查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1904576

商用电动车队分析市场预测至2032年：按解决方案、部署模式、车队类型、车辆类型、最终用户和地区分類的全球分析

Commercial EV Fleet Analytics Market Forecasts to 2032 - Global Analysis By Solution, Deployment Model, Fleet Type, Vehicle Type, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球商用电动车队分析市场规模将达到 1,008 亿美元，到 2032 年将达到 3,869 亿美元，预测期内复合年增长率为 18.3%。

商用电动车队分析是指利用数据驱动平台和人工智慧工具来监控、优化和管理电动车队。这包括电池健康状况、充电週期、路线效率、消费量和预测性维护。透过整合远端资讯处理、物联网感测器和云端仪錶板，车队营运商可以获得可操作的洞察，从而降低成本、提高运转率并增强永续性。对于正在向电动出行解决方案转型的物流、公共运输和配送公司而言，此分析架构至关重要。

商用车快速电气化

燃油价格波动和严格的排放目标正在推动商用车快速电气化，这成为商用电动车队分析市场的主要成长要素。车队营运商正在加速采用电动货车、巴士和卡车，推动了对能够监控车辆性能、电池状况和消费量的分析平台的需求。在政府补贴和企业永续性措施的推动下，数据驱动的车队智慧对于最大限度地提高车辆运转率、延长资产寿命和降低整体拥有成本至关重要。

充电基础设施不足

充电基础设施不足仍然是一大限制因素，尤其对于跨地域运作的大型商用电动车队而言更是如此。公共充电网路和充电站网路的不足，使得路线规划和运转率最佳化变得更加复杂。受基础设施部署不平衡和电网容量有限的影响，车队分析解决方案面临数据短缺和营运效率降低的问题。这些限制因素增加了停机风险，并阻碍了车队运营商全面实现资产电气化，儘管长期需求强劲，但分析解决方案的普及速度仍然缓慢。

车队成本优化分析的需求

对车队成本优化分析日益增长的需求，为商用电动车队分析市场带来了巨大的机会。先进的分析技术能够帮助营运商优化充电计划、降低能源成本并改善驾驶员行为。物流和运输业电费上涨和利润率下降，促使车队越来越依赖预测分析来降低营运成本。人工智慧驱动的预测分析与情境建模的融合，进一步提升了决策能力，为提供以金额为准、以投资回报率为核心的解决方案的分析服务提供者创造了强劲的发展机会。

资料安全与网路风险

商用电动车队会产生大量的敏感营运数据，这使得数据安全和网路风险成为市场成长的重大威胁。车队分析平台依赖车辆、充电器和云端系统之间的即时连接，这增加了它们遭受网路攻击的风险。资料外洩和勒索软体事件的不断增加，加剧了安全隐患，并可能限制其普及应用。监管合规要求和资料遗失的潜在责任进一步增加了分析供应商和车队营运商面临的风险。

新冠疫情的影响

新冠疫情对商用电动车队分析市场产生了复杂的影响。短期内，车辆生产和车队扩张的中断延缓了分析系统的应用。然而，电子商务和最后一公里配送的激增提升了对高效率、数据驱动型车队管理的需求。在降低营运成本和增强韧性的驱动下，车队营运商在疫情后加快了数位转型。这一转变进一步巩固了对支援电动商用车队的分析解决方案的长期需求。

预计在预测期内，车队性能分析细分市场将占据最大的市场份额。

由于车队性能分析对营运效率有直接影响，预计在预测期内，该细分市场将占据最大的市场份额。这些解决方案能够提供车辆利用率、电池劣化和能源效率等方面的洞察。为了最大限度地运作并最大限度地降低维护成本，车队营运商正在优先考虑性能分析。其提供可操作的关键绩效指标 (KPI) 和预测性维护警报的能力，正在推动其在物流、公共交通和企业车队中的广泛应用。

预计在预测期内，云端细分市场将实现最高的复合年增长率。

预计在预测期内，云端解决方案将实现最高成长率，这主要得益于其可扩展性、即时资料存取和更低的初始成本。云端平台能够集中监控地理位置分散的电动车队，并与充电基础设施无缝整合。随着物联网连接和人工智慧分析技术的进步，云端部署支援快速的功能更新和数据驱动的最佳化。与本地部署解决方案相比，这些优势将推动云端解决方案实现更高的复合年增长率。

比最大的地区

预计亚太地区将在预测期内占据最大的市场份额，这主要得益于中国、印度和东南亚商用车的快速电气化。政府推出的法规、补贴以及改善都市区空气品质的措施正在加速电动车的普及。大规模的物流网络和大量的商用车将支撑车队分析的强劲需求。该地区不断扩展的数位基础设施也将进一步推动分析平台的广泛应用。

预计年复合成长率最高的地区

在预测期内，北美预计将实现最高的复合年增长率，这主要得益于先进的车队数位化和对电动车基础设施的大力投资。物流、零售和公共运输领域的车队营运商正越来越多地采用分析技术来有效管理其电动资产。在联邦政府奖励、企业永续性目标以及云端运算快速普及的推动下，市场需求持续成长。领先的分析和电动车技术供应商的存在也进一步促进了区域市场的成长。

免费客製化服务

购买此报告的客户可享有以下免费自订选项之一：

  • 公司概况
    • 最多三家新增市场参与企业进行全面分析
    • 主要参与企业（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，对主要国家进行市场估算和预测，并计算复合年增长率（註：可行性需确认）。
  • 竞争标竿分析
    • 从产品系列、地域覆盖范围和策略联盟等方面对主要参与企业进行基准分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球商用电动车队分析市场（依解决方案划分）

  • 车队性能分析
  • 电池健康分析
  • 路线优化分析
  • 充电基础设施分析
  • 驾驶行为分析
  • 维护分析

6. 全球商用电动车队市场按车型分類的分析

  • 基于云端的
  • 本地部署
  • 杂交种

7. 全球商用电动车队市场分析（依车队类型划分）

  • 最后一公里配送车队
  • 公共运输工具
  • 物流和货运车队
  • 企业电动车队

8. 全球商用电动车队市场分析（依车辆类型划分）

  • 电动货车
  • 电动卡车
  • 电动巴士

9. 全球商用电动车队分析市场（依最终用户划分）

  • 物流与电子商务公司
  • 公共运输
  • 公司
  • 叫车旅游服务供应商
  • 市政和政府车队
  • 公共产业能源服务供应商

第十章 全球商用电动车队市场区域分析

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • Geotab Inc.
  • Verizon Connect
  • Trimble Inc.
  • Samsara Inc.
  • Teletrac Navman
  • ChargePoint Holdings, Inc.
  • Siemens AG
  • ABB Ltd.
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Fleet Complete
  • Webfleet Solutions
  • Targa Telematics
  • Zonar Systems, Inc.
Product Code: SMRC33076

According to Stratistics MRC, the Global Commercial EV Fleet Analytics Market is accounted for $100.8 billion in 2025 and is expected to reach $386.9 billion by 2032 growing at a CAGR of 18.3% during the forecast period. Commercial EV Fleet Analytics refers to the use of data-driven platforms and AI tools to monitor, optimize, and manage fleets of electric vehicles. It covers battery health, charging cycles, route efficiency, energy consumption, and predictive maintenance. By integrating telematics, IoT sensors, and cloud-based dashboards, fleet operators gain actionable insights to reduce costs, improve uptime, and enhance sustainability. This analytics framework is vital for logistics, public transport, and delivery companies transitioning to electrified mobility solutions.

Market Dynamics:

Driver:

Rapid electrification of commercial fleets

Rapid electrification of commercial fleets is a primary growth driver for the Commercial EV Fleet Analytics market, driven by fuel cost volatility and aggressive emission reduction targets. Fleet operators are increasingly adopting electric vans, buses, and trucks, creating demand for analytics platforms that monitor vehicle performance, battery health, and energy consumption. Fueled by government incentives and corporate sustainability commitments, data-driven fleet intelligence becomes essential for maximizing uptime, extending asset life, and improving total cost of ownership.

Restraint:

Limited charging infrastructure availability

Limited charging infrastructure availability remains a key restraint, particularly for large-scale commercial EV fleets operating across diverse geographies. Inadequate public and depot charging networks complicate route planning and utilization optimization. Influenced by uneven infrastructure rollout and grid capacity constraints, fleet analytics solutions face data gaps and operational inefficiencies. These limitations increase downtime risk and deter fleet operators from fully electrifying assets, slowing analytics adoption despite strong long-term demand fundamentals.

Opportunity:

Fleet cost optimization analytics demand

Growing demand for fleet cost optimization analytics presents a major opportunity in the Commercial EV Fleet Analytics market. Advanced analytics enable operators to optimize charging schedules, reduce energy costs, and improve driver behavior. Propelled by rising electricity prices and margin pressures in logistics and transportation, fleets increasingly rely on predictive insights to lower operational expenses. Integration of AI-driven forecasting and scenario modeling further enhances decision-making, creating strong opportunities for analytics providers offering value-based, ROI-focused solutions.

Threat:

Data security and cyber risks

Data security and cyber risks pose a significant threat to market growth, as commercial EV fleets generate vast volumes of sensitive operational data. Fleet analytics platforms rely on real-time connectivity between vehicles, chargers, and cloud systems, increasing exposure to cyberattacks. Fueled by growing incidents of data breaches and ransomware, security concerns may limit adoption. Regulatory compliance requirements and potential liability from data loss further heighten risk for analytics vendors and fleet operators.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Commercial EV Fleet Analytics market. Short-term disruptions in vehicle production and fleet expansion slowed analytics deployments. However, the surge in e-commerce and last-mile delivery increased demand for efficient, data-driven fleet management. Motivated by the need to reduce operating costs and enhance resilience, fleet operators accelerated digital adoption post-pandemic. This shift strengthened long-term demand for analytics solutions supporting electric commercial fleets.

The fleet performance analytics segment is expected to be the largest during the forecast period

The fleet performance analytics segment is expected to account for the largest market share during the forecast period, resulting from its direct impact on operational efficiency. These solutions provide insights into vehicle utilization, battery degradation, and energy efficiency. Driven by the need to maximize uptime and minimize maintenance costs, fleet operators prioritize performance analytics. Their ability to deliver actionable KPIs and predictive maintenance alerts reinforces widespread adoption across logistics, public transport, and corporate fleets.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate, propelled by scalability, real-time data access, and lower upfront costs. Cloud platforms enable centralized monitoring of geographically dispersed EV fleets and seamless integration with charging infrastructure. Spurred by advancements in IoT connectivity and AI analytics, cloud-based deployment supports rapid feature updates and data-driven optimization. These advantages drive strong CAGR compared to on-premise alternatives.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid electrification of commercial fleets in China, India, and Southeast Asia. Government mandates, subsidies, and urban air quality initiatives accelerate EV adoption. Supported by large logistics networks and high commercial vehicle volumes, demand for fleet analytics remains strong. The region's expanding digital infrastructure further supports large-scale deployment of analytics platforms.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with advanced fleet digitalization and strong investment in EV infrastructure. Fleet operators in logistics, retail, and public transit increasingly adopt analytics to manage electrified assets efficiently. Fueled by federal incentives, corporate sustainability goals, and rapid cloud adoption, demand continues to rise. The presence of leading analytics and EV technology providers further accelerates regional market growth.

Key players in the market

Some of the key players in Commercial EV Fleet Analytics Market include Geotab Inc., Verizon Connect, Trimble Inc., Samsara Inc., Teletrac Navman, ChargePoint Holdings, Inc., Siemens AG, ABB Ltd., IBM Corporation, Oracle Corporation, SAP SE, Fleet Complete, Webfleet Solutions, Targa Telematics and Zonar Systems, Inc.

Key Developments:

In November 2025, ChargePoint expanded its fleet analytics suite, integrating charging infrastructure data with vehicle telematics, providing commercial operators with actionable insights to optimize charging schedules, reduce peak demand costs, and improve fleet uptime.

In October 2025, Siemens introduced AI-driven EV fleet analytics integrated with smart grid platforms, enabling predictive charging, load balancing, and fleet-wide energy optimization to support large-scale electrification of commercial transport systems.

In September 2025, ABB launched EV fleet analytics solutions combining charging infrastructure monitoring, predictive maintenance, and energy optimization, helping logistics companies reduce costs and improve sustainability through smarter electrification strategies.

Solutions Covered:

  • Fleet Performance Analytics
  • Battery Health Analytics
  • Route Optimization Analytics
  • Charging Infrastructure Analytics
  • Driver Behavior Analytics
  • Maintenance Analytics

Deployment Models Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid Deployment

Fleet Types Covered:

  • Last-Mile Delivery Fleets
  • Public Transportation Fleets
  • Logistics & Freight Fleets
  • Corporate EV Fleets

Vehicle Types Covered:

  • Electric Vans
  • Electric Trucks
  • Electric Buses

End Users Covered:

  • Logistics & E-Commerce Companies
  • Public Transit Authorities
  • Corporate Enterprises
  • Ride-Hailing & Mobility Service Providers
  • Municipal & Government Fleets
  • Utility & Energy Service Providers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Commercial EV Fleet Analytics Market, By Solution

  • 5.1 Introduction
  • 5.2 Fleet Performance Analytics
  • 5.3 Battery Health Analytics
  • 5.4 Route Optimization Analytics
  • 5.5 Charging Infrastructure Analytics
  • 5.6 Driver Behavior Analytics
  • 5.7 Maintenance Analytics

6 Global Commercial EV Fleet Analytics Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premise
  • 6.4 Hybrid Deployment

7 Global Commercial EV Fleet Analytics Market, By Fleet Type

  • 7.1 Introduction
  • 7.2 Last-Mile Delivery Fleets
  • 7.3 Public Transportation Fleets
  • 7.4 Logistics & Freight Fleets
  • 7.5 Corporate EV Fleets

8 Global Commercial EV Fleet Analytics Market, By Vehicle Type

  • 8.1 Introduction
  • 8.2 Electric Vans
  • 8.3 Electric Trucks
  • 8.4 Electric Buses

9 Global Commercial EV Fleet Analytics Market, By End User

  • 9.1 Introduction
  • 9.2 Logistics & E-Commerce Companies
  • 9.3 Public Transit Authorities
  • 9.4 Corporate Enterprises
  • 9.5 Ride-Hailing & Mobility Service Providers
  • 9.6 Municipal & Government Fleets
  • 9.7 Utility & Energy Service Providers

10 Global Commercial EV Fleet Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Geotab Inc.
  • 12.2 Verizon Connect
  • 12.3 Trimble Inc.
  • 12.4 Samsara Inc.
  • 12.5 Teletrac Navman
  • 12.6 ChargePoint Holdings, Inc.
  • 12.7 Siemens AG
  • 12.8 ABB Ltd.
  • 12.9 IBM Corporation
  • 12.10 Oracle Corporation
  • 12.11 SAP SE
  • 12.12 Fleet Complete
  • 12.13 Webfleet Solutions
  • 12.14 Targa Telematics
  • 12.15 Zonar Systems, Inc.

List of Tables

  • Table 1 Global Commercial EV Fleet Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Commercial EV Fleet Analytics Market Outlook, By Solution (2024-2032) ($MN)
  • Table 3 Global Commercial EV Fleet Analytics Market Outlook, By Fleet Performance Analytics (2024-2032) ($MN)
  • Table 4 Global Commercial EV Fleet Analytics Market Outlook, By Battery Health Analytics (2024-2032) ($MN)
  • Table 5 Global Commercial EV Fleet Analytics Market Outlook, By Route Optimization Analytics (2024-2032) ($MN)
  • Table 6 Global Commercial EV Fleet Analytics Market Outlook, By Charging Infrastructure Analytics (2024-2032) ($MN)
  • Table 7 Global Commercial EV Fleet Analytics Market Outlook, By Driver Behavior Analytics (2024-2032) ($MN)
  • Table 8 Global Commercial EV Fleet Analytics Market Outlook, By Maintenance Analytics (2024-2032) ($MN)
  • Table 9 Global Commercial EV Fleet Analytics Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 10 Global Commercial EV Fleet Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 11 Global Commercial EV Fleet Analytics Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 12 Global Commercial EV Fleet Analytics Market Outlook, By Hybrid Deployment (2024-2032) ($MN)
  • Table 13 Global Commercial EV Fleet Analytics Market Outlook, By Fleet Type (2024-2032) ($MN)
  • Table 14 Global Commercial EV Fleet Analytics Market Outlook, By Last-Mile Delivery Fleets (2024-2032) ($MN)
  • Table 15 Global Commercial EV Fleet Analytics Market Outlook, By Public Transportation Fleets (2024-2032) ($MN)
  • Table 16 Global Commercial EV Fleet Analytics Market Outlook, By Logistics & Freight Fleets (2024-2032) ($MN)
  • Table 17 Global Commercial EV Fleet Analytics Market Outlook, By Corporate EV Fleets (2024-2032) ($MN)
  • Table 18 Global Commercial EV Fleet Analytics Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 19 Global Commercial EV Fleet Analytics Market Outlook, By Electric Vans (2024-2032) ($MN)
  • Table 20 Global Commercial EV Fleet Analytics Market Outlook, By Electric Trucks (2024-2032) ($MN)
  • Table 21 Global Commercial EV Fleet Analytics Market Outlook, By Electric Buses (2024-2032) ($MN)
  • Table 22 Global Commercial EV Fleet Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global Commercial EV Fleet Analytics Market Outlook, By Logistics & E-Commerce Companies (2024-2032) ($MN)
  • Table 24 Global Commercial EV Fleet Analytics Market Outlook, By Public Transit Authorities (2024-2032) ($MN)
  • Table 25 Global Commercial EV Fleet Analytics Market Outlook, By Corporate Enterprises (2024-2032) ($MN)
  • Table 26 Global Commercial EV Fleet Analytics Market Outlook, By Ride-Hailing & Mobility Service Providers (2024-2032) ($MN)
  • Table 27 Global Commercial EV Fleet Analytics Market Outlook, By Municipal & Government Fleets (2024-2032) ($MN)
  • Table 28 Global Commercial EV Fleet Analytics Market Outlook, By Utility & Energy Service Providers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.