The product engineering services industry continues to grow at an unprecedented pace. Based on IDC, the worldwide spending on digital engineering and product development services is projected to surpass $1.5 trillion by 2027, primarily driven by the AI transformation, cloud modernization, and increased demands from customers.
However, despite their investments in digital products, many enterprises find it difficult to move forward at their own pace. In particular, engineering teams face growing challenges around icreasing speed of delivery, transforming existing IT infrastructure into the modern environment, AI transformation, improving digital experiences, ensuring product compliance and security, and optimizing operational complexity.
Thus, the role of product engineering services becomes even more critical. To simplify, the scope of product engineering covers the full cycle of design, development, modernization, testing, scaling, and improvement of digital products.
But this approach entails a subtle nuance. Unlike outsourcing services, product engineering focuses on ownership, innovation, the user experience quality, and product evolution.
The best product engineering companies do not only provide efficient support for ticket execution. They challenge enterprises to reconsider their approaches to product development, scaling, management, and continuous improvement.
What Are Product Engineering Services?
Going Beyond Software Development
Product engineering services involve all aspects of the product life cycle right from the discovery stage to platform engineering and optimization. They include:
- Product discovery
- Architecture design
- Cloud engineering
- Platform engineering
- Data engineering
- DevSecOps
- User experience/user interface design
- AI integration
- Product modernization
- Quality engineering
The job of a software product engineering service provider is not just about developing applications anymore. Organizations today want their engineering partner to contribute to product vision and speed innovation.
Reasons for Reinvestment in Product Engineering Services
There are various reasons behind the renewed interest in product engineering services.
Firstly, there has been a shift in the expectations of customers. Customers are now expecting digital experiences and regular releases, along with personalized AI solutions.
Secondly, AI is reshaping the entire product development process. Gartner predicted at the beginning of 2026 that more than 70% of enterprise applications would incorporate some AI-based functionality in the coming three years.
Thirdly, older technology is impeding the innovation process. Most businesses are using outdated architecture systems, which restrict the pace of product development.
How to Choose a Product Engineering Services Company
Technical Depth Beyond Coding
A good engineering partner should architectural skills, not just coding expertise.
Check their expertise in areas such as:
- Cloud-native engineering
- Platform engineering
- AI engineering
- DevSecOps engineering
- Data engineering
- Distributed systems engineering
As you already know, modern product engineering is becoming increasingly tied to cloud engineering, AI engineering, and data architecture.
Industry Domain Expertise
Not all technology knowledge is equal. The best product engineering services companies know well the operational challenges faced by the industries they work in. In regulated sectors like banking, healthcare, and telecom, domain knowledge is critical in relation to:
- Compliance
- Security
- Product scalability
- Customer trust
Without domain knowledge, engineering often causes trouble down the road.
Product Thinking vs Project Thinking
Project-oriented firms care primarily about delivery. The best engineering partners think from the product standpoint considering aspects such as:
- Product/User adoption
- Product evolution
- Product scalability
- Product/Business outcomes
The strongest product engineering partners essentially become an extension of your internal product organization.
Data Governance and Compliance
Adoption of AI changes the nature of engineering work. Now, product engineers are responsible for things such as:
- Data lineage
- AI governance
- Privacy controls
- Security standards
- Regulatory compliance
Engineering decisions increasingly have governance implications.
Scalability and Global Delivery
Today’s product organizations work continuously from day to day and across time zones. Determine whether the partner can:
- Support distributed agile teams
- Scalable delivery models
- Follow-the-sun operations
- Cross-functional engineering pods
The ability to scale is no longer just adding developers.
Cultural and Operational Fit
It’s often overlooked in procurement. Even technically adept partnerships break down due to poor communication, flawed collaboration models, or lack of transparency.
The strongest product engineering relationships are collaborative, not transactional.
15 Best Product Engineering Services Companies in 2026
| Company | Best For | Core Strength | AI Engineering | Delivery Model |
| Ness Digital Engineering | AI-first product modernization | Intelligent Engineering | High | Global |
| Thoughtworks | Agile transformation | Software craftsmanship | High | Consulting-led |
| Globant | Experience-led engineering | Design + AI | High | Global |
| GlobalLogic | Embedded engineering | Product R&D | Moderate | Distributed |
| Accenture | Large-scale transformation | Enterprise scale | High | Enterprise global |
| EPAM | Platform modernization | Complex engineering | High | Hybrid |
| Publicis Sapient | Digital business transformation | Experience + engineering | Moderate | Consulting |
| Persistent Systems | Enterprise modernization | Cloud + data | Moderate | Global |
| Endava | Agile engineering | Financial services | Moderate | Distributed |
| Nagarro | Agile product delivery | Speed and flexibility | Moderate | Global |
| Luxoft | Automotive and BFSI engineering | Specialized engineering | Moderate | Global |
| SoftServe | Cloud and analytics | AI + cloud | High | Hybrid |
| LTIMindtree | Enterprise modernization | Scale delivery | Moderate | Offshore-heavy |
| Cognizant Softvision | Digital products | Agile delivery | Moderate | Global |
| Capgemini Engineering | Enterprise engineering | Industry scale | Moderate | Enterprise |
Ness Digital Engineering (Ness) differentiates from other players by seeing product engineering as a key operational capability rather than a mere delivery service. While many of its competitors still work within project and staff augmentation frameworks, Ness follows a completely different path through what it refers to as Intelligent Engineering. In this approach, the company integrates artificial intelligence, automation, cloud native engineering, and engineering intelligence in all phases of the product lifecycle.
By 2026, enterprises do not need vendors who only create applications. On the contrary, they want an engineering partner able to continuously improve their products, release faster, modernize platforms, and implement AI into real-life operations. Ness unifies the below into comprehensive engineering programs that have business results measurable by KPIs:
- Product engineering
- Cloud modernization
- Data engineering
- AI enablement
- Experience design
- Platform engineering
Moreover, it is one of the strongest players in regulated industries where governance, scalability, and reliability are of equal importance as speed.
Best fit for: Enterprises looking for continuous modernization and engineering transformation powered by AI.
- Thoughtworks continues to gain a lot of traction with its deep skills in agile transformation and its unique engineering culture. Its main strengths include modern software architecture, platform engineering, and advanced developer practices. That said, enterprises that require large-scale transformation may find the company too focused on strategy rather than execution.
- Globant shines thanks to its experience-driven digital engineering and AI innovation studios. In particular, it does well with customer-centric digital products and transformations that focus on design and user experience.
- GlobalLogic boasts rich experience in product research & development and embedded engineering. It shows good performance in industries like health care, automotive, and telecom which are characterized by complicated engineering.
- Accenture delivers global scale alongside strong transformation capabilities. Its key strength is enterprise-scale modernization management programs, while some of its clients describe delivery approach as too process-driven.
- EPAM has established a reputation for handling large platform modernization projects and highly technical engineering engagements. The strength of EPAM comes from its ability to integrate strategic consulting with technical delivery expertise within cloud and digital ecosystems.
- Publicis Sapient specializes in transforming businesses with a digital focus, while also excelling in experience-based engineering. Publicis Sapient is known for its expertise in commerce and customer experience transformation.
- Persistent Systems has gained expertise in modernization efforts related to cloud and engineering initiatives focused on artificial intelligence and data.
- Endava prides itself on being an agile engineering partner that employs a very collaborative approach, especially when it comes to developing financial services platforms.
- Nagarro stands out with its agility and speed, delivering through a distributed agile model. Companies often hire Nagarro for their product engineering initiatives that require speed.
- IBM Consulting offers expertise in hybrid cloud, artificial intelligence, cybersecurity, and modernization, specifically in highly regulated industries.
- Deloitte Digital takes a business-driven approach to product engineering, encompassing business transformation, experience design, and execution.
- LTIMindtree offers large-scale delivery services, with expertise in platform engineering, digital engineering, and AI transformations.
- Cognizant Softvision focuses on delivering customer-centered digital products across industries such as retail, health care, and finance.
- Capgemini Engineering is highly experienced with delivering solutions across various engineering domains, such as industrial, telecommunications, automotive, and enterprise transformation.
Key Trends Shaping Product Engineering Services in 2026
Embedding Generative AI in Product Development Is Here
AI is no longer considered an innovative layer above the product. On the contrary, AI is now embedded into:
- SDLC operations
- Automation testing
- Code generation
- Personalization of the product
- Productivity improvements
According to GitHub, by the end of 2025, AI-based tools have already accounted for more than 40% of enterprises’ code generation processes.
Data Governance Becomes Part of Engineering
As the use of AI becomes more widespread, governance can no longer belong only to compliance departments. Now engineering teams take responsibility for:
- Traceable data
- Management of models
- Privacy control
- Explainability of AI usage
This change is altering product development and architecture from the very inception of the product.
Platform Engineering Becomes the Norm
Enterprises invest heavily in internal developer platforms and reusable engineering architectures. For what reason? To eliminate the hassle and speed up product delivery.
Product-Led Growth Drives the Evolution of Engineering
Today’s engineering organization plays an active role in:
- Customer retention
- Optimization of user experience
- Driving revenue growth
- Experimentation in product development
Thus, modern engineering drives the company’s growth instead of fulfilling its delivery goals.
Why Choose Ness for Product Engineering Services?
Any company can build software, but only a few can help enterprises continuously innovate their digital products as the environment changes quickly.
This is what sets Ness apart. Unlike other providers that consider product engineering a separate development process, Ness applies Intelligent Engineering that integrates engineering, AI, cloud, data, and design to produce adaptive and goal-oriented results.
How does this help?
- It accelerates modernization;
- Improves engineering efficiency;
- Minimizes any friction;
- Facilitates AI initiatives responsibly;
- Speeds up product delivery while maintaining governance.
Ness specializes in regulated industries because of the need to build compliant, resilient, and scalable solutions from the get-go rather than treat it as a secondary aspect.
Unlike traditional outsourcing aimed primarily at cost-cutting, our approach revolves around long-term product innovation and intelligent operations.
In 2026 and beyond, companies will succeed not by building more software but by engineering smart systems.