About Automotive Intelligent Tires Original equipment manufacturers (OEMs) are trying to fine tune their ADAS offerings considering the tread wear, which refers to a specificity of tires that changes with use. Some innovative ADAS manufacturers have programmed a specific wear rate based on the miles a tire travels. They have calibrated their ADAS responses based on this factor. This has led to the development of intelligent tires, wherein an assortment of embedded sensors in the tire feeds data to the ECU regarding the wear rate, tire pressure, specific road conditions, suspension feedback, and other related information. This information is used to fine-tune the responses of the vehicle ECU, seating and suspension, ADAS, safety features, and others, thus continuously providing an enhanced ride experience. Technavio’s analysts forecast the global automotive intelligent tires market to grow at a CAGR of 291.23% during the period 2017-2021. Covered in this report The report covers the present scenario and the growth prospects of the global automotive intelligent tires market for 2017-2021. To calculate the market size, the report... Research Beam Model: Research Beam Product ID: 1530433 3500 USD New
Global Automotive Intelligent Tires Market 2017-2021
 
 

Global Automotive Intelligent Tires Market 2017-2021

  • Category : Automotive and Transportation
  • Published On : April   2017
  • Pages : 70
  • Publisher : Technavio
 
 
 
About Automotive Intelligent Tires

Original equipment manufacturers (OEMs) are trying to fine tune their ADAS offerings considering the tread wear, which refers to a specificity of tires that changes with use. Some innovative ADAS manufacturers have programmed a specific wear rate based on the miles a tire travels. They have calibrated their ADAS responses based on this factor. This has led to the development of intelligent tires, wherein an assortment of embedded sensors in the tire feeds data to the ECU regarding the wear rate, tire pressure, specific road conditions, suspension feedback, and other related information. This information is used to fine-tune the responses of the vehicle ECU, seating and suspension, ADAS, safety features, and others, thus continuously providing an enhanced ride experience.

Technavio’s analysts forecast the global automotive intelligent tires market to grow at a CAGR of 291.23% during the period 2017-2021.

Covered in this report
The report covers the present scenario and the growth prospects of the global automotive intelligent tires market for 2017-2021. To calculate the market size, the report considers the revenue generated from the sales of automotive intelligent tires.

The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA

Technavio's report, Global Automotive Intelligent Tires Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• Bridgestone
• Continental
• Goodyear
• Michelin
• Pirelli
• Yokohama Rubber

Other prominent vendors
• Sumitomo Rubber Industries
• Hankook



Market driver
• The current state of autonomy in the automotive space
• For a full, detailed list, view our report

Market challenge
• Increased need for rationalizing the pricing of sensors
• For a full, detailed list, view our report

Market trend
• Piezoelectric energy harvesting in intelligent tires
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2021 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.




Table of Contents
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Research Methodology
PART 04: Introduction
PART 05: Market landscape
• Market overview
• An overview of the typical tire manufacturing process
• Supply chain analysis: The global tire industry
• Tires: Distribution Channels
• Life cycle of tires
• Market size and forecast
• Regulatory Framework
• Value Chain Analysis
• Product life cycle
• Five forces analysis
PART 06: Market segmentation by geography
• Market overview
• Automotive intelligent tires market in the Americas
• Automotive intelligent tires market in APAC
• Automotive intelligent tires market in EMEA
PART 07: Market segmentation by vehicle type
• Global automotive intelligent tires market by vehicle type
PART 08: Decision framework
PART 09: Drivers and challenges
• Market drivers
• Market challenges
PART 10: Market trends
• Battery-less sensors to be used in intelligent tires
• Piezoelectric energy harvesting in intelligent tires
• MEMS sensors and computer vision applications enhancing accuracy and precision in the intelligent tires space
• Intelligent tires have a high probability of being used in platooning systems
• Use of IMU sensors in intelligent tires
PART 11: Vendor landscape
• KVA ranking analysis
• Other vendors having intelligent tires in various R&D stages
• Bridgestone
PART 12: Key vendor analysis
• Continental
• Goodyear
• MICHELIN
• Pirelli
• Yokohama Rubber
PART 13: Appendix
• List of abbreviations
List of Exhibits
Exhibit 01: Types of automotive TPS
Exhibit 02: Tire load-speed ratio comparison by application
Exhibit 03: Intelligent tire with sensor on inner tread lining
Exhibit 04: Segmentation criteria for intelligent tires
Exhibit 05: Tire manufacturing: An overview
Exhibit 06: Issues under the purview of tire manufacturers
Exhibit 07: Tires: Distribution channels
Exhibit 08: Global automotive intelligent tires market 2016-2021 (millions of units)
Exhibit 09: Tire sales channel 2016 (%)
Exhibit 10: Take rates for intelligent tires in the overall automotive tires market
Exhibit 11: Regulations encouraging TPMS adoption worldwide
Exhibit 12: Value chain representation of global intelligent tires and TMS market
Exhibit 13: Product life cycle positioning of intelligent tires vis-à-vis TPMS
Exhibit 14: Five forces analysis for the intelligent tires market
Exhibit 15: Global automotive intelligent tires market by geography 2016-2021 (%)
Exhibit 16: Automotive intelligent tires market in the Americas 2016-2021 (millions of units)
Exhibit 17: Automotive intelligent tires market in APAC (millions of units)
Exhibit 18: Automotive intelligent tires market in EMEA (millions of units)
Exhibit 19: Global automotive intelligent tires market by vehicle type (%)
Exhibit 20: Global automotive intelligent tires market for commercial vehicles 2016-2021 (millions of units)
Exhibit 21: Global automotive intelligent tires market for passenger cars 2016-2021 (millions of units)
Exhibit 22: Timeline for various automated driving systems and sensors market
Exhibit 23: Global causes of motor vehicle fatalities 2015
Exhibit 24: List of automotive NCAP standards worldwide
Exhibit 25: Car platooning arrangement: Conceptual view
Exhibit 26: Truck platooning arrangement: Conceptual view
Exhibit 27: Schematic diagram of an IMU
Exhibit 28: Application areas of IMU fusion sensors and other similar sensors
Exhibit 29: KVA ranking analysis for the global automotive intelligent tires market, 2016
Exhibit 30: Other prominent potential vendors of intelligent tires
Exhibit 31: Bridgestone: Manufacturing plants
Exhibit 32: Product category
Exhibit 33: MICHELIN Production sites
Exhibit 34: Pirelli: Business segmentation
Exhibit 35: Pirelli's manufacturing facilities
Exhibit 36: Pirelli: Tire category
Exhibit 37: Pirelli Cyber Tyre technology
Exhibit 38: Yokohama Rubber's Intelligent TPMS

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