Scenario-Based Analysis of the Future Technological Trends in the Automotive Sector in Southeast Lower-Saxony

The automotive industry faces radical technological change, driven by the adoption of electrification, automation, and digitalization. As a leading industrial hub with key OEMs and suppliers, such as Volkswagen, Southeast Lower Saxony is disproportionately impacted by this structural transformation. As a consequence of these trends, the region’s automotive base faces economic uncertainties, local regulatory lag, and technological disruptions. In this study a scenario planning methodology is conducted, to identify three potential mobility futures for 2035: a Best-Case scenario, where innovation and favorable policies enable a stable growth environment for the local automotive industry; a Trend scenario, marked by incremental yet uneven progress, while maintaining the current status quo; and a Worst-Case scenario, defined by economic stagnation and regulatory impediments, leading to a slow degradation of the regional automotive industry. The scenarios are then evaluated based upon their impact and probability of occurrence, while individual impact factors were also prepared and categorized to support future decision-making on a topical basis. This study offers an overview of potential scenarios for the Southeast Lower Saxon automotive industry, supporting the strategic decision-making.

Authors

Institutions

Publication Details

Journal
Applied System Innovation
Published
2026-01-26
DOI
https://doi.org/10.3390/asi9020028
Citations
1
Primary Topic
Flexible and Reconfigurable Manufacturing Systems
Type
article
Field-Weighted Citation Impact
35.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scenario-Based Analysis of the Future Technological Trends in the Automotive Sector in Southeast Lower-Saxony

Lars Everding, Bassem Hichri, Axel Sturm, Maximilian Flormann et al.
1 citations
Applied System Innovation
Flexible and Reconfigurable Manufacturing Systems
35.67
article

Scenario-Based Analysis of the Future Technological Trends in the Automotive Sector in Southeast Lower-Saxony

Lars Everding, Bassem Hichri, Axel Sturm, Maximilian Flormann, T. Vietor, Armin Stein, Henrik Münchhausen, Björn Krüger
article en
1 citations

Abstract

The automotive industry faces radical technological change, driven by the adoption of electrification, automation, and digitalization. As a leading industrial hub with key OEMs and suppliers, such as Volkswagen, Southeast Lower Saxony is disproportionately impacted by this structural transformation. As a consequence of these trends, the region’s automotive base faces economic uncertainties, local regulatory lag, and technological disruptions. In this study a scenario planning methodology is conducted, to identify three potential mobility futures for 2035: a Best-Case scenario, where innovation and favorable policies enable a stable growth environment for the local automotive industry; a Trend scenario, marked by incremental yet uneven progress, while maintaining the current status quo; and a Worst-Case scenario, defined by economic stagnation and regulatory impediments, leading to a slow degradation of the regional automotive industry. The scenarios are then evaluated based upon their impact and probability of occurrence, while individual impact factors were also prepared and categorized to support future decision-making on a topical basis. This study offers an overview of potential scenarios for the Southeast Lower Saxon automotive industry, supporting the strategic decision-making.

Applied System InnovationVol. 9(2)
Technische Universität Braunschweig (DE)
Bundesministerium für Wirtschaft und Energie
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Flexible and Reconfigurable Manufacturing Systems
35.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.