51 Essential Business Intelligence Statistics: 2021/2022 Analysis of Trends, Data and Market Share

A new version of this article, featuring the latest data and statistics is available. Check out our report on Business Intelligence Software Statistics for 2022.

Businesses nowadays have access to stockpiles of data that were not readily available before. Luckily, technology now offers a powerful way of making sense of what these data points suggest and convert them into insights and workable business intelligence KPIs that companies can use when making decisions in actual business situations. Using analytical features, business intelligence tools dig deep into data sets to derive relevant information about everything — from driving revenues with sales intelligence to leveling up human resources with analytics, to framing strategic plans for possible business expansion.

We’ve prepared this compelling collection of business intelligence software statistics and trends to keep you informed and updated on this software category’s current and upcoming directions, which could prove crucial to how you leverage business intelligence tools to grow your business.

key business intelligence statistics

1. Business Intelligence Market Share & Size

From their initial versions called decision support systems (DSS) that first came out in the 1960s, business intelligence tools had undergone far longer and more extension developments compared to other software technologies today. As more and more businesses discover the value, benefits, and vast applications of the best business intelligence solutions to every facet of their operations, it is very likely that the current business intelligence software market size is bound to further grow exponentially in the coming years.

  • The global business intelligence market is predicted to expand from $23.1 billion in 2020 to reach $33.3 billion by 2025, with a 7.6% CAGR. (MarketsandMarkets, 2020)
  • Meanwhile, the global mobile business intelligence market was valued at $8.8 billion in 2020 and is expected to reach $29.6 billion by 2027, at an 18.9% CAGR. (Global Industry Analysts Inc, 2021)
  • More than 46% of small businesses use business intelligence tools’ virtual networking features as a core element of their business strategy. (Grand View Research, 2019)
  • Together with analytics tools, the worldwide business intelligence software market is projected to reach $17.6 billion by 2024. (Apps Run the World, 2020)
  • When combined with big data, the worldwide business intelligence and analytics software market was valued at $193.14 billion in 2019 and is predicted to reach $420.98 billion by 2027, growing at a projected CAGR of 10.9% from 2020 to 2027. (Allied Market Research, 2020)
  • The global server market for HPDA, or high-performance data analytics—a close relative of business intelligence—will grow at a CAGR of  21.8%, reaching $193 billion in 2027 from $48.6 billion in 2020. (Global Industry Analysts, Inc, 2020)
  • As of 2020, the global BI adoption rate was 26%. (360Suite, 2019)
  • The fastest-growing segment is cloud analytics, which is expected to grow at a CAGR of 23.0%, expanding from $23.2 billion in 2020 to $65.4 billion by 2025. (MarketsandMarkets, 2020)
  • In 2019, SAS Institute was the top business intelligence software, controlling 11.4% of the global market. It was followed by SAP on the second spot. The third to fifth places belong to Salesforce, Microsoft, and IBM, respectively. (Apps Run the World, 2020)
  • About 62.5% of the 2019 business intelligence and analytics software market worldwide were controlled by the top 10 business intelligence software vendors, which had a combined revenue of almost $14.9 billion. (Apps Run the World, 2020)

BI market size

Key to the continuing expansion of business intelligence software market share is the rising number of affordable business intelligence software for small businesses and startups. Small companies are integrating BI into their business strategy, primarily through SaaS. The market is expected to see increased demand for virtual business intelligence software owing to its cost-effectiveness and efficient delivery methods.

2. Business Intelligence Adoption & Uses

For years, results of many business intelligence software research consistently include BI software as among the top IT priorities of businesses, especially among CIOs. From the many business intelligence software facts we continuously collect, the following are deemed as most relevant to you as business owners:

  • In 2020, 54% of enterprises say Cloud BI is either critical or very important to their ongoing and future initiatives. (Dresner, 2020)
  • Companies with CEOs that spearhead data-driven decisions are 77% more likely to achieve business goals. They are also 59% more likely to derive actionable insights from analytics results. (Deloitte, 2019)
  • Microsoft Azure is the most preferred cloud BI provider by enterprises as of 2020. 77% of users considered it as either critical or very important to their operations. Microsoft Azure is followed by Amazon Web Services and Google Cloud, with 66% and 41% of users finding them critical or very important to their business, respectively. (Dresner, 2020)
  • In 2020, the cloud BI adoption rate is highest in the manufacturing industry at 58%, followed by financial services and business services at 40%. (Dresner, 2020)
  • As of 2020, the number of organizations that consider data management as a business asset is up to 50% from 46.9% in 2019. (NewVantage Partners, 2020)
  • Based on a study of organizations with $100 million or more in annual revenue, the industries that place the highest importance on mobile business analytics applications and platforms are hospitality (58%) and telecommunications (56%). (MicroStrategy, 2020)
  • In 2019, 64% of users reported that BI data and analytics helped improve their efficiency and productivity.  Meanwhile, 56% believe it has allowed them to make more effective decisions faster and 51% think it has led to better financial performance. (MicroStrategy, 2020)
  • 72% of enterprise BI software vendors describe cloud BI as critical to their go-to-market strategies, an eventual response to the steady growth in public cloud BI application deployments in the last several years. (Dresner, 2020)
  • Almost half of companies today (45%) are utilizing some form of big data in the cloud. (ZDNet, 2019)
  • In a survey, for every 10 enterprise business intelligence system rollouts, one typically takes a year or more to complete. On the contrary, SMBs only take one to three months to do so. (, 2021)
  • In 2020, operations, finance, and executive management were the top three functions that drive business intelligence adoption. (Dresner, 2020)
  • Reporting, dashboards, data integration, data warehousing, and data preparation are the top five most important technologies and initiatives strategic to BI. (Dresner, 2020)
  • The total enterprise data volume worldwide is estimated to increase two-fold from 2020 to 2022. (Seagate, 2020)
  • Less than 20% of organizations report having a chief data officer (CDO) while fewer than 15% report having a chief analytics officer (CAO). However, CAOs are considered more successful at BI adoption compared to CDOs. (Dresner, 2020)
  • 72.1% of firms report that they have yet to fill the CDO/CAO role. Furthermore, 48.5% of organizations favor outside change agents over internal veterans. (NewVantage Partners, 2020)
  • North America is the leading region in the global embedded business intelligence software market due to the rising implementation and demand for BI analytics tools among large enterprises. (Kenneth Research, 2021)
  • Despite the benefits, business adoption of big data is still a struggle, with 73.4% of organizations seeing it as an ongoing challenge. In line with this, only 37.8% of firms report creating a data-driven organization while only 26.8% consider themselves successful at building a data culture. (NewVantage Partners, 2020)

Business Intelligence Adoption (2020)

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Source: NewVantage Partners

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For recent and upcoming years, the expansion of the business intelligence software market will be driven primarily by the increasing adoption of data analytics, the rising popularity of the cloud delivery approach, and the massive volume of business data. More than ever, organizations need to understand the fundamentals of business intelligence software to stay competitive.

Most Popular Business Intelligence Software

  1. Sisense. This software comes with its own in-chip engine and amazing breadth of data visualization, making it our top business intelligence platform. Take a gander with our Sisense review.
  2. Looker. With a proprietary LookML engine, Looker uses a unique data modeling approach for business intelligence. You can learn more about it when you read our Looker review.
  3. Periscope Data. The solution is known for its interactive dashboard where you can process all your data and perform predictive analytics. Let us walk you through its other features in our Periscope Data review.
  4. ReportPlus. This app can visualize data, making gleaning insight from relevant metrics effortless. Read our ReportPlus review here.
  5. Qlikview. With its exclusive Associative Data Indexing Engine, Qlikview allows you to create guided analytics applications and dashboards. See how it works in our Qlikview review.

3. Business Intelligence Software Economic Impact

Business intelligence platforms are also known to make a company more customer-oriented, agile, and competitive. Together with today’s new genre of lighter, easier-to-use, and faster BI apps, business intelligence has become a must-have business tool, already similar to other systems like CRM platforms.

  • Based on the analysis of Forrester consultant Michael Speyer, an organization that implements a BI solution can experience a 127% return on investment (ROI) in just three years. (Tableau)
  • Upon implementation, business analytics results in an average ROI increase over five years, with an average payback of 1.6 years for every $4.5 million spent. (Morris et al., 2003)
  • For 2019, 91.6% of global companies are increasing their investments in big data and AI. In 2020, the pace of investment has leveled off, with only 51.9% of firms accelerating their rate of investment. (NewVantage Partners, 2020)
  • Poor data quality costs the US economy around $3.1 trillion annually. (IBM, 2020)
  • Business intelligence, big data, and analytics are among the top disruptive technologies Global 2000 organizations are employing to drive success. (TCS, 2014)
  • A more recent disruptor is digital twins, which are virtual replicas of your equipment and devices so that you can run simulations before a physical prototype is even built. The market for this technology is estimated to exceed $35 billion by 2026. (Global Market Insights, 2020)
  • All previously on-premise-only BI vendors now offer cloud BI deployment options, but not all these vendors are offering on-premise deployment. (Forrester, 2019)
  • As of 2020, the United States has a shortage of 250,000 people with analytical data skills. (QuantHub, 2020)
  • 46% of CIOs suffered from a skills shortage, followed by a shortage of AI skills (38%.) (KPMG, 2019)
  • According to the US Bureau of Labor Statistics, around 11.5 million data scientist jobs will be created by 2026. (Data Flair, 2019)
  • 59% of all data science and analytics (DSA) job demand is in finance and insurance, professional services, and IT. (IBM, 2021)
  • Demand for data engineers is projected to grow at a rate of 50% annually. (Dice, 2020)
  • DSA jobs remain open for an average of 45 days, five days longer than the market average. (Burning Glass, 2017)
  • It takes 53 days to fill the position of an analytics manager in professional services, making this position one of the most difficult to fill up. (Burning Glass, 2017)
  • Demand for data engineers was seen to rise at a respectable rate of 45% in 2020. (Hired, 2020)
  • The demand for data science and machine learning jobs will grow by 38% and 37% over the next decade, respectively. (Dice, 2020)
  • Data engineers in the San Francisco Bay Area job market enjoyed a 6% salary boost or an average of $160,000 per year as of 2019. (Hired, 2020)


Compared to other apps, business intelligence tools have the capability to boost revenue growth and help improve profit margins, which is why it is regularly included in most IT spending priorities, just like business-critical solutions such as ERP software.

4. Business Intelligence Trends & Predictions

The use of BI software to process big data continues to be a major focus among vendors and users. The future of big data and IoT is one of the major factors that drive the use of the cloud in accessing BI and analytics. Likewise, as more work continues to be done outside the ‘traditional’ workplace, the global demand for mobile business intelligence capabilities continues to rise, as most studies indicate. Here are some key business intelligence software trends that businesses must consider:

  • Post COVID-19, it’s expected that 95% or more of enterprise software vendors will consider Cloud BI as a must-have, as every organization is now a distributed one. (Dresner, 2020)
  • For 2019, the three most important business intelligence software trends stayed the same as the previous year, with data quality management and master data still on top, followed by data discovery, and self-service BI. (, 2021)
  • Data/analytics, cloud, and IoT are predicted to have the biggest impact on businesses over the next three to five years. (IDG, 2018)
  • As deep learning technologies continue to find wider business use, their business intelligence applications will focus more on machine translation and image recognition. (, 2020)
  • As business intelligence solutions further evolve, dashboards continue to be deconstructed, becoming an assembly of building components, which, by itself, is far greater than the entire BI structure. (BARC, 2019)
  • AI will be the new BI. (Eckerson Group, 2018)
  • By 2020, most D&A use cases will require connecting to distributed data sources, leading enterprises to double their investments in metadata management. (Qlik, 2018)
  • Only 23% of respondents who purchased BI within the last two years cited “fast query performance” as a reason to buy, versus 31% of respondents who bought more than two years ago. (, 2021)

Top IaaS Preferred by BI Vendors (2020)

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Source: Dresner Advisory Services, LLC

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With the increasing intricacy of the business intelligence landscape, knowing and understanding current market developments and upcoming trends are necessary to support efficient decision-making in business. It is becoming more crucial to adopt the latest best practices and trends in business intelligence to better address the demands of business digitalization and competition.

Statistics useful when searching for a BI tool

In general, the purpose of business intelligence to businesses is to give them a competitive advantage. It should provide them with an improved understanding of the various factors that influence market trends and help businesses to take timely, knowledge-based actions to outperform competitors and better serve customers. If your business has enormous volumes of customer data but is still not using BI to improve performance and profits, you will find that business intelligence is extremely useful.



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James Anthony

By James Anthony

A senior FinancesOnline writer on SaaS and B2B topics, James Anthony passion is keeping abreast of the industry’s cutting-edge practices (other than writing personal blog posts on why Firefly needs to be renewed). He has written extensively on these two subjects, being a firm believer in SaaS to PaaS migration and how this inevitable transition would impact economies of scale. With reviews and analyses spanning a breadth of topics from software to learning models, James is one of FinancesOnline’s most creative resources on and off the office.

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