Self-Service Analytics Market Research Report- Global Forecast 2032

Self-Service Analytics Market Research Report Information By Type (Tableau, Sas, Logi Analytics, Qlik, and Others), By Services (Business User, Consultants, Corporate IT Professionals, and Other), By Company Size (Large Business and Small and Medium Business), by Deployment (On-Premises and On Cloud), by Industries (BFSI, Healthcare, Retail, IT &Telecommunication, and Others) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032.

ID: MRFR/ICT/1452-HCR | 110 Pages | Author: Aarti Dhapte | December 2023         

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Self-Service Analytics Market Overview


The Self-Service Analytics Market Size was valued at USD 3.5 Billion in 2022. The Self-Service Analytics market industry is projected to grow from USD 4.1 Billion in 2023 to USD 17.0 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 19.2% during the forecast period (2023 - 2032). The growing demand for data-driven decision-making across businesses drives the self-service analytics market. Self-service analytics systems are becoming more popular as businesses look for analytic tools that are easy for non-technical users to use and enable them to access data and effectively are the key market drivers enhancing market growth.


Self-Service Analytics Market Overview 1


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Self-Service Analytics Market Trends


Growing demand for data-driven decision-making across industries is powering the market growth


Market CAGR will widen due to increased utilizing data analysis to gain insights, spot patterns, and form predictions or suggestions is known as "data-driven decision-making." This technique was frequently restricted to specialized teams or data analysts within corporations. However, this method ran into problems like slow response times, a lack of flexibility, and restricted access to data insights. Self-service analytics is a concept that was developed to address these problems. Self-service analytics refers to giving non-technical users—like business managers or front-line staff members—the ability to independently access, study, analyze, and visualize data without the assistance of IT or data science teams. It lessens reliance on expert resources by empowering people to analyze data independently and acquire timely insights.


Many variables have spurred the desire for data-driven decision-making. First, companies know how data may be used to discover market trends, boost operational efficiency, and unlock new opportunities. Utilizing the power of data analytics, businesses may improve operational procedures, locate areas for cost reduction, and make strategic decisions that align with consumer needs. Second, the amount, velocity, and variety of data enterprises have increased exponentially due to the development of big data and the spread of digital technology. This inflow of data offers both benefits and challenges. To manage and make sense of this enormous volume of data, organizations, on the one hand, require effective tools and procedures. On the other hand, organizations are aware of the possibility of mining this data for useful insights that might promote corporate expansion. Thirdly, people are becoming increasingly conscious of the drawbacks of making decisions based on intuition or prior experience. Although data-driven insights can supplement and augment human skills, both are valuable. Decision-makers are becoming aware of the benefits of using data analysis to create more objective decisions supported by facts, and hence more likely to succeed. The COVID-19 epidemic has additionally increased the demand for data-driven decision-making. Organizations had to swiftly modify their plans and daily operations due to unprecedented obstacles and uncertainty due to the pandemic. Relying on real-time data and analytics has become essential for enterprises to make informed decisions, reduce risks, and grab emerging opportunities in such dynamic and volatile contexts.


The self-service analytics industry has emerged and is seeing tremendous growth due to the desire for data-driven decision-making. Businesses are looking for user-friendly analytics technologies that will enable non-technical users to democratize access to data insights. These tools often include user-friendly interfaces, drag-and-drop capabilities, and dashboards or templates that have already been constructed, making it simple for users to explore and view data without requiring substantial training or coding skills. Thus, driving the Self-Service Analytics market revenue.


Self-Service Analytics Market Segment Insights


Self-Service Analytics Type Insights


The Self-Service Analytics market segmentation is based on type, Tableau, Sas, Logi Analytics, Qlik, and Others. The Tableau held the biggest market share in the market in 2022. The major factors contributing to the growth of this segment include growing benefits and increasing use among consumers. With Tableau Embedded analyses, developers can create analytical apps that let users explore and perform self-service analyses. They have introduced upgrades over the course of numerous releases that can be put together and integrated.


Self-Service Analytics Service Insights


The Self-Service Analytics market segmentation is based on service, business user, consultants, corporate it professionals and others. The self-service analytics platform created for business users is the product linked with the Self-Service Analytics Market that is utilized the most frequently. Non-technical people can freely access, analyze, and visualize data using these platforms' user-friendly functionalities and intuitive interfaces. Business users cannot rely on IT or data science teams. Still, they can examine data, build interactive dashboards, produce reports, and gain insights. Business users are given the ability to make data-driven decisions, get greater insights into their operations, and independently and quickly promote organizational growth.


Self-Service Analytics Company Size Insights


The Self-Service Analytics market segmentation is based on large business and small and medium business. The self-service analytics platform designed for large business is the most popular product within the self-service analytics market. These platforms are made to handle and analyze a lot of data, meeting the sophisticated analytical demands of enterprise-level businesses. They enable major enterprises to gain practical insights and implement data-driven decision-making at scale by providing cutting-edge features like data integration, predictive analytics, and collaboration capabilities. To maintain data privacy and compliance, these platforms frequently offer strong security and governance capabilities, catering to the unique needs of larger enterprises.


Self-Service Analytics Deployment Insights


The Self-Service Analytics market segmentation is based on deployments, including on-premises and on-cloud. The self-service analytics platform that is set up in the on-cloud is the product related to the self-service analytics market that is utilized the most. Scalability, flexibility, and cost-effectiveness are just a few benefits of cloud-based self-service analytics tools. They enable businesses to use a web browser to view and analyze data anytime, from any location. Cloud deployments provide quicker adoption and lower upfront costs by doing away with the requirement for on-premises infrastructure and maintenance. Cloud platforms frequently offer seamless interaction with other cloud-based services, facilitating data integration and improving user cooperation.


Figure 1: Self-Service Analytics Market, by Deployment, 2022 & 2032 (USD Billion)


Self-Service Analytics Market, by Deployment, 2022 & 2032


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


Self-Service Analytics Industries Insights


The Self-Service Analytics market segmentation is based on industries, including BFSI, healthcare, retail, IT & telecommunication and others. The self-service analytics platform for the BFSI category is the most extensively utilized product among those connected to the self-service analytics market. For risk assessment, fraud detection, client segmentation, and tailored marketing, the BFSI sector significantly relies on data analysis. Self-service analytics platforms give the industry user-friendly tools to study enormous amounts of financial and customer data, facilitating in-the-moment insights and well-informed choices. These platforms are essential for the data-driven operations of the BFSI sector since they also include strong security measures to ensure compliance with regulatory standards.


Self-Service Analytics Regional Insights


By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. Due to several variables, North America has been at the forefront of implementing and developing self-service analytics solutions. These include sizable businesses that highly value data-driven decision-making, a developed technology foundation, and a high degree of interest in and expenditure on analytics tools. Additionally, many technology firms and startups based in North America are working to create cutting-edge self-service analytics platforms, helping the industry expand there.


Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.


Figure 2: SELF-SERVICE ANALYTICS MARKET SHARE BY REGION 2022 (USD Billion)


SELF-SERVICE ANALYTICS MARKET SHARE BY REGION 2022


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


Europe Self-Service Analytics market accounts for the second-largest market share. Due to its strong emphasis on data protection rules, adoption of cutting-edge technology, and presence of diverse sectors driving the demand for self-service analytics solutions, Europe is the region most commonly recognized for the self-service analytics market. Further, the German Self-Service Analytics market held the largest market share, and the UK Self-Service Analytics market was the fastest growing market in the European region.


The Asia-Pacific Self-Service Analytics Market is expected to grow fastest from 2023 to 2032. Due to its robust economic growth, rapid digitalization, rising adoption of data-driven decision-making, and the presence of technologically advanced countries that drive demand for self-service analytics solutions, Asia Pacific is the region most widely recognized for the self-service analytics market. Moreover, China’s Self-Service Analytics market held the largest market share, and the Indian Self-Service Analytics market was the fastest growing market in the Asia-Pacific region.


Self-Service Analytics Key Market Players & Competitive Insights


Leading market players will increase their footprint during the forecast period owing to the widening demand from various consumers. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new Service Type launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. Prominent players in the Self-Service Analytics industry are expected to increase their product portfolio.


Prominent leaders in the Self-Service Analytics industry will widen their footprint towards an international stage. During the forecast period, various changes are expected to change in the market. Major Self-Service Analytics market players include Tableau Software (U.S), Microsoft Corporation (U.S.), IBM Corporation (U.S.), SAP SE (Germany), and Splunk (U.S), which is attempting to increase market demand by investing in research and development operations.


The software, services, and hardware the multinational technology giant Microsoft Corporation produces are well-known. Microsoft, established in 1975 by Bill Gates and Paul Allen and now employs millions of people worldwide, is one of the world's biggest and most well-known technological firms. Microsoft is a market leader in software solutions. It is best known for its flagship operating system, Windows, which runs millions of personal computers worldwide. Microsoft provides a wide range of software products in addition to operating systems, such as productivity suites like Microsoft Office, cloud-based services like Microsoft Azure, enterprise applications like Microsoft Dynamics, and development tools like Visual Studio. Microsoft's hardware products contribute to its success as well. The business produces and markets a variety of gadgets, such as the famous Surface line of tablets and laptops, the Xbox gaming system, and add-ons like keyboards and mouse. With the HoloLens augmented reality device, Microsoft has further advanced the field of mixed reality.


ly regarded as a pioneer in business application software, SAP SE is a German multinational software company. Since its founding in 1972, SAP has developed into one of the leading software providers in the world, providing services to businesses of all sizes and in numerous industries. SAP's main focus is creating and delivering cutting-edge software solutions that assist companies in streamlining operations, improving procedures, and gaining insightful information from their data. SAP ERP (Enterprise Resource Planning), the company's leading solution, integrates and handles important business processes like finance, sales, procurement, and human resources. Organizations may increase productivity, make wise decisions, and improve overall business performance using SAP ERP. SAP provides a wide range of software products in addition to ERP systems, including customer relationship management (CRM), supply chain management (SCM), human capital management (HCM), business intelligence (BI), and analytics. With these solutions, businesses may achieve operational excellence, improve customer experiences, and stimulate innovation by addressing unique business demands.


Key Companies in the Self-Service Analytics market include




  • Tableau Software (U.S)




  • Microsoft Corporation (U.S.)




  • IBM Corporation (U.S.)




  • SAP SE (Germany)




  • Splunk (U.S)




  • Syncsort (U.S)




  • Crimson Hexagon (U.S)




  • Alteryx (U.S)




  • SAS Institute (U.S)




  • TIBCO Software (U.S.)




  • Oracle Corporation (U.S.)




  • Vista equity partners (U.S)




  • DrivenBI (U.S)




Self-Service Analytics Industry Developments


September 2018: The expert systems administration company LinkedIn released its first self-administration test item called "Ability Insights" in September 2018. The new investigative tool is accessible from many organizational levels, departments, and locations.


September 2018: TriNetX, a health research company, presented a new self-administration accuracy medication evaluation for the nearby research location in September 2018.


Self-Service Analytics Market Segmentation


Self-Service Analytics Software Tool Outlook (USD Billion, 2018-2032)




  • Tableau




  • Sas




  • Logi Analytics




  • Qlik




  • Others




Self-Service Analytics Services Outlook (USD Billion, 2018-2032)




  • Business User




  • Consultants




  • Corporate IT Professionals




  • Others




Self-Service Analytics Company Size Outlook (USD Billion, 2018-2032)




  • Large Business




  • Small & Medium Business




Self-Service Analytics Deployment Outlook (USD Billion, 2018-2032)




  • On-Premise




  • On-Cloud




Self-Service Analytics Industries Outlook (USD Billion, 2018-2032)




  • BFSI




  • Healthcare




  • Retail




  • IT & Telecommunication




  • Others




Self-Service Analytics Regional Outlook (USD Billion, 2018-2032)




  • North America






  • US




  • Canada






  • Europe






  • Germany




  • France




  • UK




  • Italy




  • Spain




  • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





Report Scope:

Report Attribute/Metric Details
Market Size 2022 USD 3.5 Billion
Market Size 2023 USD 4.1 Billion
Market Size 2032 USD 17.0 Billion
Compound Annual Growth Rate (CAGR) 19.2% (2023-2032)
Base Year 2022
Market Forecast Period 2023-2032
Historical Data 2018- 2022
Market Forecast Units Value (USD Billion)
Report CoverCompany Size Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered Service Type, Company Size, Deployment, Test, Industries, and Region
Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered The US, Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled Tableau Software (U.S), Microsoft Corporation (U.S.), IBM Corporation (U.S.), SAP SE (Germany), Splunk (U.S), Syncsort (U.S), Crimson Hexagon (U.S), Alteryx (U.S), SAS Institute (U.S), TIBCO Software (U.S.), Oracle Corporation (U.S.), Vista equity partners (U.S), and DrivenBI (U.S)
Key Market Opportunities Need for user-friendly analytics tools for non-technical users
Key Market Dynamics Rising focus on empowering individuals to access and analyze data




Frequently Asked Questions (FAQ) :

The Self-Service Analytics market size was valued at USD 3.5 Billion in 2022.

The market is projected to grow at a CAGR of 19.2% during the forecast period, 2023-2032.

The key players in the market are Tableau Software (U.S), Microsoft Corporation (U.S.), IBM Corporation (U.S.), SAP SE (Germany), and Splunk (U.S).

The on-cloud dominated the market in 2022.

Key Questions Answered

  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players’ financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
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