Big Data Procurement Intelligence Report, 2023 - 2030 (Revenue Forecast, Supplier Ranking & Matrix, Emerging Technologies, Pricing Models, Cost Structure, Engagement & Operating Model, Competitive Landscape)

Every organization and its procurement team look forward to negotiating the best deal while procuring a set of products or subscribing to services. Rate benchmarking involves price/cost comparison of more than one set of products/services to analyze the most efficient combination that can potentially help the procurement team in getting the optimum rate.

The geographical location and nature of the business play a vital factor in analyzing the rate benchmarking of big data category. For example, big data services in the U.S. are typically more expensive than services in India. For instance, Oracle Big Data Service (OBDA) is a cloud-based platform offering data storage, processing, and analytics. Its pay-as-you-go model starts at USD 0.0319 per vCPU per hour, influenced by skilled labor availability and regulatory environment. The cost of big data services varies depending on the scale of the project. For example, a small business that is simply looking to implement a big data-based solution will likely pay less than a large enterprise that is looking to build a bigger big data-based platform. Smaller big data-based applications will be less expensive to develop and maintain than larger applications. This is because smaller applications will require less data storage, processing power, and analysis. Additionally, the cost of labor will be lower for smaller applications, as there will be fewer developers and analysts required to build and maintain the application.

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Labor cost is one of the key components of the total incurred costs while offering a product or service. Therefore, an organization must decide on whether the focus category should be retained in-house or outsourced if the organization is providing its products or services at competitive prices. If the organization decides in favor of outsourcing, it must understand the difference in the salary structures of suppliers before selecting a supplier and formulating a negotiation strategy.

According to our research, big data developers at IBM and HP receive a 12% - 15% higher base salary compared to the salary received by developers working in companies such as Oracle and Cloudera. However, the year-on-year increment rate in all these companies majorly depends on the Key Result Areas (KRAs).

Organizations may find it cumbersome to continuously track all the latest developments in their supplier landscape. Outsourcing the activities related to gathering intelligence allows organizations to focus on their core offerings. At this juncture, our newsletter service can help organizations stay updated with the latest developments and innovations and subsequently assist in preventing disruptions in the supply chain. We have identified the following developments within the big data category over the last two years:

 In January 2023, Google Cloud announced that it had acquired Cerebras Systems, a leading provider of wafer-scale AI chips. This acquisition will allow Google Cloud to offer customers more powerful and scalable AI solutions by expanding its AI capabilities. Cerebras Systems' wafer-scale AI chips can process massive amounts of data at high speeds. This will allow Google Cloud to provide customers with AI solutions that are more powerful and scalable than ever before.

In December 2022, Microsoft announced that it had acquired Databricks, a leading provider of cloud-based data analytics platforms. This acquisition will enable Microsoft to provide customers with a more comprehensive big data platform by augmenting its big data analytics capabilities. Databricks and its acquisition will give Microsoft a significant foothold in the big data analytics market. The acquisition will also allow Microsoft to offer customers a more integrated platform for data analytics, from data ingestion to machine learning.

In November 2022, IBM announced that it had acquired Databand.ai, a leading provider of data observability solutions. IBM will be able to provide customers with a more comprehensive data observability platform as a result to this acquisition, which will increase its data reliability capabilities. Databand.ai's platform helps businesses track the health of their data pipelines and identify issues early on, before they cause problems. This will give IBM customers a significant advantage in terms of data quality and reliability.

In October 2022, AWS announced that it had acquired Sensalytics, a leading provider of IoT data analytics solutions. By enhancing its IoT data analytics capabilities, this acquisition will enable AWS to provide customers with a more complete IoT data analytics platform. Sensalytics' platform helps businesses collect, analyze, and visualize data from IoT devices. This will give AWS customers a significant advantage in terms of understanding and acting on data from their IoT devices.