The size of the Mobile BI Market was valued at USD 14.247 Billion in 2024 and is projected to reach USD 50.99 Billion by 2033, with an expected CAGR of 19.98% during the forecast period. The Mobile Business Intelligence (BI) market is experiencing rapid growth as enterprises increasingly adopt mobile-driven analytics solutions to enhance decision-making and operational efficiency. With the rising use of smartphones and tablets, organizations are integrating BI tools with mobile platforms to ensure real-time data access, visualization, and reporting. Key drivers include the growing demand for remote access to business insights, advancements in AI-driven analytics, and the need for faster decision-making in a competitive landscape. Cloud-based BI solutions are gaining traction, offering scalability, flexibility, and cost-efficiency. Industries such as retail, healthcare, finance, and manufacturing are leveraging mobile BI for predictive analytics, customer insights, and performance monitoring. Security concerns and data privacy regulations remain challenges, prompting organizations to implement robust encryption and access controls. Leading market players are focusing on AI-powered dashboards, self-service analytics, and intuitive user interfaces to enhance user adoption. As 5G and edge computing continue to evolve, mobile BI is expected to become more sophisticated, offering real-time insights with minimal latency, ultimately transforming how businesses analyze and act on data-driven intelligence. Recent developments include: January 2023: For better experiences, Microsoft released Power BI in Microsoft Teams. Three new features are included in the announcements: rich broadcast cards for Chat in Microsoft Teams, an upgrade for old Power BI tabs for Channels 2.0, and listening to and taking into account user feedback., December 2022: Tableau released Tableau 2022.4, an updated version for analysts and business users to explore information. With data stories like Data Change Radar, Data Guide, and Explain the Viz, it automates creating, evaluating, and sharing insights., November 2022:Qlik introduced a new cloud-based data integration platform. The cutting-edge platform as a service combines data preparation and catalog capabilities in one location. Organizations may now analyze data in real-time thanks to the new integration.. Key drivers for this market are: Increased demand for data insights on the move

Growing adoption of cloud computing and mobile devices

Enhancements in mobile technology and user experience

Data-driven decision-making and competitive advantage

Need for real-time analytics and actionable insights. Potential restraints include: Data security and privacy concerns

Lack of technical expertise and training

Limited adoption in certain industries

Dependence on network connectivity

Concerns over data integrity and accuracy. Notable trends are: Artificial intelligence (AI) and machine learning (ML) for predictive analytics

Integration with augmented reality (AR) and virtual reality (VR)

Data-as-a-Service (DaaS) and subscription-based models

Conversational analytics and natural language processing (NLP)

Blockchain-enabled data security and privacy.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2022-23, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2023. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the fourth publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

The size of the Business Intelligence Market was valued at USD 33.12 Billion in 2024 and is projected to reach USD 70.38 Billion by 2033, with an expected CAGR of 11.37% during the forecast period. The Business Intelligence (BI) market is witnessing significant growth as organizations increasingly rely on data-driven strategies to enhance decision-making and operational efficiency. With the rising adoption of cloud computing, big data analytics, and artificial intelligence, BI tools are evolving to provide real-time insights and predictive analytics. Companies across industries, including healthcare, retail, finance, and manufacturing, are leveraging BI solutions to optimize processes, improve customer experiences, and gain a competitive edge. The market is fueled by the need for self-service analytics, data visualization, and integration of BI platforms with enterprise resource planning (ERP) and customer relationship management (CRM) systems. Additionally, advancements in machine learning and automation are further enhancing BI capabilities, enabling businesses to extract actionable insights from vast datasets. Small and medium-sized enterprises (SMEs) are also adopting BI solutions to streamline operations and enhance agility. However, challenges such as data security concerns, high implementation costs, and integration complexities persist. As organizations continue prioritizing digital transformation, the BI market is expected to expand further, with innovations in augmented analytics and embedded BI shaping its future landscape. Recent developments include: January 2023: Microsoft unveiled Power BI enhanced experiences in Microsoft Teams in January 2023. The three new features announced are rich broadcasting cards for Conversation in Microsoft Teams and an upgrade for old Power BI tabs for taking notes and learning from experiences and needs., December 2022: Tableau 2022.4 was released in December 2022 for customers and researchers to explore information. It automates creating, analyzing, and communicating insights through data stories, including Data Change Radar, Information Guide, and Explaining the Viz., October 2022: Oracle increased inclusive and included data and analytics capabilities in October 2022 to empower business users. With the extra stuff in Oracle Fusion Analytics for ERP, CX, HCM, and SCM data analysis, business users can track performance against corporate objectives using visualizations, KPIs, and analytics.. Key drivers for this market are: Growing Volume of Data: The increasing generation of data from various sources drives the need for effective data management and analysis capabilities.

Demand for Real-Time Insights: Businesses require real-time data insights to make timely decisions and respond to market changes effectively.

Adoption of Cloud-Based Solutions: Cloud-based BI solutions offer flexibility, cost-effectiveness, and scalability, driving their adoption.. Potential restraints include: Data Security and Privacy Concerns: The handling and storage of sensitive data raise concerns about data breaches and privacy violations.

Integration Complexity: Integrating BI systems with other enterprise applications and data sources can be complex and time-consuming.

Skill Shortage: The lack of skilled professionals with expertise in data analysis and business intelligence poses a challenge.. Notable trends are: Cognitive BI: BI tools are incorporating cognitive technologies to automate data analysis and provide personalized insights.

Predictive Analytics: BI platforms are leveraging predictive analytics to anticipate future events and trends.

Self-Service BI: Self-service BI empowers business users to create their own reports and analyses without the need for technical assistance.

Natural Language Processing (NLP): NLP capabilities enable users to interact with BI tools using natural language queries..

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2023-24, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2024. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019, the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the fifth publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with a breakdown for the mother's smoking status at the booking appointment by age group. It also provides counts of live born term babies with breakdowns for the general condition of newborns (via Apgar scores), skin-to-skin contact and baby's first feed type - all immediately after birth. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. For the first time information on 'Smoking at Time of Delivery' has been presented using annual data from the MSDS. This includes national data broken down by maternal age, ethnicity and deprivation. From 2025/2026, MSDS will become the official source of 'Smoking at Time of Delivery' information and will replace the historic 'Smoking at Time of Delivery' data which is to become retired. We are currently undergoing dual collection and reporting on a quarterly basis for 2024/25 to help users compare information from the two sources. We are working with data submitters to help reconcile any discrepancies at a local level before any close down activities begin. A link to the dual reporting in the SATOD publication series can be found in the links below. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.