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AUTOMOTIVE & TRANSPORTATION

Global Semi-Autonomous and Autonomous Trucks and Buses Market - Industry Trends and Forecast to 2032

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​REPORT OVERVIEW

Global Semi-Autonomous and Autonomous Trucks and Buses Market, By Vehicle Type (Buses and Trucks), Vehicle Class (Class 1- Class 3, Class 4- Class 6, Class 7- Class 9), Propulsion Type (Diesel, Electric, Hybrid), ADAS Features (Adaptive Cruise Control (ACC), Automatic Emergency Braking (AEB), Blind Spot Detection (BSD), Lane Keep Assist (LKA), Intelligent Park Assist (IPA), Traffic Jam Assist (TJA), Highway Pilot (HP)), Level of Autonomy (L1, L2 and L3, L4, L5), Sensor Type (Cameras, LiDAR, Radar Sensors, Ultrasonic Sensors), Application (Last-mile Delivery Trucks, Mining Trucks, Shuttles, Intercity/Intracity Buses)  Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.

Market Insights
The global semi-autonomous & autonomous trucks and buses market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.

Semi-autonomous and autonomous trucks and buses are vehicles outfitted with modern technology that allows for varying degrees of driving automation. Semi-autonomous vehicles require human supervision but may execute certain driving functions independently, such as lane keeping and adaptive cruise control. Autonomous vehicles, on the other hand, may operate without human intervention, using technologies such as LiDAR, cameras, and artificial intelligence to navigate and make driving decisions on their own. The Semi-Autonomous and Autonomous Trucks and Buses Market includes the development, manufacturing, and deployment of these advanced vehicles. It includes a variety of technologies, such as sensor systems, software algorithms, and networking solutions, all with the goal of improving transportation safety, and efficiency, and lowering operational costs. The market is driven by governmental support for autonomous driving technology, the growing need for safer road systems, and improvements in artificial intelligence.The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
  • Government regulations and incentives for autonomous vehicles.
  • Demand for improved safety and reduced human error.
RESTRAINTS
  • High development and implementation costs.
  • Regulatory and safety approval delays.
OPPORTUNITIES
  • Expansion into new markets and regions.
  • Collaboration with technology and automotive companies.
CHALLENGES
  • Ensuring cybersecurity and data privacy.
  • Integrating autonomous vehicles with existing infrastructure.

​SEGMENTATION

  • Vehicle Type
    • Buses
    • Trucks
  • Vehicle Class
    • Class 1- Class 3
    • Class 4- Class 6
    • Class 7- Class 9
  • Propulsion Type
    • Diesel
    • Electric
    • Hybrid
  • ADAS features
    • Adaptive Cruise Control (ACC)
    • Automatic Emergency Braking (AEB)
    • Blind Spot Detection (BSD)
    • Lane Keep Assist (LKA)
    • Intelligent Park Assist (IPA)
    • Traffic Jam Assist (TJA)
    • Highway Pilot (HP)
  • Level of autonomy
    • L1
    • L2 and L3
    • L4
    • L5
  • Sensor type
    • Cameras
    • LiDAR
    • Radar Sensors
    • Ultrasonic Sensors
  • Application
    • Last-mile Delivery Trucks
    • Mining Trucks
    • Shuttles
    • Intercity/Intracity Buses
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
  • North America
    • U.S.
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Russia
    • The Netherlands
    • Belgium
    • Turkey
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
    • Malaysia
    • Australia
    • Thailand
    • Philippines
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Argentina
    • Chile
    • Colombia
    • Rest of South America
  • Middle East and Africa
    • Kingdom of Saudi Arabia
    • South Africa
    • U.A.E.
    • Egypt
    • Rest of Middle East and Africa

​KEY MARKET PLAYERS

  • Daimler Truck AG
  • AB Volvo
  • Iveco S.p.A.
  • NVIDIA Corporation
  • Robert Bosch GmbH
  • Continental AG
  • Intel
  • JSC Kamaz
  • PACCAR
  • Qualcomm

​Table OF CONTENTS

  • SECTION 1 - INTRODUCTION
  • 1.1 Taxonomy
  • 1.2 Market Overview
  • 1.3 Currency and Limitations
  •   1.3.1 Currency
  •   1.3.2 Limitations
  • 1.4 Key Competitors

  • SECTION 2 - RESEARCH METHODOLOGY
  • 2.1 Research Approach
  • 2.2 Data Collection and Validation
  •   2.2.1 Secondary Research
  •   2.2.2 Primary Research
  • 2.3 Market Assessment
  •   2.3.1 Market Size Estimation
  •   2.3.2 Bottom-up Approach
  •   2.3.3 Top-down Approach
  •   2.3.4 Growth Forecast
  • 2.4 Market Study Assumptions
  • 2.5 Data Sources

  • SECTION 3 - EXECUTIVE SUMMARY
  • 3.1 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type
  • 3.2 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class
  • 3.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type
  • 3.4 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features
  • 3.5 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy
  • 3.6 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type
  • 3.7 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Application
  • 3.8 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Geography
  • 3.9 Market Position Grid

  • SECTION 4 - PREMIUM INSIGHTS
  • 4.1 Regulatory Framework
  •   4.1.1 Standards
  •   4.1.2 Regulatory Landscape
  • 4.2 Value Chain Analysis
  • 4.3 Supply Chain Analysis
  • 4.4 COVID-19 Impact
  • 4.5 Russia-Ukraine War Impact
  • 4.6 PORTER's Five Force Analysis
  • 4.7 PESTLE Analysis
  • 4.8 SWOT Analysis
  • 4.9 Go to Market Strategy
  • 4.10 Opportunity Orbit
  • 4.11 Multivariate Modelling
  • 4.10 Pricing Analysis

  • SECTION 5 - MARKET DYNAMICS
  • 5.1 Trends
  •   5.1.1 Increasing adoption of autonomous driving technology.
  •   5.1.2 Integration of AI and machine learning for enhanced safety.
  •   5.1.3 Trend 3
  • 5.2 Drivers
  •   5.2.1 Government regulations and incentives for autonomous vehicles.
  •   5.2.2 Demand for improved safety and reduced human error.
  •   5.2.3 Driver 3
  •   5.2.4 Driver 4
  • 5.3 Restraints
  •   5.3.1 High development and implementation costs.
  •   5.3.2 Regulatory and safety approval delays.
  •   5.3.3 Restraint 3
  • 5.4 Opportunities
  •   5.4.1 Expansion into new markets and regions.
  •   5.4.2 Collaboration with technology and automotive companies.
  •   5.4.3 Opportunity 3
  •   5.4.4 Opportunity 4
  • 5.5 Challenges
  •   5.5.1 Ensuring cybersecurity and data privacy.
  •   5.5.2 Integrating autonomous vehicles with existing infrastructure.
  •   5.5.3 Challenge 3

  • SECTION 6 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY VEHICLE TYPE
  • 6.1 Vehicle Type Summary
  • 6.2 Market Attractive Index
  • 6.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)

  • SECTION 7 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY VEHICLE CLASS
  • 7.1 Vehicle Class Summary
  • 7.2 Market Attractive Index
  • 7.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)

  • SECTION 8 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY PROPULSION TYPE
  • 8.1 Propulsion Type Summary
  • 8.2 Market Attractive Index
  • 8.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)

  • SECTION 9 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY ADAS FEATURES
  • 9.1 ADAS Features Summary
  • 9.2 Market Attractive Index
  • 9.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)

  • SECTION 10 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY LEVEL OF AUTONOMY
  • 10.1 Level of Autonomy Summary
  • 10.2 Market Attractive Index
  • 10.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)

  • SECTION 11 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY SENSOR TYPE
  • 11.1 Sensor Type Summary
  • 11.2 Market Attractive Index
  • 11.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)

  • SECTION 12 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY APPLICATION
  • 12.1 Application Summary
  • 12.2 Market Attractive Index
  • 12.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)

  • SECTION 13 - GLOBAL SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET, BY GEOGRAPHY
  • 13.1 Regional Summary
  • 13.2 Market Attractive Index
  • 13.3 Global Semi-Autonomous & Autonomous Trucks and Buses Market, by Geography (2019-2032)

  • SECTION 14 - NORTH AMERICA SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET
  • 14.1 North America Summary
  • 14.2 Market Attractive Index
  • 14.3 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)
  • 14.4 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)
  • 14.5 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)
  • 14.6 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)
  • 14.7 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)
  • 14.8 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)
  • 14.9 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)
  • 14.10 North America Semi-Autonomous & Autonomous Trucks and Buses Market, by Country (2019-2032)
  •   14.10.1 U.S.
  •   14.10.2 Canada
  •   14.10.3 Mexico
  •   14.10.4 Rest of North America

  • SECTION 15 - EUROPE SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET
  • 15.1 Europe Summary
  • 15.2 Market Attractive Index
  • 15.3 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)
  • 15.4 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)
  • 15.5 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)
  • 15.6 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)
  • 15.7 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)
  • 15.8 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)
  • 15.9 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)
  • 15.10 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, by Country (2019-2032)
  •   15.10.1 Germany
  •   15.10.2 U.K.
  •   15.10.3 France
  •   15.10.4 Italy
  •   15.10.5 Spain
  •   15.10.6 Russia
  •   15.10.7 The Netherlands
  •   15.10.8 Belgium
  •   15.10.9 Turkey
  •   15.10.10 Rest of Europe

  • SECTION 16 - ASIA-PACIFIC SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET
  • 16.1 Asia-Pacific Summary
  • 16.2 Market Attractive Index
  • 16.3 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)
  • 16.4 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)
  • 16.5 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)
  • 16.6 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)
  • 16.7 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)
  • 16.8 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)
  • 16.9 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)
  • 16.10 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, by Country (2019-2032)
  •   16.10.1 China
  •   16.10.2 India
  •   16.10.3 Japan
  •   16.10.4 South Korea
  •   16.10.5 Singapore
  •   16.10.6 Malaysia
  •   16.10.7 Australia
  •   16.10.8 Thailand
  •   16.10.9 Philippines
  •   16.10.10 Rest of Asia-Pacific

  • SECTION 17 - SOUTH AMERICA SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET
  • 17.1 South America Summary
  • 17.2 Market Attractive Index
  • 17.3 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)
  • 17.4 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)
  • 17.5 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)
  • 17.6 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)
  • 17.7 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)
  • 17.8 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)
  • 17.9 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)
  • 17.10 South America Semi-Autonomous & Autonomous Trucks and Buses Market, by Country (2019-2032)
  •   17.10.1 Brazil
  •   17.10.2 Argentina
  •   17.10.3 Chile
  •   17.10.4 Colombia
  •   17.10.5 Rest of South America

  • SECTION 18 - MIDDLE EAST AND AFRICA SEMI-AUTONOMOUS & AUTONOMOUS TRUCKS AND BUSES MARKET
  • 18.1 Middle East and Africa Summary
  • 18.2 Market Attractive Index
  • 18.3 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Type (2019-2032)
  • 18.4 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Vehicle Class (2019-2032)
  • 18.5 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Propulsion Type (2019-2032)
  • 18.6 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by ADAS Features (2019-2032)
  • 18.7 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Level of Autonomy (2019-2032)
  • 18.8 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Sensor Type (2019-2032)
  • 18.9 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Application (2019-2032)
  • 18.10 Middle East and Africa Semi-Autonomous & Autonomous Trucks and Buses Market, by Country (2019-2032)
  •   18.10.1 Kingdom of Saudi Arabia
  •   18.10.2 South Africa
  •   18.10.3 U.A.E.
  •   18.10.4 Egypt
  •   18.10.5 Rest of Middle East and Africa

  • SECTION 19 - COMPANY SHARE ANALYSIS
  • 19.1 Global Semi-Autonomous & Autonomous Trucks and Buses Market, Company Share Analysis
  • 19.2 North America Semi-Autonomous & Autonomous Trucks and Buses Market, Company Share Analysis
  • 19.3 Europe Semi-Autonomous & Autonomous Trucks and Buses Market, Company Share Analysis
  • 19.4 Asia-Pacific Semi-Autonomous & Autonomous Trucks and Buses Market, Company Share Analysis

  • SECTION 20 - COMPANY PROFILES
  • 20.1 Daimler Truck AG
  •   20.1.1 Company Snapshot
  •   20.1.2 Financial Overview
  •   20.1.3 Product Portfolio
  •   20.1.4 Recent Developments
  • 20.2 AB Volvo
  •   20.2.1 Company Snapshot
  •   20.2.2 Financial Overview
  •   20.2.3 Product Portfolio
  •   20.2.4 Recent Developments
  • 20.3 Iveco S.p.A.
  •   20.3.1 Company Snapshot
  •   20.3.2 Financial Overview
  •   20.3.3 Product Portfolio
  •   20.3.4 Recent Developments
  • 20.4 NVIDIA Corporation
  •   20.4.1 Company Snapshot
  •   20.4.2 Financial Overview
  •   20.4.3 Product Portfolio
  •   20.4.4 Recent Developments
  • 20.5 Robert Bosch GmbH
  •   20.5.1 Company Snapshot
  •   20.5.2 Financial Overview
  •   20.5.3 Product Portfolio
  •   20.5.4 Recent Developments
  • 20.6 Continental AG
  •   20.6.1 Company Snapshot
  •   20.6.2 Financial Overview
  •   20.6.3 Product Portfolio
  •   20.6.4 Recent Developments
  • 20.7 Intel
  •   20.7.1 Company Snapshot
  •   20.7.2 Financial Overview
  •   20.7.3 Product Portfolio
  •   20.7.4 Recent Developments
  • 20.8 JSC Kamaz
  •   20.8.1 Company Snapshot
  •   20.8.2 Financial Overview
  •   20.8.3 Product Portfolio
  •   20.8.4 Recent Developments
  • 20.9 PACCAR
  •   20.9.1 Company Snapshot
  •   20.9.2 Financial Overview
  •   20.9.3 Product Portfolio
  •   20.9.4 Recent Developments
  • 20.10 Qualcomm
  •   20.10.1 Company Snapshot
  •   20.10.2 Financial Overview
  •   20.10.3 Product Portfolio
  •   20.10.4 Recent Developments

  • SECTION 21 - RELATED REPORTS

  • SECTION 22 - DISCLAIMER

​RESEARCH METHODOLOGY

The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.

Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.

The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.

Below mention are few of the sources which we have considered while estimating the market size:
For instance,
  • Research articles published on Technium
  • Science and MDPI
  • Research publications by government approved associations and societies

Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING

The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.

MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.

Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.

We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT

Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.

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