Apr. 7, 2017

NTT DATA is leading for data utilization in the Connected Vehicles society with our advanced technologies.
NTT DATA introduces the five criteria necessary for connected vehicles and our approach to achieve the full potential of connected vehicles society.

1. Marketability & Arrival of the Connected Vehicle Society

Research and development by automotive and related industries for connected/autonomous vehicles is rapidly expanding. By integrating various on-board sensors and communication technologies, vehicle transmission of data is increasing and this will dramatically boost safety, comfort and convenience.


Some connected vehicles are already available commercially, and the market for connected vehicles is anticipated to expand in the near future. Globally, the volume of connected vehicles shipments is expected to reach approximately 50 million units in 2020. The cumulative connected vehicles units in operation is expected to grow to approximately 700 million units by 2030.

The total number of registered vehicles is expected to 1.7 - 2 billion units in 2030 resulting in 35-45%. Roughly 1 out of 3, of the units in operation will be expected to be connected vehicles.

2. The Synergistic Potential of Automotive, Human and Social Data


When automobiles transmit data via communication technology, the extent and ways which data from the automobiles can be utilized will change significantly. This is not only limited to transportation facilities and local communities being able to provide transportation and road information, this data also has the potential to offer a variety of services including sophisticated recommendations based on the individual driver’s characteristics and preferences.

The potential to create new services will increase when automotive, human and social data are synergistically combined and distributed to transportation and social systems.

3. The Five Criteria Necessary for the Connected Vehicle Society

In order to utilize automotive, human and social data efficiently, it is necessary to solve the following four data technology criteria (volume, velocity, variety & security) and one business/service criteria (data value design).


  1. (1)Data Volume

    An accelerating volume of data, i.e. video data from in-vehicle cameras, are being sent to the cloud, it is crucial to find an efficient means to collect and accumulate the data. The expected data volume growth of connected vehicles;

  1. (2)Data Velocity

    Large volumes of data will be sent to the cloud and used in various ways. This data will need to be current, and high speed data processing is necessary.

  2. (3)Data Variety

    The collection and distribution of differently formatted or types of data like videos, images and control data are required.

  3. (4)Data Security

    Ensuring the security of vehicle data and restricting the range of use based on data ownership are required.


  1. (5)Data Value Design

    For vehicle data to be utilized in creating business and services, it will be important to efficiently extract information from the huge volume of data and create value by utilizing them.


4. NTT DATA’s approach

Key to fulfilling the five criteria and achieve the full potential of connected vehicle society, an advanced IT architecture and infrastructure, incorporating AI, security, communication technology and advanced processing is critical.

At NTT DATA, we are conducting research and development and testing regarding how information technology will develop and what future trends will emerge. These charts are a representation of our approach focusing on critical “Data Volume” and “Data Analytics”.

Toward Exabyte data

In order to create an infrastructure technology for a huge volume of data collection and accumulation, NTT DATA is developing a high performance, scalable and decentralized processing infrastructure based on our know-how in building numerous large scale social infrastructures and systems.

Specifically, we are focused on the platform of “super decentralized infrastructure” for multiple data centers allowing high scalability and “edge computing”. We are currently co-researching these technologies at the NTT Network Innovation Laboratories where the most advanced research in this field, is conducted.


Toward Data Analytics

In collaboration with NTT Laboratories and NTT DATA Mathematical Systems Inc., an NTT company that has 30+ years of experience building statistical analytics and mathematical models, we are conducting demonstration tests, for example the remote fault detection in automobiles.

Artificial intelligence plays an important role in automated driving. In this area, NTT DATA is conducting research into deep learning. In order to further advance development, going forward NTT DATA will leverage “corevo®* - NTT Group’s AI technology.


5. NTT DATA: Your Innovation Partner

NTT DATA’s goal is to help build a safe and reassured automated driving society in order to support the future of the transportation and automotive industries. NTT Group will continue to strengthen and evolve, leveraging our experience in building advanced and Japanese telecommunication technologies such as platform for a variety of industries - including public, finance and major corporations. The NTT Group contributed to the development of Japan’s communication technology using NTT’s highly competitive technological strengths combined with the latest technologies. NTT DATA will be delivering to you technologies, based on these collective efforts and foundation.

As your innovation partner in the connected vehicle society, we will work on creating new businesses and services, and conduct strategic R&D for key technologies, for our clients.


  • *”corevo®”is registered trademark of NTT.
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For more information, please contact:

NTT DATA Corporation
Next Generation Automotive Technology Division
Innovative Technology Strategy Office
Business Solution Sector
E-mail: Connected_Car@kits.nttdata.co.jp


Authors Profile

Atsushi Koga
Senior Specialist
Next Generation Automotive Technology Division
Innovative Technology Strategy Office
Business Solution Sector

Atsushi Koga started his career as an IT architect working on the architecture and development of mission critical systems for telecommunication carriers. After this, he developed numerous systems utilizing various technologies like SOA/VDI/Openstack for manufacturing and distribution. Currently, Atsushi Koga is the chief technology officer for platforms, communications and artificial intelligence.