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Global Next Generation Computing Market to reach USD 389.47 billion by the end of 2029.

Global Next Generation Computing Market Size study & Forecast, by Component (Hardware, Software, Services) by Type (High-Performance Computing, Quantum Computing, Cloud Computing, Edge Computing, Others), by Deployment (Cloud, On-premise), by End-User (BFSI, IT & Telecom, Aerospace & Defense, Media & Entertainment, Manufacturing, Others), and Regional Analysis, 2022-2029

Product Code: ICTNGT-21477671
Publish Date: 25-01-2023
Page: 200

Global Next Generation Computing Market is valued at approximately USD 96.2 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 19.1% over the forecast period 2022-2029. Next generation computing technology is fundamentally different in comparison to conventional and supercomputers. This technology is also known as high-performance computing and utilizes technologies based on quantum phenomena. It processes data using quantum bits, which is different from conventional computers. The growing need for on-premises next generation computing for businesses, growth in advancements in quantum computing technology and an increase in number of gaming industries implementing next-gen computing applications is expected to create lucrative opportunities in the market globally.

The increasing demand for quantum computing technology is a key driving factor for the global market growth. According to Statista, in 2020, the quantum computing market was estimated to worth around USD 410 million, which is projected to grow and likely to reach USD 8,600 million by 2027. Therefore, the adoption of quantum computing technology is likely to expand, which is further boosting the market demand in the global market. Furthermore, rising adoption of technologies such as AI, ML, and 5G, as well as increasing Research and Development (R&D) activities in technology companies are presenting various growth prospects to the market over the forecasting years. However, dearth of skilled workforce and high operational challenges and issues regarding stability and error correction stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Next Generation Computing Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the growing R&D expenditure, increasing investment in technological developments, and presence of key market players. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as growing investments in next-generation computing technologies, as well as the rising need to process and manage large data volumes in the regional market.

Major market players included in this report are:
IBM Corporation
Amazon Web Services, Inc.
Intel Corporation
Atos SE
Hewlett Packard Enterprise Development LP
NVIDIA Corporation
Cisco Systems Inc.
Advanced Micro Devices, Inc

Recent Developments in the Market:
 In November 2021, IBM unveiled the introduction of Eagle- a 127-quantum bit processor. The processor is a specially designed to tap into the computational potential of devices using quantum physics. The primary objective of this initiative is to solve problems at new complexity levels.

Global Next Generation Computing 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, Type, Deployment, End-User, 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 Type:
High-Performance Computing
Quantum Computing
Cloud Computing
Edge Computing
By Deployment:
By End-User:
IT & Telecom
Aerospace & Defense
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. Next Generation Computing Market, by Region, 2019-2029 (USD Billion)
1.2.2. Next Generation Computing Market, by Component, 2019-2029 (USD Billion)
1.2.3. Next Generation Computing Market, by Type, 2019-2029 (USD Billion)
1.2.4. Next Generation Computing Market, by Deployment, 2019-2029 (USD Billion)
1.2.5. Next Generation Computing Market, by End-User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Next Generation Computing 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 Next Generation Computing Market Dynamics
3.1. Next Generation Computing Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing demand for the quantum computing technology Growing need for on-premises next generation computing for businesses
3.1.2. Market Challenges Dearth of skilled workforce High operational challenges and issues regarding stability and error correction
3.1.3. Market Opportunities Rising adoption of technologies such as AI, ML, and 5G Increasing Research and Development (R&D) activities in technology companies
Chapter 4. Global Next Generation Computing 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 Next Generation Computing Market, by Component
6.1. Market Snapshot
6.2. Global Next Generation Computing Market by Component, Performance – Potential Analysis
6.3. Global Next Generation Computing Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Next Generation Computing Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
6.4.3. Services
Chapter 7. Global Next Generation Computing Market, by Type
7.1. Market Snapshot
7.2. Global Next Generation Computing Market by Type, Performance – Potential Analysis
7.3. Global Next Generation Computing Market Estimates & Forecasts by Type 2019-2029 (USD Billion)
7.4. Next Generation Computing Market, Sub Segment Analysis
7.4.1. High-Performance Computing
7.4.2. Quantum Computing
7.4.3. Cloud Computing
7.4.4. Edge Computing
7.4.5. Others
Chapter 8. Global Next Generation Computing Market, by Deployment
8.1. Market Snapshot
8.2. Global Next Generation Computing Market by Deployment, Performance – Potential Analysis
8.3. Global Next Generation Computing Market Estimates & Forecasts by Deployment 2019-2029 (USD Billion)
8.4. Next Generation Computing Market, Sub Segment Analysis
8.4.1. Cloud
8.4.2. On-premises
Chapter 9. Global Next Generation Computing Market, by End-User
9.1. Market Snapshot
9.2. Global Next Generation Computing Market by End-User, Performance – Potential Analysis
9.3. Global Next Generation Computing Market Estimates & Forecasts by End-User 2019-2029 (USD Billion)
9.4. Next Generation Computing Market, Sub Segment Analysis
9.4.1. BFSI
9.4.2. IT & Telecom
9.4.3. Aerospace & Defense
9.4.4. Media & Entertainment
9.4.5. Manufacturing
9.4.6. Others
Chapter 10. Global Next Generation Computing Market, Regional Analysis
10.1. Next Generation Computing Market, Regional Market Snapshot
10.2. North America Next Generation Computing Market
10.2.1. U.S. Next Generation Computing Market Component breakdown estimates & forecasts, 2019-2029 Type breakdown estimates & forecasts, 2019-2029 Deployment breakdown estimates & forecasts, 2019-2029 End-User breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Next Generation Computing Market
10.3. Europe Next Generation Computing Market Snapshot
10.3.1. U.K. Next Generation Computing Market
10.3.2. Germany Next Generation Computing Market
10.3.3. France Next Generation Computing Market
10.3.4. Spain Next Generation Computing Market
10.3.5. Italy Next Generation Computing Market
10.3.6. Rest of Europe Next Generation Computing Market
10.4. Asia-Pacific Next Generation Computing Market Snapshot
10.4.1. China Next Generation Computing Market
10.4.2. India Next Generation Computing Market
10.4.3. Japan Next Generation Computing Market
10.4.4. Australia Next Generation Computing Market
10.4.5. South Korea Next Generation Computing Market
10.4.6. Rest of Asia Pacific Next Generation Computing Market
10.5. Latin America Next Generation Computing Market Snapshot
10.5.1. Brazil Next Generation Computing Market
10.5.2. Mexico Next Generation Computing Market
10.5.3. Rest of Latin America Next Generation Computing Market
10.6. Rest of The World Next Generation Computing Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. IBM Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Google
11.2.3. Amazon Web Services, Inc.
11.2.4. Intel Corporation
11.2.5. Atos SE
11.2.6. Microsoft
11.2.7. Hewlett Packard Enterprise Development LP
11.2.8. NVIDIA Corporation
11.2.9. Cisco Systems Inc.
11.2.10. Advanced Micro Devices, 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:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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