Today data is everything. A business can easily fail without proper collection, management, and data application in decision-making processes. In the age of big data and business intelligence trends, every company needs tools and programs to organize, present, and store it, and a data warehouse is the right solution. It allows analysts to process and utilize data for strategic decision-making. Also, a warehouse collects data from all different sources and consolidates it. The selected data warehouse statistics in this article could help you understand better how these tools work and why your business needs them.
Data Warehouse Statistics (Editor’s Choice)
- The data warehousing market is set to grow at a 12% CAGR through 2025. (GMI)
- The unstructured data warehousing market is set to grow at a 10% CAGR between 2019 and 2025. (GMI)
- North America will dominate the data warehousing market by 2025, with a 40% share. (Globe Newswire)
- Snowflake, with a 19.24% market share, is the number one data warehouse technology. (Datanyze)
- 47% of IT managers claim that all their data warehouses are in the public cloud. (Yellowbrick)
- Overall performance is the number one reason for 31% of respondents moving their data warehouse to the cloud. (Yellowbrick)
- 53% of IT leaders believe that multi-cloud and hybrid data warehouse solutions are some of the most important trends. (Finance Yahoo)
- 37% of companies have a single, centralized data warehouse. (Yellowbrick)
Data Warehousing Market Size
1. The data warehousing market is set to grow at a 12% CAGR through 2025.
For reference, the market was worth $13 billion in 2018, data warehouse statistics show. If this predicted growth comes through in 2025, the market value is expected to rise to $30 billion. This particular growth can be attributed to the companies generating an increasing amount of data and the rise of business intelligence. This tremendous data growth pushes companies to relieve the pressure from their resources by adopting flexible data warehouse solutions.
(GMI)
2. The unstructured data warehousing market is set to grow at a 10% CAGR between 2019 and 2025.
Data not associated with a recognizable model is often referred to as unstructured data. This is because it contains text-rich info and doesn’t come pre-organized in any format. The potential presence of vital information in this sort of data is driving the growth of the market for unstructured data warehouses, statistics reveal.
(GMI)
3. Cloud solutions for data warehouses are estimated to grow at a 15% CAGR over the next few years.
Cloud data warehouse solutions are becoming extremely popular due to their flexibility and scalability. Aside from this, one of the main reasons is the low cost. Storing data on physical hardware is expensive, while cloud warehouses fulfill as many computing needs as required, making them extremely cost-effective. Also, cloud data warehousing provides unlimited storage, multiple types of data support, flexible pricing, and many other facilities.
(GMI)
4. Asia-Pacific’s big data analytics solutions revenue is expected to increase by $41.9 billion through 2024.
In line with data warehouse statistics, the big analytics market in Asia-Pacific comprising various analytical tools was set to grow to $22.6 billion in 2020. One of the main drivers was the rising confidence of decision-makers in the solutions’ potential to protect the business during COVID-19. In fact, 74% of businesses plan to keep investing in BDA solutions in the near future.
(IDC)
Learn more: Big Data Companies
5. North America will dominate the data warehousing market by 2025, with a 40% share.
According to recent research, the high adoption of robust ICT infrastructure, cloud services, and the rising popularity of data analytics and business intelligence make the market in North America dominant on a global scale. As a result, most enterprises are migrating from traditional data warehouses to cloud solutions, increasing scalability and reducing costs in the process. Similarly, as data warehouse statistics show, companies operating in this segment are competing to offer new services and products and gain a more significant data warehousing market share.
(Globe Newswire)
6. RStudio, Python, SAS, and Azure ML Studio will comprise over 25% of the data warehousing market by 2025.
Many organizations are adopting new tools for consumer profiling, website optimization, and fraud detection, all of which affected the rise of data mining. Some providers already benefit from the growing demand and are bound to account for one-quarter of the total market share by 2025.
(GMI)
7. The data warehousing market industry worldwide comprises over 37,000 companies.
Many companies handle big data; however, few contribute actively to the global data warehouse market. Namely, the global data warehousing market comprises 37,708 companies, of which 39 produce these technologies. For reference, there are over 64 tools and technologies in the market, data warehouse statistics show.
(Datanyze)
8. Snowflake, with a 19.24% market share, is the number one data warehouse technology.
Based on the statistics of the industry, data warehouses come in different shapes and forms. One of the most popular technologies is Snowflake, the market leader with 3,578 domains. Next on the list is SAP Business Warehouse, with 2,182 domains and a 12.45% market share, followed by Amazon Redshift with a 9.89% market share and 1,734 domains. Apache Hive (1,661 domains) is next with a 9.47% market share. Finally, there is IBM Netezza DataWarehouse Appliances (967 domains) with a 5.52% market share.
(Datanyze)
General Data Warehouse Statistics
9. Driving process and cost efficiency are the top reasons for using data analytics, with 60%.
According to a recent survey conducted in five countries, process improvement and cost reduction are the top reasons for using data analytics. Other than that, most users cited driving strategy and change (57%). Finally, the third most common use of data analytics is monitoring and improving financial performance (52%).
(Talend)
10. Only 28% of Fortune 500 organizations have created a data culture.
Even though almost all Fortune 500 (92%) executives have increased investments in AI and big data, not many companies managed to create a data-driven organization. Namely, 55% of these companies are spending over $50 million on AI and big data investments, and 62% are seeing measurable results. However, only 31% have a data-driven organization, data warehouse statistics indicate.
(eWeek)
11. 47% of IT managers claim that all of their data warehouses are in the public cloud.
Using the cloud for data warehouses is growing in popularity due to its cost-effectiveness and flexibility. However, only 18% of respondents stated that all of their data warehouses were physically on the premises. Only several years ago, this number was much higher. Today, many opt for fully cloud data warehouses, and 35% of respondents reported a mixture of on-premise and public cloud data warehouses.
(Yellowbrick)
12. Almost every cloud data warehouse back-ups automatically, resulting in 99.99% of data availability and fault tolerance.
It’s only one of the benefits of the cloud warehousing model. Others include scalability and flexibility that allow easy adaptation to the changing amounts of data. Yet, the overall performance of the data warehouse is not affected by the changing volume of data. Moreover, cloud solutions have flexible pricing, data warehouse statistics indicate.
(Science Soft)
13. Overall performance is the number one reason for 31% of respondents moving their data warehouse to the cloud.
In line with trends in data warehouse tech, most companies decide to migrate their data to the cloud for several important reasons. Aside from costs, the overall warehouse performance plays a vital role for 31% of them. Other than that, 29% of the respondents named agility for faster innovation as the noteworthy driver.
(Yellowbrick)
14. 53% of IT leaders believe multi-cloud and hybrid data warehouse solutions are one of the most important trends.
Most IT leaders prefer high-performing data warehouses; hence, they mostly opt for hybrid or multi-cloud solutions. Moreover, they believe it is one of the most significant trends to follow, data warehouse statistics indicate. Other than that, 48% of IT leaders believe real-time analytics is another trend to monitor, while 28% cited edge analytics support for IoT, and mobile.
(YellowBrick)
15. 76% of IT managers claim that their companies are investing more in analytics infrastructure since the pandemic.
A recent survey indicates that an overwhelming number of companies realized the importance of analytics. Hence, most IT managers speak in unison when they say that their organization will continue investing even more in different data platforms, including data warehouses. For instance, 35% said they invested a lot more in analytics infrastructure in 2021, while 41% invested somewhat more. Just 17% reported no change.
(Yellowbrick)
16. 31% of organizations hope to scale easily to support more users and data from their analytics investments.
Aside from this, data warehouse statistics show that another key reason for companies investing in infrastructure changes is to support processing in the cloud, on-premises, and at the edge in an integrated way (28%). Moreover, reasons include processing real-time data with ease (17%), cheaper and easier data management (13%), and reduced query latency (11%).
(Yellowbrick)
17. Modernization of their data warehouses was the number one IT budget-related priority in 2021 for 53% of IT executives.
Modernization was the highest analytics-related priority for most organizations spending the IT budget in 2021. The next item that most IT executives (49%) named was real-time analytics. Other important priorities include getting more value from the data lakes, IoT analytics, and AI/ML automation.
(Yellowbrick)
18. According to 56% of IT managers, security is one of the serious issues when relying on data lakes.
Data warehouse statistics demonstrate that although some trends in the data warehouse industry speak in favor of the data lake approach, it comes with some drawbacks. Judging by over half of the respondents to a recent survey, queries are too slow (46%), and there are metadata and governance issues, too (36%). Ultimately, they are simply too hard to manage (24%) and unreliable (2%).
(Yellowbrick)
19. 97% of respondents are actively working to improve the performance of data lake analytics.
Data lakes act as reservoirs for unstructured or semi-structured data. Since the beginning of the pandemic, most organizations have invested a lot of money in data lakes and data warehouse modernization. This trend is bound to continue, judging by the latest findings.
(Business Wire)
20. 37% of companies have a single, centralized data warehouse.
Data warehouse statistics suggest that not many companies use centralized data warehouses. In fact, 37% of executives responded that they have multiple data warehouses with data marts that are not connected. Likewise, 26% have data warehouses with connected data marts. This translates into 63% of respondents using multiple data warehouses.
(Yellowbrick)
21. For 57% of organizations, security is the biggest obstacle preventing data warehouse migration to the cloud.
Security might be the reason in most cases, yet several other reasons trouble organizations when deciding to move to the cloud. For example, unpredictable costs are the hurdle in 38% of cases. In addition, for 37% of organizations, cloud data warehouses don’t meet the performance requirements, while 32% have legal or governmental obstacles that don’t allow them to move to the cloud.
(Yellowbrick)
22. 52% of surveyed respondents said that faster analytics processing is the top item on their data warehousing roadmap.
According to data warehouse statistics, most organizations listed speed improvement as one of the future developments on the roadmap for data warehouses.
(G2)
23. For 39% of companies, real-time analytics represent the possibility to query data in motion and data at rest.
Real-time data feeds are becoming practically endless. Namely, all data from retail transactions, manufacturing equipment, fraud analysis, healthcare data, and many others are classified as real-time data feeds. Most organizations consider real-data analytics as the potential for querying data in motion and data at rest. Further, it ensures a report or query that executes fast for 32% of respondents, while for 29%, it’s the ability to query from disparate sources.
(Yellowbrick)
The Bottom Line
More and more companies are investing in a data warehouse, statistics confirm. It’s no wonder, considering these solutions' vast benefits. Aside from giving an edge to your company over the competition, data helps you make smart and informed decisions. It allows you to monitor and get to know your customers and their habits — what they like and don’t like. Only then can you hope to maximize your offer's efficiency and conversion rates.
