Global Big Data Market: Industry Analysis and Forecast (2021-2027) by Component, Deployment Mode, Business Function, and Region

Global Big Data Market size was valued at US$ 52.30 Bn in 2020 and the total revenue is expected to grow at 17.8 % through 2021 to 2027, reaching nearly US$ 164.63 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 2020. 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 2020. Global Big Data Market To know about the Research Methodology :- Request Free Sample Report 2020 is considered as a base year to forecast the market from 2021 to 2027. 2020’s market size is estimated on real numbers and outputs of the key players and major players across the globe. Past five years trends are considered while forecasting the market through 2027. 2020 is a year of exception and analyzed specially with the impact of lockdown by region.

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 2020. 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 MarketBased on the Deployment Type, the global Big Data market is segmented into Cloud and On-Premises. The cloud segment is expected to grow at a higher CAGR of xx% in the global big data market during the forecast period. The cloud segment is further sub-segment into Hybrid Cloud, Private Cloud, and Public Cloud. because of the increasing usage and attractiveness of cloud-based big data analysis across organisations The popularity of cloud-based big data solutions is predicted to increase due to benefits such like easy data upkeep, cost-effectiveness, mobility, flexibility, scalability, and proper management. Cloud-based big data solutions are preferred by businesses because they enable their regional, cross-regional, or cross-country data recovery strategies. This allows them to maintain adaptability in the event of a disaster. Global Big Data Market

Global Big Data Market Regional Insights:

North America dominates the global Big Data market during the forecast period 2021-2027. North America held the largest market share xx% with such a revenue of US $ 21 billion in 2020. 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 2021-2027. 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: 2020 Forecast Period: 2021-2027
Historical Data: 2016 to 2020 Market Size in 2020: US $ 52.30 Bn.
Forecast Period 2021 to 2027 CAGR: 17.8% Market Size in 2027: US $ 164.63 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 • Europe • Asia Pacific • South America • Middle East and Africa

Global Big Data Market Key Players

Microsoft • Teradata • IBM • Oracle • SAS Institute • Google • Adobe • Talend • Qlik • TIBCO Software • Alteryx • Sisense • Informatica • Cloudera • Splunk • Palantir Technologies • 1010data • Hitachi Vantara • Fusionex • Information Builders • AWS • SAP • Salesforce • Micro Focus • HPE • MicroStrategy • ThoughtSpot • 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 2027? Ans. The market size of global Big Data Market by 2027 is US $ 164.63 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 2020? Ans. The market size of global Big Data Market in 2020 was US $ 52.30 Bn. 6] By Business Function, What segments are covered in Big Data Market report? Ans. The segments covered in Big Data 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 2020
Updated Date Sep 2021
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