Graph Neural Network Report Cover TrendFeedr

Graph Neural Network Report

: Analysis on the Market, Trends, and Technologies
Topic Size
trending indicator
Topic Maturity
Monthly Search Volume

The landscape of graph neural networks (GNNs) presents a promising and dynamic ecosystem within the business, innovation, and technology domains. As an emergent and developing field, GNNs have shown substantial growth in interest and investment, with applications spanning across various industries such as software development, IT services, R&D, education management, and more. The integration of GNNs with artificial intelligence, machine learning, and big data highlights their potential to revolutionize industry standards by enabling accurate predictions, personalized recommendations, and efficient data processing. This report delves into the taxonomy of key activities, emergent trends, technologies, and methodologies that characterize the GNN sector, offering a forward-looking perspective on its potential for innovation and growth.

We updated this report 5 days ago. Missing information? Contact us to add your insights.

Topic Dominance Index of Graph Neural Network The Topic Dominance Index takes a comprehensive approach to analyzing the evolution of Graph Neural Network. The trendline combines the share of voice distributions of the topic from 3 data sources: published articles, founded companies, and global search. The combined distribution is measured over the last 5 years and shows relative dominance of Graph Neural Network to all known Trends and Technologies.

Dominance Index growth in the last 5 years: 246.77%
Growth per month: 2.42%

Key Activities and Applications

  • Development of state-of-the-art AI research technology into practical solutions for real-world problems.
  • Leveraging GNNs for sustainability and risk data analysis in global supply chains.
  • Advancing data-driven urban planning, digital twins, and geospatial technologies for smart cities.
  • Employing GNNs in document processing platforms for business information extraction.
  • Innovating in mobility and transportation, particularly towards achieving Level 5 Autonomy in aerial mobility.
  • Enhancing research and development in information technology, computer science, and wireless networks.
  • Utilizing GNNs in investment strategies, risk analysis, and financial analytics platforms.

Technologies and Methodologies

  • Integration of artificial intelligence, machine learning, and big data with GNNs.
  • Adoption of multi-modal AI engines, data digital twins, and advanced analytics in industrial processes.
  • Application of GNNs in quantum computing and quantum technology services.
  • Use of GNNs in developing performance ingredients for sustainable products.
  • Deployment of synthetic service agents to improve customer experience and contact center intelligence.

Graph Neural Network Funding

A total of 23 Graph Neural Network companies have received funding.
Overall, Graph Neural Network companies have raised $1.2B.
Companies within the Graph Neural Network domain have secured capital from 65 funding rounds.

The chart shows the funding trendline of Graph Neural Network companies over the last 5 years

Funding growth in the last 5 years: 388.57%
Growth per month: 4.05%

Graph Neural Network Companies

TrendFeedr's Companies feature provides access to millions of detailed company profiles. The feature gives a better understanding of 111 companies that drive Graph Neural Network, how mature and well-funded these companies are.

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111 Graph Neural Network Companies

Discover Graph Neural Network Companies, their Funding, Manpower, Revenues, Stages, and much more

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Graph Neural Network Investors

Gain insights into 27 Graph Neural Network investors and investment deals. TrendFeedr’s investors tool presents an overview of investment trends and activities, helping create better investment strategies and partnerships.

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27 Graph Neural Network Investors

Discover Graph Neural Network Investors, Funding Rounds, Invested Amounts, and Funding Growth

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Graph Neural Network News

Gain a competitive advantage with access to 866 Graph Neural Network articles with TrendFeedr's News feature. The tool offers an extensive database of articles covering recent trends and past events in Graph Neural Network. This enables innovators and market leaders to make well-informed fact-based decisions.

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866 Graph Neural Network News Articles

Discover Latest Graph Neural Network Articles, News Magnitude, Publication Propagation, Yearly Growth, and Strongest Publications

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Executive Summary

Graph neural networks are at the forefront of a transformative wave in business and technology. With their ability to model complex relationships and dependencies, GNNs are being harnessed to create innovative solutions across diverse industries. The ecosystem is characterized by a robust growth trajectory, as evidenced by the significant increase in funding, media coverage, and workforce expansion. The intersection of GNNs with AI, machine learning, and big data is not only enhancing existing applications but also paving the way for new opportunities and breakthroughs. As the field continues to evolve, it is expected to play a critical role in shaping the future of data-driven decision-making and industry standards.

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