Market Overview:
The global automotive smart helmet market is expected to grow at a CAGR of 7.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for advanced safety features in helmets and rising awareness about the benefits of using smart helmets. Based on type, the global automotive smart helmet market is segmented into full helmet and half helmet. The full helmet segment is expected to account for a larger share of the market in 2018 owing to its higher adoption rate across different applications. By application, the offline segment is estimated to account for a larger share of the global automotive smart helmet market in 2018, followed by online application.
Product Definition:
An automotive smart helmet is a type of smart wearable device that is specifically designed for use in vehicles, such as cars and motorcycles. It typically includes features such as a heads-up display, sensors to monitor the driver's condition, and communication capabilities to allow the driver to stay connected while on the road. The importance of automotive smart helmets stems from their potential to improve safety for drivers by providing enhanced situational awareness and helping to prevent distractions.
Full Helmet:
Full helmet is a head protection device that was initially designed for military use. However, it has been commercialized and used by sports players as well since the early 2000s. The product has gained immense popularity in recent years owing to growing awareness regarding its benefits such as increased visibility and safety from road traffic injuries among other factors.
Half Helmet:
The half helmet is a type of smart motorcycle helmets which consists of a visor and dark tinted transparent plastic film. The product is manufactured using polycarbonate plastic, which provides superior impact resistance along with an enhanced visual experience.
Half helmets are primarily designed for use by women or men who wear prescription eyeglasses, as the visibility through the windshield is crucial while driving.
Application Insights:
The offline segment dominated the global automotive smart helmet market in 2017 and is expected to continue its dominance over the forecast period. Offline applications include driving simulation, training and gaming. Driving simulation is a major application segment in countries like U.S., Germany, China etc where it's been legalized for road safety purposes only. However, many governments have imposed restrictions on using driving simulators due to concerns regarding driver distraction and fatigue while operating a vehicle on real world roads or highways.
Online applications are anticipated to witness significant growth over the forecast period owing to their increasing usage in professional racing leagues as well as car manufacturers for research & development purposes of new products & services with enhanced features compared with existing products & services offered by automakers themselves without third-party integration capabilities or solutions at this time of writing this article (Sep 2018).
Regional Analysis:
North America is expected to dominate the global market over the forecast period. The region accounted for more than 35% of the overall revenue in 2017 and is anticipated to witness a CAGR of XX% from 2018 to 2030. This growth can be attributed to increasing road accidents, rising awareness about personal safety, and government regulations regarding riding without helmets.
The Asia Pacific regional market captured more than 20% share of the overall revenue in 2017 owing with growing penetration rates for advanced motorcycle helmets coupled with increased sales volume for passenger cars and light commercial vehicles (LCVs). Furthermore, countries such as China are witnessing an increase in demand for electric vehicles which will further boost industry growth over the coming years.
Growth Factors:
- Increasing demand for smart helmets from the automotive sector as a result of increasing safety concerns and stringent government regulations.
- Growing popularity of smart helmets among consumers due to their enhanced features and functionality.
- Proliferation of advanced technologies such as artificial intelligence (AI) and machine learning that are being integrated into smart helmets, thereby enhancing their performance and usability.
- Rising investments by key players in research and development (R&D) activities to develop innovative products that can cater to the needs of consumers worldwide.
Scope Of The Report
Report Attributes
Report Details
Report Title
Automotive Smart Helmet Market Research Report
By Type
Full Helmet, Half Helmet
By Application
Offline, Online
By Companies
Babaali, Bell Helmets, DAQRI, Forcite Helmet Systems, JARVISH, Livall Tech Co.，Ltd., LUMOS HELMET, Nand Logic, Nexsys, Sena Technologies
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
170
Number of Tables & Figures
119
Customization Available
Yes, the report can be customized as per your need.
Global Automotive Smart Helmet Market Report Segments:
The global Automotive Smart Helmet market is segmented on the basis of:
Types
Full Helmet, Half Helmet
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Offline, Online
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Babaali
- Bell Helmets
- DAQRI
- Forcite Helmet Systems
- JARVISH
- Livall Tech Co.，Ltd.
- LUMOS HELMET
- Nand Logic
- Nexsys
- Sena Technologies
Highlights of The Automotive Smart Helmet Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Full Helmet
- Half Helmet
- By Application:
- Offline
- Online
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automotive Smart Helmet Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Automotive Smart Helmet is a wearable device that helps drivers stay safe while driving. It uses sensors to track the driver's head and eyes, and sends alerts if there are any changes in the user's condition.
Some of the major companies in the automotive smart helmet market are Babaali, Bell Helmets, DAQRI, Forcite Helmet Systems, JARVISH, Livall Tech Co.，Ltd., LUMOS HELMET, Nand Logic, Nexsys, Sena Technologies.
The automotive smart helmet market is expected to grow at a compound annual growth rate of 7.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automotive Smart Helmet Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automotive Smart Helmet Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automotive Smart Helmet Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automotive Smart Helmet Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automotive Smart Helmet Market Size & Forecast, 2020-2028
4.5.1 Automotive Smart Helmet Market Size and Y-o-Y Growth
4.5.2 Automotive Smart Helmet Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Full Helmet
5.2.2 Half Helmet
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Offline
6.2.2 Online
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automotive Smart Helmet Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Automotive Smart Helmet Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Full Helmet
9.6.2 Half Helmet
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Offline
9.10.2 Online
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Full Helmet
10.6.2 Half Helmet
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Offline
10.10.2 Online
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Full Helmet
11.6.2 Half Helmet
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Offline
11.10.2 Online
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Full Helmet
12.6.2 Half Helmet
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Offline
12.10.2 Online
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Full Helmet
13.6.2 Half Helmet
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Offline
13.10.2 Online
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Automotive Smart Helmet Market: Competitive Dashboard
14.2 Global Automotive Smart Helmet Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Babaali
14.3.2 Bell Helmets
14.3.3 DAQRI
14.3.4 Forcite Helmet Systems
14.3.5 JARVISH
14.3.6 Livall Tech Co.，Ltd.
14.3.7 LUMOS HELMET
14.3.8 Nand Logic
14.3.9 Nexsys
14.3.10 Sena Technologies
