Semiconductor recycling market seen reaching $37.88B by 2030
By AI, Created 2:22 PM UTC, June 03, 2026, /AGP/ – The semiconductor recycling and sustainability market is growing as chipmakers and manufacturers face rising e-waste, tighter waste rules and pressure to recover more critical materials. The Business Research Company says the market climbed to $21.44 billion in 2026 and could nearly double to $37.88 billion by 2030.
Why it matters: - Semiconductor recycling is becoming a bigger part of how the chip industry manages e-waste, cuts dependence on virgin materials and supports circular manufacturing. - The market’s growth signals more investment in recovery technologies, waste traceability and closed-loop production systems. - Rising e-waste volumes are increasing the supply of recoverable silicon, precious metals and other materials.
What happened: - The Business Research Company published its Semiconductor Recycling & Sustainability Market Report 2026 on June 3, 2026. - The report says the market grew from $18.57 billion in 2025 to $21.44 billion in 2026. - The report projects the market will reach $37.88 billion by 2030. - The company points to Asia-Pacific as the largest regional market in 2025. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample report and the full market report are available online.
The details: - The report estimates a 15.5% compound annual growth rate for the historical period from 2025 to 2026. - The forecast period is expected to grow at a 15.3% CAGR through 2030. - Historical growth was driven by expanding semiconductor manufacturing volumes, rising electronic waste, early adoption of material recovery technologies, tighter waste-management rules and higher scrap rates in manufacturing. - Forecast growth is expected to come from more investment in sustainable fabrication facilities, higher demand for recycled critical materials, broader closed-loop manufacturing, recycling data analytics and stronger supply-chain resilience. - The report highlights improved recovery of semiconductor components, wider circular-economy practices, lower waste, more advanced recycling technologies and better traceability of waste flows as key trends. - Semiconductor recycling and sustainability includes reclaiming resources from obsolete devices, production scrap and electronic waste. - The approach can reduce operating costs, lower reliance on virgin inputs and improve resource efficiency. - The United Nations Institute for Training and Research said in March 2024 that global e-waste is rising by about 2.6 million tons a year. - UN training arm data projects global e-waste will reach 82 million tons by 2030, up 33% from 2022. - The report also lists added 2026 features including market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel forecasting dashboards, market hotspot infographics and updated graphics and tables. - The company also highlighted related reports on post-consumer recycled plastics, industrial semiconductors and battery recycling.
Between the lines: - The market growth story is less about recycling as a standalone environmental theme and more about supply security for a materials-intensive industry. - Semiconductor makers are under pressure to turn waste streams into inputs as regulation tightens and raw-material availability becomes more strategic. - The report’s emphasis on analytics and traceability suggests that data tools are becoming part of the recycling value chain, not just the physical recovery process.
What’s next: - The market is set to keep expanding through 2030 if e-waste continues to rise and chipmakers keep adding sustainability programs. - Demand should strengthen for technologies that improve recovery rates, reduce waste and document material flows. - Regional competition is likely to intensify as Asia-Pacific remains the largest market and other regions build out recycling capacity.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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