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Global Big Data Technology Market: By Offering: Solution, Services; By Deployment: Cloud, On-premises, Hybrid; By Application: Customer Analytics, Others; By Organisation Size; By End Use; Regional Analysis; Historical Market and Forecast (2017-2027); Market Dynamics; Competitive Landscape; Industry Events and Developments
Global Big Data Technology Market Outlook
The global big data technology market is expected to grow at a CAGR of 17.1% during the period 2022-2027. The market is expected to be driven by organizations’ need to gather and analyse huge amounts of data to gain insights and make intelligent decisions. North America, Europe and Asia are expected to be key markets.
Global Market Likely to be Driven by Companies Adopting Big Data Processing Technologies to Analyse Massive Amounts of Real-time Data and Make Predictions to Reduce Risk of Failure
Big data describes the vast collection of data that is great in size and exponentially increasing with time. It denotes the massive amount of data difficult to stock, investigate, and transform with conventional tools of management. Big data technologies refer to the utilized software that incorporates data mining, data storage, data sharing, and data visualization; the inclusive term embraces data, data framework including tools and techniques used to examine and transform data. In greater terms of range in technology, it is widely linked with other technologies such as Machine Learning, Deep Learning, Artificial Intelligence, and IoT that are amplified on a larger scale. Big data technologies can be split into two categories – operational and analytical.
Operational big data technologies indicate the generated quantity of data on a daily basis through online transactions, social media, or any kind of data from a particular firm used for analysis through big data technologies-based software; it acts as raw data to feed analytical big data technologies. Some examples outlining operational big data technologies include executives’ details in an MNC, online trading and purchasing from platforms like Amazon, Flipkart, Walmart, etc, online ticket booking for flights, movies, railways, etc.
Analytical big data technologies refer to advanced adaptation of big data technologies; these are relatively complex than operational big data. These involve the investigation of the massive amounts of data crucial for business decisions. Examples include stock marketing, weather forecasting, time series analysis, medical-health records, etc.
Modern Big Data Technologies Offered by Leading Companies Likely to Boost Market Growth
The global big data technology market is likely to be driven by leading big data technologies including Apache Hadoop, Apache Spark, MongoDB, Apache Cassandra, Apache Kafka, QlikView, Qlik Sense, Tableau, Apache Storm, Apache Hive, Apache Pig, Presto, Apache Flink, Apache Sqoop, Rapidminer, KNIME (Konstanz Information Miner), and Elasticsearch.
Applications of Big Data Technologies Likely to Drive Global Market
Big data technologies are widely used in product development, predictive maintenance, to enhance customer experience and operational efficiency, fraud and compliance, machine learning, and to drive innovation.
Companies such as Netflix and Procter & Gamble employ big data to predict customer demand. The companies construct predictive models for novel products and services by categorizing main characteristics of past and current products or services and modelling the association between those features and the commercial success of the offerings. P&G also utilizes data and analytics from focus groups, social media, test markets, and early store rollouts to plan, produce, and launch new products. Such applications are expected to drive the global big data technology market. Factors capable of predicting mechanical failures may be rooted in structured as well as unstructured data. By analysing such data for indications of possible issues before problems occur, organizations can deploy maintenance more efficiently and maximize parts and equipment uptime.
Big data enables a clearer view of customer experience through collection of information from social media, web visits, call logs, and other sources; such information helps enhance interaction experience and maximize value delivered, and enables companies to deliver tailored offers, decrease customer churn, and manage issues proactively. Big data helps identify patterns in data that signify fraud and aggregate large volumes of information to quicken regulatory reporting.
Innovation Enabled by Big Data Technologies and Increasing Use of Such Technologies by Organizations Expected to Stimulate Market Growth
Big data helps analyse and evaluate production, customer feedback and returns, and other aspects to decrease outages and predict future demands. Big data may also be used to enhance decision-making in line with current market demand.
The global big data technology market is expected to be driven by big data technologies that can drive innovation by enabling the study of interdependencies among humans, institutions, entities, and process, and identification of new ways to use those understandings.
Organizations are increasingly leveraging big data to extract value and insights from data. With the exponential increase of data, distributed storage and compute solutions such as Hadoop offer the framework for storing, processing, and analysing big data.
Microsoft Azure offers several options to run big data workloads in the cloud.
Market Segmentation
By offering, the market is segmented into:
- Solution (further broken down by type as given below)
- Big Data Analytics
- Data Discovery
- Data Visualisation
- Data Management
- Services (further broken down by type as given below)
- Managed Services
- Professional Services
By deployment, the market is divided into:
- Cloud
- On-premises
- Hybrid
By application, the market is classified into:
- Customer Analytics
- Operational Analytics
- Fraud Detection and Compliance
- Enterprise Data Warehouse Optimisation
- Data Analytics
By organization size, the market is segmented into:
- Small and Medium Size Enterprises
- Large Enterprises
By end use, the market is divided into:
- BFSI
- Retail
- Manufacturing
- IT and Telecom
- Government
- Healthcare
- Utility
- Education
- Others
By region, the market is divided into:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Key Industry Players in the Market
The report presents a detailed analysis of the following key players in the global big data technology market, looking into their capacity, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
- IBM Corporation
- Microsoft Corporation
- Infosys Limited
- Oracle Corporation
- Cloudera, Inc.
- Others
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
Key Highlights of the Report
| REPORT FEATURES | DETAILS |
|---|---|
| Base Year | 2021 |
| Historical Period | 2017-2021 |
| Forecast Period | 2022-2027 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
|
| Breakup by Offering |
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| Breakup by Deployment |
|
| Breakup by Application |
|
| Breakup by Organisation Size |
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| Breakup by End Use |
|
| Breakup by Region |
|
| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*We at Expert Market Research always thrive to give you the latest information. The numbers in the article are only indicative and may be different from the actual report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Region
7 Industry Opportunities and Challenges
8 Global Big Data Technology Market Analysis
8.1 Key Industry Highlights
8.2 Global Big Data Technology Historical Market (2017-2021)
8.3 Global Big Data Technology Market Forecast (2022-2027)
8.4 Global Big Data Technology Market by Offering
8.4.1 Solution
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2017-2021)
8.4.1.3 Forecast Trend (2022-2027)
8.4.1.4 Breakup by Type
8.4.1.4.1 Big Data Analytics
8.4.1.4.2 Data Discovery
8.4.1.4.3 Data Visualisation
8.4.1.4.4 Data Management
8.4.2 Services
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2017-2021)
8.4.2.3 Forecast Trend (2022-2027)
8.4.2.4 Breakup by Type
8.4.2.4.1 Managed Services
8.4.2.4.2 Professional Services
8.5 Global Big Data Technology Market by Deployment
8.5.1 Cloud
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2017-2021)
8.5.1.3 Forecast Trend (2022-2027)
8.5.2 On-premises
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2017-2021)
8.5.2.3 Forecast Trend (2022-2027)
8.5.3 Hybrid
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2017-2021)
8.5.3.3 Forecast Trend (2022-2027)
8.6 Global Big Data Technology Market by Application
8.6.1 Customer Analytics
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2017-2021)
8.6.1.3 Forecast Trend (2022-2027)
8.6.2 Operational Analytics
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2017-2021)
8.6.2.3 Forecast Trend (2022-2027)
8.6.3 Fraud Detection and Compliance
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2017-2021)
8.6.3.3 Forecast Trend (2022-2027)
8.6.4 Enterprise Data Warehouse Optimisation
8.6.4.1 Market Share
8.6.4.2 Historical Trend (2017-2021)
8.6.4.3 Forecast Trend (2022-2027)
8.6.5 Data Analytics
8.6.5.1 Market Share
8.6.5.2 Historical Trend (2017-2021)
8.6.5.3 Forecast Trend (2022-2027)
8.7 Global Big Data Technology Market by Organisation Size
8.7.1 Small and Medium Size Enterprises
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2017-2021)
8.7.1.3 Forecast Trend (2022-2027)
8.7.2 Large Enterprises
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2017-2021)
8.7.2.3 Forecast Trend (2022-2027)
8.8 Global Big Data Technology Market by End Use
8.8.1 BFSI
8.8.1.1 Market Share
8.8.1.2 Historical Trend (2017-2021)
8.8.1.3 Forecast Trend (2022-2027)
8.8.2 Retail
8.8.2.1 Market Share
8.8.2.2 Historical Trend (2017-2021)
8.8.2.3 Forecast Trend (2022-2027)
8.8.3 Manufacturing
8.8.3.1 Market Share
8.8.3.2 Historical Trend (2017-2021)
8.8.3.3 Forecast Trend (2022-2027)
8.8.4 IT and Telecom
8.8.4.1 Market Share
8.8.4.2 Historical Trend (2017-2021)
8.8.4.3 Forecast Trend (2022-2027)
8.8.5 Government
8.8.5.1 Market Share
8.8.5.2 Historical Trend (2017-2021)
8.8.5.3 Forecast Trend (2022-2027)
8.8.6 Healthcare
8.8.6.1 Market Share
8.8.6.2 Historical Trend (2017-2021)
8.8.6.3 Forecast Trend (2022-2027)
8.8.7 Utility
8.8.7.1 Market Share
8.8.7.2 Historical Trend (2017-2021)
8.8.7.3 Forecast Trend (2022-2027)
8.8.8 Education
8.8.8.1 Market Share
8.8.8.2 Historical Trend (2017-2021)
8.8.8.3 Forecast Trend (2022-2027)
8.8.9 Others
8.9 Global Big Data Technology Market by Region
8.9.1 Market Share
8.9.1.1 North America
8.9.1.2 Europe
8.9.1.3 Asia Pacific
8.9.1.4 Latin America
8.9.1.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2017-2021)
9.1.2 Forecast Trend (2022-2027)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2017-2021)
9.2.2 Forecast Trend (2022-2027)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2017-2021)
9.3.2 Forecast Trend (2022-2027)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2017-2021)
9.4.2 Forecast Trend (2022-2027)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2017-2021)
9.5.2 Forecast Trend (2022-2027)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Competitive Landscape
11.1 Market Structure
11.2 Company Profiles
11.2.1 IBM Corporation
11.2.1.1 Company Overview
11.2.1.2 Product Portfolio
11.2.1.3 Demographic Reach and Achievements
11.2.1.4 Certifications
11.2.2 Microsoft Corporation
11.2.2.1 Company Overview
11.2.2.2 Product Portfolio
11.2.2.3 Demographic Reach and Achievements
11.2.2.4 Certifications
11.2.3 Infosys Limited
11.2.3.1 Company Overview
11.2.3.2 Product Portfolio
11.2.3.3 Demographic Reach and Achievements
11.2.3.4 Certifications
11.2.4 Oracle Corporation
11.2.4.1 Company Overview
11.2.4.2 Product Portfolio
11.2.4.3 Demographic Reach and Achievements
11.2.4.4 Certifications
11.2.5 Cloudera, Inc.
11.2.5.1 Company Overview
11.2.5.2 Product Portfolio
11.2.5.3 Demographic Reach and Achievements
11.2.5.4 Certifications
11.2.6 Others
12 Industry Events and Developments
List of Key Figures and Tables
1. Global Big Data Technology Market: Key Industry Highlights, 2017 and 2027
2. Global Big Data Technology Historical Market: Breakup by Offering (USD Million), 2017-2021
3. Global Big Data Technology Market Forecast: Breakup by Offering (USD Million), 2022-2027
4. Global Big Data Technology Historical Market: Breakup by Deployment (USD Million), 2017-2021
5. Global Big Data Technology Market Forecast: Breakup by Deployment (USD Million), 2022-2027
6. Global Big Data Technology Historical Market: Breakup by Application (USD Million), 2017-2021
7. Global Big Data Technology Market Forecast: Breakup by Application (USD Million), 2022-2027
8. Global Big Data Technology Historical Market: Breakup by Organisation Size (USD Million), 2017-2021
9. Global Big Data Technology Market Forecast: Breakup by Organisation Size (USD Million), 2022-2027
10. Global Big Data Technology Historical Market: Breakup by End Use (USD Million), 2017-2021
11. Global Big Data Technology Market Forecast: Breakup by End Use (USD Million), 2022-2027
12. Global Big Data Technology Historical Market: Breakup by Region (USD Million), 2017-2021
13. Global Big Data Technology Market Forecast: Breakup by Region (USD Million), 2022-2027
14. North America Big Data Technology Historical Market: Breakup by Country (USD Million), 2017-2021
15. North America Big Data Technology Market Forecast: Breakup by Country (USD Million), 2022-2027
16. Europe Big Data Technology Historical Market: Breakup by Country (USD Million), 2017-2021
17. Europe Big Data Technology Market Forecast: Breakup by Country (USD Million), 2022-2027
18. Asia Pacific Big Data Technology Historical Market: Breakup by Country (USD Million), 2017-2021
19. Asia Pacific Big Data Technology Market Forecast: Breakup by Country (USD Million), 2022-2027
20. Latin America Big Data Technology Historical Market: Breakup by Country (USD Million), 2017-2021
21. Latin America Big Data Technology Market Forecast: Breakup by Country (USD Million), 2022-2027
22. Middle East and Africa Big Data Technology Historical Market: Breakup by Country (USD Million), 2017-2021
23. Middle East and Africa Big Data Technology Market Forecast: Breakup by Country (USD Million), 2022-2027
24. Global Big Data Technology Market Structure
Key Questions Answered in the Report
The global big data technology market is projected to grow at a CAGR of 17.1% between 2022 and 2027.
The major drivers of the market include the increasing internet penetration across the world, growing adoption of cloud-based platforms, presence of several large-scale big data technology companies, and increasing smartphone penetration.
The increasing integration of AI and machine learning and organisations’ need to gather and analyse huge amounts of data are the key industry trends propelling the market's growth.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The various offerings provided by the market are solution and services. Solution is further broken down into big data analytics, data discovery, data visualisation, and data management, while services are divided into managed services and professional services.
Based on deployment, the market is divided into cloud, on-premises, and hybrid.
The technology finds wide applications in customer analytics, operational analytics, fraud detection and compliance, enterprise data warehouse optimisation, and data analytics.
On the basis of organisation size, the market is segmented into small and medium size enterprises and large enterprises.
The technology finds end-uses in BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, and education, among others.
The major players in the industry are IBM Corporation, Microsoft Corporation, Infosys Limited, Oracle Corporation, and Cloudera, Inc., among others.
Analyst Review
The global big data technology market was driven by the increasing integration of AI and machine learning in the historical period. Aided by the increasing internet penetration across the world and growing adoption of cloud-based platforms, the market is expected to grow at a CAGR of 17.1% in the forecast period of 2022-2027.
EMR's meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. The various offerings provided by the market are solution and services. Solution is further broken down into big data analytics, data discovery, data visualisation, and data management, while services are divided into managed services and professional services. Based on deployment, the market is divided into cloud, on-premises, and hybrid. The technology finds wide applications in customer analytics, operational analytics, fraud detection and compliance, enterprise data warehouse optimisation, and data analytics. On the basis of organisation size, the market is segmented into small and medium size enterprises and large enterprises. The end-uses of the market are BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, and education, among others. The major regional markets for big data technology are North America, Europe, the Asia Pacific, Latin America, the Middle East and Africa. The major players in the industry include IBM Corporation, Microsoft Corporation, Infosys Limited, Oracle Corporation, and Cloudera, Inc., among others.
EMR's research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable and help them remain ahead of their competition.
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