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.