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自動車産業向けインダストリアルIoT (IIoT) の成長考察

Automotive Industrial Internet of Things (IIoT) Growth Insights

発行 Frost & Sullivan 商品コード 731218
出版日 ページ情報 英文 41 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=114.94円で換算しております。
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自動車産業向けインダストリアルIoT (IIoT) の成長考察 Automotive Industrial Internet of Things (IIoT) Growth Insights
出版日: 2018年10月10日 ページ情報: 英文 41 Pages
概要

リアルタイムアナリティクスおよびダイナミックサプライチェーントラッキングへの投資により、OEMのスマートファクトリー普及率は2025年までに35%へと上昇する見込みです。

当レポートでは、自動車産業向けインダストリアルIoT (IIoT) 市場について調査し、自動車産業で採用されているIIoTの利用例、自動車IIoTの柱、自動車製造の各プロセスとIIoT利用例の適合ヵ所、IIoTコンセプトを実施している主要OEM、主要な自動車IIoTベンダー、および自動車IIoTの現在・将来における関心領域などについて分析しています。

エグゼクティブサマリー

調査範囲・目的・対象・手法

自動車製造業におけるIIoT

  • 市場定義:インダストリアルIoT (IIoT)
  • 自動車IIoT:スマートファクトリーのイネーブラー
  • 自動車スマートファクトリーの現在の概況
  • 自動車製造業におけるIIoT:概要
  • 自動車産業向けIIoT:設計 & 製造
  • 自動車産業向けIIoT:組み立て
  • 自動車産業向けIIoT:品質検査
  • 自動車産業向けIIoT:物流・在庫管理
  • 工場エネルギー管理に関するOEMの戦略
  • ケーススタディ:工場のダウンタイムを削減するGMのIIoTイニシアチブ
  • 製造設備のデジタル化に向けたBMWのアプローチ
  • 主な自動車産業向けIIoTベンダー
  • 主な自動車産業向けIIoTベンダー:IIoTソリューションの比較分析

成長機会・CTA (行動喚起)

結論

付録

Frost & Sullivan について

目次
Product Code: 9AB2/C5

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

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?

Table of Contents

1. AUTOMOTIVE INDUSTRIAL INTERNET OF THINGS (IIOT) GROWTH INSIGHTS

Executive Summary

  • Executive Summary-Key Findings
  • IIoT in Automotive Manufacturing-Key Impacted Processes
  • Key Ecosystem Partnerships-Automotive IIoT
  • Automotive IIoT-Current vs. Future Outlook

Research Scope, Objectives, Methodology, and Background

  • Research Scope
  • Key Questions this Study will Answer

IIoT in Automotive Manufacturing

  • 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

Growth Opportunities and Companies to Action

  • Automotive IIoT Growth Opportunities
  • Strategic Imperatives for Success and Growth-Automotive IIoT

The Last Word

  • The Last Word-3 Big Predictions
  • Legal Disclaimer

Appendix

  • List of Exhibits

The Frost & Sullivan Story

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
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