【英語タイトル】Global Automotive Blind Spot Detection (BSD) System Market Size study & Forecast, by Component Type (Ultrasonic, RADAR, Cameras) by Vehicle Type (Passenger Cars, Commercial Vehicles) and Regional Analysis, 2022-2029
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| ・商品コード:BZW23MA132
・発行会社(調査会社):Bizwit Research & Consulting
・発行日:2023年4月10日
・ページ数:約200
・レポート言語:英語
・レポート形式:PDF
・納品方法:Eメール(受注後3営業日)
・調査対象地域:アメリカ、カナダ、イギリス、ドイツ、フランス、スペイン、イタリア、中国、インド、日本、オーストラリア、韓国、ブラジル、メキシコ、
・産業分野:自動車
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❖ レポートの概要 ❖
Bizwit Research社発行の本調査レポートによると、2021年に39億ドルであった世界の車載用死角検出(BSD)システム市場規模が、予測期間中(2022年-2029年)に13.70%以上成長すると予想されます。本レポートは、車載用死角検出(BSD)システムの世界市場を調査・分析し、エグゼクティブサマリー、市場定義・範囲、市場動向、産業分析、コンポーネント別(超音波、レーダー、カメラ)分析、自動車種類別(乗用車、商用車)分析、地域別(北米、ヨーロッパ、アジア太平洋、中南米、アメリカ、カナダ、イギリス、ドイツ、フランス、スペイン、イタリア、中国、インド、日本、オーストラリア、韓国、ブラジル、メキシコ、その他)分析、競争分析、調査プロセスなどの内容を掲載しています。なお、参入企業情報として、、Robert Bosch GmbH、Delphi Automotive LLP、Continental AG、Preco Electronics、ZF Friedrichafen AG、Autoliv、Denso Corporation、Valeo、Velodyne Lidar Inc.、Ficosa Internacional SAなどが含まれています。
・エグゼクティブサマリー
・市場定義・範囲
・市場動向
・産業分析
・リスク分析(新型コロナウイルス感染症の影響)
・世界の車載用死角検出(BSD)システム市場規模:コンポーネント別
- 超音波の市場規模
- レーダーの市場規模
- カメラの市場規模
・世界の車載用死角検出(BSD)システム市場規模:自動車種類別
- 乗用車における市場規模
- 商用車における市場規模
・世界の車載用死角検出(BSD)システム市場規模:地域別
- 北米の車載用死角検出(BSD)システム市場規模
アメリカの車載用死角検出(BSD)システム市場規模
カナダのの車載用死角検出(BSD)システム市場規模
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- ヨーロッパの車載用死角検出(BSD)システム市場規模
イギリスの車載用死角検出(BSD)システム市場規模
ドイツの車載用死角検出(BSD)システム市場規模
フランスの車載用死角検出(BSD)システム市場規模
…
- アジア太平洋の車載用死角検出(BSD)システム市場規模
中国の車載用死角検出(BSD)システム市場規模
インドの車載用死角検出(BSD)システム市場規模
日本の車載用死角検出(BSD)システム市場規模
…
- 中南米の車載用死角検出(BSD)システム市場規模
ブラジルの車載用死角検出(BSD)システム市場規模
メキシコの車載用死角検出(BSD)システム市場規模
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- その他地域の車載用死角検出(BSD)システム市場規模
・競争分析
・調査プロセス |
Global Automotive Blind Spot Detection (BSD) System Market is valued at approximately USD 3.9 Billion in 2021 and is anticipated to grow with a healthy growth rate of more than 13.7% over the forecast period 2022-2029. The automotive sector has witnessed a rise in the adoption of smart technologies, one of which is blind spot detection (BSD). It is a sort of advanced driver assistance system that uses unique sensors to detect items in a blind spot. Image sensors are typically used to communicate an image to the monitor to deliver critical information to the driver. When these sensors detect the presence of an object in the blind spot, they sound an alarm. Additionally, different automotive manufacturers use different names for the BSD system, such as blind-spot monitoring and blind-spot information system. The Automotive Blind Spot Detection (BSD) System Market is expanding because of factors such as strict safety standards and increasing consumer preference for safety solutions.
According to the WHO, approximately 1.25 million people die in traffic accidents each year. To combat escalating traffic accidents, governments have set severe regulations on automotive manufacturers to adopt modern safety measures that assist save the lives of drivers and passengers. In Georgia, approximately 121 people per 1,000,000 people died as a result of traffic accidents in 202so0. Despite having left-hand traffic, the country imports a considerable number of right-hand drive vehicles. Georgia appears to lack strong rear passenger restraint rules as well. The number of traffic deaths in the United States remained high in 2019, however, they were marginally lower than the previous year. Distracted driving appears to reduce the benefits of higher restraint use and improved safety aid systems for motor vehicles. Also, automobile manufacturers must get safety ratings from organizations such as the Insurance Institute of Highway Safety (IIHS), the New Car Assessment Program (NCAP), and the International Centre for Automotive Technology (ICAT) to obtain market access for their vehicles. Thus, all of the government’s safety rules and regulations are predicted to promote the growth of the blind spot detection system market in the future years. Also, technological advancements and rising demand for driving comfort will provide lucrative growth opportunities for the market during the forecast period. However, unfavorable weather conditions hamper market growth during the forecast period of 2022-2029.
The key regions considered for the Global Automotive Blind Spot Detection (BSD) System Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the easy availability of raw materials and the mass manufacture of BSD system technology at lesser rates are driving Asia Pacific’s growth in this market. Consumers’ purchasing preferences for vehicles have shifted from entry-level to mid-level versions as their disposable income has increased. North America is expected to grow with the highest CAGR during the forecast period, owing to factors such as the ruling organizations in this region that have enhanced the vehicle rating system, forcing manufacturers to build automobiles that fulfil the government’s safety standards.
Major market player included in this report are:
Robert Bosch GmbH
Delphi Automotive LLP
Continental AG
Preco Electronics
ZF Friedrichafen AG
Autoliv
Denso Corporation
Valeo
Velodyne Lidar Inc.
Ficosa Internacional SA
Recent Developments in the Market:
In November 2020, Velodyne Lidar Inc. had launched its solid state Velarray H800 sensor. This new sensor is intended for use in ADAS and autonomous mobility applications for safe navigation and collision avoidance.
Global Automotive Blind Spot Detection (BSD) System 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 Component Type, Vehicle Type, 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 Component Type offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component Type:
Ultrasonic
RADAR
Cameras
By Vehicle Type:
Passenger Cars
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
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. Automotive Blind Spot Detection (BSD) System Market, by Region, 2019-2029 (USD Billion)
1.2.2. Automotive Blind Spot Detection (BSD) System Market, by Component Type, 2019-2029 (USD Billion)
1.2.3. Automotive Blind Spot Detection (BSD) System Market, by Vehicle Type, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automotive Blind Spot Detection (BSD) System 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 Automotive Blind Spot Detection (BSD) System Market Dynamics
3.1. Automotive Blind Spot Detection (BSD) System Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Strict Safety Standards
3.1.1.2. Increasing Consumer Preference for Safety Solutions
3.1.2. Market Challenges
3.1.2.1. Unfavourable Weather Conditions
3.1.3. Market Opportunities
3.1.3.1. Technological advancements
3.1.3.2. Rising demand for driver comfort
Chapter 4. Global Automotive Blind Spot Detection (BSD) System 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. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
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 Automotive Blind Spot Detection (BSD) System Market, by Component Type
6.1. Market Snapshot
6.2. Global Automotive Blind Spot Detection (BSD) System Market by Component Type, Performance – Potential Analysis
6.3. Global Automotive Blind Spot Detection (BSD) System Market Estimates & Forecasts by Component Type 2019-2029 (USD Billion)
6.4. Automotive Blind Spot Detection (BSD) System Market, Sub Segment Analysis
6.4.1. Ultrasonic
6.4.2. RADAR
6.4.3. Cameras
Chapter 7. Global Automotive Blind Spot Detection (BSD) System Market, by Vehicle Type
7.1. Market Snapshot
7.2. Global Automotive Blind Spot Detection (BSD) System Market by Vehicle Type, Performance – Potential Analysis
7.3. Global Automotive Blind Spot Detection (BSD) System Market Estimates & Forecasts by Vehicle Type 2019-2029 (USD Billion)
7.4. Automotive Blind Spot Detection (BSD) System Market, Sub Segment Analysis
7.4.1. Passenger Cars
7.4.2. Commercial Vehicles
Global Automotive Blind Spot Detection (BSD) System Market, Regional Analysis
7.5. Automotive Blind Spot Detection (BSD) System Market, Regional Market Snapshot
7.6. North America Automotive Blind Spot Detection (BSD) System Market
7.6.1. U.S. Automotive Blind Spot Detection (BSD) System Market
7.6.1.1. Component Type breakdown estimates & forecasts, 2019-2029
7.6.1.2. Vehicle Type breakdown estimates & forecasts, 2019-2029
7.6.2. Canada Automotive Blind Spot Detection (BSD) System Market
7.7. Europe Automotive Blind Spot Detection (BSD) System Market Snapshot
7.7.1. U.K. Automotive Blind Spot Detection (BSD) System Market
7.7.2. Germany Automotive Blind Spot Detection (BSD) System Market
7.7.3. France Automotive Blind Spot Detection (BSD) System Market
7.7.4. Spain Automotive Blind Spot Detection (BSD) System Market
7.7.5. Italy Automotive Blind Spot Detection (BSD) System Market
7.7.6. Rest of Europe Automotive Blind Spot Detection (BSD) System Market
7.8. Asia-Pacific Automotive Blind Spot Detection (BSD) System Market Snapshot
7.8.1. China Automotive Blind Spot Detection (BSD) System Market
7.8.2. India Automotive Blind Spot Detection (BSD) System Market
7.8.3. Japan Automotive Blind Spot Detection (BSD) System Market
7.8.4. Australia Automotive Blind Spot Detection (BSD) System Market
7.8.5. South Korea Automotive Blind Spot Detection (BSD) System Market
7.8.6. Rest of Asia Pacific Automotive Blind Spot Detection (BSD) System Market
7.9. Latin America Automotive Blind Spot Detection (BSD) System Market Snapshot
7.9.1. Brazil Automotive Blind Spot Detection (BSD) System Market
7.9.2. Mexico Automotive Blind Spot Detection (BSD) System Market
7.10. Rest of The World Automotive Blind Spot Detection (BSD) System Market
Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Robert Bosch GmbH
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Component Type Summary
8.2.1.5. Recent Developments
8.2.2. Delphi Automotive LLP
8.2.3. Continental AG
8.2.4. Preco Electronics
8.2.5. ZF Friedrichafen AG
8.2.6. Autoliv
8.2.7. Denso Corporation
8.2.8. Valeo
8.2.9. Ficosa Internacional SA
8.2.10. Velodyne Lidar Inc.
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption