Industry 5.0 Market Intelligence Report Offers Key Futuristic Top Trends, Research Methodology and Competitive Landscape By 2030

Industry 5.0 focuses on the collaboration of advanced technologies such as Artificial Intelligence (AI)/Machine learning (ML), big data analytics, Internet of Things (IoT) with human intelligence. Considering growing stringent environmental regulations, industry 5.0 helps businesses focus on sustainable manufacturing processes and products and improves personalization and resilience. Apart from this, growing market competition, increasing demand for personalized products, technological advancements in AI/ML, IoT, and cloud computing, increasing investments in Industry 5.0 and growing government support are driving growth in this sector.

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The global industry 5.0 market is segmented on technology, company size, and industry. Based on the technology, the market is sub-segmented into Artificial intelligence (AI)/Machine learning (ML), robotics, Internet of Things (IoT), big data analytics, and other technologies such as Digital twins, Edge computing, and quantum computing. Based on company size the market is sub-segmented into small and medium enterprises (SMEs) and large enterprises. Based on industry, the market is sub-segmented into manufacturing, healthcare, energy, retail, automotive, and other industries such as government, logistics and supply chain. The healthcare sector is expected to hold a prominent share in the global industry 5.0 sector. According to Global Data Alliance, 94% of global Fortune 1000 companies reported supply chain disruptions due to Covid-19 in early 2020. Digital technologies such as data analytics, artificial intelligence (AI), and blockchain can support freight scheduling, sourcing, and inventory management, promote safety and fight counterfeiting, increase efficiency and resilience, reduce costs, and minimize disruption. Considering the benefits of Industry 5.0, companies are investing in technological advancements such as AI/ML for predictive analytics, cloud computing, and IoT to improve efficiency. For instance, In May 2023, SAP launched an AI solution logistics and supply chain industry named SAP Business AI in collaboration with Microsoft. In this partnership, SAP will integrate its solutions with Microsoft 365 Copilot and Azure OpenAI to help customers expand their logistic capabilities.

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  • Market Coverage
  • Market number available for – 2024-2031
  • Base year- 2024
  • Forecast period- 2024-2031
  • Segment Covered- By Source, By Product Type, By Applications
  • Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
  • , and others

Market Segmentation

Global Industry 5.0 Market by Technology

  • Artificial intelligence (AI)/Machine learning (ML)
  • Robotics
  • Internet of Things (IoT)
  • Big data analytics
  • Others (Digital twins, Edge computing, Quantum computing)

By company size:

  • Small and medium-sized enterprises (SMEs)
  • Large enterprises

Global Industry 5.0 Market by Industry

  • Chemicals
  • Manufacturing
  • Healthcare
  • Energy
  • Retail
  • Automotive
  • Others (Government, Logistics, and supply chain)

Company Profiles 

  • KUKA AG (a subsidiary of Midea Group Co Ltd.)
  • Nexus Integra
  • Microsoft Cooperation
  • Mitsubishi Electric Corporation
  • ECOSISTEMAS VIRTUALES Y MODULARES, SL
  • Nfq Advisory SL
  • Universal Robots A/S (subsidiary of Teradyne, Inc.)
  • ORINOX
  • Schneider Electric SE
  • UnifyTwin Inc.

The Report Covers

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global industry 5.0 market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying ‘who-stands-where’ in the market.

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