Big Data as a Service Market size is expected to reach US$ 151.47 Bn by 2029, at a CAGR of 22.80% during the forecast period. Big Data and Cloud, two of the growing Enterprise Computing technologies, hold a lot of promise for a new era of integrated applications. The availability of Big Data analytical capabilities via cloud delivery models might facilitate adoption for many businesses, resulting in significant cost savings as well as beneficial insights that could offer them various types of competitive advantages. Big data and analytics technologies allow new digital services and are frequently associated with greater performance. Firms that invest in big data, on the other hand, frequently fail to reap such benefits. Marketing researchers want new theoretical methods and empirical techniques that account for the digital environment to address the problems of how and when big data pays off. For modern industry, data created by machines and gadgets, cloud-based solutions, business management, and other sources has reached a total volume of more than 1000 Exabytes per year and is estimated to increase 20-fold over the next decade. Big data will play an essential part in the fourth industrial revolution from an industry standpoint. The Big Data as a Service Market is segmented based on Component, Deployment Type, Organization Size, End User, and Region. The growth of various segments helps our clients in acquiring knowledge of the many growth factors expected to be prevalent throughout the market and develop different strategies to help identify core application areas and the gap in the target market. The report provides an in-depth analysis of the market and contains meaningful insights, facts, historical data, and statistically supported and industry-validated market statistics.To know about the Research Methodology :- Request Free Sample Report The report also expects that the total data in the world to grow almost 400% to approximately 35 zettabytes in 2021. The growth in global data represents the total amount of data generated, which may or may not be stored as voice calls or live video. The stored data represents the amount of data in persistent storage in the region specified. The report covers an in depth analysis of COVID 19 pandemic impact on Global Big Data as a Service Market by region and on the key players revenue affected till Dec. 2021 and is expected to short term and long term impact on the market.
Big Data as a Service Market Dynamic:
Data is produced and consumed as an intrinsic part of our everyday activities. Information is the key factor that drives the modern world, enabling activities from checking the weather to making complex business decisions based on stock prices. An increasing use of mobile devices and social media platforms contributed significantly to the massive increase in the amount of data produced. Unstructured communication such as instant messages, twitter feeds, GPS data, and user videos generate massive amounts of data every day. These large datasets, popularly known as Big Data, are difficult to manage using traditional computing technologies. The combination of Big Data technologies and cloud computing platforms has led to the emergence of a new category of technology called Big Data as a Service or BDaaS. An Increasing requirement of structured and unstructured data for analysis which helps the organizations to predict consumer behaviour and grow at rapid space. The demand for data science and predictive analysis is increasing which is driving the growth of big global data as a service market. Major challenge in Big Data implementations is determining their business value. According to the Maximize Market Research survey, over 56% of the technology leaders are trying to determine how to derive value for Big Data. In the same survey, 29% of the respondents mentioned that setting up and managing the infrastructure to manage Big Data is a major challenge. Organizations are finding it difficult to implement these Big Data technologies effectively due to problems such as lack of available expertise.Big Data as a Service Market Segmentation Analysis:
Global Big Data as a Service Market is segmented by Component, deployment Type, organization Size, end user and by region. By component, solution segment held 61.43% of market share in 2021 and is expected to keep its dominance over forecast period. Data generated in enterprises across industry verticals such as BFSI, Information Technology (IT) and Telecom, Healthcare and Life Sciences and eCommerce & Retail is increasing at a rapid rate. This has led to organizations emphasizing on extracting and leveraging insights from the enormous amount of big data generated in various departments to gain a competitive edge. Hence, organizations are adopting BDaaS solutions to collect, store, and analyze the massive volume of data. By deployment type, the public cloud is expected to hold 38.67% of market share over forecast period as it offers cost-efficiency to its clients. Private cloud is expected to hold 32.31% of market share at a CAGR of 23.54% over forecast period. The private cloud enables organizations to have full control over their systems and data with enhanced security and the hybrid cloud enables organizations to leverage the advantages of both private and public cloud as it offers both cost-efficiency and enhanced security.Big Data as a Service Market Regional Analysis:
By geography, North America held 38.76% of market share in 2021 and is expected to keep its dominance over forecast period owing to presence of major market players in this region. The United States is expected to hold major market share over forecast period as most of the major vendors in the market are US-based and the adoption of Big Data services is very high in the regional discrete manufacturing, banking, process manufacturing, professional services, and federal/central government sectors. North America is followed by Europe and APAC. Europe is expected to hold 27.85% of market share over forecast period. A rising inclination of European companies to leverage advanced technologies, such as advanced analytics, Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cloud is expected to boost the adoption of BDaaS solutions over forecast period.Big Data as a Service Market Competitive Landscape:
The Global Big Data as a Service Market has the presence of a large number of players. Major players in the market are concentrating on developing new technologies to facilitate the industry with lowest time and low expenditure consuming technologies. In the recent years there are many discoveries in the field of technologies such as quantum computing, AI, Block-chain, fog computing and edge computing etc. which in turn will help the industry to grow and resulting in boost to the competition too. Report covers in depth analysis of key development, and company profiles of market leaders, potential players and new entrants. Some of the key players covered in this report are IBM (US), Oracle (US), Microsoft (US), Google (US), AWS (US), SAP (Germany), Teradata (US), SAS (US), Dell Technologies (US) among others. These players are adopting various inorganic and organic growth strategies such as merger & acquisition, expansion, strategic alliances, joint ventures, collaboration, new product launches, diversification, and patent to increase their regional presence and business opeartions.Recent Developments in Market
• In October 2018, IBM acquired Red Hat Inc. for USD 34 billion. By this acquisition, IBM is set to become the world’s number one hybrid cloud provider, offering companies the only open cloud solution that may unlock the full value of the cloud for their businesses. • In May 2018, Oracle Corporation signed an agreement to acquire DataScience.com, whose platform centralizes data science tools, projects, and infrastructure in a fully-governed workspace. Oracle embeds AI and machine learning capabilities across its Software as a Service (SaaS) and Platform as a Service (PaaS) solutions, including big data, analytics, and security operations, to enable digital transformations. The objective of the report is to present a comprehensive analysis of the Global Big Data as a Service Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Big Data as a Service Market dynamics, structure by analyzing the market segments and project the Global Big Data as a Service Market. Clear representation of competitive analysis of key players by price, financial position, Product portfolio, growth strategies, and regional presence in the Global Big Data as a Service Market make the report investor’s guide.Big Data as a Service Market Scope: Inquire before buying
Big Data as a Service Market Report Coverage Details Base Year: 2021 Forecast Period: 2022-2029 Historical Data: 2017 to 2021 Market Size in 2021: US $ 29.29 Bn. Forecast Period 2022 to 2029 CAGR: 22.8% Market Size in 2029: US $ 151.47 Bn. Segments Covered: by Component • Solutions • Services by Deployment Type • Public Cloud • Hybrid Cloud • Private Cloud by Organization Size • Small and Medium-sized Enterprises (SMEs) • Large Enterprises by End User • BFSI • Information Technology (IT) and Telecom • Healthcare and Life Sciences • eCommerce and Retail • Manufacturing • Media and Entertainment • Others Big Data as a Service Market by Region
• North America • APAC • Europe • MEA& Africa • Latin AmericaBig Data as a Service Market Key Players
• IBM (US) • Oracle (US) • Microsoft (US) • Google (US) • AWS (US) • SAP (Germany) • Teradata (US) • SAS (US) • Dell Technologies (US) • HPE (US) • CenturyLink (US) • Splunk (US) • Cloudera (US) • Salesforce (US) • Qubole (US) • GoodData (US) • Hitachi Vantara (US) • IRI (US) • 1010data (US) • Guavus (US). • Hewlett Packard Enterprise • Accenture. • SunGard Data Systems Inc. • UST GLOBAL INC • MapR Technologies, Inc. Frequently Asked Questions: 1. Which region has the largest share in Global Big Data as a Service Market? Ans: North America region held the highest share in 2021. 2. What is the growth rate of Global Big Data as a Service Market? Ans: The Global Big Data as a Service Market is expected to grow at a CAGR of 22.8% during forecast period 2022-2029. 3. What is scope of the Global Big Data as a Service market report? Ans: Global Big Data as a Service Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Big Data as a Service market? Ans: The important key players in the Global Big Data as a Service Market are – IBM, Oracle, Microsoft, Google, AWS, SAP, Teradata, SAS, Dell Technologies, HPE, CenturyLink, Splunk, Cloudera, Salesforce, Qubole, GoodData, Hitachi Vantara, IRI, 1010data, Guavus, Hewlett Packard Enterprise, Accenture, SunGard Data Systems Inc, UST GLOBAL INC, MapR Technologies, and Inc 5. What is the study period of this market? Ans: The Global Big Data as a Service Market is studied from 2021 to 2029.
1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Big Data as a Service Market, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Big Data as a Service Market Analysis and Forecast 6.1. Global Big Data as a Service Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Big Data as a Service Market Analysis and Forecast, by Deployment Type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Big Data as a Service Market Value Share Analysis, by Deployment Type 7.4. Global Big Data as a Service Market Size (US$ Bn) Forecast, by Deployment Type 7.5. Global Big Data as a Service Market Analysis, by Deployment Type 7.6. Global Big Data as a Service Market Attractiveness Analysis, by Deployment Type 8. Global Big Data as a Service Market Analysis and Forecast, by Component 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Big Data as a Service Market Value Share Analysis, by Component 8.4. Global Big Data as a Service Market Size (US$ Bn) Forecast, by Component 8.5. Global Big Data as a Service Market Analysis, by Component 8.6. Global Big Data as a Service Market Attractiveness Analysis, by Component 9. Global Big Data as a Service Market Analysis and Forecast, by Organization Size 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Big Data as a Service Market Value Share Analysis, by Organization Size 9.4. Global Big Data as a Service Market Size (US$ Bn) Forecast, by Organization Size 9.5. Global Big Data as a Service Market Analysis, by Organization Size 9.6. Global Big Data as a Service Market Attractiveness Analysis, by Organization Size 10. Global Big Data as a Service Market Analysis and Forecast, by End User 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Big Data as a Service Market Value Share Analysis, by End User 10.4. Global Big Data as a Service Market Size (US$ Bn) Forecast, by End User 10.5. Global Big Data as a Service Market Analysis, by End User 10.6. Global Big Data as a Service Market Attractiveness Analysis, by End User 11. Global Big Data as a Service Market Analysis, by Region 11.1. Global Big Data as a Service Market Value Share Analysis, by Region 11.2. Global Big Data as a Service Market Size (US$ Bn) Forecast, by Region 11.3. Global Big Data as a Service Market Attractiveness Analysis, by Region 12. North America Big Data as a Service Market Analysis 12.1. Key Findings 12.2. North America Big Data as a Service Market Overview 12.3. North America Big Data as a Service Market Value Share Analysis, by Deployment Type 12.4. North America Big Data as a Service Market Forecast, by Deployment Type 12.4.1. Public Cloud 12.4.2. Hybrid Cloud 12.4.3. Private Cloud 12.5. North America Big Data as a Service Market Value Share Analysis, by Component 12.6. North America Big Data as a Service Market Forecast, by Component 12.6.1. Solutions 12.6.2. Services 12.7. North America Big Data as a Service Market Value Share Analysis, by Organization Size 12.8. North America Big Data as a Service Market Forecast, by Organization Size 12.8.1. Small and Medium-sized Enterprises (SMEs) 12.8.2. Large Enterprises 12.9. North America Big Data as a Service Market Value Share Analysis, by End User 12.10. North America Big Data as a Service Market Forecast, by End User 12.10.1. BFSI 12.10.2. Information Technology (IT) and Telecom 12.10.3. Healthcare and Life Sciences 12.10.4. eCommerce and Retail 12.10.5. Manufacturing 12.10.6. Media and Entertainment 12.10.7. Others 12.11. North America Big Data as a Service Market Value Share Analysis, by Country 12.12. North America Big Data as a Service Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America Big Data as a Service Market Analysis, by Country 12.14. U.S. Big Data as a Service Market Forecast, by Deployment Type 12.14.1. Public Cloud 12.14.2. Hybrid Cloud 12.14.3. Private Cloud 12.15. U.S. Big Data as a Service Market Forecast, by Component 12.15.1. Solutions 12.15.2. Services 12.16. U.S. Big Data as a Service Market Forecast, by Organization Size 12.16.1. Small and Medium-sized Enterprises (SMEs) 12.16.2. Large Enterprises 12.17. U.S. Big Data as a Service Market Forecast, by End User 12.17.1. BFSI 12.17.2. Information Technology (IT) and Telecom 12.17.3. Healthcare and Life Sciences 12.17.4. eCommerce and Retail 12.17.5. Manufacturing 12.17.6. Media and Entertainment 12.17.7. Others 12.18. Canada Big Data as a Service Market Forecast, by Deployment Type 12.18.1. Public Cloud 12.18.2. Hybrid Cloud 12.18.3. Private Cloud 12.19. Canada Big Data as a Service Market Forecast, by Component 12.19.1. Solutions 12.19.2. Services 12.20. Canada Big Data as a Service Market Forecast, by Organization Size 12.20.1. Small and Medium-sized Enterprises (SMEs) 12.20.2. Large Enterprises 12.21. Canada Big Data as a Service Market Forecast, by End User 12.21.1. BFSI 12.21.2. Information Technology (IT) and Telecom 12.21.3. Healthcare and Life Sciences 12.21.4. eCommerce and Retail 12.21.5. Manufacturing 12.21.6. Media and Entertainment 12.21.7. Others 12.22. North America Big Data as a Service Market Attractiveness Analysis 12.22.1. By Deployment Type 12.22.2. By Component 12.22.3. By Organization Size 12.22.4. By End User 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Development 13. Europe Big Data as a Service Market Analysis 13.1. Key Findings 13.2. Europe Big Data as a Service Market Overview 13.3. Europe Big Data as a Service Market Value Share Analysis, by Deployment Type 13.4. Europe Big Data as a Service Market Forecast, by Deployment Type 13.4.1. Public Cloud 13.4.2. Hybrid Cloud 13.4.3. Private Cloud 13.5. Europe Big Data as a Service Market Value Share Analysis, by Component 13.6. Europe Big Data as a Service Market Forecast, by Component 13.6.1. Solutions 13.6.2. Services 13.7. Europe Big Data as a Service Market Value Share Analysis, by Organization Size 13.8. Europe Big Data as a Service Market Forecast, by Organization Size 13.8.1. Small and Medium-sized Enterprises (SMEs) 13.8.2. Large Enterprises 13.9. Europe Big Data as a Service Market Value Share Analysis, by End User 13.10. Europe Big Data as a Service Market Forecast, by End User 13.10.1. BFSI 13.10.2. Information Technology (IT) and Telecom 13.10.3. Healthcare and Life Sciences 13.10.4. eCommerce and Retail 13.10.5. Manufacturing 13.10.6. Media and Entertainment 13.10.7. Others 13.11. Others Europe Big Data as a Service Market Value Share Analysis, by Country 13.12. Europe Big Data as a Service Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe Big Data as a Service Market Analysis, by Country 13.14. Germany Big Data as a Service Market Forecast, by Deployment Type 13.14.1. Public Cloud 13.14.2. Hybrid Cloud 13.14.3. Private Cloud 13.15. Germany Big Data as a Service Market Forecast, by Component 13.15.1. Solutions 13.15.2. Services 13.16. Germany Big Data as a Service Market Forecast, by Organization Size 13.16.1. Small and Medium-sized Enterprises (SMEs) 13.16.2. Large Enterprises 13.17. Germany Big Data as a Service Market Forecast, by End User 13.17.1. BFSI 13.17.2. Information Technology (IT) and Telecom 13.17.3. Healthcare and Life Sciences 13.17.4. eCommerce and Retail 13.17.5. Manufacturing 13.17.6. Media and Entertainment 13.17.7. Others 13.18. U.K. Big Data as a Service Market Forecast, by Deployment Type 13.18.1. Public Cloud 13.18.2. Hybrid Cloud 13.18.3. Private Cloud 13.19. U.K. Big Data as a Service Market Forecast, by Component 13.19.1. Solutions 13.19.2. Services 13.20. U.K. Big Data as a Service Market Forecast, by Organization Size 13.20.1. Small and Medium-sized Enterprises (SMEs) 13.20.2. Large Enterprises 13.21. U.K. Big Data as a Service Market Forecast, by End User 13.21.1. BFSI 13.21.2. Information Technology (IT) and Telecom 13.21.3. Healthcare and Life Sciences 13.21.4. eCommerce and Retail 13.21.5. Manufacturing 13.21.6. Media and Entertainment 13.21.7. Others 13.22. France Big Data as a Service Market Forecast, by Deployment Type 13.22.1. Public Cloud 13.22.2. Hybrid Cloud 13.22.3. Private Cloud 13.23. France Big Data as a Service Market Forecast, by Component 13.23.1. Solutions 13.23.2. Services 13.24. France Big Data as a Service Market Forecast, by Organization Size 13.24.1. Small and Medium-sized Enterprises (SMEs) 13.24.2. Large Enterprises 13.25. France Big Data as a Service Market Forecast, by End User 13.25.1. BFSI 13.25.2. Information Technology (IT) and Telecom 13.25.3. Healthcare and Life Sciences 13.25.4. eCommerce and Retail 13.25.5. Manufacturing 13.25.6. Media and Entertainment 13.25.7. Others 13.26. Italy Big Data as a Service Market Forecast, by Deployment Type 13.26.1. Public Cloud 13.26.2. Hybrid Cloud 13.26.3. Private Cloud 13.27. Italy Big Data as a Service Market Forecast, by Component 13.27.1. Solutions 13.27.2. Services 13.28. Italy Big Data as a Service Market Forecast, by Organization Size 13.28.1. Small and Medium-sized Enterprises (SMEs) 13.28.2. Large Enterprises 13.29. Italy Big Data as a Service Market Forecast, by End User 13.29.1. BFSI 13.29.2. Information Technology (IT) and Telecom 13.29.3. Healthcare and Life Sciences 13.29.4. eCommerce and Retail 13.29.5. Manufacturing 13.29.6. Media and Entertainment 13.29.7. Others 13.30. Spain Big Data as a Service Market Forecast, by Deployment Type 13.30.1. Public Cloud 13.30.2. Hybrid Cloud 13.30.3. Private Cloud 13.31. Spain Big Data as a Service Market Forecast, by Component 13.31.1. Solutions 13.31.2. Services 13.32. Spain Big Data as a Service Market Forecast, by Organization Size 13.32.1. Small and Medium-sized Enterprises (SMEs) 13.32.2. Large Enterprises 13.33. Spain Big Data as a Service Market Forecast, by End User 13.33.1. BFSI 13.33.2. Information Technology (IT) and Telecom 13.33.3. Healthcare and Life Sciences 13.33.4. eCommerce and Retail 13.33.5. Manufacturing 13.33.6. Media and Entertainment 13.33.7. Others 13.34. Rest of Europe Big Data as a Service Market Forecast, by Deployment Type 13.34.1. Public Cloud 13.34.2. Hybrid Cloud 13.34.3. Private Cloud 13.35. Rest of Europe Big Data as a Service Market Forecast, by Component 13.35.1. Solutions 13.35.2. Services 13.36. Rest of Europe Big Data as a Service Market Forecast, by Organization Size 13.36.1. Small and Medium-sized Enterprises (SMEs) 13.36.2. Large Enterprises 13.37. Rest Of Europe Big Data as a Service Market Forecast, by End User 13.37.1. BFSI 13.37.2. Information Technology (IT) and Telecom 13.37.3. Healthcare and Life Sciences 13.37.4. eCommerce and Retail 13.37.5. Manufacturing 13.37.6. Media and Entertainment 13.37.7. Others 13.38. Europe Big Data as a Service Market Attractiveness Analysis 13.38.1. By Deployment Type 13.38.2. By Component 13.38.3. By Organization Size 13.38.4. By End User 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Development 14. Asia Pacific Big Data as a Service Market Analysis 14.1. Key Findings 14.2. Asia Pacific Big Data as a Service Market Overview 14.3. Asia Pacific Big Data as a Service Market Value Share Analysis, by Deployment Type 14.4. Asia Pacific Big Data as a Service Market Forecast, by Deployment Type 14.4.1. Public Cloud 14.4.2. Hybrid Cloud 14.4.3. Private Cloud 14.5. Asia Pacific Big Data as a Service Market Value Share Analysis, by Component 14.6. Asia Pacific Big Data as a Service Market Forecast, by Component 14.6.1. Solutions 14.6.2. Services 14.7. Asia Pacific Big Data as a Service Market Value Share Analysis, by Organization Size 14.8. Asia Pacific Big Data as a Service Market Forecast, by Organization Size 14.8.1. Small and Medium-sized Enterprises (SMEs) 14.8.2. Large Enterprises 14.9. Asia Pacific Big Data as a Service Market Value Share Analysis, by End User 14.10. Asia Pacific Big Data as a Service Market Forecast, by End User 14.10.1. BFSI 14.10.2. Information Technology (IT) and Telecom 14.10.3. Healthcare and Life Sciences 14.10.4. eCommerce and Retail 14.10.5. Manufacturing 14.10.6. Media and Entertainment 14.10.7. Others 14.11. Asia Pacific Big Data as a Service Market Value Share Analysis, by Country 14.12. Asia Pacific Big Data as a Service Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific Big Data as a Service Market Analysis, by Country 14.14. China Big Data as a Service Market Forecast, by Deployment Type 14.14.1. Public Cloud 14.14.2. Hybrid Cloud 14.14.3. Private Cloud 14.15. China Big Data as a Service Market Forecast, by Component 14.15.1. Solutions 14.15.2. Services 14.16. China Big Data as a Service Market Forecast, by Organization Size 14.16.1. Small and Medium-sized Enterprises (SMEs) 14.16.2. Large Enterprises 14.17. China Big Data as a Service Market Forecast, by End User 14.17.1. BFSI 14.17.2. Information Technology (IT) and Telecom 14.17.3. Healthcare and Life Sciences 14.17.4. eCommerce and Retail 14.17.5. Manufacturing 14.17.6. Media and Entertainment 14.17.7. Others 14.18. India Big Data as a Service Market Forecast, by Deployment Type 14.18.1. Public Cloud 14.18.2. Hybrid Cloud 14.18.3. Private Cloud 14.19. India Big Data as a Service Market Forecast, by Component 14.19.1. Solutions 14.19.2. Services 14.20. India Big Data as a Service Market Forecast, by Organization Size 14.20.1. Small and Medium-sized Enterprises (SMEs) 14.20.2. Large Enterprises 14.21. India Big Data as a Service Market Forecast, by End User 14.21.1. BFSI 14.21.2. Information Technology (IT) and Telecom 14.21.3. Healthcare and Life Sciences 14.21.4. eCommerce and Retail 14.21.5. Manufacturing 14.21.6. Media and Entertainment 14.21.7. Others 14.22. Japan Big Data as a Service Market Forecast, by Deployment Type 14.22.1. Public Cloud 14.22.2. Hybrid Cloud 14.22.3. Private Cloud 14.23. Japan Big Data as a Service Market Forecast, by Component 14.23.1. Solutions 14.23.2. Services 14.24. Japan Big Data as a Service Market Forecast, by Organization Size 14.24.1. Small and Medium-sized Enterprises (SMEs) 14.24.2. Large Enterprises 14.25. Japan Big Data as a Service Market Forecast, by End User 14.25.1. BFSI 14.25.2. Information Technology (IT) and Telecom 14.25.3. Healthcare and Life Sciences 14.25.4. eCommerce and Retail 14.25.5. Manufacturing 14.25.6. Media and Entertainment 14.25.7. Others 14.26. ASEAN Big Data as a Service Market Forecast, by Deployment Type 14.26.1. Public Cloud 14.26.2. Hybrid Cloud 14.26.3. Private Cloud 14.27. ASEAN Big Data as a Service Market Forecast, by Component 14.27.1. Solutions 14.27.2. Services 14.28. ASEAN Big Data as a Service Market Forecast, by Organization Size 14.28.1. Small and Medium-sized Enterprises (SMEs) 14.28.2. Large Enterprises 14.29. ASEAN Big Data as a Service Market Forecast, by End User 14.29.1. BFSI 14.29.2. Information Technology (IT) and Telecom 14.29.3. Healthcare and Life Sciences 14.29.4. eCommerce and Retail 14.29.5. Manufacturing 14.29.6. Media and Entertainment 14.29.7. Others 14.30. Rest of Asia Pacific Big Data as a Service Market Forecast, by Deployment Type 14.30.1. Public Cloud 14.30.2. Hybrid Cloud 14.30.3. Private Cloud 14.31. Rest of Asia Pacific Big Data as a Service Market Forecast, by Component 14.31.1. Solutions 14.31.2. Services 14.32. Rest of Asia Pacific Big Data as a Service Market Forecast, by Organization Size 14.32.1. Small and Medium-sized Enterprises (SMEs) 14.32.2. Large Enterprises 14.33. Rest of Asia Pacific Big Data as a Service Market Forecast, by End User 14.33.1. BFSI 14.33.2. Information Technology (IT) and Telecom 14.33.3. Healthcare and Life Sciences 14.33.4. eCommerce and Retail 14.33.5. Manufacturing 14.33.6. Media and Entertainment 14.33.7. Others 14.34. Asia Pacific Big Data as a Service Market Attractiveness Analysis 14.34.1. By Deployment Type 14.34.2. By Component 14.34.3. By Organization Size 14.34.4. By End User 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Development 15. Middle East & Africa Big Data as a Service Market Analysis 15.1. Key Findings 15.2. Middle East & Africa Big Data as a Service Market Overview 15.3. Middle East & Africa Big Data as a Service Market Value Share Analysis, by Deployment Type 15.4. Middle East & Africa Big Data as a Service Market Forecast, by Deployment Type 15.4.1. Public Cloud 15.4.2. Hybrid Cloud 15.4.3. Private Cloud 15.5. Middle East & Africa Big Data as a Service Market Value Share Analysis, by Component 15.6. Middle East & Africa Big Data as a Service Market Forecast, by Component 15.6.1. Solutions 15.6.2. Services 15.7. Middle East & Africa Big Data as a Service Market Value Share Analysis, by Organization Size 15.8. Middle East & Africa Big Data as a Service Market Forecast, by Organization Size 15.8.1. Small and Medium-sized Enterprises (SMEs) 15.8.2. Large Enterprises 15.9. Middle East & Africa Big Data as a Service Market Value Share Analysis, by End User 15.10. Middle East & Africa Big Data as a Service Market Forecast, by End User 15.10.1. BFSI 15.10.2. Information Technology (IT) and Telecom 15.10.3. Healthcare and Life Sciences 15.10.4. eCommerce and Retail 15.10.5. Manufacturing 15.10.6. Media and Entertainment 15.10.7. Others 15.11. Middle East & Africa Big Data as a Service Market Value Share Analysis, by Country 15.12. Middle East & Africa Big Data as a Service Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa Big Data as a Service Market Analysis, by Country 15.14. GCC Big Data as a Service Market Forecast, by Deployment Type 15.14.1. Public Cloud 15.14.2. Hybrid Cloud 15.14.3. Private Cloud 15.15. GCC Big Data as a Service Market Forecast, by Component 15.15.1. Solutions 15.15.2. Services 15.16. GCC Big Data as a Service Market Forecast, by Organization Size 15.16.1. Small and Medium-sized Enterprises (SMEs) 15.16.2. Large Enterprises 15.17. GCC Big Data as a Service Market Forecast, by End User 15.17.1. BFSI 15.17.2. Information Technology (IT) and Telecom 15.17.3. Healthcare and Life Sciences 15.17.4. eCommerce and Retail 15.17.5. Manufacturing 15.17.6. Media and Entertainment 15.17.7. Others 15.18. South Africa Big Data as a Service Market Forecast, by Deployment Type 15.18.1. Public Cloud 15.18.2. Hybrid Cloud 15.18.3. Private Cloud 15.19. South Africa Big Data as a Service Market Forecast, by Component 15.19.1. Solutions 15.19.2. Services 15.20. South Africa Big Data as a Service Market Forecast, by Organization Size 15.20.1. Small and Medium-sized Enterprises (SMEs) 15.20.2. Large Enterprises 15.21. South Africa Big Data as a Service Market Forecast, by End User 15.21.1. BFSI 15.21.2. Information Technology (IT) and Telecom 15.21.3. Healthcare and Life Sciences 15.21.4. eCommerce and Retail 15.21.5. Manufacturing 15.21.6. Media and Entertainment 15.21.7. Others 15.22. Rest of Middle East & Africa Big Data as a Service Market Forecast, by Deployment Type 15.22.1. Public Cloud 15.22.2. Hybrid Cloud 15.22.3. Private Cloud 15.23. Rest of Middle East & Africa Big Data as a Service Market Forecast, by Component 15.23.1. Solutions 15.23.2. Services 15.24. Rest of Middle East & Africa Big Data as a Service Market Forecast, by Organization Size 15.24.1. Small and Medium-sized Enterprises (SMEs) 15.24.2. Large Enterprises 15.25. Rest of Middle East & Africa Big Data as a Service Market Forecast, by End User 15.25.1. BFSI 15.25.2. Information Technology (IT) and Telecom 15.25.3. Healthcare and Life Sciences 15.25.4. eCommerce and Retail 15.25.5. Manufacturing 15.25.6. Media and Entertainment 15.25.7. Others 15.26. Middle East & Africa Big Data as a Service Market Attractiveness Analysis 15.26.1. By Deployment Type 15.26.2. By Component 15.26.3. By Organization Size 15.26.4. By End User 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Development 16. South America Big Data as a Service Market Analysis 16.1. Key Findings 16.2. South America Big Data as a Service Market Overview 16.3. South America Big Data as a Service Market Value Share Analysis, by Deployment Type 16.4. South America Big Data as a Service Market Forecast, by Deployment Type 16.4.1. Public Cloud 16.4.2. Hybrid Cloud 16.4.3. Private Cloud 16.5. South America Big Data as a Service Market Value Share Analysis, by Component 16.6. South America Big Data as a Service Market Forecast, by Component 16.6.1. Solutions 16.6.2. Services 16.7. South America Big Data as a Service Market Value Share Analysis, by Organization Size 16.8. South America Big Data as a Service Market Forecast, by Organization Size 16.8.1. Small and Medium-sized Enterprises (SMEs) 16.8.2. Large Enterprises 16.9. South America Big Data as a Service Market Value Share Analysis, by End User 16.10. South America Big Data as a Service Market Forecast, by End User 16.10.1. BFSI 16.10.2. Information Technology (IT) and Telecom 16.10.3. Healthcare and Life Sciences 16.10.4. eCommerce and Retail 16.10.5. Manufacturing 16.10.6. Media and Entertainment 16.10.7. Others 16.11. South America Big Data as a Service Market Value Share Analysis, by Country 16.12. South America Big Data as a Service Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America Big Data as a Service Market Analysis, by Country 16.14. Brazil Big Data as a Service Market Forecast, by Deployment Type 16.14.1. Public Cloud 16.14.2. Hybrid Cloud 16.14.3. Private Cloud 16.15. Brazil Big Data as a Service Market Forecast, by Component 16.15.1. Solutions 16.15.2. Services 16.16. Brazil Big Data as a Service Market Forecast, by Organization Size 16.16.1. Small and Medium-sized Enterprises (SMEs) 16.16.2. Large Enterprises 16.17. Brazil Big Data as a Service Market Forecast, by End User 16.17.1. BFSI 16.17.2. Information Technology (IT) and Telecom 16.17.3. Healthcare and Life Sciences 16.17.4. eCommerce and Retail 16.17.5. Manufacturing 16.17.6. Media and Entertainment 16.17.7. Others 16.18. Mexico Big Data as a Service Market Forecast, by Deployment Type 16.18.1. Public Cloud 16.18.2. Hybrid Cloud 16.18.3. Private Cloud 16.19. Mexico Big Data as a Service Market Forecast, by Component 16.19.1. Solutions 16.19.2. Services 16.20. Mexico Big Data as a Service Market Forecast, by Organization Size 16.20.1. Small and Medium-sized Enterprises (SMEs) 16.20.2. Large Enterprises 16.21. Mexico Big Data as a Service Market Forecast, by End User 16.21.1. BFSI 16.21.2. Information Technology (IT) and Telecom 16.21.3. Healthcare and Life Sciences 16.21.4. eCommerce and Retail 16.21.5. Manufacturing 16.21.6. Media and Entertainment 16.21.7. Others 16.22. Rest of South America Big Data as a Service Market Forecast, by Deployment Type 16.22.1. Public Cloud 16.22.2. Hybrid Cloud 16.22.3. Private Cloud 16.23. Rest of South America Big Data as a Service Market Forecast, by Component 16.23.1. Solutions 16.23.2. Services 16.24. Rest of South America Big Data as a Service Market Forecast, by Organization Size 16.24.1. Small and Medium-sized Enterprises (SMEs) 16.24.2. Large Enterprises 16.25. Rest of South America Big Data as a Service Market Forecast, by End User 16.25.1. BFSI 16.25.2. Information Technology (IT) and Telecom 16.25.3. Healthcare and Life Sciences 16.25.4. eCommerce and Retail 16.25.5. Manufacturing 16.25.6. Media and Entertainment 16.25.7. Others 16.26. South America Big Data as a Service Market Attractiveness Analysis 16.26.1. By Deployment Type 16.26.2. By Component 16.26.3. By Organization Size 16.26.4. By End User 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Development 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Investment and Applications 17.2.3.2. M&A Key Players, Forward Integration and Backward Integration 17.3. Company Profiles: Key Players 17.3.1. IBM (US) 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Company Footprint 17.3.2. Oracle (US) 17.3.3. Microsoft (US) 17.3.4. Google (US) 17.3.5. AWS (US) 17.3.6. SAP (Germany) 17.3.7. Teradata (US) 17.3.8. SAS (US) 17.3.9. Dell Technologies (US) 17.3.10. HPE (US) 17.3.11. CenturyLink (US) 17.3.12. Splunk (US) 17.3.13. Cloudera (US) 17.3.14. Salesforce (US) 17.3.15. Qubole (US) 17.3.16. GoodData (US) 17.3.17. Hitachi Vantara (US) 17.3.18. IRI (US) 17.3.19. 1010data (US) 17.3.20. Guavus (US). 17.3.21. Hewlett Packard Enterprise 17.3.22. Accenture. 17.3.23. SunGard Data Systems Inc. 17.3.24. UST GLOBAL INC 17.3.25. MapR Technologies, Inc.