Deep Learning Market Size, Share, Growth Analysis, By Offering (Hardware, Software), By Application, By End-User Industry, By Region - Industry Forecast 2024-2031
딥러닝 세계 시장 규모는 2022년에는 483억 7,000만 달러로 평가되었고, 2023년에는 641억 3,000만 달러, 2031년에는 6,121억 8,000만 달러로 성장해 예측 기간(2024-2031년)의 CAGR은 32.58%로 나타날 전망입니다.
딥러닝 시장은 컴퓨팅 능력 향상, 하드웨어 비용 저하, 클라우드 기반 기술의 급증으로 강력한 성장을 이루고 있습니다. 1일 당 약 2.5조 바이트의 데이터가 유입되고 있으며, 이를 관리하기 위해 기업은 보다 높은 처리 능력을 요구하게 되어 있습니다. 이 솔루션은 적응성과 확장성이 뛰어난 통찰력을 효율적으로 제공할 수 있는 큰 기회를 제공합니다. 비용 절감 AI 및 머신러닝의 하위 집합인 딥러닝은 인간의 인지 기능을 모방하여 고급 분류, 패턴 인식, 이미지 라벨링 및 음성 전송과 같은 작업의 자동화를 가능하게 합니다.
목차
소개
조사 방법
- 정보 조달
- 2차 데이터와 1차 데이터의 방법
- 시장 규모 예측
- 시장의 전제조건과 제한
주요 요약
- 세계 시장 전망
- 공급과 수요 동향 분석
- 부문별 기회 분석
시장 역학과 전망
- 시장 개요
- 시장 규모
- 시장 역학
- Porter's Five Forces 분석과 영향
- 경쟁 기업간 경쟁 관계
- 대체품의 위협
- 구매자의 협상력
- 신규 참가업체의 위협
- 공급기업의 협상력
주요 시장 인사이트
- 중요성공요인
- 경쟁도
- 주요 투자 기회
- 시장 생태계
- 시장의 매력 지수(2023년)
- PESTEL 분석
- 거시경제지표
- 밸류체인 분석
- 기술의 진보
- 규제 상황
- 사례 연구
- 고객과 구매 기준 분석
딥러닝 시장 규모 : 제공별 & CAGR(2024-2031)
- 시장 개요
- 하드웨어
- 프로세서
- 그래픽 프로세서
- 프로그래머블 로직
- CPU
- 기타(TPU, DPU, VPU, BPU, IPU)
- 메모리
- 네트워크
- 소프트웨어
- 솔루션(소프트웨어 프레임워크/SDK)
- 플랫폼/API
- 서비스
딥러닝 시장 규모 : 용도별 & CAGR(2024-2031)
- 시장 개요
- 영상 인식
- 신호 인식
- 데이터 마이닝
- 기타(레코멘데이션 시스템과 창약)
딥러닝 시장 규모 : 최종 사용자 산업별 & CAGR(2024-2031)
- 시장 개요
- 헬스케어
- 환자 데이터와 위험 분석
- 라이프스타일 관리 및 모니터링
- 정밀의료
- 입원 환자의 케어와 병원 관리
- 의료 화상 진단
- 창약
- 가상 어시스턴트
- 웨어러블
- 조사
- 제조업
- 물자의 이동
- 예지보전과 기계검사
- 생산계획
- 필드 서비스
- 개척
- 품질관리
- 자동차
- 농업
- 정밀농업
- 가축 모니터링
- 드론 분석
- 농업 로봇
- 기타
- 소매
- 제품 추천 및 계획
- 고객관계관리
- 비주얼 검색
- 가상 어시스턴트
- 가격 최적화
- 결제 서비스 관리
- 공급망 관리 및 수요 계획
- 기타
- 보안
- 아이덴티티와 액세스 관리
- 리스크와 컴플라이언스 관리
- 암호화
- 데이터 유출 방지
- 통합 위협 관리
- 안티바이러스/악성코드 대책
- 침입 감지/방지 시스템
- 기타(방화벽, 분산형 서비스 거부(DDoS), 재해 복구)
- 인사
- 가상 어시스턴트
- 감정 분석
- 그룹 미팅 및 인터뷰 일정 설정
- 개별화된 학습과 개발
- 응모자의 추적과 평가
- 직원 인게이지먼트
- 이력서 분석
- 마케팅
- 소셜 미디어 광고
- 검색 광고
- 다이나믹 프라이싱
- 가상 어시스턴트
- 컨텐츠 큐레이션
- 판매 및 마케팅 자동화
- 분석 플랫폼
- 기타(웹사이트 디자인과 감정 측정)
- 법
- 전자 정보 공개
- 법률조사
- 계약 분석
- 케이스 예측
- 컴플라이언스
- 기타(지적 재산, 전자 청구, 지식 관리)
- Fintech
- 가상 어시스턴트
- 비즈니스 분석 및 보고서
- 고객 행동 분석
- 기타(시장 조사, 광고, 마케팅 캠페인)
딥러닝 시장 규모 : 지역별 & CAGR(2024-2031)
- 북미
- 유럽
- 아시아태평양
- 라틴아메리카
- 중동 및 아프리카
- GCC 국가
- 남아프리카
- 기타 중동 및 아프리카
경쟁 정보
- 상위 5개사 비교
- 주요 기업의 시장 포지셔닝(2023년)
- 주요 시장 기업이 채용한 전략
- 시장의 최근 동향
- 기업의 시장 점유율 분석(2023년)
- 주요 기업의 기업 프로파일
- 기업 개요
- 제품 포트폴리오 분석
- 부문별 점유율 분석
- 수익의 전년대비 비교(2021-2023)
주요 기업 프로파일
- 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.
결론과 권장사항
JHS
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)
- 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
