Computational Fluid Dynamics (CFD) Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0193166
  • Format: Electronic (PDF)
  • Number of Pages: 218
  • Author(s): Joshi, Madhavi

Report Overview

The Computational Fluid Dynamics (CFD) Market size was estimated at USD 2.2 billion in 2023 and is projected to reach USD 4.2 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 10.00% during the forecast period (2024-2030).

Computational Fluid Dynamics (CFD) Market

(Market Size)
$2.2 billion
$4.2 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 10.00%
2023 Market Size USD 2.2 billion
2030 Market Size USD 4.2 billion
Key Players Ansys, Siemens PLM, Dassault Systèmes, CD-adapco, Altair

Market Summary

The Computational Fluid Dynamics (CFD) market within the consumer goods industry represents a specialized segment focused on leveraging advanced simulation software to analyze fluid flow, heat transfer, and related physical phenomena. This technology is instrumental in enhancing product design, optimizing performance, and ensuring regulatory compliance across various consumer goods applications. Companies utilize CFD to simulate real-world conditions virtually, reducing the need for physical prototypes and accelerating time-to-market for innovative products. The adoption of CFD is driven by the industry's continuous pursuit of efficiency, sustainability, and superior product quality. Key players in this market include software providers, engineering firms, and consumer goods manufacturers who integrate these solutions into their research and development processes. The market is characterized by ongoing technological advancements, such as the integration of artificial intelligence and machine learning, which further enhance simulation accuracy and usability. As consumer demands for high-performance and environmentally friendly products grow, the role of CFD in the consumer goods sector becomes increasingly critical, supporting innovation and competitive differentiation.

Key Highlights

The Computational Fluid Dynamics (CFD) market in the consumer goods industry is distinguished by several key highlights. One significant aspect is the ability of CFD software to provide detailed insights into fluid behavior, enabling manufacturers to optimize designs for products such as household appliances, packaging, and personal care items. This optimization leads to improved energy efficiency, reduced material usage, and enhanced user experience. Another highlight is the growing adoption of cloud-based CFD solutions, which offer scalability and accessibility, allowing smaller companies to leverage advanced simulation tools without substantial upfront investments. The integration of CFD with other digital technologies, like IoT and big data analytics, is also noteworthy, facilitating real-time monitoring and predictive maintenance in manufacturing processes. Additionally, the market sees increasing collaboration between software developers and consumer goods companies to create tailored solutions that address specific industry challenges. These collaborations often result in more user-friendly interfaces and specialized modules for applications like aerodynamics, thermal management, and multiphase flow simulations, further driving market growth and innovation.

Drivers, Opportunities & Restraints

Several drivers propel the Computational Fluid Dynamics (CFD) market in the consumer goods industry. The primary driver is the escalating demand for energy-efficient and sustainable products, compelling manufacturers to utilize CFD for optimizing designs and reducing environmental impact. Additionally, the need for cost reduction and accelerated product development cycles encourages the adoption of simulation technologies to minimize physical testing and prototyping. Opportunities in this market are abundant, particularly with the emergence of advanced technologies such as artificial intelligence and machine learning, which enhance CFD capabilities by automating complex simulations and improving accuracy. The expansion into emerging markets, where consumer goods production is growing, also presents significant opportunities for CFD software providers. However, the market faces restraints, including the high cost of advanced CFD software and the requirement for specialized expertise to operate these tools effectively. Moreover, data security concerns associated with cloud-based solutions may hinder adoption among some companies. Despite these challenges, the overall trajectory remains positive, driven by continuous innovation and the critical role of CFD in achieving operational excellence and product superiority.

Concentration Insights

The concentration of the Computational Fluid Dynamics (CFD) market in the consumer goods industry is characterized by the presence of both global leaders and niche players. Major companies such as Ansys, Siemens PLM Software, and Dassault Syst?mes dominate the market, offering comprehensive CFD solutions that cater to a wide range of applications. These established players invest heavily in research and development to introduce advanced features and maintain their competitive edge. Alongside them, specialized firms focus on specific segments within the consumer goods sector, providing tailored solutions for applications like HVAC systems, automotive components, and packaging design. The market also sees participation from open-source CFD software providers, which offer cost-effective alternatives and contribute to market diversity. Geographically, North America and Europe exhibit high concentration due to their advanced manufacturing bases and early adoption of simulation technologies. However, Asia-Pacific is rapidly emerging as a significant market, driven by growing industrialization and increasing investment in R&D. This diverse concentration fosters a competitive environment that encourages innovation and continuous improvement in CFD technologies.

Type Insights

The Computational Fluid Dynamics (CFD) market in the consumer goods industry can be segmented based on the type of software and deployment models. Predominantly, the market includes general-purpose CFD software, which offers broad capabilities for simulating various fluid dynamics problems, and application-specific software, designed for particular tasks such as thermal analysis or aerodynamic optimization. General-purpose solutions are widely adopted due to their versatility and ability to handle complex multiphysics simulations. In terms of deployment, on-premise CFD software remains popular among large enterprises that require full control over their data and systems. Conversely, cloud-based CFD solutions are gaining traction, especially among small and medium-sized enterprises, due to their lower initial costs, scalability, and ease of access. Additionally, there is a growing trend towards integrated suites that combine CFD with other engineering tools, such as CAD and CAE, providing a seamless workflow from design to simulation. This integration enhances productivity and reduces errors, making it a preferred choice for many consumer goods manufacturers seeking comprehensive digital transformation.

Application Insights

In the consumer goods industry, Computational Fluid Dynamics (CFD) finds applications across numerous domains, significantly enhancing product development and manufacturing processes. One prominent application is in the design and optimization of household appliances, such as refrigerators, air conditioners, and washing machines, where CFD simulations help improve thermal efficiency, reduce noise, and ensure compliance with energy standards. Another critical application is in packaging design, where CFD analyzes fluid-structure interactions to create innovative, sustainable, and protective packaging solutions. The personal care and cosmetics sector utilizes CFD to simulate aerosol sprays, liquid flows, and heat distribution in products like hair dryers and skincare devices, ensuring safety and efficacy. Additionally, CFD is employed in the automotive components within consumer goods, such as ventilation systems and fuel injectors, to enhance performance and durability. The food and beverage industry leverages CFD for process optimization, including mixing, heating, and cooling operations, to maintain product quality and consistency. These diverse applications underscore the versatility of CFD technology in addressing specific challenges and driving innovation in the consumer goods sector.

Regional Insights

The adoption of Computational Fluid Dynamics (CFD) in the consumer goods industry varies significantly across regions, influenced by factors such as technological advancement, industrial base, and regulatory environment. North America holds a substantial market share, driven by the presence of leading consumer goods manufacturers and early adoption of advanced simulation technologies. The region's focus on innovation and sustainability further accelerates CFD utilization. Europe follows closely, with strong demand from countries like Germany, France, and the UK, where stringent energy efficiency regulations and high-quality standards promote the use of CFD in product design and development. Asia-Pacific is identified as the fastest-growing region, fueled by rapid industrialization, expanding consumer goods production, and increasing investments in R&D. Countries such as China, Japan, and India are key contributors, with growing awareness of CFD benefits among manufacturers. Latin America and the Middle East & Africa are emerging markets, where gradual industrialization and economic development are creating new opportunities for CFD adoption. Overall, regional insights highlight a globally expanding market with diverse growth dynamics and potential.

Company Insights

The Computational Fluid Dynamics (CFD) market for the consumer goods industry features several key companies that lead in innovation and market presence. Ansys Inc. is a prominent player, known for its comprehensive CFD software suites that offer robust simulation capabilities for various applications. Siemens Digital Industries Software provides advanced CFD solutions integrated with its PLM portfolio, enabling seamless digital twin implementations. Dassault Syst?mes offers SIMULIA fluids simulation tools, which are widely used for multiphysics analyses in consumer goods design. Other significant contributors include Altair Engineering, with its focus on hyperworks and simulation-driven design, and Mentor Graphics, a Siemens business, specializing in electronic cooling and thermal management. Additionally, open-source platforms like OpenFOAM gain traction for their flexibility and cost-effectiveness, appealing to research institutions and smaller enterprises. These companies continuously invest in R&D to enhance software features, improve user interfaces, and expand application scope. Strategic partnerships and acquisitions are common, aimed at broadening product offerings and penetrating new market segments. The competitive landscape is dynamic, with innovation and customer-centric solutions being critical to maintaining leadership in this specialized market.

Recent Developments

Recent developments in the Computational Fluid Dynamics (CFD) market for the consumer goods industry reflect ongoing technological advancements and strategic initiatives. A notable trend is the increasing integration of artificial intelligence and machine learning into CFD software, enabling automated mesh generation, faster solver algorithms, and enhanced predictive capabilities. Companies like Ansys and Siemens have launched AI-driven modules that reduce simulation time and improve accuracy. Another significant development is the expansion of cloud-based CFD solutions, with providers offering scalable, subscription-based models that make advanced simulation accessible to a broader range of businesses. For instance, Dassault Syst?mes has enhanced its 3DEXPERIENCE platform with cloud capabilities, facilitating collaborative simulations across global teams. Additionally, there is a growing emphasis on sustainability, with CFD tools being used to design energy-efficient products and processes, aligning with global environmental regulations. Recent mergers and acquisitions have also shaped the market, such as Siemens' acquisition of COMSOL Multiphysics assets, aimed at strengthening its multiphysics simulation portfolio. These developments indicate a market evolving towards greater efficiency, accessibility, and alignment with industry 4.0 principles, driving continued growth and innovation.

Report Segmentation

The report on the Computational Fluid Dynamics (CFD) market for the consumer goods industry is segmented to provide detailed insights into various aspects. The segmentation by type includes general-purpose CFD software and application-specific CFD software, catering to different user needs and complexity levels. Deployment models are divided into on-premise and cloud-based solutions, reflecting the evolving preferences for flexibility and cost management. Application segmentation covers key areas such as household appliances, packaging, personal care products, automotive components, and food & beverage processes, highlighting the diverse uses of CFD technology. Geographically, the report analyzes regions including North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, offering a comprehensive view of regional dynamics and growth opportunities. Additionally, the report may segment based on end-user industries within consumer goods, such as electronics, textiles, and furniture, to address specific market nuances. This structured segmentation enables stakeholders to identify targeted opportunities, understand market trends, and make informed decisions based on precise and relevant data.

FAQs

What is Computational Fluid Dynamics (CFD) used for in consumer goods? Computational Fluid Dynamics is used to simulate and analyze fluid flow, heat transfer, and related processes in consumer goods design and manufacturing. It helps optimize products like appliances, packaging, and personal care items for performance, efficiency, and sustainability.

Which companies are leading in the CFD software market? Leading companies include Ansys, Siemens Digital Industries Software, Dassault Syst?mes, and Altair Engineering, known for their advanced simulation tools and industry-specific solutions.

How does CFD improve product development in consumer goods? CFD reduces the need for physical prototypes by providing virtual testing environments, accelerating development cycles, lowering costs, and enhancing product quality through detailed insights into fluid behavior and thermal dynamics.

What are the benefits of cloud-based CFD solutions? Cloud-based CFD offers scalability, reduced upfront costs, remote accessibility, and easier collaboration, making advanced simulation tools available to smaller businesses and distributed teams.

What challenges are associated with implementing CFD? Challenges include high software costs, the need for specialized expertise, data security concerns with cloud solutions, and integration complexities with existing design and manufacturing systems.

How is AI impacting the CFD market? AI enhances CFD by automating mesh generation, improving solver efficiency, enabling predictive analytics, and reducing simulation time, leading to more accurate and accessible fluid dynamics simulations.

Citius Research has developed a research report titled “Computational Fluid Dynamics (CFD) Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• Computational Fluid Dynamics (CFD) Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The Computational Fluid Dynamics (CFD) Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

Computational Fluid Dynamics (CFD) Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

Computational Fluid Dynamics (CFD) Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of Computational Fluid Dynamics (CFD) Market
• Research Methodology
• Executive Summary
• Market Dynamics of Computational Fluid Dynamics (CFD) Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of Computational Fluid Dynamics (CFD) Market
• Cost and Gross Margin Analysis of Computational Fluid Dynamics (CFD) Market
• Computational Fluid Dynamics (CFD) Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “Computational Fluid Dynamics (CFD) Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

Computational Fluid Dynamics (CFD) Market Key Stakeholders

Below are the key stakeholders for the Computational Fluid Dynamics (CFD) Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

Computational Fluid Dynamics (CFD) Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the Computational Fluid Dynamics (CFD) Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the Computational Fluid Dynamics (CFD) Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in Computational Fluid Dynamics (CFD) Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Customize This Report

Frequently Asked Questions

The Global Computational Fluid Dynamics (CFD) Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
The global Computational Fluid Dynamics (CFD) Market is expected to grow at a CAGR of XX% from 2023 to 2030.
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Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global Computational Fluid Dynamics (CFD) Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global Computational Fluid Dynamics (CFD) Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global Computational Fluid Dynamics (CFD) Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global Computational Fluid Dynamics (CFD) Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia Computational Fluid Dynamics (CFD) Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

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