Case Study — May 26, 2026
Transforming a Hyperscaler’s Corporate Development Strategy with AI-Powered M&A Insights
Key Highlights
- Data pulled from GenAI tools are cited in outputs and all data is transparent with detailed methodologies sodeals teams can transact and execute corporate growth strategies with confidence.
- Since adopting the newly enhanced S&P Capital IQ Pro features, the corporate development team has been able to reimagine its workflows and significantly cut down the total deal financing analysis process to meet the demands of the fast-paced market.
THE CLIENT:
A global, large-cap hyperscaler technology company.
USERS:
The corporate development team, including analysts and managers.
High growth companies in the “Magnificent 7 “complete acquisitions and funding across a wide swath of companies, from cloud to AI, consumer technology, datacenters, logistics, and more. Deals span strategic assets to company takeovers and transaction values ranging from tens of millions to several billion dollars.
Hyperscalers are ramping up capital expenditure to meet the demand for AI infrastructure and services, fueling a wave of GenAI and data center deals over the past year.
The Corporate Development team needed robust, high quality private company data to source deals, advanced qualitative and quantitative company signals for valuations, and deep, but wide-ranging performance insights to structure post-deal financing. The speed of innovation has raised the bar on M&A, pushing the teams to adopt GenAI-enabled deal making strategies.
“Data pulled from GenAI tools are cited in outputs and all data is transparent with detailed methodologies so deals teams can transact and execute corporate growth strategies with confidence.”
Pain Points
The Corporate Development team needed to source competitive intelligence and private company data to support transactions and financing. Quickly extracting niche insights on comparable deals across many segments was critical to their workflow. Uncovering strategic insights from transcripts, financials, and investment research remained a manual, multi-platform process.
S&P Global Market Intelligence helped with:
- Streamlining deal ideation and market mapping
- Identifying headcount and corporate growth trends
- Reducing time-to-insight for text-heavy documents, such as transcripts, filings, or research reports
- Enhancing deal comparables for niche, emerging markets
- Upgrading modeling strategies and tools
The Solution
The S&P Capital IQ Pro platform and its upgraded AI-powered features allow for accelerated qualitative and quantitative dealmaking research all in one browser. Data pulled from GenAI tools are cited in outputs and all data is transparent with detailed methodologies, so deals teams can transact and execute corporate growth strategies with confidence. Decisions are backed by trusted, high quality data solutions and differentiated data sets to deliver an edge in fast-paced M&A environments.
How S&P Capital IQ Pro Solved Each Pain Point:
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Market Maps |
View companies operating in niche industries with Topic Tags and Market Maps to provide a holistic view in a specific niche market. Hundreds of market maps to choose from, including emerging, high growth industries like Cloud, AI and Data Centers. |
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AI-Assisted Screening |
Natural language screening to generate Transactions screening criteria and AI-Supported Private Company comps. Streamlines market mapping and comparable analysis. Topic tags and our MI industry classification accurately identify desired companies. |
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Document Intelligence |
Efficiently discover, analyze, and extract information from text-based content, including Filings, Transcripts, News, and Investment Research across multiple documents simultaneously. Uncover key phrases, summaries, sentiment scores for transcripts and more. You can also instantly get answers to natural language questions about a document by using the AI-powered assistant, ChatIQ. |
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Private Company Data |
Go beyond surface-level information about private companies with our differentiated coverage of 60M global firms. Our AI-powered niche industry classifications provide granular insights into a company’s operations so you can quickly surface trends, new opportunities, major players, and valuations. Deliver deeper assessments of growth potential with a wider range of financial metrics, ownership, and operational insights at your fingertips. |
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Headcount Analytics |
Insights on 4.5M+ private companies with monthly updates since 2010, covering roles, departments, geography, tenure, employee trends, and peer comparisons. Overlay headcount with rounds of funding coverage to illustrate the use of proceeds and growth trajectory. Evaluate pre-and post-M&A structures to identify redundancies/gaps, retention, etc. |
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ChatIQ |
A Generative AI-powered assistant that lets you ask questions on S&P Capital IQ Pro data - providing significant time-saving responses and simplifying navigation throughout S&P Capital IQ Pro. Assess peer performance, SWOT, and developments. Evaluate industry trends, conditions, and customer behavior. |
The Impact:
Since adopting the newly enhanced S&P Capital IQ Pro features, the corporate development team has been able to reimagine its workflows and significantly cut down the total deal financing analysis process to meet the demands of the fast-paced market. This allowed them to finance and green-light more deals that year to help execute their corporate growth strategy.
Streamlined valuations work and competitive analysis research impact many parts of the deal lifecycle and has improved their insights for better-informed M&A financing and deal structures. The high-quality, differentiated data with transparent methodologies and citations have also played a large part in delivering an edge to the team’s analysis.
Get started and implement these strategies.
Deal analysis needs to be defensible. Niche datapoints are critical for testing your M&A hypothesis. Financing drives deals trough to completion for true value creation.
Click here to explore S&P Capital IQ Pro and the AI-powered tools mentioned in this case study.
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