Smart Fleet Management Market is Predicted to Rise at a Stable Rate of 6.7% By 2027

Precedence Research recently published a report on “Smart Fleet Management Market Size, Share and Growth Analysis, By Hardware (Remote Diagnostics, Tracking, Optimization, and ADAS), By Transportation (Rolling Stock, Automotive, and Marine), By Connectivity (Long Range Communication, Short Range Communication, and Cloud) – Global Industry Analysis, Trends, Regional Outlook and Forecast 2020 – 2027”. Amid the COVID-19 crisis, The global smart fleet management market size is projected to reach USD 603.4 billion by 2027 from an estimated USD 359.16 billion in 2019, at a CAGR of 6.7% from 2020 – 2027.

The market revenue/volume with the help of widespread quantitative and qualitative insights, and forecasts of the market. This report presents breakdown of market into forthcoming and niche segments. Additionally, this research study gauges market revenue growth and its drift at global, regional, and country from 2016 to 2027. This research report evaluates smart fleet management market on a global and regional level. It offers thorough analysis of market status, growth and forecast of the global smart fleet management market for the period from 2016 to 2027. This research study offers historic data for years 2016 to 2027 along with a forecast from 2020 to 2027 based on value.

Smart fleet management is a system that helps in keeping track of variable factors such as maintenance, fuel consumption, and route management. Smart fleet management systems offer a dedicated server for fleet security and data in a single system that enables operators to analyze and make cost effective decisions. Such availability of integrated data through smart fleet management solution attracts customers across the globe.

Growth Factors

Need for high fuel efficiency combined with high speed networks expected to propel the market for smart fleet management. Government regulations and rising demand for connectivity predicted to augment the market growth. Furthermore, reduction of both, operating cost and transportation cost has emerged as a major trend in the automotive sector that encourages the players in the smart fleet management market.

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Scope of the Study

This smart fleet management market report studies market dynamics, status and outlook especially in North America, Europe and Asia-Pacific, Latin America, Middle East and Africa. This research report offers scenario and forecast (revenue/volume), and categorizes market by players, type, application, and region. This report also studies global market prominence, competitive landscape, market share, growth rate market dynamics such as drivers, restraints and opportunities, and distributors and sales channel.

This research study also integrates Industry Chain analysis and Porter’s Five Forces Analysis. Further, this report offers competitive scenario which comprises collaborations, market concentration rate and expansions, mergers & acquisitions undertaken by companies.

Report Highlights

• In 2019, the Asia Pacific occupied maximum market value share in the global smart fleet management market and encountered attractive growth during the analysis period. This is attributed to the increasing transportation facilities in the developing countries such as India, Japan, China, Singapore, Korea, and Malaysia. Furthermore, increasing number of accident cases across the region also significantly boost the requirement for vehicle safety features to curtail the number of deaths due to road accidents across the Asia Pacific, thereby propels the growth of smart fleet management in the region.
• North America and Europe are other prominent regions that contribute significantly for the revenue share in the global smart fleet management market. Technological advancement and rising demand for electric and autonomous vehicles are some of the prime factors that drive the overall market growth in the regions.
• In 2019, automotive segment captured maximum market value share in the global smart fleet management market and projected to register the fastest growth over the forecast period. Numerous advantages offered by the connected vehicles such as remote diagnostics, fuel management, remote monitoring, route optimization, vehicle idle time, and predictive maintenance contribute prominently towards the growth of the segment.
• In terms of hardware, Advanced Driver Assistance System (ADAS) expected to demonstrate the fastest growth over the analysis period. Although, governments of various regions have issued mandatory laws for the adoption of vehicle safety equipment, autonomous car technology has encountered stupendous growth in the recent past and predicted to exhibit the same trend in the coming years. This serves as one of the prime factor for the growth of ADAS segment in smart fleet management market.

Key Players:

This report also provides detailed company profiles of the key market players. This research report also highlights the competitive landscape of the smart fleet management market and ranks noticeable companies as per their occurrence in diverse regions across globe and crucial developments initiated by them in the market space. This research study also tracks and evaluates competitive developments, such as collaborations, partnerships, and agreements, mergers and acquisitions; novel product introductions and developments, promotion strategies and Research and Development (R&D) activities in the marketplace. The competitive profiling of these players includes business and financial overview, gross margin, production, sales, and recent developments which can aid in assessing competition in the market.

Some of the prominent players in the smart fleet management market include:

• Continental AG
• Sierra Wireless
• Cisco Systems, Inc.
• Siemens AG
• IBM Corporation
• Tech Mahindra
• Robert Bosch GmbH
• Zonar Systems, Inc.

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Regional Snapshots

The Asia Pacific is an eye catching region in the global smart fleet management market. The region dominated the global market in 2019 and projected the fastest growth over the analysis period. Increasing number of road accidents and numerous initiatives taken by the government pertaining to implementation of driver safety features to curb the number of increasing accidents expected to boost the demand for smart fleet management system. Japan, China, India, Singapore, Korea, Malaysia, and other developing countries in the region are prominently investing for the transformation of fleet into smarter. This will helps the region to efficiently tune the mobility traffic with the carbon emission, thereby achieving the air quality standard in the region.

Besides this, North America and Europe are the other prominent markets and cater prominent value share in the global smart fleet management market. Increasing consumer preference towards smart and battery-powered vehicles significantly drives the smart fleet management market. Furthermore, existence of favorable infrastructure to support the smart fleet management system is the other major factor propelling the market growth.

Segments Covered in the Report

This research study encompasses comprehensive assessment of the marketplace revenue with the help of prevalent quantitative and qualitative intelligences, and prognoses of the market. This report presents breakdown of market into major and niche segments. Furthermore, this research study gauges market revenue growth and its drift at global, regional, and country from 2016 to 2027. This report comprises market division and its revenue valuation by categorizing it depending on hardware, transportation, connectivity, and region:

By Hardware

• Remote Diagnostics
• Tracking
• Optimization
• ADAS

By Transportation

• Rolling Stock
• Automotive
• Marine

By Connectivity

• Long Range Communication
• Short Range Communication
• Cloud

By Regional

• North America
  • U.S.
  • Canada
• Europe
  • U.K.
  • Germany
  • France
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
• Rest of the World

Key Takeaways

• Comprehensive analysis of the smart fleet management market trends and shares from 2020 to 2027 at global and regional level to identify growth opportunities and analyze market developments
• Exhaustive analysis of price trends with respect to resin type and region that are expected to impact the outlook of the global smart fleet management market
• Porters’ Five Forces analysis that highlights the bargaining power of buyers and suppliers to enable stakeholders to make profit-oriented business decisions
• Extensive market outlook of key geographic regions along with market drivers, inhibitors, current & future market trends, and emerging applications
• Comprehensive list of key potential clients across major end-use industries in different geographies
• Thorough import-export analysis  across the globe
• Regional level production output to comprehend the demand-supply scenario
• Competitive landscape covers key companies’ profiling, market share analysis, market footprint analysis, competitive business strategies, channels, and competition matrix for key players

TABLE OF CONTENT

 

Chapter 1. Introduction

1.1. Research Objective
1.2. Scope of the Study
1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope

4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis

Chapter 5. Market Dynamics Analysis and Trends

5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers

Chapter 7. Global Smart Fleet Management Market, By Hardware

7.1. Smart Fleet Management Market, by Hardware Type, 2020-2027
7.1.1. Remote Diagnostics
7.1.1.1. Market Revenue and Forecast (2016-2027)
7.1.2. Tracking
7.1.2.1. Market Revenue and Forecast (2016-2027)
7.1.3. Optimization
7.1.3.1. Market Revenue and Forecast (2016-2027)
7.1.4. ADAS
7.1.4.1. Market Revenue and Forecast (2016-2027)

Chapter 8. Global Smart Fleet Management Market, By Transportation

8.1. Smart Fleet Management Market, by Transportation, 2020-2027
8.1.1. Rolling Stock
8.1.1.1. Market Revenue and Forecast (2016-2027)
8.1.2. Automotive
8.1.2.1. Market Revenue and Forecast (2016-2027)
8.1.3. Marine
8.1.3.1. Market Revenue and Forecast (2016-2027)

Chapter 9. Global Smart Fleet Management Market, By Connectivity

9.1. Smart Fleet Management Market, by Connectivity, 2020-2027
9.1.1. Long Range Communication
9.1.1.1. Market Revenue and Forecast (2016-2027)
9.1.2. Short Range Communication
9.1.2.1. Market Revenue and Forecast (2016-2027)
9.1.3. Cloud
9.1.3.1. Market Revenue and Forecast (2016-2027)

Chapter 10. Global Smart Fleet Management Market, Regional Estimates and Trend Forecast

10.1. North America
10.1.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.1.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.1.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.1.4. U.S.
10.1.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.1.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.1.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.1.5. Rest of North America
10.1.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.1.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.1.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.2.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.2.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.2.4. UK
10.2.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.2.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.2.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.2.5. Germany
10.2.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.2.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.2.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.2.6. France
10.2.6.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.2.6.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.2.6.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.2.7. Rest of Europe
10.2.7.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.2.7.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.2.7.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.3.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.3.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.3.4. India
10.3.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.3.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.3.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.3.5. China
10.3.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.3.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.3.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.3.6. Japan
10.3.6.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.3.6.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.3.6.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.3.7. Rest of APAC
10.3.7.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.3.7.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.3.7.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.4.4. GCC
10.4.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.4.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.4.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.4.5. North Africa
10.4.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.4.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.4.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.4.6. South Africa
10.4.6.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.4.6.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.4.6.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.4.7. Rest of MEA
10.4.7.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.4.7.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.4.7.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.5.4. Brazil
10.5.4.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.5.4.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.5.4.3. Market Revenue and Forecast, by Connectivity (2016-2027)
10.5.5. Rest of LATAM
10.5.5.1. Market Revenue and Forecast, by Hardware (2016-2027)
10.5.5.2. Market Revenue and Forecast, by Transportation (2016-2027)
10.5.5.3. Market Revenue and Forecast, by Connectivity (2016-2027)

Chapter 11. Company Profiles

11.1. Continental AG
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. Sierra Wireless
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Cisco Systems, Inc.
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. Siemens AG
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. IBM Corporation
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. Tech Mahindra
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Robert Bosch GmbH
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. Zonar Systems, Inc.
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives

Chapter 12. Research Methodology

12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions

Chapter 13. Appendix

13.1. About Us
13.2. Glossary of Terms

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