Publication: May 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42322 
  Pages: 160+
 

Western Europe AI Speech Recognition Market Analysis, Size, and Forecast by Components, Deployment Model, Value Proposition, Functionality, End Users, and Country: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 May 2024  | 

Western Europe AI Speech Recognition Market Snapshot

Western Europe AI Speech Recognition Market


  • In 2023, the Western Europe AI speech recognition market was valued at US$ 1.88 Billion, which is estimated to increase to US$ 2.24 Billion in 2024, reflecting a year-on-year growth rate of 18.6%.
  • By the end of 2032, the Western Europe AI speech recognition market is forecast to reach US$ 5.53 Billion, registering a CAGR of 12.0% during the forecast period.
  • In 2024, the software segment is projected to experience a significant upsurge in market revenue, reaching US$ 1.22 Billion segment is likely to be the largest segment, with 54.5% market share.
  • In terms of spending on speech recognition solutions and services, IT and Telecom sector dominated the Western Europe AI speech recognition market in 2023.

Western Europe AI Speech Recognition Industry Coverage

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032

 

Research Scope

Components

Hardwar

Softwar

Service

Deployment Model

Cloud-base

On-premis

Value Proposition

Open & Integrable Solution

Customizable & Tailored Solution

Functionality

Real-Time Speech Processin

High-Fidelity Speech-to-Tex

Multi-Language Machine Translatio

End Users

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Western Europe AI Speech Recognition Market: Country Coverage

 

Countries Covered

Western Europe

U

German

Franc

Ital

Spai

Benelu

Nordic

Rest of Western Europ



*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]