AUTOMOTIVE & TRANSPORTATION
Global Automotive Software Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Automotive Software Market, By Software Layer (Middleware, Operating Systems, Application Software), Software Type (Autonomous Driving Software, Safety & Security Software, Vehicle Management Software, Infotainment Software), Vehicle Type (Two Wheelers, Three Wheelers, Passenger Vehicles, Light Commercial Vehicles, Heavy Duty Trucks, Buses & Coaches, Off-road Vehicles), Software Type (CAD (Computer-Aided Design), CAE (Computer-Aided Engineering), CAM (Computer-Aided Manufacturing), Telematics Software, Diagnostic Software, Vehicle Simulation Software, Embedded Software, Others), Offering (Solutions, Services), Electric Vehicle Type (Battery Electric Vehicles, Hybrid/Plug-in Hybrid Electric Vehicles, Fuel Cell Electric Vehicles), Level of Autonomy (Autonomous, Semi-autonomous), Application (ADAS & Safety Systems, Body Control & Comfort Systems, Infotainment Systems, Engine Management & Powertrain, Vehicle Telematics, V2X Systems, Electric Drive, Autonomous Driving, Charging Management, and Others), End-Use Type (Manufacturer Retail Store, Automotive Dealer, Automotive Repair Store, Auto Part Wholesaler & Agent), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Growing adoption of electric and autonomous vehicles.
- Increasing consumer demand for enhanced safety and infotainment systems.
- High costs associated with developing and maintaining advanced automotive software.
- Concerns over cybersecurity threats and data privacy issues.
- Emerging markets for connected and smart vehicles.
- Expansion in the use of big data analytics for improving vehicle performance.
- Rapidly evolving technology requiring continuous adaptation.
- High competition and pressure to innovate quickly.
SEGMENTATION
- Software Layer
- Middleware
- Operating Systems
- Application Software
- Software Type
- Autonomous Driving Software
- Safety & Security Software
- Vehicle Management Software
- Infotainment Software
- Software Type
- CAD (Computer-Aided Design)
- CAE (Computer-Aided Engineering)
- Finite Element Analysis (FEA)
- Computational Fluid Dynamics (CFD)
- Multibody Dynamics (MBD)
- Others
- CAM (Computer-Aided Manufacturing)
- Telematics Software
- Diagnostic Software
- Vehicle Simulation Software
- Embedded Software
- Others
- Application
- ADAS & Safety Systems
- Body Control & Comfort Systems
- Infotainment Systems
- Engine Management & Powertrain
- Vehicle Telematics
- V2X Systems
- Electric Drive
- Autonomous Driving
- Charging Management
- Others
- Offering
- Solutions
- Services
- Vehicle Type
- Two Wheelers
- Three Wheelers
- Passenger Vehicles
- Hatchbacks
- Sedans
- SUVs
- Light Commercial Vehicles
- Heavy Duty Trucks
- Buses & Coaches
- Off-road Vehicles
- Agriculture Tractors & Equipment
- Construction & Mining Equipment
- Electric Vehicle Type
- Battery Electric Vehicles
- Hybrid/Plug-in Hybrid Electric Vehicles
- Fuel Cell Electric Vehicles
- Level of Autonomy
- Autonomous
- Semi-autonomous
- End-Use Type
- Manufacturer Retail Store
- Automotive Dealer
- Automotive Repair Store
- Auto Part Wholesaler & Agent
- 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
- Airbiquity Inc
- Alphabet Inc.
- BlackBerry Limited
- Continental AG
- DXC Technology Company
- Green Hills Software
- HARMAN International
- Intellias
- KPIT Technologies Ltd
- Microsoft 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 Software Market, by Software Layer
- 3.2 Global Automotive Software Market, by Software Type
- 3.3 Global Automotive Software Market, by Vehicle Type
- 3.4 Global Automotive Software Market, by Software Type
- 3.5 Global Automotive Software Market, by Offering
- 3.6 Global Automotive Software Market, by Electric Vehicle Type
- 3.7 Global Automotive Software Market, by Level of Autonomy
- 3.8 Global Automotive Software Market, by Application
- 3.9 Global Automotive Software Market, by End-Use Type
- 3.10 Global Automotive Software Market, by Geography
- 3.11 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 Increased integration of AI and machine learning for enhanced vehicle functionalities.
- 5.1.2 Advancements in cloud computing and IoT technologies.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Growing adoption of electric and autonomous vehicles.
- 5.2.2 Increasing consumer demand for enhanced safety and infotainment systems.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High costs associated with developing and maintaining advanced automotive software.
- 5.3.2 Concerns over cybersecurity threats and data privacy issues.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Emerging markets for connected and smart vehicles.
- 5.4.2 Expansion in the use of big data analytics for improving vehicle performance.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Rapidly evolving technology requiring continuous adaptation.
- 5.5.2 High competition and pressure to innovate quickly.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY SOFTWARE LAYER
- 6.1 Software Layer Summary
- 6.2 Market Attractive Index
- 6.3 Global Automotive Software Market, by Software Layer (2019-2032)
- SECTION 7 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY SOFTWARE TYPE
- 7.1 Software Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Automotive Software Market, by Software Type (2019-2032)
- SECTION 8 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY VEHICLE TYPE
- 8.1 Vehicle Type Summary
- 8.2 Market Attractive Index
- 8.3 Global Automotive Software Market, by Vehicle Type (2019-2032)
- SECTION 9 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY SOFTWARE TYPE
- 9.1 Software Type Summary
- 9.2 Market Attractive Index
- 9.3 Global Automotive Software Market, by Software Type (2019-2032)
- SECTION 10 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY OFFERING
- 10.1 Offering Summary
- 10.2 Market Attractive Index
- 10.3 Global Automotive Software Market, by Offering (2019-2032)
- SECTION 11 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY ELECTRIC VEHICLE TYPE
- 11.1 Electric Vehicle Type Summary
- 11.2 Market Attractive Index
- 11.3 Global Automotive Software Market, by Electric Vehicle Type (2019-2032)
- SECTION 12 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY LEVEL OF AUTONOMY
- 12.1 Level of Autonomy Summary
- 12.2 Market Attractive Index
- 12.3 Global Automotive Software Market, by Level of Autonomy (2019-2032)
- SECTION 13 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY APPLICATION
- 13.1 Application Summary
- 13.2 Market Attractive Index
- 13.3 Global Automotive Software Market, by Application (2019-2032)
- SECTION 14 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY END-USE TYPE
- 14.1 End-Use Type Summary
- 14.2 Market Attractive Index
- 14.3 Global Automotive Software Market, by End-Use Type (2019-2032)
- SECTION 15 - GLOBAL AUTOMOTIVE SOFTWARE MARKET, BY GEOGRAPHY
- 15.1 Regional Summary
- 15.2 Market Attractive Index
- 15.3 Global Automotive Software Market, by Geography (2019-2032)
- SECTION 16 - NORTH AMERICA AUTOMOTIVE SOFTWARE MARKET
- 16.1 North America Summary
- 16.2 Market Attractive Index
- 16.3 North America Automotive Software Market, by Software Layer (2019-2032)
- 16.4 North America Automotive Software Market, by Software Type (2019-2032)
- 16.5 North America Automotive Software Market, by Vehicle Type (2019-2032)
- 16.6 North America Automotive Software Market, by Software Type (2019-2032)
- 16.7 North America Automotive Software Market, by Offering (2019-2032)
- 16.8 North America Automotive Software Market, by Electric Vehicle Type (2019-2032)
- 16.9 North America Automotive Software Market, by Level of Autonomy (2019-2032)
- 16.10 North America Automotive Software Market, by Application (2019-2032)
- 16.11 North America Automotive Software Market, by End-Use Type (2019-2032)
- 16.12 North America Automotive Software Market, by Country (2019-2032)
- 16.12.1 U.S.
- 16.12.2 Canada
- 16.12.3 Mexico
- 16.12.4 Rest of North America
- SECTION 17 - EUROPE AUTOMOTIVE SOFTWARE MARKET
- 17.1 Europe Summary
- 17.2 Market Attractive Index
- 17.3 Europe Automotive Software Market, by Software Layer (2019-2032)
- 17.4 Europe Automotive Software Market, by Software Type (2019-2032)
- 17.5 Europe Automotive Software Market, by Vehicle Type (2019-2032)
- 17.6 Europe Automotive Software Market, by Software Type (2019-2032)
- 17.7 Europe Automotive Software Market, by Offering (2019-2032)
- 17.8 Europe Automotive Software Market, by Electric Vehicle Type (2019-2032)
- 17.9 Europe Automotive Software Market, by Level of Autonomy (2019-2032)
- 17.10 Europe Automotive Software Market, by Application (2019-2032)
- 17.11 Europe Automotive Software Market, by End-Use Type (2019-2032)
- 17.12 Europe Automotive Software Market, by Country (2019-2032)
- 17.12.1 Germany
- 17.12.2 U.K.
- 17.12.3 France
- 17.12.4 Italy
- 17.12.5 Spain
- 17.12.6 Russia
- 17.12.7 The Netherlands
- 17.12.8 Belgium
- 17.12.9 Turkey
- 17.12.10 Rest of Europe
- SECTION 18 - ASIA-PACIFIC AUTOMOTIVE SOFTWARE MARKET
- 18.1 Asia-Pacific Summary
- 18.2 Market Attractive Index
- 18.3 Asia-Pacific Automotive Software Market, by Software Layer (2019-2032)
- 18.4 Asia-Pacific Automotive Software Market, by Software Type (2019-2032)
- 18.5 Asia-Pacific Automotive Software Market, by Vehicle Type (2019-2032)
- 18.6 Asia-Pacific Automotive Software Market, by Software Type (2019-2032)
- 18.7 Asia-Pacific Automotive Software Market, by Offering (2019-2032)
- 18.8 Asia-Pacific Automotive Software Market, by Electric Vehicle Type (2019-2032)
- 18.9 Asia-Pacific Automotive Software Market, by Level of Autonomy (2019-2032)
- 18.10 Asia-Pacific Automotive Software Market, by Application (2019-2032)
- 18.11 Asia-Pacific Automotive Software Market, by End-Use Type (2019-2032)
- 18.12 Asia-Pacific Automotive Software Market, by Country (2019-2032)
- 18.12.1 China
- 18.12.2 India
- 18.12.3 Japan
- 18.12.4 South Korea
- 18.12.5 Singapore
- 18.12.6 Malaysia
- 18.12.7 Australia
- 18.12.8 Thailand
- 18.12.9 Philippines
- 18.12.10 Rest of Asia-Pacific
- SECTION 19 - SOUTH AMERICA AUTOMOTIVE SOFTWARE MARKET
- 19.1 South America Summary
- 19.2 Market Attractive Index
- 19.3 South America Automotive Software Market, by Software Layer (2019-2032)
- 19.4 South America Automotive Software Market, by Software Type (2019-2032)
- 19.5 South America Automotive Software Market, by Vehicle Type (2019-2032)
- 19.6 South America Automotive Software Market, by Software Type (2019-2032)
- 19.7 South America Automotive Software Market, by Offering (2019-2032)
- 19.8 South America Automotive Software Market, by Electric Vehicle Type (2019-2032)
- 19.9 South America Automotive Software Market, by Level of Autonomy (2019-2032)
- 19.10 South America Automotive Software Market, by Application (2019-2032)
- 19.11 South America Automotive Software Market, by End-Use Type (2019-2032)
- 19.12 South America Automotive Software Market, by Country (2019-2032)
- 19.12.1 Brazil
- 19.12.2 Argentina
- 19.12.3 Chile
- 19.12.4 Colombia
- 19.12.5 Rest of South America
- SECTION 20 - MIDDLE EAST AND AFRICA AUTOMOTIVE SOFTWARE MARKET
- 20.1 Middle East and Africa Summary
- 20.2 Market Attractive Index
- 20.3 Middle East and Africa Automotive Software Market, by Software Layer (2019-2032)
- 20.4 Middle East and Africa Automotive Software Market, by Software Type (2019-2032)
- 20.5 Middle East and Africa Automotive Software Market, by Vehicle Type (2019-2032)
- 20.6 Middle East and Africa Automotive Software Market, by Software Type (2019-2032)
- 20.7 Middle East and Africa Automotive Software Market, by Offering (2019-2032)
- 20.8 Middle East and Africa Automotive Software Market, by Electric Vehicle Type (2019-2032)
- 20.9 Middle East and Africa Automotive Software Market, by Level of Autonomy (2019-2032)
- 20.10 Middle East and Africa Automotive Software Market, by Application (2019-2032)
- 20.11 Middle East and Africa Automotive Software Market, by End-Use Type (2019-2032)
- 20.12 Middle East and Africa Automotive Software Market, by Country (2019-2032)
- 20.12.1 Kingdom of Saudi Arabia
- 20.12.2 South Africa
- 20.12.3 U.A.E.
- 20.12.4 Egypt
- 20.12.5 Rest of Middle East and Africa
- SECTION 21 - COMPANY SHARE ANALYSIS
- 21.1 Global Automotive Software Market, Company Share Analysis
- 21.2 North America Automotive Software Market, Company Share Analysis
- 21.3 Europe Automotive Software Market, Company Share Analysis
- 21.4 Asia-Pacific Automotive Software Market, Company Share Analysis
- SECTION 22 - COMPANY PROFILES
- 22.1 Airbiquity Inc
- 22.1.1 Company Snapshot
- 22.1.2 Financial Overview
- 22.1.3 Product Portfolio
- 22.1.4 Recent Developments
- 22.2 Alphabet Inc.
- 22.2.1 Company Snapshot
- 22.2.2 Financial Overview
- 22.2.3 Product Portfolio
- 22.2.4 Recent Developments
- 22.3 BlackBerry Limited
- 22.3.1 Company Snapshot
- 22.3.2 Financial Overview
- 22.3.3 Product Portfolio
- 22.3.4 Recent Developments
- 22.4 Continental AG
- 22.4.1 Company Snapshot
- 22.4.2 Financial Overview
- 22.4.3 Product Portfolio
- 22.4.4 Recent Developments
- 22.5 DXC Technology Company
- 22.5.1 Company Snapshot
- 22.5.2 Financial Overview
- 22.5.3 Product Portfolio
- 22.5.4 Recent Developments
- 22.6 Green Hills Software
- 22.6.1 Company Snapshot
- 22.6.2 Financial Overview
- 22.6.3 Product Portfolio
- 22.6.4 Recent Developments
- 22.7 HARMAN International
- 22.7.1 Company Snapshot
- 22.7.2 Financial Overview
- 22.7.3 Product Portfolio
- 22.7.4 Recent Developments
- 22.8 Intellias
- 22.8.1 Company Snapshot
- 22.8.2 Financial Overview
- 22.8.3 Product Portfolio
- 22.8.4 Recent Developments
- 22.9 KPIT Technologies Ltd
- 22.9.1 Company Snapshot
- 22.9.2 Financial Overview
- 22.9.3 Product Portfolio
- 22.9.4 Recent Developments
- 22.10 Microsoft Corporation
- 22.10.1 Company Snapshot
- 22.10.2 Financial Overview
- 22.10.3 Product Portfolio
- 22.10.4 Recent Developments
- SECTION 23 - RELATED REPORTS
- SECTION 24 - 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.