| Area: 18450 km2 | |
| Population: 4043002 | |
| GDP at current prices (M EUR): 135328.07 | |
| GDP per capita at current prices (EUR): 33700 | |
| % of National GDP: No information available. | |
| % of Unemployment: 3.1% | |
| Regional GERD (%): : |
| Name of strategy | Innovation Strategy of the Free State of Saxony (Update |
| Type of strategy | Regional |
| Languages | DE |
| Strategy approved | Yes |
| Name | Position | Contact |
|---|---|---|
| Viktor Slavtchev | Saxon State Ministry for Economic Affairs;Labour and Transport | viktor.slavtchev@smwa.sachsen.de;innovationsstrategie@smwa.sachsen.de |
No information available.
| Aerospace & Defence ➝ | ||
| Agri-food ➝ | ||
| Construction ➝ | ||
| Creative & Cultural Industries ➝ | ||
| Digital ➝ | ||
| Electronics ➝ | ||
| Energy/Renewable Energy ➝ | ||
| Energy Intensive Industries ➝ |
| Healthcare ➝ | ||
| Mobility, Transport & Automotive ➝ | ||
| Proximity Economy ➝ | ||
| Retail ➝ | ||
| Social Economy ➝ | ||
| Textiles ➝ | ||
| Tourism ➝ |
These keywords, identified using AI and manually verified, highlight the key elements of each strategic priority as reflected in individual strategies.
These keywords, identified and associated through semantic AI algorithms and manually reviewed, support the search function by identifying topics related to each strategic priority. While a priority may not explicitly focus on these keywords, they provide meaningful connections. For exxample, agricultural terms might relate to circular economy priorities, such as biofuels or agricultural waste valorisation. Semantically associated keywords enable users to find regions with similar or related priorities, offering a starting point for deeper exploration of each specific strategy.
| Priority | Descriptive keywords | Semantic keywords |
|---|---|---|
| Environment | sustainable innovation, circular economy, water management, climate protection, environmental engineering, eco-innovation | climate action, climate adaptation, renewable energy, low-carbon and emission reduction technologies |
| Raw materials | raw materials, resource management, recycling, mineral extraction, supply chain, critical raw materials | energy intensive industries, carbon-intensive industry, metal processing |
| Digital | digitalisation, Internet of Things, smart systems, artificial intelligence, digital innovation, Industry 4.0 | digital transformation, computing and data management, cybersecurity, data science, data and technology solutions, digital business model, automation and digital transformation, industrial automation |
| Energy | sustainable transition, renewable energy, energy efficiency, energy conversion, storage technologies, hydrogen | renewable energy, renewable energy sources, offshore renewable energy, energy efficiency and smart energy, energy efficiency technology, low-carbon and emission reduction technologies |
| Mobility | emissions reduction, electric vehicles, autonomous driving, intelligent transport systems, charging infrastructure, mobility innovation | mobility, transport, autonomous mobility, smart urban mobility system, public transportation, green infrastructure and mobility, green transportation |
| Health | life sciences, regenerative medicine, biotechnology, personalized medicine, digital health, telemedicine | health, health research and innovation, digital health, health informatics |
| Economic classification (NACE section & division) | Scientific classification (NABS digit 1 & 2) | |
|---|---|---|
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| Document type | Link |
|---|---|
| Webpage | Kohesio: Region/Member State |
| Webpage | Link to ERDF programmes database |
No information available.
No information available.
No information available.