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Home Artificial Intelligence

Leading Companies Fueling Growth and Innovation in the Mobile Business Intelligence (BI) Market

January 28, 2026
in Artificial Intelligence, OpenPR, Web3
Reading Time: 6 mins read
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Mobile Business Intelligence (BI) Market

Mobile Business Intelligence (BI) Market

The mobile business intelligence (BI) sector is on the brink of remarkable expansion as organizations increasingly rely on real-time data insights accessible from anywhere. With advancements in technology and rising demand for agile decision-making tools, this market is set to evolve rapidly, reshaping how businesses analyze and act on information.

Mobile Business Intelligence Market Size and Growth Outlook
The mobile business intelligence market is projected to experience substantial growth, reaching a market value of $58.59 billion by 2030. This surge represents a compound annual growth rate (CAGR) of 23.0%. Factors contributing to this expansion include the rising need for mobile-enabled business insights, wider adoption of AI and machine learning in analytics, increased utilization of predictive and prescriptive analytics, growth in cloud-based mobile BI platforms, and a stronger emphasis on operational efficiency and productivity improvements. Throughout the forecast period, key trends will center on advancements in AI-driven analytics, innovation in mobile reporting and visualization tools, continuous development of cloud BI solutions, research into predictive analytics algorithms, and enhanced integration with enterprise collaboration and workflow systems.

Download a free sample of the mobile business intelligence (bi) market report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=31032&type=smp

Top Players Leading the Mobile Business Intelligence Market
The competitive landscape of the mobile business intelligence market features several prominent companies, such as Google LLC, Microsoft Corp., International Business Machines Corporation, Oracle Corporation, SAP SE, Zoho Corporation Pvt. Ltd., Tableau Software LLC, QlikTech International AB, MicroStrategy Incorporated, TIBCO Software Inc., Domo Inc., Pentaho Corporation, Sisense Inc., Board International SA, ThoughtSpot Inc., GoodData Corporation, Phocas Software Pty Ltd, Grow.com Inc., Infor Inc., Dundas Data Visualization Inc., Klipfolio Inc., InetSoft Technology Corporation, Exago Inc., and Yellowfin International Pty Ltd.
In a notable development in June 2024, Domo Inc., a US-based leader in cloud business intelligence and data analytics, formed a partnership with phData Inc. This collaboration aims to accelerate AI and data analytics initiatives for organizations by integrating advanced data management, analytics tools, and cloud solutions to promote actionable insights and improved business outcomes. phData Inc. specializes in cloud and analytics services with a focus on mobile business intelligence.

Emerging Trends Shaping the Mobile Business Intelligence Market
Companies in the mobile BI arena are focusing on developing sophisticated platforms equipped with vendor-embedded analytics tools that provide real-time decision support on mobile devices like smartphones and tablets. These embedded analytics tools integrate BI and data visualization features directly into third-party applications, enhancing accessibility and usability.
For example, in February 2024, Tableau Software Inc., a US-based software firm, introduced Pulse, a generative AI-powered insights generator designed specifically for mobile devices. Pulse allows users to access dashboards and critical metrics on the go, offering real-time alerts and natural language insights to rapidly identify anomalies. This innovation strengthens the mobile BI market by merging AI-driven analytics capabilities with mobile accessibility. Pulse is available as a free feature for Tableau Cloud customers and is included with the vendor’s embedded analytics solutions.

View the full mobile business intelligence (bi) market report:
https://www.thebusinessresearchcompany.com/report/mobile-business-intelligence-bi-market-report

Detailed Segmentation of the Global Mobile Business Intelligence Market
The global mobile business intelligence market is segmented comprehensively to cover various aspects:
1) By Component: Software and Services
2) By Deployment Model: Cloud-Based, On-Premises, and Hybrid
3) By Organization Size: Small Enterprises and Large Enterprises
4) By Application: Fraud and Security Management, Sales and Marketing Management, Predictive Asset Maintenance, Risk and Compliance Management, Supply Chain Management and Operations, and Other Applications
5) By End-User Industry: Banking, Financial Services, Information Technology (IT) and Telecommunications, Health and Life Sciences, Government and Defense, Energy and Utilities, Media and Entertainment

Subcategories provide further detail:
1) Hardware includes Mobile Devices, Tablets, Rugged Industrial Devices, Wearable Devices, and Mobile Network Equipment
2) Software covers Mobile Analytics Applications, Data Visualization Tools, Reporting and Dashboard Platforms, Predictive Analytics Software, and Data Management and Integration Tools
3) Services consist of Implementation Services, Integration Services, Consulting Services, Training and Support Services, and Maintenance and Managed Services

This broad segmentation reflects the diverse range of tools, deployment options, user sizes, applications, and industries that the mobile business intelligence market caters to, highlighting its expansive impact across sectors.

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Learn More About The Business Research Company
With over 17500+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead.Our flagship product, the Global Market Model (GMM), is a premier market intelligence platform delivering comprehensive and updated forecasts to support informed decision-making.

This release was published on openPR.

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