The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027. What is Big data? Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. 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. Big data analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Introduction

Big Data Statistics: Big Data Statistics involves the gathering, analysis, and interpretation of large volumes of data from diverse sources, including social media, sensors, online transactions, and digital devices. As businesses increasingly adopt data-driven strategies, the role of big data becomes more crucial.

By applying advanced statistical methods and leveraging powerful computing technologies, organizations can uncover valuable patterns, trends, and insights that fuel innovation and enhance competitive positioning. The growth of technologies such as machine learning, artificial intelligence, and cloud computing has enabled more efficient processing and analysis of massive datasets, leading to improvements in customer experience, operational efficiency, and strategic decision-making.

The global market for big data analytics is expected to grow rapidly, with sectors like healthcare, finance, retail, and manufacturing leading the way in adopting big data solutions.

The revenue is forecast to experience significant growth in all regions in 2029. From the selected regions, the ranking by revenue in the data center market is forecast to be led by the United States with 212.06 billion U.S. dollars. In contrast, the ranking is trailed by the United Kingdom with 23.76 billion U.S. dollars, recording a difference of 188.3 billion U.S. dollars to the United States. Find further statistics on other topics such as a comparison of the revenue in the world and a comparison of the revenue in the United States.The Statista Market Insights cover a broad range of additional markets.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just 2 percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

The global big data analytics market size was valued at $307.52 billion in 2023 & is projected to grow from $348.21 billion in 2024 to $961.89 billion by 2032

The global big data and business analytics (BDA) market was valued at ***** billion U.S. dollars in 2018 and is forecast to grow to ***** 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 ** 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 **** 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 **** 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.

The global big data analytics market in the energy sector, size growing at a CAGR of 11.08% during the forecast period (2023–2031) and North America dominates the global market
Report Scope:

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.

The global big data analytics market will grow with a compound annual growth rate of almost ** percent in the coming years, with revenue reaching over ** billion U.S. dollars by 2025 from around ** billion U.S. dollars in 2019.

The Big Data Analytics in Banking Market is Segmented by Type of Solutions (Data Discovery and Visualization (DDV) and Advanced Analytics (AA)), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD Million) for all the Above Segments.

The global big data analytics in retail market size is projected to reach USD 40.88 billion by 2030, growing at a CAGR of 23.2% and North America is the most significant shareholder in the global market.
Report Scope:

Introduction

Big Data Statistics: By 2025, the world is expected to generate an unimaginable 181 zettabytes of data, representing an average annual growth rate of 23.13%, with 2.5 quintillion bytes created daily. This indicates an influx of roughly 29 terabytes every second, yes, you read it right.

While over 97% of businesses are now investing in Big Data, only about 40% are truly effective at leveraging analytics. The global Big Data analytics market, valued at approximately $348.21 billion in 2024, is on a trajectory to reach over $961.89 billion by 2032, exhibiting a robust CAGR of 13.5%.

The dominance of some unstructured data, which constitutes about 90% of all global data, underscores the complex statistical challenge. Industries, from healthcare, which could save up to $300 billion annually in the US alone through data initiatives, to entertainment, where Netflix saves an estimated $1 billion per year using data-driven recommendation algorithms, which are being fundamentally changed by Big Data. So, let's dive deeper into this stats article discussing everything about big data from its current insights to future forecasts. Let’s get started.

In 2024, spending on digital transformation (DX) is projected to reach 2.5 trillion U.S. dollars. By 2027, global digital transformation spending is forecast to reach 3.9 trillion U.S. dollars. What is digital transformation? Digital transformation refers to the adoption of digital technology to transform business processes and services from non-digital to digital. This encompasses, among others, moving data to the cloud, using technological devices and tools for communication and collaboration, as well as automating processes. What is driving digital transformation? Digital transformation growth is due to several contributing factors. Among these was COVID-19 pandemic, which has increased the digital transformation tempo in organizations around the globe in 2020 considerably. Although the pandemic is over, working from home among organizations globally has not only remained, but also increased, increasing the drive for digital transformation. Other contributing causes include customer demand and the need to be on par with competitors. Overall, utilizing technologies for digital transformation render organizations more agile in responding to changing markets and enhance innovation, thereby making them more resilient.

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.

The intersection of Artificial Intelligence (AI), Big Data Analytics, and the Internet of Things (IoT) is transforming industries worldwide, paving the way for unprecedented advancements and efficiencies. As organizations increasingly harness the power of data, the AI in Big Data Analytics and IoT market is experien

The Big Data Analytics and Hadoop market has emerged as a cornerstone of modern enterprise strategy, enabling organizations to harness vast volumes of data for insightful decision-making. As businesses increasingly generate and collect data across numerous channels-from customer interactions to operational processes

The U.S. Healthcare Big Data Analytics is projected to be valued at $45 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 25%, reaching approximately $150 billion by 2034.

IT spending worldwide is projected to reach over 5.7 trillion U.S. dollars in 2025, over a nine percent increase on 2024 spending. Smaller companies spending a greater share on hardware According to the results of a survey, hardware projects account for a fifth of IT budgets across North America and Europe. Larger companies tend to allocate a smaller share of their budget to hardware projects. Companies employing between one and 99 people allocated 31 percent of the budget to hardware, compared with 29 percent in companies of five thousand people or more. This could be explained by the greater need to spend money on managed services in larger companies. Not all companies can reduce their spending While COVID-19 has the overall effect of reducing IT spending, not all companies will face the same experiences. Setting up employees to comfortably work from home can result in unexpected costs, as can adapting to new operational requirements. In a recent survey of IT buyers, 18 percent of the respondents said they expected their IT budgets to increase in 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Survey on the Use of Information and Communication Technologies and Electronic Commerce in Companies: Big Data Analysis. Autonomous communities and cities.