
The global market for Real-time Speech Analytics was valued at US$ 2720 million in the year 2023 and is projected to reach a revised size of US$ 5368 million by 2030, growing at a CAGR of 10.2% during the forecast period.
Real-time speech analytics is a technology that leverages artificial intelligence and natural language processing to capture, transcribe, analyze, and process speech content during live communication. It identifies keywords, emotions, tone, and intent in speech, enabling businesses to provide instant feedback, optimize customer experience, improve decision-making, and ensure compliance during conversations. It is widely used in call centers, customer service, sales support, and risk management.
North American market for Real-time Speech Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Real-time Speech Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Real-time Speech Analytics in Financial Services is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Real-time Speech Analytics include Amazon Web Services (AWS), Google Cloud Speech-to-Text, IBM Watson Speech to Text, Uniphore, NICE Ltd., Verint Systems Inc., CallMiner, Calabrio, Genesys, Talkdesk, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Real-time Speech Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Real-time Speech Analytics.
The Real-time Speech Analytics market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Real-time Speech Analytics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Real-time Speech Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Amazon Web Services (AWS)
Google Cloud Speech-to-Text
IBM Watson Speech to Text
Uniphore
NICE Ltd.
Verint Systems Inc.
CallMiner
Calabrio
Genesys
Talkdesk
Zebra Technologies (Motus)
Avaya
Aspect Software
Cisco Systems
Observe.AI
Segment by Type
Cloud-Based
Localized Solutions
Hybrid Solutions
Segment by Application
Financial Services
Telecommunications
Healthcare
E-Commerce and Retail
Public Sector and Government
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Real-time Speech Analytics company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Real-time Speech Analytics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 Localized Solutions
1.2.4 Hybrid Solutions
1.3 Market by Application
1.3.1 Global Real-time Speech Analytics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Financial Services
1.3.3 Telecommunications
1.3.4 Healthcare
1.3.5 E-Commerce and Retail
1.3.6 Public Sector and Government
1.3.7 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Real-time Speech Analytics Market Perspective (2019-2030)
2.2 Global Real-time Speech Analytics Growth Trends by Region
2.2.1 Global Real-time Speech Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Real-time Speech Analytics Historic Market Size by Region (2019-2024)
2.2.3 Real-time Speech Analytics Forecasted Market Size by Region (2025-2030)
2.3 Real-time Speech Analytics Market Dynamics
2.3.1 Real-time Speech Analytics Industry Trends
2.3.2 Real-time Speech Analytics Market Drivers
2.3.3 Real-time Speech Analytics Market Challenges
2.3.4 Real-time Speech Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Real-time Speech Analytics Players by Revenue
3.1.1 Global Top Real-time Speech Analytics Players by Revenue (2019-2024)
3.1.2 Global Real-time Speech Analytics Revenue Market Share by Players (2019-2024)
3.2 Global Real-time Speech Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Real-time Speech Analytics Revenue
3.4 Global Real-time Speech Analytics Market Concentration Ratio
3.4.1 Global Real-time Speech Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Real-time Speech Analytics Revenue in 2023
3.5 Global Key Players of Real-time Speech Analytics Head office and Area Served
3.6 Global Key Players of Real-time Speech Analytics, Product and Application
3.7 Global Key Players of Real-time Speech Analytics, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Real-time Speech Analytics Breakdown Data by Type
4.1 Global Real-time Speech Analytics Historic Market Size by Type (2019-2024)
4.2 Global Real-time Speech Analytics Forecasted Market Size by Type (2025-2030)
5 Real-time Speech Analytics Breakdown Data by Application
5.1 Global Real-time Speech Analytics Historic Market Size by Application (2019-2024)
5.2 Global Real-time Speech Analytics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Real-time Speech Analytics Market Size (2019-2030)
6.2 North America Real-time Speech Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Real-time Speech Analytics Market Size by Country (2019-2024)
6.4 North America Real-time Speech Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Real-time Speech Analytics Market Size (2019-2030)
7.2 Europe Real-time Speech Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Real-time Speech Analytics Market Size by Country (2019-2024)
7.4 Europe Real-time Speech Analytics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Real-time Speech Analytics Market Size (2019-2030)
8.2 Asia-Pacific Real-time Speech Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Real-time Speech Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific Real-time Speech Analytics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Real-time Speech Analytics Market Size (2019-2030)
9.2 Latin America Real-time Speech Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Real-time Speech Analytics Market Size by Country (2019-2024)
9.4 Latin America Real-time Speech Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Real-time Speech Analytics Market Size (2019-2030)
10.2 Middle East & Africa Real-time Speech Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Real-time Speech Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa Real-time Speech Analytics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services (AWS)
11.1.1 Amazon Web Services (AWS) Company Details
11.1.2 Amazon Web Services (AWS) Business Overview
11.1.3 Amazon Web Services (AWS) Real-time Speech Analytics Introduction
11.1.4 Amazon Web Services (AWS) Revenue in Real-time Speech Analytics Business (2019-2024)
11.1.5 Amazon Web Services (AWS) Recent Development
11.2 Google Cloud Speech-to-Text
11.2.1 Google Cloud Speech-to-Text Company Details
11.2.2 Google Cloud Speech-to-Text Business Overview
11.2.3 Google Cloud Speech-to-Text Real-time Speech Analytics Introduction
11.2.4 Google Cloud Speech-to-Text Revenue in Real-time Speech Analytics Business (2019-2024)
11.2.5 Google Cloud Speech-to-Text Recent Development
11.3 IBM Watson Speech to Text
11.3.1 IBM Watson Speech to Text Company Details
11.3.2 IBM Watson Speech to Text Business Overview
11.3.3 IBM Watson Speech to Text Real-time Speech Analytics Introduction
11.3.4 IBM Watson Speech to Text Revenue in Real-time Speech Analytics Business (2019-2024)
11.3.5 IBM Watson Speech to Text Recent Development
11.4 Uniphore
11.4.1 Uniphore Company Details
11.4.2 Uniphore Business Overview
11.4.3 Uniphore Real-time Speech Analytics Introduction
11.4.4 Uniphore Revenue in Real-time Speech Analytics Business (2019-2024)
11.4.5 Uniphore Recent Development
11.5 NICE Ltd.
11.5.1 NICE Ltd. Company Details
11.5.2 NICE Ltd. Business Overview
11.5.3 NICE Ltd. Real-time Speech Analytics Introduction
11.5.4 NICE Ltd. Revenue in Real-time Speech Analytics Business (2019-2024)
11.5.5 NICE Ltd. Recent Development
11.6 Verint Systems Inc.
11.6.1 Verint Systems Inc. Company Details
11.6.2 Verint Systems Inc. Business Overview
11.6.3 Verint Systems Inc. Real-time Speech Analytics Introduction
11.6.4 Verint Systems Inc. Revenue in Real-time Speech Analytics Business (2019-2024)
11.6.5 Verint Systems Inc. Recent Development
11.7 CallMiner
11.7.1 CallMiner Company Details
11.7.2 CallMiner Business Overview
11.7.3 CallMiner Real-time Speech Analytics Introduction
11.7.4 CallMiner Revenue in Real-time Speech Analytics Business (2019-2024)
11.7.5 CallMiner Recent Development
11.8 Calabrio
11.8.1 Calabrio Company Details
11.8.2 Calabrio Business Overview
11.8.3 Calabrio Real-time Speech Analytics Introduction
11.8.4 Calabrio Revenue in Real-time Speech Analytics Business (2019-2024)
11.8.5 Calabrio Recent Development
11.9 Genesys
11.9.1 Genesys Company Details
11.9.2 Genesys Business Overview
11.9.3 Genesys Real-time Speech Analytics Introduction
11.9.4 Genesys Revenue in Real-time Speech Analytics Business (2019-2024)
11.9.5 Genesys Recent Development
11.10 Talkdesk
11.10.1 Talkdesk Company Details
11.10.2 Talkdesk Business Overview
11.10.3 Talkdesk Real-time Speech Analytics Introduction
11.10.4 Talkdesk Revenue in Real-time Speech Analytics Business (2019-2024)
11.10.5 Talkdesk Recent Development
11.11 Zebra Technologies (Motus)
11.11.1 Zebra Technologies (Motus) Company Details
11.11.2 Zebra Technologies (Motus) Business Overview
11.11.3 Zebra Technologies (Motus) Real-time Speech Analytics Introduction
11.11.4 Zebra Technologies (Motus) Revenue in Real-time Speech Analytics Business (2019-2024)
11.11.5 Zebra Technologies (Motus) Recent Development
11.12 Avaya
11.12.1 Avaya Company Details
11.12.2 Avaya Business Overview
11.12.3 Avaya Real-time Speech Analytics Introduction
11.12.4 Avaya Revenue in Real-time Speech Analytics Business (2019-2024)
11.12.5 Avaya Recent Development
11.13 Aspect Software
11.13.1 Aspect Software Company Details
11.13.2 Aspect Software Business Overview
11.13.3 Aspect Software Real-time Speech Analytics Introduction
11.13.4 Aspect Software Revenue in Real-time Speech Analytics Business (2019-2024)
11.13.5 Aspect Software Recent Development
11.14 Cisco Systems
11.14.1 Cisco Systems Company Details
11.14.2 Cisco Systems Business Overview
11.14.3 Cisco Systems Real-time Speech Analytics Introduction
11.14.4 Cisco Systems Revenue in Real-time Speech Analytics Business (2019-2024)
11.14.5 Cisco Systems Recent Development
11.15 Observe.AI
11.15.1 Observe.AI Company Details
11.15.2 Observe.AI Business Overview
11.15.3 Observe.AI Real-time Speech Analytics Introduction
11.15.4 Observe.AI Revenue in Real-time Speech Analytics Business (2019-2024)
11.15.5 Observe.AI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Amazon Web Services (AWS)
Google Cloud Speech-to-Text
IBM Watson Speech to Text
Uniphore
NICE Ltd.
Verint Systems Inc.
CallMiner
Calabrio
Genesys
Talkdesk
Zebra Technologies (Motus)
Avaya
Aspect Software
Cisco Systems
Observe.AI
Ìý
Ìý
*If Applicable.
