ドイツの自動車データの収益化市場予測　2023-2030年

KEY FINDINGS
The Germany automotive data monetization market is predicted to develop with a CAGR of 34.91% during the forecast years. The expanding demand for connected vehicles in the region stems from various factors, notably the high awareness of the advantages associated with connected vehicles, such as enhanced safety and convenience.

REPORT SYNOPSIS

MARKET INSIGHTS
Germany’s automotive sector serves as a pivotal industry within the nation, positioned as the leading market and manufacturer in Europe. This sector not only holds a significant role as a global export leader but also acts as a catalyst for advancements and innovations in mobility. The automotive data monetization market in Germany holds lucrative opportunities for automotive enterprises, data firms, and governmental bodies. Automotive companies can exploit data to augment their offerings, reduce expenses, and pioneer novel business models. Data-centric enterprises possess the potential to craft innovative, data-driven solutions tailored for the automotive sector.
Simultaneously, government agencies can harness data to enhance traffic management, alleviate congestion, and improve road safety measures. Germany, home to globally renowned automotive manufacturers and a robust technology sector, creates a conducive environment for the convergence of these factors. This convergence, coupled with the increasing acceptance of connected vehicles and advancements in autonomous driving, establishes a significant environment for the monetization of automotive data in Germany.

COMPETITIVE INSIGHTS
Major companies operating in the market are Otonomo Technologies Ltd, Continental AG, Harman International, etc.
Our report offerings include:

• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• The competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

Table of Contents

1. RESEARCH SCOPE & METHODOLOGY
   1.1. STUDY OBJECTIVES
   1.2. SCOPE OF STUDY
   1.3. METHODOLOGY
   1.4. ASSUMPTIONS & LIMITATIONS
2. EXECUTIVE SUMMARY
   2.1. MARKET SIZE & ESTIMATES
   2.2. COUNTRY SNAPSHOT
   2.3. COUNTRY ANALYSIS
   2.4. KEY GROWTH ENABLERS
   2.5. KEY CHALLENGES
   2.6. MAJOR MARKET FINDINGS
3. KEY ANALYTICS
   3.1. KEY MARKET TRENDS
   3.2. PESTLE ANALYSIS
   3.2.1. POLITICAL
   3.2.2. ECONOMICAL
   3.2.3. SOCIAL
   3.2.4. TECHNOLOGICAL
   3.2.5. LEGAL
   3.2.6. ENVIRONMENT
   3.3. PORTER’S FIVE FORCES ANALYSIS
   3.3.1. BUYERS POWER
   3.3.2. SUPPLIERS POWER
   3.3.3. SUBSTITUTION
   3.3.4. NEW ENTRANTS
   3.3.5. INDUSTRY RIVALRY
   3.4. MARKET CONCENTRATION ANALYSIS
   3.5. VALUE CHAIN ANALYSIS
   3.5.1. DATA AGGREGATORS
   3.5.2. AUTOMOTIVE OEMS
   3.5.3. CUSTOMERS
4. MARKET BY MODEL
   4.1. DIRECT
   4.1.1. MARKET FORECAST FIGURE
   4.1.2. SEGMENT ANALYSIS
   4.2. INDIRECT
   4.2.1. MARKET FORECAST FIGURE
   4.2.2. SEGMENT ANALYSIS
5. MARKET BY DEPLOYMENT
   5.1. CLOUD
   5.1.1. MARKET FORECAST FIGURE
   5.1.2. SEGMENT ANALYSIS
   5.2. ON-PREMISES
   5.2.1. MARKET FORECAST FIGURE
   5.2.2. SEGMENT ANALYSIS
6. MARKET BY APPLICATION
   6.1. INSURANCE
   6.1.1. MARKET FORECAST FIGURE
   6.1.2. SEGMENT ANALYSIS
   6.2. MOBILITY AS A SERVICE (MAAS)
   6.2.1. MARKET FORECAST FIGURE
   6.2.2. SEGMENT ANALYSIS
   6.3. PREDICTIVE MAINTENANCE
   6.3.1. MARKET FORECAST FIGURE
   6.3.2. SEGMENT ANALYSIS
   6.4. GOVERNMENT
   6.4.1. MARKET FORECAST FIGURE
   6.4.2. SEGMENT ANALYSIS
7. COMPETITIVE LANDSCAPE
   7.1. KEY STRATEGIC DEVELOPMENTS
   7.1.1. MERGERS & ACQUISITIONS
   7.1.2. PRODUCT LAUNCHES & DEVELOPMENTS
   7.1.3. PARTNERSHIPS & AGREEMENTS
   7.1.4. BUSINESS EXPANSIONS & DIVESTITURES
   7.2. COMPANY PROFILES
   7.2.1. CARUSO GMBH
   7.2.1.1. COMPANY OVERVIEW
   7.2.1.2. PRODUCTS LIST
   7.2.2. CONTINENTAL AG
   7.2.2.1. COMPANY OVERVIEW
   7.2.2.2. PRODUCTS LIST
   7.2.2.3. STRENGTHS & CHALLENGES
   7.2.3. HARMAN INTERNATIONAL
   7.2.3.1. COMPANY OVERVIEW
   7.2.3.2. PRODUCTS LIST
   7.2.3.3. STRENGTHS & CHALLENGES
   7.2.4. MICROSOFT CORPORATION
   7.2.4.1. COMPANY OVERVIEW
   7.2.4.2. PRODUCTS LIST
   7.2.4.3. STRENGTHS & CHALLENGES
   7.2.5. OTONOMO TECHNOLOGIES LTD
   7.2.5.1. COMPANY OVERVIEW
   7.2.5.2. PRODUCTS LIST
   7.2.5.3. STRENGTHS & CHALLENGES
   7.2.6. XEVO (LEAR CORPORATION)
   7.2.6.1. COMPANY OVERVIEW
   7.2.6.2. PRODUCTS LIST

LIST OF TABLES
TABLE 1: MARKET SNAPSHOT – AUTOMOTIVE DATA MONETIZATION
TABLE 2: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY MODEL, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 3: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY MODEL, FORECAST YEARS, 2023-2030 (IN $ MILLION)
TABLE 4: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY DEPLOYMENT, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 5: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY DEPLOYMENT, FORECAST YEARS, 2023-2030 (IN $ MILLION)
TABLE 6: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 7: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY APPLICATION, FORECAST YEARS, 2023-2030 (IN $ MILLION)
TABLE 8: LIST OF MERGERS & ACQUISITIONS
TABLE 9: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS
TABLE 10: LIST OF PARTNERSHIPS & AGREEMENTS
TABLE 11: LIST OF BUSINESS EXPANSIONS & DIVESTITURES

LIST OF FIGURES
FIGURE 1: KEY MARKET TRENDS
FIGURE 2: PORTER’S FIVE FORCES ANALYSIS
FIGURE 3: MARKET CONCENTRATION ANALYSIS
FIGURE 4: VALUE CHAIN ANALYSIS
FIGURE 5: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, GROWTH POTENTIAL, BY MODEL, IN 2022
FIGURE 6: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY DIRECT, 2023-2030 (IN $ MILLION)
FIGURE 7: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY INDIRECT, 2023-2030 (IN $ MILLION)
FIGURE 8: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, GROWTH POTENTIAL, BY DEPLOYMENT, IN 2022
FIGURE 9: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY CLOUD, 2023-2030 (IN $ MILLION)
FIGURE 10: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY ON-PREMISES, 2023-2030 (IN $ MILLION)
FIGURE 11: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2022
FIGURE 12: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY INSURANCE, 2023-2030 (IN $ MILLION)
FIGURE 13: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY MOBILITY AS A SERVICE (MAAS), 2023-2030 (IN $ MILLION)
FIGURE 14: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY PREDICTIVE MAINTENANCE, 2023-2030 (IN $ MILLION)
FIGURE 15: GERMANY AUTOMOTIVE DATA MONETIZATION MARKET, BY GOVERNMENT, 2023-2030 (IN $ MILLION)