Global Big Data Analytics Market 2022-2028

Description

List of Tables

Title:
Global Big Data Analytics Market Size, Share & Trends Analysis Report
by Solution (Content Analytics, Customer Analytics, Fraud, and Risk detection, and Predictive Maintenance), by Deployment (On-Premises and Cloud-Based), by End-Users (Aerospace &Defence, Automotive, BFSI, Healthcare, Government, Manufacturers, and Others) Forecast Period (2022-2028).

The global big data analyticsmarket is anticipated to grow at a substantial CAGR of 14% during the forecast period. Various secure, effective, and robust mechanisms in the next few years are expected to increase the security level of these big data techniques from data breaches. Additionally, the rising demand for big data tools in several applications including business intelligence and operations, healthcare, and so forth, will augment the growth of the big data analytics market in near future.Moreover, security concerns and lack of awareness regarding the tools and techniques used in big data analytics are still some of the restraints that are hindering the big data markets growth across the globe. Growing innovations and technological advancements in big data analytics software are expected to overcome these restraints in the near future.

The global Big Data Analytics market is segmented based on the solution, deployment, and end-users.Based on the solution, the market is augmented into content analytics, customer analytics, fraud and risk detection, and predictive maintenance. Based on the deployment, the market is bifurcated into the on-premises and cloud-based. Based on the end-users, the market is further sub-segmented into the aerospace &defense, automotive, BFSI, healthcare, government, manufacturers, and others. The combination of big data with the cloud finds applications in different companies and able them to derive better analysis from the large amounts of structured and unstructured data. Sharing big data in the cloud makes it easier to track, analyze and ultimately act on insights. Cloud-based big data analytics provides several advantages over on-premises big data analytics solutions, such as it is faster, cheaper, more flexible, and easier to keep up to date. Several other benefits offered by the cloud include virtual data management, establishing big data infrastructure as quickly as possible, financial advantages to the companies, and many more.

Geographically the global big data analyticsmarket is segmented into North America, Europe, Asia Pacific, and the Rest of the World. Among all regions, North America is expected to hold a significant share in the global market over the forecast period, owing to the rising number of adoptions in the use of big data analytics and the growing awareness among the masses of technological advancement.

The major companies serving the global big data analyticsmarket include: Cogito Corp., Couchbase, Inc., Dataiku Inc., Datameer, Inc., Dell Inc., Google LLC, Microsoft Corp., New Relic, Inc., SAS Institute Inc., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers &andacquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in May 2021, Gainsight announced the launchlaunchedof Horizon Analytics, delivering robust new reporting and analytics capabilities to its industry-leading Customer Success software platform. Horizon Analytics aims to help users uncover faster insights, inform better business decisions with accurate and relevant reporting, and improve retention and growth by driving company-wide customer-centricity.

Research Methodology

The market study of the global big data analyticsmarket is incorporated by extensive primary and secondary research conducted by the research team at OMR.Secondary research has been conducted to refine the available data to breakdown the market into various segments, and derive the total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity to our reports.

Secondary Sources Include:

Financial reports of companies involved in the market.
Whitepapers, research papers, and news blogs.
Company websites and their product catalog.

The report provides an in-depth analysis of the market size, andintended quality of the service preferred by consumers. The report will serve as a source for a 360-degree analysis of the market thoroughly integrating different models.

Market Segmentation

1. Global Big Data Analytics Market Research and Analysis by Solution.

2. Global Big Data Analytics Market Research and Analysis by Deployment.

3. Global Big Data Analytics Market Research and Analysis by End-Users.

The Report Covers:

Comprehensive research methodology of the global big data analyticsmarket.

This report also includes a detailed and extensive market overview with key analyst insights.

An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.

Analysis of regional regulations and other government policies impacting the global big data analytics market.

Insights about market determinants that are stimulating the global big data analyticsmarket.

Detailed and extensive market segments with the regional distribution of forecasted revenues.

Extensive profiles and recent developments of market players.

Product Code: OMR2017154

1. Report Summary

Current Industry Analysis and Growth Potential Outlook
Impact of COVID-19 on the Global Big Data Analytics Market
Recovery Scenario of Global Big Data Analytics Market
1.1. Research Methods and Tools
1.2. Market Breakdown
- 1.2.1. By Segments
- 1.2.2. ByRegion

2. Market Overview and Insights

2.1. Scope of the Report
2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Findings
- 2.2.2. Recommendations
- 2.2.3. Conclusion

3. Competitive Landscape

3.1. Hewlett Packard Enterprise Development LP
- 3.1.1. Overview
- 3.1.2. Financial Analysis
- 3.1.3. SWOT Analysis
- 3.1.4. Recent Developments
3.2. IBM Corp.
- 3.2.1. Overview
- 3.2.2. Financial Analysis
- 3.2.3. SWOT Analysis
- 3.2.4. Recent Developments
3.3. Oracle Corp.
- 3.3.1. Overview
- 3.3.2. Financial Analysis
- 3.3.3. SWOT Analysis
- 3.3.4. Recent Developments
3.4. SAP SE
- 3.4.1. Overview
- 3.4.2. Financial Analysis
- 3.4.3. SWOT Analysis
- 3.4.4. Recent Developments
3.5. Teradata Corp.
- 3.5.1. Overview
- 3.5.2. Financial Analysis
- 3.5.3. SWOT Analysis
- 3.5.4. Recent Developments
3.6. Key Strategy Analysis
3.7. Impact of COVID-19 on Key Players

4. Market Segmentation

4.1. Global Big Data Analytics Market by Solution
- 4.1.1. Content Analytics
- 4.1.2. Customer Analytics
- 4.1.3. Fraud and Risk detection
- 4.1.4. Predictive Maintenance
4.2. Global Big Data Analytics Market by Deployment
- 4.2.1. On-Premises
- 4.2.2. Cloud-Based
4.3. Global Big Data Analytics Market by End-Users
- 4.3.1. Aerospace &Defence
- 4.3.2. Automotive
- 4.3.3. BFSI
- 4.3.4. Healthcare
- 4.3.5. Government
- 4.3.6. Manufacturing
- 4.3.7. Others (Transportation and IT & Telecom)

5. Regional Analysis

5.1. North America
- 5.1.1. United States
- 5.1.2. Canada
5.2. Europe
- 5.2.1. UK
- 5.2.2. Germany
- 5.2.3. Italy
- 5.2.4. Spain
- 5.2.5. France
- 5.2.6. Rest of Europe
5.3. Asia-Pacific
- 5.3.1. China
- 5.3.2. India
- 5.3.3. Japan
- 5.3.4. South Korea
- 5.3.5. Rest of Asia-Pacific
5.4. Rest of the World

6. Company Profiles

6.1. Alation, Inc.
6.2. Alteryx, Inc.
6.3. Amazon Web Services, Inc.
6.4. BigML, Inc.
6.5. Cloudera, Inc.
6.6. Cogito Corp.
6.7. Couchbase, Inc.
6.8. Dataiku Inc.
6.9. Datameer, Inc.
6.10. Dell Inc.
6.11. Google LLC
6.12. Microsoft Corp.
6.13. New Relic, Inc.
6.14. SAS Institute Inc.
6.15. Sigma Data Systems
6.16. Sisense Ltd.
6.17. Splice Machine, Inc.
6.18. Splunk Inc.