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Fleet Management Market to Grow by USD 52.23 Billion from 2025-2029, Driven by E-Commerce and Last-Mile Delivery with AI-Powered Market Evolution – Technavio

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NEW YORK, Jan. 13, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global fleet management market  size is estimated to grow by USD 52.23 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  15.6%  during the forecast period. Rise in e-commerce and last-mile delivery is driving market growth, with a trend towards increasing adoption of telematics and autonomous vehicles. However, issues in gps connectivity  poses a challenge. Key market players include AT and T Inc., Avrios International AG, Bridgestone Corp., Chevin Fleet Solutions, Donlen Corp., Element Fleet Management Corp., Fleetio, Geotab Inc., GPS Insight, GURTAM, Holman Inc., MiX Telematics Ltd., Motive Technologies Inc., NetraDyne Inc., Samsara Inc., Solera Holdings LLC, JSC Teltonika, TomTom NV, Trimble Inc., Verizon Communications Inc., Via Transportation Inc., and Vontier Corp..

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Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Type (Subscription and Others), Vehicle Type (Commercial fleet and Passenger car), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

AT and T Inc., Avrios International AG, Bridgestone Corp., Chevin Fleet Solutions, Donlen Corp., Element Fleet Management Corp., Fleetio, Geotab Inc., GPS Insight, GURTAM, Holman Inc., MiX Telematics Ltd., Motive Technologies Inc., NetraDyne Inc., Samsara Inc., Solera Holdings LLC, JSC Teltonika, TomTom NV, Trimble Inc., Verizon Communications Inc., Via Transportation Inc., and Vontier Corp.

Key Market Trends Fueling Growth

Fleet management is a crucial aspect of transportation and logistics industries, helping fleet owners and managers optimize operational efficiency and reduce overhead costs. Trends in fleet management include routing and navigation solutions using GPS connectivity and services like Google Maps and satellite technology to overcome natural barriers. Fleet performance and fuel costs are key concerns, with fleet management solutions offering real-time visibility into vehicle location, driver behavior, and performance. Driver safety is another priority, with tools for scheduling, geofencing, and advanced routing to improve safety and reduce accidents. Fleet management systems also provide maintenance management, fuel management, and driver management features. Commercial vehicles, from light to heavy, are being transformed through connected vehicles, autonomous fleets, and fleet management software. Fleet management market growth is driven by the logistics industry’s need for increased efficiency and safety. Fleet size, logistic providers, and transportation enterprises all benefit from fleet management tools, which include hardware, software, and services. Asset management systems and solutions are also essential for financial tracking and inventory storage. Federal rules, such as electronic logging and the use of electronic logging devices, are shaping the fleet management landscape. The deployment of 5G and the Internet of Things is further revolutionizing fleet management, enabling real-time data processing and automation. Vehicle leasing companies, allied carriers, shippers, and freight and logistics providers are all adopting fleet management solutions to streamline their operations and stay competitive during the holiday shopping season and beyond. 

The telematics industry took off with the advent of 2G telecommunication systems and GPS-based positioning, enabling the sharing of vehicle location details. Commercial vehicles now mandatorily use GPS navigation systems. The rise in autonomous vehicle investments will boost the adoption of sensors, connectivity devices, and network components. The increasing number of electronic control units, sensors, and wiring in autonomous vehicles necessitates a substantial amount of semiconductor components like sensors and integrated circuits (ICs). Self-driving cars rely on information from a connected car network and IoT for navigation. 

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Market Challenges

Fleet management is a crucial aspect for transportation and logistics industries, helping fleet managers optimize operational efficiency and ensure safety. Challenges include routing, vehicle security, driver safety, fleet vehicle performance, fuel costs, and overhead costs. Fleet management solutions offer real-time visibility through GPS connectivity and navigation services like Google Maps and satellites. However, natural barriers and GPS signal disruptions can affect performance. Fleet owners face issues with fleet size, scheduling, and managing driver behavior. Advanced routing and geocoding help optimize routes, reducing fuel costs and distance traveled. Fleet management tools include hardware and software solutions for fuel management, maintenance management, and driver management. The fleet management market caters to commercial vehicles, from light to heavy, and connected vehicles. Logistics providers and transportation enterprises are transforming through automation, the Internet of Things, and 5G deployment. Asset management systems and financial solutions provide real-time tracking and monitoring for fleet vehicles, containers, and interconnected devices. Fleet management software offers on-premises and cloud-based solutions for car fleets, freight and logistics, and electronic logging. Fleet operators must comply with federal rules, including electronic logging devices. The holiday shopping season and last-mile delivery add to the complexity of fleet management. Vehicle leasing companies and allied carriers also benefit from fleet management solutions.The global fleet management market relies heavily on connectivity for real-time tracking and monitoring of vehicles. This requires a satellite and cellular communication network infrastructure. However, connectivity issues pose a significant challenge, particularly in areas with poor Internet infrastructure or weak cellular coverage. Suburban areas, highways, and some developing countries experience connectivity weaknesses. Moreover, remote mining locations often lack cellular connectivity. Ensuring reliable and high-speed Internet access is crucial for effective fleet management.

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Segment Overview

This fleet management market report extensively covers market segmentation by

Type 1.1 Subscription1.2 OthersVehicle Type2.1 Commercial fleet2.2 Passenger carGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Subscription-  Subscription-based fleet management solutions enable businesses to effectively manage their commercial fleets and personal vehicles with ease. These services offer flexibility in scaling services based on current needs, ensuring predictable and consistent costs for financial planning. Cloud-based systems require minimal hardware setup for quick deployment and include access to regular updates, new features, and improvements, ensuring access to the latest technologies. Integrated solutions offer features such as GPS tracking, telematics, fuel management, and maintenance tracking, streamlining fleet management processes. Subscription models from vendors like Azuga Inc. Provide real-time functions, sync with fleet management software, and allow unlimited users with customizable access levels. The growing demand for efficient fleet management and optimization has led to a strong presence of subscription offerings in the market, making this segment a significant contributor to the global fleet management market’s growth during the forecast period.

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Research Analysis

Fleet management refers to the efficient overseeing of fleet vehicles, including commercial vehicles such as cars, light commercial vehicles, and heavy commercial vehicles. Fleet managers utilize fleet management solutions to optimize routing, ensure vehicle security, and promote driver safety. Real-time GPS connectivity and fleet management tools help monitor fleet performance, track distance traveled, and manage fuel costs. Driver behavior analysis and maintenance management are crucial components to minimize overhead costs and enhance fleet efficiency. Fuel management, weight/volume tracking, and automation through the Internet of Things and connected vehicles are also integral aspects of modern fleet management systems. Freight and logistics operators benefit significantly from these advanced solutions, reducing operational costs and improving productivity. Autonomous vehicles are the future of fleet management, offering increased safety, efficiency, and cost savings.

Market Research Overview

The Fleet Management Market is a dynamic and growing industry that caters to the needs of fleet managers, fleet owners, and transportation enterprises. Fleet management solutions enable optimal routing, vehicle security, driver safety, and fleet performance. These solutions help in reducing fuel costs, tracking distance traveled, and monitoring driver behavior to minimize overhead costs. GPS connectivity plays a crucial role in fleet management, with satellites and natural barriers influencing GPS signal strength. Fleet management tools include hardware, software, and services for commercial vehicles, light commercial vehicles, and heavy commercial vehicles. The logistics industry, including logistic providers and transportation network, significantly benefits from fleet management solutions for operational efficiency and safety. Fleet management systems offer fuel management, maintenance management, and driver management features. The market is witnessing the transformation of the transportation industry with the integration of advanced technologies such as the Internet of Things, automation, and 5G deployment. Asset management systems and tracking solutions are also gaining popularity for financial and operational benefits. The holiday shopping season and freight and logistics industries put additional pressure on fleet management, making real-time visibility, scheduling, and advanced routing essential. Electronic logging and electronic logging devices are mandatory for compliance with federal rules. Vehicle leasing companies and vehicle tracking are also part of the fleet management ecosystem.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TypeSubscriptionOthersVehicle TypeCommercial FleetPassenger CarGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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