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Global Autonomous Shuttle Market to reach USD xxx billion by the end of 2029.

Global Autonomous Shuttle Market Size study & Forecast, by Level of Autonomy (Fully, Semi, Hybrid, Partial) By Seating Capacity (under 5, 5 to 10, More than 10) and Regional Analysis, 2022-2029

Product Code: ALTST-53045920
Publish Date: 5-05-2023
Page: 200

Global Autonomous Shuttle Market is valued at approximately USD xxx billion in 2021 and is anticipated to grow with a healthy growth rate of more than xxx% over the forecast period 2022-2029. An autonomous shuttle is a self-driving vehicle that typically operates on a fixed route, such as on a campus or within a particular area of a city. These shuttles are often electric and are designed to transport passengers without the need for a human driver. Autonomous shuttles use a variety of sensors, including cameras, lidar, and radar, to navigate and avoid obstacles in their environment. The Autonomous Shuttle market is expanding because of factors such as an increase in the demand for autonomous vehicles and the growing significance of OEMs and autonomous startups.

Autonomous shuttles have the potential to improve mobility and reduce congestion in urban areas, while also providing an eco-friendly transportation option. They can be used to transport people to and from public transit hubs or to provide last-mile transportation for commuters. Its prevalence has progressively increased during the last few decades. According to Statista, the global autonomous car market was valued at over USD 27 billion in 2021. The market is expected to reach up to USD 62 billion by 2026. Furthermore, in 2030, the global sales of these vehicles are projected to reach a value of around 58 million units. Another important component driving space increase is OEMs and autonomous startups. According to Statista, the market capitalization of the world’s automotive original equipment manufacturers has reached about USD 1.5 trillion in 2020. Japanese automotive manufacturers Toyota and Denso were among the world’s largest OEMs and suppliers, respectively. In addition, As of April 2022, the American autonomous vehicle company Cruise was the most well-funded startup in the field of autonomous driving worldwide. The company has received USD 8.47 billion in funding so far. Also, growing environmental concerns and rising road safety awareness would create a lucrative growth prospectus for the market over the forecast period. However, the high cost of autonomous shuttles stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Autonomous Shuttle Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the presence of key market players. Furthermore, Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as the geographic expansion of key players, and active participation of government organizations in the market space.

Major market player included in this report are:

Aptiv Inc.
Robert Bosch GmbH
Continental AG
ZF Friedrichshafen AG
Google LLC
Visteon Corporation
Cisco Systems Inc
Denso Corporation
Delphi Inc.
Valeo S.A.

Recent Developments in the Market:
Ø In August 2020, Hyundai collaborates with Aptiv on a project called Motional. The new joint venture, in which both parties own 50% of the new company. The goal of their new venture is to develop Level 4 and Level 5 commercial-ready self-driving systems and makes them available to robotaxi and fleet operators, as well as other automakers, by the year 2022.

Global Autonomous Shuttle Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Level of Autonomy, Seating capacity, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Level of Autonomy
Fully
Semi
Hybrid
Partial

By Seating capacity
under 5
5 to 10
More than 10

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
RoLA
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Autonomous Shuttle Market, by Region, 2019-2029 (USD Billion)
1.2.2. Autonomous Shuttle Market, by Level of Autonomy, 2019-2029 (USD Billion)
1.2.3. Autonomous Shuttle Market, by Seating Capacity, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Autonomous Shuttle Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Autonomous Shuttle Market Dynamics
3.1. Autonomous Shuttle Market Impact Analysis (2019-2029) autonomous startups.
3.1.1. Market Drivers
3.1.1.1. Increase in the demand for autonomous vehicles.
3.1.1.2. Growing significance of OEMs and
3.1.2. Market Challenges
3.1.2.1. High Cost of Autonomous Shuttle
3.1.3. Market Opportunities
3.1.3.1. Growing environmental concerns.
3.1.3.2. Rising road safety awareness

3.1.3.3. Rising awareness about safety and security of vehicles
Chapter 4. Global Autonomous Shuttle 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Autonomous Shuttle Market, by Level of Autonomy
6.1. Market Snapshot
6.2. Global Autonomous Shuttle Market by Level of Autonomy, Performance – Potential Analysis
6.3. Global Autonomous Shuttle Market Estimates & Forecasts by Level of Autonomy 2019-2029 (USD Billion)
6.4. Autonomous Shuttle Market, Sub Segment Analysis
6.4.1. Fully
6.4.2. Semi
6.4.3. Hybrid
6.4.4. Partial

Chapter 7. Global Autonomous Shuttle Market, by Seating capacity
7.1. Market Snapshot
7.2. Global Autonomous Shuttle Market by Seating capacity, Performance – Potential Analysis
7.3. Global Autonomous Shuttle Market Estimates & Forecasts by Seating capacity 2019-2029 (USD Billion)
7.4. Autonomous Shuttle Market, Sub Segment Analysis
7.4.1. under 5
7.4.2. 5 to 10
7.4.3. More than 10
Chapter 8. Global Autonomous Shuttle Market, Regional Analysis
8.1. Autonomous Shuttle Market, Regional Market Snapshot
8.2. North America Autonomous Shuttle Market
8.2.1. U.S. Autonomous Shuttle Market
8.2.1.1. Level of Autonomy breakdown estimates & forecasts, 2019-2029
8.2.1.2. Seating capacity breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Autonomous Shuttle Market
8.3. Europe Autonomous Shuttle Market Snapshot
8.3.1. U.K. Autonomous Shuttle Market
8.3.2. Germany Autonomous Shuttle Market
8.3.3. France Autonomous Shuttle Market
8.3.4. Spain Autonomous Shuttle Market
8.3.5. Italy Autonomous Shuttle Market
8.3.6. Rest of Europe Autonomous Shuttle Market
8.4. Asia-Pacific Autonomous Shuttle Market Snapshot
8.4.1. China Autonomous Shuttle Market
8.4.2. India Autonomous Shuttle Market
8.4.3. Japan Autonomous Shuttle Market
8.4.4. Australia Autonomous Shuttle Market
8.4.5. South Korea Autonomous Shuttle Market
8.4.6. Rest of Asia Pacific Autonomous Shuttle Market
8.5. Latin America Autonomous Shuttle Market Snapshot
8.5.1. Brazil Autonomous Shuttle Market
8.5.2. Mexico Autonomous Shuttle Market
8.5.3. Rest of Latin America Autonomous Shuttle Market
8.6. Rest of The World Autonomous Shuttle Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Aptiv Inc
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Robert Bosch GmbH
9.2.3. Continental AG
9.2.4. ZF Friedrichshafen AG
9.2.5. Google LLC
9.2.6. Visteon Corporation
9.2.7. Cisco Systems Inc
9.2.8. Denso Corporation
9.2.9. Delphi Inc.
9.2.10. Valeo S.A.

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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Data Collection:
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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.
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