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Global Engine Bearings Market to reach USD 3.83 billion by the end of 2030

Global Engine Bearings Market Size study & Forecast, by Type (Main Bearing, Connected Rod Bearing, Others), by Distribution Channel (OEM, Aftermarket), by Vehicle Type (Passenger Cars, Light Commercial Vehicles, Heavy Commercial Vehicles) and Regional Analysis, 2023-2030

Product Code: ALTAMC-21400119
Publish Date: 20-01-2024
Page: 200

Global Engine Bearings Market is valued at approximately USD 2.91 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 3.5% during the forecast period 2023-2030. Engine bearings are critical components in internal combustion engines that facilitate the smooth and efficient rotation of various engine parts. These bearings provide essential support and reduce friction between moving components, such as the crankshaft and connecting rods, allowing them to rotate with minimal resistance. The primary function of engine bearings is to support the rotating shafts while ensuring proper alignment and reducing wear on the engine components. The Engine Bearings Market is expanding because of factors such as the expansion of the automotive industry, the growing industrial machinery sector, growing global industrialization and infrastructure development.

The steady rise in global vehicle production, fueled by increasing consumer demand, economic growth, and urbanization, directly impacts the demand for engine bearings. Original Equipment Manufacturers (OEMs) and suppliers benefit from higher production volumes. The International Energy Agency estimates that there were more than 16.5 million electric vehicles in use worldwide in 2021, an increase of 61% is 10.2 million units in the year 2020. Moreover, according to the European Automobile Manufacturers Association, In the year 2022, around 85.4 million motor vehicles were produced worldwide which indicated an increase of 5.7% compared to the year 2021. In addition, increased focus on electric vehicles and ongoing advancements in materials and manufacturing technologies are creating new opportunities for market growth. However, fluctuating raw material prices stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Engine Bearings Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022. The Engine Bearings Market in this region benefits from the significant presence of major automotive suppliers and robust automotive production. The market is poised for growth due to the increasing disposable income and the emergence of strong economies in these countries. Furthermore, substantial investments in research and development activities aimed at developing highly durable and lightweight materials for vehicles are anticipated to drive market growth in the foreseeable future. Europe is expected to grow at a fastest rate over the forecast period, owing to the rising automotive industry, and rising research and development activities in the region.

Major market player included in this report are:
MAHLE Aftermarket GmbH
Daido Metal Co., Ltd.
JTEKT Corporation
NSK Ltd.
King Engine Bearing, Inc
Hartford Technologies, Inc.
KS Kolbenschmidt GmbH
Schaeffler Technologies AG & Co. KG
ACL Race Series Performance Engine Bearing
Menon Bearings Ltd.

Recent Developments in the Market:
Ø In March 2023, NSK innovated a novel method for predicting the lifespan of steel rolling bearings. This approach relies on statistical data derived from ultrasonic testing of non-metallic inclusions in the steel, providing a more advanced and accurate means of assessing bearing longevity.
Ø In August 2022, Hartford Technologies inaugurated a new facility in Connecticut as part of its strategic expansion to enhance both service and product offerings.

Global Engine Bearings Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Distribution Channel, Vehicle Type, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Main Bearing
Connected Rod Bearing
Others

By Distribution Channel:
OEM
Aftermarket

By Vehicle Type:
Passenger Cars
Light Commercial Vehicles
Heavy Commercial Vehicles

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Engine Bearings Market, by Region, 2020-2030 (USD Billion)
1.2.2. Engine Bearings Market, by Type, 2020-2030 (USD Billion)
1.2.3. Engine Bearings Market, by Distribution Channel, 2020-2030 (USD Billion)
1.2.4. Engine Bearings Market, by Vehicle Type, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Engine Bearings Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Engine Bearings Market Dynamics
3.1. Engine Bearings Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Expansion of the automotive industry
3.1.1.2. Growing industrial machinery sector
3.1.1.3. Rising global industrialization and infrastructure development
3.1.2. Market Challenges
3.1.2.1. Fluctuating raw material prices
3.1.3. Market Opportunities
3.1.3.1. Increased focus on electric vehicles
3.1.3.2. Ongoing advancements in materials and manufacturing technologies
Chapter 4. Global Engine Bearings Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Engine Bearings Market, by Type
5.1. Market Snapshot
5.2. Global Engine Bearings Market by Type, Performance – Potential Analysis
5.3. Global Engine Bearings Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Engine Bearings Market, Sub Segment Analysis
5.4.1. Main Bearing
5.4.2. Connected Rod Bearing
5.4.3. Others
Chapter 6. Global Engine Bearings Market, by Distribution Channel
6.1. Market Snapshot
6.2. Global Engine Bearings Market by Distribution Channel, Performance – Potential Analysis
6.3. Global Engine Bearings Market Estimates & Forecasts by Distribution Channel 2020-2030 (USD Billion)
6.4. Engine Bearings Market, Sub Segment Analysis
6.4.1. OEM
6.4.2. Aftermarket
Chapter 7. Global Engine Bearings Market, by Vehicle Type
7.1. Market Snapshot
7.2. Global Engine Bearings Market by Vehicle Type, Performance – Potential Analysis
7.3. Global Engine Bearings Market Estimates & Forecasts by Vehicle Type 2020-2030 (USD Billion)
7.4. Engine Bearings Market, Sub Segment Analysis
7.4.1. Passenger Cars
7.4.2. Light Commercial Vehicles
7.4.3. Heavy Commercial Vehicles
Chapter 8. Global Engine Bearings Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Engine Bearings Market, Regional Market Snapshot
8.4. North America Engine Bearings Market
8.4.1. U.S. Engine Bearings Market
8.4.1.1. Type breakdown estimates & forecasts, 2020-2030
8.4.1.2. Distribution Channel breakdown estimates & forecasts, 2020-2030
8.4.1.3. Vehicle Type breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Engine Bearings Market
8.5. Europe Engine Bearings Market Snapshot
8.5.1. U.K. Engine Bearings Market
8.5.2. Germany Engine Bearings Market
8.5.3. France Engine Bearings Market
8.5.4. Spain Engine Bearings Market
8.5.5. Italy Engine Bearings Market
8.5.6. Rest of Europe Engine Bearings Market
8.6. Asia-Pacific Engine Bearings Market Snapshot
8.6.1. China Engine Bearings Market
8.6.2. India Engine Bearings Market
8.6.3. Japan Engine Bearings Market
8.6.4. Australia Engine Bearings Market
8.6.5. South Korea Engine Bearings Market
8.6.6. Rest of Asia Pacific Engine Bearings Market
8.7. Latin America Engine Bearings Market Snapshot
8.7.1. Brazil Engine Bearings Market
8.7.2. Mexico Engine Bearings Market
8.8. Middle East & Africa Engine Bearings Market
8.8.1. Saudi Arabia Engine Bearings Market
8.8.2. South Africa Engine Bearings Market
8.8.3. Rest of Middle East & Africa Engine Bearings Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. MAHLE Aftermarket GmbH
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Daido Metal Co., Ltd.
9.3.3. JTEKT Corporation
9.3.4. NSK Ltd.
9.3.5. King Engine Bearing, Inc
9.3.6. Hartford Technologies, Inc.
9.3.7. KS Kolbenschmidt GmbH
9.3.8. Schaeffler Technologies AG & Co. KG
9.3.9. ACL Race Series Performance Engine Bearing
9.3.10. Menon Bearings Ltd.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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