INFORMATION & COMMUNICATION TECHNOLOGY
Global Blockchain IoT Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Blockchain IoT Market, By Component (Hardware, Software and Platform, and Services), Application (Data Security, Smart Contracts, Asset Tracking & Management, and Others), Organization Size (SMEs and Large Enterprises), Vertical (Transportation & Logistics, Manufacturing, Healthcare, Retail, Consumer Electronics, Smart City, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Increased demand for transparency and traceability
- Rising adoption of IoT devices across industries
- Integration complexity
- High energy consumption
- Provenance tracking
- Smart contracts and automation
- Data privacy and security concerns
- Scalability and performance
SEGMENTATION
- Component
- Hardware
- IoT Sensors
- Motion Sensors
- GPS
- Temperature Sensors
- Vehicle Information
- Connected Devices
- Crypto-Wallets
- Software and Platform
- Services
- Technology Advisory and Consulting Services
- Deployment and Integration Services
- Support and Maintenance
- Application
- Data Security
- Smart Contracts
- Asset Tracking & Management
- Others
- Organization Size
- SMEs
- Large Enterprises
- Vertical
- Transportation & Logistics
- Manufacturing
- Healthcare
- Retail
- Consumer Electronics
- Smart City
- Others
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Intel Corporation
- IBM Corporation
- Microsoft Corporation
- Cisco Systems, Inc.
- The Linux Foundation
- Amazon.com, Inc.
- KrypC Technologies
- IoTex
- ArcTouch LLC
- R3 LLC
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Blockchain IoT Market, by Component
- 3.2 Global Blockchain IoT Market, by Application
- 3.3 Global Blockchain IoT Market, by Organization Size
- 3.4 Global Blockchain IoT Market, by Vertical
- 3.5 Global Blockchain IoT Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Emergence of hybrid blockchain solutions
- 5.1.2 Focus on scalability solutions
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increased demand for transparency and traceability
- 5.2.2 Rising adoption of IoT devices across industries
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Integration complexity
- 5.3.2 High energy consumption
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Provenance tracking
- 5.4.2 Smart contracts and automation
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Data privacy and security concerns
- 5.5.2 Scalability and performance
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL BLOCKCHAIN IOT MARKET, BY COMPONENT
- 6.1 Component Summary
- 6.2 Market Attractive Index
- 6.3 Global Blockchain IoT Market, by Component (2019-2032)
- SECTION 7 - GLOBAL BLOCKCHAIN IOT MARKET, BY APPLICATION
- 7.1 Application Summary
- 7.2 Market Attractive Index
- 7.3 Global Blockchain IoT Market, by Application (2019-2032)
- SECTION 8 - GLOBAL BLOCKCHAIN IOT MARKET, BY ORGANIZATION SIZE
- 8.1 Organization Size Summary
- 8.2 Market Attractive Index
- 8.3 Global Blockchain IoT Market, by Organization Size (2019-2032)
- SECTION 9 - GLOBAL BLOCKCHAIN IOT MARKET, BY VERTICAL
- 9.1 Vertical Summary
- 9.2 Market Attractive Index
- 9.3 Global Blockchain IoT Market, by Vertical (2019-2032)
- SECTION 10 - GLOBAL BLOCKCHAIN IOT MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Blockchain IoT Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA BLOCKCHAIN IOT MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Blockchain IoT Market, by Component (2019-2032)
- 11.4 North America Blockchain IoT Market, by Application (2019-2032)
- 11.5 North America Blockchain IoT Market, by Organization Size (2019-2032)
- 11.6 North America Blockchain IoT Market, by Vertical (2019-2032)
- 11.7 North America Blockchain IoT Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE BLOCKCHAIN IOT MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Blockchain IoT Market, by Component (2019-2032)
- 12.4 Europe Blockchain IoT Market, by Application (2019-2032)
- 12.5 Europe Blockchain IoT Market, by Organization Size (2019-2032)
- 12.6 Europe Blockchain IoT Market, by Vertical (2019-2032)
- 12.7 Europe Blockchain IoT Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC BLOCKCHAIN IOT MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Blockchain IoT Market, by Component (2019-2032)
- 13.4 Asia-Pacific Blockchain IoT Market, by Application (2019-2032)
- 13.5 Asia-Pacific Blockchain IoT Market, by Organization Size (2019-2032)
- 13.6 Asia-Pacific Blockchain IoT Market, by Vertical (2019-2032)
- 13.7 Asia-Pacific Blockchain IoT Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA BLOCKCHAIN IOT MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Blockchain IoT Market, by Component (2019-2032)
- 14.4 South America Blockchain IoT Market, by Application (2019-2032)
- 14.5 South America Blockchain IoT Market, by Organization Size (2019-2032)
- 14.6 South America Blockchain IoT Market, by Vertical (2019-2032)
- 14.7 South America Blockchain IoT Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA BLOCKCHAIN IOT MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Blockchain IoT Market, by Component (2019-2032)
- 15.4 Middle East and Africa Blockchain IoT Market, by Application (2019-2032)
- 15.5 Middle East and Africa Blockchain IoT Market, by Organization Size (2019-2032)
- 15.6 Middle East and Africa Blockchain IoT Market, by Vertical (2019-2032)
- 15.7 Middle East and Africa Blockchain IoT Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Blockchain IoT Market, Company Share Analysis
- 16.2 North America Blockchain IoT Market, Company Share Analysis
- 16.3 Europe Blockchain IoT Market, Company Share Analysis
- 16.4 Asia-Pacific Blockchain IoT Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 Intel Corporation
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 IBM Corporation
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Microsoft Corporation
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Cisco Systems, Inc.
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 The Linux Foundation
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 Amazon.com, Inc.
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 KrypC Technologies
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 IoTex
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 ArcTouch LLC
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 R3 LLC
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.