Publication: May 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42180 
  Pages: 160+
 

Western Europe AI Autonomous System Market Analysis, Size, and Forecast by Components, Deployment Model, Business Function, Organization Size, and Industry: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 May 2024  | 

Western Europe AI Autonomous System Market Snapshot

Western Europe AI Autonomous System Market


  • In 2023, the Western Europe AI autonomous system market was valued at US$ 12.17 Billion, which is estimated to increase to US$ 16.77 Billion in 2024, reflecting a year-on-year growth rate of 37.8%.
  • By the end of 2032, the Western Europe AI autonomous system market is forecast to reach US$ 133.31 Billion, registering a CAGR of 29.6% during the forecast period.
  • In 2024, the hardware segment is projected to experience a significant upsurge in market revenue, reaching US$ 9.39 Billion segment is likely to be the largest segment, with 56.0% market share.
  • In terms of spending on autonomous system solutions and services, IT and telecom sector dominated the Western Europe AI autonomous system market in 2023.

Western Europe AI Autonomous System 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

Servic

Deployment Model

On-premis

Cloud-base

Hybri

Business Function

Tiered Subscription

Pay-Per-Use Subscription

Outcome-Based Subscription

Value-Added Subscription

Hybrid Model

Organization Size

Large Enterprise

Mid Enterprise

Small Enterprise

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Western Europe AI Autonomous System 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]