United States Speech Recognition Software 麻豆原创 Insights, Forecast to 2029

Publication ID:

PB502232293

Publication Date:

February 24, 2023

Pages:

Publisher:

MRRPB5

Countries:

USA [1]

USD 3,400.00

IT Services [2]

Computing & Electronics [3]

Description:

United States Speech Recognition Software 麻豆原创 Insights, Forecast to 2029
The key companies of Speech Recognition Software in United States include Amazon Transcribe, Nuance Dragon, Deepgram, Google Cloud, Microsoft Azure, AssemblyAI, Picovoice, Voicegain, and IBM Watson, etc. In 2022, the top five players in United States had a share approximately xx % in terms of revenue.

Report Includes
This report presents an overview of United States market for Speech Recognition Software market size. Analyses of the United States market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report focuses on the Speech Recognition Softwarerevenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the United States Speech Recognition Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for Speech Recognition Software revenue, projected growth trends, production technology, application and end-user industry.

Segment by Type:
厂辫别补办别谤鈥揇别辫别苍诲别苍迟
厂辫别补办别谤鈥揑苍诲别辫别苍诲别苍迟

Segment By Application
Retail
Healthcare
Financial
Others

Key companies covered in this report:
Amazon Transcribe
Nuance Dragon
Deepgram
Google Cloud
Microsoft Azure
AssemblyAI
Picovoice
Voicegain
IBM Watson

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview 1
1.1 Study Scope 1
1.2 麻豆原创 Analysis by Type 1
1.2.1 United States Speech Recognition Software 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029 1
1.2.2 厂辫别补办别谤鈥揇别辫别苍诲别苍迟 3
1.2.3 厂辫别补办别谤鈥揑苍诲别辫别苍诲别苍迟 3
1.3 麻豆原创 by Application 4
1.3.1 United States Speech Recognition Software 麻豆原创 Share by Application: 2018 VS 2022 VS 2029 4
1.3.2 Retail 6
1.3.3 Healthcare 6
1.3.4 Financial 6
1.4 Assumptions and Limitations 6
1.5 Study Objectives 7
1.6 Years Considered 8
2 United States Growth Trends 9
2.1 United States Speech Recognition Software 麻豆原创 Perspective (2018-2029) 9
2.2 Speech Recognition Software 麻豆原创 Dynamics 10
2.2.1 Speech Recognition Software Industry Trends 10
2.2.2 Speech Recognition Software 麻豆原创 Drivers 11
2.2.3 Speech Recognition Software 麻豆原创 Challenges 11
2.2.4 Speech Recognition Software 麻豆原创 Restraints 12
3 Competition Landscape by Key Players 13
3.1 Global Revenue Speech Recognition Software by Players 13
3.1.1 United States Speech Recognition Software Revenue by Players (2018-2023) 13
3.1.2 United States Speech Recognition Software Revenue 麻豆原创 Share by Players (2018-2023) 15
3.2 United States Speech Recognition Software 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3) 18
3.3 United States of Speech Recognition Software, Ranking by Revenue, 2021 VS 2022 VS 2023 20
3.4 United States Speech Recognition Software 麻豆原创 Concentration Ratio 21
3.4.1 United States Speech Recognition Software 麻豆原创 Concentration Ratio (CR5 and HHI) 21
3.4.2 United States Top 10 and Top 5 Companies by Speech Recognition Software Revenue in 2022 22
3.5 United States of Speech Recognition Software Head office and Area Served 22
3.6 United States of Speech Recognition Software, Product and Application 24
3.7 United States of Speech Recognition Software, Date of Enter into This Industry 27
3.8 Mergers & Acquisitions, Expansion Plans 29
4 Speech Recognition Software Breakdown Data by Type 30
4.1 United States Speech Recognition Software Historic 麻豆原创 Size by Type (2018-2023) 30
4.2 United States Speech Recognition Software Forecasted 麻豆原创 Size by Type (2024-2029) 31
5 Speech Recognition Software Breakdown Data By Application 33
5.1 United States Speech Recognition Software Historic 麻豆原创 Size By Application (2018-2023) 33
5.2 United States Speech Recognition Software Forecasted 麻豆原创 Size By Application (2024-2029) 34
6 Key Players Profiles 36
6.1 Amazon Transcribe 36
6.1.1 Amazon Transcribe Company Details 36
6.1.2 Amazon Transcribe Business Overview 36
6.1.3 Amazon Transcribe Speech Recognition Software Introduction 37
6.1.4 Amazon Transcribe in United States: Revenue in Speech Recognition Software Business (2018-2023) 37
6.1.5 Amazon Transcribe Recent Development 37
6.2 Nuance Dragon 38
6.2.1 Nuance Dragon Company Details 38
6.2.2 Nuance Dragon Business Overview 38
6.2.3 Nuance Dragon Speech Recognition Software Introduction 39
6.2.4 Nuance Dragon in United States: Revenue in Speech Recognition Software Business (2018-2023) 39
6.2.5 Nuance Dragon Recent Development 39
6.3 Deepgram 40
6.3.1 Deepgram Company Details 40
6.3.2 Deepgram Business Overview 40
6.3.3 Deepgram Speech Recognition Software Introduction 41
6.3.4 Deepgram in United States: Revenue in Speech Recognition Software Business (2018-2023) 41
6.3.5 Deepgram Recent Development 41
6.4 Google Cloud 42
6.4.1 Google Cloud Company Details 42
6.4.2 Google Cloud Business Overview 42
6.4.3 Google Cloud Speech Recognition Software Introduction 43
6.4.4 Google Cloud in United States: Revenue in Speech Recognition Software Business (2018-2023) 43
6.4.5 Google Cloud Recent Development 43
6.5 Microsoft Azure 44
6.5.1 Microsoft Azure Company Details 44
6.5.2 Microsoft Azure Business Overview 44
6.5.3 Microsoft Azure Speech Recognition Software Introduction 45
6.5.4 Microsoft Azure in United States: Revenue in Speech Recognition Software Business (2018-2023) 45
6.5.5 Microsoft Azure Recent Development 45
6.6 AssemblyAI 46
6.6.1 AssemblyAI Company Details 46
6.6.2 AssemblyAI Business Overview 46
6.6.3 AssemblyAI Speech Recognition Software Introduction 47
6.6.4 AssemblyAI in United States: Revenue in Speech Recognition Software Business (2018-2023) 47
6.6.5 AssemblyAI Recent Development 47
6.7 Picovoice 48
6.7.1 Picovoice Company Details 48
6.7.2 Picovoice Business Overview 48
6.7.3 Picovoice Speech Recognition Software Introduction 49
6.7.4 Picovoice in United States: Revenue in Speech Recognition Software Business (2018-2023) 49
6.7.5 Picovoice Recent Development 49
6.8 Voicegain 50
6.8.1 Voicegain Company Details 50
6.8.2 Voicegain Business Overview 50
6.8.3 Voicegain Speech Recognition Software Introduction 51
6.8.4 Voicegain in United States: Revenue in Speech Recognition Software Business (2018-2023) 51
6.8.5 Voicegain Recent Development 51
6.9 IBM Watson 52
6.9.1 IBM Watson Company Details 52
6.9.2 IBM Watson Business Overview 52
6.9.3 IBM Watson Speech Recognition Software Introduction 53
6.9.4 IBM Watson in United States: Revenue in Speech Recognition Software Business (2018-2023) 53
6.9.5 IBM Watson Recent Development 53
7 Analyst's Viewpoints/Conclusions 55
8 Appendix 56
8.1 Research Methodology 56
8.1.1 Methodology/Research Approach 56
8.1.2 Data Source 59
8.2 Author Details 62
8.3 Disclaimer 64

Companies Mentioned:

Amazon Transcribe
Nuance Dragon
Deepgram
Google Cloud
Microsoft Azure
AssemblyAI
Picovoice
Voicegain
IBM Watson

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.