Agile Statistics 2026: Growth, Success Rates, and Trends

Agile has moved far beyond its original role in software development. Organizations use Agile principles across product development, financial services, health care, procurement, digital transformation and enterprise operations. Teams rely on shorter planning cycles, frequent feedback and cross-functional collaboration to respond to changing customer needs, regulatory demands and market conditions. At the same time, AI, hybrid delivery models and outcome-based measurement are reshaping how Agile works in practice.

Financial institutions use Agile to improve digital products and respond faster to compliance changes, while health care and procurement teams apply Agile methods to manage complex programs with shifting priorities. The statistics below show how widely Agile is used, how it compares with traditional approaches and which trends are shaping its next phase.

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• 84% of organizations use or plan to use AI in development and delivery, compared with 68% in the previous major benchmark. The 16-percentage-point increase illustrates how quickly AI has entered Agile workflows.
• 74% use hybrid, blended or homegrown Agile models, making customized delivery one of the defining characteristics of the current Agile market.
• 76% report increased scrutiny of Agile’s business impact and ROI. As a result, Agile teams increasingly need to connect delivery metrics with measurable business outcomes.
• 79% identify pressure to do more with the same or fewer resources as a factor affecting Agile investments and roles, while 77% point to demands for faster innovation and continuous delivery.
• Financial services leads the industries measured for frequent Agile use at 58%, ahead of information technology at 53%, health care at 41% and construction at 27%.
• Historical project data covering tens of thousands of projects found a 42% success rate for Agile projects versus 13% for Waterfall projects under the study’s on-time, on-budget and satisfactory-result definition.
• Scrum remained the dominant team-level Agile method in the 2024 State of Agile benchmark, used by 63% of team-level Agile respondents.
• At the enterprise level, SAFe reached 44% in the 2025 framework/delivery-model survey, compared with 26% in the previous State of Agile edition.
• Customer satisfaction or retention now ranks as a primary Agile success outcome for 52% of respondents, ahead of efficiency or cost reduction at 40%.
• Only 15% of respondents report that business and executive leaders actively help shape and sustain Agile practices across their organizations, highlighting a sizable gap between Agile execution and executive involvement.

Recent Developments

• AI adoption in Agile-related development environments rose from 68% to 84% between the 17th and 18th State of Agile reports. This represents one of the clearest year-over-year shifts affecting Agile delivery.
• More than one-quarter of AI users are already experimenting with agentic AI, including systems that can coordinate work and make decisions within defined workflows.
• However, only 49% of organizations report having clear AI guidelines or guardrails across teams, leaving governance behind the pace of adoption.
• Just 53% say their organization is prepared to adopt AI responsibly, showing that implementation has moved faster than organizational readiness in many companies.
• Cost and productivity pressures now affect Agile decisions at scale: 79% cite a shift toward efficiency or cost control as a factor influencing Agile investments and role changes.
• Meanwhile, 78% identify leadership or structural changes, such as reorganizations and new executive mandates, as factors affecting Agile investment and roles.
• 65% report that consolidation or elimination of Agile-specific roles influences current Agile investment and role changes, reflecting the movement away from some dedicated transformation positions.
• In 2026 business-agility research, 70% of respondents selected AI and automation as a major trend affecting their teams and organizations.
• The same 2026 research found that 44% described their workplace tools as only moderately integrated, pointing to integration as a continuing obstacle even as organizations add automation and AI.
• Around 60% of respondents said their teams were mostly satisfied with the tools available to them, suggesting that tool availability itself presents less of a problem than integration, training and organizational adoption.

Global Agile Project Management Software Market Growth

• The global Agile project management software market is estimated at $5.42 billion in 2025, establishing a strong base for continued industry expansion.
• The market is expected to reach $6.08 billion in 2026, representing an annual increase of approximately 12.2%.
• By 2030, the market is projected to grow to $10.15 billion, nearly 1.9 times its 2025 size.
• The market could reach $19.23 billion by 2035, an increase of approximately $13.81 billion compared with 2025.
• Between 2025 and 2035, the Agile project management software market is projected to expand by about 255%, reaching more than 3.5 times its 2025 value.

Global Agile Adoption Rates

• The 2024 software-delivery benchmark found 71% of respondents using Agile in their software development lifecycle.
• Another 42% reported using hybrid software-development models. Because respondents could select multiple approaches, these percentages overlap rather than total 100%.
• DevOps appeared in 36% of software development environments in the same survey, illustrating the overlap between Agile and adjacent delivery practices.
• Waterfall still appeared in 28% of surveyed software development environments, showing that traditional sequential development continues alongside Agile.
• Lean accounted for 18% of reported software development approaches, while 10% of respondents said their organizations had created their own process.
• The 2024 survey sample itself was geographically broad: 48% of respondents came from North America, 26% from Europe, 13% from Asia and 9% from South America.
• Australia and New Zealand represented 3% of that respondent base, while Africa accounted for 2%.
• Current 2026 business-agility research also spans multiple regions. Around 2 in 5 respondents came from the U.K. and Ireland, with additional participation from Europe, Asia, Africa, North America, Australia and New Zealand.
• More than half of respondents in that 2026 study worked at organizations with only one to 49 employees, providing evidence that Agile capability building is not restricted to large enterprises.
• In the earlier global software survey, 31% of respondents worked at organizations with more than 20,000 employees, while 29% worked at organizations with 1,000 or fewer employees.

Agile vs. Waterfall Success Rates

• A widely cited project database covering about 50,000 initiatives recorded a 42% success rate for Agile projects, compared with 13% for Waterfall projects.
• Under the same analysis, 11% of Agile projects failed, compared with 28% of Waterfall projects.
• About 47% of Agile projects were classified as challenged, meaning late, over budget or delivering an unsatisfactory result. Waterfall’s challenged share reached 59%.
• Based on those figures, Agile’s 42% success rate was more than three times Waterfall’s 13% rate under that study’s success definition.
• Decision-making speed proved even more significant in the same dataset: projects with good decision latency recorded a 75% success rate, compared with 21% for projects with poor decision latency.
• Only 4% of projects with good decision latency failed, versus 43% among projects with bad decision latency. This suggests methodology alone does not determine project performance.
• More recent project-management research reports an overall 73.8% project performance rate and finds that Agile, predictive and hybrid approaches can produce broadly comparable results when organizations select the approach that fits the project.
• A 2026 academic study notes the difference between measurement systems: historical project auditing placed Agile success around 42%, while the 2024 project-professional survey found 75.4% of respondents who regularly used Agile reported strong performance against business objectives.
• Therefore, current evidence does not support the claim that Agile automatically guarantees project success. The data instead points to fit-for-purpose delivery, decision speed, leadership, skills and business alignment as important performance variables.

Industry-Specific Agile Adoption Statistics

• Financial services has the highest frequent Agile usage among the major industries measured, with 58% of respondents saying they use Agile always or often.
• Information technology follows closely, with 53% reporting that they use Agile always or often.
• In health care, 41% report always or often using Agile approaches.
• Construction records substantially lower frequent Agile usage at 27%, reflecting the industry’s stronger dependence on sequential project structures.
• Hybrid delivery reaches 55% in information technology, slightly exceeding the sector’s 53% frequent Agile usage.
• 53% of financial services respondents frequently use hybrid approaches, while 45% frequently use predictive approaches.
• Health care also records 53% hybrid usage, compared with 55% for predictive approaches and 41% for Agile.
• Construction shows the opposite pattern: 76% frequently use predictive approaches, while 37% frequently use hybrid delivery and 27% use Agile.
• The global software-delivery respondent pool provides another view of Agile’s industry reach: 26% worked in technology, 17% in financial services and 7% each in health care/pharma, professional services and government.
• Insurance represented 5% of that Agile survey population, followed by telecommunications at 4%, retail at 3% and transportation at 3%, reinforcing Agile’s presence beyond pure technology companies.

Most Popular Agile Frameworks and Methods

• In the 2024 benchmark, 63% of team-level Agile users followed Scrum, keeping Scrum in first place among team-level Agile methodologies.
• At the enterprise level in that edition, 26% used SAFe, making it the most common named enterprise Agile framework in the survey.
• 19% used Scrum@Scale or Scrum of Scrums, making it the second-most-common named scaling approach in the 2024 enterprise results.
• However, 22% said they followed no mandated enterprise Agile framework, while another 12% had created their own enterprise framework. Together, those groups represented 34% of respondents.
• In the 2025 survey, SAFe rose to 44% among the frameworks and delivery models respondents reported using. The question allowed organizations to reflect mixed environments, so framework percentages should not be treated as mutually exclusive market shares.
• Blended or hybrid delivery models reached 48% in the same 2025 framework and delivery-model question, ahead of any individual named framework.
• Homegrown frameworks or operating models reached 26%, reinforcing the move toward organization-specific Agile structures.
• Lean principles appeared in 29% of responses, while Scrum@Scale or Scrum of Scrums appeared in 23%.
• DevOps-first delivery models accounted for 23%, and value-stream-management models appeared in 21% of organizations surveyed.
• AI- or automation-assisted delivery models already reached 10%, providing an early quantitative indicator of how AI is beginning to emerge as part of formal Agile delivery structures.

Hybrid Agile Approach Statistics

• A combined 74% of organizations now use either blended/hybrid delivery or a homegrown operating model, up from 52% in the previous annual benchmark. This marks one of the clearest shifts away from single-framework implementations.
• Specifically, 48% use blended or hybrid models that combine Agile, DevOps and traditional delivery approaches.
• Another 26% use a homegrown framework or operating model, showing that more than one-quarter of organizations tailor delivery structures around their own needs.
• 44% use SAFe as part of their delivery environment, up from 26% in the prior benchmark. Because respondents can combine approaches, SAFe often operates inside broader hybrid structures rather than as a stand-alone model.
• 29% incorporate Lean principles into their delivery model, while 23% use Scrum@Scale or Scrum of Scrums.
• 23% operate a DevOps-first delivery model centered on continuous delivery, CI/CD and automation pipelines.
• Value stream management models appear in 21% of surveyed organizations, indicating growing interest in organizing work around the flow of customer value rather than individual project milestones.
• Platform or enablement-team models account for 16% of responses, while governance- or compliance-led models represent 14%. These models can help organizations combine iterative delivery with enterprise controls.
• AI- or automation-assisted delivery models have already reached 10%, providing an early indicator of a new type of hybrid model that combines human Agile practices with automated planning and orchestration.
• Only 7% report operating without a mandated scaling model, while 3% remain unsure which approach their organization follows.

Agile Project Success and Failure Rates

• A peer-reviewed study of ICT projects found that projects using Agile methods achieved 48% outright success, while only 8% were classified as failures.
• That study analyzed 286 respondents and found a statistically significant relationship between recognized project-management methods and project success, with a Cramér’s V of 0.425.
• A larger earlier quantitative study examined 1,386 projects and found that more than 65% contained at least some Agile or iterative elements, demonstrating that mixed-method project delivery was already common well before today’s hybrid trend.
• Current delivery data presents a more complex picture: 68% of organizations say at least half of their applications arrive on time and with high quality.
• At the same time, 63% say their organizations struggle to deliver reliable, high-quality software, showing that schedule performance and overall software reliability can tell different stories.
• 75% of Agile teams regularly incorporate business feedback into their work. Regular feedback can reduce the risk of completing technically correct work that no longer matches customer needs.
• 67% say they use data to drive continuous improvement, indicating that most Agile environments have adopted at least some evidence-based improvement practices.
• However, only 49% say product managers can manage the complete product-delivery pipeline while measuring business or customer value. This leaves a slight majority without end-to-end value measurement.
• 63% trust the metrics they use to evaluate team performance, meaning 37% either lack confidence in those metrics or do not agree that their measurement systems are trustworthy.
• Leadership remains another success variable: only 15% say business and executive leaders actively shape and sustain Agile practices across their organizations.

Key Benefits of Agile Implementation

• 52% now use customer satisfaction or customer retention as a primary measure of Agile success, making customer outcomes the leading success measure in the latest benchmark.
• 40% identify efficiency or cost reduction as a primary success outcome, reflecting increased pressure to show financial value from Agile investments.
• 75% of Agile teams regularly incorporate business feedback, giving teams more frequent opportunities to adapt requirements before significant resources go toward unwanted functionality.
• 64% of Agile teams have visibility into their DevOps pipelines, helping development teams understand where work sits between planning and production.
• Similarly, 64% of DevOps teams report visibility into software-development planning, indicating stronger two-way visibility between planning and deployment functions.
• 65% say enterprise Agile planning tools help align Agile, DevOps and testing teams. This gives nearly two-thirds of respondents a shared technology layer for coordinating delivery activities.
• 67% use delivery data to support continuous improvement, reinforcing Agile’s role as an iterative management system rather than only a development methodology.
• 41% of organizations increased Agile investment over the previous 12 to 24 months, while only a smaller share reduced it. Continued investment suggests many organizations still see economic or operational value in Agile capabilities.
• In a sector-specific 2025 study, 90% of procurement and supply professionals agreed that Agile adoption carries strategic importance for handling greater market uncertainty.
• Historical organizational research also found that 57% experienced better collaboration between departments and teams after adopting Agile, while 49% reported improved employee satisfaction. These remain useful benchmarks for the human-side benefits of Agile transformation.

Common Challenges in Agile Adoption

• Only 13% of organizations say Agile is deeply embedded across business, technology and support functions with work aligned to strategic outcomes.
• 25% use Agile across some departments but apply it inconsistently, making fragmented adoption the largest single maturity category in the latest benchmark.
• Another 22% have scaled Agile across IT but report limited business involvement, showing how Agile can remain concentrated inside technology functions.
• 53% struggle to prioritize the right work, which creates a direct risk that teams deliver efficiently against priorities that do not produce enough business value.
• 52% struggle to track actual business impact, limiting their ability to connect Agile activity to revenue, retention, savings or strategic outcomes.
• 35% say they cannot measure performance fairly, showing that measurement problems continue even as organizations expand their dashboards and planning tools.
• 31% lack real-time insight into performance or delivery, while 21% say they do not trust their data. Poor underlying data becomes more significant as organizations automate decisions.
• Leadership creates another gap: 33% describe Agile mainly as a delivery function rather than a strategic lever, while 24% say Agile practices grow from the bottom up with minimal executive involvement.
• Meanwhile, 76% face growing scrutiny over Agile’s business impact and ROI, creating tension between executive demands for evidence and limited executive participation in the operating model.
• Resource pressure compounds these issues: 79% cite a shift toward efficiency or cost control as a factor changing Agile investment and roles, while 65% cite consolidation or elimination of Agile-specific positions.

Agile Team Satisfaction and Maturity Levels

• Only 13% describe Agile as deeply embedded across business and technology functions, making enterprise-wide maturity the exception rather than the norm.
• 25% say Agile operates in several departments but remains inconsistent, which means roughly one-quarter of surveyed organizations still lack uniform adoption across teams.
• 22% have scaled Agile across IT while business participation remains limited. Therefore, technical scaling does not necessarily signal enterprise-level agility.
• 20% report that Agile practices remain primarily limited to team-level execution, leaving strategy, portfolio management or other business functions outside the model.
• Another 7% say they are transitioning from traditional delivery toward Agile or hybrid approaches, providing evidence that new Agile transformations continue even after more than two decades of adoption.
• 7% are actively reevaluating Agile because of new complexity such as AI, compliance requirements or changing ways of working.
• Separately, recent industry research found only 7% of teams reached full proficiency in strong Agile practices, indicating significant headroom for teams that already identify themselves as Agile.
• 63% of respondents trust their team-performance metrics, an important maturity indicator because credible measurement helps teams improve without optimizing for unreliable targets.
• 67% use data for continuous improvement, suggesting data-informed retrospection and process improvement have become mainstream even though enterprise maturity remains uneven.
• Earlier practitioner research found 69% associated team satisfaction with stronger collaboration, while 54% linked satisfaction to better alignment with business needs and 39% to an improved working environment.

AI Integration in Agile Practices

• 84% of organizations use or plan to use AI somewhere in the development lifecycle, making AI a mainstream consideration for Agile delivery rather than an experimental side project.
• About 40% actively explore or implement AI tools across teams or embed them directly into products and services.
• More than one-quarter of AI users are experimenting with or adopting agentic AI systems capable of coordinating tools or making defined decisions autonomously.
• Among organizations piloting agentic AI, 39% apply it to workflow execution across tools, making automation and execution its most common reported use case.
• 27% use agentic AI for incident resolution or remediation, while 23% apply it to risk detection and response.
• 24% use agentic AI to support discovery or synthesize customer research, while 23% apply it to planning and prioritization.
• 61% say their organizations are prepared to adopt AI responsibly, but only 49% have clear AI guidelines or guardrails across teams. The 12-percentage-point gap shows that governance continues to trail adoption.
• Security, privacy and compliance concerns affect 61% of AI adopters, while 46% cite insufficient skills or training and 35% report concerns about trusting AI-generated output.
• A 2025 procurement and supply study found 96% recognized the need to adapt their ways of working because of AI, yet only 15% reported even limited integration of AI-driven technology into operations. This highlights how adoption rates can differ sharply outside software development.
• AI is also entering Agile team interaction: 84% of respondents identified team-communication support as a potential AI use case, while 78% identified contextual coaching or suggestion capabilities.

Agile Tool Usage and Technology Stack Statistics

• 54% use enterprise Agile planning software to support strategic planning and alignment, making it the most frequently reported structured planning technology in the latest dataset.
• 50% use internal dashboards or business-intelligence platforms to connect planning and delivery information.
• Despite greater automation, 44% still use spreadsheets as part of strategic planning and alignment, showing that general-purpose tools remain embedded in modern Agile environments.
• 36% use project, portfolio or strategic-management platforms for alignment, while 28% use dedicated OKR or KPI tools.
• Product-roadmapping technology reaches 24% of respondents, reflecting a smaller but significant layer of specialized product-planning software.
• Only 9% report having no structured alignment methods, indicating that more than nine in 10 organizations use at least one formal tool or process to connect strategy with delivery.
• In the 2024 team-level benchmark, 62% used Atlassian Jira Software to manage Agile projects, making it the most widely reported individual Agile project-management platform in that dataset.
• 32% used Mural, Miro or another digital whiteboard, reflecting continued demand for visual collaboration across distributed and hybrid teams.
• Azure DevOps and Microsoft Excel each reached 25% in that survey, while Microsoft Project reached 13% and Trello 9%.
• Tool choice also varies with organization size: Jira usage reached 71% at large companies, compared with 63% at medium-sized organizations and 52% at small companies.

Agile Beyond Software Development

• In procurement and supply, 90% of respondents said adopting Agile practices holds strategic importance as organizations respond to greater market uncertainty.
• Meanwhile, 96% said the rise of AI requires them to change how they work, showing that business agility and technology adoption increasingly overlap outside software teams.
• However, only 15% reported even limited integration of AI-driven technology into procurement and supply operations. This leaves an 81-percentage-point gap between recognizing the need for change and reporting AI integration.
• Earlier procurement research found that 73% of contracts remained unchanged after their initial issue. Fixed commercial terms can restrict teams that need to adjust requirements throughout iterative delivery.
• The same research found that 98% of contracts were either never updated or reviewed no more often than every six months, creating a much slower feedback cycle than most Agile product teams use.
• More than half of respondents said mobilizing a multipartner procurement or supply system took several months to more than a year. Trust, cultural fit and intellectual-property concerns ranked among the main factors behind the delay.
• Only 13% said C-suite leaders supported their procurement agility efforts, while most activity remained at the project or team level. This helps explain why Agile practices can form isolated pockets outside technology functions.
• The broader 2026 business-agility research found that roughly 60% of respondents considered data-informed decision-making a critical agility skill. This reinforces Agile’s shift from software methodology toward a wider organizational capability.
• More than 50% selected adaptive leadership as a critical skill for organizational agility, further emphasizing that Agile adoption outside software depends on management behavior as much as delivery processes.

Agile in Remote and Distributed Teams

• Remote projects recorded a 73.2% project-performance rate, only slightly below the overall benchmark for project work.
• Hybrid-location projects achieved a 73.4% performance rate, almost identical to fully remote projects.
• Fully in-person teams reached 74.6%, giving them only a 1.4-percentage-point advantage over remote teams. The difference was not statistically significant in the underlying analysis.
• The global study behind those findings included 2,246 project professionals and 342 senior leaders, providing a sizable cross-industry dataset on work location and project execution.
• Organizations that provided at least three team enablers, such as coaching, mentoring, training or communities of practice, recorded an 8.3% increase in project success compared with organizations offering none.
• A separate analysis of more than 7,000 U.S. companies found that fully flexible organizations produced 21% three-year, industry-adjusted revenue growth, compared with 5% among companies requiring office attendance.
• In the 2025 global developer workforce survey, roughly one-third of developers worked fully remotely, showing that distributed work remains a significant part of technology delivery.
• Among U.S. respondents, 45% of developers worked remotely, the highest remote-work share among the major countries highlighted in the 2025 dataset.
• In 2024, 42% of developers worked in hybrid arrangements, compared with 20% working fully in person. The data suggests Agile software teams continue to operate across multiple work-location models rather than reverting uniformly to office-based delivery.

Agile Success Metrics Statistics

• Customer satisfaction is the most widely used Agile success metric, measured by 59% of organizations through indicators such as NPS and CSAT.
• Business value delivered ranks a close second at 58%, highlighting the importance of revenue and ROI when evaluating Agile performance.
• On-time delivery and predictability are tracked by 55% of organizations, showing that reliable delivery remains a major measure of Agile success.
• Product quality, including defect rates and uptime, is used by 48% of organizations to assess the effectiveness of Agile practices.
• Team morale and retention are measured by 32% of organizations, making them the least-used success metrics among those listed.
• The narrow 1 percentage point gap between customer satisfaction and business value suggests organizations place nearly equal emphasis on customer outcomes and financial impact.
• Overall, the data indicates that Agile success in 2026 is measured more heavily through customer, business and delivery outcomes than through internal workforce metrics.

ROI and Business Impact of Agile

• 76% of organizations report greater scrutiny of Agile’s business impact and ROI, making financial accountability one of the strongest pressures affecting Agile programs.
• 41% increased Agile spending during the previous two years, showing that organizations continued to invest despite stronger demands for measurable returns.
• 29% of respondents now hold responsibility for connecting Agile work directly to business outcomes such as OKRs, ROI or impact metrics.
• Another 26% now influence product and portfolio planning, suggesting that Agile roles increasingly extend from team delivery into investment and prioritization decisions.
• 73% want stronger leadership support and clearer alignment between delivery work and business goals, highlighting a major condition for demonstrating Agile’s economic value.
• Nearly 80% say pressure to accomplish more with the same or fewer resources now affects Agile investment and role decisions. Cost efficiency therefore increasingly shapes transformation strategy.
• Research into modern software delivery finds that strong delivery metrics act as leading indicators for both organizational performance and employee well-being, linking operational Agile performance with broader business results.
• In the 2025 AI-assisted delivery study, nearly 40% of surveyed teams fell into the two strongest performance archetypes, demonstrating that high velocity and high-quality delivery can coexist when organizations build the supporting systems correctly.
• The latest evidence also indicates that AI investments create the greatest returns when organizations improve the surrounding operating system rather than focusing on tools alone. The research explicitly identifies organizational capabilities as the primary source of AI-related ROI.

Future Trends in Agile Project Management

• 83% of Agile practitioners in a 2026 survey said they use AI, based on responses from 289 practitioners across more than 20 countries.
• However, most of those practitioners spend 10% or less of their working time using AI, indicating that adoption has spread faster than deep workflow integration.
• A 2026 systematic review analyzed 24 primary studies published from 2022 through 2025 and found AI applications spreading across Agile automation, prediction and decision support.
• Another 2026 research review examined 361 Agile project-management papers, including 47 studies focused specifically on AI in Agile project management.
• In the broader technology workforce, 90% of professionals reported using AI at work in 2025, representing a 14-percentage-point increase from the prior year’s benchmark.
• Those professionals spent a median of about two hours per day working with AI, showing how AI-assisted delivery is becoming part of normal development work rather than an occasional experiment.
• More than 80% said AI improved their productivity, although the evidence also links heavier AI adoption with increased software-delivery instability when organizations lack strong controls.
• 59% reported that AI improved code quality, while only 24% expressed a high level of trust in AI output. This gap suggests future Agile processes will continue to require human review and validation.
• Platform engineering has reached 90% adoption among organizations in the 2025 delivery research, and higher-quality internal platforms correlate with a greater ability to capture value from AI.
• Looking beyond technology, 63% of employers identify skills gaps as a major barrier to business transformation through 2030, while 85% plan to prioritize workforce upskilling. Future Agile maturity will therefore depend heavily on leadership and human capability development.

Frequently Asked Questions (FAQs)

Conclusion

Agile Statistics shows that Agile continues to evolve rather than follow a single fixed model. Organizations increasingly combine Agile with hybrid project management, DevOps, AI-assisted workflows and data-driven decision-making to improve delivery and adapt to changing business conditions. About 70% of business-agility respondents identify AI and automation as major forces affecting teams, while 76% of project professionals expect their organizations to increase Agile use over the coming years. However, technology alone does not determine results.

Tool integration, data quality, leadership support, workforce skills and the ability to connect delivery work with customer and business outcomes remain critical. The strongest Agile organizations will focus on adaptive leadership, reliable metrics, integrated data, continuous feedback and measurable customer value instead of treating framework adoption as the end goal.