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INFORMATION & COMMUNICATION TECHNOLOGY

Global Blockchain IoT Market - Industry Trends and Forecast to 2032

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​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
The global Blockchain IoT market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.

Blockchain is a decentralized digital ledger technology that enables secure and transparent peer-to-peer transactions across a network of computers (nodes). It operates on a distributed ledger that records transactions in a secure and immutable manner. 

IoT, or the Internet of Things, refers to a network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices communicate with each other and with centralized systems to perform various tasks and automate processes.

The global Blockchain IoT (Internet of Things) market represents the convergence of blockchain technology with IoT applications across various industries. This integration aims to address key challenges such as data security, interoperability, and transparency in IoT ecosystems.

The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
  • Increased demand for transparency and traceability
  • Rising adoption of IoT devices across industries
RESTRAINTS
  • Integration complexity
  • High energy consumption
OPPORTUNITIES
  • Provenance tracking
  • Smart contracts and automation
CHALLENGES
  • 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
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
  • 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

The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.

Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.

The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.

Below mention are few of the sources which we have considered while estimating the market size:
For instance,
  • Research articles published on Technium
  • Science and MDPI
  • Research publications by government approved associations and societies

Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
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
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.

Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.

We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
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.

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