Short answer
Embrace the convergence of PLM with AI and digital twins to create more robust, efficient, and innovative product development processes.
- Field
- Innovation & Design
- Source
- Discover Sustainability (2025)
- Method
- Systematic Literature Review
- Evidence
- Strong effect
Integrating Product Lifecycle Management (PLM) with Artificial Intelligence (AI) and digital twins presents significant opportunities for enhancing product development and management across various industries. This innovation & design research insight is drawn from a 2025 study published in Discover Sustainability. Using Systematic literature review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Embrace the convergence of PLM with AI and digital twins to create more robust, efficient, and innovative product development processes.
PLM Integration with AI and Digital Twins Drives Future Product Development
Integrating Product Lifecycle Management (PLM) with Artificial Intelligence (AI) and digital twins presents significant opportunities for enhancing product development and management across various industries.
Discover Sustainability · 2025
Key Findings
- 01PLM is applied in defense, automotive, and SME sectors to manage product information and processes.
- 02Integration of PLM with AI and digital twins is a significant area for future research and development.
Application
Design takeaway
Embrace the convergence of PLM with AI and digital twins to create more robust, efficient, and innovative product development processes.
How to apply
When developing new products or improving existing processes, explore how AI-driven insights or digital twin simulations can inform design decisions and streamline management throughout the product's lifecycle.
Project actions
- 01Consider how your design project could benefit from a more integrated approach to product lifecycle management.
- 02Research how AI or digital twins are currently used in similar product development contexts.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a comprehensive overview of PLM applications.
- +Identifies key emerging technological integrations.
Limitations
The availability and cost of implementing advanced PLM, AI, and digital twin technologies can be a barrier for smaller projects or businesses.
Reliability & validity
The reliability of a systematic literature review depends on the rigor of the search strategy, inclusion/exclusion criteria, and the synthesis of findings. Validity is enhanced by a broad search across multiple databases and journals.
Think critically
To what extent can the benefits of PLM integration with AI and digital twins be realized by small businesses with limited resources?
Design Principles
"Leverage emerging technologies to create a holistic and intelligent product lifecycle management system."
Understanding the evolving landscape of PLM, particularly its convergence with advanced technologies like AI and digital twins, is crucial for designers and engineers. This integration promises to streamline processes, improve decision-making, and foster innovation throughout a product's entire existence.
What This Means for Your Design
Using smart computer tools (like AI and digital twins) with product management systems (PLM) can make designing and making products much better.
How to use in your project
- 1.Reference this study when discussing the strategic importance of product lifecycle management and the role of emerging technologies in your design process.
Add to My Project
Quick Cite
Paragraph starter
This systematic literature review by Aberkane and Aberkane (2025) highlights the evolving nature of Product Lifecycle Management (PLM), emphasizing its integration with advanced technologies such as Artificial Intelligence (AI) and digital twins. The research indicates that this convergence is a significant driver for future innovation and efficiency across sectors like defense, automotive, and SMEs, suggesting that designers and engineers should consider these integrated approaches in their practice to optimize product development and management.
Source
Discover Sustainability
Product lifecycle management: what sectors and what technologies used? A systematic literature review
journal · 2025
View sourceQuestions About This Research
- What does the research say about plm integration with ai and digital twins drives future product development?
- Embrace the convergence of PLM with AI and digital twins to create more robust, efficient, and innovative product development processes. Evidence: Discover Sustainability (2025).
- Why does "PLM Integration with AI and Digital Twins Drives Future Product Development" matter for design?
- Understanding the evolving landscape of PLM, particularly its convergence with advanced technologies like AI and digital twins, is crucial for designers and engineers. This integration promises to streamline processes, improve decision-making, and foster innovation throughout a product's entire existence.
- How can designers apply this research?
- Embrace the convergence of PLM with AI and digital twins to create more robust, efficient, and innovative product development processes.
- What were the main findings?
- PLM is applied in defense, automotive, and SME sectors to manage product information and processes.. Integration of PLM with AI and digital twins is a significant area for future research and development.
- What research method was used?
- Systematic Literature Review.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Discover Sustainability.
- What should I do differently in my next project?
- When developing new products or improving existing processes, explore how AI-driven insights or digital twin simulations can inform design decisions and streamline management throughout the product's lifecycle.
- What are the limitations?
- The review's scope is limited to specific sectors, and the effectiveness of PLM integration with AI and digital twins requires further empirical validation.