Market Overview:
The global intelligent cars market is expected to grow at a CAGR of 10.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for passenger vehicles and commercial vehicles, and the rising trend of autonomous driving. The global intelligent cars market is segmented on the basis of type, application, and region. On the basis of type, it is divided into self-produce and contract manufacturing. The self-produce segment dominates this market owing to advancements in technology that have enabled automakers to develop advanced systems in-house. However, contract manufacturing is expected to grow at a higher CAGR during the forecast period as it offers benefits such as reduced costs and shorter time-to-market for products. On the basis of application, it is classified into passenger vehicles and commercial vehicles. Passenger Vehicles are further subsegmented into luxury cars, mid-sized sedans/hatchbacks/SUVs/MPVs), small city cars) while Commercial Vehicles are subsegmented into light commercial vehicles (LCVs) & heavy commercialvehicles (HCVs)). Passenger Vehicles held majority share in 2017 due high adoption rates across developed countries such as U .S., Canada , Germany , France , Japan etc.
Product Definition:
An intelligent car is a vehicle that can sense its surroundings and make decisions accordingly. This can include things like changing lanes, braking, or avoiding obstacles. Intelligent cars are important because they can help to improve safety on the road. They can also make driving easier and more efficient by reducing congestion and helping drivers find routes that avoid traffic jams.
Self-produce:
Self-produce is a term used for the goods manufactured by a company or an individual. It includes products made using machines, tools, and other equipment owned by the manufacturer as well as finished goods produced in a factory owned by the producer. In contrast to externally produced goods, self-produced items are sold directly to consumers without going through any third party such as distributors or suppliers.
Contract manufacturing:
Contract manufacturing is a type of outsourcing services where the manufacturer donates his production line and tools to the service provider. The contract manufacturer supplies raw materials such as electronic components, plastic parts, and other inputs which are used in product manufacturing.
Intelligent cars market is expected to witness significant growth over the forecast period owing to increasing demand for high-tech features in mid-segment vehicles along with premium luxury cars segment.
Application Insights:
The passenger vehicles segment dominated the global intelligent cars market in 2017 and is expected to maintain its lead over the forecast period. The growing need for vehicle automation across all commercial sectors, such as logistics, agriculture and mining, is anticipated to fuel product demand in this segment. Moreover, rising consumer preference for comfort and convenience along with improved driving experience will further propel demand over the forecast period.
The introduction of new self-driving car technologies will also help reduce driver fatigue by enabling drivers to focus on more important tasks while traveling long distances or during long hours of travel. This technology has numerous applications across different types of vehicles including buses, trucks and heavy goods vehicles (HGVs).
Regional Analysis:
The North American region dominated the market in 2017 and is expected to maintain its position over the forecast period. The growth can be attributed to increasing investments in R&D, technological advancements, high purchasing power of consumers, and stringent regulations regarding vehicular emissions. Moreover, presence of prominent players such as Tesla Motors Inc., Google LLC; Apple Inc.; and Ford Motor Company are anticipated to contribute towards regional growth.
Asia Pacific is projected to register significant growth over the forecast period owing to rising disposable income among middle-class population groups in countries such as China and India. Furthermore, government initiatives encouraging people for buying premium cars are also expected drive demand across this region during the estimated time span. For instance: In India Government of India’s ‘Make in India’ initiative has been adopted by all major automobile manufacturers including Maruti Suzuki Ltd., Hyundai Motor Company Limited; Mahindra & Mahindra Ltd.
Growth Factors:
- Increasing demand for fuel-efficient and environment-friendly vehicles
- Rising disposable income of consumers in developing countries
- Proliferation of digital technologies and big data analytics
- Government initiatives to promote the use of electric vehicles
- Emergence of new players in the market
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Cars Market Research Report
By Type
Self-produce, Contract manufacturing
By Application
Passenger Vehicles, Commercial Vehicles
By Companies
Tesla, Apple, Baidu, Google, Huawei, Mercedes-Benz, Groupe PSA, Nissan
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
239
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Cars Market Report Segments:
The global Intelligent Cars market is segmented on the basis of:
Types
Self-produce, Contract manufacturing
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
Passenger Vehicles, Commercial Vehicles
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:
- Tesla
- Apple
- Baidu
- Huawei
- Mercedes-Benz
- Groupe PSA
- Nissan
Highlights of The Intelligent Cars 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:
- Self-produce
- Contract manufacturing
- By Application:
- Passenger Vehicles
- Commercial Vehicles
- 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 Intelligent Cars 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.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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?
Intelligent cars are vehicles that have been designed with the ability to sense their surroundings and make decisions based on that information. This can include things like detecting obstacles in the road, understanding traffic patterns, and responding accordingly. Intelligent cars are also able to communicate with other vehicles and infrastructure using various forms of communication, including but not limited to Bluetooth®, Wi-Fi®, or cellular networks.
Some of the major players in the intelligent cars market are Tesla, Apple, Baidu, Google, Huawei, Mercedes-Benz, Groupe PSA, Nissan.
The intelligent cars market is expected to grow at a compound annual growth rate of 10.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Cars 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 Intelligent Cars Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Intelligent Cars 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 Intelligent Cars 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 Intelligent Cars Market Size & Forecast, 2020-2028 4.5.1 Intelligent Cars Market Size and Y-o-Y Growth 4.5.2 Intelligent Cars 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 Self-produce
5.2.2 Contract manufacturing
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 Passenger Vehicles
6.2.2 Commercial Vehicles
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Cars 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 Intelligent Cars 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 Self-produce
9.6.2 Contract manufacturing
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 Passenger Vehicles
9.10.2 Commercial Vehicles
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 Self-produce
10.6.2 Contract manufacturing
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 Passenger Vehicles
10.10.2 Commercial Vehicles
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 Self-produce
11.6.2 Contract manufacturing
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 Passenger Vehicles
11.10.2 Commercial Vehicles
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 Self-produce
12.6.2 Contract manufacturing
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 Passenger Vehicles
12.10.2 Commercial Vehicles
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 Self-produce
13.6.2 Contract manufacturing
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 Passenger Vehicles
13.10.2 Commercial Vehicles
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 Intelligent Cars Market: Competitive Dashboard
14.2 Global Intelligent Cars Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Tesla
14.3.2 Apple
14.3.3 Baidu
14.3.4 Google
14.3.5 Huawei
14.3.6 Mercedes-Benz
14.3.7 Groupe PSA
14.3.8 Nissan