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The heavy-duty trucks on-board diagnostics system market is forecasted to grow by USD 89.21 mn during 2023-2028, accelerating at a CAGR of 3.42% during the forecast period. The report on the heavy-duty trucks on-board diagnostics system market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by need for fleet operators to reduce total cost of ownership, adoption of usage-based insurance (ubi) models, and increasing volume of electronic content in modern vehicles.
The heavy-duty trucks on-board diagnostics system market is segmented as below:
By Vehicle Type
- Class 8
- Class 7
By Type
- Hand-held scan tools
- Mobile device based tools
- PC-based scan tools
By Geographical Landscape
- North America
- APAC
- Europe
- South America
- Middle East and Africa
The report on the heavy-duty trucks on-board diagnostics system market covers the following areas:
- Heavy-duty trucks on-board diagnostics system market sizing
- Heavy-duty trucks on-board diagnostics system market forecast
- Heavy-duty trucks on-board diagnostics system market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.
Table of Contents
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Vehicle Type
7 Market Segmentation by Type
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
List of Exhibits
Executive Summary
The publisher recognizes the following companies as the key players in the global heavy-duty trucks on-board diagnostics system market: ACTIA Group, Autel Intelligent Technology Co., AVL DiTEST GmbH, Bridgestone Corp., CalAmp Corp., Continental AG, Cummins Inc., Danlaw Inc., Fleet Complete, Garrett Motion Inc., Geotab Inc., iWave Systems Technologies Pvt. Ltd., Moj.io Inc., OBD Solutions LLC, Robert Bosch GmbH, Snap On Inc., Vector Informatik GmbH, Vidiwave Ltd., ZF Friedrichshafen AG, and Zubie Inc..Commenting on the report, an analyst from the research team said: 'The latest trend gaining momentum in the market is emergence of truck platooning.'
According to the report, one of the major drivers for this market is the need for fleet operators to reduce total cost of ownership.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ACTIA Group
- Autel Intelligent Technology Co.
- AVL DiTEST GmbH
- Bridgestone Corp.
- CalAmp Corp.
- Continental AG
- Cummins Inc.
- Danlaw Inc.
- Fleet Complete
- Garrett Motion Inc.
- Geotab Inc.
- iWave Systems Technologies Pvt. Ltd.
- Moj.io Inc.
- OBD Solutions LLC
- Robert Bosch GmbH
- Snap On Inc.
- Vector Informatik GmbH
- Vidiwave Ltd.
- ZF Friedrichshafen AG
- Zubie Inc.
