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1904576

商用電動車隊分析市場預測至2032年：按解決方案、部署模式、車隊類型、車輛類型、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球商用電動車隊分析市場規模將達到 1,008 億美元，到 2032 年將達到 3,869 億美元，預測期內複合年成長率為 18.3%。

商用電動車隊分析是指利用數據驅動平台和人工智慧工具來監控、最佳化和管理電動車隊。這包括電池健康狀況、充電週期、路線效率、消費量和預測性維護。透過整合遠端資訊處理、物聯網感測器和雲端儀錶板，車隊營運商可以獲得可操作的洞察，從而降低成本、提高運轉率並增強永續性。對於正在向電動出行解決方案轉型的物流、公共運輸和配送公司而言，此分析架構至關重要。

商用車快速電氣化

燃油價格波動和嚴格的排放目標正在推動商用車快速電氣化，這成為商用電動車隊分析市場的主要成長要素。車隊營運商正在加速採用電動貨車、巴士和卡車，推動了對能夠監控車輛性能、電池狀況和消費量的分析平台的需求。在政府補貼和企業永續性措施的推動下，數據驅動的車隊智慧對於最大限度地提高車輛運轉率、延長資產壽命和降低整體擁有成本至關重要。

充電基礎設施不足

充電基礎設施不足仍然是一大限制因素，尤其對於跨地域運作的大型商用電動車隊而言更是如此。公共充電網路和充電站網路的不足，使得路線規劃和運轉率最佳化變得更加複雜。受基礎設施部署不平衡和電網容量有限的影響，車隊分析解決方案面臨數據短缺和營運效率降低的問題。這些限制因素增加了停機風險，並阻礙了車隊運營商全面實現資產電氣化，儘管長期需求強勁，但分析解決方案的普及速度仍然緩慢。

車隊成本最佳化分析的需求

對車隊成本最佳化分析日益成長的需求，為商用電動車隊分析市場帶來了巨大的機會。先進的分析技術能夠幫助營運商最佳化充電計劃、降低能源成本並改善駕駛員行為。物流和運輸業電費上漲和利潤率下降，促使車隊越來越依賴預測分析來降低營運成本。人工智慧驅動的預測分析與情境建模的融合，進一步提升了決策能力，為提供以金額為準、以投資回報率為核心的解決方案的分析服務提供者創造了強勁的發展機會。

資料安全與網路風險

商用電動車隊會產生大量的敏感營運數據，這使得數據安全和網路風險成為市場成長的重大威脅。車隊分析平台依賴車輛、充電器和雲端系統之間的即時連接，這增加了它們遭受網路攻擊的風險。資料外洩和勒索軟體事件的不斷增加，加劇了安全隱患，並可能限制其普及應用。監管合規要求和資料遺失的潛在責任進一步增加了分析供應商和車隊營運商面臨的風險。

新冠疫情的影響

新冠疫情對商用電動車隊分析市場產生了複雜的影響。短期內，車輛生產和車隊擴張的中斷延緩了分析系統的應用。然而，電子商務和最後一公里配送的激增提升了對高效率、數據驅動型車隊管理的需求。在降低營運成本和增強韌性的驅動下，車隊營運商在疫情後加快了數位轉型。這一轉變進一步鞏固了對支援電動商用車隊的分析解決方案的長期需求。

預計在預測期內，車隊性能分析細分市場將佔據最大的市場佔有率。

由於車隊性能分析對營運效率有直接影響，預計在預測期內，該細分市場將佔據最大的市場佔有率。這些解決方案能夠提供車輛利用率、電池劣化和能源效率等方面的洞察。為了最大限度地運作並最大限度地降低維護成本，車隊營運商正在優先考慮性能分析。其提供可操作的關鍵績效指標 (KPI) 和預測性維護警報的能力，正在推動其在物流、公共交通和企業車隊中的廣泛應用。

預計在預測期內，雲端細分市場將實現最高的複合年成長率。

預計在預測期內，雲端解決方案將實現最高成長率，這主要得益於其可擴展性、即時資料存取和更低的初始成本。雲端平台能夠集中監控地理位置分散的電動車隊，並與充電基礎設施無縫整合。隨著物聯網連接和人工智慧分析技術的進步，雲端部署支援快速的功能更新和數據驅動的最佳化。與本地部署解決方案相比，這些優勢將推動雲端解決方案實現更高的複合年成長率。

比最大的地區

預計亞太地區將在預測期內佔據最大的市場佔有率，這主要得益於中國、印度和東南亞商用車的快速電氣化。政府推出的法規、補貼以及改善都市區空氣品質的措施正在加速電動車的普及。大規模的物流網路和大量的商用車將支撐車隊分析的強勁需求。該地區不斷擴展的數位基礎設施也將進一步推動分析平台的廣泛應用。

預計年複合成長率最高的地區

在預測期內，北美預計將實現最高的複合年成長率，這主要得益於先進的車隊數位化和對電動車基礎設施的大力投資。物流、零售和公共運輸領域的車隊營運商正擴大採用分析技術來有效管理其電動資產。在聯邦政府獎勵、企業永續性目標以及雲端運算快速普及的推動下，市場需求持續成長。領先的分析和電動車技術供應商的存在也進一步促進了區域市場的成長。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球商用電動車隊分析市場（依解決方案分類）

  • 車隊性能分析
  • 電池健康分析
  • 路線最佳化分析
  • 充電基礎設施分析
  • 駕駛行為分析
  • 維護分析

6. 全球商用電動車隊市場按車型分類的分析

  • 基於雲端的
  • 本地部署
  • 混合

7. 全球商用電動車隊市場分析（依車隊類型分類）

  • 最後一公里配送車隊
  • 公共運輸工具
  • 物流和貨運車隊
  • 企業電動車隊

8. 全球商用電動車隊市場分析（依車輛類型分類）

  • 電動貨車
  • 電動卡車
  • 電動巴士

9. 全球商用電動車隊分析市場（依最終用戶分類）

  • 物流與電子商務公司
  • 公共運輸
  • 公司
  • 叫車旅遊服務供應商
  • 市政和政府車隊
  • 公共產業能源服務供應商

第10章 全球商用電動車隊市場區域分析

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • 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.