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深度學習市場規模、份額和趨勢分析報告：按解決方案（硬件、軟件）、硬件、應用（圖像識別、語音識別）、最終用途、地區、細分趨勢，2023-2030 年
市場調查報告書
商品編碼
1233255

深度學習市場規模、份額和趨勢分析報告：按解決方案（硬件、軟件）、硬件、應用（圖像識別、語音識別）、最終用途、地區、細分趨勢，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個工作天內

價格

深度學習市場的增長和趨勢

Grand View Research, Inc. 的一份新報告顯示，全球深度學習市場從 2023 年到 2030 年將以 33.5% 的複合年增長率增長，預計到 2030 年將達到 5267 億美元。

由於其強大的計算能力和複雜數據驅動應用程序的改進，預計深度學習在未來幾年將獲得持續的發展勢頭。 在以客戶為中心的服務中，越來越重視大數據分析和人工智能 (AI) 的採用，預計將在預測期內推動深度學習行業的增長。

人工智能近年來發展迅速，使機器能夠高效地執行認知任務。 人工智能在各個領域的採用為機器學習和深度學習應用創造了許多潛在機會。 此外，虛擬助手等 AI 即服務使更小的組織能夠在無需大量資本投資的情況下實施深度學習應用程序所需的 AI 算法。 此外，大量數據的可用性和對高計算能力的需求促使中小企業和大型企業大力投資深度學習技術。

即使數據組織不當，深度學習也能讓機器解決複雜問題。 深度學習算法迭代地執行任務，每次都進行微調以提高其性能。 因此，機器執行的任務越多，結果就越好。 因此，可以使用深度學習算法分析大量非結構化數據，並進一步部署以獲得相關見解，以實現更可靠的決策過程。 例如，公司可以使用深度學習技術來發現行業觀察、社交媒體對話和特定組織的股票價格之間的任何數據指針。

圖像和語音識別是深度學習行業的主要應用之一。 一些在線和離線服務，例如Amazon的 Alexa 虛擬助手、Microsoft的 Cortana 和 Siri，在與人互動的同時使用深度學習來學習語言技能。 Facebook 和Google正在其圖像分類應用程序中實施深度學習技術以進行認知圖像分析。 這有助於公司提供與圖像相關的相關結果和自動解釋。

此外，深度學習算法可以用彩色再現黑白圖像，在圖像著色應用中提供令人印象深刻且準確的結果。 例如，2019 年 6 月，Amazon推出了一種名為 Alexa Conversations 的新型深度學習模型，以通過 Alexa 創造自然的語音體驗。

由於這項技術的採用率很高，深度學習為供應商提供了一個有利可圖的投資機會。 因此，每家公司都將產品開發視為其在深度學習行業獲得市場份額的戰略努力之一。 最近，在 2020 年 2 月，Google Inc. 宣佈推出 Reformer，這是 Transformer 深度學習模型的更新版本。 2020 年 2 月，Concentrix Corporation 推出了用於網絡安全應用程序的深度學習算法工具。

深度學習市場報告亮點

  • 由於對深度學習芯片組的需求不斷增加以及硬件成本不斷下降，預計硬件部分在預測期內增長最快。
  • 現場可編程門陣列 (FPGA) 具有強大的計算能力和能效。 因此，預計 FPGA 細分市場將在預測期內以最高複合年增長率增長。
  • 深度學習算法在自動提取複雜數據方面顯示出巨大潛力，並在大數據分析應用中表現出色。
  • 通過應用神經網絡分析患者數據集並提供更好的治療結果，深度學習有可能在未來幾年徹底改變醫療保健行業。
  • 亞太地區在深度學習技術方面表現出高速增長，政府採取了多項與數字化和採用人工智能和機器學習等下一代技術相關的舉措。

內容

第 1 章市場細分和範圍

  • 市場細分和範圍
  • 市場定義
  • 信息採購
    • 購買的數據庫
    • GVR 內部數據庫
    • 二手信息和第三方觀點
    • 初步調查
  • 信息分析
    • 數據分析模型
  • 市場形成和數據可視化
  • 驗證和發佈數據

第 2 章執行摘要和市場概況

  • 市場展望
  • 按細分市場預測
  • 競爭考慮

第 3 章深度學習行業展望、趨勢和範圍

  • 市場介紹
  • 深度學習市場規模和增長前景
  • 深度學習 - 價值鏈分析
  • 深度學習 - 市場動態
    • 市場驅動因素分析
      • 介紹用於深度學習應用的新硬件
      • 改進的深度學習算法
      • 大數據分析的擴展
    • 市場製約因素分析
      • 深度學習模型的可擴展性
      • 識別所需的大型訓練數據集
  • 深度學習 - 映射滲透和增長前景
  • 商業環境分析工具
    • 害蟲分析
    • 波特的五力分析

第四章深度學習應用解決方案展望

  • 2017-2030 年市場規模估算/預測和趨勢分析（收入，百萬美元）
  • 深度學習市場：解決方案波動分析
    • 硬件
    • 軟件
    • 服務
      • 安裝服務
      • 綜合服務
      • 維護和支持服務

第五章深度學習硬件前景

  • 2017-2030 年市場規模估算/預測和趨勢分析（收入，百萬美元）
  • 深度學習市場：硬件波動分析
    • 中央處理器
    • GPU
    • FPGA
    • ASIC

第6章深度學習市場應用前景

  • 2017-2030 年市場規模估算/預測和趨勢分析（收入，百萬美元）
  • 深度學習市場：應用波動分析
    • 圖像識別
    • 語音識別
    • 視頻監控和診斷
    • 數據挖掘

第 7 章深度學習市場的最終用途展望

  • 2017-2030 年市場規模估算/預測和趨勢分析（收入，百萬美元）
  • 深度學習市場：最終用途變化分析
    • 汽車
    • 航空航天與國防
    • 醫療保健
    • 零售
    • 其他

第8章區域估計與趨勢分析

  • 2017-2030 年市場規模估算/預測和趨勢分析（收入，百萬美元）
  • 2022 年和 2030 年各地區的深度學習市場份額
  • 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
  • 南美洲
    • 巴西
  • 多邊環境協定

第9章競爭分析

  • 全球主要參與者、近期發展及其對行業的影響
  • 主要公司分類（主要創新者、市場領導者、初創企業）
  • 2022 年主要公司分析

第10章競爭格局

  • Advanced Micro Devices, Inc.
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • ARM Ltd.
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • Clarifai, Inc.
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • Entilic
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • Google, Inc.
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • HyperVerge
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • IBM Corporation
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • Intel Corporation
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • Microsoft Corporation
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
  • NVIDIA Corporation
    • 公司概況
    • 財務業績
    • 產品基準
    • 最近的發展
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)