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土地登記・資産追跡 (アセットトラッキング) におけるブロックチェーン:市場機会・課題・市場予測 (2019-2030年)

Blockchain for Land Registry & Asset Tracking: Opportunities, Challenges & Forecasts 2019-2030

発行 Juniper Research 商品コード 814907
出版日 ページ情報 英文
納期: 即日から翌営業日
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土地登記・資産追跡 (アセットトラッキング) におけるブロックチェーン:市場機会・課題・市場予測 (2019-2030年) Blockchain for Land Registry & Asset Tracking: Opportunities, Challenges & Forecasts 2019-2030
出版日: 2019年03月26日 ページ情報: 英文
概要

当レポートでは、ブロックチェーンの土地登記および資産追跡 (アセットトラッキング) 部門への影響を調査し、土地登記・資産追跡におけるブロックチェーンの影響・メリット、参入企業の分析・市場における位置付け、ケーススタディ、主要ベンダーのプロファイル、ブロックチェーンの導入によるコスト削減予測などをまとめています。

第1章 主な要点・提言

第2章 土地登記

  • イントロダクション
  • 主なメリット
    • アナログシステムへの依存低減
    • 不可侵記録の提供と不正防止
      • ケーススタディ:Lantmateriat
  • 土地登記におけるブロックチェーン
    • VC投資
    • ICOの台頭
    • 世界のテストベッド&ベンダー
      • ケーススタディ:HM Land Registry & Digital Street
  • ブロックチェーンと将来の土地登記
    • ブロックチェーンへの関心の拡大
    • 時間を要する官僚制
    • データの課題
    • ブロックチェーン技術とデジタル化
    • 雇用喪失
    • 高いプライスタグ

第3章 資産追跡 (アセットトラッキング)

  • イントロダクション
  • ブロックチェーンで追跡される資産の例
    • ダイアモンド
    • 食品原産地
      • ケーススタディ:Provenance
    • 自動車
    • コンテンツ管理
    • ユーティリティ
      • マイクログリッド
      • エネルギー取引
    • ヘルスケア
    • ブロックチェーン&サプライチェーン管理におけるIoT
    • 資産追跡プロセスの影響分析
  • 資産追跡におけるブロックチェーンの将来性
    • 将来のロードマップ
    • 制約・課題
    • 資産のトークナイゼーション

第4章 競合環境・イノベーションインデックス・リーダーボード

  • Juniperのブロックチェーンイノベーションインデックス
  • Juniperリーダーボード
  • ブロックチェーン産業に影響力を持つ企業
  • ベンダープロファイル
    • Accenture
    • Applied Blockchain
    • Bitfury
    • ChromaWay
    • Deloitte
    • Digital Asset
    • Factom
    • Guardtime
    • IBM
    • Infosys Finacle (EdgeVerve Systems)
    • Microsoft
    • NEM
    • Oracle
    • R3
    • SAP

第5章 市場予測

  • 土地登記用ブロックチェーン
    • イントロダクション
    • コスト削減予測:法的費用・登録料
    • ブロックチェーン支出予測:国別
  • 資産追跡用ブロックチェーン
    • 文書コンプライアンス予測
    • 不正低減予測:Food Provenance
    • 食品廃棄・病気:コスト削減
    • プラットフォーム収益の予測
目次

Overview

Juniper's new and expansive ‘Blockchain’ research discusses the disruptive potential of this far-reaching technology on every arena of society. In particular, the research analyses the opportunities and future of the technology providing a comprehensive analysis of the sector in 2 key areas:

  • Land Registry
  • Asset Tracking

Readers will be presented with an extensive view of technological and business developments in the blockchain space for land registry and asset tracking, along with in-depth forecasts across a variety of metrics. The report also examines strategies used by key players in these areas and assesses their prospects in both sectors.

This research suite comprises:

  • Market Trends & Opportunities (PDF)
  • Up to 12-Year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 Months' Access to harvest Online Data Platform

Key Features

  • Technological Evaluation: Assessment of the current state of blockchain for land registry and asset tracking processes; detailing trends and prospects for the future development of both sectors.
  • Market Vertical Analysis: Strategic evaluation of established and emerging market verticals in the blockchain space, and what this means for the future shape of the sector.
  • Juniper Leaderboard: Positioning and strategic evaluation of 15 key players in the blockchain market including:
    • Accenture
    • Applied Blockchain
    • Bitfury
    • ChromaWay
    • Deloitte
    • Digital Asset
    • Factom
    • Guardtime
    • IBM
    • Infosys Finacle
    • Microsoft
    • NEM
    • Oracle
    • R3
    • SAP
  • Juniper Innovation Index: Positioning & strategic evaluation of 17 key players in the blockchain market including:
    • Applied Blockchain
    • BitFury
    • BlockVerify
    • ChromaWay
    • Digital Asset
    • Gemalto
    • IBM
    • KPMG
    • NEM
    • Oracle
    • Propy
    • Provenance
    • Publica
    • PwC
    • R3
    • SAP
    • Ubitquity
  • Benchmark Industry Forecasts: Market segment forecasts for blockchain technology platform spend and cost savings, split by:
    • Land registry
    • Asset tracking

Key Questions

  • 1. What impact will blockchain have in the land registry and asset tracking sectors?
  • 2. Who are the main blockchain players and how do they position themselves in the market?
  • 3. What revenues will blockchain technology vendors generate from asset tracking throughout the forecast period?
  • 4. How much are countries investing in blockchain for land registry throughout the forecast period?
  • 5. What savings will blockchain enable in the land registry and asset tracking sectors throughout the forecast period?

Companies Referenced

  • Case Studied: HM Land Registry, Lantmäteriet, Provenance
  • Included in Innovation Index: Applied Blockchain, BitFury, BlockVerify, ChromaWay, Digital Asset, Gemalto, IBM, KPMG, NEM, Oracle, Propy, Provenance, Publica, PwC, R3, SAP, Ubitquity.
  • Included in Juniper Leaderboard: Accenture, Applied Blockchain, Bitfury, ChromaWay, Deloitte, Digital Asset, Factom, Guardtime, IBM, Infosys Finacle, Microsoft, NEM, Oracle, R3, SAP.
  • Mentioned: 2 Sisters Food Group, Aion Networks, Aldi, Alibaba, Amazon, Ambrosus, Apis Capital Management, ASCAP (American Society for Composers, Authors and Publishers), Atlantis Group, Bank of Montreal, Barclays, Beth Israel Deaconess Medical Center, Blockchain in Transport Alliance, Blockchain Learning Group, Blockscale Solutions, BMW, Bosch, BP, Broadridge, Bureau of Survey and Mapping, CaixaBank, Cambridge Innovation Center, Cargo Community Network, Carrefour, Cartório de Registro de Imóveis (Real Estate Registry Office), Central Reserve, Centre for Counter Fraud Studies, ColliderX, Comigel, Commerzbank, Commons Foundation, Consesys, Co-operative Group, Daimler, Department of Health and Human Services, Deutsche Bank, Dole, Driscoll's, DTRules, EDF Luminus, EDRID (United Depository of Intellectual Property Products), Elevence, Emirates NBD, Enel SpA, Eni Trading & Shipping, Enterprise Ethereum Alliance, Erste Group, Everledger, Farmdrop, Findus, Food and Agriculture Organisation, Ford, Freepoint, FSA (Food Safety Authority), Gazprom Marketing & Trading, Gem, General Motors, Georgian National Agency of Public Registry, GIA (Gemological Institute of America), Golden State Foods, Green Assets Wallets, Hashed Health, HS Property Group, HSBC, Hyperledger, Iberdrola, ICAP, ICICI, III (Insurers' Information Institute), Intel, Interbit, JD.com, JP Morgan, Kairos Future, Kaiser Permanente, KBC, Kellogg, Kimberly-Clark, KlickEx Group, KLM, Kroger, Landshypotek Bank, Law Commission for England and Wales, LO3 Energy, Maersk, MBA (Mortgage Brokers' Association), McCormick and Company, McLane Company, MDW (Medical Diagnostic Web), Mediaocean, Mercuria, Metaco, Methods, MIT Media Lab, MOBI (Mobility Open Blockchain Initiative), Modum, Morgan James Publishing, MUSO, Natais, National Council of Clerks and Commercial Courts, National Food Crime Unit, Natixis, Nestlé, NHS (National Health Service), NIAP (National Information Assurance Partnership), Nuggets, Oaken, Ordnance Survey, Overstock, Petroineos, Pfizer, PKF Littlejohn, PokitDok, Ponton, Porsche, Prebon Yamane, Primrose's Kitchen, PRS for Music, Rabobank, Rakuten, Renault, Resonate, RWE AG, SACEM (Society of Authors, Composers and Publishers of Music), SBAB Bank, Shell, Siemens, SITA, Societe Generale, Soil Association, Starbucks, Stellar, STMS, Tata Consultancy Services, Telia, Tesco, Texas Bitcoin Conference, The Linux Foundation, The People's Supermarket, Tideford Organic, Total, Toyota, Tsinghua University, Tyson Foods, UBS, UN, Unicredit, Unilever, Vattenfall, Vodii, Walmart, WHO (World Health Organisation), Wien Energy, World Bank, XAIN, Yamada Denki, ZF.

Data & Interactive Forecast

The ‘Blockchain’ forecast suite includes:

  • Market data splits for 8 key regions and country level forecasts for:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Segment splits by:
    • Land registry (savings and platform revenues forecasts)
    • Asset tracking (documentary compliance forecast, fraud reduction forecast and country spending forecasts)
  • What-If Analysis tool allowing user the ability to manipulate Juniper's data for 3 different metrics.
  • Access to the full set of forecast data of more than 32 tables and over 4,000 datapoints.

Juniper Research's highly granular Interactive Excels (IFxls) enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Key Takeaways & Recommendations

  • 1.1. Introduction
  • 1.2. Key Takeaways & Recommendations

2. Land Registry

  • 2.1. Introduction
  • 2.2. Key Benefits
    • 2.2.1. Reduced Dependence on Analog Systems
    • 2.2.2. Provision of an Inviolable Record & Reduced Fraud
    • 2.2.3. First Time Inclusion
      • Case Study: Lantmäteriat
  • 2.3. Blockchain in Land Registry
    • 2.3.1. VC Investment
      • Figure 2.1: Top 50 VCs Total Blockchain Investments by Year, ($m), 2011-2018
    • 2.3.2. The Rise of The ICO
      • Figure 2.2: Number of ICOs Launched, 2017-2018
      • Figure 2.3: Blockchain Company Cumulative Funding, ICO vs VC, ($ billion) 2017-2018
    • 2.3.3. Global Testbeds & Vendors
      • Figure 2.4: Countries Involved in Blockchain Land Registry Processes, 2019
      • Case Study: HM Land Registry & Digital Street
  • 2.4. Is Blockchain the Future of Land Registry?
    • 2.4.1. An Increased Interest in Blockchain
      • Figure 2.5: Government Representatives' Views on Blockchain, IBM Survey Findings 2017
    • 2.4.2. Slow Bureaucracy
      • Figure 2.6: Current Project Status of Smart Contracts, UK Law Commission, 2018
    • 2.4.3. Data Issues
    • 2.4.4. Digital Rather than Blockchain Technology
    • 2.4.5. Job Destruction
    • 2.4.6. High Price Tag

3. Asset Tracking

  • 3.1. Introduction
    • Figure 3.1: Advantages of Blockchain for Asset Tracking
  • 3.2. Examples of Assets Tracked on Blockchain
    • 3.2.1. Diamonds
      • Figure 3.2: Diamond Industry Snapshot
    • 3.2.2. Food Provenance
      • Figure 3.3: Food Production: Ethics, Illness & Wastage
      • Case Study: Provenance
        • Figure 3.4: Provenance Ecosystem
    • 3.2.3. Automotive
      • Figure 3.5: Timeline of Toyota's Blockchain Involvement, 2016-
    • 3.2.4. Content Management
    • 3.2.5. Utilities
      • i. Microgrids
      • ii. Energy Trading
        • Figure 3.6: Timeline of Wien Energy's Blockchain Involvement
    • 3.2.6. Healthcare
    • 3.2.7. Blockchain & IoT in Supply Chain Management
      • Figure 3.7: Advantages of Using Blockchain in IoT Environments
    • 3.2.8. Asset Tracking Processes Impact Analysis
      • Tables 3.8 & 3.9: Traditional & Blockchain-powered Asset Tracking Processes Assessment Factors & Impact Analysis Heatmap
  • 3.3. The Future of Blockchain in Asset Tracking
    • 3.3.1. A Roadmap for the Future
      • Figure 3.10: Juniper Roadmap for Blockchain Adoption in Asset Tracking Processes
    • 3.3.2. Limitations & Challenges
    • 3.3.3. The Tokenisation of Assets
      • Figure 3.11: Tokenisation of Assets Process, Simplified Version

4. Competitive Landscape, Innovation Index & Leaderboard

  • 4.1. Juniper Blockchain Innovation Index
    • 4.1.1. Criteria for Innovation Index & Limitations
    • 4.1.2. Conclusions
  • 4.2. Juniper Leaderboard
    • 4.2.1. Vendor Assessment Criteria & Limitations
      • i. Vendor Assessment Criteria
        • Table 4.4: Blockchain Vendor Capability Assessment Factors
      • ii. Limitations & Interpretation
      • iii. Findings
        • Table 4.5: Juniper Blockchain Leaderboard Scoring Heatmap
        • Figure 4.6: Juniper Blockchain Leaderboard 2019
    • 4.2.2 Conclusions
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
  • 4.3. Blockchain Industry Movers & Shakers 2019
  • 4.4. Vendor Profiles
    • 4.4.1. Accenture
    • 4.4.2. Applied Blockchain
    • 4.4.3. Bitfury
    • 4.4.4. ChromaWay
    • 4.4.5. Deloitte
    • 4.4.6. Digital Asset
    • 4.4.7. Factom
    • 4.4.8. Guardtime
    • 4.4.9. IBM
    • 4.4.10. Infosys Finacle (EdgeVerve Systems)
    • 4.4.11. Microsoft
    • 4.4.12. NEM
    • 4.4.13. Oracle
    • 4.4.14. R3
    • 4.4.15. SAP

5. Blockchain Land Registry & Asset Tracking Market Forecasts

  • 5.1. Land Registry Forecasts
    • 5.1.1. Introduction
    • 5.1.2. Savings Forecast: Reduction in Legal Fees & Registration Costs
      • i. Methodology
        • Figure 5.1: Percentage of Property Sale Price Accounted for by Registration & Legal Fees (%), 2018, Split by 8 Key Regions
        • Figure 5.2: Proportion of Property Transactions Recorded on Blockchain (%), 2021-2030
        • Figure 5.3: Average Savings Realised per Property Registered on Blockchain ($) 2026-2030
        • Figure 5.4: Methodology for Blockchain Consumer Land Registry Savings
      • ii. Consumer Savings Forecast
        • Figure & Table 5.5: Total Consumer Savings Realised per annum via Blockchain Land Registry Deployments ($m), 2025-2030
      • iii. Smart Contracts: Additional Savings
    • 5.1.3. Blockchain Country Spending Forecast
      • i. Methodology
        • Figure 5.6: Methodology for Blockchain Country Spending
      • iii. Blockchain Country Spending Forecast
        • Figure & Table 5.7: Countries Spending per annum for Blockchain Land Registry Deployments ($m), Split by 8 Key Regions, 2018-2023
  • 5.2. Asset Tracking Forecasts
    • 5.2.1. Documentary Compliance Forecast
      • i. Methodology: Introduction & Assumptions
        • Figure 5.8: Leading Exporters of Food/Agricultural Products, ($bn) 2018
        • Figure 5.9: Documentary Compliance Cost per Container, Selected Markets, ($) 2018
        • Figure 5.10: Documentary Compliance Costs as Proportion of Food Export Value, (%) By Region, 2018
      • ii. Savings Forecast: How Much Can Blockchain Reduce Compliance Costs?
        • Figure 5.11: Proportion of Food Exports Tracked on Blockchain, (%) 2021-2030
        • Figure 5.12: Methodology for Blockchain Food Export Compliance & Fraud Savings
      • iii. Value of Food Exports Tracked via Blockchain Forecast
        • Figure & Table 5.13: Value of Food Exports Tracked via Blockchain ($m), Split by 8 Key Regions, 2021-2030
      • iv. Food Documentation Compliance Cost Savings Forecast
        • Figure & Table 5.14: Reduction in Food Documentation Compliance Costs Achievable via Blockchain Per Annum ($m), 2021-2030
    • 5.2.2. Fraud Reduction Forecasts: Food Provenance
      • i. Methodology: Savings from Fraud Reduction
        • Figure 5.15: Global Food Export Fraud, Percentage by Region, 2018 ($51.5 billion)
      • ii. Fraud Reduction Forecast
        • Figure & Table 5.16: Food Exports, Annual Fraud Reduction via Blockchain ($m) 2021-2030
    • 5.2.3. Wastage & Illness: Additional Savings
    • 5.2.4. Platform Revenues Forecasts
      • i. Methodology
        • Figure 5.17: Methodology for Blockchain Platform Revenues
      • ii. Platform Revenues Forecasts
        • Figure & Table 5.18: Total Platform Revenues per annum for Asset Tracking Deployments ($m), Split by 8 Key Regions, 2018-2023
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