B2B Spend Tracking Insights

B2B Spend Tracking Insights
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Understanding Business to Business (B2B) spending patterns has always been a complex puzzle for companies across the globe. Historically, gaining insights into this area was fraught with challenges, as firms relied on antiquated methods to gauge market dynamics. Before the digital revolution, businesses had to depend on manual surveys, anecdotal evidence, and rudimentary financial reports to make sense of B2B spending trends. This often resulted in delayed and sometimes inaccurate data, leaving companies in the dark about real-time changes in the market.

The advent of sensors, the internet, and connected devices has dramatically transformed the landscape. The proliferation of software and the digitization of business processes have made it possible to store and analyze every transaction, no matter how small. This shift towards digital data collection has opened up new avenues for understanding B2B spending patterns in real-time, providing businesses with the insights needed to make informed decisions.

The importance of data in unraveling the complexities of B2B spending cannot be overstated. In the past, businesses had to wait weeks or even months to understand market changes. Now, with the right data, changes in B2B spending can be monitored as they happen, allowing businesses to adapt quickly to market dynamics. This real-time data has become a crucial tool for companies looking to stay competitive in the fast-paced business environment.

However, not all data is created equal. To truly understand B2B spending patterns, businesses need access to specific categories of data that can provide deep insights into how companies are allocating their budgets. This article will explore how various types of data can help business professionals better understand B2B spending, enabling them to make better decisions and drive their companies forward.

Technology Data Insights

The role of technology in business operations has been expanding at an unprecedented rate, making technology spend data a critical component of understanding overall B2B spending. This category of data encompasses information on investments in digital infrastructure products globally, including software, hardware, and IT services. The acceleration of digital transformation initiatives across industries has led to a significant increase in technology-related expenditures, making this data more relevant than ever.

Historically, technology spend data was difficult to track due to the fragmented nature of IT investments. Advances in data collection and analytics have made it possible to aggregate and analyze technology spending across sectors, providing valuable insights into trends and patterns. This data is particularly useful for roles such as IT managers, financial analysts, and strategic planners who are tasked with optimizing technology investments to support business objectives.

Specific uses of technology spend data include:

  • Identifying industry trends: By analyzing technology spend data, businesses can identify emerging trends in digital infrastructure investments, helping them stay ahead of the curve.
  • Benchmarking: Companies can use this data to benchmark their technology spending against industry averages, ensuring they are investing appropriately in digital capabilities.
  • Strategic planning: Insights from technology spend data can inform strategic planning processes, enabling businesses to allocate resources more effectively to drive growth.

Consumer Behavior Insights

Understanding consumer behavior is crucial for businesses operating in B2B markets, as it indirectly influences B2B spending patterns. Consumer behavior data, particularly in the context of credit bureau/rating data in specific regions, provides a unique lens through which to view B2B spending. This data category includes information on credit-based purchases, loans, and scores for both consumers and businesses, offering insights into the financial health and purchasing power of potential B2B clients.

Historically, access to detailed consumer credit information was limited, making it challenging for businesses to assess the creditworthiness of potential B2B clients. The availability of comprehensive credit bureau data has changed this, enabling businesses to make more informed decisions about whom to engage with in the B2B space.

Specific uses of consumer behavior data in understanding B2B spending include:

  • Risk assessment: By analyzing credit data, businesses can assess the financial risk associated with engaging with certain B2B clients, helping to mitigate potential losses.
  • Market segmentation: Credit data can be used to segment the market based on financial health, enabling businesses to tailor their offerings to different segments.
  • Strategic partnerships: Insights from consumer behavior data can help businesses identify potential strategic partners with strong financial standings.


The importance of data in understanding B2B spending patterns cannot be overstated. As businesses continue to navigate the complexities of the global market, access to relevant data categories will be crucial in making informed decisions. Technology spend data and consumer behavior insights are just two examples of how data can provide a deeper understanding of B2B spending, enabling businesses to strategize more effectively.

As organizations become more data-driven, the ability to discover and leverage the right data will be critical to success. The future of B2B spending analysis will likely see the emergence of new data types, offering even more insights into market dynamics. Companies that can effectively harness these data resources will be well-positioned to lead in their respective industries.

The monetization of data is another trend that is gaining momentum, with corporations increasingly looking to sell useful data that they have been creating for decades. This shift not only opens up new revenue streams but also provides businesses with access to a wealth of information that was previously untapped.


Industries and roles that could benefit from access to B2B spend data include investors, consultants, insurance companies, and market researchers. These professionals face unique challenges in understanding market dynamics and making strategic decisions. Data has transformed these industries by providing actionable insights that were previously inaccessible.

Looking to the future, artificial intelligence (AI) has the potential to unlock even greater value from data. AI algorithms can analyze vast amounts of information, including decades-old documents and modern government filings, to uncover patterns and insights that can inform strategic decisions. As the volume and variety of data continue to grow, the role of AI in data analysis will become increasingly important, offering new opportunities for businesses to gain a competitive edge.

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