The Hadoop Big Data Analytics Market size was USD 16.5 billion in 2022 and is expected to Reach USD 44.4 billion by 2030 and grow at a CAGR of 13.2 % over the forecast period of 2023-2030.
Hadoop big data analytics market is anticipated to grow quickly. Industry participants will progress toward innovation, growth, and productivity with the use of big data analytics. Hadoop is an open-source platform that enables massive data analytics and storage while utilizing straightforward programming techniques across distributed computer clusters. Big data is a vast collection of information that can be both organized and unstructured. Such information cannot be stored or processed by conventional systems due to its immense bulk. Additionally, it helps businesses comprehend the trend and facilitates corporate-level decision-making in real-time. This approach makes it possible to mine, analyse, and store data to achieve the main goal. It aids in updating business models and increasing profits for service providers. Due to the daily operations of the industries, the amount, diversity, and velocity of the information accumulate at a very fast rate. Organizations in this circumstance encounter numerous technical challenges when collecting, storing, analysing, and reporting data via connected and shared dashboards. High-quality data management systems and well-directed information flow are necessary for managing this data. Modern big data resolutions are required by businesses in order to collect, store, analyse, visualize, and predict the future using the data gleaned from vast amounts of information. The solutions segment dominated the Hadoop Big Data Analytics market in 2022 with a market share of 55%. This is due to the increasing demand for Hadoop-based solutions that can help businesses to process and analyze large amounts of data. Hadoop solutions are becoming more affordable and easier to use, which is making them more accessible to businesses of all sizes.
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KEY DRIVERS
The increasing volume of data
The growing demand for real-time analytics
The amount of data that is being generated is growing exponentially, and businesses are looking for ways to process and analyze this data. Hadoop is a scalable and distributed platform that can be used to process large amounts of data.
RESTRAIN
Competition and Market Saturation
Hadoop is a complex platform to learn and use. This can be a barrier for businesses that are not familiar with big data analytics.
OPPORTUNITY
Increasing Popularity of Predictive Analytics
The exponential growth of big data and analytics industries has fueled the rise of the Hadoop big data analytics market.
The rise of predictive analytics presents an opportunity for Hadoop big data analytics providers to offer integrated solutions that bridge the gap between data collection and insights. Predictive analytics can help organizations make data-driven decisions and improve business outcomes
CHALLENGES
The rise of alternative platforms
Big data analytics is complex and can be challenging to perform using traditional data analytics methods.
There are a number of alternative platforms to Hadoop, such as Spark and Hive. These platforms are becoming more popular, and they may pose a challenge to Hadoop in the future.
The Russian invasion of Ukraine has had a significant impact on the Hadoop Big Data Analytics market. The sanctions, supply chain disruptions, and security risks have made it more difficult for businesses to use Hadoop. This is likely to have a negative impact on the market. Financial services companies are using Hadoop to process large amounts of financial data. The war has made it more difficult for these companies to access the Hadoop solutions they need. Cloudera is a leading provider of Hadoop solutions. The company reported a 10% decline in revenue in the first quarter of 2023, which it attributed to the war in Ukraine. These companies have all been affected by the war in Ukraine in a number of ways. They have seen a decline in revenue, as businesses have become more cautious about investing in new technologies. They have also faced challenges in getting the hardware and software they need to deliver Hadoop solutions. And they have had to increase their security measures to protect their customers' data from cyberattacks.
IMPACT OF ONGOING RECESSION
The ongoing recession is expected to have a significant impact on the Hadoop Big Data Analytics market. but the recession could slow this growth by 2-3 percentage points. Small and medium-sized businesses (SMBs) are more likely to be affected by the recession than large enterprises. SMBs may not have the resources to invest in new technologies during a recession, which could impact the demand for Hadoop Big Data Analytics solutions. Cloudera is a leading provider of Hadoop Big Data Analytics solutions. The company is expected to see a decline in revenue of 15-20% during the recession. The companies that are able to adapt to the changing market conditions are likely to emerge stronger from the recession. These companies will need to focus on developing more affordable solutions, offering more flexible pricing options, and partnering with other companies to offer joint solutions.
By Component
Hardware
Software
Services
By Deployment Model
On-premise
Cloud
Hybrid
By Enterprise Size
Large Enterprises
SMEs
By End-User
Government
Manufacturing
Transportation and Logistics
Education
Retail
Hospitality
Healthcare
Others
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North America
USA
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSIS
North America dominates the Hadoop big data analytics market with a market share of 40% in 2023. Due to the North American region has been a significant hub for technology innovation, including Hadoop-based Big Data Analytics. Leading technology companies like Cloudera, Hortonworks, MapR, and IBM have been prominent players in the North American market. These companies provide Hadoop-based solutions and related services. Hadoop Big Data Analytics solutions have been widely adopted across various industries in North America, including finance, healthcare, retail, and more. These solutions help businesses manage and derive insights from large datasets. As data privacy concerns and regulations have gained prominence, companies in North America have focused on ensuring the security and compliance of their Big Data Analytics processes.
The Asia Pacific market is expected to grow at a CAGR of 27.41% from 2023 to 2032. The Asia Pacific region has shown increasing interest in Big Data Analytics, including Hadoop-based solutions, driven by digital transformation efforts and the proliferation of data. Countries like India, China, Australia, and Japan have been actively adopting Hadoop-based solutions to handle their growing data volumes and extract meaningful insights. While global technology companies are present in the Asia Pacific market, there are also local players offering Hadoop-based solutions tailored to the specific needs of the region. Several countries in the Asia Pacific region have embarked on data-intensive initiatives, such as smart cities and digital transformation projects, which drive the demand for advanced analytics capabilities.
The major players in the Hadoop Big Data Analytics Market are Cloudera Inc., Hortonworks, Inc., Hadapt, Inc., Amazon Web Services LLC, Outerthought, MapR Technologies, Inc., Platform Computing, Karmasphere, Inc., Greenplum, Inc., Hstreaming LLC, Pentaho Corporation and Zettaset, Inc., and other players.
AWS: In March 8, 2023, AWS announced the general availability of Amazon Managed Hadoop for EMR on Outposts, which allows customers to run Hadoop on their own on-premises hardware that is connected to AWS Outposts. This offering provides customers with the flexibility of running Hadoop on their own hardware while also taking advantage of the scalability and availability of AWS.
Outerthought: In February 22, 2023, Outerthought announced the release of Outerthought Data Lake Platform 4.0, which includes a number of new features and enhancements for Hadoop users. These features include support for Apache Spark 3.2, improved performance for Hive queries, and a new user interface for managing Hadoop clusters.
| Report Attributes | Details |
| Market Size in 2022 | US$ 16.5 Bn |
| Market Size by 2030 | US$ 44.4 Bn |
| CAGR | CAGR of 13.2 % From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Hardware, Software, Services) • By Deployment Model (On-premise, Cloud, Hybrid) • By Enterprise Size (Large Enterprises, SMEs) • By End User (Government, Manufacturing, Transportation and Logistics, Education, Retail, Hospitality, Healthcare, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Cloudera Inc., Hortonworks, Inc., Hadapt, Inc., Amazon Web Services LLC, Outerthought, MapR Technologies, Inc., Platform Computing, Karmasphere, Inc., Greenplum, Inc., Hstreaming LLC, Pentaho Corporation and Zettaset, Inc. |
| Key Drivers | • The increasing volume of data • The growing demand for real-time analytics |
| Market Restraints | • Competition and Market Saturation |
Ans. The Compound Annual Growth rate for Hadoop Big Data Analytics Market over the forecast period is 13.2 %.
Ans. USD 44.4 Billion is the Company's projected Hadoop Big Data Analytics Market size by 2030.
Ans. Hadoop is an open-source framework used to efficiently store and process large datasets in parallel across multiple computers. It is important in big data analytics because it allows organizations to store and process huge amounts of data quickly, provides flexibility in handling unstructured data, and offers scalability and low-cost storage options.
Ans. The trending technologies and tools in the Hadoop ecosystem include Apache Spark, NoSQL databases, R software, predictive analytics, and prescriptive analytics.
Ans. Challenges in implementing Hadoop big data analytics solutions can include, Data quality and veracity, ensuring accurate and consistent data.Security concerns and data protection.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Hadoop Big Data Analytics Market Segmentation, by Component
8.1 Hardware
8.2 Software
8.3 Services
9. Hadoop Big Data Analytics Market Segmentation, by Deployment Model
9.1 On-premise
9.2 Cloud
9.3 Hybrid
10. Hadoop Big Data Analytics Market Segmentation, by Enterprise Size
10.1 Large Enterprises
10.2 SMEs
11. Hadoop Big Data Analytics Market Segmentation, by End-User
11.1 Government
11.2 Manufacturing
11.3 Transportation and Logistics
11.4 Education
11.5 Retail
11.6 Hospitality
11.7 Healthcare
11.8 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Hadoop Big Data Analytics Market by Country
12.2.2North America Hadoop Big Data Analytics Market by Component
12.2.3 North America Hadoop Big Data Analytics Market by Deployment Model
12.2.4 North America Hadoop Big Data Analytics Market by Enterprise Size
12.2.5 North America Hadoop Big Data Analytics Market by End-User
12.2.6 USA
12.2.6.1 USA Hadoop Big Data Analytics Market by Component
12.2.6.2 USA Hadoop Big Data Analytics Market by Deployment Model
12.2.6.3 USA Hadoop Big Data Analytics Market by Enterprise Size
12.2.6.4 USA Hadoop Big Data Analytics Market by End-User
12.2.7 Canada
12.2.7.1 Canada Hadoop Big Data Analytics Market by Component
12.2.7.2 Canada Hadoop Big Data Analytics Market by Deployment Model
12.2.7.3 Canada Hadoop Big Data Analytics Market by Enterprise Size
12.2.7.4 Canada Hadoop Big Data Analytics Market by End-User
12.2.8 Mexico
12.2.8.1 Mexico Hadoop Big Data Analytics Market by Component
12.2.8.2 Mexico Hadoop Big Data Analytics Market by Deployment Model
12.2.8.3 Mexico Hadoop Big Data Analytics Market by Enterprise Size
12.2.8.4 Mexico Hadoop Big Data Analytics Market by End-User
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Hadoop Big Data Analytics Market by Country
12.3.1.2 Eastern Europe Hadoop Big Data Analytics Market by Component
12.3.1.3 Eastern Europe Hadoop Big Data Analytics Market by Deployment Model
12.3.1.4 Eastern Europe Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.5 Eastern Europe Hadoop Big Data Analytics Market by End-User
12.3.1.6 Poland
12.3.1.6.1 Poland Hadoop Big Data Analytics Market by Component
12.3.1.6.2 Poland Hadoop Big Data Analytics Market by Deployment Model
12.3.1.6.3 Poland Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.6.4 Poland Hadoop Big Data Analytics Market by End-User
12.3.1.7 Romania
12.3.1.7.1 Romania Hadoop Big Data Analytics Market by Component
12.3.1.7.2 Romania Hadoop Big Data Analytics Market by Deployment Model
12.3.1.7.3 Romania Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.7.4 Romania Hadoop Big Data Analytics Market by End-User
12.3.1.8 Hungary
12.3.1.8.1 Hungary Hadoop Big Data Analytics Market by Component
12.3.1.8.2 Hungary Hadoop Big Data Analytics Market by Deployment Model
12.3.1.8.3 Hungary Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.8.4 Hungary Hadoop Big Data Analytics Market by End-User
12.3.1.9 Turkey
12.3.1.9.1 Turkey Hadoop Big Data Analytics Market by Component
12.3.1.9.2 Turkey Hadoop Big Data Analytics Market by Deployment Model
12.3.1.9.3 Turkey Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.9.4 Turkey Hadoop Big Data Analytics Market by End-User
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Hadoop Big Data Analytics Market by Component
12.3.1.10.2 Rest of Eastern Europe Hadoop Big Data Analytics Market by Deployment Model
12.3.1.10.3 Rest of Eastern Europe Hadoop Big Data Analytics Market by Enterprise Size
12.3.1.10.4 Rest of Eastern Europe Hadoop Big Data Analytics Market by End-User
12.3.2 Western Europe
12.3.2.1 Western Europe Hadoop Big Data Analytics Market by Country
12.3.2.2 Western Europe Hadoop Big Data Analytics Market by Component
12.3.2.3 Western Europe Hadoop Big Data Analytics Market by Deployment Model
12.3.2.4 Western Europe Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.5 Western Europe Hadoop Big Data Analytics Market by End-User
12.3.2.6 Germany
12.3.2.6.1 Germany Hadoop Big Data Analytics Market by Component
12.3.2.6.2 Germany Hadoop Big Data Analytics Market by Deployment Model
12.3.2.6.3 Germany Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.6.4 Germany Hadoop Big Data Analytics Market by End-User
12.3.2.7 France
12.3.2.7.1 France Hadoop Big Data Analytics Market by Component
12.3.2.7.2 France Hadoop Big Data Analytics Market by Deployment Model
12.3.2.7.3 France Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.7.4 France Hadoop Big Data Analytics Market by End-User
12.3.2.8 UK
12.3.2.8.1 UK Hadoop Big Data Analytics Market by Component
12.3.2.8.2 UK Hadoop Big Data Analytics Market by Deployment Model
12.3.2.8.3 UK Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.8.4 UK Hadoop Big Data Analytics Market by End-User
12.3.2.9 Italy
12.3.2.9.1 Italy Hadoop Big Data Analytics Market by Component
12.3.2.9.2 Italy Hadoop Big Data Analytics Market by Deployment Model
12.3.2.9.3 Italy Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.9.4 Italy Hadoop Big Data Analytics Market by End-User
12.3.2.10 Spain
12.3.2.10.1 Spain Hadoop Big Data Analytics Market by Component
12.3.2.10.2 Spain Hadoop Big Data Analytics Market by Deployment Model
12.3.2.10.3 Spain Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.10.4 Spain Hadoop Big Data Analytics Market by End-User
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Hadoop Big Data Analytics Market by Component
12.3.2.11.2 Netherlands Hadoop Big Data Analytics Market by Deployment Model
12.3.2.11.3 Netherlands Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.11.4 Netherlands Hadoop Big Data Analytics Market by End-User
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Hadoop Big Data Analytics Market by Component
12.3.2.12.2 Switzerland Hadoop Big Data Analytics Market by Deployment Model
12.3.2.12.3 Switzerland Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.12.4 Switzerland Hadoop Big Data Analytics Market by End-User
12.3.2.13 Austria
12.3.2.13.1 Austria Hadoop Big Data Analytics Market by Component
12.3.2.13.2 Austria Hadoop Big Data Analytics Market by Deployment Model
12.3.2.13.3 Austria Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.13.4 Austria Hadoop Big Data Analytics Market by End-User
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Hadoop Big Data Analytics Market by Component
12.3.2.14.2 Rest of Western Europe Hadoop Big Data Analytics Market by Deployment Model
12.3.2.14.3 Rest of Western Europe Hadoop Big Data Analytics Market by Enterprise Size
12.3.2.14.4 Rest of Western Europe Hadoop Big Data Analytics Market by End-User
12.4 Asia-Pacific
12.4.1 Asia Pacific Hadoop Big Data Analytics Market by Country
12.4.2 Asia Pacific Hadoop Big Data Analytics Market by Component
12.4.3 Asia Pacific Hadoop Big Data Analytics Market by Deployment Model
12.4.4 Asia Pacific Hadoop Big Data Analytics Market by Enterprise Size
12.4.5 Asia Pacific Hadoop Big Data Analytics Market by End-User
12.4.6 China
12.4.6.1 China Hadoop Big Data Analytics Market by Component
12.4.6.2 China Hadoop Big Data Analytics Market by Deployment Model
12.4.6.3 China Hadoop Big Data Analytics Market by Enterprise Size
12.4.6.4 China Hadoop Big Data Analytics Market by End-User
12.4.7 India
12.4.7.1 India Hadoop Big Data Analytics Market by Component
12.4.7.2 India Hadoop Big Data Analytics Market by Deployment Model
12.4.7.3 India Hadoop Big Data Analytics Market by Enterprise Size
12.4.7.4 India Hadoop Big Data Analytics Market by End-User
12.4.8 Japan
12.4.8.1 Japan Hadoop Big Data Analytics Market by Component
12.4.8.2 Japan Hadoop Big Data Analytics Market by Deployment Model
12.4.8.3 Japan Hadoop Big Data Analytics Market by Enterprise Size
12.4.8.4 Japan Hadoop Big Data Analytics Market by End-User
12.4.9 South Korea
12.4.9.1 South Korea Hadoop Big Data Analytics Market by Component
12.4.9.2 South Korea Hadoop Big Data Analytics Market by Deployment Model
12.4.9.3 South Korea Hadoop Big Data Analytics Market by Enterprise Size
12.4.9.4 South Korea Hadoop Big Data Analytics Market by End-User
12.4.10 Vietnam
12.4.10.1 Vietnam Hadoop Big Data Analytics Market by Component
12.4.10.2 Vietnam Hadoop Big Data Analytics Market by Deployment Model
12.4.10.3 Vietnam Hadoop Big Data Analytics Market by Enterprise Size
12.4.10.4 Vietnam Hadoop Big Data Analytics Market by End-User
12.4.11 Singapore
12.4.11.1 Singapore Hadoop Big Data Analytics Market by Component
12.4.11.2 Singapore Hadoop Big Data Analytics Market by Deployment Model
12.4.11.3 Singapore Hadoop Big Data Analytics Market by Enterprise Size
12.4.11.4 Singapore Hadoop Big Data Analytics Market by End-User
12.4.12 Australia
12.4.12.1 Australia Hadoop Big Data Analytics Market by Component
12.4.12.2 Australia Hadoop Big Data Analytics Market by Deployment Model
12.4.12.3 Australia Hadoop Big Data Analytics Market by Enterprise Size
12.4.12.4 Australia Hadoop Big Data Analytics Market by End-User
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Hadoop Big Data Analytics Market by Component
12.4.13.2 Rest of Asia-Pacific APAC Hadoop Big Data Analytics Market by Deployment Model
12.4.13.3 Rest of Asia-Pacific Hadoop Big Data Analytics Market by Enterprise Size
12.4.13.4 Rest of Asia-Pacific Hadoop Big Data Analytics Market by End-User
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Hadoop Big Data Analytics Market by Country
12.5.1.2 Middle East Hadoop Big Data Analytics Market by Component
12.5.1.3 Middle East Hadoop Big Data Analytics Market by Deployment Model
12.5.1.4 Middle East Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.5 Middle East Hadoop Big Data Analytics Market by End-User
12.5.1.6 UAE
12.5.1.6.1 UAE Hadoop Big Data Analytics Market by Component
12.5.1.6.2 UAE Hadoop Big Data Analytics Market by Deployment Model
12.5.1.6.3 UAE Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.6.4 UAE Hadoop Big Data Analytics Market by End-User
12.5.1.7 Egypt
12.5.1.7.1 Egypt Hadoop Big Data Analytics Market by Component
12.5.1.7.2 Egypt Hadoop Big Data Analytics Market by Deployment Model
12.5.1.7.3 Egypt Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.7.4 Egypt Hadoop Big Data Analytics Market by End-User
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Hadoop Big Data Analytics Market by Component
12.5.1.8.2 Saudi Arabia Hadoop Big Data Analytics Market by Deployment Model
12.5.1.8.3 Saudi Arabia Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.8.4 Saudi Arabia Hadoop Big Data Analytics Market by End-User
12.5.1.9 Qatar
12.5.1.9.1 Qatar Hadoop Big Data Analytics Market by Component
12.5.1.9.2 Qatar Hadoop Big Data Analytics Market by Deployment Model
12.5.1.9.3 Qatar Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.9.4 Qatar Hadoop Big Data Analytics Market by End-User
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Hadoop Big Data Analytics Market by Component
12.5.1.10.2 Rest of Middle East Hadoop Big Data Analytics Market by Deployment Model
12.5.1.10.3 Rest of Middle East Hadoop Big Data Analytics Market by Enterprise Size
12.5.1.10.4 Rest of Middle East Hadoop Big Data Analytics Market by End-User
12.5.2. Africa
12.5.2.1 Africa Hadoop Big Data Analytics Market by Country
12.5.2.2 Africa Hadoop Big Data Analytics Market by Component
12.5.2.3 Africa Hadoop Big Data Analytics Market by Deployment Model
12.5.2.4 Africa Hadoop Big Data Analytics Market by Enterprise Size
12.5.2.5 Africa Hadoop Big Data Analytics Market by End-User
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Hadoop Big Data Analytics Market by Component
12.5.2.6.2 Nigeria Hadoop Big Data Analytics Market by Deployment Model
12.5.2.6.3 Nigeria Hadoop Big Data Analytics Market by Enterprise Size
12.5.2.6.4 Nigeria Hadoop Big Data Analytics Market by End-User
12.5.2.7 South Africa
12.5.2.7.1 South Africa Hadoop Big Data Analytics Market by Component
12.5.2.7.2 South Africa Hadoop Big Data Analytics Market by Deployment Model
12.5.2.7.3 South Africa Hadoop Big Data Analytics Market by Enterprise Size
12.5.2.7.4 South Africa Hadoop Big Data Analytics Market by End-User
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Hadoop Big Data Analytics Market by Component
12.5.2.8.2 Rest of Africa Hadoop Big Data Analytics Market by Deployment Model
12.5.2.8.3 Rest of Africa Hadoop Big Data Analytics Market by Enterprise Size
12.5.2.8.4 Rest of Africa Hadoop Big Data Analytics Market by End-User
12.6. Latin America
12.6.1 Latin America Hadoop Big Data Analytics Market by Country
12.6.2 Latin America Hadoop Big Data Analytics Market by Component
12.6.3 Latin America Hadoop Big Data Analytics Market by Deployment Model
12.6.4 Latin America Hadoop Big Data Analytics Market by Enterprise Size
12.6.5 Latin America Hadoop Big Data Analytics Market by End-User
12.6.6 Brazil
12.6.6.1 Brazil Hadoop Big Data Analytics Market by Component
12.6.6.2 Brazil Africa Hadoop Big Data Analytics Market by Deployment Model
12.6.6.3 Brazil Hadoop Big Data Analytics Market by Enterprise Size
12.6.6.4 Brazil Hadoop Big Data Analytics Market by End-User
12.6.7 Argentina
12.6.7.1 Argentina Hadoop Big Data Analytics Market by Component
12.6.7.2 Argentina Hadoop Big Data Analytics Market by Deployment Model
12.6.7.3 Argentina Hadoop Big Data Analytics Market by Enterprise Size
12.6.7.4 Argentina Hadoop Big Data Analytics Market by End-User
12.6.8 Colombia
12.6.8.1 Colombia Hadoop Big Data Analytics Market by Component
12.6.8.2 Colombia Hadoop Big Data Analytics Market by Deployment Model
12.6.8.3 Colombia Hadoop Big Data Analytics Market by Enterprise Size
12.6.8.4 Colombia Hadoop Big Data Analytics Market by End-User
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Hadoop Big Data Analytics Market by Component
12.6.9.2 Rest of Latin America Hadoop Big Data Analytics Market by Deployment Model
12.6.9.3 Rest of Latin America Hadoop Big Data Analytics Market by Enterprise Size
12.6.9.4 Rest of Latin America Hadoop Big Data Analytics Market by End-User
13 Company Profile
13.1 Cloudera Inc.
13.1.1 Company Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Hortonworks, Inc.
13.2.1 Company Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Hadapt, Inc.
13.3.1 Company Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Amazon Web Services LLC
13.4.1 Company Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Outerthought
13.5.1 Company Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 MapR Technologies Inc.
13.6.1 Company Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Platform Computing
13.7.1 Company Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Karmasphere, Inc.
13.8.1 Company Overview
13.8.2 Financial
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Greenplum, Inc.
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Hstreaming LLC
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Company Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions
14. USE Cases and Best Practices
15. Conclusion
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Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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