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Global Autonomous Rebar-Tying Robot Market Strategic Research Report

Global Autonomous Rebar-Tying Robot Market Strategic Researc…
$3,500 USD
Market Research Reports
Strategic Research Report
Global Autonomous Rebar-Tying Robot Market
$1262025
13.9%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Rebar-Grid Self-Propelled Robot, Walking Robot, Spanning Robot, Platform-Integrated Robot, Others

By Application: Bridge and Transportation Infrastructure, Building Slabs and Foundations, Tunnel and Underground Structures, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: Advanced Construction Robotics, Inc., KEN ROBOTECH CORPORATION, Castor Construction Robotics Limited, Spacer Robotics, MAX CO., LTD., SkyMul, Taisei Corporation, China Construction Fourth Engineering Division, China Railway No.9 Group, China Construction Eighth Engineering Division

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 101 pages
Market size 2025
$126
Million USD
Forecast CAGR
13.9%
2025-2032
Forecast 2032
$313.4
Projected
区域
5
Asia Pacific · Latin America · MEA · Europe · North America

概述

Scope of the Report

The global Autonomous Rebar-Tying Robot market size is predicted to grow from US$ 126 million in 2025 to US$ 315 million in 2032; it is expected to grow at a CAGR of 13.9% from 2026 to 2032.

Autonomous Rebar-Tying Robot refers to specialized robotic construction equipment designed to automate wire tying at reinforcement-bar intersections in reinforced-concrete construction. The market focuses on integrated robotic systems that combine rebar-intersection detection, autonomous or supervised-autonomous positioning, path planning, motion control and an automatic tying mechanism, enabling repetitive tying tasks to be performed with limited direct human intervention. Typical product architectures include self-propelled robots that travel directly across reinforcement grids, walking-type systems, spanning or gantry-type platforms, and specialized robots integrated with construction platforms. Key performance parameters include supported rebar diameter and grid spacing, tying cycle time, positioning accuracy, operating endurance, obstacle-handling capability, mobility across reinforcement grids and overall jobsite reliability. Primary applications are concentrated in horizontal or near-horizontal reinforcement work such as bridge decks, building slabs, mat foundations and selected infrastructure projects, where high node density, repetitive workflows and relatively regular reinforcement layouts provide favorable conditions for construction automation.

Key Findings

In 2025, global Autonomous Rebar-Tying Robot production reached approximately 1,748 Units.The average price is approximately $70,000

North America, Japan and China/Hong Kong form the principal technology and supply clusters for Autonomous Rebar-Tying Robot

Horizontal rebar grids in bridge decks, slabs and foundations represent the core addressable application environment

Leading systems can already exceed 1,000 ties per hour, while compact mobile platforms emphasize flexibility and autonomous navigation

Market Trends

Autonomous Rebar-Tying Robot technology is moving from single-function mechanized tying toward integrated autonomous construction systems. Product development increasingly combines rebar-intersection sensing, autonomous localization, route generation, obstacle detection, dynamic replanning and automatic lane changing, while emerging systems are beginning to explore centralized fleet control and coordinated multi-robot operation. ACR states that TyBOT can self-locate, self-position and self-tie more than 1,200 intersections per hour without pre-mapping, while KEN ROBOTECH has developed automatic intersection sensing that accommodates changes in rebar pitch. Castor's RBTS1 incorporates autonomous recognition, obstacle avoidance and intelligent track changing, and MAX has publicly demonstrated an Autonomous Mobile Tying Robot capable of generating routes, replanning around obstacles and supporting coordinated operation of multiple units. The longer-term direction is therefore not simply higher tying speed, but greater jobsite autonomy, reduced setup and repositioning labor, broader compatibility with irregular reinforcement layouts, and integration of operational data into digital construction management.

Market Dynamics

Drivers

Persistent shortages of skilled construction labor, the repetitive and physically demanding nature of rebar tying, and pressure to improve productivity and worker ergonomics are the fundamental demand drivers for Autonomous Rebar-Tying Robot. Large bridge, building and infrastructure projects can contain substantial volumes of repetitive reinforcement work, creating a measurable incentive to shift labor from individual tying operations toward robot supervision and higher-value activities. Policy support for construction automation is reinforcing this direction. Japan's Ministry of Land, Infrastructure, Transport and Tourism continues to advance i-Construction 2.0, targeting at least a 30% reduction in required construction-site labor and approximately 1.5 times productivity by fiscal 2040, with construction automation identified as one of the initiative's principal pillars.

Restraints

The main restraint is that the economics of Autonomous Rebar-Tying Robot remain highly dependent on jobsite conditions. Current systems perform best on relatively regular and continuous horizontal reinforcement grids, while vertical bars, penetrations, temporary materials, workers, variable bar elevations and irregular reinforcement geometries can interrupt autonomous movement and lower utilization. Initial equipment cost, transportation between projects, setup requirements and the need to demonstrate sufficient annual utilization also limit adoption among smaller contractors. In addition, different robot architectures address different reinforcement layouts, making it difficult for a single platform to cover all tying applications. These factors mean that productivity measured under favorable operating conditions cannot automatically be translated into equivalent productivity across every construction site.

Opportunities

The strongest market opportunity lies in expanding the usable operating envelope rather than simply increasing mechanical tying speed. Robots capable of automatically changing travel lanes, recognizing irregular nodes, recovering from obstacles and continuing operation with minimal operator intervention can address a substantially broader portion of slab and infrastructure reinforcement work. Additional opportunities exist in lighter and more portable platforms suitable for commercial buildings, integration with automated rebar placement and material-handling equipment, fleet management that allows one operator to supervise multiple robots, and digital recording of completed tying points for construction quality management. Geographic expansion is another opportunity: the current supplier structure remains concentrated in a small number of technology clusters, leaving many construction markets dependent on imported equipment or project-specific automation solutions.

Challenges

The industry's principal challenge is converting successful demonstrations into repeatable, economically attractive deployment across heterogeneous construction environments. Autonomous Rebar-Tying Robot suppliers must simultaneously improve robustness, weather resistance, navigation reliability, tying quality and maintainability while controlling equipment cost. MAX has explicitly identified weather resistance and durability for outdoor work as commercialization issues for its Autonomous Mobile Tying Robot, illustrating the gap that can remain between demonstration-level functionality and a fully scalable construction product. The industry also lacks a universally standardized way to compare productivity across different reinforcement layouts, tie requirements and project conditions, increasing the importance of long-duration field data, installed-base performance and demonstrated total cost of ownership.

Industry Chain Analysis

The upstream industry chain of Autonomous Rebar-Tying Robot consists primarily of structural and mechanical components, electric drive systems, batteries and power-management modules, motors and actuators, industrial controllers, cameras and other sensing components, localization hardware, embedded computing platforms and specialized rebar-tying mechanisms. Compared with conventional construction equipment, a relatively high proportion of product value is generated by robotics engineering, perception and navigation algorithms, mechanical adaptation to reinforcement grids and integration between mobility and tying execution. The tying head, wire-feeding mechanism, perception system and mobility architecture have a direct influence on productivity, reliability and consumable compatibility, while batteries, sensors and control electronics increasingly determine operating endurance and autonomy.

The midstream consists of dedicated construction-robot OEMs, construction-technology startups and, in some regions, large contractors developing equipment for internal deployment. Downstream users primarily include reinforcing contractors, general contractors, bridge contractors, civil-engineering companies, precast and specialized construction operators, depending on the exact robot architecture. Value creation increasingly extends beyond equipment manufacturing into deployment support, rental, Robotics-as-a-Service, maintenance, consumables, software updates and operational data services. As the market matures, suppliers with strong field-service networks and the ability to achieve high equipment utilization are likely to capture more value than vendors relying only on hardware sales.

Segment Insights

By robot mobility architecture, self-propelled rebar-grid robots currently represent the broadest area of supplier activity because their relatively compact form factor can address building slabs, foundations and selected infrastructure applications without requiring a large external support structure. Spanning or gantry-type platforms represent a more specialized route and are particularly well suited to large, continuous infrastructure work where the robot can operate across a defined deck width. Walking, cable-driven and construction-platform-integrated systems remain valid technical routes, but their supplier bases and commercial deployment are currently more limited. The market therefore remains technologically diverse rather than converging on a single universally dominant mechanical architecture.

By deployment environment, on-site horizontal reinforcement grids form the central commercial segment within the narrow market definition. These conditions provide the most favorable combination of high node density, repetitive work and predictable geometry. Building slabs and foundations favor compact and portable mobile robots, while bridge and transportation infrastructure can support larger systems with higher throughput and longer operating windows. Precast and factory-based reinforcement automation represents an adjacent automation opportunity, but its equipment configuration, workflow and purchasing logic differ from autonomous robots designed primarily for construction-site operation.

Downstream Market Opportunities

Downstream opportunities are strongest where manual rebar tying represents a high proportion of repetitive site labor and where work areas are large enough to maintain robot utilization. Bridge decks remain particularly attractive for high-throughput systems because reinforcement layouts are extensive and repetitive, while large building slabs and mat foundations provide an opportunity for lighter autonomous platforms that can be moved between work areas with relatively low setup requirements. Infrastructure, tunnel, industrial-building and water-engineering projects offer additional opportunities where suitable horizontal reinforcement zones exist. Over time, the addressable market can broaden if robots become better at negotiating penetrations, vertical reinforcement, changing elevations and temporary site obstacles, allowing automation to move beyond today's most standardized reinforcement environments.

Regional Insights

North America, Japan and China/Hong Kong currently form the most important supply-side clusters, but their commercialization patterns differ. North America has established one of the clearest commercial pathways for large-scale bridge and infrastructure deployment, supported by specialized construction-robot developers and an established reinforcing-contractor ecosystem. Japan combines a mature rebar-tying tool industry with specialized construction robotics and strong contractor participation; government policy continues to promote construction-site automation through i-Construction 2.0. China and Hong Kong show a broader mix of startup-led commercialization and contractor-developed systems, with increasing emphasis on autonomous navigation, compact equipment and integration into intelligent-construction projects. Europe, South Korea, Southeast Asia, India and the Middle East currently have fewer verified dedicated OEMs under the narrow definition, creating potential opportunities for equipment exports, local distribution, project partnerships and future regional entrants.

Competitive Landscape Analysis

The competitive landscape of Autonomous Rebar-Tying Robot remains concentrated but structurally diverse. Advanced Construction Robotics and KEN ROBOTECH represent the more established commercial approaches, with ACR focused on high-productivity infrastructure applications and KEN ROBOTECH building a self-propelled collaborative product line for building and civil-engineering work. ACR's official product information emphasizes autonomous positioning and high tying throughput, while KEN ROBOTECH has commercially offered its Rebar Tying TOMOROBO since 2020. Castor Construction Robotics represents an emerging Asian commercial supplier emphasizing compact autonomous mobility, obstacle avoidance and automatic track changing, while Spacer Robotics represents an early-deployment U.S. startup route. The broader competitive pool is larger than the core formal supplier group because MAX and several major construction companies are developing autonomous or internally deployed systems. MAX continues to advance commercialization of its Autonomous Mobile Tying Robot, indicating that established rebar-tool manufacturers may become increasingly important competitors as autonomy matures. Future differentiation is expected to depend less on the basic ability to tie rebar and more on real-world autonomy, uptime, jobsite adaptability, multi-robot management, lifecycle economics and the ability to support customers across multiple project types.

This report presents a comprehensive overview of the global Autonomous Rebar-Tying Robot market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Rebar-Grid Self-Propelled Robot
  • Walking Robot
  • Spanning Robot
  • Platform-Integrated Robot
  • Others

Segment by Deployment Environment

  • On-Site Horizontal Rebar Grid
  • Integrated Construction Platform
  • Factory Environment
  • Others

Segment by Single-Node Tying Cycle Time

  • Single-Node Tying Cycle Time: 3.5–5s
  • Single-Node Tying Cycle Time: 2.8–4s
  • Single-Node Tying Cycle Time: 4–6s
  • Others

Segment by Application

  • Bridge and Transportation Infrastructure
  • Building Slabs and Foundations
  • Tunnel and Underground Structures
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Autonomous Rebar-Tying Robot market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Bridge and Transportation Infrastructure, Building Slabs and Foundations, Tunnel and Underground Structures evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Autonomous Rebar-Tying Robot Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 13.9%
Regional growth momentum
Market share by segment
Key metrics
Base value
$126
2025
Forecast
$313.4
2032
CAGR
13.9%
2025–2032
区域
5
global
Key companies
Advanced Construction Robotics, Inc.KEN ROBOTECH CORPORATIONCastor Construction Robotics LimitedSpacer RoboticsMAX CO., LTD.SkyMulTaisei CorporationChina Construction Fourth Engineering Division
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Rebar-Grid Self-Propelled RobotWalking RobotSpanning RobotPlatform-Integrated RobotOthers
By Application
Bridge and Transportation InfrastructureBuilding Slabs and FoundationsTunnel and Underground StructuresOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Rebar-Grid Self-Propelled Robot
  • 3.1.3 Walking Robot
  • 3.1.4 Spanning Robot
  • 3.1.5 Platform-Integrated Robot
  • 3.1.6 Others
  • 3.1.7 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Bridge and Transportation Infrastructure
  • 4.1.3 Building Slabs and Foundations
  • 4.1.4 Tunnel and Underground Structures
  • 4.1.5 Others
  • 4.1.6 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 Advanced Construction Robotics, Inc.
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 KEN ROBOTECH CORPORATION
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Castor Construction Robotics Limited
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Spacer Robotics
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 MAX CO., LTD.
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 SkyMul
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Taisei Corporation
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 China Construction Fourth Engineering Division
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 China Railway No.9 Group
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 China Construction Eighth Engineering Division
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

How big is the global Autonomous Rebar-Tying Robot market?
The global Autonomous Rebar-Tying Robot market is estimated at US$ 126 million in 2025 (base year) and is projected to reach US$ 315 million by 2032.
How fast is the Autonomous Rebar-Tying Robot market expected to grow?
The market is expected to grow at a CAGR of 13.9% from 2026 to 2032, expanding from US$ 126 million in 2025 to US$ 315 million in 2032, roughly 2.5 times its base-year value.
What does the Autonomous Rebar-Tying Robot market cover?
Autonomous Rebar-Tying Robot refers to specialized robotic construction equipment designed to automate wire tying at reinforcement-bar intersections in reinforced-concrete construction. The market focuses on integrated robotic systems that combine rebar-intersection detection, autonomous or supervised-autonomous positioning, path planning, motion control and an automatic tying mechanism, enabling repetitive tying tasks to be performed with limited direct human intervention.
What are the main segments of the Autonomous Rebar-Tying Robot market by type?
By type, the market is segmented into Rebar-Grid Self-Propelled Robot, Walking Robot, Spanning Robot, Platform-Integrated Robot and Others.
Which applications drive demand in the Autonomous Rebar-Tying Robot market?
Key applications covered include Bridge and Transportation Infrastructure, Building Slabs and Foundations, Tunnel and Underground Structures and Others.
Who are the key players in the Autonomous Rebar-Tying Robot market?
Key players profiled include Advanced Construction Robotics, KEN ROBOTECH CORPORATION, Castor Construction Robotics Limited, Spacer Robotics, MAX CO., LTD., SkyMul, Taisei Corporation and China Construction Fourth Engineering Division, among 10 companies covered in total.
Which regions and countries are covered for Autonomous Rebar-Tying Robot?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What is driving growth in the Autonomous Rebar-Tying Robot market?
Walking, cable-driven and construction-platform-integrated systems remain valid technical routes, but their supplier bases and commercial deployment are currently more limited.
What challenges does the Autonomous Rebar-Tying Robot market face?
The main restraint is that the economics of Autonomous Rebar-Tying Robot remain highly dependent on jobsite conditions.
Who should buy the Autonomous Rebar-Tying Robot market report?
The report is intended for manufacturers and solution providers, distributors and end users in Bridge and Transportation Infrastructure, Building Slabs and Foundations and Tunnel and Underground Structures, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Autonomous Rebar-Tying Robot market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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03
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Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

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