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市場調查報告書

商品編碼

2051118

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: 2026年03月12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

預計到2026年，深度學習市場規模將達到210.324億美元，到2033年將達到1524億美元。預計從2026年到2033年，其複合年成長率將達到32.9%。

報告範圍		報告詳情
基準年：	2025	2026年市場規模：	210.324億美元
歷史數據時期：	2020年至2024年	預測期：	2026年至2033年
2026年至2033年預測期間的複合年成長率：	32.90%	2033年市場規模預測：	1524億美元

深度學習是一種機器學習技術，它利用神經網路從大量非結構化資料中提取無監督模式。深度學習（簡稱深度學習）利用統計和預測建模來分析和解釋大量非結構化資料。它使用許多複雜的結構化和非結構化演算法從資料中獲取有意義的洞見。此外，它還利用人工智慧技術來模擬人腦處理數據和模式的方式，從而輔助決策。深度學習主要應用於自動駕駛汽車、語音辨識軟體、語言翻譯服務和語音辨識工具等領域。這項技術正被擴大應用於醫療保健、汽車、零售和航太/國防等眾多領域。

市場動態

受人工智慧、深度學習和物聯網技術在硬體、軟體和服務領域日益普及的推動，全球深度學習市場預計將在預測期內顯著成長。對人工智慧和物聯網 (IoT) 的日益成長的需求催生了對深度學習技術的需求，而深度學習技術需要先進的運算能力。許多公司正在生產針對人工智慧最佳化的硬體組件，例如處理器、記憶體和網路硬體。例如，2016 年 4 月，美國科技公司 NVIDIA 推出了 DGX-1，這是首款能夠滿足人工智慧無限運算需求的深度學習超級電腦。深度學習軟體解決方案被廣泛應用於各種應用程式和相容平台，例如超級電腦等高運算應用。這類軟體包含可用於重新編程的函式庫和軟體開發工具包 (SDK)。機器學習在託管服務和專業服務等領域的應用，正在幫助許多組織理解深度學習演算法，並提高生產力和效率。例如，隨著全球網路威脅的日益增加，企業正在利用託管服務來降低組織內部的網路威脅。例如，根據總部位於百慕達的國際保險集團 Hiscox Inc. 發布的報告，74% 的組織擁有新的基礎設施，但只有 10% 的組織擁有應對網路威脅所需的基礎設施。為了克服這些威脅，託管服務是推動市場成長的關鍵解決方案之一。

在終端用戶中，預計銀行、金融服務和保險 (BFSI) 行業在預測期內將呈現最高成長。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失。例如，2019 年 8 月，總部位於美國的跨國金融服務供應商Visa 公司發布了一套安全套件，旨在防止支付詐騙。 BFSI 產業持續致力於升級處理和交易技術，並為交易提供端到端安全保障，以最大限度地減少詐騙。例如，2016 年 9 月，醫療保健和銀行、金融服務及保險 (BFSI) 產業利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來攻擊這些產業。所有這些因素預計都將在預測期內推動深度學習市場的成長。

此外，全球領導者正致力於開發具有新功能和新技術的新產品，以保持市場競爭力。各行各業都在專注於開發具有新功能的新產品，以滿足終端用戶的需求。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（Intel Corporation）合作，推出DeepLens——一款具備深度學習功能的無線攝影機。此次合作將為開發者提供一個設計和建構人工智慧（AI）及機器學習產品的卓越工具。

本次調查的主要特點

本研究揭示了各個細分市場的潛在商機，並為該市場說明了一個具有吸引力的投資提案矩陣。
此外，本研究還深入分析了市場促進因素、限制因素、機會、新產品發布和核准、區域展望以及主要市場參與者採取的競爭策略。
本研究根據以下參數對全球深度學習市場的主要參與者進行了分析：公司概況、財務績效、產品系列、企業發展區域、市值、主要發展、策略和未來計劃。
透過利用本報告中的見解，企業行銷負責人和經營團隊將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。
這份全球深度學習市場報告的目標受群眾外包括產業內的各種相關人員，例如投資者、供應商、託管服務供應商、第三方服務供應商、經銷商、新參與企業和增值轉售商。
相關人員可以利用各種用於分析全球深度學習市場的策略矩陣，更輕鬆地做出決策。

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 義大利
- 法國
- 俄羅斯
- 其他歐洲國家
亞太地區
- 中國
- 印度
- 日本
- ASEAN
- 澳洲
- 韓國
- 其他亞太國家
拉丁美洲
- 巴西
- 阿根廷
- 墨西哥
- 其他拉丁美洲國家
中東和非洲
- 南非
- 海灣合作理事會國家
- 其他中東和非洲國家

第8章競爭情勢

公司簡介
- Advanced Micro Devices, Inc.
- Intel Corporation
- ARM Ltd.
- Clarifai, Inc.
- Entilic, Inc.
- IBM
- Microsoft
- NVIDIA Corporation
分析師意見

第9章

參考
調查方法

簡介目錄

Product Code: CMI4299

Deep Learning Market is estimated to be valued at USD 21,032.4 Mn in 2026 and is expected to reach USD 152,400.0 Mn by 2033, growing at a compound annual growth rate (CAGR) of 32.9% from 2026 to 2033.

Report Coverage		Report Details
Base Year:	2025	Market Size in 2026:	USD 21,032.4 Mn
Historical Data for:	2020 To 2024	Forecast Period:	2026 To 2033
Forecast Period 2026 to 2033 CAGR:	32.90%	2033 Value Projection:	USD 152,400 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

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 (Revenue, USD Mn, 2021 - 2033)
Hardware
Software
Service
- Installation Service
- Integration Service
- Maintenance & Support Service
By Application (Revenue, USD Mn, 2021 - 2033)
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User (Revenue, USD Mn, 2021 - 2033)
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Region (Revenue, USD Mn, 2021 - 2033)
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, 2021 - 2033 (USD Mn)

Introduction
- Market Share Analysis, 2021 and 2033 (%)
- Segment Trends
Hardware
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Software
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Services
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
  - Installation Service
  - Integration Service
  - Maintenance & Support Service

5. Global Deep Learning Market, By Application, 2021 - 2033 (USD Mn)

Introduction
- Market Share Analysis, 2021 and 2033 (%)
- Segment Trends
Image Recognition
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Voice Recognition
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Video Surveillance & Diagnostics
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Data Mining
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)

6. Global Deep Learning Market, By End User, 2021 - 2033 (USD Mn)

Introduction
- Market Share Analysis, 2021 and 2033 (%)
- Segment Trends
Automotive
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Aerospace & Defense
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
BFSI
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Healthcare
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Manufacturing
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Retail
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)
Others
- Introduction
- Market Size and Forecast, 2021-2033, (USD Mn)

7. Global Deep Learning Market, By Region, 2021 - 2033 (USD Mn)

Introduction
- Market Share Analysis, By Region, 2021 and 2033 (%)
North America
- Regional Trends
- Market Size and Forecast, By Component, 2021-2033 (USD Mn)
- Market Size and Forecast, By Application, 2021-2033 (USD Mn)
- Market Size and Forecast, By End User, 2021-2033 (USD Mn)
- Market Share Analysis, By Country, 2021 and 2033 (%)
  - U.S.
  - Canada
Europe
- Regional Trends
- Market Size and Forecast, By Component, 2021-2033 (USD Mn)
- Market Size and Forecast, By Application, 2021-2033 (USD Mn)
- Market Size and Forecast, By End User, 2021-2033 (USD Mn)
- Market Share Analysis, By Country, 2021 and 2033 (%)
  - U.K.
  - Germany
  - Spain
  - Italy
  - France
  - Russia
  - Rest of Europe
Asia Pacific
- Regional Trends
- Market Size and Forecast, By Component, 2021-2033 (USD Mn)
- Market Size and Forecast, By Application, 2021-2033 (USD Mn)
- Market Size and Forecast, By End User, 2021-2033 (USD Mn)
- Market Share Analysis, By Country, 2021 and 2033 (%)
  - China
  - India
  - Japan
  - ASEAN
  - Australia
  - South Korea
  - Rest of Asia Pacific
Latin America
- Regional Trends
- Market Size and Forecast, By Component, 2021-2033 (USD Mn)
- Market Size and Forecast, By Application, 2021-2033 (USD Mn)
- Market Size and Forecast, By End User, 2021-2033 (USD Mn)
- Market Share Analysis, By Country, 2021 and 2033 (%)
  - Brazil
  - Argentina
  - Mexico
  - Rest of Latin America
Middle East and Africa
- Regional Trends
- Market Size and Forecast, By Component, 2021-2033 (USD Mn)
- Market Size and Forecast, By Application, 2021-2033 (USD Mn)
- Market Size and Forecast, By End User, 2021-2033 (USD Mn)
- Market Share Analysis, By Country/Region, 2021 and 2033 (%)
  - 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