首頁 > 市場調查報告書 > 通訊

人工智能 DL/ML

深度學習市場規模、佔有率和成長分析（按交付類型、應用、最終用戶產業和地區分類）－2026-2033年產業預測

市場調查報告書

商品編碼

1907629

深度學習市場規模、佔有率和成長分析（按交付類型、應用、最終用戶產業和地區分類）－2026-2033年產業預測

Deep Learning Market Size, Share, and Growth Analysis, By Offering (Hardware, Software), By Application, By End-User Industry, By Region - Industry Forecast 2026-2033

出版日期: 2025年12月17日 | 出版商:

SkyQuest | 英文 193 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計到 2024 年，深度學習市場規模將達到 850.2 億美元，到 2025 年將成長至 1,127.2 億美元，到 2033 年將成長至 10,760.7 億美元，在預測期（2026-2033 年）內複合年成長率為 32.58%。

深度學習市場正經歷顯著成長，這主要得益於運算能力的提升、硬體成本的下降以及雲端技術的廣泛應用。企業對高階處理能力的需求日益成長，而物聯網 (IoT) 設備在各行各業的普及進一步加速了市場的擴張。隨著每天產生的數據量爆炸性成長，深度學習解決方案能夠幫助企業有效地獲取自適應且擴充性的洞察。此外，雲端分析提供了一套全面的工具，可以簡化從大型資料集中資料提取，從而顯著降低基礎設施和營運成本。深度學習是人工智慧和機器學習的一個分支，它模擬人類的認知功能，能夠有效率地進行分類、模式識別，並自動化執行通常需要人類智慧才能完成的任務，例如影像標註和語音轉錄。

深度學習市場促進因素

深度學習市場在醫療保健領域正經歷著強勁的發展勢頭，它被用於提高診斷準確率和開發個人化治療策略。醫療機構正擴大採用深度學習演算法來分析醫學影像，例如核磁共振成像（MRI）和電腦斷層掃描），從而實現癌症等疾病的早期檢測。這一趨勢表明，人們越來越認知到深度學習的潛力，它可以透過提高診斷準確率和提供客製化治療來革新患者照護。隨著這些功能的不斷發展，深度學習在醫療保健領域的應用預計將更加廣泛。

深度學習市場限制因素

深度學習市場由於依賴巨量資料作為訓練資料集而面臨諸多限制。雖然這帶來了競爭優勢，但缺乏可靠且充足的數據卻對整個系統構成重大障礙。大量高品質數據對於建立穩健的數據模型至關重要。由於資源匱乏，取得和收集這些關鍵數據面臨許多挑戰，阻礙了深度學習應用的開發和部署。這種限制因素會抑制市場的發展和創新，凸顯了提高數據可用性和品質對於提升深度學習能力的重要性。

深度學習市場趨勢

深度學習市場正呈現強勁成長勢頭，主要得益於其對製造業的變革性影響。各公司正加速採用深度學習演算法來改善工業流程，從而實現前所未有的精準度和效率。這項技術正在革新預測性維護，使機器能夠自主預測維修需求，最大限度地減少停機時間，並顯著提高生產效率。隨著製造商尋求最佳化營運績效並利用數據驅動的洞察，深度學習正成為其策略舉措的重要組成部分。這一趨勢反映了向自動化和智慧製造的更廣泛轉變，並將深度學習定位為工業領域創新的基石。

衛生保健
- 患者資料風險分析
- 生活方式管理和監測
- 精準醫療
- 住院醫療護理和醫院管理
- 醫學影像與診斷
- 藥物發現
- 虛擬助手
- 穿戴式裝置
- 研究
製造業
- 物質運動
- 預測性維護和機器檢查
- 生產計畫
- 現場服務
- 生殖
- 品管
車
- 自動駕駛
- 人機介面
- 半自動駕駛
農業
- 精密農業
- 牲畜監測
- 無人機分析
- 農業機器人
- 其他
零售
- 產品推薦和方案
- 客戶關係管理
- 視覺搜尋
- 虛擬助手
- 價格最佳化
- 支付服務管理
- 供應鏈管理與需求計劃
- 其他
安全
- 身分和存取管理
- 風險與合規管理
- 加密
- 預防資料外泄
- 統一威脅管理
- 防毒/反惡意軟體
- 入侵偵測/防禦系統
- 其他（防火牆、分散式阻斷服務 (DDoS) 攻擊、災害復原）
人力資源
- 虛擬助手
- 情緒分析
- 安排小組會議和麵試
- 個別化學習與發展
- 申請人追蹤與評估
- 員工敬業度
- 履歷分析
行銷
- 社群媒體廣告
- 搜尋廣告
- 動態定價
- 虛擬助手
- 內容策劃
- 銷售和行銷自動化
- 分析平台
- 其他（網站設計和情感分析）
法律
- 電子取證
- 法律研究
- 合約分析
- 預測法律先例
- 遵守
- 其他（智慧財產權、電子帳單、知識管理）
金融科技
- 虛擬助手
- 商業分析與報告
- 客戶行為分析
- 其他（研究、廣告、行銷宣傳活動）

全球深度學習市場規模（按地區分類）及複合年成長率（2026-2033 年）

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 法國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2021-2023年營收年比比較

主要企業簡介

Google LLC
Microsoft Corporation
IBM Corporation
Amazon Web Services（AWS）
NVIDIA Corporation
Intel Corporation
Meta Platforms（Facebook）
Qualcomm Inc.
Micron Technology
Samsung Electronics
H2O.ai
Dataiku
KNIME
Pathmind
Sensory Inc.
Baidu
OpenAI
Cerebras Systems
Graphcore
SAS Institute Inc.

結論與建議

簡介目錄

Product Code: SQMIG45F2165

Deep Learning Market size was valued at USD 85.02 Billion in 2024 and is poised to grow from USD 112.72 Billion in 2025 to USD 1076.07 Billion by 2033, growing at a CAGR of 32.58% during the forecast period (2026-2033).

The deep learning market is experiencing significant growth driven by enhancements in computational power, decreasing hardware costs, and the increasing adoption of cloud-based technologies. Organizations are increasingly seeking advanced processing capabilities, while the proliferation of Internet of Things (IoT) devices across various sectors further propels market expansion. With an enormous volume of data generated daily, deep learning solutions offer organizations the ability to derive adaptive and scalable insights efficiently. Additionally, cloud analytics provides a comprehensive suite of tools that streamline data extraction from large datasets, significantly reducing infrastructure and operational costs. As a branch of artificial intelligence and machine learning, deep learning emulates human cognitive functions, enabling efficient classification, pattern recognition, and automation of tasks that typically require human intelligence, such as image labeling and audio transcription.

Top-down and bottom-up approaches were used to estimate and validate the size of the Deep Learning market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Deep Learning Market Segments Analysis

Global Deep Learning Market is segmented by Offering, Application, End-User Industry and region. Based on Offering, the market is segmented into Hardware (Processor, Memory, Network), Software (Solution, Platform/API), Services (Installation, Training, Support & Maintenance). Based on Application, the market is segmented into Image Recognition, Signal Recognition, Data Mining, Others (Recommender System, Drug Discovery). Based on End-User Industry, the market is segmented into Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing, Law, and Fintech. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Deep Learning Market

The deep learning market is experiencing significant momentum in the healthcare sector, where it is being utilized to enhance diagnostic precision and develop personalized treatment strategies. Healthcare organizations are increasingly adopting deep learning algorithms to analyze medical imaging, such as MRI and CT scans, enabling early detection of diseases like cancer. This trend underscores a growing recognition of deep learning's potential to revolutionize patient care through improved accuracy in diagnostics and the ability to provide treatments tailored to individual patient needs. As these capabilities continue to evolve, the integration of deep learning into healthcare practices is expected to become more widespread.

Restraints in the Deep Learning Market

The deep learning market faces a significant constraint due to the reliance on big data for training datasets, which provides a competitive edge. However, the scarcity of reliable and ample data presents a considerable obstacle for the overall system. A robust data model necessitates a significant volume of quality data to operate effectively. Challenges in sourcing and gathering this essential data arise from insufficient available resources, hindering the development and deployment of deep learning applications. This limitation can impede progress and innovation within the market, underscoring the critical need for improved data availability and quality to enhance deep learning capabilities.

Market Trends of the Deep Learning Market

The deep learning market is witnessing a robust trend driven by its transformative impact on the manufacturing sector. Companies are increasingly adopting deep learning algorithms to enhance industrial processes, achieving unprecedented levels of accuracy and efficiency. This technology is revolutionizing predictive maintenance, enabling machines to autonomously forecast repair needs, thereby minimizing downtime and significantly boosting production. As manufacturers seek to optimize operational performance and harness data-driven insights, deep learning is becoming integral to their strategic initiatives. This trend reflects a broader shift towards automation and smart manufacturing, positioning deep learning as a cornerstone of innovation in the industrial landscape.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Driver & Opportunities
- Restraints & Challenges
Porters Analysis & Impact
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2025
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Technological Advancement
Regulatory Landscape
Case Studies
Customer & Buying Criteria Analysis

Global Deep Learning Market Size by Offering & CAGR (2026-2033)

Market Overview
Hardware
- Processor
- GPU
- FPGA
- CPU
- Others (TPU, DPU, VPU, BPU, and IPU)
- Memory
- Network
Software
- Solution (Software Framework/SDK)
- Platform/API
Services
- Installation
- Training
- Support & Maintenance

Global Deep Learning Market Size by Application & CAGR (2026-2033)

Market Overview
Image Recognition
Signal Recognition
Data Mining
Others (Recommender System and Drug Discovery)

Global Deep Learning Market Size by End-User Industry & CAGR (2026-2033)

Market Overview
Healthcare
- Patient Data & Risk Analysis
- Lifestyle Management & Monitoring
- Precision Medicine
- Inpatient Care & Hospital Management
- Medical Imaging & Diagnostics
- Drug Discovery
- Virtual Assistant
- Wearables
- Research
Manufacturing
- Material Movement
- Predictive Maintenance and Machinery Inspection
- Production Planning
- Field Services
- Reclamation
- Quality Control
Automotive
- Autonomous Driving
- Human-Machine Interface
- Semiautonomous Driving
Agriculture
- Precision Farming
- Livestock Monitoring
- Drone Analytics
- Agricultural Robots
- Others
Retail
- Product Recommendation and Planning
- Customer Relationship Management
- Visual Search
- Virtual Assistant
- Price Optimization
- Payment Services Management
- Supply Chain Management and Demand Planning
- Others
Security
- Identity and Access Management
- Risk and Compliance Management
- Encryption
- Data Loss Prevention
- Unified Threat Management
- Antivirus/Antimalware
- Intrusion Detection/Prevention Systems
- Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)
Human Resources
- Virtual Assistant
- Sentiment Analysis
- Scheduling Group Meetings and Interviews
- Personalized Learning and Development
- Applicant Tracking & Assessment
- Employee Engagement
- Resume Analysis
Marketing
- Social Media Advertising
- Search Advertising
- Dynamic Pricing
- Virtual Assistant
- Content Curation
- Sales & Marketing Automation
- Analytics Platform
- Others (Website Design and Emotion Measurement)
Law
- eDiscovery
- Legal Research
- Contract Analysis
- Case Prediction
- Compliance
- Others (Intellectual Property, e-Billing, Knowledge Management)
Fintech
- Virtual Assistant
- Business Analytics & Reporting
- Customer Behavior Analytics
- Others (Market Research, Advertising, Market Campaign)

Global Deep Learning Market Size & CAGR (2026-2033)

North America, (Offering, Application, End-User Industry)
- US
- Canada
Europe, (Offering, Application, End-User Industry)
- UK
- Germany
- Spain
- France
- Italy
- Rest of Europe
Asia-Pacific, (Offering, Application, End-User Industry)
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
Latin America, (Offering, Application, End-User Industry)
- Brazil
- Rest of Latin America
Middle East & Africa, (Offering, Application, End-User Industry)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

Google LLC
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Meta Platforms (Facebook)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qualcomm Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Micron Technology
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Samsung Electronics
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
H2O.ai
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Dataiku
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
KNIME
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Pathmind
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Sensory Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baidu
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
OpenAI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cerebras Systems
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Graphcore
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAS Institute Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments