Hadoop Market by Component (Hardware, Software, and Services), Deployment Model (On-premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and SMEs), and Industry Vertical (Manufacturing, BFSI, Retail & Consumer Goods, IT & Telecommunication, Hea
Description
Hadoop Market by Component (Hardware, Software, and Services), Deployment Model (On-premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and SMEs), and Industry Vertical (Manufacturing, BFSI, Retail & Consumer Goods, IT & Telecommunication, Healthcare, Government & Defense, Media & Entertainment, Energy & Utility, Trade & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2021-2030
Hadoop is a distributed processing platform that is used to analyze large amounts of data. Due to its cost-effectiveness and efficiency over traditional data analysis methods, such as RDBMS, the global Hadoop market has seen rapid expansion in recent years. In addition, Hadoop makes it easier to use all the storage and processing capacity in cluster servers, and to execute distributed processes against huge amounts of data. Hadoop provides the building blocks, on which other services and applications can be built.
Cost-effective and fast data processing and large volumes of unstructured data boost the growth of the global Hadoop market. In addition, increase in demand for data analytics positively impacts the growth of the market. However, increase in security concerns regarding Hadoop architecture, distributed computing, and access to data and fragmented data hamper the market growth. On the contrary, partnerships and funding’s taking place in Hadoop market and data fusion is expected to offer remunerative opportunities for expansion of the market during the forecast period.
The Hadoop market is segmented on the basis of component, deployment model, enterprise size, Industry Vertical, and region. On the basis of component, it is divided into hardware, software, and services. On the basis of deployment type, it is classified into on-premise, cloud, and hybrid. By enterprise size, it is bifurcated into large enterprises and SMEs. By industry vertical, it is segregated into manufacturing, BFSI, retail & consumer goods, IT & telecommunication, healthcare, government & defense, media & entertainment, energy & utility, trade & transportation, and others. Region -wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The global Hadoop market is dominated by Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Hitachi Vantara Corporation, Fair Isaac Corporation, MapR Technologies, MarkLogic, Microsoft Corporation, and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
KEY BENEFITS FOR STAKEHOLDERS
The study provides an in-depth analysis of the global Hadoop market forecast along with the current & future trends to explain the imminent investment pockets.
Information about key drivers, restraints, & opportunities and their impact analysis on global Hadoop market trends is provided in the report.
The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
By Component
Hardware
Software
Services
By Deployment Model
On Premise
Cloud
Hybrid
By Enterprise size
Large Enterprises
SMEs
By Industry Vertical
Manufacturing
BFSI
Retail & Consumer Goods
IT & Telecommunications
Healthcare
Government & Defense
Media & Entertainment
Energy & Utility
Trade & Transportation
Others
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
KEY MARKET PLAYERS
Amazon Web Services
Cisco Systems, Inc.
Cloudera, Inc.
Datameer, Inc.
Hitachi Data Systems
Fair Isaac Corporation
MapR Technologies
MarkLogic
Microsoft Corporation
Teradata Corporation
Hadoop is a distributed processing platform that is used to analyze large amounts of data. Due to its cost-effectiveness and efficiency over traditional data analysis methods, such as RDBMS, the global Hadoop market has seen rapid expansion in recent years. In addition, Hadoop makes it easier to use all the storage and processing capacity in cluster servers, and to execute distributed processes against huge amounts of data. Hadoop provides the building blocks, on which other services and applications can be built.
Cost-effective and fast data processing and large volumes of unstructured data boost the growth of the global Hadoop market. In addition, increase in demand for data analytics positively impacts the growth of the market. However, increase in security concerns regarding Hadoop architecture, distributed computing, and access to data and fragmented data hamper the market growth. On the contrary, partnerships and funding’s taking place in Hadoop market and data fusion is expected to offer remunerative opportunities for expansion of the market during the forecast period.
The Hadoop market is segmented on the basis of component, deployment model, enterprise size, Industry Vertical, and region. On the basis of component, it is divided into hardware, software, and services. On the basis of deployment type, it is classified into on-premise, cloud, and hybrid. By enterprise size, it is bifurcated into large enterprises and SMEs. By industry vertical, it is segregated into manufacturing, BFSI, retail & consumer goods, IT & telecommunication, healthcare, government & defense, media & entertainment, energy & utility, trade & transportation, and others. Region -wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The global Hadoop market is dominated by Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Hitachi Vantara Corporation, Fair Isaac Corporation, MapR Technologies, MarkLogic, Microsoft Corporation, and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
KEY BENEFITS FOR STAKEHOLDERS
The study provides an in-depth analysis of the global Hadoop market forecast along with the current & future trends to explain the imminent investment pockets.
Information about key drivers, restraints, & opportunities and their impact analysis on global Hadoop market trends is provided in the report.
The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Key Market Segments
By Component
Hardware
Software
Services
By Deployment Model
On Premise
Cloud
Hybrid
By Enterprise size
Large Enterprises
SMEs
By Industry Vertical
Manufacturing
BFSI
Retail & Consumer Goods
IT & Telecommunications
Healthcare
Government & Defense
Media & Entertainment
Energy & Utility
Trade & Transportation
Others
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
KEY MARKET PLAYERS
Amazon Web Services
Cisco Systems, Inc.
Cloudera, Inc.
Datameer, Inc.
Hitachi Data Systems
Fair Isaac Corporation
MapR Technologies
MarkLogic
Microsoft Corporation
Teradata Corporation
Table of Contents
283 Pages
- CHAPTER 1:INTRODUCTION
- 1.1.Report Description
- 1.2.Key Market Segments
- 1.3.Key Benefits
- 1.4.Research Methodology
- 1.4.1. Primary Research
- 1.4.2. Secondary Research
- 1.4.3. Analyst Tools and Models
- CHAPTER 2:EXECUTIVE SUMMARY
- 2.1.CXO Perspective
- CHAPTER 3:MARKET LANDSCAPE
- 3.1.Market Definition and Scope
- 3.2.Key Findings
- 3.2.1. Top Investment Pockets
- 3.2.2. Top Winning Strategies
- 3.3.Porter's Five Forces Analysis
- 3.3.1. Bargaining Power of Suppliers
- 3.3.2. Threat of New Entrants
- 3.3.3. Threat of Substitutes
- 3.3.4. Competitive Rivalry
- 3.3.5. Bargaining Power among Buyers
- 3.4.Market Share Analysis/Top Player Positioning
- 3.4.1. Market Share Analysis/Top Player Positioning 2020
- 3.5.Market Dynamics
- 3.5.1. Drivers
- 3.5.2. Restraints
- 3.5.3. Opportunities
- 3.6. COVID-19 Impact Analysis
- 3.7. Competitive Heat map
- CHAPTER 4:HADOOP MARKET, BY COMPONENT
- 4.1.Market Overview
- 4.1.1Market Size and Forecast, By Component
- 4.2. Hardware
- 4.2.1. Key Market Trends, Growth Factors and Opportunities
- 4.2.2. Market Size and Forecast, By Region
- 4.2.3. Market Share Analysis, By Country
- 4.3. Software
- 4.3.1. Key Market Trends, Growth Factors and Opportunities
- 4.3.2. Market Size and Forecast, By Region
- 4.3.3. Market Share Analysis, By Country
- 4.4. Service
- 4.4.1. Key Market Trends, Growth Factors and Opportunities
- 4.4.2. Market Size and Forecast, By Region
- 4.4.3. Market Share Analysis, By Country
- CHAPTER 5:HADOOP MARKET, BY DEPLOYMENT MODEL
- 5.1.Market Overview
- 5.1.1Market Size and Forecast, By Deployment Model
- 5.2. On Premise
- 5.2.1. Key Market Trends, Growth Factors and Opportunities
- 5.2.2. Market Size and Forecast, By Region
- 5.2.3. Market Share Analysis, By Country
- 5.3. Cloud
- 5.3.1. Key Market Trends, Growth Factors and Opportunities
- 5.3.2. Market Size and Forecast, By Region
- 5.3.3. Market Share Analysis, By Country
- 5.4. Hybrid
- 5.4.1. Key Market Trends, Growth Factors and Opportunities
- 5.4.2. Market Size and Forecast, By Region
- 5.4.3. Market Share Analysis, By Country
- CHAPTER 6:HADOOP MARKET, BY ENTERPRISE SIZE
- 6.1.Market Overview
- 6.1.1Market Size and Forecast, By Enterprise Size
- 6.2. Large Enterprises
- 6.2.1. Key Market Trends, Growth Factors and Opportunities
- 6.2.2. Market Size and Forecast, By Region
- 6.2.3. Market Share Analysis, By Country
- 6.3. SMEs
- 6.3.1. Key Market Trends, Growth Factors and Opportunities
- 6.3.2. Market Size and Forecast, By Region
- 6.3.3. Market Share Analysis, By Country
- CHAPTER 7:HADOOP MARKET, BY INDUSTRY VERTICAL
- 7.1.Market Overview
- 7.1.1Market Size and Forecast, By Industry Vertical
- 7.2. Manufacturing
- 7.2.1. Key Market Trends, Growth Factors and Opportunities
- 7.2.2. Market Size and Forecast, By Region
- 7.2.3. Market Share Analysis, By Country
- 7.3. BFSI
- 7.3.1. Key Market Trends, Growth Factors and Opportunities
- 7.3.2. Market Size and Forecast, By Region
- 7.3.3. Market Share Analysis, By Country
- 7.4. Retail and Consumer Goods
- 7.4.1. Key Market Trends, Growth Factors and Opportunities
- 7.4.2. Market Size and Forecast, By Region
- 7.4.3. Market Share Analysis, By Country
- 7.5. IT and Telecommunication
- 7.5.1. Key Market Trends, Growth Factors and Opportunities
- 7.5.2. Market Size and Forecast, By Region
- 7.5.3. Market Share Analysis, By Country
- 7.6. Healthcare
- 7.6.1. Key Market Trends, Growth Factors and Opportunities
- 7.6.2. Market Size and Forecast, By Region
- 7.6.3. Market Share Analysis, By Country
- 7.7. Government and Defense
- 7.7.1. Key Market Trends, Growth Factors and Opportunities
- 7.7.2. Market Size and Forecast, By Region
- 7.7.3. Market Share Analysis, By Country
- 7.8. Media and Entertainment
- 7.8.1. Key Market Trends, Growth Factors and Opportunities
- 7.8.2. Market Size and Forecast, By Region
- 7.8.3. Market Share Analysis, By Country
- 7.9. Energy and Utility
- 7.9.1. Key Market Trends, Growth Factors and Opportunities
- 7.9.2. Market Size and Forecast, By Region
- 7.9.3. Market Share Analysis, By Country
- 7.10. Trade and Transportation
- 7.10.1. Key Market Trends, Growth Factors and Opportunities
- 7.10.2. Market Size and Forecast, By Region
- 7.10.3. Market Share Analysis, By Country
- 7.11. Others
- 7.11.1. Key Market Trends, Growth Factors and Opportunities
- 7.11.2. Market Size and Forecast, By Region
- 7.11.3. Market Share Analysis, By Country
- CHAPTER 8:HADOOP MARKET, BY REGION
- 8.1.Market Overview
- 8.1.1Market Size and Forecast, By Region
- 8.2.North America
- 8.2.1. Key Market Trends and Opportunities
- 8.2.2. Market Size and Forecast, By Component
- 8.2.3. Market Size and Forecast, By Deployment Model
- 8.2.4. Market Size and Forecast, By Enterprise Size
- 8.2.5. Market Size and Forecast, By Industry Vertical
- 8.2.6. Market Size and Forecast, By Country
- 8.2.7. United States Hadoop Market
- 8.2.7.1. Market Size and Forecast, By Component
- 8.2.7.2. Market Size and Forecast, By Deployment Model
- 8.2.7.3. Market Size and Forecast, By Enterprise Size
- 8.2.7.4. Market Size and Forecast, By Industry Vertical
- 8.2.8. Canada Hadoop Market
- 8.2.8.1. Market Size and Forecast, By Component
- 8.2.8.2. Market Size and Forecast, By Deployment Model
- 8.2.8.3. Market Size and Forecast, By Enterprise Size
- 8.2.8.4. Market Size and Forecast, By Industry Vertical
- 8.3.Europe
- 8.3.1. Key Market Trends and Opportunities
- 8.3.2. Market Size and Forecast, By Component
- 8.3.3. Market Size and Forecast, By Deployment Model
- 8.3.4. Market Size and Forecast, By Enterprise Size
- 8.3.5. Market Size and Forecast, By Industry Vertical
- 8.3.6. Market Size and Forecast, By Country
- 8.3.7. UK Hadoop Market
- 8.3.7.1. Market Size and Forecast, By Component
- 8.3.7.2. Market Size and Forecast, By Deployment Model
- 8.3.7.3. Market Size and Forecast, By Enterprise Size
- 8.3.7.4. Market Size and Forecast, By Industry Vertical
- 8.3.8. Germany Hadoop Market
- 8.3.8.1. Market Size and Forecast, By Component
- 8.3.8.2. Market Size and Forecast, By Deployment Model
- 8.3.8.3. Market Size and Forecast, By Enterprise Size
- 8.3.8.4. Market Size and Forecast, By Industry Vertical
- 8.3.9. France Hadoop Market
- 8.3.9.1. Market Size and Forecast, By Component
- 8.3.9.2. Market Size and Forecast, By Deployment Model
- 8.3.9.3. Market Size and Forecast, By Enterprise Size
- 8.3.9.4. Market Size and Forecast, By Industry Vertical
- 8.3.10. Russia Hadoop Market
- 8.3.10.1. Market Size and Forecast, By Component
- 8.3.10.2. Market Size and Forecast, By Deployment Model
- 8.3.10.3. Market Size and Forecast, By Enterprise Size
- 8.3.10.4. Market Size and Forecast, By Industry Vertical
- 8.3.11. Rest of Europe Hadoop Market
- 8.3.11.1. Market Size and Forecast, By Component
- 8.3.11.2. Market Size and Forecast, By Deployment Model
- 8.3.11.3. Market Size and Forecast, By Enterprise Size
- 8.3.11.4. Market Size and Forecast, By Industry Vertical
- 8.4.Asia-Pacific
- 8.4.1. Key Market Trends and Opportunities
- 8.4.2. Market Size and Forecast, By Component
- 8.4.3. Market Size and Forecast, By Deployment Model
- 8.4.4. Market Size and Forecast, By Enterprise Size
- 8.4.5. Market Size and Forecast, By Industry Vertical
- 8.4.6. Market Size and Forecast, By Country
- 8.4.7. China Hadoop Market
- 8.4.7.1. Market Size and Forecast, By Component
- 8.4.7.2. Market Size and Forecast, By Deployment Model
- 8.4.7.3. Market Size and Forecast, By Enterprise Size
- 8.4.7.4. Market Size and Forecast, By Industry Vertical
- 8.4.8. Japan Hadoop Market
- 8.4.8.1. Market Size and Forecast, By Component
- 8.4.8.2. Market Size and Forecast, By Deployment Model
- 8.4.8.3. Market Size and Forecast, By Enterprise Size
- 8.4.8.4. Market Size and Forecast, By Industry Vertical
- 8.4.9. India Hadoop Market
- 8.4.9.1. Market Size and Forecast, By Component
- 8.4.9.2. Market Size and Forecast, By Deployment Model
- 8.4.9.3. Market Size and Forecast, By Enterprise Size
- 8.4.9.4. Market Size and Forecast, By Industry Vertical
- 8.4.10. South Korea Hadoop Market
- 8.4.10.1. Market Size and Forecast, By Component
- 8.4.10.2. Market Size and Forecast, By Deployment Model
- 8.4.10.3. Market Size and Forecast, By Enterprise Size
- 8.4.10.4. Market Size and Forecast, By Industry Vertical
- 8.4.11. Australia Hadoop Market
- 8.4.11.1. Market Size and Forecast, By Component
- 8.4.11.2. Market Size and Forecast, By Deployment Model
- 8.4.11.3. Market Size and Forecast, By Enterprise Size
- 8.4.11.4. Market Size and Forecast, By Industry Vertical
- 8.4.12. Rest of Asia Pacific Hadoop Market
- 8.4.12.1. Market Size and Forecast, By Component
- 8.4.12.2. Market Size and Forecast, By Deployment Model
- 8.4.12.3. Market Size and Forecast, By Enterprise Size
- 8.4.12.4. Market Size and Forecast, By Industry Vertical
- 8.5.LAMEA
- 8.5.1. Key Market Trends and Opportunities
- 8.5.2. Market Size and Forecast, By Component
- 8.5.3. Market Size and Forecast, By Deployment Model
- 8.5.4. Market Size and Forecast, By Enterprise Size
- 8.5.5. Market Size and Forecast, By Industry Vertical
- 8.5.6. Market Size and Forecast, By Country
- 8.5.7. Latin America Hadoop Market
- 8.5.7.1. Market Size and Forecast, By Component
- 8.5.7.2. Market Size and Forecast, By Deployment Model
- 8.5.7.3. Market Size and Forecast, By Enterprise Size
- 8.5.7.4. Market Size and Forecast, By Industry Vertical
- 8.5.8. Middle East Hadoop Market
- 8.5.8.1. Market Size and Forecast, By Component
- 8.5.8.2. Market Size and Forecast, By Deployment Model
- 8.5.8.3. Market Size and Forecast, By Enterprise Size
- 8.5.8.4. Market Size and Forecast, By Industry Vertical
- 8.5.9. Africa Hadoop Market
- 8.5.9.1. Market Size and Forecast, By Component
- 8.5.9.2. Market Size and Forecast, By Deployment Model
- 8.5.9.3. Market Size and Forecast, By Enterprise Size
- 8.5.9.4. Market Size and Forecast, By Industry Vertical
- CHAPTER 9:COMPANY PROFILES
- 9.1. Amazon Web Services
- 9.1.1.Company Overview
- 9.1.2.Key Executives
- 9.1.3.Company snapshot
- 9.1.4.Operating business segments
- 9.1.5.Product portfolio
- 9.1.6.Business Performance
- 9.1.7.Key Strategic Moves and Developments
- 9.2. Cisco Systems, Inc.
- 9.2.1.Company Overview
- 9.2.2.Key Executives
- 9.2.3.Company snapshot
- 9.2.4.Operating business segments
- 9.2.5.Product portfolio
- 9.2.6.Business Performance
- 9.2.7.Key Strategic Moves and Developments
- 9.3. Cloudera, Inc.
- 9.3.1.Company Overview
- 9.3.2.Key Executives
- 9.3.3.Company snapshot
- 9.3.4.Operating business segments
- 9.3.5.Product portfolio
- 9.3.6.Business Performance
- 9.3.7.Key Strategic Moves and Developments
- 9.4. Datameer, Inc.
- 9.4.1.Company Overview
- 9.4.2.Key Executives
- 9.4.3.Company snapshot
- 9.4.4.Operating business segments
- 9.4.5.Product portfolio
- 9.4.6.Business Performance
- 9.4.7.Key Strategic Moves and Developments
- 9.5. Hitachi Data Systems
- 9.5.1.Company Overview
- 9.5.2.Key Executives
- 9.5.3.Company snapshot
- 9.5.4.Operating business segments
- 9.5.5.Product portfolio
- 9.5.6.Business Performance
- 9.5.7.Key Strategic Moves and Developments
- 9.6. Fair Isaac Corporation
- 9.6.1.Company Overview
- 9.6.2.Key Executives
- 9.6.3.Company snapshot
- 9.6.4.Operating business segments
- 9.6.5.Product portfolio
- 9.6.6.Business Performance
- 9.6.7.Key Strategic Moves and Developments
- 9.7. MapR Technologies
- 9.7.1.Company Overview
- 9.7.2.Key Executives
- 9.7.3.Company snapshot
- 9.7.4.Operating business segments
- 9.7.5.Product portfolio
- 9.7.6.Business Performance
- 9.7.7.Key Strategic Moves and Developments
- 9.8. MarkLogic
- 9.8.1.Company Overview
- 9.8.2.Key Executives
- 9.8.3.Company snapshot
- 9.8.4.Operating business segments
- 9.8.5.Product portfolio
- 9.8.6.Business Performance
- 9.8.7.Key Strategic Moves and Developments
- 9.9. Microsoft Corporation
- 9.9.1.Company Overview
- 9.9.2.Key Executives
- 9.9.3.Company snapshot
- 9.9.4.Operating business segments
- 9.9.5.Product portfolio
- 9.9.6.Business Performance
- 9.9.7.Key Strategic Moves and Developments
- 9.10. Teradata Corporation
- 9.10.1.Company Overview
- 9.10.2.Key Executives
- 9.10.3.Company snapshot
- 9.10.4.Operating business segments
- 9.10.5.Product portfolio
- 9.10.6.Business Performance
- 9.10.7.Key Strategic Moves and Developments
- Note: *Details on financial performance and strategic moves and developments may not be captured for unlisted companies.
- *List of companies profiled in this TOC is tentative and may change after detailed analysis.
- *Market size and forecast will be provided from 2020-2030, and forecast period would be 2021-2030.
- *The provided information and segments are for representation purpose only. The actual information delivered would change significantly as per findings during the course of study and upon its completion.
- LIST OF TABLES
- TABLE 1.GLOBAL HADOOP MARKET, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 2.GLOBAL HADOOP MARKET FOR HARDWARE, BY REGION, 2020-2030 ($MILLION)
- TABLE 3.GLOBAL HADOOP MARKET FOR SOFTWARE, BY REGION, 2020-2030 ($MILLION)
- TABLE 4.GLOBAL HADOOP MARKET FOR SERVICE, BY REGION, 2020-2030 ($MILLION)
- TABLE 5.GLOBAL HADOOP MARKET, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 6.GLOBAL HADOOP MARKET FOR ON PREMISE, BY REGION, 2020-2030 ($MILLION)
- TABLE 7.GLOBAL HADOOP MARKET FOR CLOUD, BY REGION, 2020-2030 ($MILLION)
- TABLE 8.GLOBAL HADOOP MARKET FOR HYBRID, BY REGION, 2020-2030 ($MILLION)
- TABLE 9.GLOBAL HADOOP MARKET, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 10.GLOBAL HADOOP MARKET FOR LARGE ENTERPRISES, BY REGION, 2020-2030 ($MILLION)
- TABLE 11.GLOBAL HADOOP MARKET FOR SMES, BY REGION, 2020-2030 ($MILLION)
- TABLE 12.GLOBAL HADOOP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 13.GLOBAL HADOOP MARKET FOR MANUFACTURING, BY REGION, 2020-2030 ($MILLION)
- TABLE 14.GLOBAL HADOOP MARKET FOR BFSI, BY REGION, 2020-2030 ($MILLION)
- TABLE 15.GLOBAL HADOOP MARKET FOR RETAIL AND CONSUMER GOODS, BY REGION, 2020-2030 ($MILLION)
- TABLE 16.GLOBAL HADOOP MARKET FOR IT AND TELECOMMUNICATION, BY REGION, 2020-2030 ($MILLION)
- TABLE 17.GLOBAL HADOOP MARKET FOR HEALTHCARE, BY REGION, 2020-2030 ($MILLION)
- TABLE 18.GLOBAL HADOOP MARKET FOR GOVERNMENT AND DEFENSE, BY REGION, 2020-2030 ($MILLION)
- TABLE 19.GLOBAL HADOOP MARKET FOR MEDIA AND ENTERTAINMENT, BY REGION, 2020-2030 ($MILLION)
- TABLE 20.GLOBAL HADOOP MARKET FOR ENERGY AND UTILITY, BY REGION, 2020-2030 ($MILLION)
- TABLE 21.GLOBAL HADOOP MARKET FOR TRADE AND TRANSPORTATION, BY REGION, 2020-2030 ($MILLION)
- TABLE 22.GLOBAL HADOOP MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
- TABLE 23.GLOBAL HADOOP MARKET, BY REGION, 2020-2030 ($MILLION)
- TABLE 24.NORTH AMERICA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 25.NORTH AMERICA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 26.NORTH AMERICA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 27.NORTH AMERICA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 28.UNITED STATES HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 29.UNITED STATES HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 30.UNITED STATES HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 31.UNITED STATES HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 32.CANADA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 33.CANADA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 34.CANADA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 35.CANADA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 36.EUROPE HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 37.EUROPE HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 38.EUROPE HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 39.EUROPE HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 40.UK HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 41.UK HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 42.UK HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 43.UK HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 44.GERMANY HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 45.GERMANY HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 46.GERMANY HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 47.GERMANY HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 48.FRANCE HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 49.FRANCE HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 50.FRANCE HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 51.FRANCE HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 52.RUSSIA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 53.RUSSIA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 54.RUSSIA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 55.RUSSIA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 56.REST OF EUROPE HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 57.REST OF EUROPE HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 58.REST OF EUROPE HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 59.REST OF EUROPE HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 60.ASIA-PACIFIC HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 61.ASIA-PACIFIC HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 62.ASIA-PACIFIC HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 63.ASIA-PACIFIC HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 64.CHINA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 65.CHINA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 66.CHINA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 67.CHINA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 68.JAPAN HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 69.JAPAN HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 70.JAPAN HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 71.JAPAN HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 72.INDIA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 73.INDIA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 74.INDIA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 75.INDIA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 76.SOUTH KOREA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 77.SOUTH KOREA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 78.SOUTH KOREA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 79.SOUTH KOREA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 80.AUSTRALIA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 81.AUSTRALIA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 82.AUSTRALIA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 83.AUSTRALIA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 84.REST OF ASIA PACIFIC HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 85.REST OF ASIA PACIFIC HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 86.REST OF ASIA PACIFIC HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 87.REST OF ASIA PACIFIC HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 88.LAMEA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 89.LAMEA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 90.LAMEA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 91.LAMEA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 92.LATIN AMERICA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 93.LATIN AMERICA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 94.LATIN AMERICA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 95.LATIN AMERICA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 96.MIDDLE EAST HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 97.MIDDLE EAST HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 98.MIDDLE EAST HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 99.MIDDLE EAST HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 100.AFRICA HADOOP, BY COMPONENT, 2020-2030 ($MILLION)
- TABLE 101.AFRICA HADOOP, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
- TABLE 102.AFRICA HADOOP, BY ENTERPRISE SIZE, 2020-2030 ($MILLION)
- TABLE 103.AFRICA HADOOP, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
- TABLE 104.AMAZON WEB SERVICES: KEY EXECUTIVES
- TABLE 105.AMAZON WEB SERVICES: COMPANY SNAPSHOT
- TABLE 106.AMAZON WEB SERVICES: OPERATING SEGMENTS
- TABLE 107.AMAZON WEB SERVICES: PRODUCT PORTFOLIO
- TABLE 108.AMAZON WEB SERVICES: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 109.CISCO SYSTEMS, INC.: KEY EXECUTIVES
- TABLE 110.CISCO SYSTEMS, INC.: COMPANY SNAPSHOT
- TABLE 111.CISCO SYSTEMS, INC.: OPERATING SEGMENTS
- TABLE 112.CISCO SYSTEMS, INC.: PRODUCT PORTFOLIO
- TABLE 113.CISCO SYSTEMS, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 114.CLOUDERA, INC.: KEY EXECUTIVES
- TABLE 115.CLOUDERA, INC.: COMPANY SNAPSHOT
- TABLE 116.CLOUDERA, INC.: OPERATING SEGMENTS
- TABLE 117.CLOUDERA, INC.: PRODUCT PORTFOLIO
- TABLE 118.CLOUDERA, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 119.DATAMEER, INC.: KEY EXECUTIVES
- TABLE 120.DATAMEER, INC.: COMPANY SNAPSHOT
- TABLE 121.DATAMEER, INC.: OPERATING SEGMENTS
- TABLE 122.DATAMEER, INC.: PRODUCT PORTFOLIO
- TABLE 123.DATAMEER, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 124.HITACHI DATA SYSTEMS: KEY EXECUTIVES
- TABLE 125.HITACHI DATA SYSTEMS: COMPANY SNAPSHOT
- TABLE 126.HITACHI DATA SYSTEMS: OPERATING SEGMENTS
- TABLE 127.HITACHI DATA SYSTEMS: PRODUCT PORTFOLIO
- TABLE 128.HITACHI DATA SYSTEMS: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 129.FAIR ISAAC CORPORATION: KEY EXECUTIVES
- TABLE 130.FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
- TABLE 131.FAIR ISAAC CORPORATION: OPERATING SEGMENTS
- TABLE 132.FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
- TABLE 133.FAIR ISAAC CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 134.MAPR TECHNOLOGIES: KEY EXECUTIVES
- TABLE 135.MAPR TECHNOLOGIES: COMPANY SNAPSHOT
- TABLE 136.MAPR TECHNOLOGIES: OPERATING SEGMENTS
- TABLE 137.MAPR TECHNOLOGIES: PRODUCT PORTFOLIO
- TABLE 138.MAPR TECHNOLOGIES: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 139.MARKLOGIC: KEY EXECUTIVES
- TABLE 140.MARKLOGIC: COMPANY SNAPSHOT
- TABLE 141.MARKLOGIC: OPERATING SEGMENTS
- TABLE 142.MARKLOGIC: PRODUCT PORTFOLIO
- TABLE 143.MARKLOGIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 144.MICROSOFT CORPORATION: KEY EXECUTIVES
- TABLE 145.MICROSOFT CORPORATION: COMPANY SNAPSHOT
- TABLE 146.MICROSOFT CORPORATION: OPERATING SEGMENTS
- TABLE 147.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
- TABLE 148.MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
- TABLE 149.TERADATA CORPORATION: KEY EXECUTIVES
- TABLE 150.TERADATA CORPORATION: COMPANY SNAPSHOT
- TABLE 151.TERADATA CORPORATION: OPERATING SEGMENTS
- TABLE 152.TERADATA CORPORATION: PRODUCT PORTFOLIO
- TABLE 153.TERADATA CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
- LIST OF FIGURES
- FIGURE 1.GLOBAL HADOOP MARKET SEGMENTATION
- FIGURE 2.GLOBAL HADOOP MARKET
- FIGURE 3.SEGMENTATION HADOOP MARKET
- FIGURE 4.TOP INVESTMENT POCKET IN HADOOP MARKET
- FIGURE 5.TOP WINNING STRATEGIES, 2019-2021*
- FIGURE 6.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021(%)
- FIGURE 7.TOP WINNING STRATEGIES, BY COMPANY, 2019-2021*
- FIGURE 8.MODERATE BARGAINING POWER OF BUYERS
- FIGURE 9.MODERATE BARGAINING POWER OF SUPPLIERS
- FIGURE 10.MODERATE THREAT OF NEW ENTRANTS
- FIGURE 11.LOW THREAT OF SUBSTITUTION
- FIGURE 12.HIGH COMPETITIVE RIVALRY
- FIGURE 13.TOP PLAYER POSITIONING, 2020
- FIGURE 14.MARKET SHARE ANALYSIS, 2020
- FIGURE 15.RESTRAINTS AND DRIVERS: HADOOP MARKET
- FIGURE 16.HADOOP MARKET SEGMENTATION, BY COMPONENT
- FIGURE 17.HADOOP MARKET FOR HARDWARE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 18.HADOOP MARKET FOR SOFTWARE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 19.HADOOP MARKET FOR SERVICE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 20.HADOOP MARKET SEGMENTATION, BY DEPLOYMENT MODEL
- FIGURE 21.HADOOP MARKET FOR ON PREMISE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 22.HADOOP MARKET FOR CLOUD, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 23.HADOOP MARKET FOR HYBRID, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 24.HADOOP MARKET SEGMENTATION, BY ENTERPRISE SIZE
- FIGURE 25.HADOOP MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 26.HADOOP MARKET FOR SMES, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 27.HADOOP MARKET SEGMENTATION, BY INDUSTRY VERTICAL
- FIGURE 28.HADOOP MARKET FOR MANUFACTURING, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 29.HADOOP MARKET FOR BFSI, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 30.HADOOP MARKET FOR RETAIL AND CONSUMER GOODS, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 31.HADOOP MARKET FOR IT AND TELECOMMUNICATION, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 32.HADOOP MARKET FOR HEALTHCARE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 33.HADOOP MARKET FOR GOVERNMENT AND DEFENSE, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 34.HADOOP MARKET FOR MEDIA AND ENTERTAINMENT, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 35.HADOOP MARKET FOR ENERGY AND UTILITY, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 36.HADOOP MARKET FOR TRADE AND TRANSPORTATION, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 37.HADOOP MARKET FOR OTHERS, BY COUNTRY, 2020-2030 ($MILLION)
- FIGURE 38.AMAZON WEB SERVICES: NET SALES, 2018-2020 ($MILLION)
- FIGURE 39.AMAZON WEB SERVICES: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 40.AMAZON WEB SERVICES: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 41.CISCO SYSTEMS, INC.: NET SALES, 2018-2020 ($MILLION)
- FIGURE 42.CISCO SYSTEMS, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 43.CISCO SYSTEMS, INC.: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 44.CLOUDERA, INC.: NET SALES, 2018-2020 ($MILLION)
- FIGURE 45.CLOUDERA, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 46.CLOUDERA, INC.: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 47.DATAMEER, INC.: NET SALES, 2018-2020 ($MILLION)
- FIGURE 48.DATAMEER, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 49.DATAMEER, INC.: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 50.HITACHI DATA SYSTEMS: NET SALES, 2018-2020 ($MILLION)
- FIGURE 51.HITACHI DATA SYSTEMS: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 52.HITACHI DATA SYSTEMS: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 53.FAIR ISAAC CORPORATION: NET SALES, 2018-2020 ($MILLION)
- FIGURE 54.FAIR ISAAC CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 55.FAIR ISAAC CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 56.MAPR TECHNOLOGIES: NET SALES, 2018-2020 ($MILLION)
- FIGURE 57.MAPR TECHNOLOGIES: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 58.MAPR TECHNOLOGIES: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 59.MARKLOGIC: NET SALES, 2018-2020 ($MILLION)
- FIGURE 60.MARKLOGIC: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 61.MARKLOGIC: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 62.MICROSOFT CORPORATION: NET SALES, 2018-2020 ($MILLION)
- FIGURE 63.MICROSOFT CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 64.MICROSOFT CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
- FIGURE 65.TERADATA CORPORATION: NET SALES, 2018-2020 ($MILLION)
- FIGURE 66.TERADATA CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
- FIGURE 67.TERADATA CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
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