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Publication: June 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42412 
  Pages: 160+  

Western Europe AI Machine Learning Market Size and Forecast by Technology, Deployment Model, Industry, Organization Size, Application, and Country: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 June 2024  | 

Western Europe AI Machine Learning Market Growth and Performance

Western Europe AI Machine Learning Market

  • In 2023, the Western Europe AI machine learning market was valued at US$ 7.91 Billion, reflecting a year-on-year growth rate of 25.7%.
  • By the end of 2032, the Western Europe AI machine learning market size is forecast to reach US$ 76.52 Billion, registering a CAGR of 28.7% during the forecast period.
  • In 2032, the supervised learning segment is projected to experience a significant upsurge in market revenue, reaching US$ 38.04 Billion. This segment is likely to be the largest segment, with 49.8% market share.
  • In terms of spending on associated solutions and services, IT and telecom sector dominated the AI machine learning market in Western Europe in 2023.

Western Europe AI Machine Learning Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Technology

Supervised Learnin

Unsupervised Learnin

Reinforcement Learnin

Deep Learnin

Deployment Model

On-premis

Cloud-base

Hybri

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Organization Size

Large Enterprise

Mid Enterprise

Small Enterprise

Application

Predictive Analytic

AI Computer Visio

Natural Language Processing (NLP

Recommendation System

Western Europe AI Machine Learning Industry: Regional Coverage

 

Countries

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]