Artificial Intelligence in Transportation Market Trends, Growth and Size - 2031

Historic Data: 2021-2023 | Base Year: 2024 | Forecast Period: 2025-2031

Coverage: Artificial Intelligence in Transportation Market covers analysis By Machine Learning Technology (Deep Learning, Compute Vision, Others), Application (Semi-Autonomous Vehicles, Autonomous Vehicles, HMI, and Others), Process (Data Mining, Image Recognition, and Signal Recognition), and Geography

Report Date : Nov 2025
Report Code : TIPRE00007768

Category : Technology, Media and Telecommunications
Status : Upcoming

Available Report Formats :
No. of Pages : 150

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Page Updated: Aug 2025

Analysis Strategic Insights Market Drivers Regional Insights Report Scope Recent Developments FAQs

The Artificial Intelligence in Transportation Market is expected to register a CAGR of XX% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.

The report is categorized by Offering (Software, Hardware) and further analyzes the market based on Application (Autonomous Trucks, HMI in Trucks, Semi-Autonomous Trucks). It also examines the market by Technology (Deep Learning, Computer Vision, NLP, Context Awareness) and Industry Process (Signal Recognition, Data Mining, Image Recognition). A comprehensive breakdown is provided at global, regional, and country levels for each of these key segments.

The report includes market size and forecasts across all segments, presenting values in USD. It also delivers key statistics on the current market status of leading players, along with insights into prevailing market trends and emerging opportunities.

Purpose of the Report

The report Artificial Intelligence in Transportation Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:

Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.

Artificial Intelligence in Transportation Market Segmentation

Offering

Software
Hardware

Application

Autonomous Trucks
HMI in Trucks
Semi-Autonomous Trucks

Technology

Deep Learning
Computer Vision
NLP
Context Awareness

Process

Signal Recognition
Data Mining
Image Recognition

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Artificial Intelligence in Transportation Market: Strategic Insights

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This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

Artificial Intelligence in Transportation Market Growth Drivers

Unlocking AI's Potential: Transforming Transportation Efficiency
Driving Innovation: AI Solutions for Smarter Logistics
Navigating the Future: AI Enhancing Safety in Transportation

Artificial Intelligence in Transportation Market Future Trends

Unlocking AI: Transforming Transportation for a Greener Future
Navigating New Roads: AI Innovations in Urban Mobility
Driving Efficiency: AI Solutions for Smarter Logistics

Artificial Intelligence in Transportation Market Opportunities

AI-Powered Vehicles: Redefining Safety and Efficiency in Transit
Smart Traffic Management: AI Optimizing Urban Mobility
Personalized Travel Experiences: AI Tailoring Journeys for Everyone

Artificial Intelligence in Transportation Market Regional Insights

The regional trends and factors influencing the Artificial Intelligence in Transportation Market throughout the forecast period have been thoroughly explained by the analysts at The Insight Partners. This section also discusses Artificial Intelligence in Transportation Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.

Artificial Intelligence in Transportation Market Report Scope

Report Attribute	Details
Market size in 2024	US$ XX million
Market Size by 2031	US$ XX Million
Global CAGR (2025 - 2031)	XX%
Historical Data	2021-2023
Forecast period	2025-2031
Segments Covered	By Offering Software Hardware By Application Autonomous Trucks HMI in Trucks Semi-Autonomous Trucks By Technology Deep Learning Computer Vision NLP Context Awareness By Process Signal Recognition Data Mining Image Recognition
Regions and Countries Covered	North America US Canada Mexico Europe UK Germany France Russia Italy Rest of Europe Asia-Pacific China India Japan Australia Rest of Asia-Pacific South and Central America Brazil Argentina Rest of South and Central America Middle East and Africa South Africa Saudi Arabia UAE Rest of Middle East and Africa
Market leaders and key company profiles	Accenture PLC Amazon Web Services, Inc. door2door GmbH General Electric Company IBM Corporation Intel Corporation KONUX GmbH Microsoft Corporation Nvidia

Artificial Intelligence in Transportation Market Players Density: Understanding Its Impact on Business Dynamics

The Artificial Intelligence in Transportation Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

artificial-intelligence-in-transportation-market-cagr

Get the Artificial Intelligence in Transportation Market top key players overview

Key Selling Points

Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Artificial Intelligence in Transportation Market, providing a holistic landscape.
Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.

The research report on the Artificial Intelligence in Transportation Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.

Frequently Asked Questions

What are the driving factors impacting the global artificial intelligence in transportation market?

The demand for AI in transportation owing to the advancement in automation technology is the major factors driving the artificial intelligence in transportation market.

What are the future trends of the artificial intelligence in transportation market?

Advancements in machine learning technology and the integration of AI in vehicles is the key future trend in the global artificial intelligence in transportation market in the coming years.

Which are the leading players operating in the artificial intelligence in transportation market?

The leading players operating in the artificial intelligence in transportation market include Bosch, Alphabet, Daimler, Magna, Man Energy Solutions, Scanea, Valeo, Volvo, Xevo, and ZF.

What are the deliverable formats of the artificial intelligence in transportation market report?

The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.

What are the options available for the customization of this report?

Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.

What is the expected CAGR of the artificial intelligence in transportation market?

The global artificial intelligence in transportation market is expected to grow at a CAGR of 16.5% during the forecast period 2023 - 2031.

Research Manager

Ankita Mittal

Manager,
Market Research & Consulting

Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.

What are the Artificial Intelligence in Transportation Market report deliverables?

Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
PEST and SWOT Analysis
Market Size Value / Volume - Global, Regional, Country
Industry and Competitive Landscape
Excel Dataset

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