Big Data Enterprise Market - Forecast(2021 - 2026)

Report Code: ITR 0126 Report Format: PDF + Excel (Delivery in 48 Hrs)
Big Data Enterprise market size was valued at $43.86 billion in 2019, and it is estimated to grow at a CAGR of 10.52% during 2020-2025. The growth is mainly attributed to the adoption of advanced technologies such as IoT, data silos, relational database management solutions and edge computing in enterprises has been pushing the big data enterprise industry. Many new enterprises are focusing on adoption of big data as data driven strategy and to compete with other companies. Growing complexity in IT sector with huge data is further set to propel the Big Data Enterprise market growth during forecast period.

Report Coverage
The report: “Big Data Enterprise Industry Outlook - Forecast (2020-2025)”, by IndustryARC, covers an in-depth analysis of the following segments of the Big Data Enterprise Market Report. 

By Deployment: On-Premise, Cloud, Hybrid
By Characterization: Internal Data, External Data
By Management: Data Collection, Data Synthesis, Knowledge Management, Actionable Insight
By Application: E-Health, Transport and Logistics, Government Monitoring, Electronics, Aviation, Automotive, Social Network and Others
By Storage: Apache Hadoop, Microsoft HDInsight, NoSQL, JAQL, Hive, Sqoop, Presto
By Geography: North America (U.S., Canada and Mexico); South America (Brazil, Argentina, Rest of Americas); Europe (U.K., Germany, Italy, France, Rest of Europe); APAC (China, Japan, South Korea, India, Rest of Europe); RoW (Middle East & Africa)

Key Takeaways
  • North America dominated the Big Data Enterprise market in term of revenue in 2019 owing to the early adoption of advanced technologies and presence of major number of players.
  • Adoption of IoT technology has been pushing the Big Data Enterprise industry with as connected sensors generate huge data which requires big data.
  • Deployment of cloud based solution owing to its increased data security and cost efficiency enhancing the big data enterprise market growth.
  • Increasing application of big data in E-Health sector owing to global pandemic disease is poised to provide opportunities for enterprise big data.

Deployment Type - Segment Analysis
Cloud based deployment held the major share of 38.85% in 2019. Most vendors adopt cloud based deployment as this solution assist in maximizing profits and automating the equipment maintenance process, effectively. The adoption of cloud-based big data solutions owing to benefits such as easy maintenance of generated data, agility, scalability, cost-effectiveness, flexibility, scalability, and effective management of these solutions. By cloud deployment, enterprises are able to derive better analysis from the large amounts of structured and unstructured data. This is poised to drive the big data enterprise market.

Application - Segment Analysis
E-Health is the fastest growing segment in Big Data Enterprise market and estimated to grow at a CAGR of 11.45% during forecast period 2020-2025. In E-Health segment, big data is used for analyzing and management of huge amounts of health data. In the healthcare sector, the amount of patient and consumer health data has grown exponentially because of new computer-based information systems and global pandemic diseases. In recent years, the adoption of wearable technology, biosensors has increased the amount of biological data being captured. These data include electronic patient records outcomes (ePRO), electronic health records (EHR) and various other software sources. This increases the demand for big data in E-Health sector during forecast period.

Geography- Segment Analysis
North America dominated the Big Data Enterprise market in 2019 with a market share of 36.15%, followed by Europe and APAC owing to the early adoption of advanced technologies. Additionally, the presence of majority of Big Data Enterprise vendors such as Microsoft Corporation, Oracle Corporation, and IBM Corporation are headquartered at U.S. and this increases the market growth. This is attributed to increasing volumes and importance of data in an organization. The high growth rate can be majorly attributed to high adoption of IoT devices by various enterprises in this region. Enterprises, mainly in the U.S., have started using big data solutions to generate data insights for making strategic business decisions and remaining competitive in the market .High investments in adoption of big data is set to drive the market in this region.

Drivers –Big Data Enterprise Market
  • Increasing adoption of big data in enterprises
There has been increase in adoption of big data in enterprises owing to benefits such as cost cut down, high efficiency, increasing sales and loyalty and others. Big data technologies such as Hadoop and cloud based analytics provide significant cost benefits for storing large amounts of data and also assist in identifying more efficient ways of doing business. Big data also assist companies in predicting future situations by descriptive analytics, predictive analytics and prescriptive analytics. This features drive the demand for enterprise big data.

  • Integration of advanced technologies such as IoT and others
Implementation of Internet of Things (IoT) in enterprises has been fueling the market growth. As IoT deals with connected objects, sensors and internet applicable things which generate huge volumes of data, there is high demand for big data in enterprises. Adoption of big data assists enterprises in analyzing IoT generated data which is unstructured data. This further help enterprises in gaining insights from data which improves decision making. As big data is a shared and distributed database, there can be huge quantity of data can be filed in big data file storage systems thereby driving the market.

Challenges – Big Data Enterprise Market
  • Data Security is the major challenge for enterprises
Data Security is the major problem that the enterprises face a major issue and this hampers the growth of the market. As the data that comes into enterprises is made available from a wide range of sources, some of which cannot be trusted to be secure and compliant within organizational standards, there is data security problem in enterprises. Enterprises need to use a variety of data collection strategies to keep up with data needs. This in turn leads to inconsistencies in the data, and then the outcomes of the analysis which set restrict the market growth.

Market Landscape
Technology launches, Acquisitions, and R&D activities are key strategies adopted by players in the Big Data Enterprise market. Big Data Enterprise top 10 companies include IBM, Oracle, SAP, Google, Dell Technologies, Teradata, SAS, Salesforce, HPE, Amazon and others.

Acquisitions/Technology Launches
  • In November 2019, Amazon had launched cloud based Amazon Web Services (AWS) Data Exchange. This software assists enterprises in eliminating the need to build and maintain infrastructure for storage, delivery, billing and entitling. Introduction of advanced software is set to increase the big data enterprise market share.
  • In March 2018, IBM had launched cloud private data which is developed to assist organizations or enterprises in utilizing data science and machine learning methods to generate insights from data. This is poised to increase the Company’s big data enterprise market share.

1. Big Data Enterprise Market - Overview
1.1. Definitions and Scope
2. Big Data Enterprise Market - Executive summary
2.1. Market Revenue, Market Size and Key Trends by Company
2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography
3. Big Data Enterprise Market 
3.1. Comparative analysis
3.1.1. Product Benchmarking - Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis - Top 10 companies
3.1.5. Pricing Analysis 
4. Big Data Enterprise Market – Startup companies Scenario Premium
4.1. Top 10 startup company Analysis by
4.1.1. Investment
4.1.2. Revenue
4.1.3. Market Shares
4.1.4. Market Size and Application Analysis
4.1.5. Venture Capital and Funding Scenario
5. Big Data Enterprise Market – Industry Market Entry Scenario Premium
5.1. Regulatory Framework Overview
5.2. New Business and Ease of Doing business index
5.3. Case studies of successful ventures
5.4. Customer Analysis – Top 10 companies
6. Big Data Enterprise Market Forces
6.1. Drivers
6.2. Constraints
6.3. Challenges
6.4. Porters five force model
6.4.1. Bargaining power of suppliers
6.4.2. Bargaining powers of customers
6.4.3. Threat of new entrants
6.4.4. Rivalry among existing players
6.4.5. Threat of substitutes 
7. Big Data Enterprise Market -Strategic analysis
7.1. Value chain analysis
7.2. Opportunities analysis
7.3. Product life cycle
7.4. Suppliers and distributors Market Share
8. Big Data Enterprise Market – By Deployment (Market Size -$Million / $Billion)
8.1. Market Size and Market Share Analysis 
8.2. Application Revenue and Trend Research
8.3. Product Segment Analysis
8.3.1. Introduction
8.3.2. On Premise
8.3.3. On Cloud
8.3.4. Hybrid
9. Big Data Enterprise Market – By Characterization (Market Size -$Million / $Billion)
9.1. Introduction
9.2. Internal Data (Enterprise application Data)
9.3. External Data (Web Data)
10. Big Data Enterprise Market – By Management (Market Size -$Million / $Billion)
10.1. Introduction
10.2. Data Collection
10.3. Data Synthesis
10.4. Knowledge Management
10.5. Actionable Insight
11. Big Data Enterprise Market – By Application (Market Size -$Million / $Billion)
11.1. E-health
11.2. Transportation and Logistics
11.3. Government monitoring
11.4. Electronics
11.5. Aviation
11.6. Automotive
11.7. Social Network
12. Big Data Enterprise Market – By Storage (Market Size -$Million / $Billion)
12.1. Apache Hadoop
12.2. Microsoft HDInsight
12.3. NoSQL
12.4. JAQL
12.5. Hive
12.6. Sqoop
12.7. Presto
13. Big Data Enterprise - By Geography (Market Size -$Million / $Billion)
13.1. Big Data Enterprise Market - North America Segment Research
13.2. North America Market Research (Million / $Billion)
13.2.1. Segment type Size and Market Size Analysis 
13.2.2. Revenue and Trends
13.2.3. Application Revenue and Trends by type of Application
13.2.4. Company Revenue and Product Analysis
13.2.5. North America Product type and Application Market Size U.S. Canada Mexico Rest of North America
13.3. Big Data Enterprise - South America Segment Research
13.4. South America Market Research (Market Size -$Million / $Billion)
13.4.1. Segment type Size and Market Size Analysis 
13.4.2. Revenue and Trends
13.4.3. Application Revenue and Trends by type of Application
13.4.4. Company Revenue and Product Analysis
13.4.5. South America Product type and Application Market Size Brazil Venezuela Argentina Ecuador Peru Colombia Costa Rica Rest of South America
13.5. Big Data Enterprise - Europe Segment Research
13.6. Europe Market Research (Market Size -$Million / $Billion)
13.6.1. Segment type Size and Market Size Analysis 
13.6.2. Revenue and Trends
13.6.3. Application Revenue and Trends by type of Application
13.6.4. Company Revenue and Product Analysis
13.6.5. Europe Segment Product type and Application Market Size U.K Germany Italy France Netherlands Belgium Spain Denmark Rest of Europe
13.7. Big Data Enterprise – APAC Segment Research
13.8. APAC Market Research (Market Size -$Million / $Billion)
13.8.1. Segment type Size and Market Size Analysis 
13.8.2. Revenue and Trends
13.8.3. Application Revenue and Trends by type of Application
13.8.4. Company Revenue and Product Analysis
13.8.5. APAC Segment – Product type and Application Market Size China Australia Japan South Korea India Taiwan Malaysia
14. Big Data Enterprise Market - Entropy
14.1. New product launches
14.2. M&A's, collaborations, JVs and partnerships
15. Big Data Enterprise Market – Industry / Segment Competition landscape Premium
15.1. Market Share Analysis
15.1.1. Market Share by Country- Top companies
15.1.2. Market Share by Region- Top 10 companies
15.1.3. Market Share by type of Application – Top 10 companies
15.1.4. Market Share by type of Product / Product category- Top 10 companies
15.1.5. Market Share at global level- Top 10 companies
15.1.6. Best Practises for companies
16. Big Data Enterprise Market – Key Company List by Country Premium
17. Big Data Enterprise Market Company Analysis
17.1. Market Share, Company Revenue, Products, M&A, Developments
17.2. Company 1
17.3. Company 2
17.4. Company 3
17.5. Company 4
17.6. Company 5
17.7. Company 6
17.8. Company 7
17.9. Company 8
17.10. Company 9
17.11. Company 10 and more
"*Financials would be provided on a best efforts basis for private companies"
18. Big Data Enterprise Market - Appendix
18.1. Abbreviations
18.2. Sources
19. Big Data Enterprise Market - Methodology
19.1. Research Methodology
19.1.1. Company Expert Interviews
19.1.2. Industry Databases
19.1.3. Associations
19.1.4. Company News
19.1.5. Company Annual Reports
19.1.6. Application Trends
19.1.7. New Products and Product database
19.1.8. Company Transcripts
19.1.9. R&D Trends
19.1.10. Key Opinion Leaders Interviews
19.1.11. Supply and Demand Trends