The statistic shows the leading benefits of business intelligence and data analytics to business organizations in the United States, according to a 2015 survey conducted by the Harvard Business Review Analytics Service. As of 2015, 59 percent of respondents felt that the ability to access data any time, anywhere was an important benefit of business intelligence and data analytics to their organization.

The global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

Statistical Analysis Software Market size was valued at USD 7,963.44 Million in 2023 and is projected to reach USD 13,023.63 Million by 2030, growing at a CAGR of 7.28% during the forecast period 2024-2030.

Global Statistical Analysis Software Market Drivers

The market drivers for the Statistical Analysis Software Market can be influenced by various factors. These may include:

Growing Data Complexity and Volume: The demand for sophisticated statistical analysis tools has been fueled by the exponential rise in data volume and complexity across a range of industries. Robust software solutions are necessary for organizations to evaluate and extract significant insights from huge datasets.
Growing Adoption of Data-Driven Decision-Making: Businesses are adopting a data-driven approach to decision-making at a faster rate. Utilizing statistical analysis tools, companies can extract meaningful insights from data to improve operational effectiveness and strategic planning.
Developments in Analytics and Machine Learning: As these fields continue to progress, statistical analysis software is now capable of more. These tools’ increasing popularity can be attributed to features like sophisticated modeling and predictive analytics.
A greater emphasis is being placed on business intelligence: Analytics and business intelligence are now essential components of corporate strategy. In order to provide business intelligence tools for studying trends, patterns, and performance measures, statistical analysis software is essential.
Increasing Need in Life Sciences and Healthcare: Large volumes of data are produced by the life sciences and healthcare sectors, necessitating complex statistical analysis. The need for data-driven insights in clinical trials, medical research, and healthcare administration is driving the market for statistical analysis software.
Growth of Retail and E-Commerce: The retail and e-commerce industries use statistical analytic tools for inventory optimization, demand forecasting, and customer behavior analysis. The need for analytics tools is fueled in part by the expansion of online retail and data-driven marketing techniques.
Government Regulations and Initiatives: Statistical analysis is frequently required for regulatory reporting and compliance with government initiatives, particularly in the healthcare and finance sectors. In these regulated industries, statistical analysis software uptake is driven by this.
Big Data Analytics’s Emergence: As big data analytics has grown in popularity, there has been a demand for advanced tools that can handle and analyze enormous datasets effectively. Software for statistical analysis is essential for deriving valuable conclusions from large amounts of data.
Demand for Real-Time Analytics: In order to make deft judgments fast, there is a growing need for real-time analytics. Many different businesses have a significant demand for statistical analysis software that provides real-time data processing and analysis capabilities.
Growing Awareness and Education: As more people become aware of the advantages of using statistical analysis in decision-making, its use has expanded across a range of academic and research institutions. The market for statistical analysis software is influenced by the academic sector.
Trends in Remote Work: As more people around the world work from home, they are depending more on digital tools and analytics to collaborate and make decisions. Software for statistical analysis makes it possible for distant teams to efficiently examine data and exchange findings.

This statistic shows the top benefits that companies realized in using data and analytics worldwide as of 2019. Around 64 percent of respondents stated that through using data and analytics, improved efficiency and productivity had been achieved.

Business Analytics Market was valued at USD 84.42 Billion in 2024 and is projected to reach USD 176.14 Billion by 2031, growing at a CAGR of 9.63% from 2024 to 2031.

Global Business Analytics Market Drivers

The market drivers for the Business Analytics Market can be influenced by various factors. These may include:

Growing Adoption of Big Data Analytics: In order to extract meaningful insights from their data, organizations are progressively using big data analytics in response to the exponential expansion of data. Making educated decisions through data analysis is facilitated by business analytics.
Growing Need for Data-driven Decision Making: In order to obtain a competitive edge, businesses are realizing the significance of data-driven decision making. The methods and instruments for data analysis and significant insights extraction for improved decision-making are offered by business analytics.
Growing Need for Predictive and Prescriptive Analytics: Predictive and prescriptive analytics are becoming more and more in demand as a means of projecting future trends and results. Businesses can use business analytics to prescribe activities to achieve desired outcomes and forecast future outcomes based on previous data.
Growing Emphasis on Customer Analytics: As e-commerce and digital marketing gain traction, companies are putting more of an emphasis on comprehending the behavior and preferences of their customers. In order to increase consumer engagement and personalize marketing efforts, business analytics is used to analyze customer data.
Emergence of Advanced Technologies: The use of advanced analytics solutions is being propelled by developments in fields like artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Businesses may now analyze data more effectively and gain deeper insights thanks to these technologies.
Operational Efficiency and Cost Optimization Are Necessary: Companies are always under pressure to increase operational efficiency and reduce costs. Business analytics promotes market expansion by assisting in the identification of opportunities for process and cost-cutting enhancements.
Compliance and Regulatory Requirements: The use of business analytics solutions for risk management and compliance reporting is being fueled by the growing regulatory requirements in a number of industries, including healthcare, banking, and retail.

International Journal of Data Science and Analytics Acceptance Rate - ResearchHelpDesk - International Journal of Data Science and Analytics - Data Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. The field encompasses the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations.

Question Paper Solutions of chapter Statistical Quality Control of Data Analytics Skills for Managers, 5th Semester , Bachelor in Business Administration 2020 - 2021

Analysis of ‘Data Professionals Salary - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/analytics-industry-salaries-2022-india on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.

Content

This Dataset consists of salaries for Data Scientists, Machine Learning Engineers, Data Analysts, Data Engineers in various cities across India (2022).

Acknowledgements

For more, please visit: https://www.glassdoor.co.in/

--- Original source retains full ownership of the source dataset ---

The statistic shows the analytics tools currently in use by business organizations in the United States, as well as the analytics tools respondents believe they will be using in two years, according to a 2015 survey conducted by the Harvard Business Review Analytics Service. As of 2015, 73 percent of respondents believed they were going to use predictive analytics for data analysis in two years' time.

Question Paper Solutions of chapter Exploratory Data Analytics and Descriptive Statistics of Data Analytics Skills for Managers, 5th Semester , Bachelor in Business Administration 2020 - 2021

The global market for data lens (visualizations of data) is experiencing robust growth, driven by the increasing adoption of data analytics across diverse industries. This market, estimated at $50 billion in 2025, is projected to achieve a compound annual growth rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the rising volume and complexity of data necessitate effective visualization tools for insightful analysis. Businesses are increasingly relying on interactive dashboards and data storytelling techniques to derive actionable intelligence from their data, fostering the demand for sophisticated data visualization solutions. Secondly, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of data visualization platforms, enabling automated insights generation and predictive analytics. This creates new opportunities for vendors to offer more advanced and user-friendly tools. Finally, the growing adoption of cloud-based solutions is further accelerating market growth, offering enhanced scalability, accessibility, and cost-effectiveness. The market is segmented across various types, including points, lines, and bars, and applications, ranging from exploratory data analysis and interactive data visualization to descriptive statistics and advanced data science techniques. Major players like Tableau, Sisense, and Microsoft dominate the market, constantly innovating to meet evolving customer needs and competitive pressures. The geographical distribution of the market reveals strong growth across North America and Europe, driven by early adoption and technological advancements. However, emerging markets in Asia-Pacific and the Middle East & Africa are showing significant growth potential, fueled by increasing digitalization and investment in data analytics infrastructure. Restraints to growth include the high cost of implementation, the need for skilled professionals to effectively utilize these tools, and security concerns related to data privacy. Nonetheless, the overall market outlook remains positive, with continued expansion anticipated throughout the forecast period due to the fundamental importance of data visualization in informed decision-making across all sectors.

A majority of businesses responding to a 2023 survey said that investment in data and analytics was a top priority. However, only 37 percent said that their efforts to improve data quality had been successful, highlighting an ongoing challenge faced by organizations across industry sectors.

Vietnam data analytics market size is projected to exhibit a growth rate (CAGR) of 9.80% during 2024-2032. The growth of data generated by individuals and organizations, the rapid advancements in data analytics technologies, the increasing adoption of business intelligence tools and platforms, and the growing demand for real-time analytics are some of the factors propelling the market.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on type, solution, deployment mode, and application.

The Data Analytics in Retail Industry is segmented by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), by Business Type (Small and Medium Enterprises, Large-scale Organizations), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

This statistic shows the results of a CompTIA survey of IT business professionals in the United States regarding the strength of data analytics in their business, as of October 2015. As of October 2015, 47 percent of respondents felt their business did customer profiling and segmentation analysis well, but wanted to do better.

Expert industry market research on the Business Analytics & Enterprise Software Publishing in the US (2005-2030). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

Question Paper Solutions of chapter Data Analysis using MS-Excel of Data Analytics Skills for Managers, 5th Semester , Bachelor in Business Administration 2020 - 2021

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Business Intelligence (BI) Market Size 2025-2029

The business intelligence (bi) market size is forecast to increase by USD 18.56 billion at a CAGR of 10.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of advanced analytical tools to gain insights from complex data. This trend is particularly prominent in sectors such as finance, healthcare, and retail, where data-driven decision-making is crucial for competitive advantage. However, the market's growth is not without challenges. Rising concerns for data privacy and security are becoming increasingly important, with organizations seeking to protect sensitive information from cyber threats and regulatory scrutiny. Moreover, the market is witnessing an uptick in mergers and acquisitions, as companies look to expand their offerings and enhance their competitive positioning. This consolidation is expected to intensify, with key players seeking to expand their geographic reach and acquire innovative technologies. Despite these challenges, the BI market presents significant opportunities for companies seeking to capitalize on the growing demand for data-driven insights. To succeed in this dynamic market, organizations must prioritize data security and privacy, invest in advanced analytics tools, and build strategic partnerships to stay ahead of the competition.

What will be the Size of the Business Intelligence (BI) Market during the forecast period?

Request Free SampleThe market continues to experience significant growth as organizations increasingly rely on data-driven strategic decisionmaking. Digital transformation initiatives and the adoption of Intelligent Planning solutions are key drivers, fueling the demand for advanced analytics capabilities, including continuous intelligence, real-time analytics, and augmented analytics. The integration of Internet of Things (IoT) data, Artificial Intelligence (AI), and Machine Learning (ML) technologies further enhances the value proposition of BI platforms. Data quality and the use of third-party data sources are critical considerations, ensuring the accuracy and completeness of analytical applications. Cloud deployment, predictive modeling, and real-time insights are essential components of modern BI platforms, enabling user adoption through mobile access, self-service capabilities, and data security. Performance metrics, operational efficiency, and data warehousing are also important aspects of BI, as organizations seek to derive actionable insights from their data to optimize business processes.

How is this Business Intelligence (BI) Industry segmented?

The business intelligence (bi) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userBFSIHealthcareICTGovernmentOthersDeploymentOn-premisesCloudTypeTraditional BICloud BIMobile BISocial BIGeographyNorth AmericaUSCanadaAPACChinaIndiaJapanSouth KoreaEuropeFranceGermanyItalyUKMiddle East and AfricaSouth America

By End-user Insights

The bfsi segment is estimated to witness significant growth during the forecast period.The market has experienced significant growth due to the increasing need for strategic decision-making and digital transformation in various industries, particularly in the banking, financial services, and insurance (BFSI) sector. With the proliferation of data from multiple sources, including third-party data and the Internet of Things (IoT), advanced analytics, continuous intelligence, real-time analytics, and augmented analytics have become essential tools for businesses. Artificial Intelligence (AI) and Machine Learning (ML) technologies are also being integrated into BI platforms for predictive analytics and statistical analysis. Big data analytics, cloud-based business solutions, and API-first design are becoming the modern data stack for medium-sized organizations. Adaptive analytics and business automation are key areas of R&D efforts to address data quality concerns and comply with local laws and compliance regulations. Analytical applications, BI infrastructure, and consulting and advisory services are essential components of a comprehensive BI solution. Cloud deployment and on-premise deployment options are available, with cloud analytics platforms like Amazon Web Services and GoodData Cloud leading the way.

Get a glance at the market report of share of various segments Request Free Sample

The BFSI segment was valued at USD 4.81 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 51% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shap

Question Paper Solutions of chapter Correlation and Regression of Data Analytics Skills for Managers, 5th Semester , Bachelor in Business Administration 2020 - 2021

The global market for App Data Statistics Tools is experiencing robust growth, driven by the increasing adoption of mobile applications across various sectors and the rising need for data-driven decision-making. This market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors, including the escalating demand for precise user behavior analysis, the necessity for enhanced app performance optimization, and the growing importance of personalized user experiences. The market is segmented by tool type (customized vs. universal) and application (social, information, gaming, e-commerce, tools, and others). The rise of sophisticated analytics platforms offering comprehensive data visualization and insightful reporting contributes significantly to the market's growth. Furthermore, the increasing adoption of cloud-based solutions simplifies data storage and analysis, enabling businesses of all sizes to leverage app data effectively. Competitive forces are shaping the landscape, with established players and emerging startups continuously innovating to offer advanced features and cater to the diverse needs of developers and businesses. The North American market currently holds a significant share, largely due to the concentration of technology companies and early adoption of advanced analytics tools. However, Asia-Pacific is expected to exhibit the fastest growth during the forecast period, driven by the burgeoning mobile app market in countries like India and China. The market faces certain restraints, such as data privacy concerns and the complexity of integrating different analytics tools. Nevertheless, the continued evolution of mobile app technology, alongside the development of more user-friendly and cost-effective analytics platforms, will continue to propel market expansion over the next decade. This growth underscores the strategic value of app data analytics in understanding user behavior, improving app functionality, and ultimately maximizing business success in the competitive mobile landscape.