Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Research Methodology
1.3. Research Scope & Assumption
1.4. Information Procurement
1.4.1. Purchased Database
1.4.2. GVR’s Internal Database
1.4.3. Secondary Sources & Third-Party Perspectives
1.4.4. Primary Research
1.5. Information Analysis
1.5.1. Data Analysis Models
1.6. Market Formulation & Data Visualization
1.7. Data Validation & Publishing
Chapter 2. Artificial Intelligence Market Intelligence
2.1. Category Definition
2.2. Category Intelligence
2.2.1. Market Size
2.2.2. Trends
2.2.3. Drivers
2.2.4. Challenges
2.2.5. Segmental Outlook
2.2.6. Regional Outlook
2.3. Technology
2.3.1. Emerging Technology
2.3.2. Best Practices in the Industry
2.4. Regulatory Landscape
2.5. Porter’s Five Forces Analysis
2.5.1. Bargaining power of suppliers
2.5.2. Bargaining power of buyers
2.5.3. Threat of substitutes
2.5.4. Threat of new entrants
2.5.5. Competitive rivalry
Chapter 3. Artificial Intelligence Market Supplier Intelligence
3.1. Identification of top 20 suppliers
3.1.1. Advanced Micro Devices Inc.
3.1.2. AiCure LLC
3.1.3. Amazon Web Services Inc.
3.1.4. Arm Limited
3.1.5. Atomwise Inc.
3.1.6. Avenga International GmbH (Ayasdi AI)
3.1.7. Baidu Inc.
3.1.8. Clarifai Inc.
3.1.9. Cyrcadia Health
3.1.10. Enlitic, Inc
3.1.11. Google LLC
3.1.12. H2O.ai, Inc.
3.1.13. HyperVerge
3.1.14. IBM Corporation
3.1.15. Intel Corporation
3.1.16. Iris AI AS
3.1.17. Microsoft Corporation Inc.
3.1.18. Nvidia Corporation
3.1.19. Sensely, Inc
3.1.20. Zebra Technologies Corporation
3.2. Artificial Intelligence Supply Chain Analysis
3.3. Artificial Intelligence Supplier Landscape
3.4. Artificial Intelligence Supplier Ranking Methodology
3.4.1. Supplier Operational Capabilities
3.4.1.1. Industries Served
3.4.1.2. Years in Service
3.4.1.3. Revenue Generated
3.4.1.4. Employee Strength
3.4.1.5. Geographic Service Provision
3.4.1.6. Certifications
3.4.1.7. Key Clients
3.4.2. Supplier Functional Capabilities
3.4.2.1. Reactive Machine
3.4.2.2. Limited Memory
3.4.2.3. Theory of Mind
3.4.2.4. Self-Aware
3.5. Artificial Intelligence Supplier Scoring Criteria
3.6. Artificial Intelligence Supplier Positional Matrix (SPM)
3.6.1. Rulers
3.6.2. Challengers
3.6.3. Loungers
3.6.4. Niches
3.7. Artificial Intelligence Supplier Market Concentration
3.7.1. Industry structure
3.8. Recommended Artificial Intelligence Suppliers
3.8.1. Supplier 1 with detailed profile
3.8.2. Supplier 2 with detailed profile
3.8.3. Supplier 3 with detailed profile
Chapter 4. Competitive Landscape
4.1. Recent Supplier Developments with Measured Impact
4.1.1. Joint Ventures
4.1.2. Mergers & Acquisitions
4.1.3. Collaborations or Partnerships
4.1.4. Other major developments
4.2. Supply-Demand Analysis
4.2.1. Supply Analysis
4.2.2. Demand Analysis
Chapter 5. Artificial Intelligence Pricing and Cost Intelligence
5.1. Cost Structure Overview
5.1.1. Data Processing & Management
5.1.2. Hardware
5.1.3. Labor
5.1.4. Software
5.1.5. Maintenance
5.1.6. Others
5.2. Artificial Intelligence App Development Costs by Various Industries
5.3. Estimated Costs of Building AI Systems by Complexity, USD, 2022
5.4. Pricing Intelligence
5.4.1. Factors Influencing the Prices for Artificial Intelligence
5.4.2. Pricing Model Analysis
5.4.2.1. Cost-plus pricing or,
5.4.2.2. Value-based pricing or,
5.4.2.3. Subscription-based pricing or,
5.4.2.4. Competition based pricing or,
5.4.2.5. Others
5.4.3. Artificial Intelligence Prices - Supplier’s Quotation
Chapter 6. Sourcing Intelligence
6.1. Engagement Model
6.1.1. Fully Outsourcing Model or,
6.1.2. Partial/Hybrid Outsourcing Model or,
6.1.3. In-house Product Development Model or,
6.1.4. Shared Service Model
6.2. Operating Model
6.2.1. Basic Provider or,
6.2.2. Approved Provider or,
6.2.3. Performance-based Model or,
6.2.4. Others
6.3. KPI/SLA Elements
6.4. Negotiation Strategies
6.5. LCC/BCC Sourcing Analysis
6.5.1. China
6.5.2. Germany
6.5.3. Japan
6.5.4. U.S.
6.5.5. U.K.
6.5.6. Insights on top 2 LCC/BCC Countries
Component wise cost break down for better negotiation for the client, highlights the key cost drivers in the market with future price fluctuation for different materials (e.g.: steel, aluminum, etc.) used in the production process
Offering cost transparency for different products / services procured by the client. A typical report involves 2-3 case scenarios helping clients to select the best suited engagement with the supplier
Determining and forecasting salaries for specific skill set labor to make decision on outsourcing vs in-house.
A typical newsletter study by capturing latest information for specific suppliers related to: M&As, technological innovations, expansion, litigations, bankruptcy etc.