Oracle named leader in Gartner's 2025 analytics quadrant again
Oracle has been named a Leader in the 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for the second consecutive year.
This recognition is based on Oracle's ability to execute and completeness of vision, as assessed by Gartner's annual report. The placement marks Oracle's ongoing positioning in a competitive field, where the demand for data-driven insights and AI-powered analytics continues to increase.
AI-driven analytics focus
Oracle has emphasised its continued investment in artificial intelligence technology within its analytics offerings. The company's enhancements to Oracle Analytics Cloud have included the addition of features focused on automation and contextual insights, enabling business users and analysts to gain deeper, real-time understanding from their data. "With the continued rapid growth of data, advancements in AI technology, and the ever-increasing demand for data-driven insights, the field of analytics is transforming businesses in unprecedented ways," said T.K. Anand, Executive Vice President, Oracle Analytics. "We feel our position as a Leader is a direct result of Oracle's commitment to putting AI at the core of our analytics offerings, delivering intelligent, real-time insights that empower our customers to make more confident decisions and drive measurable outcomes."
Oracle Analytics Cloud is designed to support organisations as they seek to navigate the evolving landscape of business intelligence. A key component of the cloud platform is the Oracle Analytics AI Assistant, which allows workbook authors and analysts to use natural language to search for insights and construct complex visualisations from their data. This AI Assistant is powered by the Oracle Cloud Infrastructure (OCI) Generative AI service.
Another major feature within Oracle Analytics Cloud is Contextual Insights, which provides business users with targeted recommendations and insights as they engage with various data sets. This feature aims to facilitate a more intuitive exploration and understanding of analytics content, supporting data-driven decision-making across a range of business roles.
Ongoing enhancements
Oracle's continued development of its analytics platform reflects noted trends in the business intelligence sector, such as increased automation, greater personalisation, and a growing emphasis on context and usability in analytical tools. Oracle states that the future of analytics will be characterised by these shifts, and indicates its platform roadmap is aligned to address them.
The company asserts that its ongoing release of new solutions and feature enhancements is aimed at maintaining its leadership position and supporting customers in what it refers to as a "new era of AI-powered analytics". The introduction of Oracle Analytics AI Assistant and Contextual Insights is presented as part of this overarching strategy to integrate automation and AI more deeply into analytics workflows.
Gartner's assessment methodology
Gartner's Magic Quadrant evaluates technology providers based on two broad criteria: ability to execute and completeness of vision. The report is widely followed by organisations planning analytics or intelligence platform investments, and inclusion as a Leader is considered significant in the sector.
The Magic Quadrant for Analytics and Business Intelligence Platforms credits Oracle for improvements in its analytics capabilities, especially in harnessing new technology to present actionable insights to businesses. Oracle's recognition for a second year running is contextualised within broader enterprise moves toward AI and machine learning-powered solutions.
The Gartner report includes a disclaimer that its research publications represent the opinions of its research organisation and should not be interpreted as statements of fact. It does not endorse any vendor, product, or service depicted in its research, and recommends that technology users consider multiple sources before making decisions.
Broader context
Organisations across industries continue to invest heavily in analytics and business intelligence as part of their digital transformation strategies. The drive to extract value from rapidly growing volumes of data has led to increased adoption of AI-powered tools and platforms that promise to accelerate insight generation and support more effective decision-making.
Oracle's current direction with Oracle Analytics Cloud aligns with these priorities, with an explicit focus on embedding generative AI capabilities and automated contextual insight features. Gartner's recognition of Oracle as a Leader in the Magic Quadrant is expected to influence customer perceptions and procurement decisions in the analytics platform space.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
RNZ News
an hour ago
- RNZ News
OMG! Is it WW3?, AI telling us what we want to hear
It was hard for media all around the world to work out what happened in the Middle East. But claims that WW3 and global recession might be upon us here were rolled back within a day. Also: Chat GPT's been accused of lying, making stuff up and gaslighting a UK journalist while Google's AI seems to be telling us what we want to hear. Is AI human after all?
RNZ News
2 hours ago
- RNZ News
'Pretty damn average': Google's AI Overviews underwhelm
Photo: JAAP ARRIENS Most searches online are done using Google. Traditionally, they've returned long lists of links to websites carrying relevant information. Depending on the topic, there can be thousands of entries to pick from or scroll through. Last year Google started incorporating its Gemini AI tech into its searches . Google's Overviews now inserts Google's own summary of what it's scraped from the internet ahead of the usual list of links to sources in many searches. Some sources say Google's now working towards replacing the lists of links with its own AI-driven search summaries. RNZ's Kathryn Ryan's not a fan. "Pretty damn average I have to say, for the most part," she said on Nine to Noon last Monday during a chat about AI upending the business of digital marketing. But Kathryn Ryan is not the only one underwhelmed by Google's Overviews. Recently, online tech writers discovered you can trick it into thinking that made up sayings are actually idioms in common usage that are meaningful. The Sydney Morning Herald 's puzzle compiler David Astle - under the headline 'Idiom or Idiot?' reckoned Google's AI wasn't about to take his job making cryptic crosswords anytime soon. "There is a strange bit of human psychology which says that we expect a very high bar from machines in a way that we don't from humans," the BBC's head of technology forecasting Laura Ellis told Mediawatch last month. "But if you've got a machine making a mistake, where does that accountability fall? We've just not tested this out yet." UK Sky News deputy political editor Sam Coates tried to make ChatGPT accountable after it made up an entire episode of his own politics podcast when he used it to help archive transcripts of it recently. "AI had told a lie that it had got the transcript. And rather than back down it invented an entire fake episode without flagging that it's fake." When challenged on this, the technology insisted Coates had created the episode himself. When ChatGPT can't find an answer or the right data to draw on, it can 'hallucinate' or just make up a misleading response. "Chat GTP is gaslighting me. No such thing exists. It's all a complete fake," Coates spluttered. After turning ChatGPT off and on again in 'conversation mode', it did eventually own up. "It said; 'Look, you're absolutely right to challenge that. I can't remember the exact time that you uploaded.' And then: 'What I can confirm is that I did it and you're holding me to account,'" Coates told viewers. He went on to challenge ChatGPT about its hallucinations getting worse. "The technology is always improving, and newer versions tend to do a better job at staying accurate," ChatGPT replied. But Coates - armed with data that suggested the opposite - asked ChatGPT for specific stats. The response: "According to recent internal tests from OpenAI, the newer models have shown higher hallucination rates. For instance, the model known as o3 had about a 33 percent hallucination rate, while the 04 mini model had around 48 percent." "I get where you're coming from, and I'm sorry for the mixed messages. The performance of these models can vary." When Coates aired his experience as a warning for journalists, some reacted with alarm. "The hallucination rate of advanced models... is increasing. As journos, we really should avoid it," said Sunday Times writer and former BBC diplomatic editor Mark Urban. But some tech experts accused Coates of misunderstanding and misusing the technology. "The issues Sam runs into here will be familiar to experienced users, but it illustrates how weird and alien Large Language Model (LLM) behaviour can seem for the wider public," said Cambridge University AI ethicist Henry Shevlin. "We need to communicate that these are generative simulators rather than conventional programmes," he added. Others were less accommodating on social media. "All I am seeing here is somebody working in the media who believes they understand how technology works - but [he] doesn't - and highlighting the dangers of someone insufficiently trained in technology trying to use it." "It's like Joey from Friends using the thesaurus function on Word." Mark Honeychurch is a programmer and long serving stalwart of the NZ Skeptics, a non profit body promoting critical thinking and calling out pseudoscience. The Skeptics' website said they confront practices that exploit a lack of specialist knowledge among people. That's what many people use Google for - answers to things they don't know or things they don't understand. Mark Honeychurch described putting overviews to the test in a recent edition of the Skeptics' podcast Yeah, Nah . "The AI looked like it was bending over backwards to please people. It's trying to give an answer that it knows that the customer wants," Honeychurch told Mediawatch . Honeychurch asked Google for the meaning of: 'Better a skeptic than two geese.' "It's trying to do pattern-matching and come out with something plausible. It does this so much that when it sees something that looks like an idiom that it's never heard before, it sees a bunch of idioms that have been explained and it just follows that pattern." "It told me a skeptic is handy to have around because they're always questioning - but two geese could be a handful and it's quite hard to deal with two geese." "With some of them, it did give me a caveat that this doesn't appear to be a popular saying. Then it would launch straight into explaining it. Even if it doesn't make sense, it still gives it its best go because that's what it's meant to do." In time, would AI and Google detect the recent articles pointing out this flaw - and learn from them? "There's a whole bunch of base training where (AI) just gets fed data from the Internet as base material. But on top of that, there's human feedback. "They run it through a battery of tests and humans can basically mark the quality of answers. So you end up refining the model and making it better. "By the time I tested this, it was warning me that a few of my fake idioms don't appear to be popular phrases. But then it would still launch into trying to explain it to me anyway, even though it wasn't real." Things got more interesting - and alarming - when Honeychurch tested Google Overviews with real questions about religion, alternative medicine and skepticism. "I asked why you shouldn't be a skeptic. I got a whole bunch of reasons that sounded plausible about losing all your friends and being the boring person at the party that's always ruining stories." "When I asked it why you should be a skeptic, all I got was a message saying it cannot answer my question." He also asked why one should be religious - and why not. And what reasons we should trust alternative medicines - and why we shouldn't. "The skeptical, the rational, the scientific answer was the answer that Google's AI just refused to give." "For the flip side of why I should be religious, I got a whole bunch of answers about community and a feeling of warmth and connecting to my spiritual dimension. "I also got a whole bunch about how sometimes alternative medicine may have turned out to be true and so you can't just dismiss it." "But we know why we shouldn't trust alternative medicine. It's alternative so it's not been proven to work. There's a very easy answer." But not one Overview was willing or able to give, it seems. Google does answer the neutral question 'Should I trust alternative medicine?' by saying there is "no simple answer" and "it's crucial to approach alternative medicine with caution and prioritise evidence-based conventional treatments." So is Google trying not to upset people with answers that might concern them? "I don't want to guess too much about that. It's not just Google but also OpenAI and other companies doing human feedback to try and make sure that it doesn't give horrific answers or say things that are objectionable." "But it's always conflicting with the fact that this AI is just trained to give you that plausible answer. It's trying to match the pattern that you've given in the question." Journalists use Google, just like anyone who's in a hurry and needs information quickly. Do journalists need to ensure they don't rely on the Overviews summary right at the top of the search page? "Absolutely. This is AI use 101. If you're asking something of a technical question, you really need to be well enough versed in what you're asking that you can judge whether the answer is good or not." Sign up for Ngā Pitopito Kōrero , a daily newsletter curated by our editors and delivered straight to your inbox every weekday.
Techday NZ
2 days ago
- Techday NZ
Java Independence is now a board-level priority - Driving cost savings, cloud efficiency and strategic agility
Chances are every time you stream content, buy something online or check your bank balance, you're interacting with Java-based systems. Java powers mission-critical systems across industries. Netflix runs its entire streaming infrastructure on Java-based microservices, processing millions of concurrent viewers. Global payment networks validate credit card transactions in milliseconds across hundreds of countries using Java applications. While the Java community has expanded to over 10 million developers worldwide, enterprises face mounting cost pressures from multiple directions. For the enterprises powering these essential services, 2025 represents a critical decision point: continue paying escalating costs for Oracle Java, potentially impacting profit margins or customer pricing as well as the potential for future price hikes, or seek alternatives. Java independence gives businesses control, choice, and confidence in how they build and run Java applications. Azul's recent 2025 State of Java Survey & Report reveals an enterprise Java ecosystem in transition, driven by mounting cost concerns, market preference for open-source solutions, and ongoing uncertainty around Oracle's licensing policies. This watershed moment stems from Oracle's shift to employee-based pricing in January 2023, which fundamentally disrupted enterprise Java strategy. Oracle's licensing practices have significantly increased Java-related expenditures, with the company generating billions annually from Java licensing and support. This shift isn't just about cost savings, it's about mitigating risk and enhancing agility. Java independence has become a board-level priority in an era where digital transformation drives market leadership. The oracle Java challenge The new Oracle pricing model detaches Java costs from actual usage, creating an unsustainable scenario: a 10,000-employee company running a handful of Java applications pays the same as a similarly sized organisation running thousands of Java-based services. For global businesses, this represents both a financial challenge and a strategic imperative to maintain competitive advantage. Our research reveals that two-thirds of organisations found Oracle's licensing model more expensive than alternatives, and an overwhelming majority reported successful migrations away from Oracle Java. With 25% of companies citing audit risk as a key migration driver, the urgency to transition has become a business priority rather than just an IT concern. The OpenJDK success story The success of OpenJDK adoption has shattered Oracle Java migration concerns. The data tells a compelling story: 84% of companies found the transition easier than expected or as planned, with three-quarters completing migrations within 12 months. This rapid timeline reflects both the maturity of available solutions and the robust support ecosystem around OpenJDK migrations. OpenJDK distributions have emerged as preferred alternatives to Oracle Java. These enterprise-ready solutions match Oracle Java SE's core capabilities while offering enhanced support and performance options. Successful migration hinges on three key components: Organisational momentum - Technical expertise, discovery & inventory tools and project planning assistance from a commercial OpenJDK provider can significantly help secure and maintain executive support, ultimately impacting a successful transition. Comprehensive Java mapping - Identifying all Java deployments across an organisation is essential. With 83% of organisations requiring commercially supported Java in production, this mapping phase is critical. Governance and compliance - Maintaining independence from Oracle Java licensing requires robust governance. Success means partnering with OpenJDK providers offering comprehensive protection, from IP safeguards to indemnification. The immediate financial benefits are substantial — most organisations report a 50-70% reduction in Oracle Java-related costs. Perhaps even more compelling, additional value lies in regaining control over Java technology strategy. Cloud cost optimisation Organisations are grappling with rapidly escalating cloud infrastructure costs, as annual global cloud spending is nearing a trillion dollars and continues to grow at double-digit rates. Our research reveals that 71% of organisations overpay for cloud compute capacity, highlighting an opportunity to reduce costs while improving application performance. Companies that select non-Oracle optimised Java platforms can save 20%+ on cloud computing costs. This is because high-performance Java runtimes deliver more stable Java applications and infrastructure while consuming fewer computing resources, creating compelling advantages beyond just licensing considerations. Powering AI innovation with Java Emerging technology demands amplify the need for change, particularly in AI and cloud computing. Half of the surveyed companies from our State of Java report already build AI functionality using Java — from financial institutions developing fraud detection systems to retailers leveraging machine learning for customer personalisation and inventory management. As computational demands grow, organisations require Java platforms that can deliver both performance and efficiency. These advanced workloads highlight the need for solutions that provide more scalable and stable applications while consuming fewer computing resources, enabling AI initiatives to be deployed successfully without excessive infrastructure investments. Oracle Java independence is not just a technical evolution — it's a strategic imperative that gives organisations the freedom to innovate, control costs, and build their technology future on their own terms.
