1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
5.1. COVID-19 Landscape: Transfer Learning Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
8.1. Transfer Learning Market, by Learning Type
8.1.1 Fine-tuning (full/partial)
8.1.1.1. Market Revenue and Forecast
8.1.2. Feature Extraction / Frozen Layers Transfer
8.1.2.1. Market Revenue and Forecast
8.1.3. Domain Adaptation Transfer Learning
8.1.3.1. Market Revenue and Forecast
8.1.4. Multi-task / Meta-learning Transfer Approaches
8.1.4.1. Market Revenue and Forecast
9.1. Transfer Learning Market, by Component
9.1.1. Software Tools / Platforms
9.1.1.1. Market Revenue and Forecast
9.1.2. Services
9.1.2.1. Market Revenue and Forecast
10.1. Transfer Learning Market, by End-Use Industry
10.1.1. IT & Telecom
10.1.1.1. Market Revenue and Forecast
10.1.2. BFSI
10.1.2.1. Market Revenue and Forecast
10.1.3. Healthcare & Life Sciences
10.1.3.1. Market Revenue and Forecast
10.1.4. Retail & E-commerce
10.1.4.1. Market Revenue and Forecast
10.1.5. Manufacturing
10.1.5.1. Market Revenue and Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Learning Type
11.1.2. Market Revenue and Forecast, by Component
11.1.3. Market Revenue and Forecast, by End-Use Industry
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Learning Type
11.1.4.2. Market Revenue and Forecast, by Component
11.1.4.3. Market Revenue and Forecast, by End-Use Industry
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Learning Type
11.1.5.2. Market Revenue and Forecast, by Component
11.1.5.3. Market Revenue and Forecast, by End-Use Industry
11.2. Europe
11.2.1. Market Revenue and Forecast, by Learning Type
11.2.2. Market Revenue and Forecast, by Component
11.2.3. Market Revenue and Forecast, by End-Use Industry
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Learning Type
11.2.4.2. Market Revenue and Forecast, by Component
11.2.4.3. Market Revenue and Forecast, by End-Use Industry
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Learning Type
11.2.5.2. Market Revenue and Forecast, by Component
11.2.5.3. Market Revenue and Forecast, by End-Use Industry
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Learning Type
11.2.6.2. Market Revenue and Forecast, by Component
11.2.6.3. Market Revenue and Forecast, by End-Use Industry
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Learning Type
11.2.7.2. Market Revenue and Forecast, by Component
11.2.7.3. Market Revenue and Forecast, by End-Use Industry
11.3. APAC
11.3.1. Market Revenue and Forecast, by Learning Type
11.3.2. Market Revenue and Forecast, by Component
11.3.3. Market Revenue and Forecast, by End-Use Industry
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Learning Type
11.3.4.2. Market Revenue and Forecast, by Component
11.3.4.3. Market Revenue and Forecast, by End-Use Industry
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Learning Type
11.3.5.2. Market Revenue and Forecast, by Component
11.3.5.3. Market Revenue and Forecast, by End-Use Industry
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Learning Type
11.3.6.2. Market Revenue and Forecast, by Component
11.3.6.3. Market Revenue and Forecast, by End-Use Industry
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Learning Type
11.3.7.2. Market Revenue and Forecast, by Component
11.3.7.3. Market Revenue and Forecast, by End-Use Industry
11.4. MEA
11.4.1. Market Revenue and Forecast, by Learning Type
11.4.2. Market Revenue and Forecast, by Component
11.4.3. Market Revenue and Forecast, by End-Use Industry
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Learning Type
11.4.4.2. Market Revenue and Forecast, by Component
11.4.4.3. Market Revenue and Forecast, by End-Use Industry
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Learning Type
11.4.5.2. Market Revenue and Forecast, by Component
11.4.5.3. Market Revenue and Forecast, by End-Use Industry
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Learning Type
11.4.6.2. Market Revenue and Forecast, by Component
11.4.6.3. Market Revenue and Forecast, by End-Use Industry
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Learning Type
11.4.7.2. Market Revenue and Forecast, by Component
11.4.7.3. Market Revenue and Forecast, by End-Use Industry
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Learning Type
11.5.2. Market Revenue and Forecast, by Component
11.5.3. Market Revenue and Forecast, by End-Use Industry
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Learning Type
11.5.4.2. Market Revenue and Forecast, by Component
11.5.4.3. Market Revenue and Forecast, by End-Use Industry
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Learning Type
11.5.5.2. Market Revenue and Forecast, by Component
11.5.5.3. Market Revenue and Forecast, by End-Use Industry
12.1. Google
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Microsoft Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. NVIDIA Corporation
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Amazon Web Services
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. IBM Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Meta Platforms
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Hugging Face
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. H2O.ai
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Baidu
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. DataRobot
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
14.1. About Us
14.2. Glossary of Terms
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