AI-Powered Cognitive Search Platforms: Unveiling High-Growth Enterprise SaaS Leaders in the AI Infrastructure Stack

A dynamic infographic illustrating the exponential growth of the AI-powered cognitive search market from $3.5 billion in 2024 to $12.3 billion by 2033, with key players like OpenEvidence, Glean, and NVIDIA highlighted alongside their valuation milestones.

Bar chart comparing revenue multiples across AI sectors in Q1 2025: LLM Vendors (44.1x), Search Engine companies (30.9x), and other AI categories (e.g., Infrastructure, Analytics). Include data points for OpenEvidence ($3.5B valuation), Glean ($7.25B valuation), and NVIDIA (market cap as of 2025).

The AI-powered cognitive search sector has emerged as a cornerstone of the enterprise SaaS landscape, driven by the urgent need for intelligent data discovery and real-time decision-making. As of 2025, this market is projected to expand from $3.5 billion in 2024 to $12.3 billion by 2033, fueled by a 15.2% compound annual growth rate (CAGR), according to a market report. This surge is underpinned by the integration of advanced AI infrastructure, which enables scalable, context-aware search solutions across industries. For investors, identifying leaders in this space requires a nuanced understanding of both technological innovation and financial performance.

Market Dynamics and Valuation Trends

The Forbes Cloud 100 report underscores the transformative role of AI, with AI companies now accounting for 42% of the cohort's $1.1 trillion valuation-double the 21% share in 2024 Forbes Cloud 100 report. This shift reflects investor confidence in AI-first business models, particularly those leveraging cognitive search. Q1 2025 valuation data reveals stark disparities: LLM vendors command an average revenue multiple of 44.1x, while cognitive search platforms trade at 30.9x, driven by their low marginal costs and defensible monetization strategies, per the valuation benchmarks.

High-Growth SaaS Leaders in Cognitive Search

1. OpenEvidence
   OpenEvidence, a medical AI search platform, exemplifies the sector's potential. In July 2025, it raised $210 million in a Series B round at a $3.5 billion valuation. Its revenue trajectory is equally compelling: annualized revenue surged to $50 million in June 2025, growing at a 30% monthly rate from $7.9 million in December 2024, according to the market report. This performance positions OpenEvidence as a leader in vertical-specific AI, addressing critical inefficiencies in healthcare information management.

2. Glean
   Glean, an enterprise search platform, has become a benchmark for unified information access. Its June 2025 Series F round raised $150 million, valuing the company at $7.25 billion (Forbes Cloud 100 report). By Q4 2025, Glean achieved $100M ARR, demonstrating its ability to scale in large enterprises. The platform's integration with over 100 tools-including Jira, Confluence, and Slack-enables real-time, context-aware search, making it indispensable for organizations prioritizing operational agility.

3. Rezolve SearchIQ
   Rezolve SearchIQ distinguishes itself with agentic AI capabilities, offering personalized, role-based search results and answer summarization with citations. Its seamless integration with IT and HR workflows makes it a strategic asset for enterprises seeking to streamline support operations (valuation benchmarks). While specific financials are less publicized, its inclusion in 2025's AI 50 list by Forbes highlights its disruptive potential (Forbes Cloud 100 report).

Infrastructure Enablers: NVIDIA and AWS

The success of these SaaS platforms hinges on robust AI infrastructure. NVIDIA, a dominant force in AI compute, continues to lead with its Blackwell architecture, powering training and inference for global enterprises (Forbes Cloud 100 report). Meanwhile, AWS provides scalable GPU solutions, enabling cognitive search platforms to handle large-scale data processing (Glean press release). These infrastructure providers form the backbone of the ecosystem, ensuring that SaaS companies can deliver high-performance solutions without overhauling their hardware.

Strategic Investment Considerations

For investors, the cognitive search sector presents a unique confluence of high-growth potential and defensible business models. Key metrics to monitor include:
- Revenue Growth: OpenEvidence's 30% MoM growth and Glean's $100M ARR highlight the scalability of AI-driven SaaS.
- Valuation Multiples: Cognitive search platforms trade at 30.9x revenue, reflecting their ability to monetize AI efficiently (valuation benchmarks).
- Vertical Specialization: Companies like OpenEvidence, which target niche markets (e.g., healthcare), often achieve faster adoption due to tailored solutions.

However, risks persist. The sector's reliance on rapid technological iteration means that companies must continuously innovate to maintain their edge. Additionally, regulatory scrutiny around AI ethics and data privacy could impact long-term margins, particularly for platforms handling sensitive information.

Conclusion

The AI-powered cognitive search market is at an inflection point, driven by enterprises' demand for smarter data access and decision-making. OpenEvidence, Glean, and Rezolve SearchIQ stand out as leaders, combining cutting-edge AI with scalable SaaS models. For investors, these companies represent not just high-growth opportunities but also the potential to redefine how industries leverage information in the AI era. As infrastructure providers like NVIDIA and AWS continue to lower technical barriers, the cognitive search sector is poised to deliver outsized returns for those who act decisively.