Report Description

United Kingdom AI in transportation market is anticipated to register growth with an impressive CAGR in the forecast period, 2023-2027. The market growth can be attributed to increasing demand for the traffic regulations. Surge in the adoptions of the artificial intelligence and internet of things in the automotives and related services further drives the growth of the United Kingdom AI in transportation market in the upcoming five years. Increasing advancement in the technology incorporated in the automotives, surging investment in the development of these technologies further supports the growth of the United Kingdom AI in transportation market in the next five years.

Artificial intelligence has penetrated almost all sorts of technological product and increasing dependency over the technical prospects enhances the product value as well as making consumers’ issues sorted. The use of AI and IoT (Internet of Things) in automotives have revolutionized the automotive industry. AI has the potential to make traffic more efficient, ease traffic congestion, free driver's time, make parking easier, and encourage car- and ridesharing.

Advancements of Self-Driving Vehicles Promises Market

Emergence of the advanced technology in the automotives fuel the growth of the United Kingdom AI in transportation market in the upcoming five years. The digital technology plays a pivotal role in influencing consumers’ potential buyers of premium and executive vehicles. The added services of vehicle safety, traffic management, on-road vehicle modulation further substantiates the growth of the United Kingdom AI in transportation market in the next five years. Furthermore, rapid growth in vehicle data generation, unrestricted access to computing resources, and a substantial reduction in the cost of data storage gives potential to the already expanding market in the future years.

Road Accidents & High Traffic Problems Fuel Demands For Technology Adaption

Increasing instances of human mistakes while parking or other vehicular functions leads to increased cases of on road accidents. Also, with high population and growing sales of the passenger cars, personal vehicle, rising disposable income of the market adds to the growing traffic congestion on road. In the year 2021, more than 1.6 million units of automotives were sold in the United Kingdom.

Since the adaptation for advanced traffic management systems are a must in recent times, future holds great opportunities for the market players providing the services for AI in transportation thereby aiding the growth of the United Kingdom AI in transportation market in the future five years. The data thus collected during the traffic management also needs to be managed then further adding to the growth of the market.


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Market Segmentation

The United Kingdom AI in transportation market is segmented by machine learning technology, process, application, offering, competitional landscape, and regional distribution. Based on machine learning technology, the market is further segmented into computer vision, context awareness, deep learning, and natural language processing. By process, the market is fragmented into data mining, image recognition, and signal recognition. Based on application, the market is bifurcated into autonomous trucks, HMI in trucks, and semi-autonomous trucks. By offering, the market is differentiated between hardware and software. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among London, East Anglia, Southwest, Southeast, Scotland, East Midlands, and Yorkshire & Humberside.

Company Profile

Daimler AG, Robert Bosch GmbH, Intel Corporation, Continental AG, The Volvo Group, ZF Friedrichshafen AG, Magna International Inc., Valeo, Nvidia Corporation, Scania AB, among others is a partial list of major market players of the companies responsible for the growth of United Kingdom AI in transportation market.

Attribute

Details

Base Year

2021

Historical Data

2017 – 2020

Estimated Year

2022

Forecast Period

2023 – 2027

Quantitative Units

Revenue in USD Million, volume in units, and CAGR for 2017-2021 and 2022-2027

Report coverage

Revenue forecast, volume forecast, company share, competitive landscape, growth factors, and trends

Segments covered

·         Machine Learning Technology

·         Process

·         Application

·         Offering

Regional scope

London, East Anglia, Southwest, Southeast, Scotland, East Midlands, and Yorkshire & Humberside

Key companies profiled

Daimler AG, Robert Bosch GmbH, Intel Corporation, Continental AG, The Volvo Group, ZF Friedrichshafen AG, Magna International Inc., Valeo, Nvidia Corporation, Scania AB

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 

Report Scope:

In this report, United Kingdom AI in transportation market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • United Kingdom AI in Transportation Market, By Machine Learning Technology:
    • Computer Vision
    • Context Awareness
    • Deep Learning
    • Natural Language Processing
  • United Kingdom AI in Transportation Market, By Process:
    • Data Mining
    • Image Recognition
    • Signal Recognition
  • United Kingdom AI in Transportation Market, By Application:
    • Autonomous Trucks
    • HMI in Trucks
    • Semi-Autonomous Trucks
  • United Kingdom AI in Transportation Market, By Offering:
    • Hardware
    • Software
  • United Kingdom AI in Transportation Market, By Region:

o   London

o   East Anglia

o   Southwest

o   Southeast

o   Scotland

o   East Midlands

o   Yorkshire & Humberside

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in United Kingdom AI in transportation market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

United Kingdom AI in Transportation Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1.     Service Overview

2.    Research Methodology

3.    Impact of COVID-19 on United Kingdom AI in Transportation Market

4.    Executive Summary

5.    Voice of Customers

6.    United Kingdom AI in Transportation Market Outlook

6.1.  Market Size & Forecast

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Machine Learning Technology (Computer Vision, Context Awareness, Deep Learning, Natural Language Processing)

6.2.2.     By Process (Data Mining, Image Recognition, Signal Recognition)

6.2.3.     By Application (Autonomous Trucks, HMI in Trucks, Semi-Autonomous Trucks)

6.2.4.     By Offering (Hardware, Software)

6.2.5.     By Region

6.2.6.     By Company (2021)

6.3.  Market Map

7.    United Kingdom AI in Transportation Computer Vision Market Outlook

7.1.  Market Size & Forecast

7.1.1.     By Value 

7.2.  Market Share & Forecast

7.2.1.     By Process

7.2.2.     By Application

7.2.3.     By Offering

7.2.4.     By Region

8.    United Kingdom AI in Transportation Context Awareness Market Outlook

8.1.  Market Size & Forecast

8.1.1.     By Value 

8.2.  Market Share & Forecast

8.2.1.     By Process

8.2.2.     By Application

8.2.3.     By Offering

8.2.4.     By Region

9.    United Kingdom AI in Transportation Deep Learning Market Outlook

9.1.  Market Size & Forecast

9.1.1.     By Value 

9.2.  Market Share & Forecast

9.2.1.     By Process

9.2.2.     By Application

9.2.3.     By Offering

9.2.4.     By Region

10.  United Kingdom AI in Transportation Natural Language Processing Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value 

10.2.              Market Share & Forecast

10.2.1.  By Process

10.2.2.  By Application

10.2.3.  By Offering

10.2.4.  By Region

11.  Market Dynamics

11.1.              Drivers

11.2.              Challenges

12.  Market Trends & Developments

13.  Policy & Regulatory Landscape

14.  United Kingdom Economic Profile

15.  Company Profiles

15.1.              Daimler AG

15.2.              Robert Bosch GmbH

15.3.              Intel Corporation

15.4.              Continental AG

15.5.              The Volvo Group

15.6.              ZF Friedrichshafen AG

15.7.              Magna International Inc.

15.8.              Valeo

15.9.              Nvidia Corporation

15.10.            Scania AB

16.  Strategic Recommendations

(Note: The companies list can be customized based on the client requirements.)

Figures and Tables

Frequently asked questions

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United Kingdom AI in transportation market is anticipated to grow with an impressive CAGR during the forecast period, 2023-2027, due to surge in the demand for traffic management.

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Based on application, the market is segmented into autonomous trucks, HMI in trucks, semi-autonomous trucks. Autonomous trucks are anticipated to dominate the application based segmentation of the market due to growing development in the trucking industry coupled with growth of logistics industry.

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Being responsible for the due growth of the market, some of the leading players of the United Kingdom AI in transportation market were Daimler AG, Robert Bosch GmbH, Intel Corporation, Continental AG, The Volvo Group, ZF Friedrichshafen AG, Magna International Inc., Valeo, Nvidia Corporation, Scania AB, among others.

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New market players may invest actively in research and innovative product development. Also, advancing their existent technology according to evolving consumer preferences along with merger and acquisitions with the global giants can be viable strategic recommendations for the future brand establishments.

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Sakshi Bajaal

Business Consultant
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