Short answer

Proactively plan for the end-of-life management of portable electronics by designing for disassembly and recovery, and advocate for robust recycling infrastructure to capture valuable resources.

Field
Resource Management
Source
Next Sustainability (2025)
Method
Forecasting and economic viability assessment
Evidence
Strong effect

Forecasting models predict substantial waste lithium-ion battery generation from laptops and mobile phones in Saudi Arabia, highlighting a critical need for resource recovery and recycling infrastructure. This resource management research insight is drawn from a 2025 study published in Next Sustainability. Using Forecasting and economic viability assessment, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Proactively plan for the end-of-life management of portable electronics by designing for disassembly and recovery, and advocate for robust recycling infrastructure to capture valuable resources.

Study
Resource ManagementNew This WeekStrong effect

Saudi Arabia to generate 1110 tons of waste lithium-ion batteries by 2030, offering significant recovery potential.

Forecasting models predict substantial waste lithium-ion battery generation from laptops and mobile phones in Saudi Arabia, highlighting a critical need for resource recovery and recycling infrastructure.

Next Sustainability · 2025

01

Key Findings

  • 01By 2030, Saudi Arabia is projected to generate 7515 tons of waste from obsolete laptops and mobile phones, including 1110 tons of waste lithium-ion batteries.
  • 02Significant quantities of valuable materials, such as 77.74 tons each of cobalt and lithium, 177 tons of graphite, and 166 tons of aluminum, are expected to be recoverable by 2030.
  • 03Hydrometallurgical processing is identified as the most economically viable recycling technology, with an estimated average net profit of $2.96 million.
02

Application

Design takeaway

Proactively plan for the end-of-life management of portable electronics by designing for disassembly and recovery, and advocate for robust recycling infrastructure to capture valuable resources.

How to apply

Use forecasting models to predict future waste streams in your region and assess the economic viability of recovering specific materials from end-of-life products to inform design and policy decisions.

Project actions

  • 01When researching e-waste, consider the specific types of devices and batteries prevalent in your target region.
  • 02Explore different forecasting models to predict future waste generation based on consumption trends.
  • 03Investigate the economic feasibility of material recovery from various recycling processes.
03

Method & Evidence

AimTo estimate the generation of waste lithium-ion batteries from laptops and mobile phones in Saudi Arabia and assess the potential for material recovery and recycling profitability.
MethodForecasting and economic viability assessment
ProcedureThe study utilized an ARIMA model combined with a Weibull distribution to forecast waste generation from 2000 to 2030. It then calculated the potential recovery of specific materials and evaluated the economic profitability of different recycling technologies, focusing on hydrometallurgical processing.
ContextElectronic waste management in Saudi Arabia, specifically focusing on lithium-ion batteries from mobile phones and laptops.

Variables

IV["Time period (2000-2030)","Device type (laptops, mobile phones)"]
DV["Waste generation (tons)","Material recovery potential (tons)","Recycling profitability (net profit)"]
CV["Geographic region (Saudi Arabia)","Recycling technology (hydrometallurgical processing)"]
04

Strengths & Limitations

Strengths

  • +Provides a quantitative forecast for waste generation, offering concrete figures for planning.
  • +Assesses both resource recovery potential and economic viability, linking environmental concerns with financial benefits.

Limitations

The accuracy of waste generation forecasts depends heavily on the quality and availability of historical data, and future technological advancements in recycling could alter profitability.

Reliability & validity

The reliability of the waste generation forecast depends on the accuracy of the ARIMA and Weibull models and the quality of historical data. Validity is supported by the focus on specific device types and a defined geographic region, though broader e-waste streams are not included.

Think critically

How might the rapid advancement of battery technology and the increasing demand for electric vehicles impact the projected waste generation and material recovery potential of lithium-ion batteries in the future?

05

Design Principles

"Design for circularity by considering material recovery and recyclability throughout the product lifecycle."

Understanding the scale of future e-waste, particularly from portable electronics, is essential for proactive resource management. This insight informs strategic planning for material recovery, enabling the capture of valuable metals and promoting a more circular economy.

06

What This Means for Your Design

By 2030, Saudi Arabia will have a lot of old phone and laptop batteries that can be recycled to get valuable metals like cobalt and lithium, and recycling them could make a lot of money.

How to use in your project

  • 1.Reference this study when discussing the environmental impact of electronic devices and the potential for material recovery in your design project.
  • 2.Use the forecasting methodology as inspiration for predicting future waste streams relevant to your design context.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Islam and Ali (2025) indicates that by 2030, Saudi Arabia is projected to generate over 1100 tons of waste lithium-ion batteries from laptops and mobile phones. This presents a significant opportunity for material recovery, with substantial amounts of cobalt, lithium, graphite, and aluminum potentially available for recycling. The study also highlights the economic viability of hydrometallurgical processing, suggesting a pathway for profitable resource management within a circular economy framework.

09

Source

Next Sustainability

Assessment of waste lithium-ion batteries generation from laptops and mobile phones in Saudi Arabia: Forecasting, material recovery, and recycling profitability

journal · 2025

View source

Questions About This Research

What does the research say about saudi arabia to generate 1110 tons of waste lithium-ion batteries by 2030, offering significant recovery potential?
Proactively plan for the end-of-life management of portable electronics by designing for disassembly and recovery, and advocate for robust recycling infrastructure to capture valuable resources. Evidence: Next Sustainability (2025).
Why does "Saudi Arabia to generate 1110 tons of waste lithium-ion batteries by 2030, offering significant recovery potential." matter for design?
Understanding the scale of future e-waste, particularly from portable electronics, is essential for proactive resource management. This insight informs strategic planning for material recovery, enabling the capture of valuable metals and promoting a more circular economy.
How can designers apply this research?
Proactively plan for the end-of-life management of portable electronics by designing for disassembly and recovery, and advocate for robust recycling infrastructure to capture valuable resources.
What were the main findings?
By 2030, Saudi Arabia is projected to generate 7515 tons of waste from obsolete laptops and mobile phones, including 1110 tons of waste lithium-ion batteries.. Significant quantities of valuable materials, such as 77.74 tons each of cobalt and lithium, 177 tons of graphite, and 166 tons of aluminum, are expected to be recoverable by 2030.. Hydrometallurgical processing is identified as the most economically viable recycling technology, with an estimated average net profit of $2.96 million.
What research method was used?
Forecasting and economic viability assessment.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Next Sustainability.
What should I do differently in my next project?
Use forecasting models to predict future waste streams in your region and assess the economic viability of recovering specific materials from end-of-life products to inform design and policy decisions.
What are the limitations?
The study's projections are based on specific modeling assumptions and may be influenced by future changes in device lifespans, consumption patterns, and technological advancements in recycling.