Big Data Market: Global Industry Analysis and Forecast (2023-2029)


Big Data Market size was valued at US$ 72.56 Bn in 2022 and the total revenue is expected to grow at 17.8 % through 2023 to 2029, reaching nearly US$ 228.42 Bn.

Global Big Data Market Characteristics:

IBM is a worldwide technology firm that offers hardware, software, cloud-based services, and cognitive technologies. Charles Ranlett Flint established the Computing-Tabulating-Recording Company in 1911, succeeding the amalgamation of four enterprises in New York State. IBM had revenue of USD 73.62 Billion in 2022. The Americas area is IBM's largest source of revenue, accounting since over US $ 34 billion - almost a half of the company's total sales. While, the Europe and Asia Pacific revenues are US $ 23.64 and US $ 15.86 in 2022. Big Data MarketTo know about the Research Methodology :- Request Free Sample Report

Global Big Data Market Overview:

Big data analysis is the application of artificial intelligence approaches to very huge, incompatible massive data sets containing organised, semi-structured, and unstructured data from multiple sources, with sizes ranging from terabytes to Zettabytes. This technology is frequently employed in facial recognition software, natural language processing (NLP) and speech synthesis software, self-driving automobiles, and automatic translation services in retail, medical, automotive, agricultural, security, and industrial applications.

Big data has three components: a big capacity, a rapid rate of change, and a wide range of diversity. Artificial intelligence (AI), mobile, networking, and the Internet of Things (IoT) are increasing data complexity by introducing new data types and amount. Big data, for example, is directly transmitted and on a massive scale by sensors, equipment, video/audio, networks, log files, financial applications, online, and social networking sites.

Global Big Data Market Dynamics:

A surge in the adoption of big data software tools in organizations and businesses to uncover business analytics, intelligence, and insights is a major driving factor behind the growth of the market. The rapid adoption of data-intensive technologies by developed economies, increasing applications of big data in government, BFSI, healthcare, and other industries, increasing adoption of artificial intelligence, social, mobile and IoT based services and growing requirements for big data by business users, researchers and analysts to make faster and improved decisions are expected to improve the growth of the market during the forecast period. Big data provides some benefits such as increased efficiency, reduced costs, increased sales and loyalty, enhanced fraud detection, and improved customer’s integration, which are ultimately propelling the growth of the market.

High internet availability and increased usage of technologies such as cybersecurity, internet of things (IoT), and 5G networks are estimated to propel market growth. One of the major trends is the increased use of big data analytics in organisations. Big data analytical solutions are increasing in demand because they allow for the efficient analysis and collecting of large volumes of data that various governments and companies must deal with on a regular basis. This enables businesses to enhance and update their IT infrastructure, which will enhance market growth potential during the forecast period.

However, challenges such as maintaining data security, privacy, integrity, and lack of technically skilled personnel are major restraining factors that could hamper the growth of the market.

Global Big Data Market Segment Analysis:

The global Big Data Market is segmented by Component, Deployment Type, and Business Function.

Based on the Component, the Big Data market is segmented into Solutions and Services. The solutions segment held the largest market share of xx% in 2022. The solutions segment is further sub-segmented into Big Data Analytics, Data Discovery, Data Management and Data Visualization. Big Data analytics solution is the technique of analysing, collecting, and organizing a set of big data to determine useful information. Growing adoption of big data analytics for applications in industries such as government, healthcare, education, IT & telecom, sports, technology media, BFSI, retail and many other industries is attributed to the growth of the market.

International development-Increasing adoption of big data analytics for critical international development projects such as in employment, healthcare, security, crime, economic productivity, and resource management applications due to its cost-effective benefits and opportunities to enhance decision-making is attributed to the growth of the market.

Healthcare-Big data analytics is continuously improving the healthcare industry by delivering customized prescriptive and medicine analytics, predictive analytics and clinical risk intrusions, computerized patient registries, and standardized medical terms. Also rising adoption of eHealth, mHealth, and wearable computing technologies, demand for big data analytics solution has increased from the past few years.

Global Big Data Market Regional Insights:

North America dominates the global Big Data market during the forecast period 2023-2029. North America held the largest market share xx% with such a revenue of US $ 21 billion in 2022. The US and Canada are key contributors to the growth of the market. The growth is attributed to the rising adoption of big data solutions in various industries. Growing technological advancements in analytics techniques such as risk analytics, predictive, and perspective analytics are propelling the growth of the market in the region.

Asia Pacific is expected to grow at a higher CAGR of 18.8% in the global Big Data market during the forecast period 2023-2029. As many innovators and quite well enterprises in the Asia-Pacific area choose Big Data as a Platform to diversify their marketing services, the market grows.

The objective of the report is to present a comprehensive analysis of the global Big Data Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants.

PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The reports also helps in understanding the global Big Data Market dynamic, structure by analyzing the market segments and project the global Big Data Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the global Big Data Market make the report investor’s guide.

Global Big Data Market Scope: Inquire before buying






Global Big Data Market




Report Coverage
Details




Base Year:
2022
Forecast Period:
2022-2029




Historical Data:
2017 to 2022
Market Size in 2022:
US $ 72.56 Bn.




Forecast Period 2022 to 2029 CAGR:
17.8%
Market Size in 2029:
US $ 228.42 Bn.




 Segments Covered:
by Component
Solutions
Services




by Deployment Mode
Cloud
On-Premises




by Business Function
Finance
Marketing and Sales
Human Resources (HR)
Operations






Global Big Data Market, by Region

North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina, Columbia and Rest of South America)

Global Big Data Market, Key Players are

1.Microsoft
2. Teradata
3. IBM
4. Oracle
5. SAS Institute
6. Google
7. Adobe
8. Talend
9. Qlik
10. TIBCO Software
11. Alteryx
12. Sisense
13. Informatica
14. Cloudera
15. Splunk
16. Palantir Technologies
17. 1010data
18. Hitachi Vantara
19. Fusionex
20. Information Builders
21. AWS
22. SAP
23. Salesforce
24. Micro Focus
25. HPE
26. MicroStrategy
27. ThoughtSpot
28. Yellowfin

Frequently Asked Questions:

1] What segments are covered in Big Data Market report?
Ans. The segments covered in Big Data Market report are based on Component, Deployment Type, and Business Function.

2] Which region is expected to hold the highest share in the global Big Data Market?
Ans. North America is expected to hold the highest share in the global Big Data Market.

3] What is the market size of global Big Data Market by 2029?
Ans. The market size of global Big Data Market by 2029 is US $ 228.4 Bn.

4] Who are the top key players in the global Big Data Market?
Ans. Advanced Micro Devices, Inc., Arm Ltd., Baidu Inc., Clairifai Inc., Enlitic, General Vision Inc., Google Inc., are the top key players in the global Big Data Market.

5] What was the market size of global Big Data Market in 2022?
Ans. The market size of global Big Data Market in 2022 was US $ 72.56 Bn.

6] By Business Function, What segments are covered in Big Data Market report?
Ans. The segments covered in  Market report by Component are Finance, Marketing and Sales, Human Resources (HR), and Operations. 





Global Big Data Market

1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives

2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources

3. Executive Summary: Global Big Data Market Size, by Market Value (US$ Bn)

4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Industry Trends and Emerging Technologies

5. Supply Side and Demand Side Indicators

6. Global Big Data Market Analysis and Forecast
6.1. Big Data Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America

7. Global Big Data Market Analysis and Forecast, By Component
7.1. Introduction and Definition
7.2. Key Findings
7.3. Big Data Market Value Share Analysis, By Component
7.4. Big Data Market Size (US$ Bn) Forecast, By Component
7.5. Big Data Market Analysis, By Component
7.6. Big Data Market Attractiveness Analysis, By Component

8. Global Big Data Market Analysis and Forecast, By Deployment Mode
8.1. Introduction and Definition
8.2. Key Findings
8.3. Big Data Market Value Share Analysis, By Deployment Mode
8.4. Big Data Market Size (US$ Bn) Forecast, By Deployment Mode
8.5. Big Data Market Analysis, By Deployment Mode
8.6. Big Data Market Attractiveness Analysis, By Deployment Mode

9. Global Big Data Market Analysis and Forecast, By Business Function
9.1. Introduction and Definition
9.2. Key Findings
9.3. Big Data Market Value Share Analysis, By Business Function
9.4. Big Data Market Size (US$ Bn) Forecast, By Business Function
9.5. Big Data Market Analysis, By Business Function
9.6. Big Data Market Attractiveness Analysis, By Business Function

10. Global Big Data Market Analysis, by Region
10.1. Big Data Market Value Share Analysis, by Region
10.2. Big Data Market Size (US$ Bn) Forecast, by Region
10.3. Big Data Market Attractiveness Analysis, by Region

11. North America Big Data Market Analysis
11.1. Key Findings
11.2. North America Big Data Market Overview
11.3. North America Big Data Market Value Share Analysis, By Component
11.4. North America Big Data Market Forecast, By Component
11.4.1. Solutions
11.4.1.1. Big Data Analytics
11.4.1.2. Data Discovery
11.4.1.3. Data Management
11.4.1.4. Data Visualization
11.4.2. Services
11.4.2.1. Managed Services
11.4.2.2. Profession Services
11.5. North America Big Data Market Value Share Analysis, By Deployment Mode
11.6. North America Big Data Market Forecast, By Deployment Mode
11.6.1. Cloud
11.6.1.1. Hybrid Cloud
11.6.1.2. Private Cloud
11.6.1.3. Public Cloud
11.6.2. On-Premises
11.7. North America Big Data Market Value Share Analysis, By Business Function
11.8. North America Big Data Market Forecast, By Business Function
11.8.1. Finance
11.8.2. Marketing and Sales
11.8.3. Human Resources (HR)
11.8.4. Operations
11.9. North America Big Data Market Value Share Analysis, by Country
11.10. North America Big Data Market Forecast, by Country
11.10.1. U.S.
11.10.2. Canada
11.11. North America Big Data Market Analysis, by Country
11.12. U.S. Big Data Market Forecast, By Component
11.12.1. Solutions
11.12.1.1. Big Data Analytics
11.12.1.2. Data Discovery
11.12.1.3. Data Management
11.12.1.4. Data Visualization
11.12.2. Services
11.12.2.1. Managed Services
11.12.2.2. Profession Services
11.13. U.S. Big Data Market Forecast, By Deployment Mode
11.13.1. Cloud
11.13.1.1. Hybrid Cloud
11.13.1.2. Private Cloud
11.13.1.3. Public Cloud
11.13.2. On-Premises
11.14. U.S. Big Data Market Forecast, By Business Function
11.14.1. Finance
11.14.2. Marketing and Sales
11.14.3. Human Resources (HR)
11.14.4. Operations
11.15. Canada Big Data Market Forecast, By Component
11.15.1. Solutions
11.15.1.1. Big Data Analytics
11.15.1.2. Data Discovery
11.15.1.3. Data Management
11.15.1.4. Data Visualization
11.15.2. Services
11.15.2.1. Managed Services
11.15.2.2. Profession Services
11.16. Canada Big Data Market Forecast, By Deployment Mode
11.16.1. Cloud
11.16.1.1. Hybrid Cloud
11.16.1.2. Private Cloud
11.16.1.3. Public Cloud
11.16.2. On-Premises
11.17. Canada Big Data Market Forecast, By Business Function
11.17.1. Finance
11.17.2. Marketing and Sales
11.17.3. Human Resources (HR)
11.17.4. Operations
11.18. North America Big Data Market Attractiveness Analysis
11.18.1. By Component
11.18.2. By Deployment Mode
11.18.3. By Business Function
11.19. PEST Analysis
11.20. Key Trends
11.21. Key Developments

12. Europe Big Data Market Analysis
12.1. Key Findings
12.2. Europe Big Data Market Overview
12.3. Europe Big Data Market Value Share Analysis, By Component
12.4. Europe Big Data Market Forecast, By Component
12.4.1. Solutions
12.4.1.1. Big Data Analytics
12.4.1.2. Data Discovery
12.4.1.3. Data Management
12.4.1.4. Data Visualization
12.4.2. Services
12.4.2.1. Managed Services
12.4.2.2. Profession Services
12.5. Europe Big Data Market Value Share Analysis, By Deployment Mode
12.6. Europe Big Data Market Forecast, By Deployment Mode
12.6.1. Cloud
12.6.1.1. Hybrid Cloud
12.6.1.2. Private Cloud
12.6.1.3. Public Cloud
12.6.2. On-Premises
12.7. Europe Big Data Market Value Share Analysis, By Business Function
12.8. Europe Big Data Market Forecast, By Business Function
12.8.1. Finance
12.8.2. Marketing and Sales
12.8.3. Human Resources (HR)
12.8.4. Operations
12.9. Europe Big Data Market Value Share Analysis, by Country
12.10. Europe Big Data Market Forecast, by Country
12.10.1. Germany
12.10.2. U.K.
12.10.3. France
12.10.4. Italy
12.10.5. Spain
12.10.6. Rest of Europe
12.11. Europe Big Data Market Analysis, by Country
12.12. Germany Big Data Market Forecast, By Component
12.12.1. Solutions
12.12.1.1. Big Data Analytics
12.12.1.2. Data Discovery
12.12.1.3. Data Management
12.12.1.4. Data Visualization
12.12.2. Services
12.12.2.1. Managed Services
12.12.2.2. Profession Services
12.13. Germany Big Data Market Forecast, By Deployment Mode
12.13.1. Cloud
12.13.1.1. Hybrid Cloud
12.13.1.2. Private Cloud
12.13.1.3. Public Cloud
12.13.2. On-Premises
12.14. Germany Big Data Market Forecast, By Business Function
12.14.1. Finance
12.14.2. Marketing and Sales
12.14.3. Human Resources (HR)
12.14.4. Operations
12.15. U.K. Big Data Market Forecast, By Component
12.15.1. Solutions
12.15.1.1. Big Data Analytics
12.15.1.2. Data Discovery
12.15.1.3. Data Management
12.15.1.4. Data Visualization
12.15.2. Services
12.15.2.1. Managed Services
12.15.2.2. Profession Services
12.16. U.K. Big Data Market Forecast, By Deployment Mode
12.16.1. Cloud
12.16.1.1. Hybrid Cloud
12.16.1.2. Private Cloud
12.16.1.3. Public Cloud
12.16.2. On-Premises
12.17. U.K. Big Data Market Forecast, By Business Function
12.17.1. Finance
12.17.2. Marketing and Sales
12.17.3. Human Resources (HR)
12.17.4. Operations
12.18. France Big Data Market Forecast, By Component
12.18.1. Solutions
12.18.1.1. Big Data Analytics
12.18.1.2. Data Discovery
12.18.1.3. Data Management
12.18.1.4. Data Visualization
12.18.2. Services
12.18.2.1. Managed Services
12.18.2.2. Profession Services
12.19. France Big Data Market Forecast, By Deployment Mode
12.19.1. Cloud
12.19.1.1. Hybrid Cloud
12.19.1.2. Private Cloud
12.19.1.3. Public Cloud
12.19.2. On-Premises
12.20. France Big Data Market Forecast, By Business Function
12.20.1. Finance
12.20.2. Marketing and Sales
12.20.3. Human Resources (HR)
12.20.4. Operations
12.21. Italy Big Data Market Forecast, By Component
12.21.1. Solutions
12.21.1.1. Big Data Analytics
12.21.1.2. Data Discovery
12.21.1.3. Data Management
12.21.1.4. Data Visualization
12.21.2. Services
12.21.2.1. Managed Services
12.21.2.2. Profession Services
12.22. Italy Big Data Market Forecast, By Deployment Mode
12.22.1. Cloud
12.22.1.1. Hybrid Cloud
12.22.1.2. Private Cloud
12.22.1.3. Public Cloud
12.22.2. On-Premises
12.23. Italy Big Data Market Forecast, By Business Function
12.23.1. Finance
12.23.2. Marketing and Sales
12.23.3. Human Resources (HR)
12.23.4. Operations
12.24. Spain Big Data Market Forecast, By Component
12.24.1. Solutions
12.24.1.1. Big Data Analytics
12.24.1.2. Data Discovery
12.24.1.3. Data Management
12.24.1.4. Data Visualization
12.24.2. Services
12.24.2.1. Managed Services
12.24.2.2. Profession Services
12.25. Spain Big Data Market Forecast, By Deployment Mode
12.25.1. Cloud
12.25.1.1. Hybrid Cloud
12.25.1.2. Private Cloud
12.25.1.3. Public Cloud
12.25.2. On-Premises
12.26. Spain Big Data Market Forecast, By Business Function
12.26.1. Finance
12.26.2. Marketing and Sales
12.26.3. Human Resources (HR)
12.26.4. Operations
12.27. Rest of Europe Big Data Market Forecast, By Component
12.27.1. Solutions
12.27.1.1. Big Data Analytics
12.27.1.2. Data Discovery
12.27.1.3. Data Management
12.27.1.4. Data Visualization
12.27.2. Services
12.27.2.1. Managed Services
12.27.2.2. Profession Services
12.28. Rest of Europe Big Data Market Forecast, By Deployment Mode
12.28.1. Cloud
12.28.1.1. Hybrid Cloud
12.28.1.2. Private Cloud
12.28.1.3. Public Cloud
12.28.2. On-Premises
12.29. Rest Of Europe Big Data Market Forecast, By Business Function
12.29.1. Finance
12.29.2. Marketing and Sales
12.29.3. Human Resources (HR)
12.29.4. Operations
12.30. Europe Big Data Market Attractiveness Analysis
12.30.1. By Component
12.30.2. By Deployment Mode
12.30.3. By Business Function
12.31. PEST Analysis
12.32. Key Trends
12.33. Key Developments

13. Asia Pacific Big Data Market Analysis
13.1. Key Findings
13.2. Asia Pacific Big Data Market Overview
13.3. Asia Pacific Big Data Market Value Share Analysis, By Component
13.4. Asia Pacific Big Data Market Forecast, By Component
13.4.1. Solutions
13.4.1.1. Big Data Analytics
13.4.1.2. Data Discovery
13.4.1.3. Data Management
13.4.1.4. Data Visualization
13.4.2. Services
13.4.2.1. Managed Services
13.4.2.2. Profession Services
13.5. Asia Pacific Big Data Market Value Share Analysis, By Deployment Mode
13.6. Asia Pacific Big Data Market Forecast, By Deployment Mode
13.6.1. Cloud
13.6.1.1. Hybrid Cloud
13.6.1.2. Private Cloud
13.6.1.3. Public Cloud
13.6.2. On-Premises
13.7. Asia Pacific Big Data Market Value Share Analysis, By Business Function
13.8. Asia Pacific Big Data Market Forecast, By Business Function
13.8.1. Finance
13.8.2. Marketing and Sales
13.8.3. Human Resources (HR)
13.8.4. Operations
13.9. Asia Pacific Big Data Market Value Share Analysis, by Country
13.10. Asia Pacific Big Data Market Forecast, by Country
13.10.1. China
13.10.2. India
13.10.3. Japan
13.10.4. ASEAN
13.10.5. Rest of Asia Pacific
13.11. Asia Pacific Big Data Market Analysis, by Country
13.12. China Big Data Market Forecast, By Component
13.12.1. Solutions
13.12.1.1. Big Data Analytics
13.12.1.2. Data Discovery
13.12.1.3. Data Management
13.12.1.4. Data Visualization
13.12.2. Services
13.12.2.1. Managed Services
13.12.2.2. Profession Services
13.13. China Big Data Market Forecast, By Deployment Mode
13.13.1. Cloud
13.13.1.1. Hybrid Cloud
13.13.1.2. Private Cloud
13.13.1.3. Public Cloud
13.13.2. On-Premises
13.14. China Big Data Market Forecast, By Business Function
13.14.1. Finance
13.14.2. Marketing and Sales
13.14.3. Human Resources (HR)
13.14.4. Operations
13.15. India Big Data Market Forecast, By Component
13.15.1. Solutions
13.15.1.1. Big Data Analytics
13.15.1.2. Data Discovery
13.15.1.3. Data Management
13.15.1.4. Data Visualization
13.15.2. Services
13.15.2.1. Managed Services
13.15.2.2. Profession Services
13.16. India Big Data Market Forecast, By Deployment Mode
13.16.1. Cloud
13.16.1.1. Hybrid Cloud
13.16.1.2. Private Cloud
13.16.1.3. Public Cloud
13.16.2. On-Premises
13.17. India Big Data Market Forecast, By Business Function
13.17.1. Finance
13.17.2. Marketing and Sales
13.17.3. Human Resources (HR)
13.17.4. Operations
13.18. Japan Big Data Market Forecast, By Component
13.18.1. Solutions
13.18.1.1. Big Data Analytics
13.18.1.2. Data Discovery
13.18.1.3. Data Management
13.18.1.4. Data Visualization
13.18.2. Services
13.18.2.1. Managed Services
13.18.2.2. Profession Services
13.19. Japan Big Data Market Forecast, By Deployment Mode
13.19.1. Cloud
13.19.1.1. Hybrid Cloud
13.19.1.2. Private Cloud
13.19.1.3. Public Cloud
13.19.2. On-Premises
13.20. Japan Big Data Market Forecast, By Business Function
13.20.1. Finance
13.20.2. Marketing and Sales
13.20.3. Human Resources (HR)
13.20.4. Operations
13.21. ASEAN Big Data Market Forecast, By Component
13.21.1. Solutions
13.21.1.1. Big Data Analytics
13.21.1.2. Data Discovery
13.21.1.3. Data Management
13.21.1.4. Data Visualization
13.21.2. Services
13.21.2.1. Managed Services
13.21.2.2. Profession Services
13.22. ASEAN Big Data Market Forecast, By Deployment Mode
13.22.1. Cloud
13.22.1.1. Hybrid Cloud
13.22.1.2. Private Cloud
13.22.1.3. Public Cloud
13.22.2. On-Premises
13.23. ASEAN Big Data Market Forecast, By Business Function
13.23.1. Finance
13.23.2. Marketing and Sales
13.23.3. Human Resources (HR)
13.23.4. Operations
13.24. Rest of Asia Pacific Big Data Market Forecast, By Component
13.24.1. Solutions
13.24.1.1. Big Data Analytics
13.24.1.2. Data Discovery
13.24.1.3. Data Management
13.24.1.4. Data Visualization
13.24.2. Services
13.24.2.1. Managed Services
13.24.2.2. Profession Services
13.25. Rest of Asia Pacific Big Data Market Forecast, By Deployment Mode
13.25.1. Cloud
13.25.1.1. Hybrid Cloud
13.25.1.2. Private Cloud
13.25.1.3. Public Cloud
13.25.2. On-Premises
13.26. Rest of Asia Pacific Big Data Market Forecast, By Business Function
13.26.1. Finance
13.26.2. Marketing and Sales
13.26.3. Human Resources (HR)
13.26.4. Operations
13.27. Asia Pacific Big Data Market Attractiveness Analysis
13.27.1. By Component
13.27.2. By Deployment Mode
13.27.3. By Business Function
13.28. PEST Analysis
13.29. Key Trends
13.30. Key Developments

14. Middle East & Africa Big Data Market Analysis
14.1. Key Findings
14.2. Middle East & Africa Big Data Market Overview
14.3. Middle East & Africa Big Data Market Value Share Analysis, By Component
14.4. Middle East & Africa Big Data Market Forecast, By Component
14.4.1. Solutions
14.4.1.1. Big Data Analytics
14.4.1.2. Data Discovery
14.4.1.3. Data Management
14.4.1.4. Data Visualization
14.4.2. Services
14.4.2.1. Managed Services
14.4.2.2. Profession Services
14.5. Middle East & Africa Big Data Market Value Share Analysis, By Deployment Mode
14.6. Middle East & Africa Big Data Market Forecast, By Deployment Mode
14.6.1. Cloud
14.6.1.1. Hybrid Cloud
14.6.1.2. Private Cloud
14.6.1.3. Public Cloud
14.6.2. On-Premises
14.7. Middle East & Africa Big Data Market Value Share Analysis, By Business Function
14.8. Middle East & Africa Big Data Market Forecast, By Business Function
14.8.1. Finance
14.8.2. Marketing and Sales
14.8.3. Human Resources (HR)
14.8.4. Operations
14.9. Middle East & Africa Big Data Market Value Share Analysis, by Country
14.10. Middle East & Africa Big Data Market Forecast, by Country
14.10.1. GCC
14.10.2. South Africa
14.10.3. Rest of Middle East & Africa
14.11. Middle East & Africa Big Data Market Analysis, by Country
14.12. GCC Big Data Market Forecast, By Component
14.12.1. Solutions
14.12.1.1. Big Data Analytics
14.12.1.2. Data Discovery
14.12.1.3. Data Management
14.12.1.4. Data Visualization
14.12.2. Services
14.12.2.1. Managed Services
14.12.2.2. Profession Services
14.13. GCC Big Data Market Forecast, By Deployment Mode
14.13.1. Cloud
14.13.1.1. Hybrid Cloud
14.13.1.2. Private Cloud
14.13.1.3. Public Cloud
14.13.2. On-Premises
14.14. GCC Big Data Market Forecast, By Business Function
14.14.1. Finance
14.14.2. Marketing and Sales
14.14.3. Human Resources (HR)
14.14.4. Operations
14.15. South Africa Big Data Market Forecast, By Component
14.15.1. Solutions
14.15.1.1. Big Data Analytics
14.15.1.2. Data Discovery
14.15.1.3. Data Management
14.15.1.4. Data Visualization
14.15.2. Services
14.15.2.1. Managed Services
14.15.2.2. Profession Services
14.16. South Africa Big Data Market Forecast, By Deployment Mode
14.16.1. Cloud
14.16.1.1. Hybrid Cloud
14.16.1.2. Private Cloud
14.16.1.3. Public Cloud
14.16.2. On-Premises
14.17. South Africa Big Data Market Forecast, By Business Function
14.17.1. Finance
14.17.2. Marketing and Sales
14.17.3. Human Resources (HR)
14.17.4. Operations
14.18. Rest of Middle East & Africa Big Data Market Forecast, By Component
14.18.1. Solutions
14.18.1.1. Big Data Analytics
14.18.1.2. Data Discovery
14.18.1.3. Data Management
14.18.1.4. Data Visualization
14.18.2. Services
14.18.2.1. Managed Services
14.18.2.2. Profession Services
14.19. Rest of Middle East & Africa Big Data Market Forecast, By Deployment Mode
14.19.1. Cloud
14.19.1.1. Hybrid Cloud
14.19.1.2. Private Cloud
14.19.1.3. Public Cloud
14.19.2. On-Premises
14.20. Rest of Middle East &Africa Big Data Market Forecast, By Business Function
14.20.1. Finance
14.20.2. Marketing and Sales
14.20.3. Human Resources (HR)
14.20.4. Operations
14.21. Middle East & Africa Big Data Market Attractiveness Analysis
14.21.1. By Component
14.21.2. By Deployment Mode
14.21.3. By Business Function
14.22. PEST Analysis
14.23. Key Trends
14.24. Key Developments

15. South America Big Data Market Analysis
15.1. Key Findings
15.2. South America Big Data Market Overview
15.3. South America Big Data Market Value Share Analysis, By Component
15.4. South America Big Data Market Forecast, By Component
15.4.1. Solutions
15.4.1.1. Big Data Analytics
15.4.1.2. Data Discovery
15.4.1.3. Data Management
15.4.1.4. Data Visualization
15.4.2. Services
15.4.2.1. Managed Services
15.4.2.2. Profession Services
15.5. South America Big Data Market Value Share Analysis, By Deployment Mode
15.6. South America Big Data Market Forecast, By Deployment Mode
15.6.1. Cloud
15.6.1.1. Hybrid Cloud
15.6.1.2. Private Cloud
15.6.1.3. Public Cloud
15.6.2. On-Premises
15.7. South America Big Data Market Value Share Analysis, By Business Function
15.8. South America Big Data Market Forecast, By Business Function
15.8.1. Finance
15.8.2. Marketing and Sales
15.8.3. Human Resources (HR)
15.8.4. Operations
15.9. South America Big Data Market Value Share Analysis, by Country
15.10. South America Big Data Market Forecast, by Country
15.10.1. Brazil
15.10.2. Mexico
15.10.3. Rest of South America
15.11. South America Big Data Market Analysis, by Country
15.12. Brazil Big Data Market Forecast, By Component
15.12.1. Solutions
15.12.1.1. Big Data Analytics
15.12.1.2. Data Discovery
15.12.1.3. Data Management
15.12.1.4. Data Visualization
15.12.2. Services
15.12.2.1. Managed Services
15.12.2.2. Profession Services
15.13. Brazil Big Data Market Forecast, By Deployment Mode
15.13.1. Cloud
15.13.1.1. Hybrid Cloud
15.13.1.2. Private Cloud
15.13.1.3. Public Cloud
15.13.2. On-Premises
15.14. Brazil Big Data Market Forecast, By Business Function
15.14.1. Finance
15.14.2. Marketing and Sales
15.14.3. Human Resources (HR)
15.14.4. Operations
15.15. Mexico Big Data Market Forecast, By Component
15.15.1. Solutions
15.15.1.1. Big Data Analytics
15.15.1.2. Data Discovery
15.15.1.3. Data Management
15.15.1.4. Data Visualization
15.15.2. Services
15.15.2.1. Managed Services
15.15.2.2. Profession Services
15.16. Mexico Big Data Market Forecast, By Deployment Mode
15.16.1. Cloud
15.16.1.1. Hybrid Cloud
15.16.1.2. Private Cloud
15.16.1.3. Public Cloud
15.16.2. On-Premises
15.17. Mexico Big Data Market Forecast, By Business Function
15.17.1. Finance
15.17.2. Marketing and Sales
15.17.3. Human Resources (HR)
15.17.4. Operations
15.18. Rest of South America Big Data Market Forecast, By Component
15.18.1. Solutions
15.18.1.1. Big Data Analytics
15.18.1.2. Data Discovery
15.18.1.3. Data Management
15.18.1.4. Data Visualization
15.18.2. Services
15.18.2.1. Managed Services
15.18.2.2. Profession Services
15.19. Rest of South America Big Data Market Forecast, By Deployment Mode
15.19.1. Cloud
15.19.1.1. Hybrid Cloud
15.19.1.2. Private Cloud
15.19.1.3. Public Cloud
15.19.2. On-Premises
15.20. Rest of South America Big Data Market Forecast, By Business Function
15.20.1. Finance
15.20.2. Marketing and Sales
15.20.3. Human Resources (HR)
15.20.4. Operations
15.21. South America Big Data Market Attractiveness Analysis
15.21.1. By Component
15.21.2. By Deployment Mode
15.21.3. By Business Function
15.22. PEST Analysis
15.23. Key Trends
15.24. Key Developments

16. Company Profiles
16.1. Market Share Analysis, by Company
16.2. Competition Matrix
16.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications, and R&D investment
16.2.2. New Product Launches and Product Enhancements
16.2.3. Market Consolidation
16.2.3.1. M&A by Regions, Investment and Applications
16.2.3.2. M&A Key Players, Forward Integration and BackwardIntegration
16.3. Company Profiles: Key Players
16.3.1. Microsoft
16.3.1.1. Company Overview
16.3.1.2. Financial Overview
16.3.1.3. Product Portfolio
16.3.1.4. Business Strategy
16.3.1.5. Recent Developments
16.3.1.6. Development Footprint
16.3.2. Teradata
16.3.3. IBM
16.3.4. Oracle
16.3.5. SAS Institute
16.3.6. Google
16.3.7. Adobe
16.3.8. Talend
16.3.9. Qlik
16.3.10. TIBCO Software
16.3.11. Alteryx
16.3.12. Sisense
16.3.13. Informatica
16.3.14. Cloudera
16.3.15. Splunk
16.3.16. Palantir Technologies
16.3.17. 1010data
16.3.18. Hitachi Vantara
16.3.19. Fusionex
16.3.20. Information Builders
16.3.21. AWS
16.3.22. SAP
16.3.23. Salesforce
16.3.24. Micro Focus
16.3.25. HPE
16.3.26. MicroStrategy
16.3.27. ThoughtSpot
16.3.28. Yellowfin

17. Primary Key Insights

About This Report

Report ID 66349
Category Information Technology & Telecommunication
Published Date July 2023
Updated Date
  • INQUIRE BEFORE BUYING