Top Five Mobile Robotics Trends Shaping the Industry

Mobile robotics keeps growing across manufacturing, warehousing, and logistics, but the industry’s landscape is turbulent, and growth is not without challenges. Original equipment manufacturers (OEMs) can now offer customers more form factors at a lower cost, and more companies are buying autonomous mobile robots (AMRs) and automated guided vehicles (AGVs). Simultaneously, roughly one in three AMR projects fail, and many suppliers face project difficulties, consolidation, acquisitions and even business failures.

Drawing insight from hundreds of projects delivered across more than 15 countries, mobile robotics expert Javier Miguélez shared his insights on navigating these complexities at ZAPI GROUP's Future of Electrification 2026 virtual conference. To help OEMs understand the practical realities shaping mobile robotics adoption today and in the future, Miguélez outlined five key trends influencing how manufacturers, logistics operators, and automation providers approach automation investments this year and beyond.

1. The Biggest Barrier to Growth Is Adoption, Not Technology

Technological capabilities and the significant customer investment required for cutting-edge innovation were previously the most significant barriers to mobile robotics’ growth. However, the paradigm has begun to shift recently, and OEMs need to recognize that their customers’ education, knowledge and readiness haven’t kept pace with industry developments. Overcoming this new barrier will require OEMs to actively help guide and prepare customers.

Too often, organizations start evaluating AGVs and AMRs without first understanding their own automation objectives. Premature evaluations are driven by the hype and attention mobile robots receive across the industry, but this also leads companies to get excited about a ‘solution’ without realizing they haven’t identified the problem it’d solve.​

Companies can also lack the process measurement capabilities needed to clearly define the problem even if they have some understanding of it. For example, customers commonly know how many forklift drivers they employ, but it’s not uncommon for them to be unable to accurately measure logistics performance, such as quantifying how many pallets they move per hour. Further, while decreasing costs make more customers able to invest in robots, they also lead more companies to begin mobile robotics projects before they’ve prepared their operations to support them.

Foundational Technology Infrastructure Is Needed to Support Adoption

Customer implementations of foundational technology infrastructure, such as warehouse management systems (WMS), will be necessary to gather relevant operational data. For this reason, they should be considered prerequisites for an AMR or AGV project. Successful automation begins with the process visibility and operational discipline that these platforms help achieve, as any process must first be thoroughly understood and optimized before it’s automated. Otherwise, the best result is rapid inefficiency, and the worst results may cause tangled operations brought to a halt, fleet collisions, or the loss of a substantial investment. Never automate waste.​

Instead, OEMs and their customers must first determine the company’s ‘why’, ‘what’ and ‘when’ before evaluating an AMR or AGV project: Why does the company want automation? What operational challenge will they solve? Are processes automation-ready, and if not, when will they be?

​Depending on the answers, OEMs may also need to ask themselves ‘how’: How can we help customers become automation-ready? Future market growth will increasingly depend on an OEM’s ability to answer this question.

2. Service, Availability and Stability Are Becoming the Industry's Most Important Differentiators

While growth will depend on OEMs’ ability to help customers optimize their own processes and become automation-ready, OEMs won’t achieve market leadership without excelling across three criteria: availability, service and stability.

Robot Availability

Mobile robots must operate reliably in real-world production environments, maintaining high availability of 98% or greater. Projects implementing low-cost robots that provide poor availability result in significant downtime, causing operational problems and diminishing the return on investment (ROI). Ongoing servicing costs will eventually eliminate any initial savings from a lower-cost robotics investment.

To maximize availability, OEMs must build robots from proven hardware and software. Extensive field testing will also be needed to ensure robots meet the application’s most rigorous duty cycles and operating environments.

OEM Service

Even robots with 98% or greater availability will eventually require servicing or repair. The advance warnings provided via telematics data enable fleet technicians to schedule predictive maintenance and software updates, minimizing operational impact. However, corrective maintenance, system expansions, damage, layout changes, route modifications or other complex alterations and repairs will require OEMs to support ongoing, rapid-response servicing long after the project’s initial installation.

Stability

Customers are cautious to commit because of the mobile robotics landscape’s turbulence, which is continually amplified by the frequent acquisitions, consolidations, company closures and vendor instability. They need confidence that OEMs and their suppliers will continue operating years after their project’s deployment to maintain service and parts availability. As a result, customers increasingly select robotics partners based on long-term operational support rather than initial purchase price.

3. Mobile Robotics Success Depends on Repeatable, Standardized Deployments

OEMs can boost customer confidence by accomplishing repeatable and standardized robotics deployments, as they minimize implementation risk, accelerate deployment, simplify scaling and deliver more predictable ROI. Additionally, mobile robotics’ reliance on AI decision-making makes unique deployments exponentially harder to automate, as optimizing for a single environment will involve some trial and error while using a smaller sample size.

For these reasons, the strongest projects for OEMs to pursue are multi-facility companies that can ‘copy/paste’ the original deployment as many times as needed. For example, automotive manufacturing involves repeated transportation of materials to assembly lines, standardized workflows and proven deployment models. Similarly, the repeated processes of picking inventory and transporting it through a consistent operating environment also make for strong deployments in e-commerce, warehousing and material handling. The future of mobile robotics growth may be driven more by replicating proven applications than by developing entirely new use cases.

4. First-Time Project Success Is Critical for Long-Term Automation Adoption

The success or failure of a company's first mobile robotics project often determines whether it will continue investing in automation. Given the considerable investment and commitment needed for the initial deployment, struggles with overly complex projects or underwhelming performance could steer customers away for years, or even a decade. Moreover, with customer confidence such a crucial factor in vendor selection, significant deployment problems could affect OEMs’ reputations and jeopardize other projects, whether they’re still in negotiation or soon to begin.

Simple projects, isolated processes and clearly defined workflows offer the best potential to achieve deployment success. Once operational and success is established, OEMs and customers can collaborate again, gradually scaling the processes through phased implementation. The project will also continually demonstrate the efficiency improvements and ROI, providing a ‘living case study’ that encourages further investment.

Avoid Complexity and Mixed Fleet Challenges

OEMs should avoid overly complex projects intended as initial deployments or for inexperienced companies. Mixed fleet operations that combine manual vehicles, forklifts and AMRs or AGVs within the same environment will prove especially challenging. These projects introduce traffic management complexity, robot-human interactions and operational unpredictability that all magnify risk for even the most experienced OEMs.

Human Acceptance Affects Project Success

It’s crucial for companies intending to introduce mobile robots that they involve the workforce early in the project, explain goals, and let end users participate in planning and implementation. Employees will be more likely to support the project and provide the user buy-in needed for success if they understand it.

5. AI Will Primarily Accelerate Deployment and Implementation

Current installation processes for mobile robot fleets and their infrastructure remain very time-consuming and resource-intensive. However, AI’s impact on deployment is already beginning. OEMs will begin reducing deployment time, configuration effort and installation complexity in the next few years by leveraging AI capabilities, which are expected to rapidly improve during that time.

For example, AI will likely significantly simplify commissioning, enabling OEMs to continue the robotics trend of cost reduction and further expand deployment opportunities. Moreover, capabilities will move further toward longer-term possibilities, such as robots that can configure or deploy themselves. Rather than creating entirely new form factors or applications, AI may first unlock growth by making mobile robotics easier, faster, and less complex to deploy.

Mobile Robotics Continues Toward Operational Maturity

Robots are traditionally associated with ‘futuristic’ technology, but today’s market exhibits less hype over new form factors or the next technological breakthrough. Instead, the trends currently shaping mobile robotics indicate the industry’s shift from experimentation toward operational maturity, which also reflects electrification’s broader evolution.

Decreased hype for breakthrough technologies hasn’t diminished customers’ excitement for mobile robotics. However, this excitement can outpace their preparedness, requiring OEMs to work with customers to first improve their education, knowledge and readiness before starting projects. Prepared companies will evaluate potential partners on availability, service, and supplier stability to maximize their investment.

If customers are starting their first robotics project, their long-term adoption will depend on its success. Therefore, OEMs should prioritize isolated processes and clearly defined workflows. Rather than trying to automate complex projects, OEMs can build on these focused implementations in phases, with repeatable, standardized deployments often driving their success. Leveraging AI’s improving capabilities will be instrumental in reducing project complexity and further shortening timelines.

Rather than breakthrough technologies, OEMs’ long-term success increasingly depends on reliability, scalability, and customer outcomes. The future of robotics will be shaped by deployment excellence.