로봇 소프트웨어 플랫폼 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the robotic software platforms market size was valued at USD 6.07 billion in 2025 and estimated to grow from USD 7.58 billion in 2026 to reach USD 23.07 billion by 2031, at a CAGR of 24.93% during the forecast period (2026-2031).

This report is Segmented by Robot Type (Industrial Robots, Service Robots), Software Type (Communication Management, Data Management and Analytics and More), Deployment Model (On-Premises, Cloud-Based and More), End-User Industry (Automotive, Transportation and Logistics and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Robotic Software Platforms Market Trends and Insights

Accelerated Low-Code Robot Programming Tools

Drag-and-drop and natural-language interfaces cut robot programming time by up to 80%, as illustrated by ABB AppStudio's 2025 launch. The democratization addresses the 2.1 million manufacturing-talent gaps projected for 2030. Mid-market manufacturers gain affordability because fewer specialist engineers are needed. Faster configuration lowers payback periods, enabling robots to handle high-mix, low-volume tasks that once lacked economic justification. Vendors embedding reusable code blocks further shrink commissioning labour. Consequently, low-code capability becomes a must-have feature when buyers shortlist robotic software platforms market offerings.

Industrial-Edge AI Enabling On-Device Autonomy

Shifting inference from cloud to robot improves latency, privacy, and reliability in safety-critical settings such as welding cells that require sub-10 ms reaction windows. NVIDIA's Isaac platform adoption by Siemens and BYD Electronics reflects mainstream deployment of edge GPUs for perception and path planning. Reduced bandwidth costs help plants in regions with unstable connectivity. Edge AI also supports redundant fail-safe operation during network outages, aligning with insurance requirements for continuous production. As 5G networks mature, edge nodes gain deterministic wireless links, further broadening use cases for adaptive mobile robots inside the robotic software platforms market.

Legacy Industrial Protocols Slowing Data Interoperability

Modbus, Profibus, and proprietary fieldbuses remain entrenched in decades-old equipment, impeding plug-and-play connectivity with OPC UA and other modern frameworks. Integration often needs protocol gateways that add latency, cost, and maintenance overhead. Plants juggling multiple vendor ecosystems struggle to maintain version parity across controllers. Time-Sensitive Networking promises help, yet its maturity and price keep many firms in pilot mode. Consequently, brownfield sites experience elongated project schedules and higher integration risk, slowing overall robotic software platforms market adoption.

Other drivers and restraints analyzed in the detailed report include:

1. Collaborative-Robot Safety Certifications Harmonizing Globally
2. Robot-as-a-Service Uptake Among SMEs
3. Scarcity of ROS2-Skilled Engineers

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Industrial robots retained 53.20% share of the robotic software platforms market in 2025 because automotive and electronics plants run thousands of articulated arms on deterministic code. However, service robots register a 30.10% CAGR through 2031, far ahead of traditional counterparts. Hospitals expand surgical-assistant fleets, while retailers deploy inventory-scanning units to trim stock-out losses. Johns Hopkins researchers trained surgical robots to learn tasks by watching videos, illustrating how AI deepens software differentiation. Meanwhile, automotive players such as BMW pilot humanoid robots for in-plant logistics, demonstrating convergence between service and industrial paradigms.

Service-robot momentum underscores the value of adaptive perception and human-interaction algorithms versus rigid motion paths. Healthcare buyers rank system intelligence over payload capacity, tilting budgets toward platforms that update continuously via cloud pipelines. Industrial buyers respond by requesting similar capabilities like self-optimizing weld paths. The robotic software platforms market thus shifts toward unified platforms that can support both high-volume manufacturing and low-volume service environments.

Simulation and digital-twin packages held a 26.50% slice of the robotic software platforms market size in 2025 because they de-risk cell layouts before hardware purchase. Yet predictive-maintenance suites are achieving a 31.60% CAGR through 2031 as downtime avoidance proves a quantifiable benefit. Integrating vibration, temperature, and current sensors into AI models lets operators service robot before failure, extending mean time between repair by 15% on average.

Vendors now bundle AI-powered twins that generate synthetic data to improve fault-detection accuracy. Coupling maintenance insights with spare-parts logistics optimizes warehouse stock levels, delivering cross-functional savings. Escalating licensing fees for proprietary vision IP squeeze margins, prompting software houses to develop open-source or home-grown models. Edge-native inference further shifts value from centralized analytics toward on-device diagnosis. These dynamics reinforce predictive maintenance as the fastest-growing slice of the robotic software platforms market.

Complete Report Scope:

• By Robot Type
  • Industrial Robots
  • Service Robots
• By Software Type
  • Communication Management
  • Data Management and Analytics
  • Predictive Maintenance
  • Recognition / Vision
  • Simulation and Digital Twin
• By Deployment Model
  • On-premises
  • Cloud-based
  • Edge-native
• By End-User Industry
  • Automotive
  • Transportation and Logistics
  • Healthcare
  • Retail and E-commerce
  • Manufacturing (Discrete and Process)
  • Government and Defense
  • ICT and Data-Centers
  • Other Verticals
• By Geography
  • North America
    • United States
    • Canada
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • UAE
      • Turkey
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

APAC generated 40.70% of global revenue in 2025 and is set to expand at a 30.60% CAGR through 2031, underscoring its manufacturing concentration. China's USD 138 billion robotic investment pledge catalyses local supplier ecosystems, while Japan and South Korea invest in service robotic for eldercare. Local governments subsidize automation for small exporters, broadening the robotic software platforms market footprint across tier-two cities.

North America benefits from generous tax credits and robust venture funding for AI-native startups. Early adoption of edge architectures supports deployments in automotive, aerospace, and fulfilment centers. Regulatory clarity on collaborative-robot safety gives integrators a stable framework to scale solutions. Canada's warehouses deploy fleet-management software that optimizes battery utilization and aisle navigation, evidence of cross-border knowledge transfer.

Europe enforces the AI Act, classifying industrial robots as high-risk systems that must document data provenance and explainability. Compliance adds workload yet raises trust, which local suppliers leverage when exporting to stricter jurisdictions. Central and Eastern European plants modernize to counter labour shortages, while Scandinavian hospitals adopt rehabilitation robots. Emerging markets in Latin America, the Middle East, and Africa adopt RaaS models that bypass capital constraints, slowly diversifying regional demand streams for the robotic software platforms market.

1. ABB Ltd.
2. AIBrain Inc.
3. Brain Corp.
4. CloudMinds Technology Inc.
5. Cyberbotics Ltd.
6. Energid Technologies Corp.
7. Fanuc Corp.
8. Furhat Robotics AB
9. International Business Machines Corp.
10. iRobot Corp.
11. KUKA AG
12. NVIDIA Corp.
13. Neurala Inc.
14. Realtime Robotics Inc.
15. ADLINK Technology Inc.
16. Robotic Systems Integration LLC

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Accelerated low-code robot programming tools
  • 4.2.2 Industrial-edge AI enabling on-device autonomy
  • 4.2.3 Collaborative-robot safety certifications harmonising globally
  • 4.2.4 Robot-as-a-Service uptake among SMEs
  • 4.2.5 Government tax credits for smart-factory software
  • 4.2.6 Cyber-physical security mandates for critical infrastructure robots
• 4.3 Market Restraints
  • 4.3.1 Legacy industrial protocols slowing data interoperability
  • 4.3.2 Scarcity of ROS2-skilled engineers
  • 4.3.3 Escalating licence costs for vision-AI IP cores
  • 4.3.4 Pending EU AI Act liability exposure for autonomous systems
• 4.4 Value / Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Consumers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitute Products
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Robot Type
  • 5.1.1 Industrial Robots
  • 5.1.2 Service Robots
• 5.2 By Software Type
  • 5.2.1 Communication Management
  • 5.2.2 Data Management and Analytics
  • 5.2.3 Predictive Maintenance
  • 5.2.4 Recognition / Vision
  • 5.2.5 Simulation and Digital Twin
• 5.3 By Deployment Model
  • 5.3.1 On-premises
  • 5.3.2 Cloud-based
  • 5.3.3 Edge-native
• 5.4 By End-User Industry
  • 5.4.1 Automotive
  • 5.4.2 Transportation and Logistics
  • 5.4.3 Healthcare
  • 5.4.4 Retail and E-commerce
  • 5.4.5 Manufacturing (Discrete and Process)
  • 5.4.6 Government and Defense
  • 5.4.7 ICT and Data-Centers
  • 5.4.8 Other Verticals
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 France
    • 5.5.2.3 United Kingdom
    • 5.5.2.4 Italy
    • 5.5.2.5 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 South Korea
    • 5.5.3.5 Rest of Asia-Pacific
  • 5.5.4 South America
    • 5.5.4.1 Brazil
    • 5.5.4.2 Argentina
    • 5.5.4.3 Rest of South America
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 UAE
      • 5.5.5.1.3 Turkey
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global-level Overview, Market-level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 ABB Ltd.
  • 6.4.2 AIBrain Inc.
  • 6.4.3 Brain Corp.
  • 6.4.4 CloudMinds Technology Inc.
  • 6.4.5 Cyberbotics Ltd.
  • 6.4.6 Energid Technologies Corp.
  • 6.4.7 Fanuc Corp.
  • 6.4.8 Furhat Robotics AB
  • 6.4.9 International Business Machines Corp.
  • 6.4.10 iRobot Corp.
  • 6.4.11 KUKA AG
  • 6.4.12 NVIDIA Corp.
  • 6.4.13 Neurala Inc.
  • 6.4.14 Realtime Robotics Inc.
  • 6.4.15 ADLINK Technology Inc.
  • 6.4.16 Robotic Systems Integration LLC

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment