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Unparalleled Research on Robot Fleet Management Software Market With Current and Future Growth Analysis by Forecast From 2024 to 2031 | Omron, FORT Robotics, Geekplus, Boston Dynamics

05-21-2024 03:01 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: WMR

Robot Fleet Management Software Market

Robot Fleet Management Software Market

Market Overview:

Robot fleet management software enables organizations to manage a fleet of autonomous mobile robots (AMRs) for various applications such as transportation, delivery, logistics, inspection, and cleaning. It allows monitoring, tracking, and controlling robots autonomously or remotely.

Market Dynamics:

The robot fleet management software market is expected to witness significant growth over the forecast period owing to increasing demand for automation across industries and growing adoption of AMRs. Modern robot fleet management tools offer advanced functionalities like task scheduling, battery management, navigation assistance, route optimization, and fleet performance monitoring. They help improve operational efficiency by reducing downtime and ensuring effective utilization of robots. Additionally, rising need for remote asset monitoring and management during the ongoing COVID-19 pandemic is also contributing to the market growth.

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Market Opportunity :

Robot fleet management software currently provides basic monitoring, scheduling, and troubleshooting functions. However, as robot deployments scale to thousands of bots, the need for advanced analytics on robot performance data will rise. Vendors have an opportunity to integrate AI/machine learning capabilities that can derive deeper insights from large volumes of operational data. Some examples include predictive maintenance of bots, optimization of scheduling based on usage patterns, anomaly detection during process execution, and predictive capacity planning. Software providers can also incorporate conversational interfaces using natural language processing. This will make fleet management more intuitive for users without coding skills. By incorporating new technologies, vendors can offer augmented intelligence benefits and command premium pricing in the market.

Market Trend :

Emerging trend indicates that organizations want a unified platform to centrally manage their entire robot workforce consisting of both attended and unattended bots. Currently, many vendors offer separate products for RPA bot and intelligent automation management. But as scope of robotic tasks expands, there is growing need for an integrated view. Customers prefer a single console from where they can build, deploy, monitor and govern the entire automated portfolio. Vendors are responding by launching unified management suites that combine RPA, process mining, low-code development and integration capabilities on one platform. This holistic approach simplifies management and promotes reusability of assets. It also makes implementation and support more seamless. Over time, the market will increasingly transition towards unified platforms that provide end-to-end governance of all robotized processes within an organization.

Major Players Operating in the Robot Fleet Management Software Market:

Omron
FORT Robotics
Geekplus
Boston Dynamics
Meili Robots
PROVEN Robotics
G2P Robots
RMS
Hai Robotics
Hikrobot Technology
Mushiny
Addverb

On the basis of Types:

PC Terminal
Mobile Terminal

On the basis of Applications:

AMR
AGV
Others

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Increasing Adoption of Robotic Process Automation Driving the Demand for Fleet Management Software:

Robotic process automation (RPA) adoption is growing rapidly across various industries to automate repetitive and manual processes. RPA uses software robots or artificial intelligence (AI) workers to handle high-volume tasks. As more organizations are implementing RPA solutions, the need to efficiently manage and monitor robot fleets is also increasing. Fleet management software allows companies to centrally control, schedule, monitor, and optimize the performance of their robot workforces. These software solutions provide visibility into robot utilization and help troubleshoot any issues. They also enable role-based access to ensure robot tasks are performed as intended. With RPA expected to reduce operating costs and improve productivity, the demand for robot fleet management capabilities will continue to rise in the coming years.

Rise of Cloud Computing Accelerating Growth of Fleet Management Software:

Cloud technology has radically transformed how software is delivered and accessed. Cloud-based SaaS delivery model has become the most preferred deployment option since it eliminates upfront capital costs and provides flexibility. Robot fleet management software vendors are also shifting to cloud-native, multi-tenant SaaS platforms to gain scale and address a global customer base. Customers are attracted to the cloud model as it allows easy deployment, remote management capabilities, enhanced security, and automatic software updates. Public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud offer scalable infrastructure to support large robot fleets. This has reduced complexity and total cost of ownership for customers. The growing adoption of cloud-based solutions will sustain high demand for robot fleet management platforms.

Robot Fleet Management Software Market Restrain :

While robotic process automation provides significant long-term benefits, the initial investment required can be substantial for many organizations. Implementing an RPA program involves purchasing robotic software licenses, developing bot processes, integrating them with existing systems, and maintaining the robot infrastructure. Fleet management capabilities are an additional cost on top of basic RPA software. For small and mid-sized companies, high upfront expenses act as a major barrier for adoption. Even larger enterprises may hesitate to invest heavily until tangible ROI is demonstrated. Vendors focus on selling perpetual software licenses which further increase initial costs. If vendors can offer more flexible pricing models like pay-as-you-go subscriptions, it could help overcome the investment hurdle and accelerate market growth.

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