The Market Reports

Synopsis
The global market for Automated and Convenient Transportation was estimated to be worth US$ 1438 million in 2024 and is forecast to a readjusted size of US$ 2141 million by 2031 with a CAGR of 5.9% during the forecast period 2025-2031.
Transport automation considers the range of technologies and control systems that can be implemented for kinds of transportation modes, but also at terminals such as airports, ports, and distribution centers. Transport automation is the pursuit of the goal of removing the human element from transportation systems. Automated transport systems involve the application of modes of transport that function automatically, without human intervention. In this report, automated and convenient transportation mainly focus on rail (and dedicated lanes) transportation solutions with automated and convenient capabilities.
Global key players of Automated and Convenient Transportation include Alstom and Siemens, etc. The top two players hold a share over 50%. Alstom is the largest manufacturers of Automated and Convenient Transportation in the world, has a share about 35%. China is the largest market, has a share about 38%. In terms of product type, Heavy Automated and Convenient Transportation is the largest segment, occupied for a share of about 70%, and in terms of application, Airports Traffic has a share about 70 percent.
Analysis of market drivers of Automated and Convenient Transportation,
1. Technological innovation and cost optimization
Breakthroughs in autonomous driving technology:
Sensor fusion: LiDAR costs will drop by 60% in 5 years (Yole forecast), and 4D millimeter-wave radar resolution will be increased to 0.1°, promoting the commercialization of L4 autonomous driving.
AI algorithm evolution: large models optimize decision-making and planning, and the takeover rate of complex scenarios will be reduced from the current 1 time/1,000 kilometers to 0.5 times/10,000 kilometers.
Vehicle-road collaboration (V2X):
5G-V2X penetration rate will reach 40% in 2030 (ABI Research), achieving intersection signal light collaboration and beyond-line-of-sight perception, and improving traffic efficiency by 30%.
2. Policy and infrastructure support
Government investment increases:
The U.S. Infrastructure Act invests $110 billion in intelligent transportation, and the EU's European Transport Intelligence System (ETSI) promotes the unification of cross-border standards.
China's "new infrastructure" plans to deploy more than one million roadside units (RSUs) to build a smart city transportation network.
Regulations are loosened: Shenzhen, California and other places allow autonomous driving tests without safety officers. Germany amends the "Autonomous Driving Law" to clarify the responsibility and accelerate commercialization.
3. Changes in consumer behavior
Convenience premium:
72% of consumers are willing to pay 20% more for the "last mile" autonomous driving shuttle service (McKinsey survey), and the pain points of urban commuting have given rise to demand.
Shared autonomous driving fleets (such as Zoox) provide on-demand mobility as a service (MaaS) to replace the private car ownership model.
Aging and barrier-free needs:
The global population over 65 years old will reach 1 billion in 2030. Autonomous driving vehicles will solve the driving problems of the elderly/disabled. Japan/Europe will take the lead in deploying aging-friendly fleets.
4. Penetration of the sharing economy model
Asset utilization revolution:
The average daily number of orders for autonomous taxis (Robotaxi) has increased from 15 orders for manual driving to 30 orders, and the operating cost of each vehicle has been reduced by 40% (Uber ATG data).
In the freight sector, autonomous trucks (such as TuSimple) achieve 24-hour continuous transportation, saving 70% of labor costs.
5. Carbon neutrality goals force
Transportation emission reduction pressure:
Global transportation carbon emissions need to be reduced by 20% by 2030 (Paris Agreement goal). Autonomous driving optimizes traffic flow and popularizes electric platforms, helping to reduce emissions by 35% per vehicle.
Intelligent transportation systems reduce congestion by 15% (World Bank data), indirectly reducing fuel consumption/emissions.
6. Post-epidemic behavioral inertia
Normalization of contactless services:
The use of autonomous delivery vehicles (such as Nuro) surged by 300% during the epidemic, and consumer acceptance jumped from 35% to 68% (Statista).
Shared travel hygiene standards have been upgraded, and the automation rate of disinfection in autonomous driving cabins has reached 95%.
7. Cross-industry ecological integration
Technology giants enter the market:
Apple, Huawei and others have deployed in-vehicle computing platforms, and NVIDIA DRIVE Orin chip computing power reaches 254 TOPS, supporting multi-sensor fusion.
Travel platforms (Uber/Didi) cooperate with car companies to customize Robotaxi to accelerate the implementation of scenarios.
Market growth forecast and competition focus
Winning factors:
Data closed-loop capability: Tesla accumulates 10 billion miles of road data through shadow mode to optimize the algorithm iteration speed.
Localized compliance: Waymo focuses on the suburbs of the United States, AutoX focuses on urban villages in China, and differentiated scenarios break through.
Summary: The three core driving forces of technology cost inflection point, policy infrastructure coordination, and consumer generational demand changes, superimposed with carbon neutrality and public health events, are reshaping the transportation industry value chain. Chinese companies need to strengthen the output capabilities of vehicle-road-cloud integrated solutions and compete for the right to speak in standard setting.
This report aims to provide a comprehensive presentation of the global market for Automated and Convenient Transportation, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Automated and Convenient Transportation by region & country, by Type, and by Application.
The Automated and Convenient Transportation market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automated and Convenient Transportation.
Market Segmentation
By Company
Alstom
Siemens
Hitachi Rail
Doppelmayr
Mitsubishi Heavy Industries
2getthere
HIT Group
Glydways
Modutram
Urbanloop
Segment by Type
Heavy Automated and Convenient Transportation
Light Automated and Convenient Transportation
Segment by Application
Airports Traffic
City Traffic
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Automated and Convenient Transportation company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Automated and Convenient Transportation in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Automated and Convenient Transportation in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Index