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Home ➤ Information and Communications Technology ➤ Mobile Robot Cybersecurity Market
Mobile Robot Cybersecurity Market
Mobile Robot Cybersecurity Market
Published date: Dec. 2025 • Formats:
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  • Home ➤ Information and Communications Technology ➤ Mobile Robot Cybersecurity Market

Global Mobile Robot Cybersecurity Market Size, Share Report Analysis By Component (Software, Hardware, Services), By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security, Others), By Robot Type (Autonomous Mobile Robots, Automated Guided Vehicles, Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Others), By Application (Manufacturing, Healthcare, Logistics & Warehousing, Defense & Security, Retail, Agriculture, Others), By Regional Analysis, Global Trends and Opportunity, Future Outlook By 2025-2034

  • Published date: Dec. 2025
  • Report ID: 171019
  • Number of Pages: 304
  • Format:
  • Overview
  • Table of Contents
  • Major Market Players
  • Request a Free Sample
  • Quick Navigation

    • Report Overview
    • Key Takeaway
    • Vulnerability and Attack Statistics
    • Adoption Context
    • Role of Generative AI
    • U.S. Market Size
    • Component Analysis
    • Security Type Analysis
    • Robot Type Analysis
    • Application Analysis
    • Investment and Business Benefits
    • Emerging Trends
    • Growth Factors
    • Key Market Segments
    • Drivers
    • Restraint
    • Opportunities
    • Challenges
    • Key Players Analysis
    • Recent Developments
    • Report Scope

    Report Overview

    The Global Mobile Robot Cybersecurity Market size is expected to be worth around USD 40.52 billion by 2034, from USD 3.25 billion in 2024, growing at a CAGR of 28.7% during the forecast period from 2025 to 2034. North America held a dominant market position, capturing more than a 33.8% share, holding USD 1.09 billion in revenue.

    The mobile robot cybersecurity market focuses on protecting autonomous and semi-autonomous mobile robots from cyber threats that could disrupt operations, compromise data, or create safety risks. Mobile robots such as autonomous mobile robots, automated guided vehicles, drones, and service robots rely heavily on software, wireless communication, sensors, and cloud connectivity. As these robots operate in dynamic environments and interact closely with people, systems, and networks, cybersecurity has become a core requirement rather than an optional feature.

    Mobile Robot Cybersecurity Market

    Top driving factors for mobile robot cybersecurity include the rapid spread of autonomous and semi-autonomous robots in operations that cannot afford disruption. As robots handle goods, medical supplies, and tools, a single breach can stop production or harm people nearby. Tighter links between robots and planning systems also raise the risk that attackers move from one system to another. High-visibility incidents in industrial settings have made leadership more aware of operational and safety impacts.

    The market for Mobile Robot Cybersecurity is driven by the rapid spread of autonomous mobile robots in warehouses, factories, and hospitals, which increases the number of connected endpoints that must be protected. As industrial operators report sharp growth in ransomware and other attacks on operational technology, buyers are prioritizing security monitoring, faster patching, and incident response to avoid downtime and safety risks.

    For instance, in March 2025, Siemens AG teamed with Roboverse Reply on AI-driven mobile robot inspections via the COMOS app, adding anomaly detection and AR overrides for safe factory sweeps. This Frankfurt-Waltham mashup automates maintenance while spotting cyber weak spots early.

    Key Takeaway

    • In 2024, the hardware segment led the market with a 58.6% share.
    • In 2024, network security solutions accounted for 40.4% of total adoption.
    • In 2024, autonomous mobile robots represented 42.7% of demand.
    • In 2024, the manufacturing sector contributed 36.9% of market usage.
    • In 2024, the U.S. market showed strong expansion with a 25.6% growth rate.
    • In 2024, North America held over 33.8% of the global share.

    Vulnerability and Attack Statistics

    • Software weaknesses account for 92.6% of identified robot security threats.
    • Software is proving to be a higher risk than hardware in robotic systems.
    • Studies on popular autonomous mobile robots found over 100 security flaws.
    • Only 14 of these flaws have been publicly disclosed.
    • Fuzzing-based attacks have achieved up to 93.3% success in manipulating robot behavior.
    • Sensor data manipulation remains a major entry point for attacks.
    • Past cyber-physical attacks affected nearly 100,000 systems across 155 countries.
    • Transport infrastructure has also been disrupted at a city-wide scale in prior incidents.

    Adoption Context

    • Around 36.83 million robots were operating globally in 2024.
    • Service robots represent 98.9% of the total operational base.
    • More than 51% of companies plan to adopt robotic technologies before 2027.
    • This expansion is increasing the overall digital exposure of robotic fleets.
    • Sales of service robots for logistics and transport grew by 44% in a single year.
    • Over 86,000 logistics-focused service robots were sold worldwide during that period.

    Role of Generative AI

    Generative AI builds mock attack simulations to sharpen robot defenses, training systems on diverse threats before they strike. It scans sensor logs for odd patterns, alerting teams faster than manual reviews. In practice, 47% of robotics teams integrate these tools for round-the-clock vigilance on mobile units. This method strengthens responses to evolving hacks in connected environments. Coders also use it to craft secure patches for navigation code, closing gaps quickly. Overall, it turns defense into a proactive shield.​

    The tech mimics hacker tactics to test fleet resilience, exposing flaws in real-world setups. Factories report 58% adoption for such training amid networked growth. It generates threat models tailored to robot paths, improving block rates on intrusions. This hands-on prep builds confidence in daily ops. Simple integration with existing monitors makes it practical for most sites.

    U.S. Market Size

    The market for Mobile Robot Cybersecurity within the U.S. is growing tremendously and is currently valued at USD 0.95 billion, the market has a projected CAGR of 25.6%. The market expands due to the rapid adoption of autonomous robots in factories and warehouses, where connected systems face rising cyber threats like data theft and remote hijacks.

    Strict regulations push firms to embed defenses early, while partnerships between robot makers and security experts speed up secure deployments. Heavy investments in AI-driven protections meet demands from manufacturing hubs seeking zero downtime. This blend of tech advances and risk awareness fuels steady growth.

    For instance, in April 2025, Rockwell Automation, Inc. launched the Security Monitoring and Response service, offering 24/7 real-time threat detection for OT environments powering autonomous mobile robots. This Milwaukee-based innovation integrates seamlessly to combat rising cyber risks, enabling resilient manufacturing with rapid response capabilities and bridging skills gaps for U.S. industrial dominance.

    US Mobile Robot Cybersecurity Market

    In 2024, North America held a dominant market position in the Global Mobile Robot Cybersecurity Market, capturing more than a 33.8% share, holding USD 1.09 billion in revenue. This dominance stems from widespread robot deployment in manufacturing and logistics hubs, coupled with strict data protection laws that mandate robust defenses.

    Factories here integrate cybersecurity from the design phase to counter IoT vulnerabilities and rising hacks on autonomous fleets. Tech investments and skilled teams enable quick adoption of network shields and hardware locks, ensuring smooth operations amid growing threats.

    For instance, in April 2025, Symbotic LLC earned the 2025 RBR50 Robotics Innovation Award for its BreakPack system, deploying AI-vision-enabled autonomous mobile robots with onboard cameras for secure teleoperations and error recovery in warehouses. Wilmington’s technology minimizes downtime through remote assistance, exemplifying North American advances in resilient robotic cybersecurity.

    Mobile Robot Cybersecurity Market Region

    Component Analysis

    In 2024, The Hardware segment held a dominant market position, capturing a 58.6% share of the Global Mobile Robot Cybersecurity Market. These parts include sensors, processors, and sturdy enclosures that process data right on the robot. In busy factories and warehouses, they face constant cyber risks from connected systems. Builders prioritize tough defenses here to stop attacks that could crash operations or steal info. Real-time work demands reliable shields against tampering.

    This focus makes sense as hardware sits at the front line of threats. Dust, impacts, and hacks test these components daily. Strong encryption and secure boot processes keep data flows safe. Teams update firmware often to patch holes. Without solid hardware security, entire robot fleets risk shutdowns. Demand stays high where uptime equals output.

    For Instance, in May 2025, Honeywell teamed up with Teradyne Robotics to roll out autonomous mobile robots packed with strong hardware security features. Their joint push targets warehouses where sensors and processors need built-in defenses against tampering. This move layers cybersecurity right into the physical components from the start, helping firms cut risks in daily material handling.

    Security Type Analysis

    In 2024, the Network Security segment held a dominant market position, capturing a 40.4% share of the Global Mobile Robot Cybersecurity Market. These links invite attacks such as data theft or remote control grabs. Firms add firewalls, intrusion detection, and encryption to guard fleet communications. Stable networks ensure smooth patrols without interruptions from bad actors.

    Daily operations lean on these measures as robots share routes and updates. Weak spots in Wi-Fi or 5G can spread malware fast across groups. Regular scans and segmented traffic block spread. This type fits growing wireless setups in logistics and plants. Security teams drill down on protocols to match rising connectivity.

    For instance, in May 2025, Check Point launched AI-powered appliances that boost network threat detection for hybrid robot setups. These tools manage more gateways with real-time scans, fitting IoT links in mobile robots. Teams now respond faster to attacks on wireless paths.

    Robot Type Analysis

    In 2024, The Autonomous Mobile Robots segment held a dominant market position, capturing a 42.7% share of the Global Mobile Robot Cybersecurity Market. Without constant human oversight, they need locked-down paths and firmware to dodge disruptions. Stockrooms rely on these bots for fast picks and moves, so security prevents hijacks that could crash paths or expose plans. Built-in checks verify commands before action, cutting downtime risks. This type leads due to its wide deployment.

    Self-driving features raise the bar for defense, as onboard brains process vast data streams. Regular scans hunt for malware that might alter routes or speeds. Teams train models to resist manipulation while keeping navigation sharp. Tight spaces amplify the need for flawless protection to avoid collisions or delays. Autonomous units thrive where flexibility matters, backed by robust safeguards that evolve with threats. They set the pace for market growth.

    Application Analysis

    In 2024, The Manufacturing segment held a dominant market position, capturing a 36.9% share of the Global Mobile Robot Cybersecurity Market. Linked machines create prime targets for attacks that could stall lines. Tailored defenses cover controls and networks to avoid data loss or sabotage. Output stays on track, meeting tight deadlines without costly pauses. This sector fuels a steady need for robust safeguards.

    Plants face round-the-clock pressure, so cyber layers blend with physical ones for full coverage. Motion systems get locked down to block false commands. Real-time alerts help teams respond before issues spread. Shared setups demand tight coordination across devices. These steps keep production humming and protect sensitive process info long-term.

    For Instance, in October 2025, Honeywell paired with Google Cloud to fortify manufacturing OT networks against rising attacks. Their tools use threat intel for proactive defenses on robot lines. Plants cut downtime by spotting issues in connected assembly flows.​

    Mobile Robot Cybersecurity Market Share

    Investment and Business Benefits

    Investment opportunities exist in robot-specific security software, secure fleet management platforms, threat detection tools, and managed cybersecurity services for robotics environments. There is growing interest in solutions tailored to different robot types and operating conditions. Opportunities are also emerging in security-by-design approaches, where cybersecurity is embedded directly into robot development and deployment processes.

    Mobile robot cybersecurity delivers clear business benefits by reducing operational risk, preventing costly downtime, and protecting sensitive data. Secure robots operate more reliably and inspire greater confidence among operators, partners, and end users. Strong cybersecurity also helps organizations scale robot deployments without increasing exposure to cyber threats. Over time, proactive security lowers maintenance costs and reduces the likelihood of major operational disruptions.

    Emerging Trends

    In the mobile robot cybersecurity market, a strong trend is the increasing integration of security protocols directly into robotic control systems. Rather than treating cybersecurity as an add-on, manufacturers and system integrators are embedding threat detection, encryption, and secure communication layers within robot firmware and network interfaces. This shift supports real time protection against unauthorized access and manipulation of control commands.

    Another clear trend involves the adoption of behavior analysis and anomaly detection techniques tailored to robotic operations. Mobile robots generate patterns of movement, sensor usage, and task execution that can be profiled over time. Security solutions are being developed to monitor deviations from expected behavior so that potential cyber threats can be identified before significant damage occurs.

    Growth Factors

    The growth of mobile robot cybersecurity is being driven by the expanding use of autonomous and semi autonomous robots across industries such as manufacturing, logistics, healthcare, and public service. As mobile robots become more common in environments where they interact with humans, systems, and infrastructure, the potential impact of cybersecurity incidents grows.

    Protecting operational continuity and safety becomes essential, which elevates the importance of specialized cybersecurity measures tailored for mobile robotics. Another factor supporting market expansion is the increasing connectivity of robotic systems with enterprise networks and cloud platforms.

    Mobile robots often rely on centralized orchestration, data analytics, or remote monitoring functions that extend beyond isolated control networks. This connectivity improves operational efficiency but also exposes robots to network based threats. Organizations are responding by investing in cybersecurity solutions that protect mobile robots at the device, network, and application levels to ensure data integrity and secure communication.

    Key Market Segments

    By Component

    • Software
    • Hardware
    • Services

    By Security Type

    • Network Security
    • Endpoint Security
    • Application Security
    • Cloud Security
    • Others

    By Robot Type

    • Autonomous Mobile Robots
    • Automated Guided Vehicles
    • Unmanned Aerial Vehicles
    • Unmanned Ground Vehicles
    • Others

    By Application

    • Manufacturing
    • Healthcare
    • Logistics & Warehousing
    • Defense & Security
    • Retail
    • Agriculture
    • Others

    Regional Analysis and Coverage

    • North America
      • US
      • Canada
    • Europe
      • Germany
      • France
      • The UK
      • Spain
      • Italy
      • Russia
      • Netherlands
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • South Korea
      • India
      • Australia
      • Singapore
      • Thailand
      • Vietnam
      • Rest of Latin America
    • Latin America
      • Brazil
      • Mexico
      • Rest of Latin America
    • Middle East & Africa
      • South Africa
      • Saudi Arabia
      • UAE
      • Rest of MEA

    Drivers

    Rising Robot Adoption

    The rapid adoption of mobile robotics across manufacturing, logistics, and healthcare is increasing the need for stronger cybersecurity frameworks. As robots handle material movement, deliveries, and inventory through cloud and 5G connectivity, the risk of cyber disruption and data exposure rises. Industry 4.0 initiatives are therefore driving investment in AI based monitoring systems that support real time threat detection and operational continuity.

    In sensitive sectors such as healthcare and logistics, even small security breaches can disrupt critical operations, pushing enterprises to prioritize resilient and compliant protection models. In May 2025, ABB partnered with Teradyne Robotics to deploy secure mobile robots for automated material transport, highlighting how built in cybersecurity is becoming a standard requirement as automation scales amid labor shortages.

    Restraint

    Integration Complexity

    One of the main challenges lies in integrating diverse robot platforms that use different communication protocols, operating systems, and control units. Security teams often struggle to create unified monitoring environments capable of covering multiple robot types. Without centralized control, security gaps can emerge between connected systems, exposing networks to unauthorized access or performance issues.

    Small and mid-sized companies face additional hurdles due to limited technical expertise and budget constraints. Managing updates, firmware patches, and compliance requirements across complex robot ecosystems places ongoing pressure on limited IT resources. This complexity slows deployment timelines and discourages wider adoption of mobile robots in fast-moving industries.

    For instance, in July 2025, Trend Micro uncovered a path traversal flaw in FANUC’s robot offline programming tool, CVE-2023-1864. Attackers could load malicious code onto controllers via integrators’ laptops. This exposes integration woes with varied robot software in factories. Firms delay rollouts to patch such gaps across fleets. Skill shortages worsen handling of these complex fixes.

    Opportunities

    New Tech Advances

    Emerging technologies such as artificial intelligence, edge computing, and machine learning present new possibilities for enhancing robot security. They enable localized data analysis, predictive anomaly detection, and faster response times without depending solely on cloud connectivity. Manufacturers can leverage these tools to design customized protection systems for specific industries, ranging from agriculture and construction to smart cities and advanced logistics.

    Regulatory developments in regions such as Europe and North America are also facilitating market entry for compliant, next-generation tools. Vendors focusing on cost-effective solutions are finding strong uptake in the Asia Pacific, where industrial automation is rapidly expanding. This combination of technology innovation and favorable regulation is fostering a dynamic environment for new product development and cross-sector partnerships.

    For instance, in March 2025, Fortinet grew its OT security platform to shield critical infrastructure, including mobile robots. New networking aids convergence of IT and OT defenses. Partnerships with Rockwell enable tailored solutions for robot-heavy sites. Vendors eye agriculture and cities with edge computing. Regulations boost demand for these advances.

    Challenges

    Evolving Attack Methods

    As mobile robots become more integrated into enterprise operations, they increasingly attract attention from cybercriminals using sophisticated attack techniques. Threats such as ransomware on robot networks, injection of false movement commands, and firmware manipulation can disrupt entire production lines. The use of open-source software components in robot systems adds further complexity, as hidden vulnerabilities can be exploited before patches are issued.

    The absence of global security standards makes it difficult to implement consistent protections across countries and robot models. Combined with a shortage of skilled cybersecurity professionals, companies struggle to defend against emerging threat vectors. These evolving risks require continuous monitoring, adaptive defense strategies, and workforce upskilling to maintain operational safety and data integrity.

    For instance, in August 2024, Symbotic bought Veo Robotics’ FreeMove for safer human-robot work, but faces evolving threats. Open-source vision systems risk firmware hacks in warehouses. Diverse AGV fleets lack standard defenses against ransomware. Cross-border ops amplify breach chances without global rules. Training gaps strain resources for constant updates.

    Key Players Analysis

    One of the leading players in May 2025, Honeywell and Teradyne Robotics announced a collaboration to deliver intelligent automation solutions across logistics and FMCG, explicitly bundling Teradyne’s autonomous mobile robots (via MiR) and cobots (Universal Robots) with Honeywell’s warehouse software and cybersecurity capabilities.

    The partnership positions cybersecurity as a built‑in layer for mobile robot deployments, ensuring that navigation systems, wireless controllers, and robot‑to‑cloud links are monitored and protected as companies scale fleets across North America and Europe.​

    Top Key Players in the Market

    • Honeywell International Inc.
    • ABB Ltd.
    • Siemens AG
    • KUKA AG
    • FANUC Corporation
    • Yaskawa Electric Corporation
    • Rockwell Automation, Inc.
    • Fortinet, Inc.
    • Cisco Systems, Inc.
    • Symbotic LLC
    • Boston Dynamics
    • CyberArk Software Ltd.
    • Palo Alto Networks, Inc.
    • Trend Micro Incorporated
    • Check Point Software Technologies Ltd.
    • Kaspersky Lab
    • ABB Robotics
    • Universal Robots A/S
    • Mobile Industrial Robots ApS (MiR)
    • OTTO Motors (Clearpath Robotics Inc.)
    • Others

    Recent Developments

    • In May 2025, KUKA showcased cybersecurity-integrated mobile robots at automatica 2025, launching mosaixx SaaS for secure fleet orchestration alongside Visual Components 5.0 simulation software. This combo lets integrators test robot paths virtually, cutting real-world hack exposure in heavy industry apps.
    • In September 2025, In September 2025, ABB presented its Autonomous Versatile Robotics vision at CIIF 2025, highlighting controllers and software that combine functional safety with secure connectivity for mobile and collaborative robots. The approach emphasizes zero trust networking, secure remote access, and continuous fleet monitoring, underscoring cybersecurity as a core design requirement for next generation robotic systems.

    Report Scope

    Report Features Description
    Market Value (2024) USD 3.2 Bn
    Forecast Revenue (2034) USD 40.5 Bn
    CAGR(2025-2034) 28.7%
    Base Year for Estimation 2024
    Historic Period 2020-2023
    Forecast Period 2025-2034
    Report Coverage Revenue forecast, AI impact on Market trends, Share Insights, Company ranking, competitive landscape, Recent Developments, Market Dynamics and Emerging Trends
    Segments Covered By Component (Software, Hardware, Services), By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security, Others), By Robot Type (Autonomous Mobile Robots, Automated Guided Vehicles, Unmanned Aerial Vehicles, Unmanned Ground Vehicles, Others), By Application (Manufacturing, Healthcare, Logistics & Warehousing, Defense & Security, Retail, Agriculture, Others)
    Regional Analysis North America – US, Canada; Europe – Germany, France, The UK, Spain, Italy, Russia, Netherlands, Rest of Europe; Asia Pacific – China, Japan, South Korea, India, New Zealand, Singapore, Thailand, Vietnam, Rest of Latin America; Latin America – Brazil, Mexico, Rest of Latin America; Middle East & Africa – South Africa, Saudi Arabia, UAE, Rest of MEA
    Competitive Landscape Honeywell International Inc., ABB Ltd., Siemens AG, KUKA AG, FANUC Corporation, Yaskawa Electric Corporation, Rockwell Automation, Inc., Fortinet, Inc., Cisco Systems, Inc., Symbotic LLC, Boston Dynamics, CyberArk Software Ltd., Palo Alto Networks, Inc., Trend Micro Incorporated, Check Point Software Technologies Ltd., Kaspersky Lab, ABB Robotics, Universal Robots A/S, Mobile Industrial Robots ApS (MiR), OTTO Motors (Clearpath Robotics Inc.), Others
    Customization Scope Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements.
    Purchase Options We have three license to opt for: Single User License, Multi-User License (Up to 5 Users), Corporate Use License (Unlimited User and Printable PDF)
    Mobile Robot Cybersecurity Market
    Mobile Robot Cybersecurity Market
    Published date: Dec. 2025
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    • Honeywell International Inc.
    • ABB Ltd.
    • Siemens AG
    • KUKA AG
    • FANUC Corporation
    • Yaskawa Electric Corporation
    • Rockwell Automation, Inc.
    • Fortinet, Inc.
    • Cisco Systems, Inc.
    • Symbotic LLC
    • Boston Dynamics
    • CyberArk Software Ltd.
    • Palo Alto Networks, Inc.
    • Trend Micro Incorporated
    • Check Point Software Technologies Ltd.
    • Kaspersky Lab
    • ABB Robotics
    • Universal Robots A/S
    • Mobile Industrial Robots ApS (MiR)
    • OTTO Motors (Clearpath Robotics Inc.)
    • Others

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