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Blockchain in Industrial Applications

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Actionable Benefits

  • Determine business use cases for industrial blockchain and DLT.
  • Understand industrial blockchain deployment models, and their relative strengths and weaknesses.
  • Identify revenue opportunities for industrial blockchain technologies and services.

Critical Questions Answered

  • What is the maturity of industrial blockchain platforms in terms of past revenue performance?
  • Which industrial end markets are the most promising in the next 5 years in terms of growth rate?
  • Which regions are seeing the strongest dynamics in terms of revenue generation?

Research Highlights

  • Industrial blockchain revenue market forecast: Agriculture, Forestry & Fishing; Food & Beverage; Manufacturing; Retail & Consumer; Transport & Storage; Utilities.
  • End markets and use cases: pilots, PoCs, live deployments and commercial launches.
  • Top vendors and innovative startups focusing on industrial blockchain applications.

Who Should Read This?

  • Digital transformation strategists focused on supply chain, logistics, transport, manufacturing and Industry 4.0 applications.
  • Industrial startups looking to integrate their offerings / partner with large cloud-based BaaS providers.
  • Blockchain-as-a-service Providers to understand the industrial markets’ growth.
  • Vendors looking to convince their clients on the capabilities of their industrial blockchain solution.

Table of Contents

1. EXECUTIVE SUMMARY

2. BLOCKCHAIN RECAP

2.1. A Tumultuous Market
2.2. An Industrial Success Story
2.3. Tackling issues
2.4. Key Applications

3. INDUSTRIAL END MARKETS AND USE CASES

3.1. The Agri-Food Industry
3.2. Transport and Storage
3.3. Retail and Consumer
3.4. Manufacturing Solutions
3.5. Utilities
3.6. Ledger Type and Regional Dynamics
3.7. Methodology

4. VENDOR ECOSYSTEM

4.1. Alibaba
4.2. Amazon
4.3. Blockfreight
4.4. Data Gumbo
4.5. Everledger
4.6. IBM
4.7. IOTA Foundation
4.8. Microsoft
4.9. Oracle
4.10. OriginTrail
4.11. RoadLaunch
4.12. SAP
4.13. Skuchain
4.14. SyncFab
4.15. T-Mining
4.16. Xage

5. CONCLUSIONS AND KEY RECOMMENDATIONS

6. RELATED RESEARCH