Global Artificial Intelligence Accelerator Technology Market Penetration Report 2021 with Companies to Watch

DUBLIN, January 20, 2022 /PRNewswire/ — The report “Technology Market Penetration and Roadmap for AI Accelerators” has been added to from ResearchAndMarkets.com offer.

This technology and innovation report offers insights and growth opportunities for AI Acceleration Hardware or AI Accelerators.

The proliferation of Internet of Things applications, such as smart manufacturing and smart transportation, has led to the explosion of artificial intelligence (AI) and big data. These applications rely heavily on complex AI and machine learning algorithms, requiring IT solutions to handle varying workloads. Power-hungry, expensive, and legacy hardware such as central processing units limit the large-scale deployment of AI solutions. The demand for energy-efficient, low-capital-cost AI acceleration hardware is high.

According to Moore’s Law, the number of transistors on a chipset should double every two years, increasing the speed and performance of computing devices. The conventional way to satisfy Moore’s Law is to shrink the transistors.

However, engineers are finding it increasingly difficult to downsize transistors. AI acceleration hardware based on traditional chipset architecture seems to be approaching a bottleneck due to design limitations. Stakeholders are forced to develop next-generation AI acceleration hardware architecture, which leads to performance disruption.

The research field focuses on the benefits and applications of AI accelerators and covers the following:

  • Technology landscape and roadmap
  • Research and development trends
  • Funding Trends
  • Regional trends
  • Stakeholder ecosystem
  • Drivers and obstacles to growth

Main topics covered:

1.0 Strategic Imperatives
1.1 Why is it increasingly difficult to grow taller? The Strategic Imperative: Factors Putting Pressure on Growth
1.2 The strategic imperative
1.3 The impact of the three main strategic imperatives on AI accelerators
1.4 Growth Opportunities Fuel the Growth Pipeline Engine
1.5 Research Methodology

2.0 Growth Environment
2.1 Scope of research
2.2 Search Results

3.0 AI Accelerators – Technology Landscape
3.1 AI Accelerators – Technology Overview
3.2 AI accelerators enable heterogeneous processing to handle varying AI workloads
3.3 Drivers of growth
3.4 Obstacles to growth

AI Accelerators 4.0 – R&D Trends
4.1 At-Memory Computing and Energy Efficiency Emerging as Key Innovation Areas
4.2 Patent Landscape Suggests Focus on Improving AI Hardware for Heterogeneous Processing
4.3 US Jurisdiction Dominates Patent Activities in Accelerating AI
4.4 Analog AI to overcome bottlenecks related to data shuffling

5.0 AI Accelerators – Funding Trends
5.1 Strategic Investors to Commercialize Green Edge AI Accelerators
5.2 Strategic Investors Consider Custom Data Flow Architecture
5.3 Companies are interested in promising AI acceleration start-ups

6.0 AI Accelerators- Market Impact and Technology Roadmap
6.1 NLP and New Age Vision Systems Drive Innovations in AI Accelerators
6.2 The United States Offers High Growth Opportunities for AI Accelerator Startups
6.3 AI-on-5G chipsets will become a reality in the medium term

7.0 AI Accelerators – Companies to Watch
7.1 Untether AI, USA
7.2 SiMa.ai, USA
7.3 Hello, Israel
7.4 IBM Research AI Hardware Center, USA
7.5 Graphcore, UK

8.0 Universe of growth opportunities
8.1 Growth Opportunity 1: AI accelerators will witness strong demand from the automotive industry
8.2 Growth Opportunity 2: Smart Cities Offer Collaborative Opportunities for AI Accelerator Startups
8.3 Growth Opportunity 3: AI Chipsets to Accelerate Healthcare and Pharma Collaborations

9.0 Industry Contacts
9.1 Key contacts

10.0 Next Steps

For more information about this report visit https://www.researchandmarkets.com/r/gxh7jm

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SOURCE Research and Markets

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