The global big data and analytics market will grow from $92.06 billion in 2022 to $104.19 billion in 2023 at a compound annual growth rate (CAGR) of 13.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services effecting many markets across the globe. The big data and analytics market is expected to grow to $172.84 billion in 2027 at a CAGR of 13.5%.
The big data and analytics market includes revenues earned by entities by offering software used for data mining and predictive modeling. The sales consist of revenues generated by establishments that are primarily engaged in the development of software for big data and analytics like Hadoop, Tableau and Qubole. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included.
Big data and analytics is the use of certain advanced analytics techniques on big data or very large datasets to generate business insights. It begins with data collection with predefined templates and forms, followed by data maintenance, data processing, and data analysis.
Asia Pacific was the largest region in the big data and analytics market in 2022. North America was the second largest region in the big data and analytics market. The regions covered in the big data and analytics market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The main analytics tools of big data and analytics are dashboard and data visualization, self-service tools, data mining and warehousing, reporting and others. Data visualization is the method of converting big data sets and metrics into charts, graphs, and other graphics. The resulting visual representation of data makes it easier to detect and convey real-time patterns, outliers, and fresh insights about the data. The analytics tools are deployed through on-premise and cloud mode for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics and others. The big data tool and analytics are used by various end-use industries such as BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, others.
The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers' aspirations boosts the growth of the big data and analytics market. For instance, Costco, a major retailer that collects its customer's data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market.
The shortage of skilled professionals is a major restraint for the big data and analytics market. Developing hardware, software and system integration require trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too expensive to hire, which stifles the growth of the big data and analytics market. According to the US Bureau of Labor Statistics, 11.5 million new jobs will be created for data science and analytics by the year 2026. However, the lack of a skilled workforce to occupy the job vacancies hinders market growth.
The agile process' success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it's a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce.
In April 2022, Accenture, a global information technology company acquired Ergo for an undisclosed amount. The acquisition will broaden the Cloud First capabilities of Accenture and increases its customer base in the Hispanic South American market. Ergo is an Argentinian big data, analytics and artificial intelligence (AI) company.
The countries covered in the big data and analytics market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA.
The market value is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography through sales, grants, or donations in terms of currency (in USD ($) unless otherwise specified).
The revenues for a specified geography are consumption values - that is, they are revenues generated by organizations in the specified geography within the specified market, irrespective of where they are produced. It does not include revenues from resales either further along the supply chain or as part of other products.
The big data and analytics market research report is one of a series of new reports that provides big data and analytics market statistics, including big data and analytics industry global market size, regional shares, competitors with a big data and analytics market share, detailed big data and analytics market segments, market trends and opportunities, and any further data you may need to thrive in the big data and analytics industry. This big data and analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Major players in the big data and analytics market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Accenture, Salesforce, Cisco Systems, Tableau Software, Hewlett Packard Enterprise Development LP., Amazon Web Services,, Dell Inc., Cloudera, Musigma, Informatica, Alpine Data Labs, Alteryx, Amazon Web Services, BigML, Cognonto Corp., Couchbase, Inc., and Dataiku.
This product will be delivered within 1-3 business days.
The big data and analytics market includes revenues earned by entities by offering software used for data mining and predictive modeling. The sales consist of revenues generated by establishments that are primarily engaged in the development of software for big data and analytics like Hadoop, Tableau and Qubole. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included.
Big data and analytics is the use of certain advanced analytics techniques on big data or very large datasets to generate business insights. It begins with data collection with predefined templates and forms, followed by data maintenance, data processing, and data analysis.
Asia Pacific was the largest region in the big data and analytics market in 2022. North America was the second largest region in the big data and analytics market. The regions covered in the big data and analytics market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The main analytics tools of big data and analytics are dashboard and data visualization, self-service tools, data mining and warehousing, reporting and others. Data visualization is the method of converting big data sets and metrics into charts, graphs, and other graphics. The resulting visual representation of data makes it easier to detect and convey real-time patterns, outliers, and fresh insights about the data. The analytics tools are deployed through on-premise and cloud mode for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics and others. The big data tool and analytics are used by various end-use industries such as BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, others.
The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers' aspirations boosts the growth of the big data and analytics market. For instance, Costco, a major retailer that collects its customer's data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market.
The shortage of skilled professionals is a major restraint for the big data and analytics market. Developing hardware, software and system integration require trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too expensive to hire, which stifles the growth of the big data and analytics market. According to the US Bureau of Labor Statistics, 11.5 million new jobs will be created for data science and analytics by the year 2026. However, the lack of a skilled workforce to occupy the job vacancies hinders market growth.
The agile process' success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it's a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce.
In April 2022, Accenture, a global information technology company acquired Ergo for an undisclosed amount. The acquisition will broaden the Cloud First capabilities of Accenture and increases its customer base in the Hispanic South American market. Ergo is an Argentinian big data, analytics and artificial intelligence (AI) company.
The countries covered in the big data and analytics market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA.
The market value is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography through sales, grants, or donations in terms of currency (in USD ($) unless otherwise specified).
The revenues for a specified geography are consumption values - that is, they are revenues generated by organizations in the specified geography within the specified market, irrespective of where they are produced. It does not include revenues from resales either further along the supply chain or as part of other products.
The big data and analytics market research report is one of a series of new reports that provides big data and analytics market statistics, including big data and analytics industry global market size, regional shares, competitors with a big data and analytics market share, detailed big data and analytics market segments, market trends and opportunities, and any further data you may need to thrive in the big data and analytics industry. This big data and analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Major players in the big data and analytics market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Accenture, Salesforce, Cisco Systems, Tableau Software, Hewlett Packard Enterprise Development LP., Amazon Web Services,, Dell Inc., Cloudera, Musigma, Informatica, Alpine Data Labs, Alteryx, Amazon Web Services, BigML, Cognonto Corp., Couchbase, Inc., and Dataiku.
This product will be delivered within 1-3 business days.
Frequently Asked Questions about the Global Big Data and Analytics Market
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| Report Attribute | Details |
|---|---|
| No. of Pages | 175 |
| Published | February 2023 |
| Forecast Period | 2023 - 2027 |
| Estimated Market Value ( USD | $ 104.19 billion |
| Forecasted Market Value ( USD | $ 172.84 billion |
| Compound Annual Growth Rate | 13.5% |
| Regions Covered | Global |
Table of Contents
1. Executive Summary2. Big Data and Analytics Market Characteristics
3. Big Data and Analytics Market Trends And Strategies
4. Big Data and Analytics Market - Macro Economic Scenario
4.1 COVID-19 Impact On Big Data and Analytics Market
4.2 Ukraine-Russia War Impact On Big Data and Analytics Market
4.3 Impact Of High Inflation On Big Data and Analytics Market
5. Big Data and Analytics Market Size And Growth
5.1. Global Big Data and Analytics Historic Market, 2017-2022, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Big Data and Analytics Forecast Market, 2022-2027F, 2032F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market
6. Big Data and Analytics Market Segmentation
6.1. Global Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Dashboard & Data Visualization
- Self-Service Tools
- Data Mining & Warehousing
- Reporting
- Other Analytics Tools
- On-Premise
- Cloud
- BFSI
- Retail
- Manufacturing
- IT and Telecom
- Government
- Healthcare
- Utility
- Other End Use Industries
- Customer Analytics
- Supply Chain Analytics
- Marketing Analytics
- Pricing Analytics
- Spatial Analytics
- Workforce Analytics
- Risk & Credit Analytics
- Transportation Analytics
- Other Applications
7.1. Global Big Data and Analytics Market, Split By Region, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
7.2. Global Big Data and Analytics Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
8. Asia-Pacific Big Data and Analytics Market
8.1. Asia-Pacific Big Data and Analytics Market Overview
- Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.3. Asia-Pacific Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
9. China Big Data and Analytics Market
9.1. China Big Data and Analytics Market Overview
9.2. China Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
9.3. China Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
10. India Big Data and Analytics Market
10.1. India Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
10.2. India Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
11. Japan Big Data and Analytics Market
11.1. Japan Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
11.2. Japan Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
12. Australia Big Data and Analytics Market
12.1. Australia Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
12.2. Australia Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
13. Indonesia Big Data and Analytics Market
13.1. Indonesia Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
13.2. Indonesia Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
14. South Korea Big Data and Analytics Market
14.1. South Korea Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
14.2. South Korea Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
15. Western Europe Big Data and Analytics Market
15.1. Western Europe Big Data and Analytics Market Overview
15.2. Western Europe Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
15.3. Western Europe Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
16. UK Big Data and Analytics Market
16.1. UK Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
16.2. UK Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
17. Germany Big Data and Analytics Market
17.1. Germany Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
17.2. Germany Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
18. France Big Data and Analytics Market
18.1. France Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
18.2. France Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
19. Eastern Europe Big Data and Analytics Market
19.1. Eastern Europe Big Data and Analytics Market Overview
19.2. Eastern Europe Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
19.3. Eastern Europe Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
20. Russia Big Data and Analytics Market
20.1. Russia Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
20.2. Russia Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
21. North America Big Data and Analytics Market
21.1. North America Big Data and Analytics Market Overview
21.2. North America Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
21.3. North America Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
22. USA Big Data and Analytics Market
22.1. USA Big Data and Analytics Market Overview
22.2. USA Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
22.3. USA Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
23. South America Big Data and Analytics Market
23.1. South America Big Data and Analytics Market Overview
23.2. South America Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
23.3. South America Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
24. Brazil Big Data and Analytics Market
24.1. Brazil Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
24.2. Brazil Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
25. Middle East Big Data and Analytics Market
25.1. Middle East Big Data and Analytics Market Overview
25.2. Middle East Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
25.3. Middle East Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
26. Africa Big Data and Analytics Market
26.1. Africa Big Data and Analytics Market Overview
26.2. Africa Big Data and Analytics Market, Segmentation By Analytics Tools, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
26.3. Africa Big Data and Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
27. Big Data and Analytics Market Competitive Landscape And Company Profiles
27.1. Big Data and Analytics Market Competitive Landscape
27.2. Big Data and Analytics Market Company Profiles
27.2.1. IBM Corporation
27.2.1.1. Overview
27.2.1.2. Products and Services
27.2.1.3. Strategy
27.2.1.4. Financial Performance
27.2.2. Oracle Corporation
27.2.2.1. Overview
27.2.2.2. Products and Services
27.2.2.3. Strategy
27.2.2.4. Financial Performance
27.2.3. Microsoft Corporation
27.2.3.1. Overview
27.2.3.2. Products and Services
27.2.3.3. Strategy
27.2.3.4. Financial Performance
27.2.4. SAP SE
27.2.4.1. Overview
27.2.4.2. Products and Services
27.2.4.3. Strategy
27.2.4.4. Financial Performance
27.2.5. SAS Institute Inc.
27.2.5.1. Overview
27.2.5.2. Products and Services
27.2.5.3. Strategy
27.2.5.4. Financial Performance
28. Key Mergers And Acquisitions In The Big Data and Analytics Market
29. Big Data and Analytics Market Future Outlook and Potential Analysis
30. Appendix
30.1. Abbreviations
30.2. Currencies
30.3. Historic And Forecast Inflation Rates
30.4. Research Inquiries
30.5. About the Publisher
30.6. Copyright And Disclaimer
Executive Summary
Big Data and Analytics Global Market Report 2023 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on big data and analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
- Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
- Assess the Russia - Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
- Measure the impact of high global inflation on market growth.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
Scope
Markets Covered
1) By Analytics Tools: Dashboard & Data Visualization; Self-Service Tools; Data Mining & Warehousing; Reporting; Other Analytics Tools2) By Deployment Mode: On-Premise; Cloud
3) By End Use Industry: BFSI; Retail; Manufacturing; IT and Telecom; Government; Healthcare; Utility; Other End Use Industries
4) By Application: Customer Analytics; Supply Chain Analytics; Marketing Analytics; Pricing Analytics; Spatial Analytics; Workforce Analytics; Risk & Credit Analytics; Transportation Analytics; Other Applications
Companies Mentioned: IBM Corporation; Oracle Corporation; Microsoft Corporation; SAP SE; SAS Institute Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
A selection of companies mentioned in this report includes:
- IBM Corporation
- Oracle Corporation
- Microsoft Corporation
- SAP SE
- SAS Institute Inc.
- Teradata Corporation
- Accenture
- Salesforce
- IBM Corporation
- Cisco Systems
- Tableau Software
- Hewlett Packard Enterprise Development LP.
- Amazon Web Services,
- Dell Inc.
- Cloudera
- Musigma,
- Informatica
- Alpine Data Labs
- Alteryx
- Amazon Web Services
- BigML
- Cognonto Corp.
- Couchbase, Inc.
- Dataiku
Methodology
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