Report cover image

Europe Automotive Predictive Analytics Market Size, Share & Industry Analysis Report By Component (Software, Services, and Hardware), By Vehicle Type (Passenger Cars, Commercial Vehicles, and Electric Vehicles (EVs)), By End User (OEMs, Fleet Operators, a

Published Oct 15, 2025
Length 189 Pages
SKU # KBV20513531

Description

The Europe Automotive Predictive Analytics Market would witness market growth of 27.1% CAGR during the forecast period (2025-2032).

The Germany market dominated the Europe Automotive Predictive Analytics Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $834.1 million by 2032. The UK market is exhibiting a CAGR of 25.6% during (2025 - 2032). Additionally, The France market would experience a CAGR of 28.2% during (2025 - 2032). The Germany and UK led the Europe Automotive Predictive Analytics Market by Country with a market share of 29.3% and 14.9% in 2024. The Italy market is expected to witness a CAGR of 28.9% during throughout the forecast period.

Over the last ten years, Europe's car industry has used more and more data-driven technologies. Predictive analytics has become a key factor in staying competitive. OEMs and suppliers used to focus on descriptive and diagnostic analytics, but now they are moving toward advanced predictive models that use telematics, IoT, and connected vehicle data. These models make it easier to predict when parts will fail, optimize maintenance schedules, keep batteries healthy in electric vehicles, and run fleets more smoothly. Regulatory pressures, safety standards, and the rise of software-defined vehicle architectures have sped up adoption. Specialized, domain-focused models improve the accuracy of subsystems like powertrain, ADAS, and thermal management.

European automakers and analytics vendors are working on strategies like forming strategic partnerships, integrating predictive engines into vehicle software, creating modular analytics platforms, and making sure that data governance follows the rules set by the GDPR and the EU AI Act. Real-time streaming analytics, platformization, and ecosystem collaboration are new trends that make it possible to take action before problems happen and get insights from all stakeholders. The competitive landscape is shaped by model accuracy, domain expertise, regulatory compliance, and geographic presence. Traditional OEMs, specialized analytics firms, and global incumbents are all trying to offer either integrated or niche predictive solutions. In general, predictive analytics has changed from a helpful tool to a core skill that connects data infrastructure, making operational decisions, and new service-based revenue models.

Component Outlook

Based on Component, the market is segmented into Software, Services, and Hardware. Among various UK Automotive Predictive Analytics Market by Component; The Software market achieved a market size of USD $34.2 Million in 2024 and is expected to grow at a CAGR of 25 % during the forecast period. The Hardware market is predicted to experience a CAGR of 26.5% throughout the forecast period from (2025 - 2032).

Vehicle Type Outlook

Based on Vehicle Type, the market is segmented into Passenger Cars, Commercial Vehicles, and Electric Vehicles (EVs). The Germany and UK led the Europe Automotive Predictive Analytics Market by Country with a market share of 29.3% and 14.9% in 2024.The Italy market is expected to witness a CAGR of 28.9% during throughout the forecast period.

Country Outlook

Germany is the leader in Europe's automotive predictive analytics. It uses sensor data, telematics, and vehicle connectivity to improve fleet and warranty operations, predict failures, monitor EV battery health, and optimize maintenance. Its mature OEM ecosystem, which includes Volkswagen, BMW, Daimler, Audi, and Porsche, along with a strong R&D infrastructure, advanced Industry 4.0 capabilities, and a lot of analytics talent, makes it a good place to use advanced predictive models. Trends in the market point to hybrid edge-cloud architectures, real-time forecasting, and more uses for EV battery management, usage-based insurance, and driver behavior analysis. There is competition between both domestic Tier-1 suppliers and global technology vendors. Companies have to balance developing their own products with forming strategic partnerships while dealing with legacy system integration, data silos, and strict EU and German data protection laws. Germany is a European leader in the use of predictive analytics because of its size, technical know-how, and automotive culture that values innovation.

List of Key Companies Profiled
  • IBM Corporation
  • SAS Institute Inc.
  • Oracle Corporation
  • SAP SE
  • Microsoft Corporation
  • PTC, Inc.
  • Continental AG
  • Robert Bosch GmbH
  • ZF Friedrichshafen AG
  • Aptiv PLC
Europe Automotive Predictive Analytics Market Report Segmentation

By Component
  • Software
  • Services
  • Hardware
By Vehicle Type
  • Passenger Cars
  • Commercial Vehicles
  • Electric Vehicles (EVs)
By End User
  • OEMs
  • Fleet Operators
  • Insurance Providers & Others
By Application
  • Predictive Maintenance
  • Vehicle Telematics
  • Driver & Behavior Analytics
  • Fleet Management
  • Warranty Analytics
  • Other Application
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

189 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Automotive Predictive Analytics Market, by Component
1.4.2 Europe Automotive Predictive Analytics Market, by Vehicle Type
1.4.3 Europe Automotive Predictive Analytics Market, by End User
1.4.4 Europe Automotive Predictive Analytics Market, by Application
1.4.5 Europe Automotive Predictive Analytics Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario 
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends – Europe Automotive Predictive Analytics Market
Chapter 5. State of Competition – Europe Automotive Predictive Analytics Market
Chapter 6. Competition Analysis – Global
6.1 Market Share Analysis, 2024
6.2 Porter Five Forces Analysis
Chapter 7. Value Chain Analysis of Automotive Predictive Analytics Market
Chapter 8. Product Life Cycle – Automotive Predictive Analytics Market
Chapter 9. Market Consolidation – Automotive Predictive Analytics Market
Chapter 10. Key Customer Criteria – Automotive Predictive Analytics Market
Chapter 11. Europe Automotive Predictive Analytics Market by Component
11.1 Europe Software Market by Country
11.2 Europe Services Market by Country
11.3 Europe Hardware Market by Country
Chapter 12. Europe Automotive Predictive Analytics Market by Vehicle Type
12.1 Europe Passenger Cars Market by Country
12.2 Europe Commercial Vehicles Market by Country
12.3 Europe Electric Vehicles (EVs) Market by Country
Chapter 13. Europe Automotive Predictive Analytics Market by End User
13.1 Europe OEMs Market by Country
13.2 Europe Fleet Operators Market by Country
13.3 Europe Insurance Providers & Others Market by Country
Chapter 14. Europe Automotive Predictive Analytics Market by Application
14.1 Europe Predictive Maintenance Market by Country
14.2 Europe Vehicle Telematics Market by Country
14.3 Europe Driver & Behavior Analytics Market by Country
14.4 Europe Fleet Management Market by Country
14.5 Europe Warranty Analytics Market by Country
14.6 Europe Other Application Market by Country
Chapter 15. Europe Automotive Predictive Analytics Market by Country
15.1 Germany Automotive Predictive Analytics Market
15.1.1 Germany Automotive Predictive Analytics Market by Component
15.1.2 Germany Automotive Predictive Analytics Market by Vehicle Type
15.1.3 Germany Automotive Predictive Analytics Market by End User
15.1.4 Germany Automotive Predictive Analytics Market by Application
15.2 UK Automotive Predictive Analytics Market
15.2.1 UK Automotive Predictive Analytics Market by Component
15.2.2 UK Automotive Predictive Analytics Market by Vehicle Type
15.2.3 UK Automotive Predictive Analytics Market by End User
15.2.4 UK Automotive Predictive Analytics Market by Application
15.3 France Automotive Predictive Analytics Market
15.3.1 France Automotive Predictive Analytics Market by Component
15.3.2 France Automotive Predictive Analytics Market by Vehicle Type
15.3.3 France Automotive Predictive Analytics Market by End User
15.3.4 France Automotive Predictive Analytics Market by Application
15.4 Russia Automotive Predictive Analytics Market
15.4.1 Russia Automotive Predictive Analytics Market by Component
15.4.2 Russia Automotive Predictive Analytics Market by Vehicle Type
15.4.3 Russia Automotive Predictive Analytics Market by End User
15.4.4 Russia Automotive Predictive Analytics Market by Application
15.5 Spain Automotive Predictive Analytics Market
15.5.1 Spain Automotive Predictive Analytics Market by Component
15.5.2 Spain Automotive Predictive Analytics Market by Vehicle Type
15.5.3 Spain Automotive Predictive Analytics Market by End User
15.5.4 Spain Automotive Predictive Analytics Market by Application
15.6 Italy Automotive Predictive Analytics Market
15.6.1 Italy Automotive Predictive Analytics Market by Component
15.6.2 Italy Automotive Predictive Analytics Market by Vehicle Type
15.6.3 Italy Automotive Predictive Analytics Market by End User
15.6.4 Italy Automotive Predictive Analytics Market by Application
15.7 Rest of Europe Automotive Predictive Analytics Market
15.7.1 Rest of Europe Automotive Predictive Analytics Market by Component
15.7.2 Rest of Europe Automotive Predictive Analytics Market by Vehicle Type
15.7.3 Rest of Europe Automotive Predictive Analytics Market by End User
15.7.4 Rest of Europe Automotive Predictive Analytics Market by Application
Chapter 16. Company Profiles
16.1 IBM Corporation
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Regional & Segmental Analysis
16.1.4 Research & Development Expenses
16.1.5 Recent strategies and developments:
16.1.5.1 Partnerships, Collaborations, and Agreements:
16.1.6 SWOT Analysis
16.2 SAS Institute, Inc.
16.2.1 Company Overview
16.2.2 SWOT Analysis
16.3 Oracle Corporation
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Segmental and Regional Analysis
16.3.4 Research & Development Expense
16.3.5 SWOT Analysis
16.4 SAP SE
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional Analysis
16.4.4 Research & Development Expense
16.4.5 SWOT Analysis
16.5 Microsoft Corporation
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Segmental and Regional Analysis
16.5.4 Research & Development Expenses
16.5.5 SWOT Analysis
16.6 PTC, Inc.
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 SWOT Analysis
16.7 Continental AG
16.7.1 Company Overview
16.7.2 Financial Analysis
16.7.3 Segmental and Regional Analysis
16.7.4 Research & Development Expense
16.7.5 SWOT Analysis
16.8 Robert Bosch GmbH
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Segmental and Regional Analysis
16.8.4 Research & Development Expenses
16.8.5 SWOT Analysis
16.9 ZF Friedrichshafen AG
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Regional Analysis
16.9.4 Research & Development Expenses
16.9.5 Recent strategies and developments:
16.9.5.1 Product Launches and Product Expansions:
16.9.6 SWOT Analysis
16.10. Aptiv PLC
16.10.1 Company Overview
16.10.2 Financial Analysis
16.10.3 Segmental and Regional Analysis
16.10.4 Research & Development Expense
16.10.5 SWOT Analysis
How Do Licenses Work?
Request A Sample
Head shot

Questions or Comments?

Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.