Global Data Warehouse as a Service Market Size study & Forecast, by Organisation Size (Large Enterprises, Small & Medium Enterprises), End Use Industry (BFSI, Government, Healthcare, E-Commerce and Retail, Media, and Entertainment, Other) and Regional Analysis, 2022-2029
Global Data Warehouse as a Service Market is valued at approximately USD 4.60 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 22.80 % over the forecast period 202... もっと見る
SummaryGlobal Data Warehouse as a Service Market is valued at approximately USD 4.60 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 22.80 % over the forecast period 2022-2029. Data warehouse as a service (DWaaS) is based on an outsourcing model in which a cloud service provider takes care of hardware and software resources a data warehouse requires, and the customer provides the data and pays for the data storage service. The adoption of DWaaS service offers various advantages such as reduced data management costs, offers scalability, and reduced staffing needs among others. The increasing adoption of Cloud-based Solutions & services as well as the growing focus over data analytics and business intelligence solutions are key factors accelerating the market growth.The increasing adoption of cloud-based solutions and services is contributing towards the expansion of the Global Data Warehouse as a Service Market. For instance, - according to Statista- in 2021, the global cloud applications market was valued at USD 133.6 billion, and the market is projected to grow to USD 168.6 billion by 2025. Also, increasing investment in data center infrastructure and the growing emergence of remote & hybrid work cultures would create lucrative growth prospectus for the market over the forecast period. For instance, in September 2022, India based Adani Group announced an investment of USD 100 billion over the next ten years towards new energy and digital space that includes data centers. However, rising concern over data security stifles market growth throughout the forecast period of 2022-2029. The key regions considered for the Global Data Warehouse as a Service Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the availability of leading cloud service providers and increasing investment in technologically advanced data warehouse infrastructure in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising investment in the development of data warehouse infrastructure and the increasing popularity of remote working culture in the region. Major market player included in this report are: Actian Corporation Amazon Web Services Inc. AtScale Google LLc Hortonworks Mark Logic Corporation Micro Focus Microsoft Corporation Netavis Software GmbH Oracle Corporation Recent Developments in the Market: In December 2021, SimCorp has announced the launch of its Cloud Data Warehouse, powered by Snowflake enables SimCorp clients to access all the data based on their requirements. Moreover, Snowflake’s Data Cloud built-in scalability allows new sources of data to be rapidly onboarded when required. In June 2022, in California, USA-based yellow brick announced the launch of the latest version of its data warehouse platform. The cloud-native elastic data warehouse from Yellowbrick scales with increasing corporate data needs, operates both on-premises and in the cloud, and features a straightforward pricing structure with predictable prices. Global Data Warehouse as a Service Market Report Scope: Historical Data 2019-2020-2021 Base Year for Estimation 2021 Forecast period 2022-2029 Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends Segments Covered Organization Size, End Use Industry, Region Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope* The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study. The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below: By Organisation Size Large Enterprises Small & Medium Enterprises By End Use industry BFSI Government Healthcare E-Commerce and Retail Media and Entertainment Other By Region: North America U.S. Canada Europe UK Germany France Spain Italy ROE Asia Pacific China India Japan Australia South Korea RoAPAC Latin America Brazil Mexico RoLA Rest of the World Table of ContentsChapter 1. Executive Summary1.1. Market Snapshot 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion) 1.2.1. Data Warehouse as a Service Market, by Region, 2019-2029 (USD Billion) 1.2.2. Data Warehouse as a Service Market, by Organization Size, 2019-2029 (USD Billion) 1.2.3. Data Warehouse as a Service Market, by End Use Industry, 2019-2029 (USD Billion) 1.3. Key Trends 1.4. Estimation Methodology 1.5. Research Assumption Chapter 2. Global Data Warehouse as a Service Market Definition and Scope 2.1. Objective of the Study 2.2. Market Definition & Scope 2.2.1. Scope of the Study 2.2.2. Industry Evolution 2.3. Years Considered for the Study 2.4. Currency Conversion Rates Chapter 3. Global Data Warehouse as a Service Market Dynamics 3.1. Data Warehouse as a Service Market Impact Analysis (2019-2029) 3.1.1. Market Drivers 3.1.1.1. Increasing adoption of Cloud-based Solutions & services 3.1.1.2. Growing focus over data analytics and business intelligence solutions 3.1.2. Market Challenges 3.1.2.1. Concern over data security 3.1.3. Market Opportunities 3.1.3.1. Increasing investment in data center infrastructure 3.1.3.2. Growing emergence of remote & hybrid work culture Chapter 4. Global Data Warehouse as a Service Market Industry Analysis 4.1. Porter’s 5 Force Model 4.1.1. Bargaining Power of Suppliers 4.1.2. Bargaining Power of Buyers 4.1.3. Threat of New Entrants 4.1.4. Threat of Substitutes 4.1.5. Competitive Rivalry 4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029) 4.3. PEST Analysis 4.3.1. Political 4.3.2. Economical 4.3.3. Social 4.3.4. Technological 4.4. Top investment opportunity 4.5. Top winning strategies 4.6. Industry Experts Prospective 4.7. Analyst Recommendation & Conclusion Chapter 5. Risk Assessment: COVID-19 Impact 5.1. Assessment of the overall impact of COVID-19 on the industry 5.2. Pre COVID-19 and post COVID-19 Market scenario Chapter 6. Global Data Warehouse as a Service Market, by Organization Size 6.1. Market Snapshot 6.2. Global Data Warehouse as a Service Market by Organization Size, Performance - Potential Analysis 6.3. Global Data Warehouse as a Service Market Estimates & Forecasts by Organization Size 2019-2029 (USD Billion) 6.4. Data Warehouse as a Service Market, Sub Segment Analysis 6.4.1. Large Enterprises 6.4.2. Small and Medium Enterprises Chapter 7. Global Data Warehouse as a Service Market, by End Use Industry 7.1. Market Snapshot 7.2. Global Data Warehouse as a Service Market by End Use Industry, Performance - Potential Analysis 7.3. Global Data Warehouse as a Service Market Estimates & Forecasts by End Use Industry 2019-2029 (USD Billion) 7.4. Data Warehouse as a Service Market, Sub Segment Analysis 7.4.1. BFSI 7.4.2. Government 7.4.3. Healthcare 7.4.4. E-Commerce and Retail 7.4.5. Media and Entertainment 7.4.6. Other Chapter 8. Global Data Warehouse as a Service Market, Regional Analysis 8.1. Data Warehouse as a Service Market, Regional Market Snapshot 8.2. North America Data Warehouse as a Service Market 8.2.1. U.S. Data Warehouse as a Service Market 8.2.1.1. Organization Size breakdown estimates & forecasts, 2019-2029 8.2.1.2. End Use Industry breakdown estimates & forecasts, 2019-2029 8.2.2. Canada Data Warehouse as a Service Market 8.3. Europe Data Warehouse as a Service Market Snapshot 8.3.1. U.K. Data Warehouse as a Service Market 8.3.2. Germany Data Warehouse as a Service Market 8.3.3. France Data Warehouse as a Service Market 8.3.4. Spain Data Warehouse as a Service Market 8.3.5. Italy Data Warehouse as a Service Market 8.3.6. Rest of Europe Data Warehouse as a Service Market 8.4. Asia-Pacific Data Warehouse as a Service Market Snapshot 8.4.1. China Data Warehouse as a Service Market 8.4.2. India Data Warehouse as a Service Market 8.4.3. Japan Data Warehouse as a Service Market 8.4.4. Australia Data Warehouse as a Service Market 8.4.5. South Korea Data Warehouse as a Service Market 8.4.6. Rest of Asia Pacific Data Warehouse as a Service Market 8.5. Latin America Data Warehouse as a Service Market Snapshot 8.5.1. Brazil Data Warehouse as a Service Market 8.5.2. Mexico Data Warehouse as a Service Market 8.5.3. Rest of Latin America Data Warehouse as a Service Market 8.6. Rest of The World Data Warehouse as a Service Market Chapter 9. Competitive Intelligence 9.1. Top Market Strategies 9.2. Company Profiles 9.2.1. Actian Corporation 9.2.1.1. Key Information 9.2.1.2. Overview 9.2.1.3. Financial (Subject to Data Availability) 9.2.1.4. Product Summary 9.2.1.5. Recent Developments 9.2.2. Amazon Web Services Inc. 9.2.3. AtScale 9.2.4. Google LLc 9.2.5. Hortonworks 9.2.6. Mark Logic Corporation 9.2.7. Micro Focus 9.2.8. Microsoft Corporation 9.2.9. Netavis Software GmbH 9.2.10. Oracle Corporation Chapter 10. Research Process 10.1. Research Process 10.1.1. Data Mining 10.1.2. Analysis 10.1.3. Market Estimation 10.1.4. Validation 10.1.5. Publishing 10.2. Research Attributes 10.3. Research Assumption
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