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A00695 | Pages: 283 | Charts: 67 | Tables: 153 |
The global hadoop market was valued at $35.74 billion in 2020, and is projected to reach $842.25 billion by 2030, registering a CAGR of 37.4% from 2021 to 2030. Hadoop is an open-source framework used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly. In addition, Hadoop ecosystem includes many tools and applications to help collect, store, process, analyze, and manage big data.
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 taking place in the Hadoop market and data fusion are expected to offer remunerative opportunities for expansion of the market during the forecast period.
In terms of component, the services segment holds the largest Hadoop market share, owing to increasing venture capital investment in the Hadoop integration and deployment services. However, the software segment is expected to grow at the highest rate during the forecast period, owing to increase in implementation by developers to build real-time applications simplify complex products and helps developers to write Hadoop applications or analyze data stored in Hadoop. Region wise, the Hadoop market share was dominated by North America in 2020, and is expected to retain its position during the forecast period, due to the early adoption of Hadoop and high technological advancement. However, Asia-Pacific is expected to witness significant growth during the forecast period, owing to rise in digitization and increase in data generated by IoT devices.
[COMPONENTGRAPH]
The global 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 service. 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 industry 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.
The Hadoop market size has grown significantly in recent years; but, due to the outbreak of the COVID-19 pandemic, the market is expected to experience a sharp decline in 2020. This is due to governments implementing lockdown in the majority of countries and halt in travel across the globe to prevent the spread of the virus. Following the recovery from the COVID-19 pandemic, the Hadoop industry is expected to grow in the next years. Various firms globally have implemented a work-from-home culture for their staff, resulting in demand for cloud-based Hadoop analytics to manage crucial information, presenting a potential market opportunity. Increase in volume of data generated by different industries and the need to manage this data are the key factors that drive the growth of the market. In addition, governments of numerous countries are adopting Hadoop analytics to update real-time data of the COVID-19 and to make actionable insights from the data. Furthermore, Hadoop helps various researchers, healthcare workers, and scientists to aggregate and synthesize incident data on a regular and global scale.
[INDUSTRYVERTICALGRAPH]
Hadoop is an efficient and cost-effective platform for big data because it runs on commodity servers with attached storage, which is a less expensive architecture than a dedicated storage area network (SAN). In addition, Hadoop clusters are also very scalable, which is important because big data programs tend to get bigger as users gain experience and business value from them. Moreover, Hadoop, not only makes it cost effective to work the big data, but also reduces the costs of maintaining an existing enterprise data warehouse. That’s because the essential extract-transport-load (ETL) tasks that are typically performed on the enterprise data warehouses (EDWs) can be offloaded for execution on lower-cost Hadoop clusters. ETL takes a lot of processing cycles, so it is more resource efficient not to execute them on the high-end machines where enterprise data warehouses reside.
The demand for Hadoop expands at a significant rate owing to increase in unstructured data from devices, such as computers, smart phones, traffic cameras, RFID readers, and others. Unstructured data is variable and heterogeneous in nature. The data may be in image, text, video, document, or any other format. In addition, it has the ability to process unstructured data that is more than 80% the global data. For instance, The New York Times articles produced between the years 1851 to 1922 with 11 million pages and 4TB of data, were converted to a Hadoop cluster on Amazon’s AWS, with low cost, using a single employee that did the work in just 24 hours. In addition, it can handle structured data and unstructured data in a data warehouse or relational database, which in turn allows the end user to make more precise decisions that are based on broad data. Thus, boosting the Hadoop market size.
[REGIONGRAPH]
Key Market Segments
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 (%)