Charging data are collected from one of three sources, each with varying levels of additional information. These sources, in approximate order from most to least additional information, are: • The electric vehicle supply equipment (charger) • Onboard the vehicle itself • From a utility submeter. Many chargers provide software that allows for the collection and reporting of charging session data. If unavailable, data may be recorded by the charging vehicle’s onboard systems. If neither of these options is available, data can be acquired from utility submeters that simply track the energy flowing to one or more chargers. Data collected directly from the electric vehicle supply equipment (EVSE) are typically the most accurate and highest frequency. However, it is not always possible to discern which exact vehicle is being charged during any one session. EVSE-side data can be identified where a single charger ID but a range of vehicle IDs are present (e.g., CH001, EV001-EV005). Data collected from the vehicle’s onboard systems usually does not provide information on which exact charger is being used. Vehicle-side data can be identified where a single Vehicle ID but a range of Charger IDs are present (e.g., EV001, CH001-CH005). Data collected from utility submeters provide no information on which specific vehicle is charging or which specific charger is in use. Submeter data can be identified where multiple Vehicle IDs and multiple Charger IDs are present, but only a single Fleet ID is present (e.g., EV001-EV005, CH001-CH005, Fleet01). The Charge Data Daily/Session Dictionaries contains definitions for each available parameter collected as part of an individual charging session, aggregated at either a daily or session level. The parameters available will vary between vehicles and chargers. The Charger Attributes table contains specific charger characteristics, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. The Charger Attributes Data Dictionary contains definitions for each available parameter collected on the physical and operational characteristics of the charging hardware itself. The Vehicle Attributes Data Dictionary contains definitions for each available parameter associated with a vehicle’s physical and functional attributes and fleet context. The Vehicle Attributes table contains specific vehicle characteristics, coded to an anonymous Vehicle ID. This Vehicle ID can be used as a key between vehicle data and vehicle attribute tables, and in cases where charging data are supplied, links a vehicle with the charger(s) that supplied it power. The Charging Data tables contain the data from each charger’s operations, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. Data is being uploaded quarterly through 2023 and subject to change until the conclusion of the project.
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The National Renewable Energy Laboratory (NREL) maintains a database of state and federal laws and incentives related to alternative fuels and vehicles, air quality, vehicle efficiency, and other transportation-related topics. State-level information is updated annually after each state's legislative session ends; necessary updates may be made independent of the legislative session schedule. Information for these updates is obtained from state legislative websites when the sites are deemed accurate and timely or by calling specific state offices directly. In addition, NREL maintains a resource list of the most useful websites and contacts for every state, as well as a list of search terms states routinely used in website searches. Tangible and unique financial incentives that utilities and private organizations offer are also included in the database. Please note that there are many other incentives that utilities and private organizations offer, including training, consulting, feasibility studies, and technical assistance among others, and not all of these are included in this database due to the significant number of entities now offering these services to existing and potential customers.
Relevant federal information is added to or updated in the database after legislation is signed into law or when agencies issue final rules. Existing information is reviewed at the same time new information is added to ensure it is still accurate and in effect.
The database also includes expired, repealed, and archived laws and incentives. If a description is archived, that does not necessarily mean it has expired, as there are different circumstances behind each of the categories. A state grant program archived in the database, for example, may still be "on the books" but has been archived because the relevant state has not appropriated program funding for several years.
Caution: The Alternative Fuels Data Center recommends that users verify with the appropriate state or federal authority that the specific law or incentive is still applicable before making a purchase or tax-related decision.
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License information was derived automatically
Since the launch of the iZEV Program on May 1, 2019, Transport Canada has been producing statistics on consumer uptake under the program for the following variables: - Province/territory or all of Canada - Province/territory and postal code of the dealership each vehicle was purchased/leased from - Make and/or model (including model year) - Engine type (i.e., 100% battery electric versus plug-in hybrids - both over and under 50 km of electric range.) - Recipient type (i.e., individual or organization and purchase or lease) - A time period, including: * A specific month * Ranges of months (e.g., June 2020 to January 2021) * Calendar year (January 1 to December 31) * The Government of Canada’s fiscal year (April 1 to March 31) The current data provides iZEV monthly statistics. Revisions of archived data will be updated quarterly, these revisions are generally minor and are mainly due to approval of incentive requests that were incomplete when first submitted to Transport Canada. Most revisions are typically from the most recent three-month period. If you have any questions, please contact us at iZEV-iVZE@tc.gc.ca
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 27.46(USD Billion) |
MARKET SIZE 2024 | 31.11(USD Billion) |
MARKET SIZE 2032 | 84.6(USD Billion) |
SEGMENTS COVERED | Automotive System ,Development Technology ,Software Type ,Vehicle Type ,Embedded Software ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rise in autonomous driving Growing demand for connected cars Increasing electrification of vehicles Need for improved safety and security Stricter government regulations |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Elektrobit ,M31 Technologies ,Vector Informatik ,Kalray ,IAV ,Qualcomm Technologies ,Infineon Technologies ,Synopsys ,Mentor, a Siemens Business ,Ansys ,KPIT Technologies ,Microchip Technology ,NXP Semiconductors ,Parasoft ,ETAS |
MARKET FORECAST PERIOD | 2024 - 2032 |
KEY MARKET OPPORTUNITIES | 1 Increasing demand for autonomous vehicles 2 Growing need for softwaredefined vehicles 3 Rising adoption of advanced driver assistance systems 4 Emergence of electric and hybrid vehicles 5 Increasing focus on vehicle cybersecurity |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 13.32% (2024 - 2032) |
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The global auto repair software market size was valued at approximately USD 1.3 billion in 2023 and is projected to reach around USD 2.8 billion by 2032, growing at a CAGR of 8.5% during the forecast period. The significant growth factor driving this market is the increasing digitization within the automotive repair industry, alongside the growing need for efficient management of repair operations.
One of the primary growth drivers of the auto repair software market is the rising adoption of cloud-based solutions. These solutions offer numerous benefits, including scalability, cost efficiency, and ease of access, making them highly favorable among small and medium-sized enterprises (SMEs) as well as large enterprises. The ability to access data remotely and in real time is revolutionizing the way auto repair shops manage their operations, leading to improved customer satisfaction and reduced turnaround times. Furthermore, the continuous advancements in cloud technology and increasing internet penetration are anticipated to bolster market growth.
Another significant factor contributing to the market's growth is the increasing complexity of modern vehicles, which necessitates the use of sophisticated software to diagnose and repair issues effectively. Auto repair software solutions provide extensive databases, diagnostic tools, and integration capabilities that support technicians in handling these complexities. The rapid evolution of automotive technology, including the adoption of electric and autonomous vehicles, is further expected to drive the demand for advanced auto repair software solutions.
The growing emphasis on operational efficiency and profitability among automotive service providers is also propelling market expansion. Auto repair software assists in streamlining various processes, such as inventory management, billing and invoicing, service history tracking, and appointment scheduling. These features not only enhance the overall efficiency of repair shops but also contribute to reducing operational costs and increasing revenue generation. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) in these software solutions is anticipated to provide predictive maintenance insights, further enhancing their utility and market adoption.
In the realm of automotive repairs, Auto Collision Estimating Software has emerged as a pivotal tool for repair shops aiming to enhance their service delivery. This software provides detailed estimates for collision repairs, enabling technicians to assess damage accurately and efficiently. By integrating with existing auto repair software systems, it streamlines the estimation process, reducing the time taken to generate quotes and improving customer satisfaction. The precision offered by such software not only aids in maintaining transparency with clients but also helps in optimizing repair costs by providing accurate parts and labor estimates. As the complexity of vehicle designs increases, the reliance on sophisticated estimating tools becomes even more crucial for collision repair businesses.
Regionally, North America is expected to dominate the auto repair software market due to the high concentration of automotive service providers and the early adoption of advanced technologies in the region. The presence of key market players and the increasing demand for efficient repair management solutions are contributing to this dominance. Additionally, the Asia Pacific region is projected to witness significant growth during the forecast period, driven by the expanding automotive industry, increasing number of vehicles on the road, and rising awareness regarding digital solutions among repair shops.
The deployment type segment of the auto repair software market is bifurcated into on-premises and cloud-based solutions. On-premises solutions involve the installation of software on local servers, providing users with complete control over their data and operations. This deployment model is preferred by larger enterprises with substantial IT infrastructure, capable of handling the associated maintenance and security requirements. Despite its benefits, the on-premises model faces challenges such as higher upfront costs, limited scalability, and the need for regular updates and maintenance.
Zero Emission Vehicle Infrastructure Program (ZEVIP) and Electric Vehicle and Alternative Fuel Infrastructure Deployment Initiative (EVAFIDI) qualitative, quantitative, and geographic data set derived from the program database. This data defines the project number, the number of chargers, the name of the promoter, the type of connector, the address, the city, the province, the postal code, the geographical coordinates, the status, the opening date, and the type of contribution agreement for each project funded by the program. The Canada Infrastructure Bank’s (CIB) Charging and Hydrogen Refuelling Infrastructure Initiative (CHRI) aims to reduce transportation sector greenhouse gas emissions by accelerating the private sector’s rollout of large-scale ZEV chargers and hydrogen refuelling stations, helping to spur the market for private investment. Through this initiative, the CIB has dedicated a minimum of $500 million to support the federal government’s goals as part of Canada’s 2030 Emissions Reduction Plan.
Zero Emission Vehicle Infrastructure Program (ZEVIP) and Electric Vehicle and Alternative Fuel Infrastructure Deployment Initiative (EVAFIDI) qualitative, quantitative, and geographic data set derived from the program database. This data defines the project number, the number of chargers, the name of the promoter, the type of connector, the address, the city, the province, the postal code, the geographical coordinates, the status, the opening date, and the type of contribution agreement for each project funded by the program. The Canada Infrastructure Bank’s (CIB) Charging and Hydrogen Refuelling Infrastructure Initiative (CHRI) aims to reduce transportation sector greenhouse gas emissions by accelerating the private sector’s rollout of large-scale ZEV chargers and hydrogen refuelling stations, helping to spur the market for private investment. Through this initiative, the CIB has dedicated a minimum of $500 million to support the federal government’s goals as part of Canada’s 2030 Emissions Reduction Plan.
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The global automotive telematics module market size is projected to grow from USD 30 billion in 2023 to USD 75 billion by 2032, exhibiting a robust CAGR of 10.5% during the forecast period. This remarkable growth can be attributed to the increasing adoption of advanced telematics solutions across the automotive industry to enhance vehicle connectivity, safety, and efficiency.
The surge in demand for connected vehicles, driven by advancements in technology and consumer preference for smart solutions, is a significant growth factor for the automotive telematics module market. Telematics systems offer critical benefits such as real-time vehicle tracking, predictive maintenance alerts, and enhanced driver assistance, which appeal to both individual consumers and fleet operators. The integration of Internet of Things (IoT) technology in automotive systems further propels this growth by enabling seamless communication between vehicles and infrastructure, leading to improved traffic management and reduced congestion.
Another crucial factor contributing to the market's growth is the stringent government regulations and safety norms across various regions. Governments worldwide are implementing policies to improve road safety and reduce traffic accidents, which necessitate the incorporation of telematics modules in vehicles. These regulations mandate features such as emergency call systems, stolen vehicle tracking, and driver behavior monitoring, thereby driving the market. Additionally, insurance companies are increasingly adopting telematics-based usage-based insurance models, which incentivize safe driving and further boost the demand for telematics modules.
Additionally, the growing trend of fleet management solutions in logistics and transportation sectors significantly contributes to market expansion. Fleet operators leverage telematics technology to optimize route planning, monitor vehicle health, and manage driver performance, leading to operational efficiency and cost savings. The advent of electric and autonomous vehicles also presents new opportunities for telematics module applications, as these vehicles require sophisticated connectivity solutions for navigation, control, and communication.
Regionally, North America and Europe currently dominate the market due to the high penetration of advanced automotive technologies and stringent regulatory frameworks. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid urbanization, expanding automotive industry, and increasing disposable incomes in countries like China and India drive the demand for telematics solutions. Furthermore, government initiatives promoting smart city projects and connected infrastructure in these regions are anticipated to accelerate market growth.
The automotive telematics module market is segmented by components into hardware, software, and services. Hardware components such as sensors, GPS tracking devices, and control units form the backbone of telematics systems. These components are essential for collecting and transmitting data from the vehicle to the central database for analysis and monitoring. The demand for advanced hardware components is on the rise, driven by the need for more accurate and reliable data collection to enhance vehicle performance and safety.
Software is another critical component in the automotive telematics module market. It encompasses the various applications and programs that interpret the data collected by the hardware. This includes fleet management systems, driver behavior monitoring software, navigation software, and more. The software segment is expected to witness significant growth due to the increasing need for sophisticated analytics and user-friendly interfaces that provide actionable insights to both individual users and fleet managers.
Services related to telematics modules include installation, maintenance, and subscription-based services. As the market for telematics modules expands, the demand for these services is also expected to grow. Service providers play a crucial role in ensuring the seamless integration and operation of telematics systems in vehicles. They offer support for troubleshooting, regular updates, and system upgrades, which are essential for maintaining the efficiency and effectiveness of telematics solutions.
The interplay between these components is vital for the overall functionality of telematics systems. While ha
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The Vehicle System on Chip SoC market is projected to grow from USD XX million in 2022 to USD XX million by 2030, at a CAGR of XX%. The base year considered for the study is 2017 and the forecast period is from 2018 to 2030. The Vehicle System on Chip SoC market has been segmented based on type, application, and region. Based on type, the market has been segmented into navigation systems, microchips, and others. Based on application, the market has been segmented into passenger vehicles and commercial vehicles.
A Vehicle System on Chip (SoC) is an integrated circuit (IC) that contains all the necessary electronic components for a vehicle's operation. These components include a microprocessor, memory, input/output (I/O) interfaces, and power management circuitry. This single chip eliminates the need for a separate motherboard and allows all the components to communicate with each other directly.
A Navigation System in-vehicle system on chip SoC is a complete system that helps a driver navigate from one location to another. It typically includes a GPS receiver, a map database, and software that calculates routes and provides turn-by-turn directions. This type of system can be integrated into a vehicle's infotainment system, or it can be a standalone device.
A microchip is a single integrated circuit that contains millions of small components working together. It is used in vehicle System-on-Chip (VSC) soC for automotive applications such as advanced driver assistance systems, infotainment, and safety features. The microchip acts as an interface between the main control unit and various devices or sensors present in the vehicle.
Passenger vehicle system on-chip soCs dominate the vehicle system on-chip soC sales market and accounted for over 60% of the overall revenue in 2019. The segment is projected to witness significant growth owing to increasing demand for passenger vehicles with advanced features, such as infotainment systems, safety & security systems, and advanced driver assistance systems (ADAS). Commercial vehicle system on-chip soCs are anticipated to exhibit a CAGR of XX% from 2022 to 2030 due to their increased usage in commercial transportation services such as logistics trucks and container carriers.
Europe accounted for more than 25% of the total revenue share in 2021 owing to stringent regulations by governments across European countries regarding fuel economy and emission standards projected to boost sales of V2X systems on-chip SoCs used for navigation applications among other things. North America also has a significant market share owing to high demand from U.S.-based original equipment manufacturers (OEMs).
Report Attributes | Report Details |
Report Title | Vehicle System on Chip SoC Sales Market Research Report |
By Product Type | Navigation System, Microchip, Other |
By Vehicle Type | Passenger Vehicle, Commercial Vehicle |
By Technology | Integrated, Standalone |
By Power Type | Electric, Non-Electric |
By Distribution Channel | OEM, Aftermarket |
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Charging data are collected from one of three sources, each with varying levels of additional information. These sources, in approximate order from most to least additional information, are: • The electric vehicle supply equipment (charger) • Onboard the vehicle itself • From a utility submeter. Many chargers provide software that allows for the collection and reporting of charging session data. If unavailable, data may be recorded by the charging vehicle’s onboard systems. If neither of these options is available, data can be acquired from utility submeters that simply track the energy flowing to one or more chargers. Data collected directly from the electric vehicle supply equipment (EVSE) are typically the most accurate and highest frequency. However, it is not always possible to discern which exact vehicle is being charged during any one session. EVSE-side data can be identified where a single charger ID but a range of vehicle IDs are present (e.g., CH001, EV001-EV005). Data collected from the vehicle’s onboard systems usually does not provide information on which exact charger is being used. Vehicle-side data can be identified where a single Vehicle ID but a range of Charger IDs are present (e.g., EV001, CH001-CH005). Data collected from utility submeters provide no information on which specific vehicle is charging or which specific charger is in use. Submeter data can be identified where multiple Vehicle IDs and multiple Charger IDs are present, but only a single Fleet ID is present (e.g., EV001-EV005, CH001-CH005, Fleet01). The Charge Data Daily/Session Dictionaries contains definitions for each available parameter collected as part of an individual charging session, aggregated at either a daily or session level. The parameters available will vary between vehicles and chargers. The Charger Attributes table contains specific charger characteristics, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. The Charger Attributes Data Dictionary contains definitions for each available parameter collected on the physical and operational characteristics of the charging hardware itself. The Vehicle Attributes Data Dictionary contains definitions for each available parameter associated with a vehicle’s physical and functional attributes and fleet context. The Vehicle Attributes table contains specific vehicle characteristics, coded to an anonymous Vehicle ID. This Vehicle ID can be used as a key between vehicle data and vehicle attribute tables, and in cases where charging data are supplied, links a vehicle with the charger(s) that supplied it power. The Charging Data tables contain the data from each charger’s operations, coded to at least one anonymous Charger ID and linked to either a single or a range of Vehicle IDs. Vehicle ID can be used as a key between charging data and vehicle attribute tables. Data is being uploaded quarterly through 2023 and subject to change until the conclusion of the project.