深度學習市場：按組件、應用、最終用戶和地區分類

Deep Learning Market, By Component, by Application, By End User, and by Region

出版日期: 2025年08月22日 | 出版商:

Coherent Market Insights | 英文 150 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

深度學習市場在 2025 年的價值估計為 210.324 億美元，預計到 2032 年將達到 1524.09 億美元，2025 年至 2032 年的年複合成長率（CAGR）為 32.70%。

報告範圍		報告詳細資訊
基準年	2024	2025年的市場規模	210.324億美元
效能數據	2020-2024	預測期	2025-2032
預測期間（2025-2032年）的複合年成長率：	32.70%	2032年預測	1524.9億美元

深度學習是一種機器學習方法，它利用神經網路從大量非結構化資料中產生無監督模式。深度學習，或稱為深度結構化學習，使用統計資料和預測模型來分析和解讀大量非結構化資料。它使用多種複雜的結構化和非結構化演算法，從數據中產生有意義的洞察。深度學習也使用模擬人腦運作方式的人工智慧技術來處理數據和模式，從而輔助決策。深度學習主要用於自動駕駛汽車、語音辨識軟體、語言翻譯服務和語音辨識工具。這項技術廣泛應用於醫療保健、汽車、零售、航太和國防等眾多領域。

市場動態

由於人工智慧、深度學習和物聯網技術在硬體、軟體和服務元件中的應用日益廣泛，預計全球深度學習市場在預測期內將大幅成長。對人工智慧和物聯網 (IoT) 日益成長的需求帶來了對深度學習技術的需求，而深度學習技術則需要高效能運算。許多公司生產針對人工智慧最佳化的硬體組件，如處理器、記憶體和網路硬體。例如，2016 年 4 月，美國科技公司 NVIDIA 宣布推出首款深度學習超級電腦DGX-1，以滿足人工智慧無盡的運算需求。深度學習軟體解決方案用於各種應用程式和高運算應用程式（如超級電腦）的支援平台。該軟體由庫和軟體開發套件組成，可以重新編程。機器學習服務（如託管服務和專業服務）正在幫助許多組織了解深度學習演算法，以提高生產力和效率。例如，隨著全球網路威脅的增加，公司正在使用託管服務來減輕其組織內部的網路威脅。例如，總部位於百慕達的國際保險集團Hiscox Inc.發布的一份報告發現，74%的組織正在建立應對網路威脅所需的基礎設施，而只有10%的組織已經擁有必要的基礎設施。為了應對這些威脅，託管服務是推動市場成長的關鍵解決方案之一。

在最終用戶中，銀行、金融服務和保險 (BFSI) 行業預計將在預測期內呈現最高成長。深度學習解決方案可協助金融服務供應商保護其資料和客戶，滿足產業和政府合規標準，並避免資料外洩造成的損害。例如，2019 年 8 月，美國跨國金融服務供應商Visa Inc. 推出了一款安全套件以防止支付詐騙。 BFSI 部門一直致力於升級其處理和交易技術，並為交易提供端到端安全性，以最大限度地減少詐欺。例如，2016 年 9 月，醫療保健和銀行、金融服務和保險 (BFSI) 使用微軟的雲端平台來保護員工資料並最佳化業務流程和模型。該行業在維護應用程式、網路和資料安全方面面臨挑戰。攻擊者正利用病毒、惡意軟體和其他網路攻擊瞄準這些產業。所有這些因素預計將在預測期內推動深度學習市場的成長。

此外，全球主要企業正致力於開發具有新功能和新技術的新產品，以維持市場競爭力。各行各業也致力於開發具有新功能的新產品，以滿足最終用戶的需求。例如，2017年11月，亞馬遜公司（Amazon.com Inc.）的子公司亞馬遜網路服務公司（AWS）宣布與美國跨國科技公司英特爾公司合作，推出深度學習無線攝影機DeepLens。透過此次合作，DeepLens攝影機為創作者提供了設計和建構人工智慧（AI）和機器學習產品的強大工具。

本次調查的主要特點

本報告詳細分析了全球深度學習市場規模（百萬美元）及其預測期（2020-2027 年）的年複合成長率(CAGR)，以 2019 年為基準年。
它揭示了不同領域的潛在商機，並說明了該市場的引人注目的投資提案。
它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、區域前景以及主要市場參與者採用的競爭策略的重要見解。
它根據公司概況、財務表現、產品系列、地理位置、市值、關鍵發展、策略和未來計劃等參數，概述了全球深度學習市場的主要企業。
本報告的見解將使企業負責人和經營團隊能夠就未來的產品發布、產品升級、市場擴張和行銷策略做出明智的決策。
全球深度學習市場報告涉及該行業的各個相關人員，包括投資者、供應商、託管服務供應商、第三方服務供應商、經銷商、新進入者和增值轉售商。
相關人員將透過用於分析全球深度學習市場的各種策略矩陣更輕鬆地做出決策。

Report Coverage	Report Details
Base Year:	2024	Market Size in 2025:	USD 21,032.4 Mn
Historical Data for:	2020 To 2024	Forecast Period:	2025 To 2032
Forecast Period 2025 to 2032 CAGR:	32.70%	2032 Value Projection:	USD 152,400.9 Mn

Deep Learning is an approach of machine learning that uses neural networks to facilitate unsupervised patterns generated from a large volume of unstructured data. Deep learning or deep structured learning use statistics and predictive modeling for analyzing and interpreting large volumes of unstructured data. It uses many complex structured and unstructured algorithms to generate meaningful insights from the data. It also uses artificial technology to mimic the functioning of the human brain while processing data, patterns, and is helpful in decision making. Deep learning is mainly used in self-driving vehicles, speech recognition software, language translation services, and voice recognition tools. This technology is being adopted in many applications such as healthcare, automotive, retail, aerospace & defense, and others.

Market Dynamics

The global deep learning market is expected to grow significantly during the forecast period, owing to the increasing adoption of artificial intelligence, deep learning, and IoT technologies in hardware, software, and services components. The increasing demand for artificial intelligence and the internet of things (IoT) created a demand for deep learning technology for high computing technologies. Many companies are manufacturing hardware components such as processor, memory, and network hardware that are optimized with artificial intelligence. For instance, in April 2016, NVIDIA, a U.S.-based technology company, launched DGX-1, the first deep learning supercomputer to meet the unlimited computing demand of artificial intelligence. The deep learning software solutions are used in various applications and compatible platforms for high computing applications such as supercomputer. The software consists of libraries and software development kits that can be used for re-programming. Machine learning in services such as managed and professional help many organizations to understand deep learning algorithms to enhance productivity and efficiency. For instance, as cyber threats across the globe have increased, managed services are used by the companies in order to decrease cyber threats in the organizations. For instance, according to a report published by Hiscox Inc., a Bermuda-based international insurance group, 74% of the organization has a new infrastructure and 10% of the organization has the necessary infrastructure to deal with cyber threats. To overcome threats, managed service is one of the major solutions that will drive the market growth.

Among end user, the banking, financial services, and insurance (BFSI) segment is expected to exhibit the highest growth during the forecast period. The deep learning solutions provide support to the financial service providers to protect their data, customers, meet industry & government compliance standards, and avoid damage caused by data breaches. For instance, in August 2019, Visa Inc., a U.S.-based multinational financial service provider company, launched a security suite to prevent payment frauds. The BFSI segment is continuously focusing on upgrading its processing and transactional technologies, and also focusing on providing end-to-end security for transactions to minimize the fraud. For instance, in September 2016, healthcare and banking, financial services, and insurance (BFSI) used Microsoft cloud platforms to protect employee data, and optimize business processes and models. The industry is facing challenges in maintaining the application, network, and data security. The attackers are targeting these sectors with viruses, malware, and other cyber-attacks. All these factors are expected to drive the deep learning market growth during the forecast period.

Moreover, major global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on developing new products with new features to cater to the demand from the end users. For instance, in November 2017, Amazon Web Services Inc., (AWS), a subsidiary of Amazon.com Inc., announced a collaboration with Intel Corporation, a U.S.-based multinational technology company and they have launched DeepLens, a deep learning wireless video camera. Through this collaboration, DeepLens camera provides creators great tools to design and build artificial intelligence (AI) and machine learning products.

Key features of the study

This report provides in-depth analysis of the global deep learning market size (USD Mn) and compound annual growth rate (CAGR %) for the forecast period (2020- 2027), considering 2019 as the base year.
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading market players.
It profiles leading players in the global deep learning market based on the following parameters - company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans.
Companies covered as a part of this study include NVIDIA Corporation, Intel Corporation, Xilinx, Micron Technology, Inc., Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Sensory Inc., Pathmind, Inc., Baidu Inc, Nuance Communications, Cisco Systems, Inc., Apple, Inc., and Wipro Limited.
Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics.
The global deep learning market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global deep learning market.

Market Segmentation

By Component
- Hardware
- Software
- Service
- Installation Service
- Integration Service
- Maintenance & Support Service
By Application
- Image Recognition
- Voice Recognition
- Video Surveillance & Diagnostics
- Data Mining
By End User
- Automotive
- Aerospace & Defense
- BFSI
- Healthcare
- Manufacturing
- Retail
- Others
By Region
- North America
- U.S.
- Canada
- Latin America
- Brazil
- Argentina
- Mexico
- Rest of Latin America
- Europe
- Germany
- U.K.
- Spain
- France
- Italy
- Russia
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- ASEAN
- Rest of Asia Pacific
- Middle East
- GCC Countries
- Israel
- Rest of Middle East
- Africa
- South Africa
- North Africa
- Central Africa
Deep Learning Market Companies
- Advanced Micro Devices, Inc.
- ARM Ltd.
- Clarifai, Inc.
- Entilic, Inc.
- IBM
- Intel Corporation
- Microsoft
- NVIDIA Corporation

1. Research Objectives and Assumptions

Research Objectives
Assumptions
Abbreviations

2. Market Purview

Report Description
- Market Definition and Scope
Executive Summary
- Market Snippet, By Component
- Market Snippet, By Application
- Market Snippet, By End User
- Market Snippet, By Region
Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

Market Dynamics
- Drivers
- Restraints
Market Opportunities
Regulatory Scenario
Industry Trend
Merger and Acquisitions
New system Launch/Approvals
Value Chain Analysis
Porter's Analysis
PEST Analysis

4. Global Deep Learning Market, By Component, 2020-2032 (USD Mn)

Introduction
- Market Share Analysis, 2020 and 2032 (%)
- Segment Trends
Hardware
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Software
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Services
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Installation Service
Integration Service
Maintenance & Support Service

5. Global Deep Learning Market, By Application, 2020-2032 (USD Mn)

Introduction
- Market Share Analysis, 2020 and 2032 (%)
- Segment Trends
Image Recognition
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Voice Recognition
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Video Surveillance & Diagnostics
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Data Mining
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)

6. Global Deep Learning Market, By End User, 2020-2032 (USD Mn)

Introduction
- Market Share Analysis, 2020 and 2032 (%)
- Segment Trends
Automotive
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Aerospace & Defense
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
BFSI
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Healthcare
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Manufacturing
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Retail
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)
Others
- Introduction
- Market Size and Forecast, 2020-2032, (USD Mn)

7. Global Deep Learning Market, By Region, 2020-2032 (USD Mn)

Introduction
- Market Share Analysis, By Region, 2020 and 2032 (%)
North America
- Regional Trends
- Market Size and Forecast, By Component, 2020-2032 (USD Mn)
- Market Size and Forecast, By Application, 2020-2032 (USD Mn)
- Market Size and Forecast, By End User, 2020-2032 (USD Mn)
- Market Share Analysis, By Country, 2020 and 2032 (%)
  - U.S.
  - Canada
Europe
- Regional Trends
- Market Size and Forecast, By Component, 2020-2032 (USD Mn)
- Market Size and Forecast, By Application, 2020-2032 (USD Mn)
- Market Size and Forecast, By End User, 2020-2032 (USD Mn)
- Market Share Analysis, By Country, 2020 and 2032 (%)
  - U.K.
  - Germany
  - Spain
  - Italy
  - France
  - Russia
  - Rest of Europe
Asia Pacific
- Regional Trends
- Market Size and Forecast, By Component, 2020-2032 (USD Mn)
- Market Size and Forecast, By Application, 2020-2032 (USD Mn)
- Market Size and Forecast, By End User, 2020-2032 (USD Mn)
- Market Share Analysis, By Country, 2020 and 2032 (%)
  - China
  - India
  - Japan
  - ASEAN
  - Australia
  - South Korea
  - Rest of Asia Pacific
Latin America
- Regional Trends
- Market Size and Forecast, By Component, 2020-2032 (USD Mn)
- Market Size and Forecast, By Application, 2020-2032 (USD Mn)
- Market Size and Forecast, By End User, 2020-2032 (USD Mn)
- Market Share Analysis, By Country, 2020 and 2032 (%)
  - Brazil
  - Argentina
  - Mexico
  - Rest of Latin America
Middle East and Africa
- Regional Trends
- Market Size and Forecast, By Component, 2020-2032 (USD Mn)
- Market Size and Forecast, By Application, 2020-2032 (USD Mn)
- Market Size and Forecast, By End User, 2020-2032 (USD Mn)
- Market Share Analysis, By Country/Region, 2020 and 2032 (%)
  - South Africa
  - GCC Countries
  - Rest of the Middle East and Africa

8. Competitive Landscape

Company Profiles
- Advanced Micro Devices, Inc.
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- Intel Corporation
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- ARM Ltd.
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- Clarifai, Inc.
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- Entilic, Inc.
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- IBM
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- Microsoft
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
- NVIDIA Corporation
  - Company Overview
  - Product Portfolio
  - Financial Performance
  - Key Strategies
  - Recent Developments/Updates
  - Analyst Views