Global Intelligent Voice Transcription Platform 麻豆原创 2025 by Company, Regions, Type and Application, Forecast to 2031

Publication ID:

GIR062505029

Publication Date:

June 20, 2025

Pages:

112

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global Intelligent Voice Transcription Platform market size was valued at US$ 915 million in 2024 and is forecast to a readjusted size of USD 1681 million by 2031 with a CAGR of 9.2% during review period.
Intelligent Voice Transcription Platform uses speech recognition technology to capture calls, convert them into text as well as provide complex analytic capabilities.
Server is an important driver of this industry. According to IDC, the global server market is estimated at US$110 billion in 2022. The top five players hold a share about 45 percent. In 2022, server industry sales growth in the US was about 30%, while in China it will be about 10.5%. Given the high willingness of Internet giants in China and the US to invest in cloud services and AIGCs, the server market in China and the US is likely to continue to grow faster than the global average in the coming years.
This report is a detailed and comprehensive analysis for global Intelligent Voice Transcription Platform market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Intelligent Voice Transcription Platform market size and forecasts, in consumption value ($ Million), 2020-2031
Global Intelligent Voice Transcription Platform market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Intelligent Voice Transcription Platform market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Intelligent Voice Transcription Platform market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Intelligent Voice Transcription Platform
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Intelligent Voice Transcription Platform market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Alibaba Cloud Intelligent Speech Interaction, Amazon Transcribe, AssemblyAI, Deepgram, Google Speech-to-Text API, IBM, Jiminy, Microsoft, Nuance Dragon, Picovoice, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Intelligent Voice Transcription Platform market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
Local
Cloud-based
麻豆原创 segment by Application
Individual
Enterprise
Team
麻豆原创 segment by players, this report covers
Alibaba Cloud Intelligent Speech Interaction
Amazon Transcribe
AssemblyAI
Deepgram
Google Speech-to-Text API
IBM
Jiminy
Microsoft
Nuance Dragon
Picovoice
Relativity
Verbit
Voicegain
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Intelligent Voice Transcription Platform product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Intelligent Voice Transcription Platform, with revenue, gross margin, and global market share of Intelligent Voice Transcription Platform from 2020 to 2025.
Chapter 3, the Intelligent Voice Transcription Platform competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Intelligent Voice Transcription Platform market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Intelligent Voice Transcription Platform.
Chapter 13, to describe Intelligent Voice Transcription Platform research findings and conclusion.

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

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Intelligent Voice Transcription Platform by Type
1.3.1 Overview: Global Intelligent Voice Transcription Platform 麻豆原创 Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Intelligent Voice Transcription Platform Consumption Value 麻豆原创 Share by Type in 2024
1.3.3 Local
1.3.4 Cloud-based
1.4 Global Intelligent Voice Transcription Platform 麻豆原创 by Application
1.4.1 Overview: Global Intelligent Voice Transcription Platform 麻豆原创 Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Individual
1.4.3 Enterprise
1.4.4 Team
1.5 Global Intelligent Voice Transcription Platform 麻豆原创 Size & Forecast
1.6 Global Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast by Region
1.6.1 Global Intelligent Voice Transcription Platform 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Intelligent Voice Transcription Platform 麻豆原创 Size by Region, (2020-2031)
1.6.3 North America Intelligent Voice Transcription Platform 麻豆原创 Size and Prospect (2020-2031)
1.6.4 Europe Intelligent Voice Transcription Platform 麻豆原创 Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Intelligent Voice Transcription Platform 麻豆原创 Size and Prospect (2020-2031)
1.6.6 South America Intelligent Voice Transcription Platform 麻豆原创 Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Intelligent Voice Transcription Platform 麻豆原创 Size and Prospect (2020-2031)
2 Company Profiles
2.1 Alibaba Cloud Intelligent Speech Interaction
2.1.1 Alibaba Cloud Intelligent Speech Interaction Details
2.1.2 Alibaba Cloud Intelligent Speech Interaction Major Business
2.1.3 Alibaba Cloud Intelligent Speech Interaction Intelligent Voice Transcription Platform Product and Solutions
2.1.4 Alibaba Cloud Intelligent Speech Interaction Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.1.5 Alibaba Cloud Intelligent Speech Interaction Recent Developments and Future Plans
2.2 Amazon Transcribe
2.2.1 Amazon Transcribe Details
2.2.2 Amazon Transcribe Major Business
2.2.3 Amazon Transcribe Intelligent Voice Transcription Platform Product and Solutions
2.2.4 Amazon Transcribe Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.2.5 Amazon Transcribe Recent Developments and Future Plans
2.3 AssemblyAI
2.3.1 AssemblyAI Details
2.3.2 AssemblyAI Major Business
2.3.3 AssemblyAI Intelligent Voice Transcription Platform Product and Solutions
2.3.4 AssemblyAI Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.3.5 AssemblyAI Recent Developments and Future Plans
2.4 Deepgram
2.4.1 Deepgram Details
2.4.2 Deepgram Major Business
2.4.3 Deepgram Intelligent Voice Transcription Platform Product and Solutions
2.4.4 Deepgram Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.4.5 Deepgram Recent Developments and Future Plans
2.5 Google Speech-to-Text API
2.5.1 Google Speech-to-Text API Details
2.5.2 Google Speech-to-Text API Major Business
2.5.3 Google Speech-to-Text API Intelligent Voice Transcription Platform Product and Solutions
2.5.4 Google Speech-to-Text API Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.5.5 Google Speech-to-Text API Recent Developments and Future Plans
2.6 IBM
2.6.1 IBM Details
2.6.2 IBM Major Business
2.6.3 IBM Intelligent Voice Transcription Platform Product and Solutions
2.6.4 IBM Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.6.5 IBM Recent Developments and Future Plans
2.7 Jiminy
2.7.1 Jiminy Details
2.7.2 Jiminy Major Business
2.7.3 Jiminy Intelligent Voice Transcription Platform Product and Solutions
2.7.4 Jiminy Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.7.5 Jiminy Recent Developments and Future Plans
2.8 Microsoft
2.8.1 Microsoft Details
2.8.2 Microsoft Major Business
2.8.3 Microsoft Intelligent Voice Transcription Platform Product and Solutions
2.8.4 Microsoft Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.8.5 Microsoft Recent Developments and Future Plans
2.9 Nuance Dragon
2.9.1 Nuance Dragon Details
2.9.2 Nuance Dragon Major Business
2.9.3 Nuance Dragon Intelligent Voice Transcription Platform Product and Solutions
2.9.4 Nuance Dragon Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.9.5 Nuance Dragon Recent Developments and Future Plans
2.10 Picovoice
2.10.1 Picovoice Details
2.10.2 Picovoice Major Business
2.10.3 Picovoice Intelligent Voice Transcription Platform Product and Solutions
2.10.4 Picovoice Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.10.5 Picovoice Recent Developments and Future Plans
2.11 Relativity
2.11.1 Relativity Details
2.11.2 Relativity Major Business
2.11.3 Relativity Intelligent Voice Transcription Platform Product and Solutions
2.11.4 Relativity Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.11.5 Relativity Recent Developments and Future Plans
2.12 Verbit
2.12.1 Verbit Details
2.12.2 Verbit Major Business
2.12.3 Verbit Intelligent Voice Transcription Platform Product and Solutions
2.12.4 Verbit Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.12.5 Verbit Recent Developments and Future Plans
2.13 Voicegain
2.13.1 Voicegain Details
2.13.2 Voicegain Major Business
2.13.3 Voicegain Intelligent Voice Transcription Platform Product and Solutions
2.13.4 Voicegain Intelligent Voice Transcription Platform Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.13.5 Voicegain Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Intelligent Voice Transcription Platform Revenue and Share by Players (2020-2025)
3.2 麻豆原创 Share Analysis (2024)
3.2.1 麻豆原创 Share of Intelligent Voice Transcription Platform by Company Revenue
3.2.2 Top 3 Intelligent Voice Transcription Platform Players 麻豆原创 Share in 2024
3.2.3 Top 6 Intelligent Voice Transcription Platform Players 麻豆原创 Share in 2024
3.3 Intelligent Voice Transcription Platform 麻豆原创: Overall Company Footprint Analysis
3.3.1 Intelligent Voice Transcription Platform 麻豆原创: Region Footprint
3.3.2 Intelligent Voice Transcription Platform 麻豆原创: Company Product Type Footprint
3.3.3 Intelligent Voice Transcription Platform 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Intelligent Voice Transcription Platform Consumption Value and 麻豆原创 Share by Type (2020-2025)
4.2 Global Intelligent Voice Transcription Platform 麻豆原创 Forecast by Type (2026-2031)
5 麻豆原创 Size Segment by Application
5.1 Global Intelligent Voice Transcription Platform Consumption Value 麻豆原创 Share by Application (2020-2025)
5.2 Global Intelligent Voice Transcription Platform 麻豆原创 Forecast by Application (2026-2031)
6 North America
6.1 North America Intelligent Voice Transcription Platform Consumption Value by Type (2020-2031)
6.2 North America Intelligent Voice Transcription Platform 麻豆原创 Size by Application (2020-2031)
6.3 North America Intelligent Voice Transcription Platform 麻豆原创 Size by Country
6.3.1 North America Intelligent Voice Transcription Platform Consumption Value by Country (2020-2031)
6.3.2 United States Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
6.3.3 Canada Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
6.3.4 Mexico Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
7 Europe
7.1 Europe Intelligent Voice Transcription Platform Consumption Value by Type (2020-2031)
7.2 Europe Intelligent Voice Transcription Platform Consumption Value by Application (2020-2031)
7.3 Europe Intelligent Voice Transcription Platform 麻豆原创 Size by Country
7.3.1 Europe Intelligent Voice Transcription Platform Consumption Value by Country (2020-2031)
7.3.2 Germany Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
7.3.3 France Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
7.3.4 United Kingdom Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
7.3.5 Russia Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
7.3.6 Italy Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Intelligent Voice Transcription Platform Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Intelligent Voice Transcription Platform Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Intelligent Voice Transcription Platform 麻豆原创 Size by Region
8.3.1 Asia-Pacific Intelligent Voice Transcription Platform Consumption Value by Region (2020-2031)
8.3.2 China Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8.3.3 Japan Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8.3.4 South Korea Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8.3.5 India Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8.3.6 Southeast Asia Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
8.3.7 Australia Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
9 South America
9.1 South America Intelligent Voice Transcription Platform Consumption Value by Type (2020-2031)
9.2 South America Intelligent Voice Transcription Platform Consumption Value by Application (2020-2031)
9.3 South America Intelligent Voice Transcription Platform 麻豆原创 Size by Country
9.3.1 South America Intelligent Voice Transcription Platform Consumption Value by Country (2020-2031)
9.3.2 Brazil Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
9.3.3 Argentina Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Voice Transcription Platform Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Intelligent Voice Transcription Platform Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Intelligent Voice Transcription Platform 麻豆原创 Size by Country
10.3.1 Middle East & Africa Intelligent Voice Transcription Platform Consumption Value by Country (2020-2031)
10.3.2 Turkey Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
10.3.4 UAE Intelligent Voice Transcription Platform 麻豆原创 Size and Forecast (2020-2031)
11 麻豆原创 Dynamics
11.1 Intelligent Voice Transcription Platform 麻豆原创 Drivers
11.2 Intelligent Voice Transcription Platform 麻豆原创 Restraints
11.3 Intelligent Voice Transcription Platform Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Intelligent Voice Transcription Platform Industry Chain
12.2 Intelligent Voice Transcription Platform Upstream Analysis
12.3 Intelligent Voice Transcription Platform Midstream Analysis
12.4 Intelligent Voice Transcription Platform Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

Alibaba Cloud Intelligent Speech Interaction
Amazon Transcribe
AssemblyAI
Deepgram
Google Speech-to-Text API
IBM
Jiminy
Microsoft
Nuance Dragon
Picovoice
Relativity
Verbit
Voicegain

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.