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市场调查报告书

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1812480

深度学习市场：按组件、应用、最终用户和地区划分

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个工作天内

价格

简介目录

深度学习市场在 2025 年的价值估计为 210.324 亿美元，预计到 2032 年将达到 1524.09 亿美元，2025 年至 2032 年的年复合成长率（CAGR）为 32.70%。

报告范围		报告详细信息
基准年	2024	2025年的市场规模	210.324亿美元
效能数据	2020-2024	预测期	2025-2032
预测期间（2025-2032年）的复合年增长率：	32.70%	2032年预测	1524.9亿美元

深度学习是一种机器学习方法，它利用神经网路从大量非结构化资料中产生无监督模式。深度学习，或称为深度结构化学习，使用统计资料和预测模型来分析和解读大量非结构化资料。它使用多种复杂的结构化和非结构化演算法，从数据中产生有意义的洞察。深度学习也使用模拟人脑运作方式的人工智慧技术来处理数据和模式，从而辅助决策。深度学习主要用于自动驾驶汽车、语音辨识软体、语言翻译服务和语音辨识工具。这项技术广泛应用于医疗保健、汽车、零售、航太和国防等众多领域。

市场动态

由于人工智慧、深度学习和物联网技术在硬体、软体和服务元件中的应用日益广泛，预计全球深度学习市场在预测期内将大幅成长。对人工智慧和物联网 (IoT) 日益增长的需求带来了对深度学习技术的需求，而深度学习技术则需要高效能运算。许多公司生产针对人工智慧最佳化的硬体组件，如处理器、记忆体和网路硬体。例如，2016 年 4 月，美国科技公司 NVIDIA 宣布推出首款深度学习超级电脑DGX-1，以满足人工智慧无尽的运算需求。深度学习软体解决方案用于各种应用程式和高运算应用程式（如超级电脑）的支援平台。该软体由库和软体开发套件组成，可以重新编程。机器学习服务（如託管服务和专业服务）正在帮助许多组织了解深度学习演算法，以提高生产力和效率。例如，随着全球网路威胁的增加，公司正在使用託管服务来减轻其组织内部的网路威胁。例如，总部位于百慕达的国际保险集团Hiscox Inc.发布的一份报告发现，74%的组织正在建立应对网路威胁所需的基础设施，而只有10%的组织已经拥有必要的基础设施。为了应对这些威胁，託管服务是推动市场成长的关键解决方案之一。

在最终用户中，银行、金融服务和保险 (BFSI) 行业预计将在预测期内呈现最高成长。深度学习解决方案可协助金融服务供应商保护其资料和客户，满足产业和政府合规标准，并避免资料外洩造成的损害。例如，2019 年 8 月，美国跨国金融服务供应商Visa Inc. 推出了一款安全套件以防止支付诈骗。 BFSI 部门一直致力于升级其处理和交易技术，并为交易提供端到端安全性，以最大限度地减少诈欺。例如，2016 年 9 月，医疗保健和银行、金融服务和保险 (BFSI) 使用微软的云端平台来保护员工资料并优化业务流程和模型。该行业在维护应用程式、网路和资料安全方面面临挑战。攻击者正利用病毒、恶意软体和其他网路攻击瞄准这些产业。所有这些因素预计将在预测期内推动深度学习市场的成长。

此外，全球主要企业正致力于开发具有新功能和新技术的新产品，以维持市场竞争力。各行各业也致力于开发具有新功能的新产品，以满足最终用户的需求。例如，2017年11月，亚马逊公司（Amazon.com Inc.）的子公司亚马逊网路服务公司（AWS）宣布与美国跨国科技公司英特尔公司合作，推出深度学习无线摄影机DeepLens。透过此次合作，DeepLens摄影机为创作者提供了设计和建构人工智慧（AI）和机器学习产品的强大工具。

本次调查的主要特点

本报告详细分析了全球深度学习市场规模（百万美元）及其预测期（2020-2027 年）的年复合成长率(CAGR)，以 2019 年为基准年。
它揭示了不同领域的潜在商机，并说明了该市场的引人注目的投资提案。
它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、区域前景以及主要市场参与者采用的竞争策略的重要见解。
它根据公司概况、财务表现、产品系列、地理位置、市值、关键发展、策略和未来计划等参数，概述了全球深度学习市场的主要企业。
本报告的见解将使企业负责人和经营团队能够就未来的产品发布、产品升级、市场扩张和行销策略做出明智的决策。
全球深度学习市场报告涉及该行业的各个相关人员，包括投资者、供应商、託管服务供应商、第三方服务供应商、经销商、新进入者和增值转售商。
相关人员将透过用于分析全球深度学习市场的各种策略矩阵更轻鬆地做出决策。

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

9. Section

References
Research Methodology
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License/价格

深度学习市场：按组件、应用、最终用户和地区划分

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

市场动态

目录

第一章研究目标与前提

第二章市场展望

第三章：市场动态、法规与趋势分析

4. 2020-2032 年全球深度学习市场（按组成部分）

第五章：2020-2032 年全球深度学习市场（按应用）

6. 2020-2032 年全球深度学习市场（依最终用户划分）

7. 2020-2032 年全球深度学习市场（按地区）

第八章竞争态势

第九章章节