3.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.3.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.3.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.3.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.3.7 Canada
      • 8.3.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.3.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.3.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.3.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.3.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.3.8 Mexico
      • 8.3.8.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.3.8.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.3.8.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.3.8.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.3.8.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
  • 8.4 Europe
    • 8.4.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
    • 8.4.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
    • 8.4.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
    • 8.4.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
    • 8.4.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.4.6 Germany
      • 8.4.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.4.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.4.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.4.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.4.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.4.7 U.K.
      • 8.4.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.4.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.4.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.4.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.4.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
  • 8.5 Asia Pacific
    • 8.5.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
    • 8.5.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
    • 8.5.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
    • 8.5.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
    • 8.5.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.5.6 China
      • 8.5.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.5.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.5.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.5.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.5.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.5.7 India
      • 8.5.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.5.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.5.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.5.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.5.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.5.8 Japan
      • 8.5.8.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.5.8.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.5.8.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.5.8.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.5.8.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
  • 8.6 South America
    • 8.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
    • 8.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
    • 8.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
    • 8.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
    • 8.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
    • 8.6.6 Brazil
      • 8.6.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
      • 8.6.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
      • 8.6.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
      • 8.6.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
      • 8.6.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
  • 8.7 MEA
    • 8.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
    • 8.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
    • 8.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
    • 8.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
    • 8.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)

Chapter 9 Competitive Analysis

  • 9.1 Key Global Players, Recent Developments & Their Impact on the Industry
  • 9.2 Key Company Categorization (Key innovators, Market leaders, and Emerging players)
  • 9.3 Key Company Analysis, 2022

Chapter 10 Competitive Landscape

  • 10.1 Advanced Micro Devices, Inc.
    • 10.1.1 Company overview
    • 10.1.2 Financial performance
    • 10.1.3 Product benchmarking
    • 10.1.4 Recent developments
  • 10.2 ARM Ltd.
    • 10.2.1 Company Overview
    • 10.2.2 Financial performance
    • 10.2.3 Product benchmarking
    • 10.2.4 Recent developments
  • 10.3 Clarifai, Inc.
    • 10.3.1 Company overview
    • 10.3.2 Financial performance
    • 10.3.3 Product benchmarking
    • 10.3.4 Recent developments
  • 10.4 Entilic
    • 10.4.1 Company overview
    • 10.4.2 Financial performance
    • 10.4.3 Product benchmarking
    • 10.4.4 Recent developments
  • 10.5 Google, Inc.
    • 10.5.1 Company overview
    • 10.5.2 Financial performance
    • 10.5.3 Product benchmarking
    • 10.5.4 Recent developments
  • 10.6 HyperVerge
    • 10.6.1 Company overview
    • 10.6.2 Financial performance
    • 10.6.3 Product benchmarking
    • 10.6.4 Recent developments
  • 10.7 IBM Corporation
    • 10.7.1 Company overview
    • 10.7.2 Financial performance
    • 10.7.3 Product benchmarking
    • 10.7.4 Recent developments
  • 10.8 Intel Corporation
    • 10.8.1 Company overview
    • 10.8.2 Financial performance
    • 10.8.2 Product benchmarking
    • 10.8.3 Recent developments
  • 10.9 Microsoft Corporation
    • 10.9.1 Company overview
    • 10.9.2 Financial performance
    • 10.9.3 Product benchmarking
    • 10.9.4 Recent developments
  • 10.10 NVIDIA Corporation
    • 10.10.1 Company overview
    • 10.10.2 Financial performance
    • 10.10.3 Product benchmarking
    • 10.10.4 Recent developments

List of Tables

  • TABLE 1 Global deep learning market, 2017 - 2030 (USD Million)
  • TABLE 2 Global market estimates and forecasts by region, 2017 - 2030 (USD Million)
  • TABLE 3 Global market estimates and forecasts by solution, 2017 - 2030 (USD Million)
  • TABLE 4 Global market estimates and forecasts by hardware, 2017 - 2030 (USD Million)
  • TABLE 5 Global market estimates and forecasts by services, 2017 - 2030 (USD Million)
  • TABLE 6 Global market estimates and forecasts by application, 2017 - 2030 (USD Million)
  • TABLE 7 Global market estimates and forecasts by end-use, 2017 - 2030 (USD Million)
  • TABLE 8 Global deep learning-based hardware market by region, 2017 - 2030 (USD Million)
  • TABLE 9 Global deep learning-based software market by region, 2017 - 2030 (USD Million)
  • TABLE 10 Global deep learning-based services market by region, 2017 - 2030 (USD Million)
  • TABLE 11 Global deep learning-based installation services market by region, 2017 - 2030 (USD Million)
  • TABLE 12 Global deep learning-based integration services market by region, 2017 - 2030 (USD Million)
  • TABLE 13 Global deep learning-based maintenance & support services market by region, 2017 - 2030 (USD Million)
  • TABLE 14 Global deep learning-based CPU market by region, 2017 - 2030 (USD Million)
  • TABLE 15 Global deep learning-based GPU market by region, 2017 - 2030 (USD Million)
  • TABLE 16 Global deep learning-based FPGA market by region, 2017 - 2030 (USD Million)
  • TABLE 17 Global deep learning-based ASIC market by region, 2017 - 2030 (USD Million)
  • TABLE 18 Global deep learning market in image recognition application by region, 2017 - 2030 (USD Million)
  • TABLE 19 Global deep learning market in voice recognition application by region, 2017 - 2030 (USD Million)
  • TABLE 20 Global deep learning market in video surveillance & diagnostics application by region, 2017 - 2030 (USD Million)
  • TABLE 21 Global deep learning market in data mining application by region, 2017 - 2030 (USD Million)
  • TABLE 22 Global deep learning market in automotive application by region, 2017 - 2030 (USD Million)
  • TABLE 23 Global deep learning market in aerospace & defense application by region, 2017 - 2030 (USD Million)
  • TABLE 24 Global deep learning market in healthcare application by region, 2017 - 2030 (USD Million)
  • TABLE 25 Global deep learning market in retail application by region, 2017 - 2030 (USD Million)
  • TABLE 26 Global deep learning market in other applications by region, 2017 - 2030 (USD Million)
  • TABLE 27 North America Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 28 North America Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 29 North America deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 30 North America Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 31 North America Deep Learning Market, by End-Use, 2017 - 2030 (USD Million)
  • TABLE 32 U.S. Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 33 U.S. Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 34 U.S. deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 35 U.S. Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 36 U.S. Deep Learning Market, by End-Use, 2017 - 2030 (USD Million)
  • TABLE 37 Canada Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 38 Canada Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 39 Canada deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 40 Canada Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 41 Canada deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 42 Europe Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 43 Europe Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 44 Europe deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 45 Europe Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 46 Europe deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 47 Germany Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 48 Germany Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 49 Germany deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 50 Germany Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 51 Germany deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 52 U.K. Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 53 U.K. Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 54 U.K. deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 55 U.K. Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 56 U.K. deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 57 Asia Pacific Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 58 Asia Pacific Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 59 Asia Pacific deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 60 Asia Pacific Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 61 Asia Pacific deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 62 China Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 63 China Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 64 China deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 65 China Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 66 China deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 67 India Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 68 India Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 69 India deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 70 India Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 71 India deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 72 Japan Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 73 Japan Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 74 Japan deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 75 Japan Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 76 Japan deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 77 South America Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 78 South America Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 79 South America deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 80 South America Deep Learning Market, by Application, 2017 - 2030 (USD million)
  • TABLE 81 South America deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 82 Brazil Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 83 Brazil Deep Learning Market, by Hardware,2017 - 2030 (USD Million)
  • TABLE 84 Brazil deep learning market by services,2017 - 2030 (USD Million)
  • TABLE 85 Brazil Deep Learning Market, by Application,2017 - 2030 (USD Million)
  • TABLE 86 Brazil deep learning market by end-use,2017 - 2030 (USD Million)
  • TABLE 87 Mexico Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
  • TABLE 88 Mexico Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 89 Mexico deep learning market by services, 2017 - 2030 (USD Million)
  • TABLE 90 Mexico Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 91 Mexico deep learning market by end-use, 2017 - 2030 (USD Million)
  • TABLE 92 MEA Deep Learning Market, by Solution 2017 - 2030 (USD Million)
  • TABLE 93 MEA Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
  • TABLE 94 MEA deep learning market by services 2017 - 2030 (USD Million)
  • TABLE 95 MEA Deep Learning Market, by Application, 2017 - 2030 (USD Million)
  • TABLE 96 MEA deep learning market by end-use, 2017 - 2030 (USD Million)

List of Figures

  • FIG 1 Deep learning market segmentation and scope
  • FIG. 2 Information procurement
  • FIG. 3 Primary research pattern
  • FIG. 4 Primary research process
  • FIG. 5 Market formulation and data visualization
  • FIG. 6 Industry Snapshot - Deep Learning
  • FIG. 7 Big data revenue, 2017 - 2030 (USD Million)
  • FIG. 8 Penetration & growth prospect mapping
  • FIG. 9 Porter's five forces analysis
  • FIG. 10 Deep learning - PEST analysis
  • FIG. 11 Deep learning market solution outlook key takeaways
  • FIG. 12 Deep learning market: Solution movement analysis
  • FIG. 13 Global deep learning-based hardware market, 2017 - 2030 (USD Million)
  • FIG. 14 Global deep learning-based software market, 2017 - 2030 (USD Million)
  • FIG. 15 Global deep learning-based services market, 2017 - 2030 (USD Million)
  • FIG. 16 Global deep learning-based installation services market, 2017 - 2030 (USD Million)
  • FIG. 17 Global deep learning-based integration services market, 2017 - 2030 (USD Million)
  • FIG. 18 Global deep learning-based maintenance & support services market, 2017 - 2030 (USD Million)
  • FIG. 19 Deep learning market hardware outlook key takeaways
  • FIG. 20 Deep learning market: Hardware movement analysis
  • FIG. 21 Global deep learning-based CPU market, 2017 - 2030 (USD Million)
  • FIG. 22 Global deep learning-based GPU market, 2017 - 2030 (USD Million)
  • FIG. 23 Global deep learning-based FPGA market, 2017 - 2030 (USD Million)
  • FIG. 24 Global deep learning-based ASIC market, 2017 - 2030 (USD Million)
  • FIG. 25 Deep learning market application outlook key takeaways
  • FIG. 26 Deep learning market: Application movement analysis
  • FIG. 27 Global deep learning market in image recognition application, 2017 - 2030 (USD Million)
  • FIG. 28 Global deep learning market in voice recognition application, 2017 - 2030 (USD Million)
  • FIG. 29 Global deep learning market in video surveillance & diagnostics application, 2017 - 2030 (USD Million)
  • FIG. 30 Global deep learning market in data mining application, 2017 - 2030 (USD Million)
  • FIG. 31 Deep learning market end-use outlook key takeaways
  • FIG. 32 Deep learning market: End-use movement analysis
  • FIG. 33 Global deep learning market in automotive application, 2017 - 2030 (USD Million)
  • FIG. 34 Global deep learning market in aerospace & defense application, 2017 - 2030 (USD Million)
  • FIG. 35 Global deep learning market in healthcare application, 2017 - 2030 (USD Million)
  • FIG. 36 Global deep learning market in retail application, 2017 - 2030 (USD Million)
  • FIG. 37 Global deep learning market in other applications, 2017 - 2030 (USD Million)
  • FIG. 38 Regional market place: Key takeaways
  • FIG. 39 Regional outlook, 2022 & 2030
  • FIG. 40 North America deep learning market, 2017 - 2030 (USD Million)
  • FIG. 41 Europe deep learning market, 2017 - 2030 (USD Million)
  • FIG. 42 Asia Pacific deep learning market, 2017 - 2030 (USD Million)
  • FIG. 43 Asia Pacific deep learning market, 2017 - 2030 (USD Million)