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Uniprism Market Research

INFORMATION & COMMUNICATION TECHNOLOGY

Global Internet of Things (IoT) Market - Industry Trends and Forecast to 2032

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​REPORT OVERVIEW

Global Internet of Things (IoT) Market, By Component (Hardware, Software, and Services), Organization Size (Large Enterprises, and SMEs), Focus Area (Smart Manufacturing, Smart Transportation/Mobility, Smart Energy and Utilities, Smart Retail, Connected Healthcare, Smart Agriculture, Smart Buildings, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.

Market Insights
The global Internet of Things (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.

The Internet of Things (IoT) refers to the network of interconnected devices embedded with sensors, software, and other technologies to exchange data and communicate with each other over the internet. This concept extends beyond traditional computing devices like laptops and smartphones to include everyday objects such as household appliances, vehicles, wearable devices, industrial machinery, and more. The Global Internet of Things (IoT) market is expansive and encompasses a diverse ecosystem of interconnected devices, platforms, and services that leverage connectivity and data exchange to enable automation, efficiency, and new business opportunities across various applications and industries.

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
  • Proliferation of connected devices
  • Consumer demand for smart home devices
RESTRAINTS
  • Privacy issues
  • Cost of IoT implementation
OPPORTUNITIES
  • Smart cities and infrastructure
  • Remote patient monitoring
CHALLENGES
  • Sustainability and environmental impact
  • Ethical and societal implications

​SEGMENTATION

  • Component
    • Hardware
    • Software
      • Smart Surveillance
      • Data Management
      • Device Management
      • Application Management
      • Network Management
    • Services
      • Professional Services
        • Consulting
        • Implementation
        • Support and Maintenance
      • Managed Services
  • Organization Size
    • Large Enterprises
    • SMEs
  • Focus Area
    • Smart Manufacturing
      • Asset Tracking and Remote Management
      • Production Optimization
      • Workforce Management
    • Smart Transportation/Mobility
      • Traffic Management
      • Cargo Monitoring
      • Fleet Management
      • Ticketing and Toll Collection
    • Smart Energy and Utilities
      • Energy Efficiency
      • Energy Consumption
      • Energy Transmission and Distribution
    • Smart Retail
      • Geomarketing and Advertising
      • Smart Payment and Customer Experience
    • Connected Healthcare
      • Telemedicine
      • Clinical Operations and Management
      • Imaging and Diagnosis
    • Smart Agriculture
      • Fleet and Crop Monitoring
      • Weather Monitoring
    • Smart Buildings
      • Identity and Access Management
      • Smart Water Management
      • Automation and Control
    • 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

  • Siemens
  • Microsoft
  • AWS
  • Oracle
  • Cisco
  • Telit
  • HQ Software
  • Hitachi
  • Confidex
  • SAP

​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 Internet of Things (IoT) Market, by Component
  • 3.2 Global Internet of Things (IoT) Market, by Organization Size
  • 3.3 Global Internet of Things (IoT) Market, by Geography
  • 3.4 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 Edge computing adoption
  •   5.1.2 5G connectivity
  •   5.1.3 Trend 3
  • 5.2 Drivers
  •   5.2.1 Proliferation of connected devices
  •   5.2.2 Consumer demand for smart home devices
  •   5.2.3 Driver 3
  •   5.2.4 Driver 4
  • 5.3 Restraints
  •   5.3.1 Privacy issues
  •   5.3.2 Cost of IoT implementation
  •   5.3.3 Restraint 3
  • 5.4 Opportunities
  •   5.4.1 Smart cities and infrastructure
  •   5.4.2 Remote patient monitoring
  •   5.4.3 Opportunity 3
  •   5.4.4 Opportunity 4
  • 5.5 Challenges
  •   5.5.1 Sustainability and environmental impact
  •   5.5.2 Ethical and societal implications
  •   5.5.3 Challenge 3

  • SECTION 6 - GLOBAL INTERNET OF THINGS (IOT) MARKET, BY COMPONENT
  • 6.1 Component Summary
  • 6.2 Market Attractive Index
  • 6.3 Global Internet of Things (IoT) Market, by Component (2019-2032)

  • SECTION 7 - GLOBAL INTERNET OF THINGS (IOT) MARKET, BY ORGANIZATION SIZE
  • 7.1 Organization Size Summary
  • 7.2 Market Attractive Index
  • 7.3 Global Internet of Things (IoT) Market, by Organization Size (2019-2032)

  • SECTION 8 - GLOBAL INTERNET OF THINGS (IOT) MARKET, BY FOCUS AREA
  • 8.1 Focus Area Summary
  • 8.2 Market Attractive Index
  • 8.3 Global Internet of Things (IoT) Market, by Focus Area (2019-2032)

  • SECTION 9 - GLOBAL INTERNET OF THINGS (IOT) MARKET, BY GEOGRAPHY
  • 9.1 Regional Summary
  • 9.2 Market Attractive Index
  • 9.3 Global Internet of Things (IoT) Market, by Geography (2019-2032)

  • SECTION 10 - NORTH AMERICA INTERNET OF THINGS (IOT) MARKET
  • 10.1 North America Summary
  • 10.2 Market Attractive Index
  • 10.3 North America Internet of Things (IoT) Market, by Component (2019-2032)
  • 10.4 North America Internet of Things (IoT) Market, by Organization Size (2019-2032)
  • 10.5 North America Internet of Things (IoT) Market, by Focus Area (2019-2032)
  • 10.6 North America Internet of Things (IoT) Market, by Country (2019-2032)
  •   10.6.1 U.S.
  •   10.6.2 Canada
  •   10.6.3 Mexico
  •   10.6.4 Rest of North America

  • SECTION 11 - EUROPE INTERNET OF THINGS (IOT) MARKET
  • 11.1 Europe Summary
  • 11.2 Market Attractive Index
  • 11.3 Europe Internet of Things (IoT) Market, by Component (2019-2032)
  • 11.4 Europe Internet of Things (IoT) Market, by Organization Size (2019-2032)
  • 11.5 Europe Internet of Things (IoT) Market, by Focus Area (2019-2032)
  • 11.6 Europe Internet of Things (IoT) Market, by Country (2019-2032)
  •   11.6.1 Germany
  •   11.6.2 U.K.
  •   11.6.3 France
  •   11.6.4 Italy
  •   11.6.5 Spain
  •   11.6.6 Russia
  •   11.6.7 The Netherlands
  •   11.6.8 Belgium
  •   11.6.9 Turkey
  •   11.6.10 Rest of Europe

  • SECTION 12 - ASIA-PACIFIC INTERNET OF THINGS (IOT) MARKET
  • 12.1 Asia-Pacific Summary
  • 12.2 Market Attractive Index
  • 12.3 Asia-Pacific Internet of Things (IoT) Market, by Component (2019-2032)
  • 12.4 Asia-Pacific Internet of Things (IoT) Market, by Organization Size (2019-2032)
  • 12.6 Asia-Pacific Internet of Things (IoT) Market, by Country (2019-2032)
  •   12.6.1 China
  •   12.6.2 India
  •   12.6.3 Japan
  •   12.6.4 South Korea
  •   12.6.5 Singapore
  •   12.6.6 Malaysia
  •   12.6.7 Australia
  •   12.6.8 Thailand
  •   12.6.9 Philippines
  •   12.6.10 Rest of Asia-Pacific

  • SECTION 13 - SOUTH AMERICA INTERNET OF THINGS (IOT) MARKET
  • 13.1 South America Summary
  • 13.2 Market Attractive Index
  • 13.3 South America Internet of Things (IoT) Market, by Component (2019-2032)
  • 13.4 South America Internet of Things (IoT) Market, by Organization Size (2019-2032)
  • 13.5 South America Internet of Things (IoT) Market, by Focus Area (2019-2032)
  • 13.6 South America Internet of Things (IoT) Market, by Country (2019-2032)
  •   13.6.1 Brazil
  •   13.6.2 Argentina
  •   13.6.3 Chile
  •   13.6.4 Colombia
  •   13.6.5 Rest of South America

  • SECTION 14 - MIDDLE EAST AND AFRICA INTERNET OF THINGS (IOT) MARKET
  • 14.1 Middle East and Africa Summary
  • 14.2 Market Attractive Index
  • 14.3 Middle East and Africa Internet of Things (IoT) Market, by Component (2019-2032)
  • 14.4 Middle East and Africa Internet of Things (IoT) Market, by Organization Size (2019-2032)
  • 14.5 Middle East and Africa Internet of Things (IoT) Market, by Focus Area (2019-2032)
  • 14.6 Middle East and Africa Internet of Things (IoT) Market, by Country (2019-2032)
  •   14.6.1 Kingdom of Saudi Arabia
  •   14.6.2 South Africa
  •   14.6.3 U.A.E.
  •   14.6.4 Egypt
  •   14.6.5 Rest of Middle East and Africa

  • SECTION 15 - COMPANY SHARE ANALYSIS
  • 15.1 Global Internet of Things (IoT) Market, Company Share Analysis
  • 15.2 North America Internet of Things (IoT) Market, Company Share Analysis
  • 15.3 Europe Internet of Things (IoT) Market, Company Share Analysis
  • 15.4 Asia-Pacific Internet of Things (IoT) Market, Company Share Analysis

  • SECTION 16 - COMPANY PROFILES
  • 16.1 Siemens
  •   16.1.1 Company Snapshot
  •   16.1.2 Financial Overview
  •   16.1.3 Product Portfolio
  •   16.1.4 Recent Developments
  • 16.2 Microsoft
  •   16.2.1 Company Snapshot
  •   16.2.2 Financial Overview
  •   16.2.3 Product Portfolio
  •   16.2.4 Recent Developments
  • 16.3 AWS
  •   16.3.1 Company Snapshot
  •   16.3.2 Financial Overview
  •   16.3.3 Product Portfolio
  •   16.3.4 Recent Developments
  • 16.4 Oracle
  •   16.4.1 Company Snapshot
  •   16.4.2 Financial Overview
  •   16.4.3 Product Portfolio
  •   16.4.4 Recent Developments
  • 16.5 Cisco
  •   16.5.1 Company Snapshot
  •   16.5.2 Financial Overview
  •   16.5.3 Product Portfolio
  •   16.5.4 Recent Developments
  • 16.6 Telit
  •   16.6.1 Company Snapshot
  •   16.6.2 Financial Overview
  •   16.6.3 Product Portfolio
  •   16.6.4 Recent Developments
  • 16.7 HQ Software
  •   16.7.1 Company Snapshot
  •   16.7.2 Financial Overview
  •   16.7.3 Product Portfolio
  •   16.7.4 Recent Developments
  • 16.8 Hitachi
  •   16.8.1 Company Snapshot
  •   16.8.2 Financial Overview
  •   16.8.3 Product Portfolio
  •   16.8.4 Recent Developments
  • 16.9 Confidex
  •   16.9.1 Company Snapshot
  •   16.9.2 Financial Overview
  •   16.9.3 Product Portfolio
  •   16.9.4 Recent Developments
  • 16.10 SAP
  •   16.10.1 Company Snapshot
  •   16.10.2 Financial Overview
  •   16.10.3 Product Portfolio
  •   16.10.4 Recent Developments

  • SECTION 17 - RELATED REPORTS

  • SECTION 18 - 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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