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Emerging Tech - Market Intelligence

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Emerging Tech - Market Intelligence
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Description

Our key strengths

  • Ranking of top disruptive technologies For 2025 from our community
  • Strong network of R&D experts through active contribution to R&D projects and assistance to start-ups/large groups

Edge Computing

Number of implementations of edge computing and major verticals in the benchmark.

Broad number of vertical addressed by edge computing

Blockchain in Media

Blockchain in video

Use case #1: Blockgraph by Compast

Key benefits:

  • Fast data matching - eliminates the need for a common matching provider, resulting in improved ROI for advertisers
  • Monetising insights for data owners - creating new revenue opportunities while preserving data privacy
  • Efficient targeting for publishers - the rich inventory of insights allows better audience targeting

National AI Strategies

Synopsis

This report encapsulates the core elements of the national strategies for the adoption of artificial intelligence(AI) in the European Union, the United Kingdom, Germany, France, Italy, Spain, Japan, China and the United States.

These include, for each strategy, the fundamental reports and supporting documents, the scope of sectoral focus and outlines of the initial and emerging stakeholders and players.

2. European Commission

Funding allocated towards AI-related pilot projects, research centers and digital hubs to double throughout Europe after 2020

The EU Commission 2018 - 2020 budget on AI is 2.6 billion EUR. This is expected to increase after 202i at an annual rate of 4 to 5 billion.

At least 500 million EUR of funding will go to digital innovation hubs and industrial data platforms across Europe. Until now, the EU has funded AI projects related to agriculture, eHealth, public administration and services, transportation and manufacturing . A large portion of this funding will strengthen facilities and facilitate operational activities.

6G: So, what happens in 2030? -Will 6G actually be needed?

Synopsis

With the development of 5G commercial services, research work has already begun on 'beyond 5G' systems with an emphasis on the use of Terahertz frequency bands. Such 6G systems could emerge in 2030 , and provide Tbpsdata rates and the basis for the 'Internet of Everything' , bearing in mind the imperatives of sustainable development and smart environments.

The main questions addressed in this report are:

  • What are the drivers for a sixth-generation wireless system?
  • What is required for 6G?
  • Who is backing 6G?
  • What are the expected 6G use cases?
  • Presentation of 6G enablers -key technologies
  • Expected 6G roadmap
  • Conclusion -Comparing 5G and 6G characteristics

Expected requirements

Table of Contents

Table of Contents

Edge Computing

1. Executive Summary

2. Introduction

  • 2.1. Edge computing context
  • 2.2. Clarification of edge computing definition
  • 2.3. Edge computing scope
  • 2.4. Edge computing location

3. Expected benefits

  • 3.1. Edge computing technical benefits
  • 3.2. Assessment of edge computing capabilities' priorities
  • 3.3. Potential use cases

4. Benchmark

  • 4.1. Number of implementations of edge computing and major verticals in the benchmark
  • 4.2. Focus on the three major verticals
  • 4.3. Major use cases in the benchmark
  • 4.4. Initiative stage of edge computing development
  • 4.5. Countries with implementation of edge computing in the benchmark

5. Use cases

  • 5.1. Video surveillance
  • 5.2. Smart factory
  • 5.3. V2X communications
  • 5.4. Mobile video distribution (events)

6. Ecosystem

  • 6.1. Edge computing value chain : players from telecoms, IT and cloud industries
  • 6.2. Network equipment providers
    • 6.2.1. Player profile: Ericsson
    • 6.2.2. Player profile: Nokia
  • 6.3. IT hardware providers
    • 6.3.1. Player profile: Dell
    • 6.3.2. Player profile: Vapor IO
  • 6.4. Industrial solution providers
    • 6.4.1. Player profile: ABB
    • 6.4.2. Player profile: ADLINK Technology
    • 6.4.3. Player profile: Rittal
  • 6.5. Cloud providers / Hyperscalers
    • 6.5.1. Player profile: Microsoft
    • 6.5.2. Player profile: AWS
  • 6.6. Telcos
    • 6.6.1. Telcos' approaches with edge computing
    • 6.7.2. Player profile: CenturyLink

7. Market trends

  • 7.1. Drivers and barriers of edge computing market development
  • 7.2. Global trends for edge computing
  • 7.3. Addressable markets and target revenues of edge computing
  • 7.4. Edge computing market, breakdown per region
  • 7.5. Edge computing market, breakdown per stakeholder

Blockchain in Media

1. Executive Summary

2. Blockchain Overview - -A new infrastructure to share information

  • 2.1. Blockchain definitions
  • 2.2. Blockchain value proposition
  • 2.3. Blockchain key concepts
  • 2.4. Blockchain offerings
  • 2.5. Blockchain limitations

3. Media use cases - Blockchain applications in the Media Industry

  • 3.1. Blockchain in video
  • 3.2. Blockchain in music
  • 3.3. Blockchain in video gaming

4. Market Vision and Prospects - -A technology impacting the whole media value chain

  • 4.1. How can blockchain transform the media industries
  • 4.2. Blockchain and Media
  • 4.3. Blockchain and Media production
  • 4.4. Blockchain and aggregation/distribution
  • 4.5. Blockchain and consumption & revenues
  • 4.6. Market development factors
    • 4.6.1. Main Drivers for blockchain in media
    • 4.6.2. Main Barriers for blockchain in media
  • 4.7. Market forecasts
    • 4.7.1. Addressable market for blockchain in media
    • 4.7.2. Worldwide blockchain market by revenue segments
    • 4.7.3. Worldwide blockchain market by media industry

National AI Strategies

  • 1. Executive Summary
  • 2. European Commission
  • 3. United Kingdom
  • 4. Germany
  • 5. France
  • 6. Italy
  • 7. Spain
  • 8. China
  • 9. United States of America
  • 10. Japan
  • 11. About IDATE DigiWorld

6G: So, what happens in 2030? Will 6G actually be needed

1. ExecutiveSummary

2. Why a sixth generation?

  • 2.1. Drivers
  • 2.2. Expectedrequirements
  • 2.3. Enablersto meetthe new requirements
  • 2.4. Backers
  • 2.5. Expectedchanges in the ecosystem

3. 6G use cases

4. Key Technologies

  • 4.1. 6G Spectrum
  • 4.2. 6G enablers
  • 4.3. Artificial Intelligence (AI) and machine learning

5. Roadmap & conclusion

  • 5.1. Roadmap: 6G networks in 2030
  • 5.2. Conclusion: Comparing 5G & 6G characteristics

About IDATE DigiWorld

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