The Automated Insights Dataset (AID) brings metadata from the 200 most downloaded free apps from each of the 32 categories on the Google Play Store, totaling 6400 apps, with information that goes beyond that presented by app stores, also bringing metadata from AppBrain. The User Interface Depth Dataset (UID) brings a high-quality sampling of the AID, and delves into the identification of 7540 components of 50 component types and the capture of 1948 screenshots of the interface of 400 apps. The component set was based on components of Google Material Design and Android Studio.

• The datasets can be viewed in the spreadsheets named "Automated Insights Dataset (AID).xlsx" and "User Interface Depth Dataset (UID).xlsx".
• The "UID - Screenshots.zip" file contains screenshots of the apps present in the UID, organized in folders by app IDs.
• The "Source code of the developed tools.zip" file contains Python codes and complementary files used to collect the datasets.
• The "Discarded apps.zip" file contains the apps discarded in the analysis, it presents screenshots of some apps, collected elements and the reasons that led to these apps being discarded.
• The "Data explanation.zip" file contains graphical representations of the UID components and textual representations of each data present in the UID and AID, allowing a better understanding of the criteria used.

The Car E-Commerce market has become an integral facet of the automotive industry, transforming how consumers buy vehicles. As digital platforms continue to expand, the traditional dealership model is being reshaped to accommodate an increasing demand for online vehicle purchasing options. According to a recently re

Automotive Infotainment Market is estimated to be valued at USD 33.81 Bn in 2025 and is expected to expand at CAGR of 7.6%,reaching USD 56.46 Bn in 2032,.

Automotive Data Analytics Market Outlook 2032

The global automotive data analytics market size was USD 2.65 Billion in 2023 and is projected to reach USD 6.4 Billion by 2032, expanding at a CAGR of 10.3% during 2024–2032. The market growth is attributed to improved customer experience.



Increasing interest in data-driven decision-making is reshaping the automotive industry, giving rise to the fast-expanding market of automotive data analytics. Exceptional strides in technology have rendered vehicles more than mere modes of transport; they are now sophisticated data-collection devices. Vehicles generate a rich reservoir of data detailing everything from driving habits and fuel efficiency to geographical usage patterns and mechanical health with each journey. Interpreting this data using advanced analytic tools offers unprecedented opportunities for car manufacturers, fleet managers, auto insurers and even consumers.

Rising demands for improved customer insights, predictive analysis, and better operational efficiency are key driving forces behind the growth of automotive data analytics. Innovative manufacturers are utilizing data analytics to understand consumer preferences and tailor their offerings accordingly. These insights allow manufacturers to develop product differentiation and competitiveness demonstrably by enhancing product development and marketing strategies.



Growing digitalization and connected car technology are further stimulating the application of data analytics within the automotive industry. Connected car technology provides a continuous flow of real-time data, a veritable goldmine for data analytics. This information provides priceless real-time insights into the vehicle's performance, enabling predictive maintenance, reducing downtime, and ensuring optimal vehicle lifecycles.

Impact of Artificial Intelligence (AI) onthe Automotive Data Analytics Market

Artificial Intelligence has a significant impact on the automotive data analytics market. AI enables predictive analytics, allowing auto manufacturers to

Explore the historical Whois records related to insight-auto-service.com (Domain). Get insights into ownership history and changes over time.

Success.ai’s Verified Company Data for the Automotive Industry in North America provides businesses with reliable, detailed insights into automotive companies and decision-makers across the region.

Drawing from over 170 million verified professional profiles and 30 million company profiles, this dataset delivers comprehensive firmographic details, business locations, and direct contact information for automotive manufacturers, suppliers, dealerships, and service providers.

Whether you’re targeting OEMs, aftermarket suppliers, or dealership networks, Success.ai ensures your outreach and strategic initiatives are supported by accurate, continuously updated, and AI-validated data, all backed by our Best Price Guarantee.

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1. Comprehensive Automotive Company Insights

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2. Coverage of North American Automotive Markets

   • Includes profiles of manufacturers, Tier 1 and Tier 2 suppliers, dealerships, and service centers across the U.S., Canada, and Mexico.
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• 170M+ Verified Professional Profiles: Connect with automotive executives, operations managers, engineers, and procurement specialists across North America.
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• Business Location Data: Pinpoint facilities, plants, and distribution centers to refine supply chain strategies and customer engagement efforts.
• Firmographic Insights: Understand production capacities, specialization areas, and market positions of automotive businesses.

Key Features of the Dataset:

1. Decision-Maker Profiles in the Automotive Sector

   • Identify and engage with CEOs, COOs, plant managers, and R&D directors shaping production, procurement, and innovation strategies.
   • Target professionals influencing vehicle design, supplier contracts, and dealership networks.

2. Advanced Filters for Precision Targeting

   • Filter companies by segment (OEMs, aftermarket suppliers, EV manufacturers), geographic location, production volumes, or technology focus.
   • Tailor campaigns to align with regional trends, sustainability initiatives, and consumer preferences.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight value propositions, and improve engagement outcomes with automotive stakeholders.

Strategic Use Cases:

1. Supplier and Vendor Development

   • Build relationships with Tier 1 and Tier 2 suppliers managing raw materials, components, or technology integrations.
   • Present products or services that enhance efficiency, cost savings, or compliance with sustainability regulations.

2. Market Entry and Expansion Strategies

   • Explore opportunities to enter new markets or expand into EV production, autonomous vehicles, or connected car technologies.
   • Analyze firmographics and location data to select regions or partners aligned with your business goals.

3. Technology and Innovation Outreach

   • Target R&D directors and engineering teams evaluating new technologies like robotics, IoT systems, or AI-driven production tools.
   • Position your solutions to support innovation in EVs, advanced manufacturing, or intelligent supply chains.

4. Dealership and Service Network Optimization

   • Engage with dealership owners and service managers to enhance customer experience, increase operational efficiency, or adopt digital platforms.
   • Present solutions for inventory management, CRM systems, or customer loyalty programs tailored to dealership needs.

Why Choose Success.ai?

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3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven d...

Auto-injectors Market is growing at a CAGR of 18.00% over the next 7 years. Becton, Dickinson and Company, Sanofi S.A., Takeda Pharmaceutical Company Limited, Xeris Biopharma Holdings Inc. and many more major companies operating in this Market.

Artificial Intelligence in Automotive Market is segmented By Offering (Hardware and Software) and Technology (Deep Learning, Machine Learning, Infotainment Systemsand IOT (Internet of Things), Cognitive Capabilities) and Application (Semi-autonomous and Fully-autonomous)

Learn more about Market Research Intellect's Automotive Design Market Report, valued at USD 28 billion in 2024, and set to grow to USD 45 billion by 2033 with a CAGR of 6.5% (2026-2033).

Big Data in the Automotive Industry Market Report is Segmented by Application (Product Development, Supply Chain and Manufacturing, OEM Warranty and Aftersales/Dealers, Connected Vehicle and Intelligent Transportation, and More), Data Source (Power-Train and CAN-Bus Logs, ADAS/Autonomous Sensor Data, and More), Model (On-Premises and Cloud/Edge Cloud), End-User (OEMs, Tier-1 Suppliers, and More), and Geography.

The global aftermarket auto parts and accessories market, valued at $448.24 million in 2025, is projected to experience steady growth, driven by several key factors. Increasing vehicle age and the rising preference for vehicle maintenance and repair over new vehicle purchases are significant contributors. The expanding middle class in developing economies, coupled with increasing disposable incomes, fuels demand for aftermarket parts and accessories. Technological advancements in automotive components, such as the adoption of advanced driver-assistance systems (ADAS) and electric vehicle (EV) components, are creating new opportunities within the aftermarket. The market is segmented by application (direct sales and distribution) and type (battery, tire, filter, brake parts, turbocharger, and others). Leading players such as Bosch, Continental, Tenneco, and others dominate the market, leveraging their established distribution networks and brand recognition. Regional variations exist, with North America and Europe currently holding significant market share due to higher vehicle ownership rates and a well-established automotive aftermarket infrastructure. However, rapid economic growth and automotive penetration in Asia-Pacific regions like China and India are expected to drive substantial future growth in these markets. The market faces challenges such as fluctuating raw material prices and the increasing complexity of modern vehicles, which might affect the repair process and parts availability. Despite potential restraints, the long-term outlook for the aftermarket auto parts and accessories market remains positive. The continuous growth in vehicle population, the increasing demand for vehicle personalization, and the emergence of new technologies are expected to propel market expansion. The shift towards online sales channels and the growth of specialized e-commerce platforms focusing on automotive parts will further contribute to market expansion and provide convenient access for consumers. Furthermore, increasing focus on vehicle safety and regulatory compliance will fuel demand for specific parts and accessories, impacting overall market growth. Strategic partnerships, mergers and acquisitions, and product innovation will be crucial for companies aiming to gain a competitive edge in this evolving landscape. The market’s diverse product portfolio and the geographically widespread consumer base provide ample opportunities for growth and development.

The size of the Automotive Data Monetization Market was valued at USD 0.39 Million in 2023 and is projected to reach USD 4.36 Million by 2032, with an expected CAGR of 41.16% during the forecast period. The automotive data monetization market refers to the process of generating revenue from the vast amount of data generated by modern vehicles equipped with advanced sensors, telematics systems, and connected technologies. As vehicles become more digitized, they produce a wealth of data related to vehicle performance, driver behavior, navigation, and maintenance needs. This data can be valuable to various stakeholders, including automakers, insurance companies, fleet management firms, and technology providers. Monetizing this data involves using it for purposes such as predictive maintenance, personalized insurance, targeted advertising, and enhancing in-car services like infotainment and navigation. Automakers can offer these insights to third-party businesses or use them internally to improve vehicle design, performance, and customer experience. The growing adoption of connected cars and electric vehicles (EVs) is driving the expansion of the automotive data monetization market. Recent developments include: January 2024: Cox Automotive, an automotive services and technology provider fueled by first-party data fed by 2.3 billion online interactions a year, invested around USD 100 million to revolutionize the vehicle transport industry through technology. Cox Automotive is a data-driven business whose data strategy is to uncover new opportunities to monetize existing data. The investment will transform the company's brand, Central Dispatch, into a fully integrated automotive transportation marketplace that gives clients the data and insights they need to take control of their supply chains and better compete in the automotive ecosystem., August 2023: CARUSO partnered with Renault Group to enable CARUSO's customers to access vehicle data, including mileage or geo-position, without the need to install any additional device. The data is 100% in compliance with GDPR and, hence, protects the fleet owner's or driver's privacy. The data is available for all Renault Group models.. Key drivers for this market are: Growth in V2X and Other Forms of Vehicular Connectivity Provides a Good Platform for the Monetization of Data, The Automotive Industry is Gradually Warming up to the Use of Data for Decision-making in Terms of Customer Experience and Support; Favorable Advancements in the Field of Digital Transformation. Potential restraints include: Continuous Recurring Expenditure. Notable trends are: Favorable Advancements in the Field of Digital Transformation to Drive the Market.

Vehicle Analytics Market Outlook

The global vehicle analytics market size was valued at USD 2.8 billion in 2023 and is projected to reach USD 8.5 billion by 2032, demonstrating a compound annual growth rate (CAGR) of 13.2% over the forecast period. This remarkable growth is driven by the increasing adoption of advanced analytics and telematics solutions in the automotive industry, which are crucial for improving vehicle performance, safety, and customer satisfaction. The surge in connected vehicles, along with advancements in artificial intelligence and machine learning, is significantly contributing to the expansion of this market. These technologies facilitate the collection and analysis of vast amounts of vehicle data, providing actionable insights that enhance operational efficiency and drive innovation in the automotive sector.

A major growth factor for the vehicle analytics market is the rising demand for enhanced safety features and improved vehicle performance. As consumers and regulatory bodies place a stronger emphasis on safety, automotive manufacturers are increasingly integrating advanced analytics solutions into their vehicles to monitor, predict, and prevent potential failures. This not only enhances the overall safety and reliability of vehicles but also helps in reducing maintenance costs and extending the lifespan of automotive components. Moreover, the trend towards electric and autonomous vehicles is further accelerating the adoption of vehicle analytics, as these vehicles rely heavily on real-time data analysis for optimal functioning and user experience.

Another pivotal factor driving the growth of the vehicle analytics market is the increasing focus on personalized and usage-based insurance models. Insurance companies are leveraging vehicle analytics to assess driver behavior, vehicle usage, and accident risk more accurately, allowing them to offer personalized insurance plans. This approach not only benefits insurers by optimizing risk assessment and pricing strategies but also appeals to customers who prefer tailored insurance solutions that reflect their driving habits. As more insurers adopt these analytics-driven models, the demand for sophisticated vehicle analytics solutions is expected to rise, further bolstering market growth.

The rapid advancements in data connectivity and the proliferation of Internet of Things (IoT) technologies are also key drivers of the vehicle analytics market. The integration of IoT devices and sensors in vehicles facilitates seamless data transmission and real-time analytics, enabling stakeholders to derive meaningful insights from the vast amounts of data generated by connected vehicles. This capability is invaluable for a wide range of applications, including predictive maintenance, traffic management, and infotainment services. As the automotive industry continues to evolve towards a more connected ecosystem, the role of vehicle analytics in enhancing vehicle intelligence and connectivity becomes increasingly critical.

Regionally, the vehicle analytics market is witnessing significant growth across various geographies. North America, with its advanced technological infrastructure and high adoption rate of connected vehicles, is a leading region in the market. Europe is also experiencing substantial growth, driven by stringent regulatory mandates for vehicle safety and emissions, as well as the presence of major automotive manufacturers. Meanwhile, the Asia Pacific region is emerging as a lucrative market for vehicle analytics, fueled by the rapid urbanization, rising disposable incomes, and increasing demand for advanced automotive technologies in countries like China and India. The Middle East & Africa and Latin America regions are also showing promise, as they gradually embrace digital transformation and smart mobility solutions.

Component Analysis

The vehicle analytics market is broadly segmented into software and services components, each playing a pivotal role in the ecosystem. Software solutions dominate the market due to their essential function in data processing, analytics, and visualization. These solutions enable the conversion of raw vehicle data into actionable insights that can be leveraged by automotive manufacturers, fleet owners, and insurers. Advanced analytics software, powered by machine learning and artificial intelligence, is particularly in demand as it offers predictive and prescriptive capabilities essential for optimizing vehicle operations and enhancing user experience. This software is continually evolving, with new features and functionalities being developed to meet the growing needs of the industry.

The eCommerce activity of Advance Auto Parts, Inc. amounted to US$433m in 2024. Learn more about their online business including detailed eCommerce revenue analytics.

The Data Preparation Tools Market size was valued at USD 5.93 billion in 2023 and is projected to reach USD 16.86 billion by 2032, exhibiting a CAGR of 16.1 % during the forecasts period. The Data Preparation Tools Market is witnessing robust growth due to the increasing need for data accessibility and insights. Key drivers include the benefits of hybrid seeds, government incentives, rising food security concerns, and technological advancements. Data preparation tools streamline the process of transforming raw data into a usable format for analysis. They include software and platforms designed to cleanse, integrate, and structure data from diverse sources. Popular tools like Alteryx, Informatica, and Talend offer intuitive interfaces for data cleaning, normalization, and merging. These tools automate repetitive tasks, ensuring data quality and consistency. Advanced features include data profiling to detect anomalies, data enrichment through external sources, and compatibility with various data formats. Recent developments include: In May 2022, Alteryx, the U.S.-based computer software company introduced Alteryx AiDIN, a machine learning (ML) and generative AI engine that powers the Alteryx Analytics Cloud Platform. Magic Documents, a brand-new Alteryx Auto Insights product, transforms data insights reporting and sharing with stakeholders by using generative AI to create a dynamic deployment for users to better understand and document business processes. , In June 2022, Salesforce, Inc., a cloud-based software company, launched "Mulesoft," a unified solution for data integration, vertical programming interface (APIs), and automation. The solution enables organizations to automate their workflow, create a unified view of data, and easily connect it with any system. .

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Application and use cases

1 )Market Analysis: Evaluate overall trends and regional variations in car sales to assess manufacturer performance, model preferences, and demographic insights. 2) Seasonal Patterns and Competitor Analysis: Investigate seasonal and cyclical patterns in sales. 3) Forecasting and Predictive Analysis Use historical data for forecasting and predict future market trends. Support marketing, advertising, and investment decisions based on insights. 4) Supply Chain and Inventory Optimization: Provide valuable data for stakeholders in the automotive industry.

Automated Guided Vehicle Market is estimated to reach a market value of by 2030 with the market is estimated to grow at a CAGR of 7.8%

Success.ai delivers an industry-leading solution for accessing Verified Company Data within Europe’s automotive sector. Our comprehensive database empowers businesses with the tools to connect with decision-makers, analyze market trends, and uncover actionable insights. Designed for precision and scalability, our verified datasets are continuously updated and validated using advanced AI, ensuring unmatched accuracy and relevance.

Key Features of Success.ai's Verified Company Data for the European Automotive Sector:

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Contact Details for Decision-Makers: Directly reach key stakeholders, including CEOs, procurement managers, engineers, and R&D leads. Profiles include work emails, phone numbers, and physical addresses.

Tailored Industry Data: Focused on the automotive sector, our database includes insights into sub-industries such as electric vehicles (EVs), autonomous technology, and component manufacturing.

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Connect directly with decision-makers at leading automotive companies. Use verified contact details to enhance your outreach and conversion rates.

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The automotive telematics market is expected to grow at a CAGR of 16% during the forecast period. This market growth can be attributed to various factors including popularity of EVs.

The automotive telematics market report offers several other valuable insights such as:

CAGR of the market during the forecast period 2020-2024
Detailed information on factors that will drive automotive telematics market growth during the next five years
Precise estimation of the automotive telematics market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the automotive telematics market industry across APAC, Europe, MEA, North America, and South America
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of automotive telematics market vendors