AUTOMOTIVE & TRANSPORTATION
Global Automotive e-Call Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Automotive e-Call Market, By Trigger Type (Manually Initiated eCall (MIeC), Automatically Initiated eCall (AIeC)), Vehicle Type (Passenger Cars, Commercial Vehicles), Propulsion Type (IC Engine, Electric), Installation (Third-party service (TPS) eCall, Standard eCall), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Rising concerns over road safety and emergency response times.
- Growing automotive industry focus on consumer safety and technological innovation.
- High implementation and maintenance costs.
- Variability in regulatory standards across regions.
- Expansion in emerging markets with increasing vehicle ownership.
- Integration with other automotive technologies like autonomous driving.
- Ensuring data privacy and security for emergency communications.
- Technical issues related to system reliability and compatibility.
SEGMENTATION
- Trigger Type
- Manually Initiated eCall (MIeC)
- Automatically Initiated eCall (AIeC)
- Vehicle Type
- Passenger Cars
- Commercial Vehicles
- Propulsion Type
- IC Engine
- Electric
- Installation
- Third-party service (TPS) eCall
- Standard eCall
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Continental AG
- Robert Bosch GmbH
- Telit
- Thales Group
- STMicroelectronics
- u-blox
- Texas Instruments Incorporated
- Valeo
- Infineon Technologies AG
- Visteon Corporation
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Automotive e-Call Market, by Trigger Type
- 3.2 Global Automotive e-Call Market, by Vehicle Type
- 3.3 Global Automotive e-Call Market, by Propulsion Type
- 3.4 Global Automotive e-Call Market, by Installation
- 3.5 Global Automotive e-Call Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Advancements in AI and machine learning for enhanced e-Call services.
- 5.1.2 Growing adoption of connected vehicles and telematics.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Rising concerns over road safety and emergency response times.
- 5.2.2 Growing automotive industry focus on consumer safety and technological innovation.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High implementation and maintenance costs.
- 5.3.2 Variability in regulatory standards across regions.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion in emerging markets with increasing vehicle ownership.
- 5.4.2 Integration with other automotive technologies like autonomous driving.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Ensuring data privacy and security for emergency communications.
- 5.5.2 Technical issues related to system reliability and compatibility.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUTOMOTIVE E-CALL MARKET, BY TRIGGER TYPE
- 6.1 Trigger Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Automotive e-Call Market, by Trigger Type (2019-2032)
- SECTION 7 - GLOBAL AUTOMOTIVE E-CALL MARKET, BY VEHICLE TYPE
- 7.1 Vehicle Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Automotive e-Call Market, by Vehicle Type (2019-2032)
- SECTION 8 - GLOBAL AUTOMOTIVE E-CALL MARKET, BY PROPULSION TYPE
- 8.1 Propulsion Type Summary
- 8.2 Market Attractive Index
- 8.3 Global Automotive e-Call Market, by Propulsion Type (2019-2032)
- SECTION 9 - GLOBAL AUTOMOTIVE E-CALL MARKET, BY INSTALLATION
- 9.1 Installation Summary
- 9.2 Market Attractive Index
- 9.3 Global Automotive e-Call Market, by Installation (2019-2032)
- SECTION 10 - GLOBAL AUTOMOTIVE E-CALL MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Automotive e-Call Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA AUTOMOTIVE E-CALL MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Automotive e-Call Market, by Trigger Type (2019-2032)
- 11.4 North America Automotive e-Call Market, by Vehicle Type (2019-2032)
- 11.5 North America Automotive e-Call Market, by Propulsion Type (2019-2032)
- 11.6 North America Automotive e-Call Market, by Installation (2019-2032)
- 11.7 North America Automotive e-Call Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE AUTOMOTIVE E-CALL MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Automotive e-Call Market, by Trigger Type (2019-2032)
- 12.4 Europe Automotive e-Call Market, by Vehicle Type (2019-2032)
- 12.5 Europe Automotive e-Call Market, by Propulsion Type (2019-2032)
- 12.6 Europe Automotive e-Call Market, by Installation (2019-2032)
- 12.7 Europe Automotive e-Call Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC AUTOMOTIVE E-CALL MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Automotive e-Call Market, by Trigger Type (2019-2032)
- 13.4 Asia-Pacific Automotive e-Call Market, by Vehicle Type (2019-2032)
- 13.5 Asia-Pacific Automotive e-Call Market, by Propulsion Type (2019-2032)
- 13.6 Asia-Pacific Automotive e-Call Market, by Installation (2019-2032)
- 13.7 Asia-Pacific Automotive e-Call Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA AUTOMOTIVE E-CALL MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Automotive e-Call Market, by Trigger Type (2019-2032)
- 14.4 South America Automotive e-Call Market, by Vehicle Type (2019-2032)
- 14.5 South America Automotive e-Call Market, by Propulsion Type (2019-2032)
- 14.6 South America Automotive e-Call Market, by Installation (2019-2032)
- 14.7 South America Automotive e-Call Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA AUTOMOTIVE E-CALL MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Automotive e-Call Market, by Trigger Type (2019-2032)
- 15.4 Middle East and Africa Automotive e-Call Market, by Vehicle Type (2019-2032)
- 15.5 Middle East and Africa Automotive e-Call Market, by Propulsion Type (2019-2032)
- 15.6 Middle East and Africa Automotive e-Call Market, by Installation (2019-2032)
- 15.7 Middle East and Africa Automotive e-Call Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Automotive e-Call Market, Company Share Analysis
- 16.2 North America Automotive e-Call Market, Company Share Analysis
- 16.3 Europe Automotive e-Call Market, Company Share Analysis
- 16.4 Asia-Pacific Automotive e-Call Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 Continental AG
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 Robert Bosch GmbH
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Telit
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Thales Group
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 STMicroelectronics
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 U-blox
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 Texas Instruments Incorporated
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 Valeo
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 Infineon Technologies AG
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 Visteon Corporation
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.