Chapter 1. AI in Genomics Market – Scope & Methodology
1.1. Market Segmentation
1.2. Assumptions
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. AI in Genomics Market – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.3. COVID-19 Impact Analysis
2.3.1. Impact during 2023 - 2030
2.3.2. Impact on Supply – Demand
Chapter 3. AI in Genomics Market – Competition Scenario
3.1. Market Share Analysis
3.2. Product Benchmarking
3.3. Competitive Strategy & Development Scenario
3.4. Competitive Pricing Analysis
3.5. Supplier - Distributor Analysis
Chapter 4. AI in Genomics Market Entry Scenario
4.1. Case Studies – Start-up/Thriving Companies
4.2. Regulatory Scenario - By Region
4.3 Customer Analysis
4.4. Porter's Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. AI in Genomics Market - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. AI in Genomics Market – By Services
6.1. Localization
6.2. Advertisement
6.3. Mapping
6.4. Update & Maintenance
Chapter 7. AI in Genomics Market – By Level of Automation
7.1. Semi-Autonomous (Level 2&3)
7.2. Autonomous (Level 4&5)
Chapter 8. AI in Genomics Market – By Solution
8.1. Embedded
8.2. Cloud-based
Chapter 9. AI in Genomics Market – By Vehicle type
9.1. Commercial Vehicles
9.2. Passenger Vehicles
Chapter10. AI in Genomics Market- By Region
10.1. North America
10.2. Europe
10.3. Asia-Pacific
10.4. Latin America
10.5. The Middle East
10.6. Africa
Chapter 11. AI in Genomics Market – key players
11.1 NVIDIA
11.2 Tomtom
11.3 DeepMap
11.4 Here Technologies
11.5 Navinfo
11.6 Civil Maps
11.7 Mapmyindia
11.8 Sanborn Map Company
11.9 Navmii
11.10 Autonavi
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