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Impact of AI and Big Data on the Automotive Sector

Impact of AI and Big Data on the Automotive Sector

RELEASE DATE
22-Dec-2017
REGION
Global
Deliverable Type
Technology Alert
Research Code: D835-00-27-00-00
SKU: CI00360-GL-TA_21329
$750.00
In stock
SKU
CI00360-GL-TA_21329
$750.00
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Description

With the emergence of connected things in every industry, a variety of data is being generated from different data sources. Unlike traditional data management systems that could only handle structured data, Big Data is capable of handling various data types coming from different data sources. Advancement in artificial intelligence (AI) in recent years is enabling developers to uncover the hidden relationships between data which would significantly facilitate data analytics processes using minimal data input. Thus, a convergence of AI and Big Data is playing a vital role in shaping up of a sustainable future for all data intensive industries including automotive. With increasing amounts of data being captured and processed and better learning capabilities, AI and Big Data convergence technology in cars is anticipated to grow exponentially, which will eventually lead to real-world autonomous driving or autonomous cars. This edition of the Future Tech TOE is primarily focused toward the impact of AI and Big Data on the automotive sector and some of its related industries. It also profiles key participants in the AI-on-Chip technology space, and presents some of the key patents from major developers in the technology space.

The Future Tech TechVision Opportunity Engine (TOE) captures emerging innovations in research and development, or profile existing technologies which have seen a resurgence in terms of new markets and applications. It usually provides a technology overview, drivers, challenges, research and development, analyst insights and key patent information. In some cases, technology convergence scenarios and future growth opportunities are outlined. It covers innovations and technologies in a variety of industry spaces including manufacturing, sensors, electronics, information and communications technologies, networks, lighting technologies, healthcare, medical devices, materials and coatings, and developments in the energy sector that contribute toward a sustainable and greener world.

TechVision Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as big data, cloud computing, communication services, mobile & wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.

Keywords: Autonomous vehicles, self-driving cars, artificial intelligence, Big Data, AI-on-chip, connected cars

Table of Contents

Impact of AI and Big Data in the Automotive Sector– Technology Background, Impact on the Automotive Space

  • Introduction to Big Data and Artificial Intelligence
  • Benefits from the Convergence of Big Data and Artificial Intelligence
  • How Will Advanced Intelligence Impact the Automotive Industry?
  • Disruption in the Automotive Industry with the Development of AI and Big Data
  • Disruption in the Automotive Industry with the Development of AI and Big Data (Continued)
  • What Does the Convergence of Technologies Mean to the Automotive Ecosystem ?
  • Next-Generation Applications in Automotive
  • Impact of AI and Big Data on the Tire Industry
  • What is Powering the Massive AI Data in Cars? – AI-on-Chip Trends

Key Patents

  • Recent US Patents Related to Next-Generation Automotive
  • Recent EU Patents Related to Next-Generation Automotive
  • Recent WIPO Patents Related to Next-Generation Automotive

Key Contacts

  • List of Contacts
  • List of Contacts (continued)
With the emergence of connected things in every industry, a variety of data is being generated from different data sources. Unlike traditional data management systems that could only handle structured data, Big Data is capable of handling various data types coming from different data sources. Advancement in artificial intelligence (AI) in recent years is enabling developers to uncover the hidden relationships between data which would significantly facilitate data analytics processes using minimal data input. Thus, a convergence of AI and Big Data is playing a vital role in shaping up of a sustainable future for all data intensive industries including automotive. With increasing amounts of data being captured and processed and better learning capabilities, AI and Big Data convergence technology in cars is anticipated to grow exponentially, which will eventually lead to real-world autonomous driving or autonomous cars. This edition of the Future Tech TOE is primarily focused toward the impact of AI and Big Data on the automotive sector and some of its related industries. It also profiles key participants in the AI-on-Chip technology space, and presents some of the key patents from major developers in the technology space. The Future Tech TechVision Opportunity Engine (TOE) captures emerging innovations in research and development, or profile existing technologies which have seen a resurgence in terms of new markets and applications. It usually provides a technology overview, drivers, challenges, research and development, analyst insights and key patent information. In some cases, technology convergence scenarios and future growth opportunities are outlined. It covers innovations and technologies in a variety of industry spaces including manufacturing, sensors, electronics, information and communications technologies, networks, lighting technologies, healthcare, medical devices, materials and coatings, and developments in the energy sector that contribute toward a sus
More Information
Deliverable Types Technology Alert
No Index No
Podcast No
Industries Cross Industries
WIP Number D835-00-27-00-00
Is Prebook No