Automotive Market Research Articles

Business Strategy and Finance research of Honda Motor Company, Ltd

This article presents a comprehensive analysis of Honda Motor Company, Ltd, examining its business segments, financial performance, and strategic positioning to identify key areas for improvement. It highlights the automobile segment as the main revenue driver and employs Porter's Five Forces and the 9Ms model to assess Honda's competitive strengths and resources. The article also categorizes stakeholders using the Mendelow matrix and explores strategic options with Ansoff's matrix and the Boston Consulting Group model. A financial comparison with Toyota from 2018 to 2020 reveals areas where Honda's profitability and liquidity could be enhanced. The article concludes with recommendations to reduce operational costs, optimize asset investments, improve inventory turnover, extend payable terms, mitigate losses in the power products segment, and increase investment in new power vehicles, all while emphasizing corporate social responsibility. Despite existing weaknesses, the article confirms Honda's strategic direction and competitive strength in the global automotive market.

Experimental verification of changes in the control map of a diesel engine operation due to fuel consumption

The paper describes an experiment related to the introduction of changes in the control software of a supercharged diesel engine in order to reduce fuel consumption, as a measure of useful efficiency. The map shaping the torque in the range of low and medium engine speeds was modified. The fuel dose for a specific engine speed at maximum engine load was changed and the boost pressure was increased, without exceeding the permissible values. A vehicle from the age group of 16 years - typical for the automotive market in Poland, was selected for the tests. It meets the EURO 5 standard. The experiment was carried out on a chassis dynamometer and in road traffic conditions. The average fuel consumption was obtained lower by 0.4 dm3 per 100 km than the factory assumed.

Analisis Pengaruh desain Produk dan Kualitas Produk terhadap Keputusan Pembelian Motor Honda Beat di Kabupaten Karawang

This study aims to analyze the influence of product design and product quality on purchasing decisions for Honda Beat motorcycles in Karawang Regency. Using a quantitative research design, this study involved 100 respondents from prospective consumers of Honda Beat motorcycles. Data were collected through questionnaires and analyzed using SPSS 26 software. The results showed that product design had a positive and significant influence on purchasing decisions, with a regression coefficient value of 0.322. Product quality was also shown to have a positive and significant influence on purchasing decisions, with a regression coefficient value of 0.348. Multiple linear regression tests revealed that product design and product quality simultaneously influenced purchasing decisions, with a determination coefficient value (R²) of 71.9%, indicating that 71.9% of the variation in purchasing decisions could be explained by these two variables. This study contributes to the understanding of how motorcycle product design and quality can influence consumer purchasing decisions in the Indonesian automotive market. These findings are expected to provide guidance for motorcycle manufacturers, especially Astra Honda Motor, in designing better products to meet consumer expectations and win the competition in the market.

Tesla’s Strategic Growth and Challenges in the Chinese Electric Vehicle Market

In recent years, the global focus on environmental protection and sustainable development has led to the rapid growth of the electric vehicle (EV) industry, with Tesla emerging as a global leader. Particularly in China, the world’s largest automotive market, Tesla’s performance has been remarkable. This study focuses on Tesla’s development in the Chinese market, exploring its strategic decisions, challenges, and competitive environment. Through a combination of policy analysis, market research, and competitive benchmarking, this study examines Tesla’s market entry strategies, the impact of government support for new energy vehicles (NEVs), and the challenges posed by local competitors and regulatory constraints. The study concludes that Tesla’s success in China is largely attributed to its brand strength, technological innovation, and localized production through the Shanghai Gigafactory. However, it faces significant challenges, including competition from domestic NEV manufacturers, regulatory complexities, and geopolitical tensions. To maintain its competitive advantage, Tesla must continue to innovate, localize its products, and adapt to an evolving political and market environment.

A Study on the Current Status and Future Prospects of EV Automotive Market

According to the International Energy Agency (IEA) projections, the total number of electric vehicles in the world is expected to reach 250 million in 2030 and 525 million in 2035. As a result, more than one in four cars running on the streets is expected to be electric by 2035. In addition, annual sales of electric vehicles are expected to reach about 45 million in 2030 and close to 65 million in 2035. The penetration rate of electric vehicles is expected to exceed about 40% in 2030 and 50% in 2035. In addition, the number of EV chargers in the world is expected to exceed 15 million by 2030, which is four times the current number. With the spread of electric vehicles worldwide, the need for public EV chargers in each country is increasing. As of 2023, there are 3.9 million public EV chargers worldwide. The country with the highest number of installations is China, with 1.5 million regular chargers and 1.2 million high-speed chargers installed as of 2023. China is leading the introduction of EV chargers, accounting for more than 85% of the world's high-speed chargers and about 60% of ordinary chargers. In Europe, 590,000 regular chargers and 110,000 high-speed chargers are installed as of 2023. In the second half of 2023, the European Union adopted the Alternative Fuel Infrastructure Regulation (AFIR), making it mandatory to install public high-speed chargers every 60 km along the EU's major transport corridors. Through this, EV charging infrastructure in Europe is expected to expand rapidly in the future. This EV evolution can be said to be a big inflection point for transportation due to climate change. At this point, it can be said that it is very important to accurately recognize the current status and future of EVs. This paper aims to examine the current status of electric vehicles and forecast the future from this perspective.

Analysis of Energy Efficiency Parameters of a Hybrid Vehicle Powered by Fuel with a Liquid Catalyst

A notable trend in the modern automotive market is the increased interest in hybrid cars. Hybrid cars combine a standard internal combustion engine with an electric motor solution. Research into increasing the energy efficiency of a conventional unit while meeting increasingly stringent exhaust emission standards is becoming a key postulate in this matter. This article discusses an analysis of modifying the fuel used by hybrid vehicles using the example of a selected drive unit equipped with a spark-ignition engine. This effect was tested after the Eco Fuel Shot liquid catalyst was added to the fuel. The research process was carried out in two stages, as follows: in road conditions using the Dynomet road dynamometer; and on the V-tech VT4/B2 chassis dynamometer. Tests were carried out to replicate road tests with a catalytic additive in the fuel. A mathematical model was created and the following energy efficiency parameters of the hybrid vehicle were calculated: the torque of the internal combustion engine, electric motor, and generator; the rotational speeds of the internal combustion engine, electric motor, and generator; the power of the internal combustion engine, electric motor, and generator; the equivalent fuel consumption of the electric motor and generator; the fuel consumption of the internal combustion engine, electric motor, and generator; and the mileage fuel consumption of the internal combustion engine, electric motor, and generator. The results of the tests made it possible to identify the benefits of using the tested liquid catalyst on the operation of the drive system of the analyzed hybrid vehicle. This research will be of benefit to both the demand side in the form of users of this category of vehicles, and the supply side represented by the manufacturers of power units.

Analysis of Consumer Preferences on Mitsubishi Vehicles

The automotive industry is increasingly competitive, making consumer preferences the key to achieving market success. This research analyzes consumer preferences for Mitsubishi vehicles with a focus on product, price and location factors. The research method used was a survey with a questionnaire to 178 people as a sample. The data collected is analyzed using statistical techniques to identify the factors that most influence consumer preferences. The research results show that product dimensions are the main factor influencing consumer preferences, more dominant than price and dealer location. The implications of these findings direct Mitsubishi to continue improving product quality, innovating in technology, and strengthening digital services in order to maintain consumer loyalty and optimize marketing strategies in the automotive market.

An Analytical Study on Global Automotive Price Trends and Influencing Factors

This study analyzes global automotive price trends and the key factors influencing these trends from 2018 to 2023. Using a mixed-method approach, it examines historical data, market conditions, and future projections. The findings highlight the impact of technological advancements, economic conditions, government policies, and changing consumer preferences on automotive prices. The study reveals a consistent increase in electric vehicle (EV) adoption, driven by government incentives and environmental awareness, alongside rising new car prices influenced by higher production costs and advanced features. Inflation and raw material costs have significantly impacted vehicle prices, while government subsidies have facilitated the broader acceptance of EVs. The results underscore the importance of understanding these dynamics for stakeholders to navigate the automotive market effectively. Future research should explore the long-term effects of emerging technologies and evolving regulations on automotive prices. Insights from this study are useful for manufacturers, policymakers, and consumers to make informed decisions in a rapidly evolving industry.

Mapping the Wuling vehicle market with K-Means Clustering: An effective digital marketing strategy

This study focuses on Indonesia’s automotive industry sector, which is currently experiencing growth, particularly in terms of Wuling's contribution to the economy through sales. The aim is to identify customer clusters for Wuling vehicle and the marketing mix strategy after the most dominant customer cluster for Wuling vehicle. The research method used was a quantitative survey, which involved collecting data from 111 potential Wuling customer using purposive sampling and data collection through questionnaires. The analysis included an F-Test to examine the differences between clusters. The results show that the clustering of Wuling customer using the K-Means Clustering method successfully divided them into three different clusters, namely Perfectionist, Easy Going, and Beginner, with the Easy Going being the most dominant. Therefore, it is necessary to adjust marketing strategies to focus more on the needs and preferences of the Easy Going, including optimizing the use of promotion channels that have been proven effective, such as direct marketing and sales websites. Thus, this study emphasizes the importance of applying the K-Means Clustering method in automotive market segmentation, providing valuable insights for Wuling to formulate more effective and relevant marketing strategies to meet the diverse needs of customer in a dynamic market.

Analysis of the Automotive Market Considering the Quality of Products Required by Consumers

Analysis of the Automotive Market Considering the Quality of Products Required by Consumers

福斯柴油門事件對臺灣汽車市場之影響

福斯柴油門事件對臺灣汽車市場之影響

Research on Tesla's Pricing Strategy in Chinese Market

As a leading global electric vehicle manufacturer, Tesla's performance in the Chinese market has a significant impact on the entire industry and market. The paper aims to analyze and evaluate Tesla's market pricing strategy in the Chinese market through SWOT analysis. Based on the analysis of pricing strategies, the paper also explores the impact of Tesla on the Chinese automotive economy market. Finally, the paper proposes some suggestions to address the challenges of future development and market expansion in the Chinese automotive market.

Method for determining the economic security of enterprises producing auto components based on a set of indicators

The article proposes a comprehensive method for determining the economic security of enterprises producing automotive components, based on an analysis of the definition of a set of indicators. The relevance of the study is determined by the high competitiveness and dynamic development of the automotive components market, which requires enterprises to pay close attention to ensuring their economic security. The theoretical research is based on the work of domestic scientists in the field of economic security, theories of crisis management, financial analysis and business valuation. The purpose of the article is to develop a method for determining the economic security of enterprises based on a set of indicators, such as: financial stability, diversification, competitiveness, etc. The practical significance of the study lies in the possibility of using the proposed method to assess the current level of economic security of an enterprise and develop measures to ensure it. The article provides calculations of economic security indicators and provides recommendations for ensuring it. The results of the study can be used by managers and owners of enterprises producing automotive components to make informed management decisions, by specialists in the field of economic security to develop systems for protecting enterprises from external and internal threats, teachers and students of economic universities in the educational process. This article is of interest to a wide range of readers interested in ensuring the economic security of enterprises in a competitive environment.

Optimization research on multi-trip distribution of reverse logistics terminal for automobile scrap parts under the background of sustainable development strategy

To effectively solve the reverse logistics distribution problem caused by the increasing number of scrapped parts in the automotive market, this study constructs a multi-trip green vehicle routing problem model with time windows by comprehensively considering the coordination between carbon dioxide emissions and cost efficiency. A hybrid adaptive genetic algorithm is proposed to solve this problem, featuring innovative improvements in the nearest neighbor rule based on minimum cost, adaptive strategies, bin packing algorithm based on the transfer-of-state equation, and large-scale neighborhood search. Additionally, to efficiently obtain location data for supplier factory sites in the distribution network, a coordinate extraction method based on image recognition technology is proposed. Finally, the scientific validity of this study is verified based on the actual case data, and the robust optimization ability of the algorithm is verified by numerical calculations of different examples. This research not only enriches the study of green vehicle routing problems but also provides valuable insights for the industry to achieve cost reduction, efficiency enhancement, and sustainable development in reverse logistics.

Perbandingan Efisiensi Bahan Bakar Pada Kendaraan Low MPV Dengan Metode Copras

Low multi-purpose vehicles have become a popular choice in the automotive market due to their combination of ample space and improved fuel efficiency. In the context of increasing environmental awareness and ever-increasing fuel costs, this study aims to compare the fuel efficiency of various low multi-purpose vehicles using the Complex Proportional Assessment (COPRAS) method. The Copras method, as a multi-criteria decision analysis tool, is used to evaluate vehicle alternatives based on a number of predefined criteria. In this study, the main criteria considered include engine efficiency, aerodynamics, vehicle weight, and fuel technology used. The identification of these criteria is important as fuel efficiency is influenced by various complex technical factors. Relevant data was collected for the low multi-purpose vehicles to be evaluated. Once the data was collected, a Copras analysis was conducted to determine the relative ranking of each vehicle based on its fuel efficiency. This method allowed the researcher to identify vehicles that stood out in terms of fuel efficiency. The results of this study are expected to provide valuable insights for both consumers and vehicle manufacturers. Consumers can use this information to make smarter decisions when choosing a vehicle that suits their needs, taking into account the important aspect of fuel efficiency. On the other hand, manufacturers can use these findings to develop more fuel-efficient vehicles, as well as to strengthen their position in an increasingly competitive market. In addition, this study also has significant implications in an environmental context. By choosing more fuel-efficient vehicles, consumers can contribute to the reduction of greenhouse gas emissions and reduce other negative impacts on the environment. As such, this research not only provides economic benefits but also supports efforts to maintain environmental sustainability

Multilevel Hierarchical Bayesian Modeling of Cross-National Factors in Vehicle Sales

SUVs (sport utility vehicles), as a car segment, have become a foundation within the automotive industry due to their versatility, which is used by a wide range of customers. Recognising the complex interplay between geographical and economic conditions across countries, we delve into cross-national factors that significantly influence SUV sales. This article presents an analysis of the global sales of SUVs (sport utility vehicles) using multilevel hierarchical Bayesian modelling. We identify key predictors of SUV sales, including the effects of fuel prices, income levels and geographical aspects. We prepared four statistical models that differ in their probability distribution or hierarchical internal structure. The last presented model, with Student’s t-distribution and separate distribution for unique alpha parameter values, turned out to be the best one. Our analysis contributes to a deeper understanding of the automotive market dynamics, and it can also assist manufacturers and policymakers in designing effective sales strategies.

Case study of automotive NVH topics induced by HVAC systems integration

Within the automotive market, HVAC systems are of critical importance in ensuring passengers' thermal comfort inside the car cabin as well as complying with regulatory defogging functions. These systems involve various components such as blowers, thermal exchangers, actuators... over a wide range of well-known technologies and also innovations on newly introduced designs and products. Currently, within the established electrification trend worldwide, HVAC systems became one of the most important embedded systems, possibly inducing major contributions of noise and vibration. These NVH topics can emerge through various transfer paths inside the car cabin causing significant discomfort to passengers. During development and production stages, the NVH behavior at component level is mastered by both suppliers and OEMS according to internal standards and specifications. However, implementation into the complete vehicle can induce a specific NVH behavior unrelated to the compliance status at component level. Integration impact cases are highly reinforced within electrification trends as they involve more and more design changes with less technical background. Through a practical case study, this paper focuses on the NVH behavior induced by the integration of HVAC systems in the US market. Transfer paths analysis and solutions are investigated to improve the NVH behavior and set the product intrinsic limits giving the targeted vehicle.

Mechanisms and implications of autonomous vehicle market penetration: Insights from a Markov forecasting model

Due to the rapid evolution of autonomous driving technology and the complexity of market penetration mechanisms, establishing a reliable quantitative research approach for measuring autonomous vehicle (AV) penetration and effectively validating forecasted outcomes poses significant challenges. To address this issue, this paper overcomes data limitations by starting from the perspective of Chinese automotive market. It introduces a quantifiable Markov forecasting model that establishes the link between transition probabilities and penetration influencing factors. Through a penetration network, it visually represents the correlation and evolutionary states of AVs. Building upon the model, a framework for data quantification and analysis is formed. By quantifying model indicators with market data such as car performance and historical sales, the network parameters and transition probabilities are continuously updated in real-time. This drives the model to output short-term forecasts for AV penetration in the automotive market. In addition, we devise a two-stage simulation algorithm to accomplish parameter calibration and model validation. Through validation and comparative analysis, it is observed that, compared to direct learning from historical data, our model can more accurately forecast real market penetration trends. Furthermore, sensitivity analysis experiments on market strategies indicate that, compared to technical investment, the market exhibits a higher sensitivity to price adjustments. A strategy combination of increased technical investment in high-level vehicles and judiciously raising prices proves more advantageous for intelligent transformation in the automotive sector than a singular strategy. Additionally, as the AV market evolves, the sensitivity to favorable strategies will gradually increase. Therefore, the developmental stage of the market is a crucial factor for both car companies and investors to consider. The insights gleaned from this paper offer actionable guidance for policymakers and automotive corporations in shaping future market strategies, thereby fostering the continued growth of autonomous driving technologies within the industry.

PREDICTION OF SELLING PRICE OF VARIOUS CARS

Abstract – Predicting the selling price of cars is a complex problem that involves analyzing various factors, including the car’s make, model, year, mileage, condition, and other relevant attributes. This study aims to develop a predictive model that accurately estimates the selling prices of cars using machine learning techniques. By leveraging a dataset containing historical data on car sales, we employ multiple regression analysis and other advanced algorithms to identify patterns and key determinants that influence car prices. The proposed model is validated using a separate test dataset to ensure its accuracy and reliability. The results demonstrate that our model can effectively predict car prices, providing valuable insights for buyers, sellers, and automotive industry stakeholders. This predictive tool can assist in making informed decisions, enhancing market efficiency, and ultimately contributing to a more transparent automotive market. IndexTerms – Car price prediction, Machine learning, Regression analysis, Automobile market, Predictive modeling, Vehicle valuation, Data analysis, Price determinants, Automotive industry, Market efficiency

Research on marketing countermeasures of the automobile industry based on "Internet+

Due to the Internet's rapid expansion in recent years, people from many walks of life have jumped on the wave, combining their unique advantages with those of each business to create their own online platforms and engage in online marketing. "Online attraction, offline service" has gained widespread traction due to China's inventive growth in the automobile sector, the provision of automotive services, and the incorporation of the Internet. This essay examines the traits of "Internet +" automobile marketing and suggests creative solutions in response to the issues facing "Internet +" automotive marketing today.