The global DCIM market size is anticipated to gain astonishing growth from 2023 to 2033. According to the research report published by Future Market Insights, the global market is predicted to exceed a valuation of US$ 3,540.4 million in 2023. It is anticipated to hit a valuation of US$ 15,295.3 million by 2033. The market is estimated to showcase a splendid CAGR of 15.8% from 2023 to 2033.
Gaining end-to-end visibility for predicting capacity requirements is an utmost priority for several businesses. The necessity to integrate monitoring systems with disparate applications and databases for better data accuracy is rising. The emergence of next-generation DCIM offerings is boosting the market’s growth potential.
The mandate of the data center optimization initiative to address critical infrastructure inefficiencies is creating growth opportunities. The demand for DCIM-integrated monitoring systems with disparate applications and databases for better data accuracy is bolstering. These drivers are strongly influencing the market sales of DCIM and their adoption rate.
IT management is essential because of how the equipment is crammed into the data center space. These factors indicate the pressing need, which underlies the robust regional DCIM sales. The market's growth is likely to be aided by rising demand for DCIM in the cloud and data traffic traveling from and within data centers.
According to Cisco Systems, IP traffic in cloud data centers is expected to increase to 19,509 exabytes by 2023. Market vendors are focussing on increasing their product portfolios by emphasizing sales of DCIM. They are focusing on higher power consumption capacity and reduced space needs. For instance, to meet specific customer requirements, nVent Schroff GmbH introduced its Power Distribution Unit (PDU) platform. SCHROFF RackPower Intelligent is utilized for networking and data center infrastructure. It features easy customization and configuration with no minimum quantity requirements.
Snowballing demand for cloud computing, big data, and artificial intelligence aids market expansion significantly. These technologies can help providers to scale their businesses based on demand. Automated tasks help in reducing the workload and improve efficiency. Real-time information gathering helps in streamlining overall operations.
| Attributes | Details |
|---|---|
| DCIM Market Share (2022) | US$ 3,100.2 million |
| DCIM Market Share (2023) | US$ 3,540.4 million |
| DCIM Market Share (2033) | US$ 15,295.3 million |
| DCIM Market Share (2023 to 2033) | 15.8% |
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The global data center infrastructure management market expanded at a captivating CAGR of 13.7% from 2018 to 2022. In 2018, the global market size stood at US$ 1,851.8 million. In the following years, the market gained significant traction, accounting for US$ 3,100.2 million.
In recent years, digitalization and internet reach have astronomically increased. Businesses are rapidly dispersing computer resources across many settings. Such as cloud servers, edge data centers, and physical systems.
According to the 2018 Voice of the Enterprise: Datacenter Transformation, Budgets, and Outlook study, 57% of respondents said they use cloud service providers. Nearly 54% said they own and run their data centers. Around 41% said they rent space from colocation data center operators.
The adoption of the hybrid strategy for demand for DCIM agility and 24x7 connection has resulted in a surge in the utilization of Software as a Service (SaaS) solutions. Because more equipment is squeezed into the data center area, IT management is critical. These factors point to the demanding necessity, hence strong sales of DCIM are predicted.
As the market develops, data center operators' need for end-to-end visibility across infrastructure increases. However, the data center industry is going through a significant shift due to the introduction of supplementary and new technologies. Data centers, IT, and facility operators are gradually implementing tools like DCIM. To gain comprehensive visibility into key data centers infrastructure information, such as operations, configuration, and resource consumption.
By solutions, the facility management segment is anticipated to garner swift growth in the coming years. The segment captured a market share of 40.3% in 2022. Facility management is integral in ensuring that data centers run efficiently. They can help in the identification of areas to save energy and cut costs. The increasing energy costs impel data center operators to increase energy efficiency. As data centers become more complex, facility management’s demand is bound to augment.
The IT asset management segment is anticipated to witness substantial growth. The increasing adoption of cloud computing is boosting the need to manage mushroom IT assets. Due to the growing numbers of IT assets in different locations, IT asset management becomes more critical. To ensure proper compliance, security, and utilization of resources, demand for IT asset management in the market is likely to escalate. Racks, Hyperview, Sunbird Software, and Nlyte Software, are a few of the DCIM market companies with notable IT asset management features.
The Banking, Financial Services, and Insurance (BFSI) industry vertical captured 21.2% of the global market share in 2022. For the BFSI vertical, data centers enable business continuity by concentrating on concerns such as manageability, scalability, efficiency, and energy efficiency. These concerns may not be addressed until data centers are properly monitored. The growing demand for digital banking services impels the NFSI industry to manage large amounts of data and IT infrastructure. The increasing data traffic in the BFSI sector is likely to bolster the segment’s expansion.
Cloud services are being adopted by the Information Technology (IT) sector. Cloud services assist reduce operating expenses and provide high business continuity. The use of cloud services in the IT sector necessitates data centers that can store and analyze data in real-time. Sales of DCIM in this area provide significant computational power and minimize time to market. Data centers also provide services in the form of overlays or Virtual Local Area Networks (VLANs), such as virtual machine disc libraries, file or object storage, firewalls, load balancers, IP addresses, or network connections.
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The North America DCIM market exhibited a CAGR of 28.4% in 2022. The data center market in the Western region of the United States is established and developed. The area has excellent connectivity and is adjacent to IT centers, making it a smart investment for data center operators.
California comprises nearly 90% of digital businesses, including cloud service providers and other IT and technology firms. The demand for additional data center infrastructures is being driven by the increasing use of mobile broadband, cloud computing, and big data analytics. Additionally, the growing popularity of cloud computing among organizations in North America is escalating. The falling server prices are anticipated to uptick demand for DCIM throughout the forecast period.
Asia Pacific is a swiftly developing region in the DCIM market, with significant data center development investments. Huge investments in verticals such as BFSI, retail, healthcare, manufacturing, telecommunications, and IT are being made in key nations such as India, China, and Japan. Resulting in the development and economic expansion in Asia Pacific countries.
China garnered a 15.4% market share in 2022. The demand for DCIM in this region continues to rise with the increase in internet-enabled gadgets grows. This surge in development has spurred data center building in the area, which is likely to drive sales of DCIM solutions and service adoption.
India captured a 14.6% market share in 2022. As part of a green effort, governments around the area are proposing new energy efficiency rules. These include carbon emission taxes, efficient power consumption, and other measures. The demand for DCIM software to manage data centers is necessitated by such regulatory constraints.
Owing to certain sizable competitors, such as IBM, Siemens, and Schneider Electric, which are present in the DCIM market, there is fierce competition. They have gained a competitive advantage over other players due to their capacity to constantly develop their services. They've been able to gain a firmer footing in the market through strategic alliances, research and development, and mergers and acquisitions.
The key players are concentrating on releasing products and services that, depending on numerous factors, align with shifting business dynamics. The key players may work together by forming strategic alliances to enter new markets.
Recent Developments in the DCIM Market:
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| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ million for Value |
| Key Regions Covered | North America, Latin America, Europe, East Asia, South Asia, Oceania & The Middle East and Africa |
| Key Countries Covered | United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Spain, Italy, Russia, Benelux, South Africa, Northern Africa GCC Countries, China, Japan, South Korea, India, Thailand, Malaysia, Indonesia, Australia & New Zealand. |
| Key Segments Covered | The solution, Component, Industry Vertical, and Region. |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Trend Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The key Asian countries in the market are China, India, and Japan.
The IT and telecoms industries are the primary DCIM consumers.
The United States is anticipated to register a CAGR of 10% from 2023 to 2033.
In 2023, the global DCIM market was estimated to be worth US$ 3,540.3 million.
The global DCIM market is expected to reach US$ 15.295.3 billion by 2033.
1. Executive Summary | DCIM Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033 5.3.1. Solution 5.3.1.1. Asset Management 5.3.1.2. Network Management 5.3.1.3. Cooling Management 5.3.1.4. Power Management 5.3.1.5. Security Management 5.3.2. Service 5.3.2.1. Installation & Integration 5.3.2.2. Managed 5.3.2.3. Consulting 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Model 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Model, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033 6.3.1. On-Premises 6.3.2. Cloud 6.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Deployment Model, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry Vertical 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Industry Vertical, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry Vertical, 2023 to 2033 7.3.1. Banking, Financial Services and Insurance 7.3.2. Government and Public Sector 7.3.3. Healthcare and Life Sciences 7.3.4. IT and ITeS 7.3.5. Manufacturing 7.3.6. Telecommunications 7.3.7. Others 7.4. Y-o-Y Growth Trend Analysis By Industry Vertical, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Industry Vertical, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. South Asia 8.3.5. East Asia 8.3.6. Oceania 8.3.7. MEA 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Component 9.2.3. By Deployment Model 9.2.4. By Industry Vertical 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Component 9.3.3. By Deployment Model 9.3.4. By Industry Vertical 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Component 10.2.3. By Deployment Model 10.2.4. By Industry Vertical 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Deployment Model 10.3.4. By Industry Vertical 10.4. Key Takeaways 11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. United Kingdom 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Europe 11.2.2. By Component 11.2.3. By Deployment Model 11.2.4. By Industry Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Deployment Model 11.3.4. By Industry Vertical 11.4. Key Takeaways 12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Malaysia 12.2.1.3. Singapore 12.2.1.4. Thailand 12.2.1.5. Rest of South Asia 12.2.2. By Component 12.2.3. By Deployment Model 12.2.4. By Industry Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Deployment Model 12.3.4. By Industry Vertical 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Component 13.2.3. By Deployment Model 13.2.4. By Industry Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Deployment Model 13.3.4. By Industry Vertical 13.4. Key Takeaways 14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. Australia 14.2.1.2. New Zealand 14.2.2. By Component 14.2.3. By Deployment Model 14.2.4. By Industry Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Deployment Model 14.3.4. By Industry Vertical 14.4. Key Takeaways 15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Component 15.2.3. By Deployment Model 15.2.4. By Industry Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By Deployment Model 15.3.4. By Industry Vertical 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Component 16.1.2.2. By Deployment Model 16.1.2.3. By Industry Vertical 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Component 16.2.2.2. By Deployment Model 16.2.2.3. By Industry Vertical 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Component 16.3.2.2. By Deployment Model 16.3.2.3. By Industry Vertical 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Component 16.4.2.2. By Deployment Model 16.4.2.3. By Industry Vertical 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Component 16.5.2.2. By Deployment Model 16.5.2.3. By Industry Vertical 16.6. United Kingdom 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Component 16.6.2.2. By Deployment Model 16.6.2.3. By Industry Vertical 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Component 16.7.2.2. By Deployment Model 16.7.2.3. By Industry Vertical 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Component 16.8.2.2. By Deployment Model 16.8.2.3. By Industry Vertical 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Component 16.9.2.2. By Deployment Model 16.9.2.3. By Industry Vertical 16.10. India 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Component 16.10.2.2. By Deployment Model 16.10.2.3. By Industry Vertical 16.11. Malaysia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Component 16.11.2.2. By Deployment Model 16.11.2.3. By Industry Vertical 16.12. Singapore 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Component 16.12.2.2. By Deployment Model 16.12.2.3. By Industry Vertical 16.13. Thailand 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Component 16.13.2.2. By Deployment Model 16.13.2.3. By Industry Vertical 16.14. China 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Component 16.14.2.2. By Deployment Model 16.14.2.3. By Industry Vertical 16.15. Japan 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Component 16.15.2.2. By Deployment Model 16.15.2.3. By Industry Vertical 16.16. South Korea 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Component 16.16.2.2. By Deployment Model 16.16.2.3. By Industry Vertical 16.17. Australia 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Component 16.17.2.2. By Deployment Model 16.17.2.3. By Industry Vertical 16.18. New Zealand 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Component 16.18.2.2. By Deployment Model 16.18.2.3. By Industry Vertical 16.19. GCC Countries 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Component 16.19.2.2. By Deployment Model 16.19.2.3. By Industry Vertical 16.20. South Africa 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Component 16.20.2.2. By Deployment Model 16.20.2.3. By Industry Vertical 16.21. Israel 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Component 16.21.2.2. By Deployment Model 16.21.2.3. By Industry Vertical 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Component 17.3.3. By Deployment Model 17.3.4. By Industry Vertical 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. ABB Ltd. 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. Commscope, Inc. 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. Cormant, Inc. 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Eaton Corporation 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. IBM Corporation 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Delta Electronic Inc. 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Cisco Systems Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. Infosys Limited 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. NTT Data Corporation 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Modius Inc. 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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