Industrial Transformation in ASEAN: A Cluster-Driven Model for Regional and Global Collaboration

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The report outlines a cluster-driven model to accelerate the energy transition in ASEAN, highlighting the role of industrial clusters in overcoming policy, infrastructure, and financing barriers. It provides a maturity playbook for clusters and presents case studies from Malaysia, Thailand, Indonesia, Singapore, and Japan to demonstrate how collaborative ecosystems can scale decarbonization efforts.

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  • ASEAN faces significant energy security risks due to a heavy reliance on fossil fuels, which meet nearly 80% of its energy demand. The region is projected to become a net gas importer by the late 2020s, with oil import costs potentially exceeding $200 billion by 2050.
  • The region is currently off-track to meet its 2016–2025 ASEAN Plan of Action for Energy Cooperation (APAEC) goals, specifically lagging in energy intensity reduction (target 32%) and the share of renewables in total supply (target 23%).
  • Industrial clusters are identified as critical platforms for decarbonization because they concentrate high-emitting facilities and significant economic activity. For example, five industrial provinces in Thailand—Ratchaburi, Chon Buri, Rayong, Saraburi, and Samut Prakan—contribute heavily to both economic growth and emissions.
  • ASEAN's energy transition is hindered by three primary categories of barriers: policy fragmentation (including inconsistent standards and fossil fuel subsidies), infrastructure gaps (such as ageing grids and 'gas lock-in'), and financing gaps, with an estimated $11.9 trillion needed by 2050.
  • The report introduces a 'cluster playbook' that guides industrial clusters through three maturity stages: Formation (aligning stakeholders and mapping opportunities), Developing (creating actionable strategies and pilot projects), and Scaling (institutionalizing coordination and full-scale technology rollout).
  • Case studies demonstrate the application of the cluster model: the Indo-Pacific Net-Zero Battery-Materials Consortium in Sulawesi aims to produce 140 GWh of nickel-based batteries; PETRONAS is developing a biorefinery in Pengerang for sustainable aviation fuel (SAF) and hydrogenated vegetable oil (HVO); and the Saraburi Sandbox in Thailand focuses on decarbonizing the cement sector.
  • Global partnerships are essential for ASEAN's transition, with Japan focusing on hydrogen and ammonia via the Asia Zero Emission Community (AZEC), China investing over $2.7 billion in clean energy, the EU providing regulatory and financial support through the Global Gateway, and the US prioritizing critical mineral supply chains and digital infrastructure.

Cite the original document

APA
World Economic Forum (2026). Industrial Transformation in ASEAN: A Cluster-Driven Model for Regional and Global Collaboration. https://reports.weforum.org/docs/WEF_Industrial_Transformation_in_ASEAN_A_Cluster-Driven_Model_for_Regional_and_Global_Collaboration_2026.pdf
Chicago
World Economic Forum. Industrial Transformation in ASEAN: A Cluster-Driven Model for Regional and Global Collaboration. 2026. https://reports.weforum.org/docs/WEF_Industrial_Transformation_in_ASEAN_A_Cluster-Driven_Model_for_Regional_and_Global_Collaboration_2026.pdf.
Wikipedia
{{cite report |author=World Economic Forum |title=Industrial Transformation in ASEAN: A Cluster-Driven Model for Regional and Global Collaboration |date=January 2026 |url=https://reports.weforum.org/docs/WEF_Industrial_Transformation_in_ASEAN_A_Cluster-Driven_Model_for_Regional_and_Global_Collaboration_2026.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{worldeconomicforum2026industrial, author = {{World Economic Forum}}, title = {{Industrial Transformation in ASEAN: A Cluster-Driven Model for Regional and Global Collaboration}}, institution = {World Economic Forum}, year = {2026}, month = jan, url = {https://reports.weforum.org/docs/WEF_Industrial_Transformation_in_ASEAN_A_Cluster-Driven_Model_for_Regional_and_Global_Collaboration_2026.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

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