Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

MIT brain scans suggest that using GenAI tools reduces cognitive activity

Recent AI Funding Flows Into Four ‘F’s: Food, Fitness, Fashion, Finance

AI disruption rises, VC optimism cools in H1 2025

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Facebook X (Twitter) Instagram
Advanced AI News
Home » IBM vs. Oracle: Which Hybrid Cloud Stock Offers Better Growth? – June 19, 2025
IBM

IBM vs. Oracle: Which Hybrid Cloud Stock Offers Better Growth? – June 19, 2025

Advanced AI EditorBy Advanced AI EditorJune 20, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Key Takeaways

IBM is gaining from hybrid cloud and AI demand, aided by acquisitions like HashiCorp and StreamSets. ORCL saw 51% IaaS revenue growth and expects cloud infrastructure revenue to rise 70% in fiscal 2026. IBM outperformed ORCL in share price gains over the past year and trades at a lower forward P/E ratio.

International Business Machines Corporation (IBM Quick QuoteIBM – Free Report) and Oracle Corporation (ORCL Quick QuoteORCL – Free Report) are two leading players in the hybrid cloud infrastructure and database services. 

IBM offers cloud and data solutions that aid enterprises in digital transformation. In addition to hybrid cloud services, the company provides advanced information technology solutions, computer systems, quantum computing and supercomputing solutions, enterprise software, storage systems and microelectronics.

Oracle is one of the largest enterprise-grade database, middleware and application software providers. The company has expanded its cloud computing operations over the last couple of years. It offers cloud solutions and services that can be used to build and manage various cloud deployment models. Built upon open industry standards such as SQL, Java and HTML5, Oracle Cloud provides access to application services, platform services and infrastructure services for a subscription. Through its Oracle Enterprise Manager offering, the company manages cloud environments. 

With a focus on hybrid cloud and AI (artificial intelligence), both IBM and Oracle are strategically positioned in the cloud infrastructure market and have the wherewithal to cater to the evolving demands of business enterprises. Let us delve a little deeper into the companies’ competitive dynamics to understand which of the two is relatively better placed in the industry.

The Case for IBM

IBM is poised to benefit from healthy demand trends for hybrid cloud and AI, which drive the Software and Consulting segments. The company’s growth is expected to be aided by analytics, cloud computing and security in the long term. A combination of a better business mix, improving operating leverage through productivity gains and increased investment in growth opportunities will likely drive profitability. 

With a surge in traditional cloud-native workloads and associated applications, and a rise in generative AI deployment, there is a radical expansion in the number of cloud workloads that enterprises are currently managing. This has resulted in heterogeneous, dynamic and complex infrastructure strategies, which, in turn, have led firms to undertake a cloud-agnostic and interoperable approach to highly secure multi-cloud management. IBM’s acquisition of HashiCorp is a probable ploy to address these issues. The integration of HashiCorp’s cloud software capabilities has strengthened IBM’s hybrid multi-cloud approach. IBM completed the acquisitions of StreamSets and webMethods from Software AG to augment its AI platform and automation capabilities. The buyouts bring together leading capabilities in integration, API management and data ingestion.  

Despite solid hybrid cloud and AI traction, IBM is facing stiff competition from Amazon Web Services and Microsoft Corporation’s (MSFT Quick QuoteMSFT – Free Report) Azure. Increasing pricing pressure is eroding margins, and profitability has trended down over the years, barring occasional spikes. The company’s ongoing, heavily time-consuming business model transition to the cloud is a challenging task. Weakness in its traditional business and foreign exchange volatility remain significant concerns.

The Case for Oracle

Oracle’s cloud infrastructure business has witnessed healthy demand trends in fiscal 2025 with Infrastructure-as-a-Service revenue surging 51% to $10.2 billion and total cloud services increasing 24% year over year to $24.5 billion. The company’s differentiated cloud architecture, designed specifically for enterprise workloads, continues to attract customers seeking superior performance and capabilities. Management expects cloud infrastructure revenues to grow more than 70% in fiscal 2026. This, in turn, is likely to help Oracle capture a greater pie of the rapidly expanding cloud infrastructure market, particularly as enterprises migrate mission-critical workloads to the cloud, seeking better performance and cost economics. 

The company’s Oracle 23 AI database represents a transformative AI data platform, uniquely positioned to make enterprise data immediately available to popular large language models while maintaining complete data privacy. This AI-centric approach addresses the critical enterprise need to leverage AI with proprietary data, creating a powerful growth driver that management describes as foundational to the company’s expanding market opportunity and competitive differentiation. 

However, Oracle’s multi-cloud approach offers significant technical complexity and operational risks that could undermine service reliability and customer satisfaction. Managing Oracle database services across Amazon Web Services, Microsoft Azure and Google Cloud Platform creates multiple points of failure and increases support complexity exponentially. The company’s expansion to several multi-cloud data centers amplifies these integration challenges while dividing management attention across competing platforms. Oracle’s cloud infrastructure business also faces overwhelming competition from Amazon Web Services, Microsoft Azure and Google Cloud Platform. The company’s multi-cloud strategy inadvertently validates competitors’ platforms, potentially cannibalizing its own Oracle Cloud Infrastructure adoption and undermining long-term competitive positioning.

How Do Zacks Estimates Compare for IBM & ORCL?

The Zacks Consensus Estimate for IBM’s 2025 sales and EPS implies year-over-year growth of 5.5% and 6%, respectively. The EPS estimates have been trending northward over the past 60 days.

Zacks Investment Research
Image Source: Zacks Investment Research

The Zacks Consensus Estimate for Oracle’s 2025 sales and EPS implies year-over-year growth of 16.1% and 11.3%, respectively. The EPS estimates have been trending northward over the past 60 days.

Zacks Investment Research
Image Source: Zacks Investment Research

Price Performance & Valuation of IBM & ORCL

Over the past year, IBM has gained 62.9% compared with the industry’s growth of 4%. Oracle has jumped 47.5% over the same period.

Zacks Investment Research
Image Source: Zacks Investment Research

IBM looks more attractive than Oracle from a valuation standpoint. Going by the price/earnings ratio, IBM’s shares currently trade at 25.11 forward earnings, significantly lower than 31.27 for Oracle.

Zacks Investment Research
Image Source: Zacks Investment Research

IBM or ORCL: Which is a Better Pick?

IBM and Oracle carry a Zacks Rank #3 (Hold) each. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

Both companies expect their sales and profits to improve in 2025. Oracle has shown steady revenue and EPS growth over the past few years, while IBM has been facing a bumpy road. However, with a better price performance and attractive valuation metrics, IBM is relatively better placed than Oracle, although both appear to be on a level playing field in terms of Zacks Rank. Consequently, IBM seems to be a better investment option at the moment.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEU Commission: “AI Gigafactories” to strengthen Europe as a business location
Next Article Are We Living in a Simulation? with George Hotz and Lex Fridman | AI Podcast Clips
Advanced AI Editor
  • Website

Related Posts

Here’s Why Top Analysts Are Becoming More Bullish on IBM Stock

June 19, 2025

IBM vs. Oracle: Which Hybrid Cloud Stock Offers Better Growth?

June 19, 2025

AI Impact Awards 2025: How IBM Helps Cities Plan for a Cleaner, Cooler Energy Future

June 19, 2025
Leave A Reply Cancel Reply

Latest Posts

Summerfest CEO Sarah Pancheri On What Makes The Event So Special

Historic South L.A. Black Cultural District Designation Moving Forward

Basel Social Club Turns a Swiss Bank Into a Wild Art Show

Beatie Wolfe Talks About Working With Brian Eno On Their Two Collaborative Albums

Latest Posts

MIT brain scans suggest that using GenAI tools reduces cognitive activity

June 20, 2025

Recent AI Funding Flows Into Four ‘F’s: Food, Fitness, Fashion, Finance

June 20, 2025

AI disruption rises, VC optimism cools in H1 2025

June 20, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.