Asia-Pacific all-in-one modular data center market expected to grow from US$ 457.4 Mn in 2018 to US$ 3,944.8 Mn by the year 2027. This represents a CAGR of 27.3% from the year 2018 to 2027.
Key driving factors for Asia-Pacific all-in-one modular data center market are high speed of deployment as compared to traditional data center and high stability and reliability factor. Scalability is a key strategy to conserve capital by paying what is required and when it is required for the business. In the early 2000’s it was observed that when oversized data centers were built for an IT load that was never materialized. All-in-one modular data centers can be easily ‘stepped and repeated’ to accommodate growth in IT business as the need for more compute arises. Once the all-in-one modular data center are fully utilized, another one can be deployed in the different or same facility depending on the available space, electrical, and bandwidth capacity. The features such as standardized, prefabricated nature, smaller kW increments make all-in-one modular data centers highly scalable solution compared to traditional purpose-built data centers.
The reliability of the data center is determined by the extent to which its system is customized. The standard model is more reliable and cost-effective than a customized solution. While larger data centers could be standardized, it’s much easier and practical to standardize smaller ones. This is one of the key reliability advantage of all-in-one modular data centers. One of the common method vendors use to increase the reliability of traditional data centers are by adding redundant systems. When geography is distributed, such as with edge computing, data centers gain reliable improvement through geographic redundancy with the use of orchestration and automated workload mirroring. This is analogous to distributing the storage drives of a RAID array across the country and using software to recover data if any of the drives fail. The smaller the data centers get, the more distributed, less oversized, and resilient this array of data centers becomes. This is another key reliability advantage of all-in-one modular data centers.
Currently, the rest of Asia-Pacific is dominating the Asia-Pacific all-in-one modular data center market, which in turn boost the demand for all-in-one modular data center. Rest of APAC includes Taiwan, Singapore, Malaysia, Indonesia, Bhutan, Bangladesh, and many others. These countries are implementing digital transformation into different industry verticals. For instance, Malaysia is using intelligent automation and advanced analytics to help transform the passenger experience at the Kuala Lumpur International Airport, Singapore’s Infocomm and Media Development Authority (IMDA) announced the implementation of the digital transformation for supporting and accelerating Singapore’s shift to a digital economy. Further, internet penetration is accelerating at a rapid pace, demand for more data by the population. The figure given below highlights the revenue share of South Korea in the Asia-Pacific all-in-one modular data center market in the forecast period:
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Asia-Pacific ALL-IN-ONE MODULAR DATA CENTER MARKET - SEGMENTATION
Asia-Pacific All-in-one modular data center Market by Customized Container Types
- Standard 20 ft. Container Module
- Standard 40 ft. Container Module
- Other Customized Container Module
Asia-Pacific All-in-one modular data center Market by Deployment Type
- Indoor
- Outdoor
Asia-Pacific All-in-one modular data center Market by End-User
- BFSI
- Telecom & IT
- OTT
- Government
- Healthcare
- Others
Asia-Pacific All-in-one modular data center Market by Country
- China
- Japan
- South Korea
- India
- Australia
- Rest of APAC
Companies Mentioned
- Rittal GmbH & Co. KG
- BLADEROOM GROUP LTD
- DELL TECHNOLOGIES INC
- Hewlett Packard Enterprise Development LP
- Flexenclosure AB
- Huawei Technologies Co., Ltd
- IBM Corporation
- Schneider Electric SE
- Active Power, Inc.
- NTT Communications Corporation
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Customized Container Types, Deployment Type, End-users
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Australia, China, Japan, South Korea
1. Introduction
1.1 Scope Of The Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
1.3.1 Asia-Pacific All-in-One Modular Data Center Market – By Customized Container Types
1.3.2 Asia-Pacific All-in-One Modular Data Center Market – By Deployment Type
1.3.3 Asia-Pacific Asia-Pacific All-in-One Modular Data Center Market – By End-user
1.3.4 Asia-Pacific All-in-One Modular Data Center Market – By Country
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Asia-Pacific All-in-One Modular Data Center Market Landscape
4.1 Market Overview
4.2 PEST Analysis
4.2.1 Asia Pacific PEST Analysis
4.3 Ecosystem Analysis
5. All-In-One Modular Data Center Market – Key Industry Dynamics
5.1 Driver
5.1.1 High deployment speed as compared to traditional data center
5.1.2 High scalability and reliability offered by all-in-one modular data centers to have a positive impact on market demand
5.2 Restraints
5.2.1.1 Limited supporting infrastructure might hinder the market growth
5.3 Opportunity:
5.3.1 Hyper converged and Compaction in all-in-one modular data center
5.4 Future Trends:
5.4.1 Growing adoption of green all-in-one modular data centers
5.5 Impact Analysis
6. Asia-Pacific All-In-One Modular Data Center–Market Analysis
6.1 Asia-Pacific All-In-One Modular Data Center Market Overview
6.2 Asia-Pacific All-In-One Modular Data Center Market Forecast And Analysis
7. Asia-Pacific All-In-One Modular Data Center Market Analysis – By Customized Container Types
7.1 Overview
7.2 Asia-Pacific All-In-One Modular Data Center Market Breakdown, By Customized Container Types, 2018 & 2027
7.3 Standard 20ft. Container Module
7.3.1 Overview
7.3.2 Asia-Pacific Standard 20ft. Container Module Revenue and Forecasts to 2027 (US$ Mn)
7.4 Standard 40ft. Container Module
7.4.1 Overview
7.4.2 Asia-Pacific Standard 40ft. Container Module Market Revenue and Forecasts to 2027 (US$ Mn)
7.5 Other Customized Container
7.5.1 Overview
7.5.2 Asia-Pacific Other Customized Container Market Revenue and Forecasts to 2027 (US$ Mn)
8. Asia-Pacific All-In-One Modular Data Center Market Analysis – By Deployment Type
8.1 Overview
8.2 Asia-Pacific All-In-One Modular Data Center Market Breakdown, By Deployment Type, 2018 & 2027
8.3 Indoor
8.3.1 Overview
8.3.2 Asia-Pacific Indoor Revenue and Forecasts to 2027 (US$ Mn)
8.4 Outdoor
8.4.1 Overview
8.4.2 Asia-Pacific Outdoor Market Revenue and Forecasts to 2027 (US$ Mn)
9. Asia-Pacific All-In-One Modular Data Center Market Analysis – By End-User
9.1 Overview
9.2 Asia-Pacific All-In-One Modular Data Center Market Breakdown, By End-User, 2018 & 2027
9.3 BFSI
9.3.1 Overview
9.3.2 Asia-Pacific BFSI and Forecasts to 2027 (US$ Mn)
9.4 Healthcare
9.4.1 Overview
9.4.2 Asia-Pacific Healthcare Revenue and Forecasts to 2027 (US$ Mn)
9.5 OTT
9.5.1 Overview
9.5.2 Asia-Pacific OTT Revenue and Forecasts to 2027 (US$ Mn)
9.6 Telecom & IT
9.6.1 Overview
9.6.2 Asia-Pacific Telecom & IT Revenue and Forecasts to 2027 (US$ Mn)
9.7 Government
9.7.1 Overview
9.7.2 Asia-Pacific Government Revenue and Forecasts to 2027 (US$ Mn)
9.8 Others
9.8.1 Overview
9.8.2 Asia-Pacific Others Revenue and Forecasts to 2027 (US$ Mn)
10. Asia-Pacific All-In-One Modular Data Center Market Country Analysis
10.1 Overview
10.1.1 Asia Pacific All-in-One Modular Data Center Market Breakdown, by Key Countries
10.1.1.1 China All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.1.1 China All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.1.2 China All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.1.3 China All-in-One Modular Data Center Market Breakdown by End-user
10.1.1.2 Japan All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.2.1 Japan All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.2.2 Japan All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.2.3 Japan All-in-One Modular Data Center Market Breakdown by End-user
10.1.1.3 South Korea All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.3.1 South Korea All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.3.2 South Korea All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.3.3 South Korea All-in-One Modular Data Center Market Breakdown by End-user
10.1.1.4 India All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.4.1 India All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.4.2 India All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.4.3 India All-in-One Modular Data Center Market Breakdown by End-user
10.1.1.5 Australia All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.5.1 Australia All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.5.2 Australia All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.5.3 Australia All-in-One Modular Data Center Market Breakdown by End-user
10.1.1.6 Rest of APAC All-in-One Modular Data Center Market Revenue and Forecasts to 2027 (US$ MN)
10.1.1.6.1 Rest of APAC All-in-One Modular Data Center Market Breakdown by Customized Container Types
10.1.1.6.2 Rest of APAC All-in-One Modular Data Center Market Breakdown by Deployment Type
10.1.1.6.3 Rest of APAC All-in-One Modular Data Center Market Breakdown by End-user
11. Industry Landscape
11.1 Overview
11.2 Market Initiatives And New Developments
12. Company Profile
12.1 Rittal Gmbh & Co. KG
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Products and Services
12.1.4 Financial Overview
12.1.5 SWOT Analysis
12.1.6 Key Developments
12.2 Bladeroom Group Ltd
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Products and Services
12.2.4 Financial Overview
12.2.5 SWOT Analysis
12.2.6 Key Developments
12.3 Dell Technologies Inc.
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Product and Services
12.3.4 Financial Overview
12.3.5 SWOT Analysis
12.3.6 Key Developments
12.4 Flexenclosure AB
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Products and Services
12.4.4 Financial Overview
12.4.5 SWOT Analysis
12.4.6 Key Developments
12.5 Hewlett Packard Enterprise Development LP(HPE)
12.5.1 Key Facts
12.5.2 Business Description
12.5.3 Products and Services
12.5.4 Financial Overview
12.5.5 SWOT Analysis
12.5.6 Key Developments
12.6 Huawei Technologies Co., Ltd.
12.6.1 Key Facts
12.6.2 Business Description
12.6.3 Products and Services
12.6.4 Financial Overview
12.6.5 SWOT Analysis
12.6.6 Key Developments
12.7 International Business Machines Corporation
12.7.1 Key Facts
12.7.2 Business Description
12.7.3 Products and Services
12.7.4 Financial Overview
12.7.5 SWOT Analysis
12.7.6 Key Developments
12.8 Schneider Electric SE
12.8.1 Key Facts
12.8.2 Business Description
12.8.3 Products and Services
12.8.4 Financial Overview
12.8.5 SWOT Analysis
12.8.6 Key Developments
12.9 Active Power, Inc.
12.9.1 Key Facts
12.9.2 Business Description
12.9.3 Product and Services
12.9.4 Financial Overview
12.9.5 SWOT Analysis
12.9.6 Key Developments
12.10 NTT Communications Corporation
12.10.1 Key Facts
12.10.2 Business Description
12.10.3 Financial Overview
12.10.4 SWOT Analysis
12.10.5 Key Developments
13. Appendix
13.1 About The Insight Partners
13.2 Glossary
LIST OF TABLES
Table 1. Asia-Pacific All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Table 2. Asia Pacific All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 3. Asia Pacific All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 4. Asia Pacific All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 5. China All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 6. China All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 7. China All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 8. China All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 9. Japan All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 10. Japan All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 11. Japan All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 12. South Korea All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 13. South Korea All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 14. South Korea All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 15. India All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 16. India All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 17. India All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 18. Australia All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 19. Australia All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 20. Australia All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 21. Rest Of APAC All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Customized Container Types (Us$ Mn)
Table 22. Rest Of APAC All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By Deployment Type (Us$ Mn)
Table 23. Rest Of APAC All-In-One Modular Data Center Market Revenue And Forecasts To 2027 – By End-User (Us$ Mn)
Table 24. Glossary Of Terms, All-In-One Modular Data Center Market
LIST OF FIGURES
Figure 1. Asia-Pacific All-In-One Modular Data Center Market Segmentation
Figure 2. Asia-Pacific All-In-One Modular Data Center Market Segmentation – By Country
Figure 3. Asia-Pacific All-In-One Data Center, Market Revenue And Forecast To 2027
Figure 4. Asia Pacific All-In-One Modular Data Center Market, 2018 To 2027 (%)
Figure 5. Asia-Pacific All-In-One Modular Data Center Market Breakdown By End-User
Figure 6. Asia Pacific Pest Analysis
Figure 7. Asia-Pacific All-In-One Modular Data Center – Ecosystem Analysis
Figure 8. Impact Analysis
Figure 9. Asia-Pacific All-In-One Modular Data Center Market Forecast And Analysis, (Us$ Mn)
Figure 10. Asia-Pacific All-In-One Modular Data Center Market Breakdown By Customized Container Types, 2018 & 2027 (%)
Figure 11. Asia-Pacific Standard 20ft. Container Module Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 12. Asia-Pacific Standard 40ft. Container Module Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 13. Asia-Pacific Other Customized Container Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 14. Asia-Pacific All-In-One Modular Data Center Market Breakdown By Deployment Type, 2018 & 2027 (%)
Figure 15. Asia-Pacific Indoor Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 16. Asia-Pacific Outdoor Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 17. Asia-Pacific All-In-One Modular Data Center Market Breakdown By End-User, 2018 & 2027 (%)
Figure 18. Asia-Pacific Bfsi Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 19. Asia-Pacific Healthcare Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 20. Asia-Pacific Ott Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 21. Asia-Pacific Telecom & It Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 22. Asia-Pacific Government Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 23. Asia-Pacific Others Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 24. Asia Pacific All-In-One Modular Data Center Market Breakdown By Key Countries, 2018 & 2027(%)
Figure 25. China All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 26. Japan. All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 27. South Korea All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 28. India All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 29. Australia All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
Figure 30. Rest Of APAC All-In-One Modular Data Center Market Revenue And Forecasts To 2027 (Us$ Mn)
The List of Companies
- Rittal GmbH & Co. KG
- BLADEROOM GROUP LTD
- DELL TECHNOLOGIES INC
- Hewlett Packard Enterprise Development LP
- Flexenclosure AB
- Huawei Technologies Co., Ltd
- IBM Corporation
- Schneider Electric SE
- Active Power, Inc.
- NTT Communications Corporation
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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