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市場調查報告書
商品編碼
1614944

深度學習市場規模、佔有率、成長分析,按產品、按應用、按最終用戶行業、按地區 - 行業預測,2024-2031 年

Deep Learning Market Size, Share, Growth Analysis, By Offering (Hardware, Software), By Application, By End-User Industry, By Region - Industry Forecast 2024-2031

出版日期: | 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

2022年全球深度學習市場規模為483.7億美元,2023年將成長至641.3億美元,2031年將成長至6121.8億美元,預計2024-2031年複合年成長率為32.58%。

由於運算能力的提高、硬體成本的降低以及雲端基礎的技術的普及,深度學習市場正在經歷強勁的成長。物聯網 (IoT) 設備在各個領域的激增導致每天約 2.5 兆位元組的資料湧入,企業需要更多的處理能力來管理這些資料。這種龐大的資料環境為深度學習解決方案提供了巨大的機會,可以有效地提供自適應和擴充性的見解。此外,雲端分析簡化了從大型資料集集中提取關鍵資訊的過程,從而降低了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子集,它模仿人類認知功能,並實現高級分類、模式識別以及圖像標記和音訊轉錄等任務的自動化。

目錄

介紹

  • 研究目的
  • 調查範圍
  • 定義

調查方法

  • 資訊採購
  • 二手資料和主要資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 按細分市場的機會分析

市場動態及展望

  • 市場概況
  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制因素和挑戰
  • 波特分析及影響
    • 競爭公司之間的敵對關係
    • 替代品的威脅
    • 買方議價能力
    • 新進入者的威脅
    • 供應商的議價能力

主要市場考察

  • 關鍵成功因素
  • 競爭程度
  • 主要投資機會
  • 市場生態系統
  • 市場吸引力指數(2023)
  • PESTEL分析
  • 總體經濟指標
  • 價值鏈分析
  • 技術進步
  • 監管環境
  • 案例研究
  • 客戶和購買標準分析

深度學習市場規模:依報價及複合年成長率(2024-2031)

  • 市場概況
  • 硬體
    • 處理器
    • 圖形處理器
    • 可程式邏輯
    • CPU
    • 其他(TPU、DPU、VPU、BPU、IPU)
    • 記憶
    • 網路
  • 軟體
    • 解決方案(軟體框架/SDK)
    • 平台/API
  • 服務
    • 安裝
    • 訓練
    • 支援與維護

深度學習市場規模:按應用和複合年成長率(2024-2031)

  • 市場概況
  • 影像識別
  • 訊號識別
  • 資料探勘
  • 其他(建議系統和藥物發現)

深度學習市場規模:依最終用戶產業及複合年成長率(2024-2031)

  • 市場概況
  • 衛生保健
    • 患者資料和風險分析
    • 生活方式管理和監控
    • 精準醫療
    • 住院護理和醫院管理
    • 醫學影像診斷
    • 藥物發現
    • 虛擬助理
    • 穿戴式的
    • 調查
  • 製造業
    • 貨物流動
    • 預測性維護和機器檢查
    • 生產計畫
    • 現場服務
    • 發展
    • 品管
    • 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
    • 產品推薦與規劃
    • 客戶關係管理
    • 視覺搜尋
    • 虛擬助理
    • 價格最佳化
    • 付款服務管理
    • 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/預防系統
    • 其他(防火牆、分散式阻斷服務 (DDoS)、災害復原)
  • 人力資源
    • 虛擬助理
    • 情緒分析
    • 安排小組會議和訪談
    • 個人化學習與發展
    • 申請人追蹤和評估
    • 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
    • 虛擬助理
    • 內容策展
    • 銷售和行銷自動化
    • 分析平台
    • 其他(網站設計和情緒測量)
  • 法律
    • 電子訊息披露
    • 法律研究
    • 合約分析
    • 病例預測
    • 遵守
    • 其他(智慧財產權、電子帳單、知識管理)
  • 金融科技
    • 虛擬助理
    • 業務分析和報告
    • 客戶行為分析
    • 其他(市場研究、廣告、行銷宣傳活動)

深度學習市場規模:按地區及複合年成長率(2024-2031)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 西班牙
    • 法國
    • 義大利
    • 其他歐洲國家地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他亞太地區
  • 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/非洲

競爭資訊

  • 前5名企業對比
  • 主要企業市場定位(2023年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市場佔有率分析(2023)
  • 主要企業簡介
    • 公司簡介
    • 產品系列分析
    • 按細分市場分類的佔有率分析
    • 收益與前一年同期比較(2021-2023)

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.

結論和建議

簡介目錄
Product Code: SQMIG45F2165

Global Deep Learning Market size was valued at USD 48.37 Billion in 2022 and is poised to grow from USD 64.13 Billion in 2023 to USD 612.18 Billion by 2031, growing at a CAGR of 32.58% in the forecast period (2024-2031).

The deep learning market is experiencing robust growth, driven by enhanced computational capabilities, decreasing hardware costs, and a surge in cloud-based technologies. Organizations are increasingly demanding higher processing power to manage the influx of data-approximately 2.5 quintillion bytes daily-fuelled by the proliferation of Internet of Things (IoT) devices across various sectors. This expansive data landscape presents substantial opportunities for deep learning solutions to offer adaptive and scalable insights efficiently. Additionally, cloud analytics streamlines the extraction of critical information from large datasets while reducing infrastructure and operational costs. Deep learning, a subset of AI and machine learning, mimics human cognitive functions, enabling advanced classification, pattern recognition, and automation of tasks such as image labeling and audio transcription.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global 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.

Global Deep Learning Market Segmental 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 & Africa.

Driver of the Global Deep Learning Market

One of the primary drivers of the Global Deep Learning market is its increasing adoption in the healthcare sector. Deep learning technologies are rapidly transforming this industry by enhancing diagnostic precision and enabling personalized treatment strategies. Healthcare providers are increasingly implementing deep learning algorithms to scrutinize medical imaging, such as MRI and CT scans, allowing for the early detection of diseases like cancer. This trend towards utilizing advanced algorithms revolutionizes patient care, making diagnostics more accurate and efficient. As a result, the healthcare industry's focus on integrating deep learning solutions is significantly contributing to the growth of the Global Deep Learning market.

Restraints in the Global Deep Learning Market

One of the significant restraints affecting the Global Deep Learning market is its limited integration with big data. Deep learning relies heavily on extensive and reliable data sets for training, which enhances its performance. However, the scarcity of adequate, trustworthy data can hinder the effectiveness of deep learning systems. For these data models to operate optimally, they require a substantial volume of information. Unfortunately, the difficulty in gathering these vital resources poses a challenge to the entire deep learning ecosystem, impeding advancements and limiting the potential for innovation within the market.

Market Trends of the Global Deep Learning Market

The Global Deep Learning market is witnessing a significant trend as the manufacturing sector increasingly adopts advanced deep learning technologies to enhance operational efficiency and precision. By leveraging sophisticated algorithms for predictive maintenance, manufacturers can proactively identify potential machine failures, thereby minimizing downtime and optimizing production schedules. This shift not only accelerates manufacturing processes but also reduces operational costs, leading to a highly competitive environment. As companies strive for greater automation and innovation, the integration of deep learning in manufacturing is set to reshape industry standards, driving substantial growth in the global deep learning market over the coming years.

Table of Contents

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, 2023
  • 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 (2024-2031)

  • 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 (2024-2031)

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

Global Deep Learning Market Size by End-User Industry & CAGR (2024-2031)

  • 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 (2024-2031)

  • 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, 2023
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2023
  • 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

Conclusion & Recommendation