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Artificial Intelligence in Transportation Market by Application Area, Technology, Component, Mode, Deployment, End User - Global Forecast to 2030- Product Image
Artificial Intelligence in Transportation Market by Application Area, Technology, Component, Mode, Deployment, End User - Global Forecast to 2030- Product Image
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Artificial Intelligence in Transportation Market by Application Area, Technology, Component, Mode, Deployment, End User - Global Forecast to 2030

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  • 199 Pages
  • May 2025
  • Region: Global
  • 360iResearch™
  • ID: 5887749
UP TO OFF until Dec 31st 2025
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The Artificial Intelligence in Transportation Market grew from USD 2.52 billion in 2024 to USD 2.88 billion in 2025. It is expected to continue growing at a CAGR of 13.91%, reaching USD 5.52 billion by 2030.

Harnessing AI to Drive the Future of Transportation

The transportation sector is undergoing an unprecedented transformation driven by the infusion of artificial intelligence into every facet of mobility. From autonomous vehicles navigating complex urban environments to predictive maintenance algorithms optimizing fleet uptime, AI technologies are rewriting the rules of engagement across stakeholders. Executives and decision-makers must now contend with a dynamic interplay of innovation, regulation, and competitive intensity that demands both strategic foresight and operational agility.

Against this backdrop, our analysis illuminates how diverse technological building blocks-ranging from computer vision and deep learning to sensor fusion and cloud-native platforms-converge to deliver next-generation transportation solutions. As legacy systems give way to intelligent architectures, organizations that harness these capabilities effectively will unlock new value streams and achieve sustainable growth. This introduction sets the stage for a deeper exploration of shifting market forces, emerging regulatory pressures, and the segmentation insights that will shape investment and partnership decisions in the years ahead.

Unpacking the Transformative Shifts Redefining Mobility

Over the past decade, the confluence of data proliferation, computational power, and advanced algorithms has accelerated transformative shifts in the transportation landscape. Connected vehicles now share real-time telemetry and environmental intelligence, enabling dynamic route optimization and traffic management far beyond traditional static planning. Meanwhile, advances in machine learning models adapted to streaming data have empowered predictive maintenance frameworks that reduce unplanned downtime and extend asset lifecycles.

Simultaneously, autonomous mobility is transitioning from pilot demonstrations to commercial deployments, spurred by breakthroughs in sensor miniaturization and safety-certified AI stacks. Collaboration among OEMs, tier-one suppliers, and tech specialists is forging integrated solutions that balance functional safety, user experience, and regulatory compliance. In parallel, digital twin ecosystems are emerging to simulate large-scale transportation networks, allowing planners to stress-test scenarios from congestion modeling to emergency response drills. These converging trends underscore a paradigm shift toward an intelligent, connected, and resilient mobility infrastructure.

Assessing the 2025 US Tariff Impacts on the AI Mobility Ecosystem

The introduction of new tariffs on key automotive and semiconductor imports in 2025 has reshaped supply chains and cost structures within the AI transportation value chain. fabricantes of sensors and processors are experiencing margin compression, prompting many to reassess sourcing strategies and accelerate localization of critical components. These measures have also driven strategic realignments, as vendors negotiate long-term agreements to secure preferential terms and hedge against future duty escalations.

As tariffs reverberate through the partner ecosystem, vertical integration has gained renewed appeal for both OEMs and tier-one suppliers. Companies are investing in in-house chip design, forging alliances with foundries, and deepening collaboration with software developers to mitigate exposure to rising import costs. Concurrently, some stakeholders are exploring near-shore production hubs to minimize logistical complexity and optimize lead times. These shifts highlight the need for agile procurement frameworks and proactive tariff mitigation tactics to preserve competitiveness and margin resilience in a fluid trade environment.

Integrating Segmentation Insights Reveal Critical Market Dynamics

By application area, the AI transportation market encompasses a spectrum of use cases that span high-autonomy platforms and precision driver-assistance features. Autonomous vehicles operating at the highest levels of automation are complemented by advanced adaptive cruise control, automated emergency braking, and lane-keeping systems that enhance safety in near-term deployments. Fleet management solutions integrate asset tracking and route optimization with driver monitoring capabilities to boost operational efficiency, while predictive maintenance draws on condition monitoring and fault diagnosis analytics to preempt failures. Traffic management leverages congestion prediction, intersection management, and intelligent signal control to orchestrate smoother flows and reduce urban bottlenecks.

From a technology standpoint, computer vision anchors many applications through object detection and video analytics, enriched by sophisticated image recognition. Deep learning architectures such as convolutional neural networks power perception modules, and generative adversarial networks facilitate scenario simulation and data augmentation. Reinforcement learning and supervised models refine decision frameworks, while natural language processing underpins interactive interfaces, including chatbots and voice assistants for in-vehicle and control-center communications.

Component segmentation reveals a balanced ecosystem of hardware, services, and software. Connectivity modules, processors, and sensors form the physical backbone, supported by consulting, integration, and support services that streamline deployments. On the software side, algorithms, middleware, and platforms deliver the intellectual property and orchestration layers vital for end-to-end solutions. Mode of operation spans air, maritime, rail, and road, reflecting the universal applicability of AI across transport channels. Deployment models vary from cloud-native and hybrid architectures to on-premises installations, with private and public cloud options addressing security, latency, and scalability considerations. Finally, end users range from logistics and ride-hailing companies to city authorities, vehicle manufacturers, and individual travelers, each demanding tailored capabilities and service levels.

Regional Momentum in AI-Driven Transportation Revealed

The Americas remain a potent innovation hub, driven by bold investments in autonomous mobility trials and supportive regulatory frameworks that encourage public-private collaborations. Silicon Valley-based startups and established OEMs alike harness regional R&D centers to pilot next-generation AI stacks, while cross-border partnerships with Canadian and Mexican firms ensure supply chain diversity.

In Europe, Middle East, and Africa, policy alignment around data sharing and smart infrastructure is accelerating city-scale deployments of connected traffic management and electrified transport corridors. German automotive giants and Nordic technology leaders are forging joint ventures to standardize functional safety and cybersecurity protocols, while Middle Eastern nations pilot AI-driven logistics solutions at ports and airports.

Asia-Pacific is characterized by a dual thrust: mass adoption of AI-enabled ride-hailing and last-mile delivery services in densely populated urban centers, and government-led smart city initiatives that integrate multimodal traffic orchestration. Chinese and Japanese conglomerates are pioneering in-vehicle AI assistants and large-scale predictive maintenance schemes, supported by robust semiconductor manufacturing ecosystems in South Korea and Taiwan.

Profiling the Strategic Playbooks of Leading Market Participants

Leading automotive OEMs are forging strategic partnerships with semiconductor innovators to embed bespoke AI accelerators within next-generation vehicles. Technology titans are leveraging their cloud ecosystems to offer mobility-as-a-service platforms, positioning themselves as both infrastructure providers and integrated solution architects. Tier-one suppliers are consolidating their portfolios through targeted acquisitions, securing niche software capabilities that complement their sensor and actuator offerings.

Meanwhile, pure-play startups continue to disrupt legacy hierarchies by introducing specialized perception stacks and real-time decision engines tuned for complex environments. These agile entrants often forge alliances with logistics operators to co-develop proof-of-concept deployments that validate AI-driven efficiency gains. Cross-industry consortia are also emerging, uniting automotive, telecom, and infrastructure players around open architectures and interoperability standards to accelerate market adoption.

Strategic Recommendations to Navigate AI Transportation Challenges

Industry leaders should prioritize creating modular AI architectures that accommodate rapid algorithmic upgrades and hardware innovations. Embracing open interfaces and APIs will facilitate seamless integration across partner networks, fostering an ecosystem that can adapt to both regulatory shifts and emerging use cases. At the same time, investing in localized manufacturing capabilities and flexible sourcing arrangements will mitigate exposure to geopolitical and tariff-related risks.

Organizations must also cultivate multidisciplinary talent pools that blend AI expertise with domain knowledge in automotive engineering, telecom infrastructure, and urban planning. Establishing joint research centers with academic and public sector institutions can accelerate innovation while ensuring compliance with evolving safety and data governance regulations. Furthermore, trailblazers should develop transparent frameworks for ethical AI deployment, communicating performance benchmarks and safety validations to build stakeholder trust.

Finally, scenario-driven experimentation-such as digital twin simulations and controlled pilot corridors-will enable decision-makers to assess the performance, scalability, and societal impact of AI-enabled solutions before large-scale rollouts, reducing implementation risks and optimizing resource allocation.

Ensuring Rigor Through a Multi-Layered Research Approach

This research synthesizes primary insights gathered through in-depth interviews with senior executives, technical leads, and policy advisors across the transportation ecosystem. These qualitative inputs were corroborated with secondary data drawn from industry whitepapers, regulatory filings, and technology provider disclosures. A rigorous framework of data triangulation was applied to validate technology adoption patterns, partnership announcements, and investment flows.

Quantitative analyses focused on segment-level adoption metrics and supply chain configurations, employing comparative benchmarking against historical milestones. The methodology also incorporated scenario analysis to explore the interplay of trade policy changes, regulatory developments, and technology breakthroughs. All findings underwent internal peer review and validation sessions with subject matter experts to ensure robustness, reproducibility, and impartiality.

Concluding the Journey Toward AI-Enabled Mobility

The convergence of artificial intelligence and transportation is rewriting conventional paradigms, creating opportunities for efficiency gains, new business models, and enhanced safety. As market players navigate a complex web of technological, regulatory, and geopolitical forces, success will accrue to those who marry strategic agility with deep technical expertise. Segmentation insights underscore the importance of a holistic approach that spans applications, technologies, and user segments, while regional analysis highlights distinct pathways to scale and collaboration.

Ultimately, the organizations that lead this transformation will be those that foster open innovation ecosystems, engage proactively with policymakers, and maintain resilient supply chains. By integrating the research insights presented herein into their strategic planning, executives can chart a clear course toward an AI-enabled transportation future that delivers sustainable value for all stakeholders.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Application Area
    • Autonomous Vehicles
      • Level 4
      • Level 5
    • Driver Assistance Systems
      • Adaptive Cruise Control
      • Automated Emergency Braking
      • Blind Spot Detection
      • Lane Keep Assist
    • Fleet Management
      • Asset Tracking
      • Driver Monitoring
      • Route Optimization
    • Predictive Maintenance
      • Condition Monitoring
      • Fault Diagnosis
    • Traffic Management
      • Congestion Prediction
      • Intersection Management
      • Traffic Signal Control
  • Technology
    • Computer Vision
      • Image Recognition
      • Object Detection
      • Video Analytics
    • Deep Learning
      • Convolutional Neural Networks
      • Generative Adversarial Networks
      • Recurrent Neural Networks
    • Machine Learning
      • Reinforcement Learning
      • Supervised Learning
      • Unsupervised Learning
    • Natural Language Processing
      • Chatbots
      • Speech Recognition
      • Voice Assistants
  • Component
    • Hardware
      • Connectivity Modules
      • Processors
      • Sensors
    • Services
      • Consulting
      • Integration
      • Support
    • Software
      • Algorithms
      • Middleware
      • Platforms
  • Mode
    • Air
    • Maritime
    • Rail
    • Road
  • Deployment
    • Cloud
      • Private Cloud
      • Public Cloud
    • Hybrid
    • On Premises
  • End User
    • Fleet Operators
      • Logistics Companies
      • Ride Hailing Companies
    • Infrastructure Operators
      • City Authorities
      • Road Operators
    • Oems
      • Commercial Vehicle Oems
      • Passenger Vehicle Oems
    • Passengers
      • Individual Users
      • Tourists
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
  • NVIDIA Corporation
  • Tesla, Inc.
  • Waymo LLC
  • Mobileye N.V.
  • Baidu, Inc.
  • Aptiv PLC
  • Robert Bosch GmbH
  • Valeo S.A.
  • Aurora Innovation, Inc.
  • Uber Technologies, Inc.

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. Artificial Intelligence in Transportation Market, by Application Area
8.1. Introduction
8.2. Autonomous Vehicles
8.2.1. Level 4
8.2.2. Level 5
8.3. Driver Assistance Systems
8.3.1. Adaptive Cruise Control
8.3.2. Automated Emergency Braking
8.3.3. Blind Spot Detection
8.3.4. Lane Keep Assist
8.4. Fleet Management
8.4.1. Asset Tracking
8.4.2. Driver Monitoring
8.4.3. Route Optimization
8.5. Predictive Maintenance
8.5.1. Condition Monitoring
8.5.2. Fault Diagnosis
8.6. Traffic Management
8.6.1. Congestion Prediction
8.6.2. Intersection Management
8.6.3. Traffic Signal Control
9. Artificial Intelligence in Transportation Market, by Technology
9.1. Introduction
9.2. Computer Vision
9.2.1. Image Recognition
9.2.2. Object Detection
9.2.3. Video Analytics
9.3. Deep Learning
9.3.1. Convolutional Neural Networks
9.3.2. Generative Adversarial Networks
9.3.3. Recurrent Neural Networks
9.4. Machine Learning
9.4.1. Reinforcement Learning
9.4.2. Supervised Learning
9.4.3. Unsupervised Learning
9.5. Natural Language Processing
9.5.1. Chatbots
9.5.2. Speech Recognition
9.5.3. Voice Assistants
10. Artificial Intelligence in Transportation Market, by Component
10.1. Introduction
10.2. Hardware
10.2.1. Connectivity Modules
10.2.2. Processors
10.2.3. Sensors
10.3. Services
10.3.1. Consulting
10.3.2. Integration
10.3.3. Support
10.4. Software
10.4.1. Algorithms
10.4.2. Middleware
10.4.3. Platforms
11. Artificial Intelligence in Transportation Market, by Mode
11.1. Introduction
11.2. Air
11.3. Maritime
11.4. Rail
11.5. Road
12. Artificial Intelligence in Transportation Market, by Deployment
12.1. Introduction
12.2. Cloud
12.2.1. Private Cloud
12.2.2. Public Cloud
12.3. Hybrid
12.4. On Premises
13. Artificial Intelligence in Transportation Market, by End User
13.1. Introduction
13.2. Fleet Operators
13.2.1. Logistics Companies
13.2.2. Ride Hailing Companies
13.3. Infrastructure Operators
13.3.1. City Authorities
13.3.2. Road Operators
13.4. Oems
13.4.1. Commercial Vehicle Oems
13.4.2. Passenger Vehicle Oems
13.5. Passengers
13.5.1. Individual Users
13.5.2. Tourists
14. Americas Artificial Intelligence in Transportation Market
14.1. Introduction
14.2. United States
14.3. Canada
14.4. Mexico
14.5. Brazil
14.6. Argentina
15. Europe, Middle East & Africa Artificial Intelligence in Transportation Market
15.1. Introduction
15.2. United Kingdom
15.3. Germany
15.4. France
15.5. Russia
15.6. Italy
15.7. Spain
15.8. United Arab Emirates
15.9. Saudi Arabia
15.10. South Africa
15.11. Denmark
15.12. Netherlands
15.13. Qatar
15.14. Finland
15.15. Sweden
15.16. Nigeria
15.17. Egypt
15.18. Turkey
15.19. Israel
15.20. Norway
15.21. Poland
15.22. Switzerland
16. Asia-Pacific Artificial Intelligence in Transportation Market
16.1. Introduction
16.2. China
16.3. India
16.4. Japan
16.5. Australia
16.6. South Korea
16.7. Indonesia
16.8. Thailand
16.9. Philippines
16.10. Malaysia
16.11. Singapore
16.12. Vietnam
16.13. Taiwan
17. Competitive Landscape
17.1. Market Share Analysis, 2024
17.2. FPNV Positioning Matrix, 2024
17.3. Competitive Analysis
17.3.1. NVIDIA Corporation
17.3.2. Tesla, Inc.
17.3.3. Waymo LLC
17.3.4. Mobileye N.V.
17.3.5. Baidu, Inc.
17.3.6. Aptiv PLC
17.3.7. Robert Bosch GmbH
17.3.8. Valeo S.A.
17.3.9. Aurora Innovation, Inc.
17.3.10. Uber Technologies, Inc.
18. ResearchAI
19. ResearchStatistics
20. ResearchContacts
21. ResearchArticles
22. Appendix
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET MULTI-CURRENCY
FIGURE 2. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET MULTI-LANGUAGE
FIGURE 3. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2024 VS 2030 (%)
FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2024 VS 2030 (%)
FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2024 VS 2030 (%)
FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2024 VS 2030 (%)
FIGURE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 20. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 22. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 25. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 26. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 27. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 28. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY LEVEL 4, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY LEVEL 5, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ADAPTIVE CRUISE CONTROL, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTOMATED EMERGENCY BRAKING, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY BLIND SPOT DETECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY LANE KEEP ASSIST, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ASSET TRACKING, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER MONITORING, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONDITION MONITORING, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FAULT DIAGNOSIS, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONGESTION PREDICTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INTERSECTION MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC SIGNAL CONTROL, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY REGION, 2018-2030 (USD MILLION)
TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY REGION, 2018-2030 (USD MILLION)
TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY REGION, 2018-2030 (USD MILLION)
TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2030 (USD MILLION)
TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY VOICE ASSISTANTS, BY REGION, 2018-2030 (USD MILLION)
TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONNECTIVITY MODULES, BY REGION, 2018-2030 (USD MILLION)
TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PROCESSORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SUPPORT, BY REGION, 2018-2030 (USD MILLION)
TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MIDDLEWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AIR, BY REGION, 2018-2030 (USD MILLION)
TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MARITIME, BY REGION, 2018-2030 (USD MILLION)
TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY RAIL, BY REGION, 2018-2030 (USD MILLION)
TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ROAD, BY REGION, 2018-2030 (USD MILLION)
TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ON PREMISES, BY REGION, 2018-2030 (USD MILLION)
TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY LOGISTICS COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY RIDE HAILING COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CITY AUTHORITIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ROAD OPERATORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMMERCIAL VEHICLE OEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGER VEHICLE OEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INDIVIDUAL USERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TOURISTS, BY REGION, 2018-2030 (USD MILLION)
TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 97. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 98. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 99. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 100. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 101. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 102. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 103. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 104. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 105. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 106. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 107. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 108. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 109. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 110. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 111. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 112. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 113. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 114. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 115. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 116. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 117. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 118. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 119. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 120. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 121. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 122. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 123. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 124. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 125. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 126. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 127. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 128. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 129. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 130. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 131. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 132. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 133. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 134. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 135. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 136. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 137. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 138. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 139. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 140. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 141. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 142. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 143. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 144. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 145. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 146. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 147. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 148. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 149. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 150. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 151. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 152. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 153. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 154. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 155. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 156. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 157. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 158. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 159. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 160. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 161. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 162. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 163. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 164. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 165. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 166. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 167. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 168. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 169. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 170. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 171. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 172. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 173. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 174. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 175. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 176. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 177. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 178. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 179. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 180. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 181. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 182. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 183. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 184. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 185. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 186. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 187. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 188. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 189. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 190. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 191. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 192. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 193. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 194. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 195. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 196. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 197. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 198. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 199. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 200. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 201. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 202. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 203. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 204. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 205. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 206. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 207. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 208. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 209. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 210. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 211. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 212. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 213. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 214. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 215. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 216. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 217. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 218. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 219. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 220. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 221. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 222. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 223. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 224. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 225. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 226. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 227. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 228. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 229. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 230. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 231. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 232. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 233. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 234. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 235. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 236. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 237. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 238. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 239. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 240. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 241. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 242. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 243. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 244. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 245. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 246. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 247. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 248. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 249. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 250. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 251. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 252. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MODE, 2018-2030 (USD MILLION)
TABLE 253. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 254. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 255. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 256. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET OPERATORS, 2018-2030 (USD MILLION)
TABLE 257. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY INFRASTRUCTURE OPERATORS, 2018-2030 (USD MILLION)
TABLE 258. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY OEMS, 2018-2030 (USD MILLION)
TABLE 259. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PASSENGERS, 2018-2030 (USD MILLION)
TABLE 260. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 261. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
TABLE 262. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTONOMOUS VEHICLES, 2018-2030 (USD MILLION)
TABLE 263. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DRIVER ASSISTANCE SYSTEMS, 2018-2030 (USD MILLION)
TABLE 264. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY FLEET MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 265. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
TABLE 266. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC MANAGEMENT, 2018-2030 (USD MILLION)
TABLE 267. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 268. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 269. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 270. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 271. UNITED KINGDOM ARTIFICIAL INTELL

Samples

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Companies Mentioned

The companies profiled in this Artificial Intelligence in Transportation market report include:
  • NVIDIA Corporation
  • Tesla, Inc.
  • Waymo LLC
  • Mobileye N.V.
  • Baidu, Inc.
  • Aptiv PLC
  • Robert Bosch GmbH
  • Valeo S.A.
  • Aurora Innovation, Inc.
  • Uber Technologies, Inc.

Table Information

Report AttributeDetails
No. of Pages199
PublishedMay 2025
Forecast Period2025 - 2030
Estimated Market Value ( USD ) in 2025 $ 2.88 Billion
Forecasted Market Value ( USD ) by 2030 $ 5.52 Billion
Compound Annual Growth Rate13.9%
Regions CoveredGlobal
No. of Companies Mentioned11

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