The amount of data storage required by companies is vast, and only going to continue to grow. Data warehouse storage options are one method of solving this ever-expanding problem. Just as their needs are increasing, the market is evolving rapidly. In order to stay on top of such a fast-paced market that touches dozens of industries, up-to-date info is essential.
That’s why we have compiled a list of the hottest data warehouse statistics for 2022 and beyond. We cover categories such as:
- Data Warehouse Market Scope and Scale
- Data Warehouse on The Cloud
- Data Warehouse Buying and Implementation
- Data Growth and Need
- Database Warehouse Concerns
Finally, we will explore three of the most important trends in the data warehouse sphere.
Top 24 Data Warehouse Statistics
Data Warehouse Market Scope and Scale
- The global data warehousing market size was valued at $21.18 billion in 2019. (Allied Market Research 2021)
- The global data warehousing market is projected to reach $51.18 billion by 2028. (Allied Market Research 2021)
- Data warehouse has the highest adoption of data solutions, used by 54% of organizations. (Flexera 2021)
- Data warehouse options are by far the most popular platform-as-a-service data solution for beginners, with 47% of organizations at that level using them. This beats the next highest option by 12 points. (Flexera 2021)
- Another 18% of organizations are experimenting with Data warehouse options, and an additional 15% are planning to use them. (Flexera 2021)
Data Warehouse on The Cloud
- As of 2022, over 60% of all corporate data is stored in the cloud. This is up from 30% in 2015. (Statistia 2022)
- 78% of IT executives stated that their organizations leverage distributed clouds. (Yellowbrick 2021)
- 54% of executives said that conventional cloud data warehouses are a key trend for 2021, 53% stated that hybrid or multi-cloud data warehouses are an important trend. (Yellowbrick 2021)
- Only 18% of IT executives stated that all of their data warehouses were on premises. (Yellowbrick 2021)
- 47% of IT executives noted that all of their data warehouses were in the public cloud. (Yellowbrick 2021)
Data Warehouse Buying and Implementation
- Data warehouse implementation generally takes around 6-9 months, and implies developing and deploying a data warehouse to gather and structure company’s data for analytical querying and reporting. (Sciencesoft 2022)
- Data warehouse implementation costs start at around $70,000. (Sciencesoft 2022)
- 36% of enterprises spend more than $12 million per year on public clouds. (Flexera 2021)
- A data warehouse implementation project, which involves developing a 10GB data warehouse with data integration and data cleansing processes, may vary from $225,000 to $485,000 (excluding software licensing and other regular fees). (Sciencesoft 2022)
- 76% of executives noted that they are investing more in 2021 in their analytics platforms. 35% stated they were investing a lot more in analytics infrastructure this year. (Yellowbrick 2021)
- Overall data warehouse performance (31%) as well as improved agility for faster innovation (29%) were the most common reasons for those who have moved or are moving to cloud-based systems. (Yellowbrick 2021)
- Data warehouse modernization (53%), followed by support for real-time analytics (49%) are the highest budget priorities for IT executives. (Yellowbrick 2021)
Database Warehouse Concerns
- 57% of IT executives who do not use cloud data warehouse options cite security concerns, the number 1 reason. (Yellowbrick 2021)
- Cost and performance were the 2nd and 3rd most common concerns, at 38% and 37% respectively. (Yellowbrick 2021)
- 52% of the IT executives identified the need for faster analytics. (Yellowbrick 2021)
- Security and slow data lake tools are the biggest concerns for IT executives, with 56% and 46% citing them as major concerns respectively. (Yellowbrick 2021)
Data Growth and Need
- From 2010 to 2020, the amount of data created, captured, copied, and consumed in the world increased from 1.2 trillion gigabytes to 59 trillion gigabytes, an almost 5,000% growth. (Forbes 2021)
- The volume of data storage units was anticipated to increase to 2.9 billion pieces in 2021. (Statista 2021)
- 90% of respondents who answered a question about COVID-19 expect cloud use to exceed plans due to the pandemic. (Flexera 2021)
Data Warehouse Trends for 2022 and Beyond
Data Warehouse Clouds’ Rise Continues
This one is such a massively reported trend that it almost feels like cheating to include it, but to not to would be ridiculous. The explosive, near exponential turn towards cloud-based offerings in many industries, is well-documented. Data warehouse is no different.
As previously mentioned, the proportion of data stored in the cloud has doubled in just 7 years! We expect this trend to continue until there are a few holdouts, for various reasons. Extremely security-conscious organizations may still prefer to have on-site hosting in the next few years, but the pandemic may a black swan for this. As more and more employees are remote, or otherwise spread out, cloud storage looks better and better.
The way that cloud storage is going to dominate is not set in stone. Some companies are using several warehouses at once, some with very different architecture: more to come on that. Software-as-a-service options are becoming more popular. Just like anything, as cloud service becomes more popular, we expect further segmentation and specialization in the market
While on-site storage offers physical peace of mind, it can be extremely limiting. In summary, the cloud is winning this fight, and is almost certain to get nearer and nearer to totality in the coming years.
Data Warehouse flexibility is expanding
While data warehouses are undeniably a brilliant option for many, their structures can be somewhat limiting. As mentioned, some companies are running into problems with having different architecture across multiple warehouse options.
The warehouses themselves are not the only thing to have problems with their differences. Far more professional uses of mobile devices and the Internet of Things are generating a plethora of different data types. Data warehouses are having to become more adaptable and more accepting to accommodate this diversity.
With the huge interconnectivity of devices and deluge of data comes further problems: scale. Simply, users will not want to pay 20x the cost for 20x the data as we all become more reliant on it. As a result, technology that keeps costs down must scale with our data requirements. Data compression tech is becoming more common and constantly improving, and can help with this.
The flexibility of data warehouses is a lagging trend we will see more of in the coming years. As the markets they serve continue to grow, data warehouses must remain adaptable to stay competitive. This is especially true for specific companies. Those that do not stay on the cutting edge of these innovations will find themselves obsolete.
Data Warehouses Touching more Areas, Industries
Some industries have been using massive amounts of data for decades now. Others are just starting to or scaling massively. With this, data warehouse options are reaching more people than ever.
One area this is especially true is in consumer experience and customer data. The sheer volume of data we have on our customers is greater than ever. Companies are also getting better at targeting larger, yet more segmented audiences.
This presents unique challenges and opportunities to the data warehouse market
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- 2021 State of the Cloud Report (Flexera 2021)
- 54 Predictions About The State Of Data In 2021 (Forbes 2021)
- Data Warehousing Market Insights – 2028 (Allied Market Research 2021)
- Key Trends in Hybrid, Multicloud and Distributed Cloud for 2021 (Yellowbrick 2021)
- The Gist of Data Warehouse (DWH) Implementation (Sciencesoft 2022)
- Data storage units volume worldwide from 2012 to 2025 (Statista 2021)
- Share of corporate data… (Statistia 2022)
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