Automotive Domain Control Unit (DCU) Industry Report, 2019-2020

Publisher Name :
Date: 29-Apr-2020
No. of pages: 301

Domain control unit shipments will boom in 2021.

When the one-to-one correspondence between the growing number of sensors and electronic control units (ECU) leads to underperforming vehicles and adds circuit complexity, more powerful centralized architectures like domain control unit (DCU) and multi-domain controller (MDC) come as an alternative to the distributed ones.

As concerns the tendency of domain controller, Vector conceives three stages of E/E architecture development: controller-centric, DCU, and central computer. Intelligent vehicle will ultimately be a mobile super computer and data center, and a new Wintel will come into being. In future, computing platform, operating system and application software will matter the most to the highly automated vehicles; multimedia multi-domain controllers and central domain controllers are likely to be combined into one.

In response to the disruption, Volkswagen plans adoption of a unified automotive E/E architecture; BMW will introduce central communication services and service-oriented architecture (SOA) in its next-generation E/E architecture; the smart vehicle architecture (SVA) launched by Aptiv breaks the bottleneck of conventional architectures, providing frame scalability for next-generation intelligent vehicles. The new E/E architectures will be built on the concept of central computer-layer-area, embodying the philosophy of SOA.

As to DCU, next-generation smart cockpit system based on cockpit DCU enables functionality of cockpit electronic system on a unified software and hardware platform. Cockpit electronic system offering intelligent interaction and scenarios as well as personalized services, will be a foundation for human-vehicle interaction and vehicle-to-everything (V2X) communication. Visteon argues that by 2023, intelligent cockpit integrated with LCD dashboard, center console and co-pilot infotainment system will be based entirely on single-ECU domain control platform.

Globally, Visteon, Continental, Bosch and Aptiv dominate the cockpit DCU market; Chinese players like Huawei, Desay SV, Shenzhen Hangsheng Electronics and Neusoft race to unveil their cockpit DCU solutions.

As for cockpit chip, typical products are comprised of Qualcomm 820A, Intel Atom, NXP i.MX8, Renesas R-CAR H3 and TI Jacinto family. Notably, the prevailing Qualcomm 820A processor platform has been ordered by 18 out of the 25 world-renowned OEMs, with the order intake recording $5.5 billion or so.

In the ADAS/AD DCU market, most of those in use for Level 1 driving assistance employ separate ECU to control. ADAS ECU which is developed mainly for Level 2 driving assistance is utilized to combine LDW/LKA and AEB. It is in the era of Level 2+, Level 3 and Level 4 automated driving that the demand for autonomous driving domain control unit (AD DCU) will be soaring.

Tier-1 suppliers worldwide already deploy ADAS/AD DCU such as Visteon DriveCore, Bosch DASy, Continental ADCU, ZF ProAI, Veoneer Zeus and Magna MAX4. In China, such typical products include iECU (co-developed by SAIC and TTTech), Huawei MDC (MobileData Center) intelligent driving DCU, IN-DRIVING TITAN, and Neusoft Reach CPDC-II DCU/CPDC-III central computer.

When it comes to autonomous driving chip, Nvidia is absolutely the leader with Nvidia Drive PX2 and Nvidia Drive Xavier being widely deployed by vendors. In December 2019, Nvidia introduced DRIVE AGX Orin, a software-defined platform for Level 5 automated driving, with nearly 7x the performance of the previous generation SoC Xaiver. The Orin SoC integrates NVIDIA’s next-generation GPU architecture and Arm Hercules CPU cores, as well as new deep learning and computer vision accelerators that, in aggregate, deliver 2,000 TOPS.

Other autonomous driving chips include TI TDA4, Qualcomm® Snapdragon Ride™, NXP S32 family, and Mobileye EyeQ family.

In the next three to five years, among DCU market segments, cockpit DCU will see a faster growth rate and a larger market than autonomous driving DCU because it is easier to spawn cockpit DCUs at lower cost; the surging demand for intelligent cockpits, which is fueled by the availability of 5G in vehicles, will drive up cockpit DCU shipments to explode in 2021 on the basis of OEM’s and Tier1’s progress in mass production.

In the ADAS/AD DCU field, inadequate regulations and immature technologies will expectedly make it hard to apply Level 3/Level 4 automated driving technologies on large scale in the upcoming three to five years. OEMs, tier-1 suppliers and chip vendors are working to mass produce L2+ autonomous vehicles. It is predicted that production of Level 3/Level 4 autonomous vehicles will peak around 2025, but business-oriented vehicles will play the key role, with roughly 5 million units of ADAD/AD DCUs for passenger cars to be shipped worldwide in 2025.

Automotive Domain Control Unit (DCU) Industry Report, 2019-2020

Table of Contents

1 ECU to DCU
1.1 ECU
1.1.1 Definition of ECU
1.1.2 Typical Block Diagram of Automotive Electronics Control Circuit
1.1.3 Automotive ECU Industry Chain
1.1.4 Development of ECU
1.1.5 ECUs Increase and DCU Debuts
1.2 DCU
1.2.1 Definition of DCU
1.2.2 Five Typical DCUs
1.2.3 Why to Use DCUs
1.2.4 Main Functions of DCU
1.2.5 Development Trends of DCU
1.2.6 DCU Ecosystem
1.2.7 Global Passenger Car DCU (Cockpit + Autonomous Driving) Market Size
1.2.8 High Performance SoC Processors Boost DCU Market

2 Automotive Electronic/Electrical Architecture (EEA)
2.1 Development Trends of EEA
2.1.1 Evolution of EEA
2.1.2 Development Trends of EEA
2.1.3 Three Stages of Future EEA Development
2.1.4 Integration Trends of EEA
2.1. Development Trends of New-EEA-based Intelligent Vehicles
2.1.6 Core Technologies for Redefined Intelligent Vehicle (1)
2.1.7 Core Technologies for Redefined Intelligent Vehicle (2)
2.1.8 Core Technologies for Redefined Intelligent Vehicle (3)
2.1.9 Core Technologies for Redefined Intelligent Vehicle (4)
2.1.10 Core Technologies for Redefined Intelligent Vehicle (5)
2.1.11 Core Technologies for Redefined Intelligent Vehicle (6)
2.2 Development Trends of Tier1’s EEA
2.2.1 Bosch EEA Evolution Strategy
2.2.2 Bosch Intelligent Vehicle Multi-domain Architecture
2.2.3 Aptiv Smart Vehicle Architecture (SVA)
2.2.4 Aptiv EEA Evolution Strategy
2.2.5 Continental Distributed EEA
2.2.6 NXP Next-generation EEA
2.3 Development Trends of OEM’s EEA

3 Intelligent Cockpit DCU
3.1 Development Trends of Intelligent Cockpit DCU
3.1.1 3 ECUs in a Convectional Cockpit System can be Integrated into an Intelligent Cockpit DCU
3.1.2 Cockpit Domains before and after 2020
3.1.3 Example of Complex Intelligent Cockpit DCU Design
3.1.4 Visteon’s Prediction of Intelligent Cockpit DCU Market
3.2 Intelligent Cockpits and DCU Solutions
3.2.1 Comparison between Main Foreign Cockpit Platform Solutions
3.2.2 Comparison between Main Cockpit Platform Solutions in China
3.2.3 Solutions and Customers of Typical Cockpit DCU Vendors
3.2.4 Main Automotive Intelligent Cockpit Platforms of OEMs and Their Suppliers Worldwide
3.3 Intelligent Cockpit Processors
3.3.1 Mainstream Intelligent Cockpit Processors in Current Market
3.3.2 Qualcomm Cockpit Processors
3.3.3 Qualcomm Snapdragon Cockpit Processors
3.3.4 Renesas Cockpit Processors
3.3.5 Intel Cockpit Processors
3.3.6 NXP Cockpit Processors
3.3.7 TI Cockpit Processors
3.3.8 Samsung Cockpit Processors
3.3.9 Allwinnertech Technology’s Cockpit Processors
3.3.10 MediaTek Cockpit Processors
3.3.11 Horizon Robotics’ Cockpit Processors

4 ADAS/AD DCUs and Chips
4.1 Development Trends of ADAS/AD DCU
4.1.1 ADAS Distributed ECU and ADAS/AD DCU
4.1.2 Overview of ADAS/AD DCU
4.1.3 Visteon’s Prediction of ADAS/AD DCU Market
4.1.4 Typical Architecture Solutions of ADAS/AD DCU
4.1.5 Development Trends of Autonomous Driving DCU
4.2 ADAS/AD DCU Solutions
4.2.1 Typical ADAS/AD DCUs (13)
4.2.2 List of Foreign Vendors’ Layout of ADAS/AD DCU (1)
4.2.3 List of Foreign Vendors’ Layout of ADAS/AD DCU (2)
4.2.4 List of Foreign Vendors’ Layout of ADAS/AD DCU (3)
4.2.5 List of Chinese Vendors’ Layout of ADAS/AD DCU (1)
4.2.6 List of Chinese Vendors’ Layout of ADAS/AD DCU (2)
4.2.7 Main Automakers’ ADAS/AD DCU Platforms and Suppliers Worldwide
4.3 ADAS/AD DCU Chips
4.3.1 DCU Chip Vendor: NVIDIA
4.3.1.1 NVIDIA Drive Ecosystem
4.3.1.2 NVIDIA Drive Autonomous Driving Chip Portfolios
4.3.1.3 NVIDIA Software-defined Automotive Platform
4.3.1.4 NVIDIA’s Technology Cooperation
4.3.2 DCU Chip Vendor: TI
4.3.2.1 TI Autonomous Driving Chip Architecture
4.3.2.2 TI Launched New Chips for ADAS
4.3.2.3 TI Autonomous Driving Chips
4.3.3 DCU Chip Vendor: Renesas
4.3.3.1 Renesas R-Car
4.3.3.2 Renesas Autonomous Driving Chips
4.3.3.3 Renesas L4 Computing Platform Architecture
4.3.3.4 Renesas Autonomy Platform
4.3.4 DCU Chip Vendor: Qualcomm
4.3.5 NXP DCU Chip Vendor: NXP
4.3.5.1 Application of NXPS32 Family Product Lines
4.3.5.2 NXPS32 Family: Based on ARM Cores
4.3.5.3 NXPS32 Family: Applied in ADAS and Autonomous Driving
4.3.5.4 NXPS32 Family: Chip Technology Roadmap
4.3.5.5 NXP Launched Next-generation S32 Computing Platform
4.3.5.6 NXP Autonomous Driving Computing Platform: Bluebox
4.3.5.7 NXP Bluebox Roadmap
4.3.5.8 Cooperation with Kalray
4.3.5.9 NXP’s Opinions on Automotive Electronics Evolution
4.3.6 DCU Chip Vendor: Intel
4.3.6.1 IntelGo
4.3.6.2 Mobileye EyeQ Family Product Roadmap
4.3.6.3 Mobileye EyeQ5 Product Progress
4.3.6.4 Integration between Mobileye EyeQx Product Lines and INTEL System
4.3.6.5 Total Shipments of Mobileye EyeQ Family Chips, 2014-2019
4.3.7 Horizon Robotics
4.3.7.1 Autonomous Driving Processors
4.3.7.2 Performance Parameters of Chips
4.3.7.3 Autonomous Driving Computing Platform
4.3.7.4 Automotive-grade AI Chip Customers
4.3.8 Other Chips for DCU
4.3.8.1 ARM Autonomous Driving Safety Processors
4.3.8.2 ARM Autonomous Driving Cores
4.3.8.3 ARM Industrial Cooperation
4.3.8.4 Infineon Multi-core Microcontrollers (1)
4.3.8.5 Infineon Multi-core Microcontrollers (2)
4.3.8.6 Xilinx FPGA
4.3.8.7 Application of Xilinx FPGA in Autonomous Driving and Industrial Cooperation
4.3.8.8 Xilinx Marched in ADAS/AD Market
4.3.8.9 Customers and Partners

5 Foreign DCU Vendors
5.1 Visteon
5.1.1Profile
5.1.2 Product Lines
5.1.3 Development Plan for Cockpit Electronics and Autonomous Driving
5.1.4 Business Progress Worldwide, 2019
5.1.5 Business Progress in China, 2019
5.1.6 DCU Business Progress and Expectation, 2019
5.1.7 Autonomous Driving Platform
5.1.8 Progress in Autonomous Driving Business, 2018
5.1.9 Progress in Autonomous Driving Business, 2019
5.1.10 Intelligent Cockpit DCU
5.1.11 Cockpit DCU Application Cases
5.2 Continental
5.2.1 Profile
5.2.2 Business Progress Worldwide, 2019
5.2.3 Layout of Autonomous Driving Product Lines
5.2.4 Autonomous Driving DCUs
5.2.5 Computing Power of Autonomous Driving DCU Chips
5.2.6 Development Plan for Automotive High Performance Computer Platform
5.2.7 Autonomous Driving DCU Partners
5.2.8 Cockpit DCUs
5.2.9 Security DCUs
5.3 Bosch
5.3.1 Business Progress Worldwide, 2019
5.3.2 Layout of Autonomous Driving Product Lines
5.3.3 Prediction of Next-generation Automotive Architecture Evolution
5.3.4 Intelligent Vehicle Multi-domain Architecture
5.3.5 Mixed Framework of ECU for Domain Classification
5.3.6 Autonomous Driving DCU Technology Roadmap
5.3.7 Performance Parameters of Autonomous Driving DCU Products
5.3.8 Development Plan for Autonomous Driving DCU
5.3.9 Development Plan for Computing Power of Autonomous Driving DCU
5.3.10 Comparison of Autonomous Driving DCUs between Bosch and Its Counterparts
5.3.11 Autonomous Driving Software Architecture (1)
5.3.12 Autonomous Driving Software Architecture (2)
5.3.13 Intelligent Cockpit Domain Architecture (1)
5.3.14 Intelligent Cockpit Domain Architecture (2)
5.3.15 Intelligent Cockpit Software R&D Partners
5.4 Veoneer
5.4.1 Business Progress, 2019
5.4.2 Layout of Autonomous Driving Product Lines
5.4.3 Active Safety Platform Architecture and Development Strategy
5.4.4 ADAS Controllers
5.4.5 ADAS/AD ECU
5.4.6 Functional Architecture of ADAS/AD ECU
5.4.7 Autonomous Driving Software Development
5.4.8 New Products Plan, 2019
5.5 ZF
5.5.1 Business Progress and Revenue Structure, 2019
5.5.2 Autonomous Driving DCU Product Plan
5.5.3 Progress in Application of Autonomous Driving DCU in China
5.5.4 Latest-generation Autonomous Driving DCUs
5.5.5 Development Roadmap and Mass-production Plan for Autonomous Driving DCU
5.5.6 Mass-production Plan for L2.5 Automated Driving Solutions
5.5.7 L4 Automated Driving Partners
5.5.8 Cooperation with Xilinx
5.5.9 Cooperation with Microsoft
5.6 Aptiv
5.6.1 Business Progress, 2019
5.6.2 Organizational Structure Adjustment
5.6.3 New Strategic Position
5.6.4 Intelligent Vehicle Architecture Design
5.6.5 Intelligent Vehicle Architecture Design: Features
5.6.6 Intelligent Vehicle Architecture Design: Topology
5.6.7 Intelligent Vehicle Architecture Design: Challenges for Development and Production
5.6.8 Intelligent Vehicle Architecture Design: Software-defined Platform
5.6.9 Intelligent Vehicle Architecture Design: Technological Strengths
5.6.10 Autonomous Driving Computing Platform
5.6.11 Cooperation with Others on DCU Development
5.6.12 Intelligent Cockpit DCUs
5.7 Magna
5.7.1 Business Progress, 2019
5.7.2 Autonomous Driving Product Lines
5.7.3 Autonomous Driving Platform DCUs
5.7.4 Features of Autonomous Driving Platform DCU
5.7.5 Launch of Highly Integrated Autonomous Driving Development Platform
5.8 Tesla Autonomous Driving Platform
5.8.1 Autopilot: Hardware Development Roadmap
5.8.2 Autopilot: Function Upgrade Path
5.8.3 Autopilot: Software Upgrade Path
5.8.4 Features of DCU (1)
5.8.5 Features of DCU (2)
5.8.6 Features of DCU (3)
5.8.7 Features of DCU (4)
5.8.8 Features of DCU (5)
5.8.9 New ECU Architecture
5.8.10 ECU Motherboards for Multimedia and Autonomous Driving
5.8.11 Tesla Model 3 Central Computing Modules
5.8.12 AutoPilot 3.0 Chip
5.9 TTTech
5.9.1 Profile
5.9.2 Autonomous Driving Solutions
5.9.3 Cooperation with Others on Development of Autonomous Driving DCUs
5.9.4 Technological Strengths of Autonomous Driving DCU Platform
5.9.5 Autonomous Driving Safety Software Platform
5.9.6 Cooperation with SAIC
5.10 Faurecia
5.10.1 Faurecia’s Business Progress, 2019
5.10.2 Business Progress of Faurecia Clarion Electronics, 2019
5.10.3 Global Presence of Faurecia Clarion Electronics
5.10.4 Product Lines of Faurecia Clarion Electronics
5.10.5 Ecosystem of Faurecia Clarion Electronics
5.10.6 Faurecia’s Next-generation Cockpit Intelligence Platform (CIP)
5.10.7 Faurecia’s Cockpit Strategic Layout
5.10.8 Faurecia Steps up Deployment of Its Intelligent Cockpit Strategy in China
5.11 Panasonic
5.11.1 Cockpit DCU Solutions
5.11.2 Cockpit Electronics Layout
5.11.3 Cockpit Electronics Computing Architecture

6 Chinese DCU Vendors
6.1 Huawei
6.1.1 Autonomous Driving Computing Platform
6.1.2 Intelligent Vehicle Development Strategy
6.1.3 Framework of MDC Autonomous Driving Computing Platform
6.1.4 Overall Architecture of MDC Autonomous Driving Computing Platform
6.1.5 MDC Autonomous Driving Software Platform and Software Development Kits
6.1.6 MDC Autonomous Driving Computing Platform Passed Automotive Certification of TUV
6.1.7 CDC Intelligent Cockpit Platform
6.2 Baidu
6.2.1 Baidu Autonomous Driving Brain (1)
6.2.2 Baidu Autonomous Driving Brain (2)
6.2.2 Baidu Autonomous Driving Brain (3)
6.2.3 Autonomous Driving Computing Platform—Baidu Computing Unit (BCU)
6.2.4 BCU: Product Partners
6.2.5 BCU: Performance Parameters of Products
6.2.6 Autonomous Driving DCU Product Roadmap
6.3 Desay SV
6.3.1 Strategic Layout
6.3.2 Intelligent Cockpit Product Lines and Customers
6.3.3 Intelligent Cockpit Products
6.3.4 Cooperation with Intelligent Cockpit Customers (1)
6.3.5 Cooperation with Intelligent Cockpit Customers (2)
6.3.6 Autonomous Driving DCU Partners
6.3.7 Participation in Apollo
6.3.8 Autonomous Driving Business Layout
6.3.9 Highway Pilot and AVP Solution
6.4 IN-DRIVING
6.4.1 Profile
6.4.2 Latest-generation Autonomous Driving DCUs
6.4.3 Autonomous Driving DCUs
6.4.4 Commercial Use of Autonomous Driving DCUs
6.4.5 Cooperation with Huawei
6.4.6 DCU Product Roadmap
6.5 iMotion
6.5.1 Profile
6.5.2 Central DCU
6.6 HiRain Technologies
6.6.1 ADAS DCUs
6.6.2 Body DCU Architecture
6.7 Neusoft & Neusoft Reach
6.7.1 Neusoft’s Layout of Intelligent Connected Vehicle
6.7.2 Neusoft Reach’s Software-defined Computing (SDC) Solutions
6.7.3 Neusoft Reach’s SDC Core Platform
6.7.4 Neusoft Reach NeuSAR 2.0 and Universal DCUs
6.7.5 Neusoft Reach’s Autonomous Driving DCU Partners
6.7.6 Features of Neusoft Reach’s Autonomous Driving DCU
6.7.7 Neusoft’s Intelligent Cockpit Platform Partners
6.7.8 Neusoft’s Vehicle Computing Platform (VCP)
6.8 Hong Jing Drive
6.8.1 Autonomous Driving DCUs
6.8.2 Autonomous Driving DCU Technology Roadmap
6.9 Hangsheng Electronics
6.9.1 Product Layout
6.9.2 Intelligent Cockpit Ecosystem
6.9.3 Intelligent Cockpit Rapid Iteration Capability
6.9.4 Intelligent Cockpit Customers
6.10 CooKoo Technology

  • Global Automotive 4D Imaging Radar Market Research Report 2024
    Published: 11-Jan-2024        Price: US 2900 Onwards        Pages: 141
    The global Automotive 4D Imaging Radar market was valued at US$ 116.13 million in 2023 and is anticipated to reach US$ 7,017.98 million by 2030, witnessing a CAGR of 75.08% during the forecast period 2024-2030. China market for Automotive 4D Imaging Radar is estimated to increase from $ 112.5 million in 2023 to reach $ 17,235.23 million by 2030, at a CAGR of 100.3% during the forecast period of 2024 through 2030. The major global manufacturers of Automotive 4D Imaging Radar include......
  • Global Automotive Rader Sensors Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 116
    The global Automotive Rader Sensors market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. Automotive is a key driver of this industry. According to data from The World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in The past 10 years, at 97.3 million and 95.89 million respectively. In 2018, The global economic expansion ended, and The ......
  • Global Side Door Latches Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 101
    The global Side Door Latches market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. North American market for Side Door Latches is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during The forecast period of 2024 through 2030. Asia-Pacific market for Side Door Latches is estimated to increase from $ million in 2023 to reach $ million by 2030......
  • Global Tubeless Tires Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 116
    The global Tubeless Tires market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. In 2022, global tire sales reached 1.749 billion units, of which The three major markets of Europe, North America and China will collectively sell 1.14 billion units, accounting for 65% of The total. China is The world's largest tire producer and exporter. Among The top 75 tire companies in 2022 released by T......
  • Global Motorcycle Lighting Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 120
    The global Motorcycle Lighting market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. North American market for Motorcycle Lighting is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during The forecast period of 2024 through 2030. Asia-Pacific market for Motorcycle Lighting is estimated to increase from $ million in 2023 to reach $ million b......
  • Global Wireless Car Charging Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 87
    The global Wireless Car Charging market was valued at US$ 2401 million in 2023 and is anticipated to reach US$ 10350 million by 2030, witnessing a CAGR of 22.7% during The forecast period 2024-2030. North American market for Wireless Car Charging is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during The forecast period of 2024 through 2030. Asia-Pacific market for Wireless Car Charging is estimated to increase from $ million in 2023......
  • Global Fixed-route Autonomous Vehicle Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 87
    The global Fixed-route Autonomous Vehicle market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. Automotive is a key driver of this industry. According to data from The World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in The past 10 years, at 97.3 million and 95.89 million respectively. In 2018, The global economic expansion ended, an......
  • Global Eco Friendly Tyre Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 95
    The global Eco Friendly Tyre market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during The forecast period 2024-2030. In 2022, global tire sales reached 1.749 billion units, of which The three major markets of Europe, North America and China will collectively sell 1.14 billion units, accounting for 65% of The total. China is The world's largest tire producer and exporter. Among The top 75 tire companies in 2022 released b......
  • Global Radial Tire Mold Market Research Report 2024
    Published: 10-Jan-2024        Price: US 2900 Onwards        Pages: 101
    This report studies Radial Tire Mold. Tire molds are used in The vulcanization molding of all kinds of tires. Usually, The tire molds can be classified in to segmented molds and two-piece molds. The global Radial Tire Mold market was valued at US$ 1522 million in 2023 and is anticipated to reach US$ 1671.9 million by 2030, witnessing a CAGR of 1.5% during The forecast period 2024-2030. In 2022, global tire sales reached 1.749 billion units, of which The three major markets of......
  • SERVICES
    Value for Money
    We believe in "optimum utilization of available budget and resources". While servicing our clients' (your) market research requirements, we keep the same approach in focus to help you get the best value for your $$s.
    Ever Growing Inventory
    Ranging from the smallest feasible / required data (datasheets, data facts, SWOT analysis, company profiles, etc) to full research reports that help you make decisions, our inventory is updated almost on a daily basis with the latest industry reports from domain experts that track more than 5000 niche sectors.
    One Stop Solution
    Need a custom research report on medical devices market? Require all available business intelligence on 3D printing industry? Exploring F&B sector of a particular country/region? RnRMarketResearch.com is your one-stop-solution to all market intelligence needs. We not only offer custom research and consulting services, we also "bundle" reports to meet your needs and help you fetch the data analysis you require for your business.
    Dedicated Client Engagement
    Not limited to only "finding" relevant reports for you, our client engagement team dedicates its efforts to understand your "business need" and accordingly maps available research data to help you move forward. Call "your" client engagement executive any time of your day and get your questions answered in order to make the correct business decision.
    Saving Time and Efforts
    Simply share your research requirement details with us and let us do all the hard work to find required intelligence for you. When you add up our "one stop solution" and "dedicated client engagement" services mentioned above, you obviously know the time and effort saving you do by working with us.
    Payment Flexibility
    Working with Fortune 500 organizations, we understand the importance of being flexible for payments. Share your payment terms with us and we will surely match up to them to ensure you get access to required business intelligence data without having to wait for the payment to be done.
    Post-Purchase Research Support
    Have questions after reading a report / datasheet bought through us? Not sure about the methodology used for data available in the research? Talk to us / Share your questions with us and if required, we will connect you with the analyst(s)/author(s) of the report(s) and ensure you get satisfactory answers for the same. Need more data / analysis / report(s) on the topic of your research/project? The RnRMarketResearch.com team is here for you 24X7 to support you with your post-purchase requirements. Subscription Offers & Packages (Get in touch with us for more details - [email protected] / +1 888 391 5441 )
    • Ad Hoc
    • Pay - as - you - go / Bucket Subscriptions
    • Fixed Cost for #of reports
    • Customize / Personalize as per your needs