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.

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.

The statistic shows the leading industries based on their share of the global big data and analytics market in 2019. That year, banking will be responsible for producing 13.9 percent of big data and business analytics revenues. In total, the market is forecasted to grow to 189.1 billion U.S. dollars in revenue in that year.

The Business Intelligence and Analytics (BI&A) platform provides technical services for and on behalf of US AID GH Bureau and the supply chain business initiatives. GH is interested in initiating, maintaining, and furthering its maturity level with enterprise data/information management and to build a fully integrated data warehouse by mapping data from multiple Implementing Partner (IP) application systems and using this data as primary data sources for data and trend analysis as well as predictive modeling. The USAID BIA Application receives data on a periodic basis from various Information Providers and integrates and transforms this data into a consolidated data repository. Software tools, including MicroStrategy, are utilized by USAID personnel to perform reporting and analytics on these data sets. USAID BI&A is a Software as a Service (SaaS) offering that most approximately is represented by Use Case 4 in the Guide to Understanding FedRAMP v2.0.

The global big data and business analytics market size was valued at over USD 284.92 billion in 2024 and is projected to grow at a robust CAGR of 15.2%, surpassing USD 1.79 trillion by 2037. North America industry is estimated to hold largest revenue share of 42.8% by 2037, attributed to its robust IT expertise and vast adoption of cloud computing.

The global business analytics market size reached USD 96.6 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 196.5 Billion by 2033, exhibiting a growth rate (CAGR) of 7.8% during 2025-2033. The surging volume and complexity of data, rising demand for optimized supply chain operations, and growing incidences of cybersecurity threats and consequently increasing privacy concerns among businesses are some of the major factors propelling the market.

The statistic shows the constant annual growth rate of the fastest growing big data and analytics categories worldwide, between 2015 and 2020. In that period, the market for non-relational analytics data stores is projected to grow by 38.6 percent.

The global business analytics market value reached around USD 88.40 Billion in 2024. The growth of big data has led to an increase in the demand for business analytics. Modern data analytics techniques are today required to decipher the huge amounts of data (particularly unstructured data) in the digital age. As a result, the industry is expected to grow at a CAGR of 7.80% during the forecast period of 2025-2034 to attain a value of USD 187.34 Billion by 2034.

Discover the thriving Southeast Asia Data Analytics and Business Intelligence market. Witness a 7.25% CAGR growth fueled by digital tech adoption by small and medium enterprises.

Global Business Analytics Market size valued at US$ 88.26 Billion in 2023, set to reach US$ 185.76 Billion by 2032 at a CAGR of about 8.62% from 2024 to 2032.

Journal of business analytics Acceptance Rate - ResearchHelpDesk - Business analytics research focuses on developing new insights and a holistic understanding of an organisation’s business environment to help make timely and accurate decisions, and to survive, innovate and grow. Thus, business analytics draws on the full spectrum of descriptive/diagnostic, predictive and prescriptive analytics in order to make better (i.e., data-driven and evidence-based) decisions to create business value in the broadest sense. The mission of the Journal of Business Analytics Journal (JBA) is to serve the emerging and rapidly growing community of business analytics academics and practitioners. We aim to publish articles that use real-world data and cases to tackle problem situations in a creative and innovative manner. We solicit articles that address an interesting research problem, collect and/or repurpose multiple types of data sets, and develop and evaluate analytics methods and methodologies to help organisations apply business analytics in new and novel ways. Reports of research using qualitative or quantitative approaches are welcomed, as are interdisciplinary and mixed methods approaches. Topics may include: Applications of AI and machine learning methods in business analytics Network science and social network applications for business Social media analytics Statistics and econometrics in business analytics Use of novel data science techniques in business analytics Robotics and autonomous vehicles Methods and methodologies for business analytics development and deployment Organisational factors in business analytics Responsible use of business analytics and AI Ethical and social implications of business analytics and AI Bias and explainability in analytics and AI Our editorial philosophy is to publish papers that contribute to theory and practice. Journal of Business Analytics is indexed in: AIS eLibrary Australian Business Deans Council (ABDC) Journal Quality List British Library CLOCKSS Crossref Ei Compendex (Engineering Village) Google Scholar Microsoft Academic Portico SCImago Scopus Ulrich's Periodicals Directory

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.

The statistic shows the revenue generated from the big data and business analytics market in Middle East and Africa (MEA), in 2016 and the forecast for 2017 and 2020. In 2016, big data and business analytics in the Middle East and Africa generated about 2 billion U.S. dollars in revenue.

The market size for business intelligence and analytics software applications is forecast to increase worldwide over the next few years from 15.3 billion U.S. dollars in 2021 to more than 18 billion in 2026. The business intelligence and analytics software application market is a subsegment of the enterprise application software market. Enterprise application software - a market with worldwide revenues of 212 billion U.S. dollars in 2020 - aims at responding to the needs of organizations. These software programs make it easier for companies and businesses to accomplish their corporate goals, by helping to improve supply chain management, manage resources, or interact better with customers, among others.

Business intelligence and analytics    

Business intelligence applications are used to collect and analyze current, actionable data in order to maintain, optimize or streamline business operations. Business analytics tools, on the other hand, are used to analyze data to be able to predict business trends. The leading companies in the business intelligence and analytics market are Microsoft, SAP and IBM, with revenues of 2.6 billion U.S. dollars, 2.1 billion, and 1.9 billion respectively in 2018.

The SaaS-based business analytics market is experiencing robust growth, projected to reach $11.40 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 13.63% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of cloud-based solutions across diverse sectors, including retail, BFSI (Banking, Financial Services, and Insurance), telecom, and healthcare, is a primary driver. Businesses are increasingly recognizing the value of data-driven decision-making, leading to higher investments in sophisticated analytics platforms that offer scalability, cost-effectiveness, and enhanced accessibility compared to on-premise solutions. Furthermore, the rising prevalence of big data and the need for real-time insights are propelling market growth. Technological advancements, such as the development of advanced analytics techniques like AI and machine learning integrated into SaaS platforms, are further enhancing the capabilities and appeal of these solutions. Competition is intense, with established players like Salesforce, Microsoft, and SAP alongside agile newcomers vying for market share through innovative features, strategic partnerships, and aggressive expansion strategies. The market is geographically diverse, with North America currently holding a significant share, followed by Europe and APAC regions showing considerable growth potential. The forecast period (2025-2033) anticipates continued expansion, driven by factors such as increasing digital transformation across industries, the growing demand for predictive analytics, and the emergence of new use cases for business analytics within organizations. While market restraints such as data security concerns and the need for skilled professionals to effectively utilize these platforms exist, the overall market outlook remains positive. The ongoing evolution of SaaS-based business analytics solutions, coupled with the continued demand for data-driven decision-making, is expected to sustain the high growth trajectory predicted for the foreseeable future. Regional variations in adoption rates and the emergence of niche players focusing on specific industry verticals will continue to shape the competitive landscape.

BPO Business Analytics Market size was valued at USD 27.6 Billion in 2023 and is projected to reach USD 135.7 Billion by 2031, growing at a CAGR of 18.8% during the forecast period 2024-2031.

Global BPO Business Analytics Market Drivers

Growing Need for Decisions Based on Data: The need for business process outsourcing (BPO) business analytics services is growing as more and more companies realize the benefits of data analytics. Businesses are aiming for data-driven decision-making in order to increase revenue, improve customer service, and streamline operations. Businesses may estimate future performance, find patterns, and streamline operations by utilizing analytics, which helps them make better strategic decisions. This move to analytics-driven strategies helps businesses remain competitive in quickly evolving markets by creating an atmosphere where data is not only gathered but also efficiently examined and applied to innovation and commercial expansion.

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 Business Intelligence Gateway project provides enterprise reporting and analytic capabilities to the agency.

Market Size and Growth: The global Business Analytics Enterprise Software Publishing market was valued at USD 65.47 billion in 2025 and is projected to reach USD 137.78 billion by 2033, exhibiting a CAGR of 6.97% during the forecast period. The market is driven by the increasing demand for data-driven decision-making, the growing adoption of cloud-based solutions, and the proliferation of big data. Key Trends and Challenges: Major trends shaping the market include the adoption of artificial intelligence (AI) and machine learning (ML), the rise of self-service analytics, and the increasing focus on data governance and security. Key challenges include data integration and interoperability issues, the lack of skilled workforce, and the ever-evolving regulatory landscape. Key segments are deployment (on-premises, cloud-based, hybrid), end-user (large enterprises, SMEs, government), solution type (reporting and analysis, data integration, business intelligence), and industry vertical (healthcare, retail, financial services, manufacturing). North America and Europe are the largest markets, while APAC is expected to experience the highest growth due to increased digital transformation and government initiatives. Key drivers for this market are: Cloud-based analytics solutions, AI-driven data insights; Integration with IoT platforms; Customizable reporting tools; Industry-specific analytics applications. Potential restraints include: Growing demand for data-driven insights, Increasing adoption of cloud solutions; Rising need for real-time analytics; Integration of AI technologies; Focus on improving operational efficiency.

The Fire Incident Dispatch Data file contains data that is generated by the Starfire Computer Aided Dispatch System. The data spans from the time the incident is created in the system to the time the incident is closed in the system. It covers information about the incident as it relates to the assignment of resources and the Fire Department’s response to the emergency. To protect personal identifying information in accordance with the Health Insurance Portability and Accountability Act (HIPAA), specific locations of incidents are not included and have been aggregated to a higher level of detail.