The global business data visualization tools market size was valued at USD 6.0 billion in 2025 and is projected to grow from USD 7.3 billion in 2026 to USD 19.5 billion by 2033, exhibiting a CAGR of 13.4% during the forecast period. The growing need for data-driven decision-making, increasing adoption of cloud-based solutions, and advancements in artificial intelligence (AI) and machine learning (ML) technologies are the primary factors driving the market growth. North America is expected to dominate the market throughout the forecast period due to the presence of a large number of established vendors and early adoption of advanced technologies. Asia Pacific is projected to grow at the highest CAGR during the forecast period, owing to the increasing adoption of data visualization tools in emerging economies, such as China and India. Key players in the market include Microsoft, Tableau (Salesforce), IBM, MicroStrategy, Oracle America, TIBCO Software, Domo, SAP, QlikTech, and SAS Institute.

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Business Information Market Size 2025-2029

The business information market size is forecast to increase by USD 79.6 billion, at a CAGR of 7.3% between 2024 and 2029.

The market is characterized by the increasing demand for customer-centric solutions as enterprises adapt to evolving customer preferences. This shift necessitates the provision of real-time, accurate, and actionable insights to facilitate informed decision-making. However, this market landscape is not without challenges. The threat of data misappropriation and theft looms large, necessitating robust security measures to safeguard sensitive business information. As businesses continue to digitize their operations and rely on external data sources, ensuring data security becomes a critical success factor. Companies must invest in advanced security technologies and implement stringent data protection policies to mitigate these risks. Navigating this complex market requires a strategic approach that balances the need for customer-centric solutions with the imperative to secure valuable business data.

What will be the Size of the Business Information Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In today's data-driven business landscape, the continuous and evolving nature of market dynamics plays a pivotal role in shaping various sectors. Data integration solutions enable seamless data flow between different systems, enhancing cloud-based business applications' functionality. Data quality management ensures data accuracy and consistency, crucial for strategic planning and customer segmentation. Data infrastructure, data warehousing, and data pipelines form the backbone of business intelligence, facilitating data storytelling and digital transformation. Data lineage and data mining reveal valuable insights, fueling data analytics platforms and business intelligence infrastructure. Data privacy regulations necessitate robust data management tools, ensuring compliance and protecting sensitive information.

Sales forecasting and business intelligence consulting offer valuable industry analysis and data-driven decision making. Data governance frameworks and data cataloging maintain order and ethics in the vast expanse of big data analytics. Machine learning algorithms, predictive analytics, and real-time analytics drive business intelligence reporting and process modeling, leading to business process optimization and financial reporting software. Sentiment analysis and marketing automation cater to customer needs, while lead generation and data ethics ensure ethical business practices. The ongoing unfolding of market activities and evolving patterns necessitate the integration of various tools and frameworks, creating a dynamic interplay that fuels business growth and innovation.

How is this Business Information Industry segmented?

The business information industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  BFSI
  Healthcare and life sciences
  Manufacturing
  Retail
  Others


Application

  B2B
  B2C


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW). 

By End-user Insights

The bfsi segment is estimated to witness significant growth during the forecast period.

In the dynamic business landscape, data-driven insights have become essential for strategic planning and decision-making across various industries. The market caters to this demand by offering solutions that integrate and manage data from multiple sources. These include cloud-based business applications, data quality management tools, data warehousing, data pipelines, and data analytics platforms. Data storytelling and digital transformation are key trends driving the market's growth, enabling businesses to derive meaningful insights from their data. Data governance frameworks and policies are crucial components of the business intelligence infrastructure. Data privacy regulations, such as GDPR and HIPAA, are shaping the market's development.

Data mining, predictive analytics, and machine learning algorithms are increasingly being used for sales forecasting, customer segmentation, and churn prediction. Business intelligence consulting and industry analysis provide valuable insights for organizations seeking competitive advantage. Data visualization dashboards, market research databases, and data discovery tools facilitate data-driven decision making. Sentiment analysis and predictive analytics are essential for marketing automation and business

Data Broker Service Market Outlook

The global data broker service market size is projected to grow from USD 250 billion in 2023 to an estimated USD 450 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.7%. This substantial growth can be attributed to increasing digitalization, the exponential rise of data-driven decision-making across industries, and the growing realization of the value derived from data analytics. As businesses continue to recognize the potential of leveraging consumer, business, financial, and health data, the demand for data brokerage services is poised to expand significantly.

One of the primary growth factors for the data broker service market is the increasing importance of data in driving business strategies and operations. Companies are increasingly relying on consumer and market data to gain insights into market trends, consumer behavior, and competitive landscapes. This surge in data utilization across sectors such as retail, healthcare, and finance is propelling the demand for data brokerage services that can provide accurate and comprehensive data sets. The proliferation of digital platforms and the Internet of Things (IoT) has further amplified the volume of data generated, thus boosting the need for efficient data brokerage services.

Moreover, advancements in artificial intelligence (AI) and machine learning (ML) technologies are significantly contributing to the market's growth. These technologies enable enhanced data analysis, predictive analytics, and real-time decision-making, making data brokerage services more valuable. Businesses are increasingly investing in AI and ML to analyze large datasets more efficiently and extract actionable insights. Data brokers, in turn, are leveraging these technologies to offer more sophisticated and tailored data solutions, thus attracting a broader customer base.

Privacy regulations and data protection laws are also playing a crucial role in shaping the data broker service market. While these regulations pose challenges, they also create opportunities for compliant data brokers to differentiate themselves in the market. Companies are more inclined to partner with data brokers that demonstrate robust data governance practices and adhere to regulatory requirements. This trend is driving the market towards more ethical and transparent data brokerage practices, increasing the trust and credibility of data brokers among businesses and consumers alike.

The regional outlook for the data broker service market highlights North America as a dominant player, primarily due to the high adoption of data-driven strategies among businesses and the presence of major data brokerage firms. Europe follows closely, driven by stringent data protection regulations like GDPR, which necessitate secure and compliant data handling. The Asia Pacific region is expected to witness the fastest growth, fueled by the rapid digital transformation in countries like China and India and the increasing use of data analytics in various industries. Latin America and the Middle East & Africa regions are also showing promising growth, supported by the rising awareness of data's strategic value and increasing investments in data analytics infrastructure.

Data Type Analysis

The data broker service market by data type comprises consumer data, business data, financial data, health data, and other categories. Consumer data is one of the most significant segments within this market. This type of data includes information on consumer behavior, preferences, purchasing patterns, and demographics. Businesses leverage consumer data to tailor their marketing strategies, enhance customer experiences, and drive sales growth. The increasing use of digital platforms for shopping, social interaction, and information consumption is continually generating vast amounts of consumer data, thereby fueling the demand for consumer data brokerage services.

Business data, encompassing company profiles, industry trends, and competitive intelligence, is another vital segment. Organizations require business data to strategize market entry, expansion, and competitive positioning. Data brokers play a crucial role in aggregating and providing actionable business insights that help companies navigate complex market dynamics. The rise of global trade, the need for cross-border business intelligence, and the growing importance of data-driven decision-making in corporate strategies are driving the demand for business data brokerage services.

Financial data is crucial for sectors like banking, fina

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Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. This report, which analyzes loan data from June 2019 to June 2020, examines the small business lending market at the beginning of the COVID-19 pandemic. Small business loans (loans below $1 million) increased by nearly 40% from 2019 to 2020, largely due to the newly enacted Paycheck Protection Program. Alongside the report, the appendix tables provide bank level detail of small business lending activity and breakdowns at the state level.

Global Data Warehousing market size is expected to reach $69.64 billion by 2029 at 16.6%, fueling the growth of the data warehousing market

The size of the Business Analytics Market market was valued at USD 84.42 USD Billion in 2023 and is projected to reach USD 143.75 USD Billion by 2032, with an expected CAGR of 7.9% during the forecast period. Business Analytics is defined as the process of analyzing business data, trends, and patterns and creating effective business model forecasts for business performance enhancement. It includes several categories, such as descriptive which deal with past data, diagnostic which focuses on why outcomes occurred, predictive which determines future trends, and prescriptive which gives how decisions should be made. Some of the features range from data acquisition, data parameterization, data analysis, and data representation. They apply across the spectrum of disciplines that include finance, economics, marketing, and customer profiling as well as the analysis of operations. Concisely, the mentioned tools and techniques enable one to make the right choices, improve strategic management, and increase competitive advantage. Key drivers for this market are: Burgeoning Demand for Big Data Analytics among Organizations to Aid Market Growth. Potential restraints include: Lack of Awareness about Cyber Security and Vulnerability to Hinder Growth.

View Data Breach Notification Reports, which include how many breaches are reported each year and the number of affected residents.

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.

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The Business Data Management System (BDMS) market has seen significant evolution in recent years, becoming an essential component for organizations striving to harness the power of their data. BDMS solutions facilitate the seamless collection, storage, retrieval, and analysis of data, helping businesses transform ra

Global Data Integration market size is expected to reach $25.69 billion by 2029 at 14%, big data technologies' surge fuels accelerated growth in the data integration market

Global Data Center Services market size is expected to reach $151.47 billion by 2029 at 15.8%, segmented as by services, installation and integration services, training services, consulting services, maintenance and support, other services

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The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** 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 * 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 **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

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Enterprise Data Management Market Outlook 2032

The global enterprise data management market size was USD 96.2 Billion in 2023 and is projected to reach USD 240.2 Billion by 2032, expanding at a CAGR of 10.7% during 2024–2032. The market growth is attributed to the growing demand for efficient data management systems.



The global EDM market is witnessing a rising trend, driven by several factors. The increasing volume of business data, coupled with the growing need for data security and privacy, is propelling the demand for robust data management solutions. Furthermore, the advent of advanced technologies such as artificial intelligence, machine learning, and big data analytics is opening new avenues for the growth of the market.

The ongoing digital transformation across various industries is creating a need for effective data management solutions. Moreover, the growing adoption of cloud-based services and solutions is expected to further boost the market. Businesses are increasingly recognizing the value of data as a strategic asset and are investing in EDM solutions to harness its potential, thereby driving market growth.

Impact of Artificial Intelligence (AI) on Enterprise Data Management Market

Artificial Intelligence has a positive impact on the enterprise data management market. It streamlines data processing, enhances data quality, and accelerates decision-making processes. AI-powered tools analyze vast amounts of data, identify patterns, and generate insights, thereby reducing human error and improving efficiency.

Enterprise Data Management Market Dynamics

Major Drivers

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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.