Report Content
Chapter 1 Methodology & Scope
1.1 Research design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates & calculations
1.2.1 Base year calculation
1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
1.4.1 Primary sources
1.4.2 Data mining sources
1.5 Market scope & definition
Chapter 2 Executive Summary
2.1 Industry 3600 synopsis, 2021 - 2034
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.1.1 Hardware providers
3.1.2 Software providers
3.1.3 Service providers
3.1.4 Technology providers
3.1.5 Cloud service providers
3.1.6 End users
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 End-user perception and trust in vertical AI
3.9 Impact forces
3.9.1 Growth drivers
3.9.1.1 Increasing demand for AI solutions tailored to industry-specific applications
3.9.1.2 Advancements in AI technologies
3.9.1.3 Strong investments from enterprises and governments in AI-driven transformation
3.9.1.4 Growing adoption of AI to improve operational efficiency and decision-making
3.9.2 Industry pitfalls & challenges
3.9.2.1 High costs and complexity of developing domain-specific AI solutions
3.9.2.2 Data privacy and compliance challenges
3.10 Growth potential analysis
3.11 Porter’s analysis
3.12 PESTEL analysis
Chapter 4 Competitive Landscape, 2024
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)
5.1 Key trends
5.2 Hardware
5.3 Software
5.4 Services
5.4.1 Professional services
5.4.2 Managed services
Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)
6.1 Key trends
6.2 On-premises
6.3 Cloud
6.4 Hybrid
Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2021 - 2034 ($Bn)
7.1 Key trends
7.2 Large enterprises
7.3 SMEs
Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)
8.1 Key trends
8.2 Machine learning
8.3 Deep learning
8.4 Natural language processing
8.5 Computer vision
8.6 Robotics
8.7 Others
Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)
9.1 Key trends
9.2 Healthcare
9.2.1 Clinical applications
9.2.2 Drug discovery & development
9.2.3 Medical imaging
9.2.4 Healthcare operations
9.3 BFSI
9.3.1 Banking
9.3.2 Investment & trading
9.3.3 Insurance
9.4 Manufacturing & Industrial
9.4.1 Production operations
9.4.2 Supply chain
9.4.3 Industrial IoT
9.5 Agriculture & farming
9.5.1 Crop management
9.5.2 Livestock management
9.5.3 Precision agriculture
9.6 Legal & Compliance
9.6.1 Legal research
9.6.2 Contract management
9.6.3 Regulatory compliance
9.7 Retail & e-commerce
9.7.1 Customer experience
9.7.2 Operations
9.7.3 Marketing & sales
9.8 Energy & Utilities
9.8.1 Power generation
9.8.2 Energy trading
9.8.3 Distribution
9.8.4 Renewable energy
9.9 Transportation & logistics
9.9.1 Fleet management
9.9.2 Supply chain
9.9.3 Infrastructure
9.10 Others
Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)
10.1 Key trends
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Italy
10.3.5 Spain
10.3.6 Russia
10.3.7 Nordics
10.4 Asia Pacific
10.4.1 China
10.4.2 India
10.4.3 Japan
10.4.4 Australia
10.4.5 South Korea
10.4.6 Southeast Asia
10.5 Latin America
10.5.1 Brazil
10.5.2 Mexico
10.5.3 Argentina
10.6 MEA
10.6.1 UAE
10.6.2 South Africa
10.6.3 Saudi Arabia
Chapter 11 Company Profiles
11.1 Atomwise
11.2 BenevolentAI
11.3 Blue River Technology
11.4 BlueDot
11.5 Bright Machines
11.6 Ceres Imaging
11.7 Databricks
11.8 Deep Genomics
11.9 Farmers Edge
11.10 Harvey AI
11.11 Insilico Medicine
11.12 Narrative Science
11.13 Nauto
11.14 Paige AI
11.15 Path AI
11.16 Recursion Pharmaceuticals
11.17 SenseTime
11.18 Tempus
11.19 Visiopharm
11.20 Zymergen
