Global Hadoop Big Data Analytics Market, By Component (Solution, Service,), Application (Risk and Fraud Analytics, Internet of Things (IoT), Customer Analytics, Security Intelligence, Distributed Coordination Service, Merchandising and Supply Chain Analytics, Offloading Mainframe Application, Operational Intelligence, Linguistic Analytics), Vertical (BFSI, Government and Defence, Healthcare and Life Sciences, Manufacturing, Retail and Consumer Goods, Media and Entertainment, Energy and Utility, Transportation and SCM, IT and Telecommunication, Academia and Research, Others), Deployment Model (On Premise, Cloud and Hybrid), Enterprise Size (Large Enterprise, Small Enterprise and Medium Enterprise) – Industry Trends and Forecast to 2030.
Hadoop Big Data Analytics Market Analysis and Size
Hadoop is an open-source framework that allows big data storage and analytics, it also uses simple programming models around distributed computer groups. Big data is a huge volume of data that can be structured and unstructured, it cannot be stored and processed by conventional systems. Furthermore, it helps the organizations to comprehend the trend and aid in real-time corporate-level decision-making.
Data Bridge Market Research analyses that the hadoop big data analytics market which was USD 9.11 billion in 2022, would rocket up to USD 36.22 billion by 2030, and is expected to undergo a CAGR of 18.83% during the forecast period. This indicates that the market value. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
Hadoop Big Data Analytics Market Scope and Segmentation
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021(Customizable to 2015-2020)
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Quantitative Units
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Revenue in USD Billion, Volumes in Units, Pricing in USD
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Segments Covered
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Component (Solution, Service, Application (Risk and Fraud Analytics, Internet of Things (IoT), Customer Analytics, Security Intelligence, Distributed Coordination Service, Merchandising and Supply Chain Analytics, Offloading Mainframe Application, Operational Intelligence, Linguistic Analytics), Vertical (BFSI, Government and Defence, Healthcare and Life Sciences, Manufacturing, Retail and Consumer Goods, Media and Entertainment, Energy and Utility, Transportation and SCM, IT and Telecommunication, Academia and Research, Others ), Deployment Model (On Premise, Cloud and Hybrid), Enterprise Size (Large Enterprise, Small Enterprise and Medium Enterprise)
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Countries Covered
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U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
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Market Players Covered
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Cisco Systems, Inc.(U.S), SAP (Germany), Amazon Web Services, Inc (U.S), Hitachi, Ltd (Japan), SAS Institute Inc (U.S), Hewlett Packard Enterprise Development LP (U.S.), MongoDB, Inc (U.S.), Oracle (U.S.), Datameer, Inc (U.S.), IBM (America), Microsoft (America), Cloudera, Inc (America), Intel Corporation(America), TABLEAU SOFTWARE, LLC (U.S.), Teradata (U.S.), New Relic, Inc (U.S.), Alation, Inc (U.S.), Splunk Inc (U.S.) Striim, (U.S)
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Market Opportunities
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Market Definition
Hadoop is a Java-based programming structure, it is utilized for processing and storage of large data in a different computing environment. It is a distributed processing technology that provides high data storage performance and can handle thousands of data, rapid data transfer, and many other things. Hadoop is majorly utilized in big data analytics such as scientific analytics, business, and sales development. It also produces extensive volumes of data processing.
Hadoop Big Data Analytics Market Dynamics
Drivers
- Acceptant of IT solutions by the financial industry
The growing acceptance of information technology solutions for better banking services has led to a craze of online transactions. Growing acceptance of technologies such as national electronic fund transfer (NEFT), real-time gross settlement systems (RTGS), electronic clearing service (ECS), and mobile transactions are rapidly growing. For instance, the reserve bank of India says that during 2015-2016, 16,468 cyber terrorism-related ATM, debit card, credit card, and net banking frauds were reported. This shows the growing number of cyber frauds over the years, which is driving the market growth of hadoop and big data analytics solutions in the banking and finance industry.
- COVID-19 Impact on the market of hadoop
The adoption of hadoop has increased due to the COVID-19 pandemic which affected the human's daily routine, pandemic makes people use digital technology. Which rise the demand for digital alteration across different industries. As a resulting rise in demand for hadoop software amongst several small enterprise and large enterprises for analyzing large volumes of data for fast data processing, which boost the market of hadoop.
Opportunities
- Low cost create opportunity
Hadoop is a cost-effective stage for big data because it runs on commodity servers with attached storage, which is a low cost than a dedicated storage area network. Hadoop is very scalable, which is significant because big data programs tend to get bigger as users gain experience and business value. Hadoop not only makes it cost-effective but also decreases the maintenance cost of an existing enterprise data warehouse, this creates an opportunity for the hadoop market to grow.
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Real-time information tracker
Hadoop big data analytics is serving governments and public agencies involved in healthcare, law application, and transport sectors in understanding the condition and evolution for making appropriate results. Real-time trackers are playing a key role in gathering data from several sources across the world. This real-time data is helping healthcare workers, scientists, epidemiologists, and policymakers aggregate and synthesize incident data on a global basis. The GPS analyses of population movement based on region and city, which create an opportunity for hadoop market to grow
Restraints/Challenges
- Data privacy problems
Legal worries and data privacy problems of misuse of data can have serious legal penalties for both organizations and customers. Businesses should clearly state sections related to data usage, process, and retention in their project contracts to ensure that no data usage violates government laws. The risk of identity theft grows whenever entities collect profile data, especially if the information is not maintained securely. This data can get conceded by snoopers, if brands create strategies around this inaccurate data, it can lead to serious complications for all users involved, which can restrain the market of hadoop big data analytics.
- Lack of awareness in developing countries
Data analytics is a skilled full job where higher education is needed in IT sectors, one should have proper knowledge about hadoop data analysis but in developing countries, education in it field is comparatively low. Where people in developing countries are not much aware of the education of IT sector and the high use of the IT sector in the present era which is creating obligations in the growth of handoop big data analytics
This hadoop big data analytics market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the hadoop big data analytics market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Development
- In June 2020, HPE launched HPE Ezmeral, is a new software portfolio and trademark that will fast-track data-driven transformation crosswise organizations. HPE Ezmeral delivers a complete portfolio, with container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security.
- In April 2020, IBM free novel AI-powered technologies to aid the Health and Research Community in accelerating the discovery of medical insights and treatments for COVID-19..
Global Hadoop Big Data Analytics Market Scope
The hadoop big data analytics market is segmented on the basis of component, application, vertical, deployment model, enterprise size. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
- Solution
- Data Discovery and Visualization (DDV)
- Advanced Analytics (AA)
- Service
- Managed Services
- Professional Service
- Deployment and Integration
- Support and Maintenance
- Consulting
Application
- Risk and Fraud Analytics
- Internet of Things (IoT)
- Customer Analytics
- Security Intelligence
- Distributed Coordination Service
- Merchandising and Supply Chain Analytics
- Offloading Mainframe Application
- Operational Intelligence
- Linguistic Analytics
- Marketing and Sales
- Operations
- Finance
- Human Resources
Vertical
- BFSI
- Government and Defence
- Healthcare and Life Sciences
- Manufacturing
- Retail and Consumer Goods
- Media and Entertainment
- Energy and Utility
- Transportation and SCM
- IT and Telecommunication
- Academia and Research
- Others
Deployment Model
- On Premise
- Cloud
- Hybrid
Enterprise Size
- Large Enterprise
- Small Enterprise and Medium Enterprise
Hadoop Big Data Analytics Market Regional Analysis/Insights
The hadoop big data analytics market is analysed and market size insights and trends are provided by component, application, vertical, deployment model, enterprise size as referenced above.
The countries covered in the hadoop big data analytics market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the hadoop big data analytics market because of rise in the volume of data. The advancement in the AI and big data technologies will further increase the development of the hadoop big data analytics market in the region during the forecast period
Asia Pacific is expected to decent rise in hadoop big data analytics market due to the effort on improving the organisation of data to enable data-based business results. Furthermore, the rise in the industrialization and urbanization is further expected to propel the growth of the hadoop big data analytics market in the region in the coming years.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Hadoop Big Data Analytics Market Share Analysis
The hadoop big data analytics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to hadoop big data analytics market.
Some of the major players operating in the hadoop big data analytics market are:
- Cisco Systems, Inc.(U.S)
- SAP (Germany)
- Amazon Web Services, Inc (U.S)
- Hitachi, Ltd (Japan)
- SAS Institute Inc (U.S)
- Hewlett Packard Enterprise Development LP (U.S.)
- MongoDB, Inc (U.S.)
- Oracle (U.S.)
- Datameer, Inc (U.S.)
- IBM (America)
- Microsoft (America)
- Cloudera, Inc (America)
- Intel Corporation (America)
- TABLEAU SOFTWARE, LLC (U.S.)
- Teradata (U.S.)
- New Relic, Inc (U.S.)
- Alation, Inc (U.S.)
- Splunk Inc (U.S.)
- Striim, (U.S)
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