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Forrester Consulting Finds IntelliJ IDEA Delivered 155% ROI and Highlights Open Approach to AI

Source: The JetBrains Blog•November 12, 2026 at 04:43 PM

Forrester Consulting Finds IntelliJ IDEA Delivered 155% ROI and Highlights Open Approach to AI

We’re excited to share Forrester’s newly released Total Economic Impact™ (TEI) study of IntelliJ IDEA, which JetBrains commissioned to understand how IntelliJ IDEA has delivered value historically and how it continues to do so. Forrester interviewed nine senior engineering and technology leaders…

IntelliJ IDEA – the Leading IDE for Professional Development in Java and Kotlin

We’re excited to share Forrester’s newly released Total Economic Impact™ (TEI) study of IntelliJ IDEA, which JetBrains commissioned to understand how IntelliJ IDEA has delivered value historically and how it continues to do so.

Forrester interviewed nine senior engineering and technology leaders whose organizations have between 400 and 4,000 IntelliJ IDEA seats. Based on those interviews, it built a composite organization, a global financial services company with 2,000 developers, using IntelliJ IDEA.

Over three years, the composite organization saw:

  • A 155% return on investment
  • A net present value of $18.4 million
  • $30.3 million in benefits against $11.9 million in costs (present value)
  • Payback in nine months

The study highlighted IntelliJ IDEA’s impact on code quality, productivity (especially review time), and its open approach to AI, which allows developers to switch between models as their needs change or the tools evolve.

Code quality is the largest benefit

All nine interviewees named improved code quality as the biggest benefit of IntelliJ IDEA. In the study, code quality covers code review, testing, remediation, debugging, and refactoring – all crucial areas of development supported by capabilities built on more than 20 years of IDE intelligence. At the composite organization, this work accounts for about 30% of developers’ time, and we expect that number will only continue to grow as agents take on more code generation.

“For the code review experience itself […] using agents to assist with that, we are seeing about a 12% to 15% faster PR cycle time.”

– Lead Principal Engineer, Software

Forrester models a 15% reduction in PR cycle time in Year 1, 17.5% in Year 2, and 20% in Year 3, as developers make more use of automated inspections, real-time code analysis, integrated testing, and refactoring tools. This benefit has a risk-adjusted present value of $16.3 million, more than half of the study’s total.

Improved Code Quality

Three-year total: $19,880,438

Three-year present value: $16,330,537

Year 1

Year 2

Year 3

“IntelliJ IDEA is best for large, distributed codebases, even across enterprise architecture, as it understands links to other parts of the business.”

– CTO, E-commerce

Interviewees credited IntelliJ IDEA's understanding of dependencies across large, complex codebases for catching problems before they reach production. The Director of Software Engineering at a telecommunications company said their error rate "was also around 10% less when using IntelliJ IDEA, even before AI came."

Forrester also notes that code review becomes even more important as teams adopt AI-assisted development, since AI-generated code has to be validated against the same quality standards.

Productivity gains that continue to grow

Forrester found that IntelliJ IDEA improves developer productivity by up to 20%, defining productivity as faster pull request throughput and team-level efficiency gains, combined with less friction from consolidating tools and switching context. IntelliJ IDEA makes code creation 20% more efficient by years 2 and 3, saving the business $5.7 million. Interviewees also said the IDE's understanding of large codebases means developers avoid having to write additional code that other tools would require. One telecom engineering director said developers can now finish refactoring work in five hours instead of eight. Many of the features that make coding easier and more productive for developers writing code can also help developers using agents.

Increased Developer Efficiency For Code Creation

Three-year total: $6,942,375

Three-year present value: $5,704,308

Year 1

Year 2

Year 3

Metrics combined = Developers using IntelliJ IDEA × Portion of time spent on coding × Increased developer coding efficiency with IntelliJ IDEA × Fully burdened annual salary for a developer using IntelliJ IDEA × Productivity capture rate

Onboarding is faster as well. With consistent environments and shared configurations, new developers become productive one week sooner, and remote development helps developers moving to a new project save 16 hours each.

Faster Onboarding For New Developers And New Projects

Three-year total: $6,134,400

Three-year present value: $5,085,115

Year 1

Year 2

Year 3

Metrics combined = ((New developers using IntelliJ IDEA × Hours saved on onboarding a new developer) + (Developers switching projects × Hours saved on onboarding for a new project)) × Fully burdened hourly rate for a developer using IntelliJ IDEA

Forrester also links the productivity gains to higher developer satisfaction, which cuts turnover. This benefit, combined with faster onboarding, adds $8.2 million of value to the composite organization.

The Impact Of Improved Developer Satisfaction On Tenure

Three-year total: $3,786,750

Three-year present value: $3,139,029

Year 1

Year 2

Year 3

“The richness of the tools is what makes it very, very sticky for experienced hires. [They] want to be more productive, and that makes retention easier.”

– Global Head of Engineering, Financial Services

An open approach to AI

Every interviewee highlighted IntelliJ IDEA's open approach to AI as a key benefit. Developers can use JetBrains AI tools and Junie alongside third-party models and agents directly inside the IDE, so teams can evaluate new tools as they appear or as models change and choose different ones for different tasks. In a market where models update constantly, this flexibility is critical to ensure developers can access the best tool for the job at any given moment.

“IntelliJ IDEA serves as a stable platform so that we can adopt internal or third-party tools faster without disrupting current workflows.”

– Senior Software Engineer, Financial Services

Interviewees at organizations with high AI adoption reported large increases in output, with one CTO measuring a 10% to 40% boost in pull requests per developer per week. However, one head of engineering noted that while code creation with AI is much faster, review, debugging, and standardization are much slower, so the total time from presubmit to production is about the same. Forrester notes that because IntelliJ IDEA understands how code changes affect the rest of a project, it may help reduce the risks associated with AI-generated code, and embedded features could help alleviate those bottlenecks.

“IntelliJ IDEA can be fully deployed behind the firewall, including AI models, which enables work on sensitive telecom, billing, and network systems without having to expose data externally.”

– Director of Software Engineering, Telecommunications

Where we're going next

The new bottlenecks around review and verification and threats to code quality are some of the key problems that JetBrains Air was built to address. Air is an open, coherent system of products for developers, teams, and organizations, inside and beyond JetBrains IDEs. Air in IntelliJ IDEA brings a complete agentic development experience into the IDE, where developers can direct agents and verify their output using the same code intelligence that Forrester's interviewees credited with higher code quality, context, and productivity. It supports the open, multi-vendor approach that Forrester highlights as a key advantage, and puts developers firmly in the driver’s seat.

If you’d like to learn more about the immediate business benefits of using IntelliJ IDEA, read the full Forrester TEI study.

This study was commissioned by JetBrains and delivered by Forrester Consulting. Results are based on a composite organization built from interviews with nine IntelliJ IDEA customers.

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