1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. US ARTIFICIAL INTELLIGENCE (AI) IN WORKFORCE AUTOMATION MARKET BY COMPONENT
5.1. Introduction
5.2. Software & Services
5.3. Hardware
6. US ARTIFICIAL INTELLIGENCE (AI) IN WORKFORCE AUTOMATION MARKET BY DEPLOYMENT
6.1. Introduction
6.2. On-Premises
6.3. Cloud-based
7. US ARTIFICIAL INTELLIGENCE (AI) IN WORKFORCE AUTOMATION MARKET BY SIZE OF ORGANISATION
7.1. Introduction
7.2. Small & Medium Enterprises
7.3. Large Enterprises
8. US ARTIFICIAL INTELLIGENCE (AI) IN WORKFORCE AUTOMATION MARKET BY INDUSTRY VERTICAL
8.1. Introduction
8.2. Healthcare
8.3. Retail
8.4. Manufacturing
8.5. Banking & Finance
8.6. Supply Chain
8.7. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Workday
10.2. Snorkel AI
10.3. Lateetud
10.4. AgilePoint
10.5. SoftSol
10.6. INTECH Process Automation
10.7. Clarifai
10.8. Sift Science
10.9. Blue River Technology
10.10. Labelbox
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES