세계의 딥러닝 시장 - 규모, 점유율, 성장 분석, 제공별, 용도별, 최종 사용자 산업별, 지역별 산업 예측(2024-2031년)

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