According to the research report, the global smartfleet management market size is expected to touch USD 603.4 Billion by 2030, from USD 359.16 Billion in 2021, growing with a significant CAGR of 6.7% from 2022 to 2030.
The smart fleet management market report
offers a comprehensive study of the current state expected at the major
drivers, market strategies, and key vendors’ growth. The report presents
energetic visions to conclude and study the market size, market hopes, and
competitive surroundings. The research also focuses on the important
achievements of the market, research & development, and regional growth of
the leading competitors operating in the market. The current trends of the
global smart fleet management market in conjunction with the geographical
landscape of this vertical have also been included in this report.
The report offers intricate dynamics about
different aspects of the global smart fleet management market, which aids
companies operating in the market in making strategic development decisions.
The study also elaborates on significant changes that are highly anticipated to
configure growth of the global smart fleet management market during the
forecast period. It also includes a key indicator assessment that highlights
growth prospects of this market and estimates statistics related to growth of
the market in terms of value (US$ Mn) and volume (tons).
Sample Link https://www.precedenceresearch.com/sample/1058
| Report Highlights | Details |
| Market Size | USD 603.4 Billion by 2027 |
| Growth Rate | CAGR of 6.7% from 2021 to 2027 |
| Largest Market | Asia Pacific |
| Fastest Growing Market | North America |
| Base Year | 2021 |
| Forecast Period | 2021 to 2027 |
| Segments Covered | Hardware, Transportation, Connectivity, Region |
This study covers a detailed segmentation
of the global smart fleet management market, along with key information and a
competition outlook. The report mentions company profiles of players that are
currently dominating the global smart fleet management market, wherein various
developments, expansions, and winning strategies practiced and implemented by
leading players have been presented in detail.
Key Players
- Continental AG
- Sierra Wireless
- Cisco Systems, Inc.
- Siemens AG
- IBM Corporation
- Tech Mahindra
- Robert Bosch GmbH
- Zonar Systems, Inc.
Market Segmentation
- 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
Research Methodology
The research methodology adopted by
analysts for compiling the global smart fleet management market report is based
on detailed primary as well as secondary research. With the help of in-depth
insights of the market-affiliated information that is obtained and legitimated
by market-admissible resources, analysts have offered riveting observations and
authentic forecasts for the global market.
During the primary research phase, analysts
interviewed market stakeholders, investors, brand managers, vice presidents,
and sales and marketing managers. Based on data obtained through interviews of
genuine resources, analysts have emphasized the changing scenario of the global
market.
For secondary research, analysts
scrutinized numerous annual report publications, white papers, market
association publications, and company websites to obtain the necessary understanding
of the global smart fleet management market.
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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