Embedded Business Intelligence Statistics 2024 – Everything You Need to Know

Are you looking to add Embedded Business Intelligence to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Embedded Business Intelligence statistics of 2024.

My team and I scanned the entire web and collected all the most useful Embedded Business Intelligence stats on this page. You don’t need to check any other resource on the web for any Embedded Business Intelligence statistics. All are here only 🙂

How much of an impact will Embedded Business Intelligence have on your day-to-day? or the day-to-day of your business? Should you invest in Embedded Business Intelligence? We will answer all your Embedded Business Intelligence related questions here.

Please read the page carefully and don’t miss any word. 🙂

Best Embedded Business Intelligence Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 58 Embedded Business Intelligence Statistics on this page 🙂

Embedded Business Intelligence Benefits Statistics

  • Despite the benefits, business adoption of big data is still a struggle, with 73.4% of organizations seeing it as an ongoing challenge. [0]

Embedded Business Intelligence Market Statistics

  • 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. [0]
  • 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. [0]
  • 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. [0]
  • 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. [0]
  • SAS Institute 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. [0]
  • 72% of enterprise BI software vendors describe cloud BI as critical to their goto market strategies, an eventual response to the steady growth in public cloud BI application deployments in the last several years. [0]
  • The market for this technology is estimated to exceed $35 billion by 2026. [0]
  • 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. [0]
  • In fact, according to Allied Market research, the embedded analytics market is projected to reach $77.52 BN by 2026, with a CAGR of 13.6% from 2017, and this is one of the business analytics topics we will hear even more in 2024. [1]
  • The company’s experiments in the Australian market have rendered it capable of identifying up to 24% of all Australian users who will close their accounts within four months. [2]

Embedded Business Intelligence Software Statistics

  • 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. [0]
  • SAS Institute 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. [0]
  • 72% of enterprise BI software vendors describe cloud BI as critical to their goto market strategies, an eventual response to the steady growth in public cloud BI application deployments in the last several years. [0]
  • Post COVID19, 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. [0]

Embedded Business Intelligence Adoption Statistics

  • As of 2020, the global BI adoption rate was 26%. [0]
  • In 2020, the cloud BI adoption rate is highest in the manufacturing industry at 58%, followed by financial services and business services at 40%. [0]
  • Despite the benefits, business adoption of big data is still a struggle, with 73.4% of organizations seeing it as an ongoing challenge. [0]

Embedded Business Intelligence Latest Statistics

  • More than 46% of small businesses use business intelligence tools’ virtual networking features as a core element of their business strategy. [0]
  • 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. [0]
  • In 2020, 54% of enterprises say Cloud BI is either critical or very important to their ongoing and future initiatives. [0]
  • Companies with CEOs that spearhead data driven decisions are 77% more likely to achieve business goals. [0]
  • They are also 59% more likely to derive actionable insights from analytics results. [0]
  • 77% of users considered it as either critical or very important to their operations. [0]
  • 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. [0]
  • As of 2020, the number of organizations that consider data management as a business asset is up to 50% from 46.9% in 2019. [0]
  • 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%). [0]
  • In 2019, 64% of users reported that BI data and analytics helped improve their efficiency and productivity. [0]
  • Meanwhile, 56% believe it has allowed them to make more effective decisions faster and 51% think it has led to better financial performance. [0]
  • Almost half of companies today (45%). [0]
  • The total enterprise data volume worldwide is estimated to increase two fold from 2020 to 2024. [0]
  • Less than 20% of organizations report having a chief data officer while fewer than 15% report having a chief analytics officer. [0]
  • 72.1% of firms report that they have yet to fill the CDO/CAO role. [0]
  • Furthermore, 48.5% of organizations favor outside change agents over internal veterans. [0]
  • 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. [0]
  • Based on the analysis of Forrester consultant Michael Speyer, an organization that implements a BI solution can experience a 127% return on investment in just three years. [0]
  • For 2019, 91.6% of global companies are increasing their investments in big data and AI. [0]
  • In 2020, the pace of investment has leveled off, with only 51.9% of firms accelerating their rate of investment. [0]
  • 46% of CIOs suffered from a skills shortage, followed by a shortage of AI skills (38%.). [0]
  • According to the US Bureau of Labor Statistics, around 11.5 million data scientist jobs will be created by 2026. [0]
  • Demand for data engineers is projected to grow at a rate of 50% annually. [0]
  • Demand for data engineers was seen to rise at a respectable rate of 45% in 2020. [0]
  • The demand for data science and machine learning jobs will grow by 38% and 37% over the next decade, respectively. [0]
  • 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. [0]
  • It’s estimated that employees lose up to 10% of their time on task switching, and that includes switching between applications. [3]
  • Here’s an example according to an IcCube survey, over the past four years, only one icCube customer has continuously run the same version they initially launched with in a 24/7 production environment without installing any updates. [3]
  • Keep in mind that this isn’t a surefire way to determine the quality of vendors — in one survey pool, 95 percent of people who had a bad experience with a company told someone else about their experience, versus 87 percent of those who had good experiences. [3]
  • According to Gartner’s Data and Analytics research for 2021, with COVID19 completely changing the business landscape, historical data will no longer be the main driver of AI. [1]
  • According to the 2021 KPMG CEO Outlook Pulse survey, the cyber security risk is the greatest threat for CEO’s in the next 3 years. [1]
  • As seen in the graph below it increased from 10% in 2020 to 18% in 2021. [1]
  • One of the cybersecurity predictions for 2021 2024 from Gartner stated that by the end of 2024, organizations adopting cybersecurity mesh architecture will reduce the financial impact of security incidents by around 90%. [1]
  • According to Gartner, poor data literacy is listed as the second biggest roadblock to the success of the CDO’s office, and it adds that by 2024 data literacy will become essential in driving business value. [1]
  • In fact, according to Gartner, it is expected that by 2025 the shortness of data scientists will no longer be an obstacle for businesses to adopt advanced technological processes. [1]
  • Univision achieved an 80% growth in yield during the first quarter after implementing business intelligence. [2]
  • The company processes 35% of U.S. mortgage applications. [2]
  • The service is so good at targeted content promotion that its recommendation system drives over 80% of streamed content. [2]
  • human users identify 95% of suspended terrorism. [2]
  • According to MarTech Today and Blissfully, “Companies with 50 or under employees have about 40 applications in total.”. [4]

I know you want to use Embedded Business Intelligence Software, thus we made this list of best Embedded Business Intelligence Software. We also wrote about how to learn Embedded Business Intelligence Software and how to install Embedded Business Intelligence Software. Recently we wrote how to uninstall Embedded Business Intelligence Software for newbie users. Don’t forgot to check latest Embedded Business Intelligence statistics of 2024.

Reference


  1. financesonline – https://financesonline.com/20-essential-business-intelligence-statistics-analysis-of-trends-data-and-market-share/.
  2. datapine – https://www.datapine.com/blog/business-intelligence-trends/.
  3. netsuite – https://www.netsuite.com/portal/resource/articles/business-strategy/business-intelligence-examples.shtml.
  4. selecthub – https://www.selecthub.com/category/business-intelligence/embedded-bi/.
  5. chartio – https://chartio.com/learn/business-intelligence/3-reasons-to-use-embedded-business-intelligence/.

How Useful is Embedded Business Intelligence

So, how useful is embedded BI? The answer is: very. Embedded BI refers to the integration of BI tools directly into existing applications, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) solutions, and project management platforms. By embedding these analytical capabilities seamlessly into everyday workflows, organizations can empower employees at all levels to make data-informed decisions in real-time.

The benefits of embedded BI are numerous. Firstly, it enables organizations to drive better business outcomes by providing timely and relevant insights into key metrics and performance indicators. Instead of relying on static reports or standalone BI tools, employees can access actionable data in the context of their daily tasks, improving productivity and fostering data-driven decision-making across the board.

Furthermore, embedded BI facilitates collaboration and communication within teams by breaking down data silos and ensuring that everyone is working from the same information. By embedding dashboards and visualizations directly into applications, employees can easily share insights, discuss findings, and track progress towards shared goals, leading to greater alignment and improved decision-making processes.

Another significant advantage of embedded BI is its ability to enhance the customer experience. By integrating analytics directly into customer-facing applications, organizations can gain a deeper understanding of customer behavior, preferences, and needs in real-time. This enables them to personalize interactions, anticipate customer demands, and deliver proactive support, resulting in higher satisfaction rates, increased loyalty, and ultimately, stronger revenue growth.

Additionally, embedded BI can help organizations stay ahead of the competition in today’s rapidly evolving business landscape. By leveraging advanced analytics techniques such as predictive modeling and machine learning, organizations can uncover hidden patterns, identify emerging trends, and make more accurate forecasts – enabling them to adapt quickly to changing market conditions and stay one step ahead of rivals.

Overall, embedded BI offers a powerful toolkit for organizations looking to harness the full potential of their data and drive competitive advantage in today’s digital age. By embedding BI tools directly into existing workflows and applications, organizations can unlock new insights, streamline decision-making processes, and foster a culture of data-driven innovation across the enterprise.

In conclusion, the utility of embedded BI is undeniable. As organizations continue to grapple with the challenges of managing and analyzing vast amounts of data, embedded BI represents a valuable solution for unlocking the full potential of their information assets. By integrating analytics seamlessly into everyday workflows, organizations can empower employees, enhance collaboration, improve customer experiences, and drive sustainable business growth. In an increasingly data-driven world, embedded BI is a critical tool for organizations looking to thrive in the digital age.

In Conclusion

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