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Global Big Data Platform Market Size By Segmentations, Top Key Players, Trend, Future Development & Forecast 2024-2035

  • PUBLISHED ON
  • 11/23/2022
  • NO OF PAGES
  • 227
  • CATEGORY
  • Information Technology
The competitive landscape analysis of Big Data Platform Market uncovers detailed company profiles, revenue shares, portfolio innovations, regional product footprint, key developmental strategies, pricing structure, target markets, and near-term plans of market leaders. This entire section helps readers gain an essence of what is driving competition and what would help them stand out to win new target markets.

Market estimates and forecast are backed by an extensive primary research, further complemented by on-point secondary research of Big Data Platform Market. The research analysts have invested significant time and effort in gathering critical industry information from KIPs such as OEMs, top suppliers and distributors, and government bodies.

Market Segmentations:
Global Big Data Platform Market: Top Key Players
Microsoft
Google
AWS
IBM
Dell
Splunk
Micro Focus
SAP
Accenture
Informatica
Teradata
Oracle
Cloudera
Palantir
HPE
Cisco
SAS
Big Data Platform Breakdown Data by Type
Cloud-Based
On-Premise
Big Data Platform Breakdown Data by Application
Banking
Manufacturing
Professional Services
Government
Others


Global Big Data Platform Market: Market Size Estimation
Both the top-down and bottom-up approaches were used to estimate and validate the size of the market and to estimate the size of various other dependent sub-markets of various marketspaces. The key players in the markets are identified through secondary research, and their market contributions in different applications across regions and globally were determined through primary and secondary research. This entire process included the study of the annual and financial reports of the top market players and extensive interviews for key insights with industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to arrive at the final quantitative and qualitative data. This data has been consolidated, and detailed inputs and analysis from Analytics Market Research added before being presented in this report.

Reasons to Purchase Big Data Platform Market Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come

Frequently Asked Questions
• What is the market size and growth projections?
• What is the market size and growth projection for each of the market segments and sub-segments across Countries & Regions?
• What are the top performing segments, and countries / regions of each of the markets?
• What is the market size and growth rate across key countries / regions?
• How big is the global & regional market in terms of revenue and volume?
• How far market will grow in forecast period in terms of revenue and volume?
• What factors will influence demand and supply trends across each markets during the forecast period?
• What are the technology trends shaping various markets?
• Which country / region has more opportunities?
• What is the COVID-19 impact on the market and how long will it take to recover?
• Who are the key competitors of market Players?
• What are the market share (%) of Key Players?
• What are the Merger & Acquisition, New Product Launch, Recent Development within each of the Markets?
• What are PEST analysis, Ecosystem Analysis, Porter's Five Forecast Analysis, Ansoff Matrix, and SWOT Analysis among other analyses for diverse markets?
Base Year: 2023
Historic Year: 2016-2022
Forecast: 2024-2035
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Big Data Platform Revenue
1.4 Market Analysis by Type
1.4.1 Global Big Data Platform Market Size Growth Rate by Type: 2022 VS 2030
1.4.2 Cloud-Based
1.4.3 On-Premise
1.5 Market by Application
1.5.1 Global Big Data Platform Market Share by Application: 2022 VS 2030
1.5.2 Banking
1.5.3 Manufacturing
1.5.4 Professional Services
1.5.5 Government
1.5.6 Others
1.6 Coronavirus Disease 2019 (Covid-19): Big Data Platform Industry Impact
1.6.1 How the Covid-19 is Affecting the Big Data Platform Industry
1.6.1.1 Big Data Platform Business Impact Assessment - Covid-19
1.6.1.2 Supply Chain Challenges
1.6.1.3 COVID-19’s Impact On Crude Oil and Refined Products
1.6.2 Market Trends and Big Data Platform Potential Opportunities in the COVID-19 Landscape
1.6.3 Measures / Proposal against Covid-19
1.6.3.1 Government Measures to Combat Covid-19 Impact
1.6.3.2 Proposal for Big Data Platform Players to Combat Covid-19 Impact
1.7 Study Objectives
1.8 Years Considered

2 Global Growth Trends by Regions
2.1 Big Data Platform Market Perspective (2016-2030)
2.2 Big Data Platform Growth Trends by Regions
2.2.1 Big Data Platform Market Size by Regions: 2016 VS 2022 VS 2030
2.2.2 Big Data Platform Historic Market Share by Regions (2016-2021)
2.2.3 Big Data Platform Forecasted Market Size by Regions (2022-2030)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Big Data Platform Market Growth Strategy
2.3.6 Primary Interviews with Key Big Data Platform Players (Opinion Leaders)

3 Competition Landscape by Key Players
3.1 Global Top Big Data Platform Players by Market Size
3.1.1 Global Top Big Data Platform Players by Revenue (2016-2021)
3.1.2 Global Big Data Platform Revenue Market Share by Players (2016-2021)
3.1.3 Global Big Data Platform Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Big Data Platform Market Concentration Ratio
3.2.1 Global Big Data Platform Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by Big Data Platform Revenue in 2021
3.3 Big Data Platform Key Players Head office and Area Served
3.4 Key Players Big Data Platform Product Solution and Service
3.5 Date of Enter into Big Data Platform Market
3.6 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type (2016-2030)
4.1 Global Big Data Platform Historic Market Size by Type (2016-2021)
4.2 Global Big Data Platform Forecasted Market Size by Type (2022-2030)

5 Big Data Platform Breakdown Data by Application (2016-2030)
5.1 Global Big Data Platform Market Size by Application (2016-2021)
5.2 Global Big Data Platform Forecasted Market Size by Application (2022-2030)

6 North America
6.1 North America Big Data Platform Market Size (2016-2021)
6.2 Big Data Platform Key Players in North America (2016-2021)
6.3 North America Big Data Platform Market Size by Type (2016-2021)
6.4 North America Big Data Platform Market Size by Application (2016-2021)

7 Europe
7.1 Europe Big Data Platform Market Size (2016-2021)
7.2 Big Data Platform Key Players in Europe (2016-2021)
7.3 Europe Big Data Platform Market Size by Type (2016-2021)
7.4 Europe Big Data Platform Market Size by Application (2016-2021)

8 China
8.1 China Big Data Platform Market Size (2016-2021)
8.2 Big Data Platform Key Players in China (2016-2021)
8.3 China Big Data Platform Market Size by Type (2016-2021)
8.4 China Big Data Platform Market Size by Application (2016-2021)

9 Japan
9.1 Japan Big Data Platform Market Size (2016-2021)
9.2 Big Data Platform Key Players in Japan (2016-2021)
9.3 Japan Big Data Platform Market Size by Type (2016-2021)
9.4 Japan Big Data Platform Market Size by Application (2016-2021)

10 Southeast Asia
10.1 Southeast Asia Big Data Platform Market Size (2016-2021)
10.2 Big Data Platform Key Players in Southeast Asia (2016-2021)
10.3 Southeast Asia Big Data Platform Market Size by Type (2016-2021)
10.4 Southeast Asia Big Data Platform Market Size by Application (2016-2021)

11 India
11.1 India Big Data Platform Market Size (2016-2021)
11.2 Big Data Platform Key Players in India (2016-2021)
11.3 India Big Data Platform Market Size by Type (2016-2021)
11.4 India Big Data Platform Market Size by Application (2016-2021)

12 Central & South America
12.1 Central & South America Big Data Platform Market Size (2016-2021)
12.2 Big Data Platform Key Players in Central & South America (2016-2021)
12.3 Central & South America Big Data Platform Market Size by Type (2016-2021)
12.4 Central & South America Big Data Platform Market Size by Application (2016-2021)

13 Key Players Profiles
13.1 Microsoft
13.1.1 Microsoft Company Details
13.1.2 Microsoft Business Overview and Its Total Revenue
13.1.3 Microsoft Big Data Platform Introduction
13.1.4 Microsoft Revenue in Big Data Platform Business (2016-2021)
13.1.5 Microsoft Recent Development
13.2 Google
13.2.1 Google Company Details
13.2.2 Google Business Overview and Its Total Revenue
13.2.3 Google Big Data Platform Introduction
13.2.4 Google Revenue in Big Data Platform Business (2016-2021)
13.2.5 Google Recent Development
13.3 AWS
13.3.1 AWS Company Details
13.3.2 AWS Business Overview and Its Total Revenue
13.3.3 AWS Big Data Platform Introduction
13.3.4 AWS Revenue in Big Data Platform Business (2016-2021)
13.3.5 AWS Recent Development
13.4 IBM
13.4.1 IBM Company Details
13.4.2 IBM Business Overview and Its Total Revenue
13.4.3 IBM Big Data Platform Introduction
13.4.4 IBM Revenue in Big Data Platform Business (2016-2021)
13.4.5 IBM Recent Development
13.5 Dell
13.5.1 Dell Company Details
13.5.2 Dell Business Overview and Its Total Revenue
13.5.3 Dell Big Data Platform Introduction
13.5.4 Dell Revenue in Big Data Platform Business (2016-2021)
13.5.5 Dell Recent Development
13.6 Splunk
13.6.1 Splunk Company Details
13.6.2 Splunk Business Overview and Its Total Revenue
13.6.3 Splunk Big Data Platform Introduction
13.6.4 Splunk Revenue in Big Data Platform Business (2016-2021)
13.6.5 Splunk Recent Development
13.7 Micro Focus
13.7.1 Micro Focus Company Details
13.7.2 Micro Focus Business Overview and Its Total Revenue
13.7.3 Micro Focus Big Data Platform Introduction
13.7.4 Micro Focus Revenue in Big Data Platform Business (2016-2021)
13.7.5 Micro Focus Recent Development
13.8 SAP
13.8.1 SAP Company Details
13.8.2 SAP Business Overview and Its Total Revenue
13.8.3 SAP Big Data Platform Introduction
13.8.4 SAP Revenue in Big Data Platform Business (2016-2021)
13.8.5 SAP Recent Development
13.9 Accenture
13.9.1 Accenture Company Details
13.9.2 Accenture Business Overview and Its Total Revenue
13.9.3 Accenture Big Data Platform Introduction
13.9.4 Accenture Revenue in Big Data Platform Business (2016-2021)
13.9.5 Accenture Recent Development
13.10 Informatica
13.10.1 Informatica Company Details
13.10.2 Informatica Business Overview and Its Total Revenue
13.10.3 Informatica Big Data Platform Introduction
13.10.4 Informatica Revenue in Big Data Platform Business (2016-2021)
13.10.5 Informatica Recent Development
13.11 Teradata
10.11.1 Teradata Company Details
10.11.2 Teradata Business Overview and Its Total Revenue
10.11.3 Teradata Big Data Platform Introduction
10.11.4 Teradata Revenue in Big Data Platform Business (2016-2021)
10.11.5 Teradata Recent Development
13.12 Oracle
10.12.1 Oracle Company Details
10.12.2 Oracle Business Overview and Its Total Revenue
10.12.3 Oracle Big Data Platform Introduction
10.12.4 Oracle Revenue in Big Data Platform Business (2016-2021)
10.12.5 Oracle Recent Development
13.13 Cloudera
10.13.1 Cloudera Company Details
10.13.2 Cloudera Business Overview and Its Total Revenue
10.13.3 Cloudera Big Data Platform Introduction
10.13.4 Cloudera Revenue in Big Data Platform Business (2016-2021)
10.13.5 Cloudera Recent Development
13.14 Palantir
10.14.1 Palantir Company Details
10.14.2 Palantir Business Overview and Its Total Revenue
10.14.3 Palantir Big Data Platform Introduction
10.14.4 Palantir Revenue in Big Data Platform Business (2016-2021)
10.14.5 Palantir Recent Development
13.15 HPE
10.15.1 HPE Company Details
10.15.2 HPE Business Overview and Its Total Revenue
10.15.3 HPE Big Data Platform Introduction
10.15.4 HPE Revenue in Big Data Platform Business (2016-2021)
10.15.5 HPE Recent Development
13.16 Cisco
10.16.1 Cisco Company Details
10.16.2 Cisco Business Overview and Its Total Revenue
10.16.3 Cisco Big Data Platform Introduction
10.16.4 Cisco Revenue in Big Data Platform Business (2016-2021)
10.16.5 Cisco Recent Development
13.17 SAS
10.17.1 SAS Company Details
10.17.2 SAS Business Overview and Its Total Revenue
10.17.3 SAS Big Data Platform Introduction
10.17.4 SAS Revenue in Big Data Platform Business (2016-2021)
10.17.5 SAS Recent Development

14 Analyst's Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details

Quality Assurance Process

  1. We Market Research’s Quality Assurance program strives to deliver superior value to our clients.

We Market Research senior executive is assigned to each consulting engagement and works closely with the project team to deliver as per the clients expectations.

Market Research Process




We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.

To mitigate risks that can impact project success, we deploy the follow project delivery best practices:
  • Project kickoff meeting with client
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  • Assign a senior SR executive as QA Executive
  • Conduct internal editorial & quality reviews of project deliverables
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  • Monitor client satisfaction
  • Monitor realized value post-project

Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.


Business Solution

An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.


Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.

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