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| A00734 | Pages: 303 | Feb 2020 | 10709 Views | | |
| Author(s) : Rachita Rake , Vineet Kumar | Tables: 141 | Charts: 85 |
| |
Pandemic disrupted the entire world and affected many industries.
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Request Now !The global big data as a service market was valued at $4.99 billion in 2018, and is projected to reach $61.42 billion by 2026, registering a CAGR of 36.9% from 2019 to 2026. Big Data as a Service (BDaaS) is a cloud-based framework that offers end-to-end big data solutions to enterprises on their demand. BDaaS can be defined as a combined structure of Hadoop-as-a-Service (HDaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service (DAaaS). Increase in need for ensuring high data quality along with creating a channelized data flow in organizations has driven the need for technologically advanced big data solutions to store, assess, gather, visualize, and make predictions from the information gained from large data volumes. Due to the rising usage of cloud-based data analytics solutions, the global market for Big Data as a Service (BDaaS) is expected to witness strong growth in the upcoming years.
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By solution type, the data analytics-as-a-service segment garnered major big data as a service market share in 2018 and is expected to remain dominant during the forecast period. Data analytics-as-a-service (DAaaS) is considered as a low-cost alternative for small and medium enterprises. Increased adoption of cloud-based services in small and medium enterprises is expected to fuel the growth of the big data as a service market. However, Hadoop as a service (HaaS) segment is expected to witness highest CAGR in the upcoming years owing to several factors such as rise in demand for HaaS among SMEs, increase in cloud-based big data services along with flexibility and agility provided by these services, which further fuels the growth of the market.
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By deployment model, the public cloud segment dominated the big data as a service market share in 2018 and is expected to remain dominant during the forecast period. As the initial investment required for the deployment is very less, and there are no responsibilities involved in managing the infrastructure, which further fuels the growth of the market. However, the hybrid cloud segment is expected to witness highest growth rate in the upcoming years.
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North America dominated the global market in 2018 and is expected to remain dominant during the forecast period as it is the most advanced region in terms of technology adoption. Moreover, the region holds the dominant position in the big data as a service market due to presence of developed economies such as the U.S. and Canada, as they greatly focus on innovations obtained from R&D and technology. However, Asia-Pacific region is expected to grow at the highest CAGR during the forecast period, as number of startups and well established companies in Asia-Pacific region are opting for Big Data as a Service to bring diversification in their business solutions, which fuels the growth of the market.
The report focuses on the growth prospects, restraints, and trends of the big data as a service market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the global market.
Segment Review
The global Big Data as a Service (BDaaS) market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is bifurcated into Hadoop-as-a-Service (HaaS), Data-as-a-Service (DaaS), and Data Analytics-as-a-Service (DAaaS). Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is classified into small and medium-sized enterprise, and large enterprise. Depending on industry vertical, the market is segmented into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The big data as a service market is dominated by the global Big data as a service players such as Amazon Web Services, Inc., Hewlett Packard Enterprise (HP), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Google, Inc., and Accenture.
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Top impacting factors
Current and future big data as a service big data as a service market trends are outlined to determine the overall attractiveness of the market. Top impacting factors highlight the big data as a service market opportunities during the forecast period. Factors such as massive growth of big data across the globe, rise in demand for real-time data analytics, government initiatives supporting big data infrastructure, and upsurge in the adoption of predictive modeling tools are expected to boost the market growth. However, security and privacy threats, and lack of big data IT skills are expected to impede the market growth during the forecast period. Furthermore, huge investment in IT sectors by the businesses is expected to provide major growth opportunities for the big data as a service market in upcoming years.
Massive growth of big data across the globe
The volume of data captured by organizations is continuously increasing due to rise of social media, Internet of Things (IoT), and multimedia, which have produced an overwhelming flow of data in either structured or unstructured format. For instance, almost 90% of the world’s data has been created in the past two years alone. Machine-based as well as human-generated data are witnessing an overall growth rate of 10 times faster than conventional business data. For instance, machine data is experiencing an exponential 50 times faster growth rate. In addition to this, there are expected to be more than 50 billion smart connected devices in the world by 2020, which will collect, analyze and share this data.
Huge investment in IT sectors by the businesses
Growing adoption of advanced and emerging technologies such as artificial intelligence (AI), robotics, Internet of Things (IoT), and machine learning, are gradually catalyzing transformation across industries such as manufacturing, transportation, healthcare, retail and others. In addition to this, number of businesses are investing heavily in the IT sector as well as on these emerging technologies, which is expected to provide lucrative opportunities for the big data as a service market. The adoption of these technologies is expected to generate massive amount of data, which can help gain business insights from this data.
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The growth of the big data as a service market is expected to continue during the Covid-19 pandemic outbreak. The operations in the IT industry are carried out normally by ‘working from home’ structure. Therefore the adoption of big data as a service in its application sectors such as BFSI, e-commerce, it & telecom, healthcare, and government are carried out normally.
On the other hand, the demand for big data as a service from sectors such as manufacturing and retail has been decreased due to the operational halt by government of all nations during the novel coronavirus outbreak.
Key Market Players Profiled in the Report
CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.2.2. Top impacting factors
3.3. Porter's five forces analysis
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Massive growth of big data across the globe
3.4.1.2. Growing demand of real-time data analytics
3.4.1.3. Government initiatives supporting big data infrastructure
3.4.1.4. Upsurge in the adoption of predictive modeling tools
3.4.2. Restraint
3.4.2.1. Security and privacy threats
3.4.2.2. Lack of big data IT skills
3.4.3. Opportunity
3.4.3.1. Huge investment in IT sectors by the businesses
CHAPTER 4: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY SOLUTION TYPE
4.1. Market overview
4.2. Hadoop-as-a-service (HaaS)
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis, by country
4.3. Data-as-a-Service (DAaaS)
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis, by country
4.4. Data Analytics-as-a-Service (DAaaS)
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis, by country
CHAPTER 5: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY DEPLOYMENT MODEL
5.1. Market overview
5.2. Public Cloud
5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis, by country
5.3. Private Cloud
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis, by country
5.4. Hybrid Cloud
5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis, by country
CHAPTER 6: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY ORGANIZATION SIZE
6.1. Market overview
6.2. Small and Medium-Sized Businesses
6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis, by country
6.3. Large Enterprise
6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis, by country
CHAPTER 7: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY INDUSTRY VERTICAL
7.1. Market overview
7.2. BFSI
7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis, by country
7.3. Retail and E-commerce
7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis, by country
7.4. IT & Telecom
7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market analysis, by country
7.5. Healthcare
7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market analysis, by country
7.6. Government
7.6.1. Key market trends, growth factors, and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market analysis, by country
7.7. Manufacturing
7.7.1. Key market trends, growth factors, and opportunities
7.7.2. Market size and forecast, by region
7.7.3. Market analysis, by country
7.8. Others
7.8.1. Key market trends, growth factors, and opportunities
7.8.2. Market size and forecast, by region
7.8.3. Market analysis, by country
CHAPTER 8: GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY REGION
8.1. Market overview
8.2. North America
8.2.1. Key market trends, growth factors, and opportunities
8.2.2. Market size and forecast, by solution type
8.2.3. Market size and forecast, by deployment model
8.2.4. Market size and forecast, by organization size
8.2.5. Market size and forecast, by industry vertical
8.2.6. Market size and forecast, by country
8.2.6.1. U.S.
8.2.6.1.1. U.S. market size and forecast, by solution type
8.2.6.1.2. U.S. market size and forecast, by deployment model
8.2.6.1.3. U.S. market size and forecast, by organization size
8.2.6.1.4. U.S. market size and forecast, by industry vertical
8.2.6.2. Canada
8.2.6.2.1. Canada market size and forecast, by solution type
8.2.6.2.2. Canada market size and forecast, by deployment model
8.2.6.2.3. Canada market size and forecast, by organization size
8.2.6.2.4. Canada market size and forecast, by industry vertical
8.3. Europe
8.3.1. Key market trends, growth factors, and opportunities
8.3.2. Market size and forecast, by solution type
8.3.3. Market size and forecast, by deployment model
8.3.4. Market size and forecast, by organization size
8.3.5. Market size and forecast, by industry vertical
8.3.6. Market size and forecast, by country
8.3.6.1. UK
8.3.6.1.1. UK market size and forecast, by solution type
8.3.6.1.2. UK market size and forecast, by deployment model
8.3.6.1.3. UK market size and forecast, by organization size
8.3.6.1.4. UK market size and forecast, by industry vertical
8.3.6.2. Germany
8.3.6.2.1. Germany market size and forecast, by solution type
8.3.6.2.2. Germany market size and forecast, by deployment model
8.3.6.2.3. Germany market size and forecast, by organization size
8.3.6.2.4. Germany market size and forecast, by industry vertical
8.3.6.3. France
8.3.6.3.1. France market size and forecast, by solution type
8.3.6.3.2. France market size and forecast, by deployment model
8.3.6.3.3. France market size and forecast, by organization size
8.3.6.3.4. France market size and forecast, by industry vertical
8.3.6.4. Spain
8.3.6.4.1. Spain market size and forecast, by solution type
8.3.6.4.2. Spain market size and forecast, by deployment model
8.3.6.4.3. Spain market size and forecast, by organization size
8.3.6.4.4. Spain market size and forecast, by industry vertical
8.3.6.5. Rest of Europe
8.3.6.5.1. Rest of Europe market size and forecast, by solution type
8.3.6.5.2. Rest of Europe market size and forecast, by deployment model
8.3.6.5.3. Rest of Europe market size and forecast, by organization size
8.3.6.5.4. Rest of Europe market size and forecast, by industry vertical
8.4. Asia-Pacific
8.4.1. Key market trends, growth factors, and opportunities
8.4.2. Market size and forecast, by solution type
8.4.3. Market size and forecast, by deployment model
8.4.4. Market size and forecast, by organization size
8.4.5. Market size and forecast, by industry vertical
8.4.6. Market size and forecast, by country
8.4.6.1. China
8.4.6.1.1. China market size and forecast, by solution type
8.4.6.1.2. China market size and forecast, by deployment model
8.4.6.1.3. China market size and forecast, by organization size
8.4.6.1.4. China market size and forecast, by industry vertical
8.4.6.2. India
8.4.6.2.1. India market size and forecast, by solution type
8.4.6.2.2. India market size and forecast, by deployment model
8.4.6.2.3. India market size and forecast, by organization size
8.4.6.2.4. India market size and forecast, by industry vertical
8.4.6.3. Japan
8.4.6.3.1. Japan market size and forecast, by solution type
8.4.6.3.2. Japan market size and forecast, by deployment model
8.4.6.3.3. Japan market size and forecast, by organization size
8.4.6.3.4. Japan market size and forecast, by industry vertical
8.4.6.4. Australia
8.4.6.4.1. Australia market size and forecast, by solution type
8.4.6.4.2. Australia market size and forecast, by deployment model
8.4.6.4.3. Australia market size and forecast, by organization size
8.4.6.4.4. Australia market size and forecast, by industry vertical
8.4.6.5. Rest of Asia-Pacific
8.4.6.5.1. Rest of Asia-Pacific market size and forecast, by solution type
8.4.6.5.2. Rest of Asia-Pacific market size and forecast, by deployment model
8.4.6.5.3. Rest of Asia-Pacific market size and forecast, by organization size
8.4.6.5.4. Rest of Asia-Pacific market size and forecast, by industry vertical
8.5. LAMEA
8.5.1. Key market trends, growth factors, and opportunities
8.5.2. Market size and forecast, by solution type
8.5.3. Market size and forecast, by deployment model
8.5.4. Market size and forecast, by organization size
8.5.5. Market size and forecast, by industry vertical
8.5.6. Market size and forecast, by country
8.5.6.1. Latin America
8.5.6.1.1. Latin America market size and forecast, by solution type
8.5.6.1.2. Latin America market size and forecast, by deployment model
8.5.6.1.3. Latin America market size and forecast, by organization size
8.5.6.1.4. Latin America market size and forecast, by industry vertical
8.5.6.2. Middle East
8.5.6.2.1. Middle East market size and forecast, by solution type
8.5.6.2.2. Middle East market size and forecast, by deployment model
8.5.6.2.3. Middle East market size and forecast, by organization size
8.5.6.2.4. Middle East market size and forecast, by industry vertical
8.5.6.3. Africa
8.5.6.3.1. Africa market size and forecast, by solution type
8.5.6.3.2. Africa market size and forecast, by deployment model
8.5.6.3.3. Africa market size and forecast, by organization size
8.5.6.3.4. Africa market size and forecast, by industry vertical
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Competitive dashboard
9.2. Key player positioning, 2018
9.3. Top winning strategies
9.4. Key developments
9.4.1. New product launches
9.4.2. Partnership
9.4.3. Acquisition
9.4.4. Product development
9.4.5. Collaboration
CHAPTER 10: COMPANY PROFILE
10.1. ACCENTURE
10.1.1. Company overview
10.1.2. Key executives
10.1.3. Company snapshot
10.1.4. Operating business segments
10.1.5. Product portfolio
10.1.6. R&D Expenditure
10.1.7. Business performance
10.1.8. Key strategic moves and developments
10.2. AMAZON WEB SERVICES, INC.
10.2.1. Company overview
10.2.2. Key executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. Business performance
10.2.7. Key strategic moves and developments
10.3. GOOGLE LLC
10.3.1. Company overview
10.3.2. Key Executives
10.3.3. Company snapshot
10.3.4. Product portfolio
10.3.5. R&D Expenditure
10.3.6. Business performance
10.3.7. Key strategic moves and developments
10.4. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
10.4.1. Company overview
10.4.2. Key executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.4.6. R&D expenditure
10.4.7. Business performance
10.4.8. Key strategic moves and developments
10.5. INTERNATIONAL BUSINESS MACHINES CORPORATION
10.5.1. Company overview
10.5.2. Key Executives
10.5.3. Company snapshot
10.5.4. Operating business segments
10.5.5. Product portfolio
10.5.6. R&D Expenditure
10.5.7. Business performance
10.5.8. Key strategic moves and developments
10.6. MICROSOFT CORPORATION
10.6.1. Company overview
10.6.2. Key executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.6.6. R&D expenditure
10.6.7. Business performance
10.6.8. Key strategic moves and developments
10.7. ORACLE CORPORATION
10.7.1. Company overview
10.7.2. Key Executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. R&D Expenditure
10.7.7. Business performance
10.7.8. Key strategic moves and developments
10.8. SAP SE
10.8.1. Company overview
10.8.2. Key Executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.8.6. R&D Expenditure
10.8.7. Business performance
10.8.8. Key strategic moves and developments
10.9. SAS INSTITUTE INC.
10.9.1. Company overview
10.9.2. Key Executives
10.9.3. Company snapshot
10.9.4. Product portfolio
10.9.5. Business performance
10.10. Teradata
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Product portfolio
10.10.4. Business performance
10.10.5. Key strategic moves and developments
LIST OF TABLES
TABLE 01. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 02. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HADOOP-AS-A-SERVICE, BY REGION, 2018–2026 ($MILLION)
TABLE 03. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR DATA-AS-A-SERVICE, BY REGION, 2018–2026 ($MILLION)
TABLE 04. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR DATA ANALYTICS-AS-A-SERVICE, BY REGION, 2018–2026 ($MILLION)
TABLE 05. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 06. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR PUBLIC CLOUD, BY REGION, 2018–2026 ($MILLION)
TABLE 07. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR PRIVATE CLOUD, BY REGION, 2018–2026 ($MILLION)
TABLE 08. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HYBRID CLOUD, BY REGION, 2018–2026 ($MILLION)
TABLE 09. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 10. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2018–2026 ($MILLION)
TABLE 11. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR LARGE ENTERPRISE, BY REGION, 2018–2026 ($MILLION)
TABLE 12. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET , BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 13. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR BFSI, BY REGION, 2018–2026 ($MILLION)
TABLE 14. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR RETAIL AND E-COMMERCE, BY REGION, 2018–2026 ($MILLION)
TABLE 15. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR IT & TELECOM, BY REGION, 2018–2026 ($MILLION)
TABLE 16. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HEALTHACARE, BY REGION, 2018–2026 ($MILLION)
TABLE 17. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HEALTHCARE, BY REGION, 2018–2026 ($MILLION)
TABLE 18. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR MANUFACTURING, BY REGION, 2018–2026 ($MILLION)
TABLE 19. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR OTHERS, BY REGION, 2018–2026 ($MILLION)
TABLE 20. NORTH AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 21. NORTH AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 22. NORTH AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE E, 2018–2026 ($MILLION)
TABLE 23. NORTH AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 24. NORTH AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 25. U.S. BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 26. U.S. BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 27. U.S. BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 28. U.S. BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 29. CANADA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 30. CANADA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 31. CANADA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 32. CANADA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 33. EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 34. EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 35. EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE E, 2018–2026 ($MILLION)
TABLE 36. EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 37. EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 38. UK BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 39. UK BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 40. UK BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 41. UK BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 42. GERMANY BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 43. GERMANY BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 44. GERMANY BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 45. GERMANY BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 46. FRANCE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 47. FRANCE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 48. FRANCE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 49. FRANCE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 50. SPAIN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 51. SPAIN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 52. SPAIN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 53. SPAIN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 54. REST OF EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 55. REST OF EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 56. REST OF EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 57. REST OF EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 58. ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 59. ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 60. ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE E, 2018–2026 ($MILLION)
TABLE 61. ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 62. ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 63. CHINA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 64. CHINA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 65. CHINA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 66. CHINA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 67. INDIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 68. INDIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 69. INDIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 70. INDIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 71. JAPAN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 72. JAPAN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 73. JAPAN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 74. JAPAN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 75. AUSTRALIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 76. AUSTRALIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 77. AUSTRALIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 78. AUSTRALIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 79. REST OF ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 80. REST OF ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 81. REST OF ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 82. REST OF ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 83. LAMEA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 84. LAMEA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 85. LAMEA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE E, 2018–2026 ($MILLION)
TABLE 86. LAMEA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 87. LAMEA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 88. LATIN AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 89. LATIN AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 90. LATIN AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 91. LATIN AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 92. MIDDLE EAST BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 93. MIDDLE EAST BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 94. MIDDLE EAST BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 95. MIDDLE EAST BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 96. AFRICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
TABLE 97. AFRICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
TABLE 98. AFRICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 99. AFRICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 100. KEY NEW PRODUCT LAUNCHES (2016-2019)
TABLE 101. PARTNERSHIP (2016-2019)
TABLE 102. ACQUISTION (2016-2019)
TABLE 103. PRODUCT DEVELOPMENT (2016-2019)
TABLE 104. COLLABORATION (2016-2019)
TABLE 105. ACCENTURE PLC: KEY EXECUTIVES
TABLE 106. ACCENTURE PLC : COMPANY SNAPSHOT
TABLE 107. ACCENTURE PLC.: OPERATING SEGMENTS
TABLE 108. AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 109. AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 110. AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 111. AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 112. AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 113. GOOGLE LLC: KEY EXECUTIVES
TABLE 114. GOOGLE INC.: COMPANY SNAPSHOT
TABLE 115. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 116. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: KEY EXECUTIVES
TABLE 117. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT
TABLE 118. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: OPERATING SEGMENTS
TABLE 119. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: PRODUCT PORTFOLIO
TABLE 120. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 121. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 122. INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 123. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 124. MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 125. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 126. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 127. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 128. ORACLE CORPORATION: KEY EXECUTIVES
TABLE 129. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 130. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 131. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 132. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 133. SAP SE: KEY EXECUTIVES
TABLE 134. SAP SE: COMPANY SNAPSHOT
TABLE 135. SAP SE: OPERATING SEGMENTS
TABLE 136. SAP SE: PRODUCT PORTFOLIO
TABLE 137. SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 138. SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 139. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 140. TERADATA: COMPANY SNAPSHOT
TABLE 141. TERADATA: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET, 2018–2026
FIGURE 02. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET, 2018–2026
FIGURE 03. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET : KEY PLAYERS
FIGURE 04. TOP INVESTMENT POCKETS
FIGURE 05. TOP IMPACTING FACTORS
FIGURE 06. HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07. MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 08. MODERATE THREAT OF SUBSTITUTES
FIGURE 09. MODERATE THREAT OF NEW ENTRANTS
FIGURE 10. HIGH COMPETITIVE RIVALRY
FIGURE 11. BIG DATA AS A SERVICE (BDAAS) MARKET : DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 12. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY SOLUTION TYPE, 2018–2026 ($MILLION)
FIGURE 13. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HADOOP-AS-A-SERVICE, BY COUNTRY, 2018 & 2026(%)
FIGURE 14. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR DATA-AS-A-SERVICE, BY COUNTRY, 2018 & 2026(%)
FIGURE 15. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR DATA ANALYTICS-AS-A-SERVICE, BY COUNTRY, 2018 & 2026(%)
FIGURE 16. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY DEPLOYMENT MODEL, 2018–2026 ($MILLION)
FIGURE 17. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR PUBLIC CLOUD, BY COUNTRY, 2018 & 2026(%)
FIGURE 18. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR PRIVATE CLOUD, BY COUNTRY, 2018 & 2026(%)
FIGURE 19. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HYBRID CLOUD, BY COUNTRY, 2018 & 2026(%)
FIGURE 20. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
FIGURE 21. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY COUNTRY, 2018 & 2026(%)
FIGURE 22. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR LARGE ENTERPRISE, BY COUNTRY, 2018 & 2026(%)
FIGURE 23. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
FIGURE 24. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR BFSI, BY COUNTRY, 2018 & 2026(%)
FIGURE 25. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR RETAIL AND E-COMMERCE, BY COUNTRY, 2018 & 2026(%)
FIGURE 26. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR GOVERNMENT & PUBLIC SECTOR, BY COUNTRY, 2018 & 2026(%)
FIGURE 27. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR HEALTHACARE, BY COUNTRY, 2018 & 2026(%)
FIGURE 28. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR GOVERNMENT, BY COUNTRY, 2018 & 2026(%)
FIGURE 29. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR MANUFACTURING, BY COUNTRY, 2018 & 2026(%)
FIGURE 30. GLOBAL BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE FOR OTHERS, BY COUNTRY, 2018 & 2026(%)
FIGURE 31. U.S. BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 32. CANADA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 33. UK BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 34. GERMANY BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 35. FRANCE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 36. SPAIN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 37. REST OF EUROPE BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 38. CHINA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 39. INDIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 40. JAPAN BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 41. AUSTRALIA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 42. REST OF ASIA-PACIFIC BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 43. LATIN AMERICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 44. MIDDLE EAST BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 45. AFRICA BIG DATA AS A SERVICE (BDAAS) MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 46. COMPETITIVE DASHBOARD
FIGURE 47. COMPETITIVE DASHBOARD
FIGURE 48. COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 49. KEY PLAYERS POSITIONING, 2018
FIGURE 50. TOP WINNING STRATEGIES, BY YEAR, 2017-2019
FIGURE 51. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2017-2019
FIGURE 52. TOP WINNING STRATEGIES, BY COMPANY, 2017-2019
FIGURE 53. R&D EXPENDITURE, 2016-2018 ($MILLION)
FIGURE 54. ACCENTURE PLC. : REVENUE, 2016–2018 ($MILLION)
FIGURE 55. ACCENTURE PLC. : REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 56. ACCENTURE PLC. : REVENUE SHARE BY REGION, 2018 (%)
FIGURE 57. AMAZON.COM, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 58. AMAZON.COM, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 59. AMAZON.COM, INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 60. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 61. ALPHABET INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 62. ALPHABET INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 63. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 64. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: REVENUE, 2016–2018 ($MILLION)
FIGURE 65. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 66. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 67. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 68. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 69. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 70. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 71. MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 72. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 73. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 74. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 75. ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 76. ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 77. ORACLE CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 78. R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 79. SAP SE: REVENUE, 2016–2018 ($MILLION)
FIGURE 80. SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 81. SAP SE: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 82. SAS INSTITUTE INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 83. TERADATA: REVENUE, 2016–2018 ($MILLION)
FIGURE 84. TERADATA: REVENUE SHARE BY OPERATIONS, 2018 (%)
FIGURE 85. TERADATA: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
According to the insights of the CXOs of leading companies, the evolution of technological tools has enabled solutions to be delivered as a service. Due to this, Data as a Service (DaaS), Software as a Service (SaaS), and Platform as a Service (PaaS), have emerged as potential growth opportunities for big data vendors. Number of benefits offered by these technologies, cloud computing is witnessing a rapid increase in its adoption. For instance, the cloud computing market is anticipated to reach at $160 billion by 2020, attaining a growth rate of 19%. Moreover, several government initiatives are supporting open data technology which is expected to provide lucrative opportunities for the market. For instance, La Libertad in Peru, Buenos Aires in Argentina, and Sao Paolo in Brazil have committed to government transparency and have welcomed new forms of social participation. Furthermore, number of groups such as the Inter-American Development Bank are working across Latin America to scale open data initiatives, which will reduce corruption, increase the resilience of cities, and improve health service delivery.
Furthermore, the global big data as a service (BDaaS) market is highly fragmented and is characterized by the presence of well diversified vendors. The vendors of this market are trying to increase their market presence by adopting aggressive marketing strategies such as business expansion, mergers & acquisitions. The major players of this market are investing in new startups and technologies, which support their overall product offerings. Also, international players are continuously launching advanced products as well as services in developing economies to take advantage of the economic growth in these regions.
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