封面
市场调查报告书
商品编码
1614944

深度学习市场规模、份额、成长分析,按产品、按应用、按最终用户行业、按地区 - 行业预测,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个工作天内

价格
简介目录

2022年全球深度学习市场规模为483.7亿美元,2023年将成长至641.3亿美元,2031年将成长至6121.8亿美元,预计2024-2031年复合年增长率为32.58%。

由于运算能力的提高、硬体成本的降低以及云端基础的技术的普及,深度学习市场正在经历强劲的成长。物联网 (IoT) 设备在各个领域的激增导致每天约 2.5 兆位元组的资料涌入,企业需要更多的处理能力来管理这些资料。这种庞大的资料环境为深度学习解决方案提供了巨大的机会,可以有效地提供自适应和扩充性的见解。此外,云端分析简化了从大型资料集集中提取关键资讯的过程,从而降低了基础设施和营运成本。深度学习是人工智慧和机器学习的一个子集,它模仿人类认知功能,并实现高级分类、模式识别以及图像标记和音讯转录等任务的自动化。

目录

介绍

  • 研究目的
  • 调查范围
  • 定义

调查方法

  • 资讯采购
  • 二手资料和主要资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场概况
  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制因素和挑战
  • 波特分析及影响
    • 竞争公司之间的敌对关係
    • 替代品的威胁
    • 买方议价能力
    • 新进入者的威胁
    • 供应商的议价能力

主要市场考察

  • 关键成功因素
  • 竞争程度
  • 主要投资机会
  • 市场生态系统
  • 市场吸引力指数(2023)
  • PESTEL分析
  • 总体经济指标
  • 价值链分析
  • 技术进步
  • 监管环境
  • 案例研究
  • 客户和购买标准分析

深度学习市场规模:依报价及复合年增长率(2024-2031)

  • 市场概况
  • 硬体
    • 处理器
    • 图形处理器
    • 可程式逻辑
    • CPU
    • 其他(TPU、DPU、VPU、BPU、IPU)
    • 记忆
    • 网路
  • 软体
    • 解决方案(软体框架/SDK)
    • 平台/API
  • 服务
    • 安装
    • 训练
    • 支援与维护

深度学习市场规模:按应用和复合年增长率(2024-2031)

  • 市场概况
  • 影像识别
  • 讯号识别
  • 资料探勘
  • 其他(建议系统和药物发现)

深度学习市场规模:依最终用户产业及复合年增长率(2024-2031)

  • 市场概况
  • 卫生保健
    • 患者资料和风险分析
    • 生活方式管理和监控
    • 精准医疗
    • 住院护理和医院管理
    • 医学影像诊断
    • 药物发现
    • 虚拟助理
    • 穿戴式的
    • 调查
  • 製造业
    • 货物流动
    • 预测性维护和机器检查
    • 生产计画
    • 现场服务
    • 发展
    • 品管
    • 自动驾驶
    • 人机介面
    • 半自动驾驶
  • 农业
    • 精密农业
    • 牲畜监测
    • 无人机分析
    • 农业机器人
    • 其他的
  • 零售
    • 产品推荐与规划
    • 客户关係管理
    • 视觉搜寻
    • 虚拟助理
    • 价格优化
    • 付款服务管理
    • 供应链管理与需求计划
    • 其他的
  • 安全
    • 身分和存取管理
    • 风险与合规管理
    • 加密
    • 预防资料外泄
    • 统一威胁管理
    • 防毒/反恶意软体
    • 入侵侦测/预防系统
    • 其他(防火墙、分散式阻断服务 (DDoS)、灾害復原)
  • 人力资源
    • 虚拟助理
    • 情绪分析
    • 安排小组会议和访谈
    • 个人化学习与发展
    • 申请人追踪和评估
    • 员工敬业度
    • 履历分析
  • 行销
    • 社群媒体广告
    • 搜寻广告
    • 动态定价
    • 虚拟助理
    • 内容策展
    • 销售和行销自动化
    • 分析平台
    • 其他(网站设计和情绪测量)
  • 法律
    • 电子讯息披露
    • 法律研究
    • 合约分析
    • 病例预测
    • 遵守
    • 其他(智慧财产权、电子帐单、知识管理)
  • 金融科技
    • 虚拟助理
    • 业务分析和报告
    • 客户行为分析
    • 其他(市场研究、广告、行销宣传活动)

深度学习市场规模:按地区及复合年增长率(2024-2031)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 西班牙
    • 法国
    • 义大利
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲

竞争资讯

  • 前5名企业对比
  • 主要企业市场定位(2023年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市场占有率分析(2023)
  • 主要企业简介
    • 公司简介
    • 产品系列分析
    • 按细分市场分類的份额分析
    • 收益与前一年同期比较(2021-2023)

主要企业简介

  • 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.

结论和建议

简介目录
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