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51 Essential Business Intelligence Statistics: 2020 Analysis of Trends, Data and Market Share

Category: B2B News

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 of 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 $15.64 billion in 2016 to reach $29.48 billion by 2022, with 11.1% CAGR. [1]
  • Meanwhile, the global mobile business intelligence market was valued at $4.103 million in 2016 and is expected to reach $16 billion by 2023, at a 21.6% CAGR. [2]
  • More than 46% of small businesses use business intelligence tools’ virtual networking features as a core element of their business strategy. [3]
  • Together with analytics tools, the worldwide business intelligence software market is projected to reach $26.78 billion by 2020. [4]
  • When combined with big data, the worldwide business intelligence and analytics software market is valued at $54.1 billion and is predicted to grow 11.2% CAGR until 2022. [5]
  • The global server market for HPDA, or high-performance data analysis—a close relative of business intelligence—will grow at a CAGR of  24.6%, reaching $132.8 billion in 2019. [6]
  • In 2017, the mobile business intelligence market was seen to grow from $5.03 billion in 2017 to $17.02 billion by 2023, with an expected CAGR of 22.37%. [7]
  • In 2018, cloud BI adoption nearly doubled compared to 2016 levels. [8] [9]
  • The fastest-growing segment is cloud-based business intelligence, which has grown almost four times from $750 million in 2013 to $2.94 billion in 2018, at a 31% CAGR. [10]
  • In 2018, SAS Institute was the top business intelligence software, controlling 14.5% of the global market, mainly due to an approximately 3% rise in subscription, maintenance, and license profits. It was followed by SAP on the second spot. Third to fifth places belong to IBM, Microsoft, and Tableau BI platforms, respectively. [11]
  • In 2017, almost 70% of the business intelligence and analytics software market worldwide were controlled by the top 10 business intelligence software vendors, which had combined revenue of almost $12.3 billion. [11]

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:

  • Companies in the top three spots in their industry that rely on data-driven decision making were, on average, 5% more productive and 6% profitable than their competitors. [12]
  • 86% of Cloud BI adopters named Amazon AWS followed by 82% for Microsoft Azure, 66% for Google Cloud, and 36% for IBM Bluemix as their preferred provider of cloud BI services. [8] [9]
  • Walmart processes more than a million customer transactions hourly and stores 2.5 petabytes of customer data. [13]
  • In 2018, small organizations with up to 100 employees showed the highest rate of BI penetration or adoption. [8] [9]
  • 37% of Asia Pacific manufacturers rely on business intelligence. [14]
  • In 2018, over 90% of sales and marketing teams said that cloud BI is essential for getting their work done, leading all categories in the survey. [8] [9]
  • 87 percent of organizations have low BI and analytics maturity. [15]
  • In 2018, 50% of vendors offered perpetual on-premises licensing, a prominent decline over 2017. The number of vendors offering subscription licensing continues to grow for both on-premises and public cloud models. [8] [9]
  • 89% of business leaders believe that big data will revolutionize business operations, just like the Internet did, making investments in business intelligence critical to process this vast volume of data. [16]
  • In a survey, for every ten 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. [17]
  • In 2018, executive management was the leading driver for business intelligence adoption, replacing operations, which was the leading driver in 2016 and 2017. [8] [9]
  • In 2018, dashboards, reporting, end-user self-service, advanced visualization, and data warehousing are the top five most important technologies and initiatives strategic to BI. [8] [9]
  • The total volume of data gathered by businesses across the world is estimated to increase two-fold every 1.2 years. [18]
  • CMOs are almost twice likely to spearhead digital transformation in an organization compared to CIOs. [19]
  • North America is predicted to be the largest business intelligence software market based on adoption and spending rates. [4]
  • 83% find cloud business intelligence solutions to provide faster implementation (vs. on-premise apps); less than one-third of cloud business intelligence users say they exceeded implementation budget (around 50% of on-premise users); almost 60% of users find cloud business intelligence applications to be easier to use and need lesser training (only 44% for on-premise users); above 50% say that more employees use and access cloud-based business intelligence (only 17% for on-premise BI). [20]
  • Fewer than 15% of respondent organizations have a chief data officer, and only about 10% have a chief analytics officer today. [8] [9]

Business Intelligence Adoption (2019)

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Source: Aptude

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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.

  • Upon implementation, business analytics results in an average ROI increase over 5 years, with an average payback of 1.6 years for every $4.5 million spent. [21]
  • For 2019, 91.6% of global companies are increasing their investments in big data and AI. [22]
  • Poor data quality costs the US economy around $3.1 trillion annually. [23]
  • Business intelligence, big data, and analytics are among the top disruptive technologies Global 2000 organizations are employing to drive success. [24]
  • All previously on-premise-only BI vendors now offer cloud BI deployment options, but not all these vendors are offering on-premise deployment. [25]
  • The United States faces a shortage of 190,000 people with analytical data skills. [26]
  • 46% of CIOs suffered from a skills shortage, followed by a shortage of AI skills (38%.) [27]
  • By 2020, the number of job profiles will increase from 364,000 openings to 2,720,000. [28]
  • 59% of all data science and analytics (DSA) job demand is in finance and insurance, professional services, and IT. [29]
  • Demand for both data scientists and data engineers is projected to grow by 39%. [29]
  • DSA jobs remain open for an average of 45 days, five days longer than the market average. [29]
  • 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. [29]
  • Annual demand for data scientists, developers, and engineers will reach 700,000 openings by 2020. [29]
  • Entry-level and advanced business analysts will see a demand surge by 28% by the year 2020. [29]
  • Jobs for machine learning skills pay an average of $114,000; advertised data scientist jobs pay an average of $105,000 and advertise data engineering jobs pay an average of $117,000. [29]

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:

  • By 2021, conversational analytics and natural language processing (NLP) will boost analytics and BI adoption from 32% to over 50% of an organization’s employees, to include new classes of users, particularly in front offices. [34]
  • 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. [30]
  • Data/analytics, cloud, and IoT are predicted to have the biggest impact on businesses over the next 3 to 5 years. [19]
  • As deep learning technologies continue to find wider business use, their business intelligence applications will focus more on machine translation and image recognition. [31]
  • 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. [32]
  • AI will be the new BI. [33]
  • By 2020, most D&A use cases will require connecting to distributed data sources, leading enterprises to double their investments in metadata management.
  • 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. [30]
  • Through 2028, storage, computing, and advanced AI and analytics technologies will expand the capabilities of edge devices.

Top IaaS Preferred by BI Vendors (2019)

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Source: Dresner Advisory Services

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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.



  1. ^Business Intelligence (BI) – Global Market Outlook (2016-2022)
  2. ^Mobile BI Market Overview
  3. ^Business Intelligence Software Market Size, Share & Trends Analysis Report
  4. ^Business Intelligence and Analytics Software Market worth $26.78 Billion by 2020
  5. ^Worldwide Big Data and Analytics Software Forecast, 2018–2022
  6. ^High Performance Data Analytics
  8. ^2019 Wisdom of Crowds Business Intelligence Market Study Report
  10. ^Business Intellegence Report
  11. ^Top 10 Analytics and BI Software Vendors, Market Size and Market Forecast 2018-2023
  12. ^How Does Data-Driven Decisionmaking Affect Firm Performance?
  13. ^Big Data Meets Big Data Analytics
  14. ^Roundup Of Analytics, Big Data & Business Intelligence Forecasts And Market Estimates, 2015
  15. ^Gartner Data Shows 87 Percent of Organizations Have Low BI and Analytics Maturity
  16. ^Big Success With Big Data Executive Summary
  17. ^Planning and Anticipating Problems in Business Intelligence Projects
  18. ^IBM Big Data Marketing
  19. ^CIO Tech Poll: Tech Priorities 2018
  20. ^New Survey Results Show Cloud-based BI Satisfaction Outpaces On-Premise BI
  21. ^The Financial Impact of Business Analytics
  22. ^Big Data and AI Executive Survey 2019
  23. ^Extracting business value from the 4 V’s of big data
  24. ^The Road to Reimagination: The State and High Stakes of Digital Initiatives
  25. ^Forrester’s 2019 Business Intelligence Vendor Landscape
  26. ^Big data: The next frontier for innovation, competition, and productivity
  27. ^Tech Spending Outside IT Departments Creates Opportunities, but Opens Door to Potential Security & Consumer Trust Risks
  29. ^Data science
  30. ^Top Business Intelligence Trends 2020
  31. ^Mobile Business Intelligence: What it is and how it works
  32. ^BI Trend Monitor 2019
  33. ^AI: The New BI
  34. ^Gartner Top 10 Data and Analytics Trends


Louie Andre

By Louie Andre

B2B & SaaS market analyst and senior writer for FinancesOnline. He is most interested in project management solutions, believing all businesses are a work in progress. From pitch deck to exit strategy, he is no stranger to project business hiccups and essentials. He has been involved in a few internet startups including a digital route planner for a triple A affiliate. His advice to vendors and users alike? "Think of benefits, not features."

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