The Global Predictive Analytics in Fleet Management Market is estimated to be USD 9.18 Bn in 2023 and is expected to reach USD 12.36 Bn by 2028 growing at a CAGR of 6.13%.Data-driven insights revolutionize fleet management, propelling the Global Predictive Analytics in Fleet Management Market to new heights
In fleet management, predictive analytics uses data analysis methods and statistical models to predict and forecast various elements of a fleet's operations. It involves analyzing historical and current data from various fleet sources, including telematics systems, maintenance logs, fuel use, driver behavior, weather data, and more.
The growing popularity of telematics devices in vehicles offers a lot of real-time data that can be used for fleet management predictive analytics. The rising use of telematics drives the demand for predictive analytics solutions to utilize the gathered data effectively.
Fleet managers continuously seek methods to minimize expenses, save money, maximize asset utilization, and boost operational effectiveness. The acceptance of such solutions is sparked by predictive analytics, which provides insightful information that can help with these goals. Unexpected vehicle issues can be expensive and disruptive to fleet operations. Predictive analytics makes proactive maintenance possible by forecasting equipment failures, lowering downtime, and lowering repair costs.
Various regulatory guidelines related to emissions, driver hours-of-service, and maintenance schedules apply to the fleet industry. By analyzing data and offering insights to optimize operations while adhering to regulatory norms, predictive analytics may help ensure compliance.
- The development of analytics tools like machine learning and artificial intelligence allows fleet managers to make better predictions and decisions. These tools allow for analyzing large data sets and looking for hidden patterns.
- Fleets can collect and analyze vast volumes of real-time data by integrating predictive analytics with the Internet of Things (IoT) and big data technology. Through this connectivity, there are possibilities for better fleet visibility, predictive analytics, and decision-making.
- However, hardware, software, and data infrastructure investments are frequently necessary to implement predictive analytics systems. Some fleet operators, especially smaller ones, may be constrained by the up-front expenses of installing these solutions.
- Fleet data should provide accurate and reliable information. Predictive analytics can't predict further operative functions if the information or data collected is inaccurate.
- Overall, Global Predictive Analytics in Fleet Management is expected to grow over the years because of the demand for telematics and efficient operations resulting in market growth.
Market Segmentations
- The Global Predictive Analytics in Fleet Management Market is segmented based on Solution Type, Fleet Type, and Geography.
- By Fleet Type, the market is classified into Commercial Fleets, Government Fleets, Service Fleets, and Rental and Leasing Fleets.
- Commercial fleets hold a significant market share. Commercial fleets cover various sectors and industries, such as supply chain management, logistics, and delivery.
- By Solution Type, the market is classified into Predictive Maintenance, Fuel Optimization, Route Optimization, Safety and Risk Management, and Asset Utilization.
- Solutions for predictive maintenance hold a larger share of the market. They use data from sensors, telematics systems, and past maintenance records to forecast equipment failures and requirements. Fleet managers can schedule proactive maintenance, minimize unscheduled downtime, minimize maintenance costs, and improve overall fleet reliability by predicting potential problems.
- By Geography, the market is classified into the Americas, Europe, Middle-East & Africa, and Asia-Pacific.
- America holds a significant share of the market. The area is home to several significant fleet operators, logistics firms, and technology suppliers, and it also has a developed fleet management sector. Due to the large-scale operations and emphasis on efficiency and cost optimization, America, in particular, has a strong adoption of predictive analytics solutions in fleet management.
Recent Development
- Predictive analytics uses AI and data to help fleets avoid getting behind in work by allowing them to look ahead. -January 2022
- Predictive analytics can improve customer service and operational efficiency. - March 2022
Company Profiles
The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are California Amplifier Inc., Iteris Inc., LexisNexis Risk Solutions Co, Sensata Technologies B.V., etc.Countries Studied
- America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
- Europe (Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Luxemburg, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
- Middle-East and Africa (Egypt, Israel, Qatar, Nigeria, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
- Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)
Competitive Quadrant
The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.Ansoff Analysis
- The report presents a detailed Ansoff matrix analysis for the Global Predictive Analytics in Fleet Management Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
- The publisher analyses the Global Predictive Analytics in Fleet Management Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
- Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.
Why buy this report?
- The report offers a comprehensive evaluation of the Global Predictive Analytics in Fleet Management Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The research report also provides a detailed market size analysis and projections in volume and value terms. The projections are calculated using verified research methodologies.
- Excel data sheet for the market size will also be provided with the report.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes an in-depth market analysis using Porter’s 5 forces model, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 on the market is also featured in the report.
- The report includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
- The report includes Self-Assessment Form, which helps customers evaluate their position in the market compared to their competitors
- The report offers customized research - tailored uniquely to our customers with a quick turnaround time. We offer a 15% customization option at no extra charge to all our clients for any of our syndicated reports.
Report Highlights:
- A complete analysis of the market, including the parent industry
- Important market dynamics and trends
- Impact Analysis - a comprehensive assessment to confront risk and make strategic & operational decisions to counter the changes in the market environment.
- Market segmentation
- Competitive Analysis: Comparative analysis of competitor
- Historical, current, and projected size of the market based on value and volume
- Market size of the US states
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Table of Contents
1 Report Description
2 Research Methodology
3 Executive Summary
4 Market Dynamics
5 Market Analysis
6 Global Predictive Analytics in Fleet Management Market, By Fleet Type
7 Global Predictive Analytics in Fleet Management Market, By Solution Type
8 America’s Predictive Analytics in Fleet Management Market
9 Europe’s Predictive Analytics in Fleet Management Market
10 Middle East and Africa’s Predictive Analytics in Fleet Management Market
11 APAC’s Predictive Analytics in the Fleet Management Market
12 Competitive Landscape
13 Company Profiles
14 Appendix
Companies Mentioned
- Bridgestone Corp.
- California Amplifier Inc.
- Continental Ag
- Descartes Systems Group Inc.
- Fleet Complete Inc.
- Inseego Corp.
- Iteris Inc.
- LexisNexis Risk Solutions Co.
- Lytx, Inc.
- Michelin Co.
- Motion Intelligence Inc.
- Orbcomm Corp.
- PTV GmbH
- Rarestep Inc.
- Samsara, Inc.
- Sensata Technologies B.V.
- Solera, Inc.
- Teletrac Navman US Ltd.
- Trimble, Inc.
- Verizon Connect Software Co.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 195 |
| Published | February 2024 |
| Forecast Period | 2023 - 2028 |
| Estimated Market Value ( USD | $ 9.18 Billion |
| Forecasted Market Value ( USD | $ 12.36 Billion |
| Compound Annual Growth Rate | 6.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |
