IBM Quantum Readiness Index 2025: Five Realities Shaping Enterprise Quantum Strategy

What Is the IBM Quantum Readiness Index 2025?

Quantum computing stands at the threshold of practical advantage, and organizations worldwide face a critical question: are they ready to capture value when the quantum era arrives? The IBM Quantum Readiness Index 2025, published by the IBM Institute for Business Value (IBM IBV), delivers the most comprehensive assessment yet of where enterprises stand on their quantum journey and what separates leaders from laggards.

The report synthesizes proprietary survey data from 750 C-suite executives spanning 28 countries and 14 industries. Its findings reveal both encouraging progress and persistent gaps in enterprise quantum computing readiness. Recent research suggests that quantum advantage is likely to emerge by the end of 2026, making the window for preparation increasingly narrow.

This analysis is particularly timely given the broader quantum computing landscape documented in the MIT Quantum Computing Index 2025, which revealed a $1.6 billion investment surge in the global quantum ecosystem. Together, these reports paint a picture of an industry approaching a pivotal inflection point where preparation today determines competitive positioning tomorrow.

At its core, the IBM Quantum Readiness Index evaluates quantum preparedness across three dimensions: strategy, technology, and operations. The resulting 100-point index enables organizations to benchmark themselves against peers, identify capability gaps, and chart actionable paths toward quantum readiness. For technology leaders seeking to understand where their organization stands relative to global benchmarks, this report is an essential guide to navigating the quantum transition.

Global Quantum Readiness Index Score and Methodology

The 2025 global Quantum Readiness Index score rose to 28 out of 100, marking a six-point increase from the inaugural 2023 assessment. While this improvement signals meaningful progress, the absolute score underscores how far most organizations have to go before achieving true quantum readiness. The index uses a weighted average methodology that evaluates indicators across strategy, technology, and operations, with weightings calibrated from IBM’s direct client experience.

The top 10% of organizations—designated as quantum-ready organizations (QROs)—scored 35 or higher, with a maximum observed score of 47. These leaders demonstrate robust operational models alongside emerging capabilities in strategic planning and technology integration. The scoring breakdown reveals that operational maturity remains the dominant driver of quantum readiness today, contributing most substantially to overall scores.

The methodology encompasses 11 key indicators: actionable quantum intelligence, capturing quantum business value, securing quantum intellectual property, regulatory compliance, governance of quantum roadmaps, quantum talent strategy, innovation processes, high-velocity R&D, quantum-classical orchestration, AI/ML computational models, and DevSecOps for quantum applications. Each indicator is scored based on organizational self-assessment and validated against observable capabilities.

Crucially, the index reveals that average scores by category shifted between 2023 and 2025. Operations scores climbed from 12.48 to 16.9 out of a maximum 57 points. Technology scores advanced from 5.76 to 7.65 out of 29 possible points. Strategy scores showed more modest gains, moving from 3.3 to 3.47 out of 14 points. This distribution suggests organizations are building execution capabilities faster than they are developing strategic quantum vision—a gap that could limit long-term value creation.

Organizational Readiness Matters More Than Quantum Technology Maturity

The first critical reality revealed by the quantum readiness index 2025 challenges a widespread assumption: that quantum computing adoption depends primarily on hardware reaching specific performance thresholds. The IBM IBV data tells a fundamentally different story. Organizations that view immature technology as the biggest barrier to quantum adoption are four times more likely to expect advantage to arrive in the next decade rather than this one. Meanwhile, those investing in organizational readiness now see a compressed timeline, regardless of hardware evolution.

True quantum advantage arises from the complex interplay of hardware, algorithms, applications, and workflow integration within hybrid classical-quantum environments and increasingly in quantum-centric supercomputing architectures. As IBM Research has documented, the real competitive edge is sharpened by organizational preparedness rather than technological capability alone.

QROs exemplify this principle. While 71% still cite immature technology as a barrier, they are actively mitigating constraints through three key strategies. First, half of QROs participate in one or more quantum ecosystems—collaboration networks, industry partnerships, or technical working groups that accelerate collective learning. Second, more than three-quarters prioritize alignment of their quantum innovation roadmaps with broader business strategy. Third, seven in ten are developing governance frameworks for new quantum IP filings.

The financial implications are substantial. According to the IBM IBV research, organizations preparing for quantum advantage by 2027 expect 53% more return on investment by 2030 than their peers who are waiting for the technology to mature. This ROI gap highlights a compounding advantage: early organizational investment in quantum capabilities builds institutional knowledge, ecosystem connections, and strategic positioning that cannot be replicated quickly once quantum advantage materializes. For insights on how emerging technologies reshape strategic planning across industries, see the McKinsey Global Institute 2025 analysis.

Quantum Computing Use Case Portfolio Strategy

Conventional wisdom suggested quantum computing would produce a single breakout use case—a “killer app” that would validate the technology overnight. The IBM quantum readiness index 2025 data decisively debunks this narrative. When asked which use case will first deliver quantum advantage, 34% of organizations admit they are unsure, and even among QROs, 10% remain undecided. The largest cohort of QROs (47%) expects simulation to lead, but support remains scattered across optimization, algebraic problems, and emerging applications.

This uncertainty is not organizational indecision—it is strategic intelligence. The IBM IBV research reveals that the most common organizational profile among leaders involves experimenting across all major use case areas simultaneously. Many QROs are going “all-in” on two areas at once, treating quantum investment like a diversified portfolio rather than a single concentrated bet.

However, quantum investment patterns expose a troubling trend. For search and optimization problems, organizations appropriately increase budget allocation as projects mature from experimentation to integration. But across simulation and algebraic problems, they tend to front-load budgets during early exploration, then cut spending as projects advance toward commercial deployment. Budget allocation for simulation drops from 53% during experimentation to 46% during optimization. This backward investment trajectory creates a dangerous funding gap precisely when use cases need the most resources to cross the finish line.

Geographic and sector patterns add nuance. Energy and utilities QROs focus heavily on simulation, targeting breakthroughs in materials science and battery chemistry. Banking and insurance QROs lean toward search and optimization for complex risk modeling and fraud detection. Japan’s QROs emphasize algebraic problems, reflecting a national focus on mathematical sciences and algorithmic research. Since 2023, the IBM IBV has tracked incremental but steady progress in integrating quantum use cases into enterprise workflows, with activity shifting from exploration toward implementation across all domains.

For organizations charting their quantum strategy, the lesson is clear: diversify your quantum R&D portfolio across simulation, optimization, and algebraic problems based on industry-specific needs. Establish agile budget review cycles at proof-of-concept and integration milestones to prevent the investment paradox where funding peaks during exploration but evaporates when use cases approach commercial viability.

How Quantum Computing and AI Amplify Each Other

As quantum computing approaches practical advantage, a pervasive misconception threatens to undermine strategic planning: the belief that quantum and AI compete for the same budget and strategic attention. The IBM quantum readiness index 2025 provides decisive evidence that this competition narrative is not only wrong but actively harmful to organizational outcomes.

The data reveals that AI budgets remain steady at approximately 11% of total IT spend regardless of quantum readiness levels. This suggests AI investment has become an essential IT function, decoupled from quantum budget allocation. But when quantum is explicitly positioned as complementary to AI and high-performance computing, average quantum investment rises to 12% of R&D budgets. When quantum is framed as a competitor, it drops to 9%—a 33% gap driven entirely by organizational framing rather than technical reality.

Among QROs, the complementary perspective dominates overwhelmingly. Eighty-six percent of quantum-ready organizations see quantum as complementary to AI, compared to just 24% of the least-ready organizations. Furthermore, 98% of QROs agree that quantum can accelerate AI and high-performance computing capabilities, compared to 73% across the broader survey population.

The technical basis for this synergy is well-documented. Quantum computing has the potential to accelerate AI model training through faster optimization, more efficient sampling, and improved simulation of complex systems. In turn, AI can optimize quantum workflows by guiding algorithm design, error correction strategies, and resource allocation across quantum-classical architectures. QROs are deliberately building cross-functional teams that identify opportunities where quantum enhances AI models or AI refines quantum processes.

Organizations that frame quantum and AI as partners rather than rivals unlock incremental funding, shared infrastructure investments, and cross-domain talent development. Those clinging to competition narratives risk self-fulfilling prophecy: disconnected teams, separate budgets, and missed opportunities for exponential value creation when these technologies converge. This finding aligns with broader AI governance trends documented in the Stanford AI Index 2025.

Closing the Quantum Computing Talent Gap

The fourth reality exposed by the quantum readiness index 2025 upends the assumption that talent challenges diminish as quantum capabilities advance. The opposite is true: skills gaps intensify with organizational ambition. Among QROs, a striking 90% cite inadequate skills as a barrier to quantum computing adoption, compared to 60% of the least-ready organizations.

The reason is structural. Early-stage quantum efforts typically rely on small, highly specialized teams working on contained experiments. As projects scale toward production deployment, talent footprints must expand dramatically across architecture, algorithm design, integration engineering, and domain-specific application development. Many of these roles require interdisciplinary expertise that traditional hiring pipelines cannot easily supply.

The IBM IBV research identifies talent development as the single highest-leverage investment organizations can make—and developing internal skills as the most powerful predictor of quantum readiness. Among QROs, 74% rate internal skill development as highly effective, 79% leverage academic partnerships with universities and research labs, and 67% report success in attracting talent from adjacent STEM fields. QROs average three times as many employees in quantum roles compared to the least-ready organizations.

Regional approaches to quantum talent development diverge. US QROs augment internal teams through academic partnerships with universities and research labs. Japan’s QROs emphasize in-house skill building with a long-term development perspective. In industry-specific patterns, insurance QROs project the highest reskilling needs in services, queuing targeted training for actuaries, underwriters, and data scientists to work with quantum-enhanced models.

A critical mistake identified by the research involves treating quantum talent development as a separate initiative detached from broader workforce planning. This approach creates gaps in succession planning, misalignment with enterprise skill frameworks, and missed opportunities for cross-training from adjacent disciplines. QROs avoid this trap by integrating quantum talent strategies into enterprise workforce planning, identifying roles where quantum literacy augments existing expertise, and aligning talent investments with high-priority use cases.

Responsible Quantum Computing Governance Frameworks

The fifth and final reality from the IBM quantum readiness index 2025 addresses a dimension many organizations underestimate: the imperative for responsible quantum computing governance. As quantum computing approaches practical advantage, concerns about data privacy, cybersecurity threats, and unintended societal impacts will naturally intensify—but the research reveals a troubling disconnect between awareness and action.

More than half of survey respondents (56%) view quantum-safe security as a purely technical issue rather than a business threat. This perception represents a severe oversight. As IBM IBV research on quantum safety has demonstrated, quantum-triggered risk is “a strategic concern for every organization that relies on digital trust to serve customers, protect intellectual property, and meet regulatory obligations.” The implications extend far beyond IT departments to encompass competitive positioning, regulatory compliance, and stakeholder trust.

The IBM data reveals no statistical link between worrying about quantum’s negative impacts and actually prioritizing responsible computing practices. Expressing concern does not translate to governance investment. QROs distinguish themselves by treating responsible practices as baseline requirements integrated into every quantum initiative from inception, not optional additions after deployment.

Quantum-safe cryptography presents one of the most urgent governance challenges. Current encryption standards protecting global financial systems, healthcare records, and government communications face existential threats from sufficiently advanced quantum computers. Organizations that delay cryptographic migration risk a “harvest now, decrypt later” scenario where adversaries capture encrypted data today for future quantum decryption. The NIST post-quantum cryptography standards published in 2024 provide a foundation for migration, but implementation requires years of systematic effort.

For enterprise leaders, the message is unambiguous: responsible quantum computing governance must be built in from the start, not bolted on after risks materialize. This means conducting comprehensive quantum risk assessments, developing quantum-safe migration roadmaps, establishing ethical use frameworks for quantum applications, and embedding governance checkpoints throughout the quantum development lifecycle.

Industry and Regional Quantum Adoption Trends

The quantum readiness index 2025 reveals significant variation in quantum computing commitment across industries and geographies, offering valuable benchmarking data for strategic planning. Quantum computing investment as a percentage of organizational R&D budget ranges from 7% in travel and transportation to 16% in aerospace and defense, with a global average of 11%.

Banking (12%), healthcare (12%), and government (15%) demonstrate above-average quantum investment, reflecting the computational intensity of their core challenges—risk modeling, drug discovery, and national security applications respectively. Electronics (9%) and consumer products (9%) invest below average, suggesting these sectors may be underestimating quantum’s near-term relevance to supply chain optimization and materials science.

Case studies from the report illuminate quantum’s practical potential across sectors. Vanguard, one of the world’s largest investment management companies, explored variational quantum algorithms for portfolio optimization, using 109 qubits and circuits with up to 4,200 gates. Their quantum-classical workflow consistently outperformed purely classical approaches, especially as problem size increased. Moderna pioneered quantum computing in mRNA medicine development, achieving what appears to be the largest quantum secondary structure simulation to date, involving up to 80 qubits and mRNA sequences of 60 nucleotides—surpassing the previous limit of 42.

RIKEN, Japan’s largest research institution, demonstrated quantum-centric supercomputing for molecular simulation by reducing iron-sulfur cluster simulation from 3 million years on a standalone quantum computer to just 2 hours using a hybrid approach called sample-based quantum diagonalization. Cleveland Clinic has since extended this work to drug discovery applications.

Regional patterns also shape quantum readiness trajectories. US organizations leverage extensive university ecosystems and venture capital networks. Japan emphasizes long-term in-house development aligned with national quantum strategy. Singapore positions quantum within broader digital transformation initiatives, with government agencies actively facilitating ecosystem development. For context on how global technology trends intersect with geopolitical dynamics, the Atlantic Council Global Foresight 2025 report provides complementary analysis.

Building Your Enterprise Quantum Readiness Roadmap

The IBM quantum readiness index 2025 provides not only a diagnostic tool but also a clear action framework for organizations at every stage of their quantum journey. Drawing from the five critical realities and the practices of quantum-ready organizations, enterprise leaders can construct a comprehensive quantum readiness roadmap that balances near-term preparation with long-term strategic positioning.

The first priority is developing integrated multitrack roadmaps. Create parallel timelines for quantum strategy, technology capability, and operational readiness that intersect at critical decision points. Map how quantum system development milestones align with your organization’s integration capabilities, governance maturity, and talent development. This ensures readiness building proceeds in lockstep with technology evolution rather than lagging behind it.

Second, align leadership expectations to quantum’s back-loaded ROI curve. Frame near-term quantum investments as strategic infrastructure rather than immediate revenue drivers. The IBM IBV data showing 53% higher expected ROI for early movers provides compelling justification for current spending. Establish measurement frameworks that track readiness progress—ecosystem engagement, talent development, use case experimentation—not just technology benchmarks.

Third, pursue a diversified quantum R&D portfolio. Allocate resources across simulation, search and optimization, and algebraic problems based on your industry’s natural application domains. Implement agile investment strategies with budget review cycles at proof-of-concept milestones to prevent the funding paradox identified in the IBM research.

Fourth, reposition quantum as an AI force multiplier within your organization. Build cross-domain innovation teams spanning quantum and AI capabilities. Identify AI algorithms and computing workloads likely to hit computational limits within three to five years, then begin prototyping quantum-enhanced approaches now. This integrated framing unlocks 33% more quantum investment than competitive positioning.

Fifth, conduct granular skills gap mapping across quantum capability areas. Integrate quantum talent development into enterprise workforce planning frameworks. Establish continuous learning programs that scale with quantum evolution, creating rotational opportunities across quantum projects to broaden experience and cross-pollinate skills.

Finally, embed responsible quantum computing governance from inception. Conduct quantum risk assessments, develop quantum-safe migration roadmaps, and establish ethical use frameworks. The organizations that build governance infrastructure now will navigate the regulatory landscape far more effectively than those scrambling to comply after quantum advantage arrives.