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Global Hyperconnectivity Market to reach USD 1256.41 billion by the end of 2029

Global Hyperconnectivity Market Size study & Forecast, by Component (Solutions and Services), by Product (Enterprise Wearable Devices, Middleware Software, Cloud Platforms, and Business Solutions), by Organization Size (Small-& Medium-sized Enterprises and Large Enterprises), by End Use Industry (BFSI, Healthcare & Life Sciences, Telecommunications & IT, Government & Public Sector, Manufacturing, Consumer Goods & Retail, Media & Entertainment) and Regional Analysis, 2022-2029

Product Code: ICTNGT-31968195
Publish Date: 29-01-2023
Page: 200

Global Hyperconnectivity Market is valued at approximately USD 310.9 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 22.08% over the forecast period 2022-2029. Hyperconnectivity can be defined as the use of various systems and devices to remain connected to social networks and other digital sources of information. Hyperconnectivity is an interaction between information systems, data, and devices, which are connected to each other through the internet. The increasing adoption of IoT technologies and growing penetration of smartphones as well as strategic initiatives from leading market players are key factors accelerating the market growth.

The increasing adoption of Internet of Things (IoT) based devices is contributing to the growth of the Global Hyperconnectivity Market. For instance, according to Statista – in 2020, the total Internet of Things (IoT) market worldwide was estimated at USD 389 billion, and the market is projected to grow to more than USD 1000 billion by 2030. Moreover, as per Statista estimates – in 2020, globally the number of Internet of Things (IoT) devices was estimated at 9.7 billion, and as per projections, this number would grow to 29 billion by 2030. Also, rising emergence of high-speed internet connectivity in developing nations coupled with increasing adoption of hyperconnectivity solutions in organizations would create a lucrative growth prospectus for the market over the forecast period. However, increasing incidences of data breaches & concerns relating to data privacy impede the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Hyperconnectivity Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the presence of leading market players and availability of required technological infrastructure in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising penetration of IoT-connected devices, coupled with growing industrialization and increasing investment in 5G technologies in the region.

Major market players included in this report are:
Avaya Holdings Corp.
Extreme Networks
Fujitsu Limited
Iberdrola SA
International Business Machines Corporation
Microsoft Corporation
Orange IT Solutions
Oracle Corporation
PathPartner Technology
Broadcom Inc.

Recent Developments in the Market:
 In June 2021, KPIT Technologies entered into a definitive agreement to acquire PathPartner Technology. PathPartner is a leading provider of operating system software and low-level software for Automotive, Camera, Radar, and Multimedia devices.

Global Hyperconnectivity Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Product, Organization Size, End-Use Industry, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component

By Product
Enterprise Wearable Devices
Middleware Software
Cloud Platforms
Business Solutions

By Organization Size
Small-& Medium-sized Enterprises
Large Enterprises

By End Use Industry
Healthcare & Life Sciences
Telecommunications & IT
Government & Public Sector
Consumer Goods & Retail
Media & Entertainment

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Hyperconnectivity Market, by Region, 2019-2029 (USD Billion)
1.2.2. Hyperconnectivity Market, by Component, 2019-2029 (USD Billion)
1.2.3. Hyperconnectivity Market, by Product, 2019-2029 (USD Billion)
1.2.4. Hyperconnectivity Market, by Organization Size, 2019-2029 (USD Billion)
1.2.5. Hyperconnectivity Market, by End-Use Industry, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Hyperconnectivity Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Hyperconnectivity Market Dynamics
3.1. Hyperconnectivity Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing adoption of IoT technologies Growing penetration of smartphones Strategic initiatives from leading market players
3.1.2. Market Challenges Data privacy & Security concerns
3.1.3. Market Opportunities Rising emergence of high-speed internet connectivity in developing nations Increasing adoption of hyperconnectivity solutions in organizations
Chapter 4. Global Hyperconnectivity Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Hyperconnectivity Market, by Component
6.1. Market Snapshot
6.2. Global Hyperconnectivity Market by Component, Performance – Potential Analysis
6.3. Global Hyperconnectivity Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Hyperconnectivity Market, Sub Segment Analysis
6.4.1. Solutions
6.4.2. Services
Chapter 7. Global Hyperconnectivity Market, by Product
7.1. Market Snapshot
7.2. Global Hyperconnectivity Market by Product, Performance – Potential Analysis
7.3. Global Hyperconnectivity Market Estimates & Forecasts by Product 2019-2029 (USD Billion)
7.4. Hyperconnectivity Market, Sub Segment Analysis
7.4.1. Enterprise Wearable Devices
7.4.2. Middleware Software
7.4.3. Cloud Platforms
7.4.4. Business Solutions
Chapter 8. Global Hyperconnectivity Market, by Organization Size
8.1. Market Snapshot
8.2. Global Hyperconnectivity Market by Organization Size, Performance – Potential Analysis
8.3. Global Hyperconnectivity Market Estimates & Forecasts by Organization Size 2019-2029 (USD Billion)
8.4. Hyperconnectivity Market, Sub Segment Analysis
8.4.1. Small-& Medium-sized Enterprises
8.4.2. Large Enterprises
Chapter 9. Global Hyperconnectivity Market, by End-Use Industry
9.1. Market Snapshot
9.2. Global Hyperconnectivity Market by End-Use Industry, Performance – Potential Analysis
9.3. Global Hyperconnectivity Market Estimates & Forecasts by End-Use Industry 2019-2029 (USD Billion)
9.4. Hyperconnectivity Market, Sub Segment Analysis
9.4.1. BFSI
9.4.2. Healthcare & Life Sciences
9.4.3. Telecommunications & IT
9.4.4. Government & Public Sector
9.4.5. Manufacturing
9.4.6. Consumer Goods & Retail
9.4.7. Media & Entertainment
Chapter 10. Global Hyperconnectivity Market, Regional Analysis
10.1. Hyperconnectivity Market, Regional Market Snapshot
10.2. North America Hyperconnectivity Market
10.2.1. U.S. Hyperconnectivity Market Component breakdown estimates & forecasts, 2019-2029 Product breakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029 End-Use Industry breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Hyperconnectivity Market
10.3. Europe Hyperconnectivity Market Snapshot
10.3.1. U.K. Hyperconnectivity Market
10.3.2. Germany Hyperconnectivity Market
10.3.3. France Hyperconnectivity Market
10.3.4. Spain Hyperconnectivity Market
10.3.5. Italy Hyperconnectivity Market
10.3.6. Rest of Europe Hyperconnectivity Market
10.4. Asia-Pacific Hyperconnectivity Market Snapshot
10.4.1. China Hyperconnectivity Market
10.4.2. India Hyperconnectivity Market
10.4.3. Japan Hyperconnectivity Market
10.4.4. Australia Hyperconnectivity Market
10.4.5. South Korea Hyperconnectivity Market
10.4.6. Rest of Asia Pacific Hyperconnectivity Market
10.5. Latin America Hyperconnectivity Market Snapshot
10.5.1. Brazil Hyperconnectivity Market
10.5.2. Mexico Hyperconnectivity Market
10.5.3. Rest of Latin America Hyperconnectivity Market
10.6. Rest of The World Hyperconnectivity Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Avaya Holdings Corp. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Extreme Networks
11.2.3. Fujitsu Limited
11.2.4. Iberdrola SA
11.2.5. International Business Machines Corporation
11.2.6. Microsoft Corporation
11.2.7. Orange IT Solutions
11.2.8. Oracle Corporation
11.2.9. PathPartner Technology
11.2.10. Broadcom Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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