Table of Content

1. INTRODUCTION
      1.1. Objective of the Study
      1.2. Market Definition
      1.3. Study Scope
              1.3.1. Markets Covered
              1.3.2. Geographic Scope
              1.3.3. Years Considered for the Study
      1.4. Currency
      1.5. Stakeholders
      1.6. Summary of Changes

2. RESEARCH METHODOLOGY
      2.1. Research Data
              2.1.1. Secondary Data
              2.1.2. Primary Data
      2.2. Market Size Estimation
              2.2.1. Bottom-Up Approach
              2.2.2. Top-Down Approach
      2.3. Market Breakdown and Data Triangulation
      2.4. Research Assumptions
      2.5. Risk Assessment
      2.6. Limitations

3. EXECUTIVE SUMMARY
      3.1. Speech and Voice Recognition Market: Post COVID-19
      3.2. Realistic Scenario
      3.3. Pessimistic Scenario
      3.4. Optimistic Scenario

4. PREMIUM INSIGHTS

5. MARKET OVERVIEW
      5.1. Introduction
      5.2. Market Dynamics
              5.2.1. Drivers
              5.2.2. Restraints
              5.2.3. Opportunities
              5.2.4. Challenges
      5.3. Value Chain Analysis
      5.4. Porter’s Five Forces Analysis
      5.5. Average Selling Pricing Analysis
      5.6. Trade Analysis
      5.7. Ecosystem Analysis
      5.8. Case Study Analysis
      5.9. Patent Analysis
      5.10. Technology Analysis
      5.11. Codes and Standards
      5.12. Tariff Analysis
      5.13. Regulatory Bodies, Government Agencies & Other Organizations
      5.14. Revenue Shift
      5.15. Key Conferences and Events in 2022-2023
      5.16. Key Stakeholder and buying and/or buying criteria
              5.16.1. Key Stakeholders in buying process
              5.16.2. Buying Criteria

6. SPEECH AND VOICE RECOGNITION MARKET, BY DELIVERY METHOD
      6.1. Introduction
      6.2. Artificial Intelligence – Based
      6.3. Non- Artificial Intelligence – Based

7. MARKET, BY TECHNOLOGY
      7.1. Introduction
      7.2. Voice Recognition
              7.2.1. Speaker Identification
              7.2.2. Speaker Verification
      7.3. Speech Recognition
              7.3.1. Multilingual Speech Recognition to Increase Scope of Applications
              7.3.2. Automatic Speech Recognition
              7.3.3. Text-to-Speech

8. SPEECH AND VOICE RECOGNITION MARKET, BY DEPLOYMENT MODE
      8.1. Introduction
      8.2. On Cloud
      8.3. On-Premises/Embedded

9. MARKET, BY VERTICAL
      9.1. Introduction
      9.2. Automotive
      9.3. Enterprises
      9.4. Consumer
      9.5. Banking, Financial Services and Insurance (BFSI)
      9.6. Government
      9.7. Retail
      9.8. Healthcare
      9.9. Military
      9.10. Legal
      9.11. Education
      9.12. Others

10. SPEECH AND VOICE RECOGNITION MARKET, BY GEOGRAPHY
       10.1. Introduction
       10.2. Americas
                10.2.1. US
                10.2.2. Canada
                10.2.3. Rest of Americas
       10.3. Europe
                10.3.1. UK
                10.3.2. Germany
                10.3.3. France
                10.3.4. Rest of Europe
       10.4. APAC
                10.4.1. Japan
                10.4.2. China
                10.4.3. India
                10.4.4. Rest of APAC
       10.5. Rest of the World (RoW)
                10.5.1. Middle East
                10.5.2. Africa

11. COMPETITIVE LANDSCAPE
       11.1. Introduction
       11.2. Top 5 Company Revenue Analysis
       11.3. Strategies adopted by key players
       11.4. Market Share Analysis
       11.5. Company Evaluation Matrix
                11.5.1. Star
                11.5.2. Pervasive
                11.5.3. Emerging Leaders
       11.6. Strength of Product Portfolio
       11.7. Business Strategy Excellence
       11.8. Small and Medium Enterprises (SME) Evaluation Quadrant
                11.8.1. Progressive Companies
                11.8.2. Responsive Companies
                11.8.3. Dynamic Companies
                11.8.4. Starting Blocks
       11.9. Competitive Situation And Trends
       11.10. Competitive Benchmarking

12. COMPANY PROFILE
       12.1. Introduction
       12.2. Key Companies
                12.2.1. Hexagon
                12.2.2. Faro Technologies
                12.2.3. Nikon Metrology
                12.2.4. Carl Zeiss
                12.2.5. Jenoptik
                12.2.6. Creaform
                12.2.7. KLA-Tencor
                12.2.8. Renishaw
                12.2.9. GOM
                12.2.10. Mitutoyo Corporation
       12.3. Other Players
                12.3.1. Precision Products
                12.3.2. Carmar Accuracy
                12.3.3. Baker Hughes
                12.3.4. CyberOptics
                12.3.5. Cairnhill Metrology
                12.3.6. Att Metrology Services
                12.3.7. SGS Group
                12.3.8. TriMet Group
                12.3.9. Automated Precision
                12.3.10. Applied Materials
                12.3.11. Perceptron
                12.3.12. JLM Advanced Technical Services
                12.3.13. Intertek
                12.3.14. Bruker
                12.3.15. Metrologic Group
                12.3.16. Speechmatics,
                12.3.17. DeepGram,
                12.3.18. Assembly.ai
                12.3.19. Verbit
                12.3.20. Voiceitt
                12.3.21. Otter.ai,
                12.3.22. Voicegain
                12.3.23. Sensory
                12.3.24. rev.com


13. Appendix
       13.1. Insights of Industry Experts
       13.2. Discussion Guide
       13.3. Knowledge Store: MarketsandMarkets’ Subscription Portal
       13.4. Available Customizations
       13.5. Related Reports
       13.6. Author Details

Note: This ToC is tentative and minor changes are possible as the study progresses.