Automotive Data Monetization Market Size, Share, Opportunities, And Trends By Offering (Solution, Services), By Deployment Model (On-premise, Cloud), By Enterprise Size (Small, Medium, Large), And Geography - Forecasts From 2025 To 2030
- Published : Dec 2024
- Report Code : KSI061614759
- Pages : 143
The automotive data monetization market is projected to grow at a CAGR of 37.71% between 2025 to 2030.
Declining automotive production worldwide, on account of shrinking automotive sales in many countries, is increasing the need among automakers to stay ahead of their rivals and diversify their sources of cash flow in order to retain their market share in such an environment. Continuous adoption of digital technologies by automakers in order to digitize their business processes for improved efficiency has been opening doors to huge revenue generation opportunities for them. Automakers are moving towards monetization of huge volumes of data their business functions generate in order to strengthen their position in this industry. This is increasing the adoption of advanced data monetization solutions and services among them, thus boosting the growth of the market. Presence of a good number of players offering tailored solutions and services to customers across the globe has also been contributing to the growth of the market.
Geographically, Asia Pacific, Europe and North America are the leading regions in this market on account of presence of a large number of automakers in these regions. South America and Middle East and Africa also hold a significant share in this market.
DRIVERS
Intensifying competition across automotive industry
Increasing digitization of business functions for improved efficiency
OPPORTUNITIES
Rising investments in fully automated automotive production facilities
The major players profiled in the automotive data monetization market are Accenture, Dawex Systems, Elevondata, Emu Analytics, Gemalto, Google, IBM, Infosys, Monetize Solutions and SAP.
Segmentation
The automotive data monetization Market has been analyzed through the following segments:
By Offering
Solution
Services
By Deployment Model
On-premise
Cloud
By Enterprise Size
Small
Medium
Large
By Geography
North America
United States
Canada
Mexico
South America
Brazil
Argentina
Europe
UK
Germany
France
Italy
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Asia Pacific
Japan
China
India
Australia
Others
1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Secondary Sources
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness
5. Automotive Data Monetization Market by Offering
5.1. Solution
5.2. Services
6. Automotive Data Monetization Market by Deployment Model
6.1. On-premise
6.2. Cloud
7. Automotive Data Monetization Market by Enterprise Size
7.1. Small
7.2. Medium
7.3. Large
8. Automotive Data Monetization Market by Geography
8.1. North America
8.1.1. United States
8.1.2. Canada
8.1.3. Mexico
8.2. South America
8.2.1. Brazil
8.2.2. Argentina
8.3. Europe
8.3.1. UK
8.3.2. Germany
8.3.3. France
8.3.4. Italy
8.3.5. Others
8.4. Middle East and Africa
8.4.1. Saudi Arabia
8.4.2. UAE
8.4.3. Israel
8.5. Asia Pacific
8.5.1. Japan
8.5.2. China
8.5.3. India
8.5.4. Australia
8.5.5. Others
9. Competitive Intelligence
9.1. Company Benchamarking and Analysis
9.2. Recent Investments and Deals
9.3. Strategies of Key Players
10. Company Profiles
10.1. Accenture
10.2. Dawex Systems
10.3. Elevondata
10.4. Emu Analytics
10.5. Gemalto
10.6. Google
10.7. IBM
10.8. Infosys
10.9. Monetize Solutions
10.10. SAP
List of Figures
List of Tables
Accenture
Dawex Systems
Elevondata
Emu Analytics
Gemalto
IBM
Infosys
Monetize Solutions
SAP
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