BDaaS Market by Component (Solutions and Services), Organization Size, Deployment Type, Industry Vertical (BFSI, IT and Telecom, Healthcare and Life Sciences, eCommerce and Retail, and Manufacturing), and Region - Global Forecast to 2024
January 30, 2020
MarketsandMarkets
138
pdf
BDaaS Market by Component (Solutions and Services), Organization Size, Deployment Type, Industry Vertical (BFSI, IT and Telecom, Healthcare and Life Sciences, eCommerce and Retail, and Manufacturing), and Region - Global Forecast to 2024
Abstract Growing demand in industries to gain actionable insights from big data and enormous growth of data due to digitization and automation across industries, to drive the adoption of BDaaS solutions
MarketsandMarkets estimates the global Big Data as a Service (BDaaS) market size to grow from USD 11.3 billion in 2019 to USD 42.7 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.5% during the forecast period. The BDaaS industry is growing rapidly owing to factors, such as growing demand in industries to gain actionable insights from big data and enormous growth of data due to digitization and automation across industries. However, complexities in extracting valuable insights out of humongous data sources are expected to limit the growth of the market.
Hybrid cloud deployment type to grow at the highest CAGR during the forecast period
As organizations are facing a tremendous growth of unstructured data, the requirement for data analysis is gaining traction among industry verticals. This data repository is a mix of active and frequently used data or inactive and less frequently used data. The hybrid cloud deployment type combines the benefits of both public and private cloud, which helps organizations analyze inactive data over the public cloud and active and sensitive business data through a more secure private cloud.
Banking, Financial Services and Insurance industry vertical to hold the highest market share in 2019
The Banking, Financial Services and Insurance (BFSI) industry vertical leverages the power of big data analytics to face challenges, such as strict banking regulations and reduced interest rates. There is a huge amount of data which is collected by the industry and can be used to generate revenue. Hence, the BFSI industry vertical is one of the largest adopters of BDaaS technologies, especially Hadoop. With the help of advanced technologies used in BDaaS solutions, the BFSI industry can enhance its customer experience, enterprise information management; enterprise performance management; and Governance, Risk and Compliance (GRC) services. The industry is gaining significant benefits by deploying cloud-based big data analytics solutions due to the improvement of the business processes by centralized processing of financial data. The banking industry has a huge volumes of customer data. Hence, the industry is deploying BDaaS solutions to extract valuable insights from these assets to enhance the overall customer experience.
Asia Pacific to grow at the highest CAGR during the forecast period
Asia Pacific (APAC) is expected to experience significant growth opportunities during the forecast period. With the increasing adoption of cloud technologies, digitalization, and automation of business processes, the adoption of BDaaS solutions in APAC is significantly increasing. A rapid change in enterprise requirements due to this digitalization and automation of business processes is one of the factors driving the growth of the BDaaS market in this region. APAC further demonstrates a combination of high growth rate, developing economies, and the mass adoption of mobile and the internet, thereby boosting the adoption of BDaaS solutions. The region has a large customer base and a significant presence of Small and Medium-sized Enterprises (SMEs). The increasing adoption of cloud-based big data analytics solutions among SMEs is expected to be the major factor driving the growth of the BDaaS market in the region.
In-depth interviews were conducted with the Chief Executive Officers (CEOs), Chief Marketing Officers (CMO), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the BDaaS market.
? By Company – Tier 1–49%, Tier 2–35%, and Tier 3–16%
? By Designation – C-Level Executives–40%, Director Level–36%, and Others–24%
? By Region – North America–40%, Europe–27%, APAC–18%, Latin America – 10%, and MEA – 5%
The BDaaS market comprises major solution providers, such as 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), and Guavus (US). The study includes in-depth competitive analysis of key players in the BDaaS market with their company profiles, recent developments, and key market strategies.
Research Coverage
The BDaaS market revenue is primarily classified into revenues from solutions and services. The market is also segmented on the basis of deployment type, organization size, industry vertical, and region.
Key benefits of the report
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall BDaaS market and its subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report would also help stakeholders understand the pulse of the market and provide them with information on the key market drivers, restraints, challenges, and opportunities.
Content TABLE OF CONTENTS
1 INTRODUCTION 16 1.1 OBJECTIVES OF THE STUDY 16 1.2 MARKET DEFINITION 16 1.2.1 INCLUSIONS AND EXCLUSIONS 16 1.3 MARKET SCOPE 17 1.3.1 MARKET SEGMENTATION 17 1.3.2 YEARS CONSIDERED FOR THE STUDY 17 1.4 CURRENCY CONSIDERED 18 1.5 STAKEHOLDERS 18 2 RESEARCH METHODOLOGY 19 2.1 RESEARCH DATA 19 2.1.1 SECONDARY DATA 20 2.1.2 PRIMARY DATA 20 2.1.2.1 Breakup of primaries 20 2.1.2.2 Key industry insights 21 2.2 MARKET BREAKUP AND DATA TRIANGULATION 21 2.3 MARKET SIZE ESTIMATION 22 2.3.1 TOP-DOWN APPROACH 22 2.3.2 BOTTOM-UP APPROACH 23 2.4 MARKET FORECAST 23 2.5 ASSUMPTIONS FOR THE STUDY 24 2.6 LIMITATIONS OF THE STUDY 24 3 EXECUTIVE SUMMARY 25 4 PREMIUM INSIGHTS 29 4.1 ATTRACTIVE OPPORTUNITIES IN THE BIG DATA AS A SERVICE MARKET 29 4.2 NORTH AMERICA: BIG DATA AS A SERVICE MARKET, BY INDUSTRY VERTICAL AND COUNTRY 30 4.3 BIG DATA AS A SERVICE MARKET: MAJOR REGIONS 30 5 MARKET OVERVIEW 31 5.1 INTRODUCTION 31 5.2 MARKET DYNAMICS 31 5.2.1 DRIVERS 32 5.2.1.1 Growing demand in industries to gain actionable insights from big data 32 5.2.1.2 Growth in data due to digitization and automation 32 5.2.2 RESTRAINTS 32 5.2.2.1 Complexity in extracting valuable insights out of humongous data source 32 5.2.3 OPPORTUNITIES 33 5.2.3.1 BDaaS solutions to enhance RoI and decision-making capabilities 33 5.2.3.2 Rapid advancement of cloud AI, ML, IoT, and advanced analytics to boost opportunities for BDaaS vendors 33 5.2.4 CHALLENGES 33 5.2.4.1 Security and privacy concerns 33 5.2.4.2 Lack of awareness of BDaaS solutions and professional expertise 34 6 BIG DATA AS A SERVICE MARKET, BY COMPONENT 35 6.1 INTRODUCTION 36 6.2 SOLUTIONS 37 6.2.1 HADOOP AS A SERVICE 39 6.2.2 DATA ANALYTICS AS A SERVICE 41 6.2.3 OTHERS 42 6.3 SERVICES 44 7 BIG DATA AS A SERVICE MARKET, BY ORGANIZATION SIZE 46 7.1 INTRODUCTION 47 7.2 LARGE ENTERPRISES 48 7.3 SMALL AND MEDIUM-SIZED ENTERPRISES 50 8 BIG DATA AS A SERVICE MARKET, BY DEPLOYMENT TYPE 52 8.1 INTRODUCTION 53 8.2 PUBLIC CLOUD 54 8.3 HYBRID CLOUD 55 8.4 PRIVATE CLOUD 57 9 BIG DATA AS A SERVICE MARKET, BY INDUSTRY VERTICAL 59 9.1 INTRODUCTION 60 9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 61 9.3 IT AND TELECOM 62 9.4 HEALTHCARE AND LIFE SCIENCES 63 9.5 ECOMMERCE AND RETAIL 64 9.6 MANUFACTURING 65 9.7 MEDIA AND ENTERTAINMENT 66 9.8 OTHERS 67
10 BIG DATA AS A SERVICE MARKET, BY REGION 68 10.1 INTRODUCTION 69 10.2 NORTH AMERICA 70 10.2.1 UNITED STATES 74 10.2.2 CANADA 76 10.3 EUROPE 78 10.3.1 UNITED KINGDOM 81 10.3.2 REST OF EUROPE 82 10.4 ASIA PACIFIC 84 10.4.1 CHINA 88 10.4.2 REST OF ASIA PACIFIC 90 10.5 LATIN AMERICA 92 10.6 MIDDLE EAST AND AFRICA 94 11 COMPETITIVE LANDSCAPE 97 11.1 INTRODUCTION 97 11.2 COMPETITIVE LEADERSHIP MAPPING 97 11.2.1 VISIONARY LEADERS 97 11.2.2 DYNAMIC DIFFERENTIATORS 97 11.2.3 INNOVATORS 98 11.2.4 EMERGING COMPANIES 98 12 COMPANY PROFILES 99 12.1 INTRODUCTION 99 12.2 GOOGLE 99 (Business Overview, Solutions and Services Offered, Recent Developments, and SWOT Analysis)* 12.3 MICROSOFT 102 12.4 AMAZON WEB SERVICES 105 12.5 IBM 108 12.6 ORACLE 110 12.7 SAP 113 12.8 TERADATA 116 12.9 SAS 118 12.10 DELL TECHNOLOGIES 120 12.11 HEWLETT PACKARD ENTERPRISE 122 12.12 SALESFORCE 124 12.13 SPLUNK 124 12.14 CLOUDERA 125 12.15 CENTURYLINK 125 12.16 QUBOLE 126 12.17 HITACHI VANTARA 126 12.18 IRI 127 12.19 GOODDATA 127 12.20 1010DATA 128 12.21 GUAVUS 128 *Details on Business Overview, Solutions and Services Offered, Recent Developments, and SWOT Analysis might not be captured in case of unlisted companies. 12.22 RIGHT TO WIN 129 13 APPENDIX 130 13.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 134 13.2 AVAILABLE CUSTOMIZATIONS 136 13.3 RELATED REPORTS 136 13.4 AUTHOR DETAILS 137
Growing demand in industries to gain actionable insights from big data and enormous growth of data due to digitization and automation across industries, to drive the adoption of BDaaS solutions
MarketsandMarkets estimates the global Big Data as a Service (BDaaS) market size to grow from USD 11.3 billion in 2019 to USD 42.7 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.5% during the forecast period. The BDaaS industry is growing rapidly owing to factors, such as growing demand in industries to gain actionable insights from big data and enormous growth of data due to digitization and automation across industries. However, complexities in extracting valuable insights out of humongous data sources are expected to limit the growth of the market.
Hybrid cloud deployment type to grow at the highest CAGR during the forecast period
As organizations are facing a tremendous growth of unstructured data, the requirement for data analysis is gaining traction among industry verticals. This data repository is a mix of active and frequently used data or inactive and less frequently used data. The hybrid cloud deployment type combines the benefits of both public and private cloud, which helps organizations analyze inactive data over the public cloud and active and sensitive business data through a more secure private cloud.
Banking, Financial Services and Insurance industry vertical to hold the highest market share in 2019
The Banking, Financial Services and Insurance (BFSI) industry vertical leverages the power of big data analytics to face challenges, such as strict banking regulations and reduced interest rates. There is a huge amount of data which is collected by the industry and can be used to generate revenue. Hence, the BFSI industry vertical is one of the largest adopters of BDaaS technologies, especially Hadoop. With the help of advanced technologies used in BDaaS solutions, the BFSI industry can enhance its customer experience, enterprise information management; enterprise performance management; and Governance, Risk and Compliance (GRC) services. The industry is gaining significant benefits by deploying cloud-based big data analytics solutions due to the improvement of the business processes by centralized processing of financial data. The banking industry has a huge volumes of customer data. Hence, the industry is deploying BDaaS solutions to extract valuable insights from these assets to enhance the overall customer experience.
Asia Pacific to grow at the highest CAGR during the forecast period
Asia Pacific (APAC) is expected to experience significant growth opportunities during the forecast period. With the increasing adoption of cloud technologies, digitalization, and automation of business processes, the adoption of BDaaS solutions in APAC is significantly increasing. A rapid change in enterprise requirements due to this digitalization and automation of business processes is one of the factors driving the growth of the BDaaS market in this region. APAC further demonstrates a combination of high growth rate, developing economies, and the mass adoption of mobile and the internet, thereby boosting the adoption of BDaaS solutions. The region has a large customer base and a significant presence of Small and Medium-sized Enterprises (SMEs). The increasing adoption of cloud-based big data analytics solutions among SMEs is expected to be the major factor driving the growth of the BDaaS market in the region.
In-depth interviews were conducted with the Chief Executive Officers (CEOs), Chief Marketing Officers (CMO), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the BDaaS market.
? By Company – Tier 1–49%, Tier 2–35%, and Tier 3–16%
? By Designation – C-Level Executives–40%, Director Level–36%, and Others–24%
? By Region – North America–40%, Europe–27%, APAC–18%, Latin America – 10%, and MEA – 5%
The BDaaS market comprises major solution providers, such as 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), and Guavus (US). The study includes in-depth competitive analysis of key players in the BDaaS market with their company profiles, recent developments, and key market strategies.
Research Coverage
The BDaaS market revenue is primarily classified into revenues from solutions and services. The market is also segmented on the basis of deployment type, organization size, industry vertical, and region.
Key benefits of the report
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall BDaaS market and its subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report would also help stakeholders understand the pulse of the market and provide them with information on the key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION 16 1.1 OBJECTIVES OF THE STUDY 16 1.2 MARKET DEFINITION 16 1.2.1 INCLUSIONS AND EXCLUSIONS 16 1.3 MARKET SCOPE 17 1.3.1 MARKET SEGMENTATION 17 1.3.2 YEARS CONSIDERED FOR THE STUDY 17 1.4 CURRENCY CONSIDERED 18 1.5 STAKEHOLDERS 18 2 RESEARCH METHODOLOGY 19 2.1 RESEARCH DATA 19 2.1.1 SECONDARY DATA 20 2.1.2 PRIMARY DATA 20 2.1.2.1 Breakup of primaries 20 2.1.2.2 Key industry insights 21 2.2 MARKET BREAKUP AND DATA TRIANGULATION 21 2.3 MARKET SIZE ESTIMATION 22 2.3.1 TOP-DOWN APPROACH 22 2.3.2 BOTTOM-UP APPROACH 23 2.4 MARKET FORECAST 23 2.5 ASSUMPTIONS FOR THE STUDY 24 2.6 LIMITATIONS OF THE STUDY 24 3 EXECUTIVE SUMMARY 25 4 PREMIUM INSIGHTS 29 4.1 ATTRACTIVE OPPORTUNITIES IN THE BIG DATA AS A SERVICE MARKET 29 4.2 NORTH AMERICA: BIG DATA AS A SERVICE MARKET, BY INDUSTRY VERTICAL AND COUNTRY 30 4.3 BIG DATA AS A SERVICE MARKET: MAJOR REGIONS 30 5 MARKET OVERVIEW 31 5.1 INTRODUCTION 31 5.2 MARKET DYNAMICS 31 5.2.1 DRIVERS 32 5.2.1.1 Growing demand in industries to gain actionable insights from big data 32 5.2.1.2 Growth in data due to digitization and automation 32 5.2.2 RESTRAINTS 32 5.2.2.1 Complexity in extracting valuable insights out of humongous data source 32 5.2.3 OPPORTUNITIES 33 5.2.3.1 BDaaS solutions to enhance RoI and decision-making capabilities 33 5.2.3.2 Rapid advancement of cloud AI, ML, IoT, and advanced analytics to boost opportunities for BDaaS vendors 33 5.2.4 CHALLENGES 33 5.2.4.1 Security and privacy concerns 33 5.2.4.2 Lack of awareness of BDaaS solutions and professional expertise 34 6 BIG DATA AS A SERVICE MARKET, BY COMPONENT 35 6.1 INTRODUCTION 36 6.2 SOLUTIONS 37 6.2.1 HADOOP AS A SERVICE 39 6.2.2 DATA ANALYTICS AS A SERVICE 41 6.2.3 OTHERS 42 6.3 SERVICES 44 7 BIG DATA AS A SERVICE MARKET, BY ORGANIZATION SIZE 46 7.1 INTRODUCTION 47 7.2 LARGE ENTERPRISES 48 7.3 SMALL AND MEDIUM-SIZED ENTERPRISES 50 8 BIG DATA AS A SERVICE MARKET, BY DEPLOYMENT TYPE 52 8.1 INTRODUCTION 53 8.2 PUBLIC CLOUD 54 8.3 HYBRID CLOUD 55 8.4 PRIVATE CLOUD 57 9 BIG DATA AS A SERVICE MARKET, BY INDUSTRY VERTICAL 59 9.1 INTRODUCTION 60 9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 61 9.3 IT AND TELECOM 62 9.4 HEALTHCARE AND LIFE SCIENCES 63 9.5 ECOMMERCE AND RETAIL 64 9.6 MANUFACTURING 65 9.7 MEDIA AND ENTERTAINMENT 66 9.8 OTHERS 67
10 BIG DATA AS A SERVICE MARKET, BY REGION 68 10.1 INTRODUCTION 69 10.2 NORTH AMERICA 70 10.2.1 UNITED STATES 74 10.2.2 CANADA 76 10.3 EUROPE 78 10.3.1 UNITED KINGDOM 81 10.3.2 REST OF EUROPE 82 10.4 ASIA PACIFIC 84 10.4.1 CHINA 88 10.4.2 REST OF ASIA PACIFIC 90 10.5 LATIN AMERICA 92 10.6 MIDDLE EAST AND AFRICA 94 11 COMPETITIVE LANDSCAPE 97 11.1 INTRODUCTION 97 11.2 COMPETITIVE LEADERSHIP MAPPING 97 11.2.1 VISIONARY LEADERS 97 11.2.2 DYNAMIC DIFFERENTIATORS 97 11.2.3 INNOVATORS 98 11.2.4 EMERGING COMPANIES 98 12 COMPANY PROFILES 99 12.1 INTRODUCTION 99 12.2 GOOGLE 99 (Business Overview, Solutions and Services Offered, Recent Developments, and SWOT Analysis)* 12.3 MICROSOFT 102 12.4 AMAZON WEB SERVICES 105 12.5 IBM 108 12.6 ORACLE 110 12.7 SAP 113 12.8 TERADATA 116 12.9 SAS 118 12.10 DELL TECHNOLOGIES 120 12.11 HEWLETT PACKARD ENTERPRISE 122 12.12 SALESFORCE 124 12.13 SPLUNK 124 12.14 CLOUDERA 125 12.15 CENTURYLINK 125 12.16 QUBOLE 126 12.17 HITACHI VANTARA 126 12.18 IRI 127 12.19 GOODDATA 127 12.20 1010DATA 128 12.21 GUAVUS 128 *Details on Business Overview, Solutions and Services Offered, Recent Developments, and SWOT Analysis might not be captured in case of unlisted companies. 12.22 RIGHT TO WIN 129 13 APPENDIX 130 13.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 134 13.2 AVAILABLE CUSTOMIZATIONS 136 13.3 RELATED REPORTS 136 13.4 AUTHOR DETAILS 137