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Market Overview of Global AI in Transportation market:
According to our latest research, the global AI in Transportation market looks promising in the next 5 years. As of 2022, the global AI in Transportation market was estimated at USD XX million, and it's anticipated to reach USD XX million in 2028, with a CAGR of XX% during the forecast years.
This report covers a research time span from 2018 to 2028, and presents a deep and comprehensive analysis of the global AI in Transportation market, with a systematical description of the status quo and trends of the whole market, a close look into the competitive landscape of the major players, and a detailed elaboration on segment markets by type, by application and by region.
Key Takeaways from the Global AI in Transportation Market Report:
Market Size Estimates: AI in Transportation market size estimation in terms of value and sales volume from 2018-2028
Market Trends and Dynamics: AI in Transportation market drivers, opportunities, challenges, and risks
Macro-economy and Regional Conflict: Influence of global inflation and Russia & Ukraine War on the AI in Transportation market
Segment Market Analysis: AI in Transportation market value and sales volume by type and by application from 2018-2028
Regional Market Analysis: AI in Transportation market situations and prospects in North America, Asia Pacific, Europe, Latin America, Middle East, Africa
Country-level Studies on the AI in Transportation Market: Revenue and sales volume of major countries in each region
AI in Transportation Market Competitive Landscape and Major Players: Analysis of 10-15 leading market players, sales, price, revenue, gross, gross margin, product profile and application, etc.
Trade Flow: Import and export volume of the AI in Transportation market in major regions.
AI in Transportation Industry Value Chain: AI in Transportation market raw materials & suppliers, manufacturing process, distributors, downstream customers
AI in Transportation Industry News, Policies & Regulations
Key players in the global AI in Transportation market are covered in Chapter 12:
Robert Bosch
Alphabet
Valeo
Scania
Daimler
ZF Friedrichshafen
Volvo
NVIDIA
MAN
Intel Corporation
PACCAR
Continental
Microsoft
In Chapter 2 and Chapter 15.1, based on types, the AI in Transportation market from 2018 to 2028 is primarily split into:
Hardware
Software
In Chapter 3 and Chapter 15.2, based on applications, the AI in Transportation market from 2018 to 2028 covers:
Human Machine Interface (HMI)
Advance Driver Assistance System (ADAS)
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 7, 8, 9, 10, 11, 15.3, 15.4:
North America (Covered in Chapter 7)
United States
Canada
Asia-Pacific (Covered in Chapter 8)
China
Japan
India
South Korea
Southeast Asia
Australia
Others
Europe (Covered in Chapter 9)
Germany
France
UK
Italy
Spain
Russia
Poland
Others
Latin America (Covered in Chapter 10)
Mexico
Brazil
Argentina
Others
Middle East and Africa (Covered in Chapter 11)
GCC Countries
Africa
Others
The data of this research report is mainly obtained from industry associations, magazines, press releases, national customs, annual reports of enterprises, expert interviews, paid databases and other channels with authority. It also provides scientific forecasts of the industry's core development indicators through professional analysis and forecasting models.
In short, whatever role you take in this industry value chain, this report will help you or your company to acquire a systematic and in-depth understanding of the industry.
Chapter Outline
This report consists of 16 chapters. Below is a brief guideline to help you quickly grasp the main contents of each chapter:
Chapter 1 starts the report with an overview of the AI in Transportation market, as well as the definitions of the target market and the subdivisions. Through the presented global market size, regional market sizes, and segment market shares, you will be able to draw an overall and comprehensive picture of the market situation. Meanwhile, the research method and data source will be shared in this chapter.
Chapter 2 and Chapter 3 breaks down the market by different types and applications, with historic data presented in metrics of sales volume, revenue, market share and growth rate.
Chapter 4 elaborates on market dynamics and future trends in the industry, which contains an in-depth analysis of market drivers, opportunities, challenges, and risks. Other essential factors that will have a major impact on the market, i.e., industry news and policies in recent years, global inflation, and regional conflict, are also taken into consideration.
Chapter 5 compares the sales volume and revenue of the major regions across the globe, which enables the readers to understand the regional competitive pattern.
Chapter 6 is the analysis of the trade flow. Import volume and export volume are revealed on a regional level.
Chapters 7-11 focus on country-level studies. Data from the major countries in each region are provided, showing the current development of the industry in different countries. Besides, you will also find qualitative trends analysis under global inflation under each of the 6 regions.
Chapter 12 first up presents the competitive landscape by displaying and comparing the revenues, sales volumes, and market shares of the top players in the market, followed by a company-by-company analysis of all the major market participants with introductions of their products, product applications, company profiles, and business overview. In addition, their competitiveness is manifested through numbers of sales volume, revenue, price, gross and gross margin.
Chapter 13 looks into the whole market industrial chain, ranging from the upstream key raw materials and their suppliers to midstream distributors and downstream customers, with influences of global inflation taken into consideration.
Chapter 14 is perfect for those who wish to develop new projects in the industry. This chapter sheds a light on industry entry barriers and gives suggestions on new project investments.
Chapter 15 forecasts the future trend of the market from the perspective of different types, applications, and major regions.
Chapter 16 is the conclusion of the report which helps the readers sum up the main findings and insights.
Years considered for this report:
Historical Years: 2018-2022
Base Year: 2022
Estimated Year: 2023
Forecast Period: 2023-2028