Market Overview:
The global paralleling system market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for high-performance computing (HPC) systems and the growing trend of parallel computing. Bit-level paralleling is the most common type of paralleling and accounts for the majority of the market share. However, instruction-level and task parallelism are expected to grow at a higher rate during the forecast period. Cluster computing is currently the largest application segment in terms of revenue, followed by distributed computing and multi-core computing. However, systolic arrays are expected to witness highest growth among all applications segments during 2018–2030 owing to their ability to deliver massive throughputs for data intensive workloads such as machine learning (ML) and deep learning (DL).
Product Definition:
A paralleling system is a power distribution system that allows two or more generators to share load. This is important because it allows for redundancy in the event of a generator failure.
Bit-level:
Bit-level is the smallest unit of digital information and it's like a single pixel in a picture. It can be used to represent one bit of information. Bit level data is most commonly used in parallel processing systems such as PASCAL, where each processor has it's own little stack of bits (like an Etch-a-Sketch).
Instruction-level:
Instruction-level parallelism is a level of parallelism at an instruction (level 1) level. It is also known as SIMT (Single-Instruction Multiple Threads). At this level, the data processing takes place in the same memory where the instructions are stored. The concept of instruction-level parallelism was firstly introduced by John Hopkins University in their 2006 paper on “Parallel Programming from a Single Source”.
Application Insights:
The global paralleling system market is segmented by application into cluster computing, distributed computing, multi-core computing, symmetric multiprocessing and others. In 2017, the distributed computing segment accounted for a major share in the market due to rise in demand from various industries such as financial services and retail. The use of paralleling systems for load balancing and failover purposes has become common among large organizations that conduct substantial business transactions over the internet.
Parallelism plays an important role in several fields of computer science such as operating systems design, compiler design, software architecture design etc., which have led to increased adoption of this technology worldwide. Furthermore parallelism provides efficient solution for hard problems that require multiple processors; these solutions are being used across different applications areas thus driving growth worldwide.
Instruction-level parallelism is gaining popularity among several industry verticals owing to its benefits including improved performance on highly threaded applications with high computational requirements or heavy loads resulting in higher overhead costs etc.
Regional Analysis:
North America is expected to be the key revenue contributor in the global market. The growth of this region can be attributed to significant investments made by prominent players for developing innovative products and solutions. Moreover, presence of a large number of industry participants has resulted in increased adoption paralleling systems across several application areas such as big data analytics, distributed computing, and others.
Asia Pacific is anticipated to witness substantial growth over the forecast period owing to increasing demand from emerging economies such as China and India for advanced technologies with high performance-to-cost ratio enabling them tackle various challenges including climate change effectively. Furthermore, growing penetration of cloud services along with rising need for real-time applications will drive regional market growth over the forecast period. Increasing government initiatives aimed at promoting usage parallel processing techniques are also expected boost regional market development over next eight years (2030).
Growth Factors:
- Increasing demand for data centers and rising need for energy-efficient systems
- Proliferation of cloud services and big data analytics
- Growing number of microgrids and distributed generation installations
- Development of innovative technologies that improve the performance, reliability, and efficiency of paralleling systems
- Rising concerns about climate change and the need to reduce greenhouse gas emissions
Scope Of The Report
Report Attributes
Report Details
Report Title
Paralleling System Market Research Report
By Type
Bit-level, Instruction-level, Task parallelism
By Application
Cluster Computing, Distributed Computing, Multi-core Computing, Symmetric Multiprocessing, Others
By Companies
Burroughs, CDC, Cisco, Dell, IBM, Intel, Parallel Technologies, Tandem Computers
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global Paralleling System Market Report Segments:
The global Paralleling System market is segmented on the basis of:
Types
Bit-level, Instruction-level, Task parallelism
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Cluster Computing, Distributed Computing, Multi-core Computing, Symmetric Multiprocessing, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Burroughs
- CDC
- Cisco
- Dell
- IBM
- Intel
- Parallel Technologies
- Tandem Computers
Highlights of The Paralleling System Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Bit-level
- Instruction-level
- Task parallelism
- By Application:
- Cluster Computing
- Distributed Computing
- Multi-core Computing
- Symmetric Multiprocessing
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Paralleling System Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A paralleling system is a computer system that allows multiple processors to share the same physical memory. This can be helpful when the number of tasks that need to be processed is large, and the amount of memory available on one processor is limited.
Some of the key players operating in the paralleling system market are Burroughs, CDC, Cisco, Dell, IBM, Intel, Parallel Technologies, Tandem Computers.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Paralleling System Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Paralleling System Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Paralleling System Market - Supply Chain
4.5. Global Paralleling System Market Forecast
4.5.1. Paralleling System Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Paralleling System Market Size (000 Units) and Y-o-Y Growth
4.5.3. Paralleling System Market Absolute $ Opportunity
5. Global Paralleling System Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Paralleling System Market Size and Volume Forecast by Type
5.3.1. Bit-level
5.3.2. Instruction-level
5.3.3. Task parallelism
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Paralleling System Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Paralleling System Market Size and Volume Forecast by Application
6.3.1. Cluster Computing
6.3.2. Distributed Computing
6.3.3. Multi-core Computing
6.3.4. Symmetric Multiprocessing
6.3.5. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Paralleling System Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Paralleling System Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Paralleling System Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Paralleling System Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Paralleling System Demand Share Forecast, 2019-2026
9. North America Paralleling System Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Paralleling System Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Paralleling System Market Size and Volume Forecast by Application
9.4.1. Cluster Computing
9.4.2. Distributed Computing
9.4.3. Multi-core Computing
9.4.4. Symmetric Multiprocessing
9.4.5. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Paralleling System Market Size and Volume Forecast by Type
9.7.1. Bit-level
9.7.2. Instruction-level
9.7.3. Task parallelism
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Paralleling System Demand Share Forecast, 2019-2026
10. Latin America Paralleling System Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Paralleling System Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Paralleling System Market Size and Volume Forecast by Application
10.4.1. Cluster Computing
10.4.2. Distributed Computing
10.4.3. Multi-core Computing
10.4.4. Symmetric Multiprocessing
10.4.5. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Paralleling System Market Size and Volume Forecast by Type
10.7.1. Bit-level
10.7.2. Instruction-level
10.7.3. Task parallelism
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Paralleling System Demand Share Forecast, 2019-2026
11. Europe Paralleling System Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Paralleling System Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Paralleling System Market Size and Volume Forecast by Application
11.4.1. Cluster Computing
11.4.2. Distributed Computing
11.4.3. Multi-core Computing
11.4.4. Symmetric Multiprocessing
11.4.5. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Paralleling System Market Size and Volume Forecast by Type
11.7.1. Bit-level
11.7.2. Instruction-level
11.7.3. Task parallelism
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Paralleling System Demand Share, 2019-2026
12. Asia Pacific Paralleling System Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Paralleling System Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Paralleling System Market Size and Volume Forecast by Application
12.4.1. Cluster Computing
12.4.2. Distributed Computing
12.4.3. Multi-core Computing
12.4.4. Symmetric Multiprocessing
12.4.5. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Paralleling System Market Size and Volume Forecast by Type
12.7.1. Bit-level
12.7.2. Instruction-level
12.7.3. Task parallelism
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Paralleling System Demand Share, 2019-2026
13. Middle East & Africa Paralleling System Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Paralleling System Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Paralleling System Market Size and Volume Forecast by Application
13.4.1. Cluster Computing
13.4.2. Distributed Computing
13.4.3. Multi-core Computing
13.4.4. Symmetric Multiprocessing
13.4.5. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Paralleling System Market Size and Volume Forecast by Type
13.7.1. Bit-level
13.7.2. Instruction-level
13.7.3. Task parallelism
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Paralleling System Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Paralleling System Market: Market Share Analysis
14.2. Paralleling System Distributors and Customers
14.3. Paralleling System Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Burroughs
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. CDC
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Cisco
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Dell
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. IBM
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Intel
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Parallel Technologies
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Tandem Computers
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. COMPANY9
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. COMPANY 10
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. COMPANY 11
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. COMPANY 12
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. COMPANY 13
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. COMPANY 14
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. COMPANY 15
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
