Automotive Industrial Internet of Things (IIoT) Growth Insights

Automotive Automotive Industrial Internet of Things (IIoT) Growth Insights

Investment in Real-time Analytics and Dynamic Supply Chain Tracking Will Increase OEM Smart Factory Penetration to 35% by 2025

INDUSTRY
Automotive

RELEASE DATE
10-Oct-2018
REGION
North America
DELIVERABLE TYPE
Market Research

RESEARCH CODE
9AB2-00-C5-00-00
SKU
AU01717-NA-MR_22425
Yes
SHARE

$1,500.00

Special Price $1,125.00 save 25 %

In stock
SKU
AU01717-NA-MR_22425

Automotive Industrial Internet of Things (IIoT) Growth Insights
Published on: 10-Oct-2018 | SKU: AU01717-NA-MR_22425

Need more details?

$1,500.00

$1,125.00 save 25 %

DownloadLink
Need more details?

Industrial Internet of Things (IIoT) can be leveraged to transform the production aspect and future potential of the automotive manufacturing business. Though evolving technologies play a key role in fostering the automotive business, it is crucial that automotive manufacturers stay connected in order to amalgamate different technologies like machine learning, Big Data, sensor data, machine-to-machine communication, and automation. This will make the best use of IIoT, which would in turn result in gaining a competitive edge and open new revenue streams for the auto makers in the market.

OEMs and suppliers can achieve significant operational cost benefits throughout the automotive value chain by adopting IIoT. Smart factories are anticipated to increase labor productivity, improve process efficiency, enable mass customization, identify value-add services and provide optimization opportunities for automotive manufacturers. Companies such as BMW, Audi and Daimler have significantly invested in digitization initiatives across different manufacturing process, right from design to vehicle production.

OEMs are the primary adopters of Industry 4.0. However, automotive suppliers are trailing behind in adopting smart factories due to lack of leadership commitments, lack of understanding of potential use cases, and limited budget allocation. It is essential for automotive suppliers to catch up on digital initiatives; if not, additional expenses will be incurred at OEM production facilities, which would jeopardize benefits across the ecosystem. Suppliers should identify compelling business cases and demonstrate their value through pilot programs in order to attract funding and bridge the significant investment gap.

Automakers need to adopt a multipronged approach to creating relevant business models that embrace IoT-enabled capabilities. In addition, maintaining and updating complex systems from in-house/remote locations, possible cyber attacks over the connected networks, adhering to standards of local networks for bandwidth and latency, maintaining process integrity and IP protection, and making immediate investments in evolving technologies are possible challenges to IIoT adoption in a manufacturing facility. However, continuous monitoring of transformation needs would help the automaker develop a proactive approach to overcoming these challenges.

Key Issues Addressed

  • What are the IIoT use cases adopted in the automotive industry?
  • What are the core pillars of automotive IIoT?
  • What are the different processes of automotive manufacturing and where do IIoT use cases fit in? Who are the key OEMs that implemented IIoT concepts?
  • Who are the key automotive IIoT vendors? How do they compare in the automotive IIoT market?
  • What is the current and future focus areas for automotive IIoT?

Executive Summary—Key Findings

IIoT in Automotive Manufacturing—Key Impacted Processes

Key Ecosystem Partnerships—Automotive IIoT

Automotive IIoT—Current vs. Future Outlook

Research Scope

Key Questions this Study will Answer

Market Definition—Industrial Internet of Things (IIoT)

Automotive IIoT—Key Enablers for Smart Factory

Current Snapshot of Automotive Smart Factories

IIoT in Automotive Manufacturing—Overview

Automotive IIoT—Design & Production

Automotive IIoT—Assembly

Automotive IIoT—Quality Inspection

Automotive IIoT—Logistics and Inventory Management

OEM Strategies on Plant Energy Management

Case Study—GM IIoT Initiatives to Reduce Factory Downtime

BMW Approach for Digitalization of Production Facilities

Key Automotive IIoT Vendors

Key Automotive IIoT Vendors—IIoT Solution Comparative Analysis

Automotive IIoT Growth Opportunities

Strategic Imperatives for Success and Growth—Automotive IIoT

The Last Word—3 Big Predictions

Legal Disclaimer

List of Exhibits

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy


Have questions about this research or need deeper insights?
Speak directly with our analytics experts for tailored recommendations.

Recent related Automotive research

30 Jul 2026   |   Global   |   Market Research

Strategic Insights into AI Assistants for In-Car Personalization, Global

This study examines how automakers leverage voice AI and conversational AI to create personalized in-car experiences, focusing on OEM strategies, technology integration, and connected services.

It profiles leading premium and mass-market automotive brands, analyzing their AI assistant strateg...

30 Jul 2026   |   Global   |   Market Research

Growth Opportunities in the Passenger Vehicle Door-Module Market, Global, 2025–2032

The global passenger vehicle door module market is undergoing a structural transformation, driven by increasing vehicle complexity, cost pressures, and the shift toward software-defined architectures. Traditionally viewed as mechanical assemblies, door modules are evolving into integrated, technolog...

29 Jul 2026   |   Global   |   Technology Research

Next-Generation Chiplet and Advanced Packaging Architectures: Redefining Performance and Scalability in AI and HPC

This study focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than prov...

28 Jul 2026   |   Europe   |   Market Research

Strategic Insights into the European Last-Mile Food and Grocery Delivery Market, 2025

This study focuses on the European last-mile food and grocery delivery market, covering platform-mediated meal delivery and quick commerce orders, and excluding merchant-owned direct delivery channels.

It analyses key industry drivers and restraints, value chain configurations and operating m...

28 Jul 2026   |   Global   |   Technology Research

Heterogeneous Computing Architectures in Automotive and Robotics Applications

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mix...

 

Purchase includes:
  • Report download
  • Growth Dialog™ with our experts

Growth Dialog™

A tailored session with you where we identify the:
  • Strategic Imperatives
  • Growth Opportunities
  • Best Practices
  • Companies to Action

Impacting your company's future growth potential.

Industrial Internet of Things (IIoT) can be leveraged to transform the production aspect and future potential of the automotive manufacturing business. Though evolving technologies play a key role in fostering the automotive business, it is crucial that automotive manufacturers stay connected in order to amalgamate different technologies like machine learning, Big Data, sensor data, machine-to-machine communication, and automation. This will make the best use of IIoT, which would in turn result in gaining a competitive edge and open new revenue streams for the auto makers in the market. OEMs and suppliers can achieve significant operational cost benefits throughout the automotive value chain by adopting IIoT. Smart factories are anticipated to increase labor productivity, improve process efficiency, enable mass customization, identify value-add services and provide optimization opportunities for automotive manufacturers. Companies such as BMW, Audi and Daimler have significantly invested in digitization initiatives across different manufacturing process, right from design to vehicle production. OEMs are the primary adopters of Industry 4.0. However, automotive suppliers are trailing behind in adopting smart factories due to lack of leadership commitments, lack of understanding of potential use cases, and limited budget allocation. It is essential for automotive suppliers to catch up on digital initiatives; if not, additional expenses will be incurred at OEM production facilities, which would jeopardize benefits across the ecosystem. Suppliers should identify compelling business cases and demonstrate their value through pilot programs in order to attract funding and bridge the significant investment gap. Automakers need to adopt a multipronged approach to creating relevant business models that embrace IoT-enabled capabilities. In addition, maintaining and updating complex systems from in-house/remote locations, possible cyber attacks over the connected networks
More Information
Deliverable Type Market Research
No Index No
Podcast No
Author Dorothy Amy
Industries Automotive
WIP Number 9AB2-00-C5-00-00
Is Prebook No
GPS Codes 9800-A6,9832-A6,9AF7-A6,9B07-C1