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Analysis Area: Daegu Metropolitan City

Core Area: Seongseo Industrial Complex, Daegu National Industrial Complex, Hyundai Robotics, Korea Robot Industry Association, and Robot Enterprise Cluster

Agenda: Is the clustering of robotics, SI, and parts companies expanding into AI-based autonomous manufacturing and regional supply chain achievements?

Golden Time Type: Technology Transition + Competitive Risk

Reference Date: August 28, 2026

Version: Regional AX Golden Time Intelligence v3.2
 

Daegu is home to a concentration of over 230 robot companies , including the Korea Robot Industry Association and Hyundai Robotics, as well as supply chains for machinery, metals, and electronic components. Additionally, a National Robot Test Field with a total project cost of 199.75 billion KRW is being established in Dalseong-gun. As the competitive axis of the robot industry shifts from mechanical performance to AI models, data, autonomous behavior, and field learning, a structure has formed where maintaining a leading position is difficult solely through the concentration of existing companies. The performance of local companies in AI and software sales, autonomous robot products, and the results of iterative testing and commercialization have not yet been sufficiently verified. If this gap is fixed before the completion of the test field in 2028, Daegu will remain a city that tests external robots rather than a city that produces robots.  While Daegu's existing robot dominance is confirmed, its AI robot dominance has entered a phase requiring re-verification.

The Ministry of Trade, Industry and Energy is pursuing an advanced robot strategy that combines AI with robots, aiming to deploy over one million robots across the manufacturing, logistics, welfare, and safety sectors. While the market focus has expanded from industrial robot bodies to vision, control, simulation, foundation models, and integrated operation software , Daegu’s robot industry policy remains heavily skewed toward test infrastructure and manufacturing/SI-based operations. If external companies dominate AI software and data platforms within the next two to three years, local companies are highly likely to remain focused on hardware, installation, and maintenance.  Although Daegu is a leading city in the context of the existing robot industry, its leading position in the transition to physical AI has not yet been secured.

The National Robot Test Field will be constructed on a 166,973㎡ site in Dalseong-gun between 2024 and 2028, with a total investment of 199.75 billion won, comprising 130.5 billion won in state funds, 52 billion won in municipal funds, and 17.25 billion won in private funds . With the establishment of a national-level infrastructure in Daegu to verify robots' task performance capabilities, safety, durability, and reliability in virtual and real-world environments, the region's role has expanded from a robot manufacturing hub to a national demonstration and certification base.  However, the proportion of Daegu-based companies among those utilizing the facility, as well as the conditions for attribution leading to local joint development, procurement, and employment, remain unconfirmed. If companies from the Seoul metropolitan area and overseas conduct only testing after 2028 while maintaining research, headquarters, and mass production elsewhere, Daegu's regional added value will be limited. While  the attraction of national infrastructure has been confirmed, the attribution of regional industrial achievements remains undetermined.

Data from the Ministry of Trade, Industry and Energy in 2024 indicated that approximately 230 upstream and downstream robot companies , along with research and support institutions such as the Korea Robot Industry Association, DGIST, and the Daegu Institute of Machinery and Materials, are concentrated in Daegu. While the presence of corporate, research, and certification infrastructure in one region has formed a full-cycle structure for the robot industry, no data comparing current performance with the 2030 targets—662 robot companies, 11,799 employees, and 4.1 trillion won in revenue—is available using the same criteria. Unless the baseline is disclosed even at the time of the test field's completion in two to three years, the increase in the number of companies and employment cannot be attributed to infrastructure effects.  Although Daegu possesses assets for the robot ecosystem, the feasibility of verifying its growth rate remains low.

The Ministry of SMEs and Startups is promoting the ABB Convergence Robot SI Manufacturing Innovation project in Daegu from 2024 to 2026 as a regional specialization initiative . Although robot supply has shifted from the sale of robot bodies to on-site analysis, design, integration, and operation,  publicly available data shows limited performance in AI-based SI revenue, new customers, productivity improvements, and follow-up contracts for participating companies. If project-based demand disappears following the termination of support after 2027, market expansion for local SI companies may come to a halt.  While the transition to Robot SI in Daegu is underway, the formation of a self-sustaining market has not yet been confirmed.

The clustering of Hyundai Robotics with local machinery and parts companies provides favorable evidence for the supply of industrial robot bodies, controllers, and peripherals. On the other hand, as the proportion of software capable of recognizing work environments, identifying exceptions, and learning new tasks increases for AI robots,  the unit of competition has shifted from individual equipment to data and operating systems.  The proportion of AI research personnel, proprietary models, robot training data, and recurring software revenue for Daegu robot companies remains unconfirmed. If the AI ​​layer becomes dependent on external platforms over the next two to three years, local companies will be limited in hardware margins and installation revenue. While  Daegu has a strong foundation for industrial robots, the entry of AI robots into the upper levels of the value chain remains unconfirmed.

The National Robot Test Field evaluates the safety and reliability of robot services and supports the commercialization of companies. While the demand for testing and certification is increasing, the presence of certification bodies does not guarantee the concentration of source robot technologies and platform companies.  Unless the ownership and utilization rights of test results and operational data, as well as the conditions for local companies' access to data, are publicly determined, high-value-added data generated during the testing process will belong to individual user companies. There is a risk that after 2028, Daegu may secure revenue from facility operations but fail to accumulate assets for the advancement of AI models.  Testing capability is a form of national competitiveness, but it does not automatically translate into regional AI robot competitiveness.

The preliminary feasibility study for the National Robot Test Field estimated  the economic impact at 389.5 billion won and the job creation effect at approximately 928 people . While the concentration of large-scale public investment in Dalseong-gun is generating demand for visits and occupancy by companies involved in robot testing, certification, and commercialization, these figures represent estimated effects based on facility construction and operation, not results confirmed by actual revenue from local businesses. Unless indicators for occupancy, relocation, joint development, and local procurement are separated by 2028, it will be difficult to determine the difference between the projected and realized effects. Although  the national feasibility of the test field has been secured, its contribution to the local economy has not yet been verified.

Daegu City is also pursuing the establishment of a Robot Industry Technology Innovation Center worth a total of 32 billion won between 2026 and 2029 to support companies utilizing the National Robot Test Field . While the infrastructure structure has expanded with the addition of corporate support spaces alongside testing facilities, review materials from the Daegu City Council indicated that the significant increase in financial investment starting in 2027 and the burden of operating costs are subjects for review. If the functions, customers, and revenue models of the Test Field and the Innovation Center overlap, securing facility utilization rates will shift the focus of performance metrics. Furthermore, if construction costs remain fixed for the next two to three years, it will become difficult to adjust the scale of operations even if business demand falls short of expectations.  Daegu's robot infrastructure is expanding, and the irreversibility of finance and operations is rising alongside it.

Since 2010, Daegu has continuously secured a foundation of support, ranging from attracting the Korea Robot Industry Promotion Agency and establishing a robot industry cluster to creating a special regulatory zone for mobile collaborative robots and a national robot test field. While the number of robot-related institutions and companies has increased, the recent industrial structure—which distinguishes between finished robot products, core components, AI software, SI, and simple distribution firms—is not evident in publicly available data.  If the number of companies increases while the proportion of high-value-added sectors stagnates, industrial scale and technological competitiveness become disconnected. Unless the revenue structure by role is verified by 2028, achieving the target of 662 companies will not serve as evidence of a leading position.  While the quantitative aggregation of Daegu's robot industry is confirmed, its qualitative composition remains unclear.

The robotics industry places great importance on the role of local SI companies due to the high proportion of site-specific integration and maintenance. While the ABB convergence robot SI project was linked to manufacturing innovation, evidence that SI companies have shifted from one-off implementation projects to standardized solutions and recurring revenue is limited. If customized development for individual factories is repeated over two to three years, costs increase in proportion to the manpower input, limiting the expansion of the company's scale.  Although Daegu has a foundation for robot SI, the level of productization and platformization is assessed to be in the early stages.

The National Robot Test Field evaluates the quality, safety, and reliability of service robots in both virtual and real-world environments, and existing Special Regulatory Zones have also supported field demonstrations of mobile collaborative robots. While Daegu has accumulated both demonstration experience and institutional assets, the percentage of local companies that transitioned to paid sales, repeat purchases, overseas certifications, and exports after the completion of demonstrations remains unconfirmed.  Even if the number of demonstrations increases, if buyers are not formed, public projects will replace the market. If the conversion rate from demonstration to certification to procurement to private sales remains low until 2028, the Test Field will become a facility that merely manages repeated delays in commercialization. Although  Daegu has entered the status of a demonstration city, it is premature to declare it a leading city for commercialization.

The Ministry of Trade, Industry and Energy has proposed  distributing over 1 million robots across all industries, including manufacturing, logistics, welfare, and safety, by 2030. While Daegu is positioned to serve as a supply base for this national expansion , the procurement rates and operational performance regarding the purchase of Daegu-made robots by local hospitals, logistics centers, commercial facilities, and factories are not publicly disclosed.  Without the formation of a local market, companies find it difficult to secure long-term operational data and user feedback. If local references are not accumulated within two to three years, a credibility gap will widen compared to large corporations in the Seoul metropolitan area when entering overseas markets. Although  Daegu has secured nationwide demonstration facilities, the city's own leading demand remains unconfirmed.

AI robots improve their performance by repeatedly learning from video, sensors, work trajectories, and failure cases. While the National Robot Test Field is structured to generate large-scale demonstration data , specific details regarding data standards, the scope of inter-company sharing, anonymization, model training rights, and commercial usage rights are not clearly confirmed in the publicly available materials.  If only the facilities are shared while data remains closed to individual companies, Daegu will be unable to accumulate collective robot intelligence even if it provides a national testing space. If data governance is not established by 2028, readjusting rights thereafter will become difficult due to corporate secrets and contractual issues.  The control over real-world data, a critical asset for Daegu's AI robots, remains undetermined.

The Industrial AX Innovation Hub promoted by Daegu is responsible for R&D in the convergence of AI, robotics, and semiconductors, while the National Robot Test Field handles robot demonstration and certification. Although these two infrastructures are established in the same region, an operational structure in which research models are retrained using test field data and the results are connected to products from local robot companies has not been confirmed. If the two institutions operate with separate projects, budgets, and performance indicators for two to three years, only spatial proximity will remain, and no technological cycle will be formed. While  Daegu has secured infrastructure for both AI and robotics simultaneously, it still lacks evidence regarding an integrated learning structure.

Daegu has established a foundation for robot research and education through the presence of DGIST, Kyungpook National University, the Daegu Institute of Machinery and Materials, and the Korea Robot Industry Association. However, publicly available data does not confirm the local employment and retention figures for personnel handling mechanical design, control, AI, data, and simulation, nor the hiring shortage rates by company. If AI robot personnel migrate to platform companies in the Seoul metropolitan area or research institutes of large corporations, local companies become dependent on existing control and installation personnel. As the next two to three years will see a simultaneous increase in both test field operators and local corporate developers, competition for labor is highly likely to intensify. While  Daegu has a strong foundation for robot educational institutions, the internal infrastructure for physical AI personnel within companies remains unclear.

The past target of 11,799 jobs by 2030 serves as an indicator of industrial expansion but fails to assess changes in job composition. If manufacturing, assembly, and installation jobs are not distinguished from those in AI models, software, product planning, and global certification, employment growth and industrial advancement become intertwined. If the local retention of highly skilled roles is not confirmed by 2028, design and intelligence layers will remain external, even if the number of companies increases.  The workforce gap in Daegu's robotics industry is identified in the job value chain rather than in the number of personnel.

The Korea Robot Industry Association, approximately 230 upstream and downstream companies, the National Robot Test Field, regulatory-free zones, and robot SI businesses have been identified.  While hardware, support organizations, and testing infrastructure are at a top-tier domestic level, regional achievements in proprietary AI models, shared data, recurring revenue software, and physical AI personnel are limited. If this gap persists until 2028, Daegu's existing robot infrastructure will be reorganized into a production and demonstration base applying external AI technologies. The current level of readiness is assessed as high for robot infrastructure and mid-to-low for the AI ​​intelligence layer .

The corporate foundation of the robot industry is confirmed by the presence of Hyundai Robotics, numerous upstream and downstream companies, and ABB convergence robot SI participants. On the other hand, the percentage of local companies that have commercially sold AI perception, judgment, and autonomous control products or secured recurring contracts has not been disclosed. If the use of test fields by external AI companies increases faster than the transition to AI products by existing companies over the next two to three years, the relative standing of local companies will decline. The level of corporate diffusion is assessed as moderate to high concentration of robot companies and unconfirmed diffusion of AI robot companies .

The demonstration of mobile collaborative robots and manufacturing innovation through robot SI serve as evidence that robots have entered the factory floor. However, the robot adoption rate, AI control ratio, improvements in productivity and safety, and repurchase records across all regional manufacturing companies remain unconfirmed. If demonstration and deployment projects are tallied separately until 2028, the number of installed units may increase, but the level of process automation cannot be determined. Diffusion into industrial sites is judged as the progress of demonstrations and structural changes remain unconfirmed .

The National Robot Test Field supports the verification of performance, safety, and reliability as well as corporate commercialization, and Daegu is connected to the global robot cluster network. However, the post-certification revenue conversion rate, acquisition of overseas certifications, export contracts, and service revenue of local robot companies were not disclosed in an integrated manner. If  domestic test results do not align with overseas standards over the next two to three years, companies will bear additional time and costs during the export phase. The level of market and export readiness is assessed as upper-middle for infrastructure and lower-middle for commercial viability .

The National Robot Test Field aims for completion in 2028, while the Industrial AX Innovation Hub and the Robot Industry Technology Innovation Center will be established by 2029. The period from 2026 to 2028 is the only preliminary phase capable of connecting AI models, demonstration data, local company products, and leading demand, but current project-specific connection evidence is weak. If operational rates and attracting user companies are prioritized after facility completion, the advancement of local companies' value chains may be relegated to a lower priority. The golden time for Daegu to secure a leading position in AI and robotics is assessed to be the next 24 months .

The 199.75 billion won for the National Robot Test Field and the 32 billion won for the Robot Industry Technology Innovation Center fix the site, construction, equipment, and operational organization for the long term. If the infrastructure is completed while data rights, roles between facilities, and conditions for local enterprise ownership are weak, modifications to the operating system will expand into issues regarding contracts, security, and institutional evaluation. By 2028–2029, it is highly likely that the mere existence of the facilities will serve as justification for additional financial investment. Irreversibility is assessed as high risk for physical infrastructure, high risk for data structure, and medium-to-medium risk for local ownership .

Daegu is one of the cities in the country that has secured the most sophisticated robot support and demonstration infrastructure.  This foundation provides a starting advantage for entering the competition in AI robots.

However, current strengths are concentrated in institutions, facilities, and hardware companies . Superiority in AI models, joint validation data, recurring revenue software, and global commercialization has not yet been confirmed.

The final verdict is “National Robotics Infrastructure Leadership + Physical AI Value-Capture Gap .  ” While Daegu maintains its status as a robot city, its status as a leading AI robot city depends on data and commercialization performance over the next 24 months.

Overall Score:  59 / 100

Golden Time Status:
ORANGE

Time Window:
Approx. 24 months

Failure Mode:
The nation's top robot testing ground remains in Daegu, but profits from AI, data, and platforms accrue to external companies

Irreversibility:
High risk in physical infrastructure and data structure

Evidence Sources

• Ministry of Trade, Industry and Energy—Implementation Plan for Establishing a National Robot Test Field
• Ministry of Trade, Industry and Energy—Daegu Rising Tall with High-Tech New Industries
• Ministry of Trade, Industry and Energy—Advanced Robotics Industry Vision and Strategy
• Korea Robot Industry Promotion Agency—National Robot Test Field Project Real-Name System
• Ministry of SMEs and Startups Regional Specialization Project—Daegu ABB Convergence Robot SI
• Daegu Metropolitan City Council—National Robot Test Field Total Project Cost and Local Government Funding
• Daegu Metropolitan Council—Reviewing Funding for Robot Industry Technology Innovation Center
• Daegu Metropolitan City Council—2026 Major Business Report of the Future Innovation and Growth Office
• Daegu Institute for Policy Studies—AI Robot 3+1 Infrastructure and Strategic Projects

Structural Insight — Test fields are neutral infrastructure, so they do not guarantee regional dominance

Although the National Robot Test Field is located in Daegu, it is available to robot companies nationwide. As test quality improves and accessibility increases, companies in the capital region and overseas also receive the same benefits.  The success of the facility and the success of Daegu companies are not the same indicators from the outset.

If an external company conducts a pilot test in Daegu, refines the model at its headquarters, and mass-produces it in another region, the test data, intellectual property, high-skilled jobs, and investment returns remain outside of Daegu.  While the operation of testing facilities and demand for short-term stays remain in Daegu, the profits upstream of the AI ​​robot value chain do not accrue to the city.  The higher the facility utilization rate, the greater this exclusivity may become.

Therefore, Daegu's leading position in AI robots cannot be determined solely by the success of the National Robot Test Field. The actual criterion for judgment lies not in the number of uses by external companies, but in how much that use leads to joint development with Daegu companies, local procurement, the settlement of research personnel, and subsequent investment. Daegu's competitiveness is determined not by the fact that it possesses facilities, but by how much regional knowledge assets it accumulates from neutral national assets .