表紙
市場調查報告書
商品編碼
1076497

深度學習的全球市場:各解決方案,各硬體設備,各用途,各最終用途,各地區的市場規模、佔有率、趨勢分析,各市場區隔的預測(2022年∼2030年)

Deep Learning Market Size, Share & Trends Analysis Report By Solution, By Hardware (CPU, GPU, FPGA, ASIC), By Application (Image Recognition, Voice Recognition), By End Use, By Region, And Segment Forecasts, 2022 - 2030

出版日期: | 出版商: Grand View Research, Inc. | 英文 118 Pages | 商品交期: 2-10個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

全球深度學習的市場規模,在預測期間內預計以34.3%的年複合成長率成長,至2030年達到5,267億美元。

客戶中心的服務中巨量資料分析和人工智慧的採用受到重視,預計促進在預測期間內的市場成長。

本報告提供全球深度學習市場相關調查分析,市場趨勢,各市場區隔、各地區的市場分析,競爭情形等資訊。

目錄

第1章 市場細分化和範圍

  • 市場細分化和範圍
  • 市場定義
  • 資訊採購
  • 資訊分析
  • 市場定式化和資料的視覺化
  • 資料的檢驗與公開

第2章 摘要整理和市場概述

  • 市場預測
  • 各市場區隔預測
  • 競爭考察

第3章 深度學習產業的展望,趨勢,範圍

  • 市場簡介
  • 深度學習:市場規模與成長預測
  • 深度學習:價值鏈分析
  • 深度學習:市場動態
  • 深度學習:滲透與成長預測的製圖
  • 商務環境分析工具

第4章 深度學習市場:各解決方案的展望

  • 市場規模的估計,預測,趨勢分析(2017年∼2030年)
  • 深度學習市場:各解決方案趨勢分析
    • 硬體設備
    • 軟體
    • 服務

第5章 深度學習市場:各硬體設備的展望

  • 市場規模的估計,預測,趨勢分析(2017年∼2030年)
  • 深度學習市場:各硬體設備趨勢分析
    • CPU
    • GPU
    • FPGA
    • ASIC

第6章 深度學習市場:各用途的展望

  • 市場規模的估計,預測,趨勢分析(2017年∼2030年)
  • 深度學習市場:各用途趨勢分析
    • 影像識別
    • 語音辨識
    • 影音監控與診斷
    • 資料探勘

第7章 深度學習市場:各最終用途展望

  • 市場規模的估計,預測,趨勢分析(2017年∼2030年)
  • 深度學習市場:各最終用途趨勢分析
    • 汽車
    • 航太、防衛
    • 醫療保健
    • 製造
    • 其他

第8章 各地區的估計趨勢分析

  • 市場規模的估計,預測,趨勢分析(2017年∼2030年)
  • 各地區的深度學習市場佔有率(2021年、2030年)
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
  • 亞太地區
    • 中國
    • 印度
    • 日本
  • 南美
    • 巴西
  • 中東、非洲

第9章 競爭分析

  • 全球主要企業:最近的趨勢與對產業的影響
  • 主要企業的分類(主要創新者,市場領導,及新興企業)
  • 主要企業分析(2021年)

第10章 競爭情形

  • Advanced Micro Devices, Inc.
  • ARM Ltd.
  • Clarifai, Inc.
  • Entilic
  • Google, Inc.
  • HyperVerge
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
目錄
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, registering a CAGR of 34.3% over the forecast period, 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 Artificial Intelligence (AI) adoption in customer-centric services is expected to propel the growth of the market over the forecast period.

AI has evolved rapidly over the period, enabling the machine to perform cognitive tasks effectively. The adoption of AI across various sectors has unlocked the potential opportunities for machine learning and deep learning applications. AI-as-a-service has allowed smaller organizations to implement the 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 Small & Medium Enterprises (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 obtain relevant insights for the decision-making process. For instance, the 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 market. Several online and offline services such as Alexa virtual assistant by Amazon, Microsoft Cortana, and Siri use deep learning to understand humans' language while interacting with them. Facebook and Google have implemented deep learning technology for cognitive image analysis in their image classification application. It helps the companies to provide relevant results and automatic descriptions related to the image. 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 market 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 a high computational capability and has better power efficiency. As a result, the FPGA segment is expected to grow at the highest CAGR during the forecast period
  • Deep learning algorithms exhibit great potential in the automated extraction of complex data, thereby excelling in the big data analytics application
  • Deep learning is expected to revolutionize the healthcare industry in the coming years by applying neural networks to patients' data 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 a large amount of training data 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 Market 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 Market 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 Manufacturing
      • 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, 2021 & 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, 2021

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
    • 10.8.3 Product benchmarking
    • 10.8.4 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, (USD Million), 2017 - 2030
  • TABLE 2 Global market estimates and forecasts by region, (USD Million), 2017 - 2030
  • TABLE 3 Global market estimates and forecasts by solution, (USD Million), 2017 - 2030
  • TABLE 4 Global market estimates and forecasts by hardware, (USD Million), 2017 - 2030
  • TABLE 5 Global market estimates and forecasts by services, (USD Million), 2017 - 2030
  • TABLE 6 Global market estimates and forecasts by application, (USD Million), 2017 - 2030
  • TABLE 7 Global market estimates and forecasts by end use, (USD Million), 2017 - 2030
  • 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 UK 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 application, 2017 - 2030 (USD Million)
  • FIG. 38 Regional marketplace: Key takeaways
  • FIG. 39 Regional outlook, 2021 & 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)