A few banks, mainly large, tech-forward orgs, will treat quantum computing as a strategic bet, balancing long-term potential with near-term experimentation and readiness. Quantum Computing Platforms Will (Eventually) Change Everything Maturity trends: Despite years of research, it remains unclear when quantum computing platforms will fulfill their theoretical potential. But the technology continues to advance (slowly) and breakthroughs are possible.

Consider how UPS has invested in clinical trial logistics for the healthcare industry; how the scale of Amazon’s own IT computing requirements led to offering a cloud computing platform, AWS; and how Apple started its own original content streaming business to challenge traditional platforms streaming licensed content. These big players use their market power to enter and penetrate new markets, disrupting existing players and ecosystems. Low-code and genAI allow for new entrants.

Figure 5 Computing Platforms This bar chart shows the breakdown of computing platforms inquiries by subtopic, according to Forrester’s inbound inquiries, from July 2024 through June 2025. The leading categories were cloud computing (80%), internet of things (8%), edge computing (4%), and quantum computing (2%), blockchain (2%), computing platforms (2%), and high-performance computing (1%). Topics with less than 1% of category inquiries are not shown.

Quantum Computing Platforms Offer Few Advantages, And Their Full Potential Is Distant Quantum computing platforms, still in their infancy and less capable than today’s supercomputers, are gradually moving toward practical applicability (see Figure 11). To realize their potential, they require a substantial infrastructure for qubit control and error correction — an estimated one in 10 million qubits.

Help quantitative analysts and R&D teams at your organization access cloud-based quantum platforms and help them configure high-performance computing platforms for quantum stack integration. Support their experiments in optimization or simulation problems to compare outcomes against classical baselines. Early experimentation creates internal literacy, builds confidence in the technology, and positions teams to exploit higher-fidelity logical-qubit systems as vendors scale.

Brands should analyze four factors when deciding how to test the XR or metaverse advertising waters: business objective, target audience, platform partner alignment, and what the experience adds to the UX. Quantum Computing Platforms’ Value Remains Elusive, Despite Progress Forrester defines quantum computing platforms as: An assembly of hardware and software tools needed to run quantum and hybrid quantum-classical algorithms.

Cloud platforms remain the backbone of retail transformation, now infused with genAI for efficiency and better experiences.

and data lakes Experience in working with data using relational and NoSQL databases Proficiency in database structures, data mining, and analytics Proficiency in SQL and query optimization Data management skills Familiarity with programming languages such as Python, R, and Java Experience in using data visualization tools such as PowerBI and Tableau Familiarity with multimodal data formats (text, image, audio, video) and their storage requirements Knowledge of cloud computing platforms such as Amazon

Azion Web Platform Blaize. AI Edge Computing and Blaize AI Studio Cloudflare. Cloudflare Developer Platform Fastly. Fastly Compute Microsoft. AKS Hybrid/Azure Arc Netlify. Netlify Platform Vercel. AI Cloud Evaluation Overview We evaluated vendors against three categories: Current offering. Each vendor’s position on the vertical axis of the Forrester Wave graphic indicates the strength of its current offering. Strategy.

The Value Of Quantum Computing Platforms Remains Elusive Forrester defines a quantum computing platform as: An integrated suite of software tools that uses one or more quantum processors to solve both quantum-specific and hybrid quantum-classical problems. Quantum computing platforms combine multiple software (and possibly hardware) elements into an environment for building applications that use quantum algorithms to solve computationally difficult problems.