Key Insights
The AI Computing Hardware Market is experiencing significant expansion, driven by the widespread integration of artificial intelligence across various industries. With a current market size of $67.89 billion in the base year 2024, the market is projected to grow at a Compound Annual Growth Rate (CAGR) of 16.2%. This robust growth is primarily fueled by the escalating demand for high-performance computing solutions essential for processing extensive datasets in AI applications, including machine learning and deep learning. Key growth catalysts include the increasing accessibility of powerful and cost-effective processors, advancements in AI algorithms, and the critical need for real-time data processing in sectors such as autonomous vehicles, medical diagnostics, and financial fraud detection. Significant demand from the automotive and healthcare industries, particularly for embedded vision and sound processors, is a major contributor to market expansion. The growing adoption of cloud-based AI services and edge computing further accelerates the need for specialized hardware.
AI Computing Hardware Industry Market Size (In Billion)
While challenges such as substantial initial investment costs for AI infrastructure and the complexity of AI solution development and deployment exist, these are being progressively addressed through technological innovation and enhanced industry collaboration. The market is segmented by processor type (standalone and embedded) and end-user industry. The embedded processor segment is anticipated to exhibit accelerated growth due to its integration into diverse devices, thereby enhancing functionality and cost-efficiency. Geographically, North America and Asia Pacific are expected to lead the market, propelled by strong technological innovation and substantial investments in AI research and development. Leading companies are actively contributing to market growth through continuous innovation and strategic partnerships. The market's future outlook points to sustained growth, driven by the increasing integration of AI into daily life and the emergence of novel applications across diverse sectors.
AI Computing Hardware Industry Company Market Share
AI Computing Hardware Industry Market Report: 2019-2033
This comprehensive report provides an in-depth analysis of the AI Computing Hardware industry, offering invaluable insights for industry professionals, investors, and strategists. The study period spans from 2019 to 2033, with 2025 serving as the base and estimated year. The forecast period covers 2025-2033, and the historical period encompasses 2019-2024. The report projects a market valued at xx Million by 2033, exhibiting a compelling CAGR of xx% during the forecast period. Key players analyzed include CEVA Inc, NXP Semiconductors NV, Allied Vision Technologies GmbH, Basler AG, Knowles Electronics LLC, Synopsys Inc, GreenWaves Technologies, Arm Limited, Cadence Design Systems Inc, and Andrea Electronics Corporation.
AI Computing Hardware Industry Market Structure & Innovation Trends
This section dissects the competitive landscape, highlighting market concentration, innovation drivers, and regulatory influences. We analyze the impact of mergers and acquisitions (M&A) on market dynamics, quantifying deal values where possible. The report reveals a moderately concentrated market, with the top 5 players holding an estimated xx% market share in 2025. Innovation is driven primarily by advancements in deep learning algorithms, improved sensor technologies, and the demand for energy-efficient processors. Regulatory frameworks, particularly those concerning data privacy and security, significantly impact market growth. Product substitution pressures stem from advancements in software-based AI solutions. End-user demographics are shifting towards increased adoption in automotive, healthcare, and IT & Telecom sectors.
- Key Findings:
- Top 5 players hold xx% market share (2025).
- M&A activity totalled approximately xx Million in the period 2019-2024.
- Key innovation drivers include deep learning algorithms and improved sensor technology.
- Stringent data privacy regulations influence market strategies.
AI Computing Hardware Industry Market Dynamics & Trends
This section explores the factors driving market growth, technological disruptions, and evolving consumer preferences. We analyze competitive dynamics, including pricing strategies and market penetration rates. The automotive sector is a key growth driver, fueled by the increasing adoption of ADAS (Advanced Driver-Assistance Systems). The market is also witnessing a surge in demand for embedded vision processors in consumer electronics and IoT devices. Technological disruptions, such as the emergence of neuromorphic computing, present both opportunities and challenges. Consumer preferences are increasingly focused on energy efficiency, performance, and cost-effectiveness.
Dominant Regions & Segments in AI Computing Hardware Industry
This section pinpoints the leading geographic regions and market segments. We examine factors driving dominance, such as economic policies, infrastructure development, and technological adoption rates.
Leading Regions: North America and Asia-Pacific are projected to dominate the market, fueled by robust technological advancements and high investment in AI research.
Leading Segments:
- Type: Embedded Vision Processors are expected to hold the largest market share due to their increasing applications in diverse sectors, including automotive, and IoT.
- End User: The automotive sector exhibits the highest growth potential due to the rapid development of self-driving capabilities and ADAS systems. The healthcare sector's adoption is accelerating, driven by medical image analysis and remote patient monitoring.
Key Drivers for Dominance (Examples):
- North America: Strong government support for AI research, presence of major technology companies.
- Asia-Pacific: Rapid technological advancements, expanding consumer electronics market, favorable government policies.
- Automotive: High demand for ADAS features, autonomous driving technology development.
- Healthcare: Growing need for medical image analysis, remote patient monitoring, and disease diagnostics.
AI Computing Hardware Industry Product Innovations
Recent years have seen significant innovations in AI computing hardware, focusing on increased processing power, reduced energy consumption, and improved integration with other technologies. The development of specialized processors optimized for deep learning algorithms, along with advancements in sensor technology, are key drivers of this innovation. This has resulted in a broader range of applications across various industries. The market is witnessing a shift towards more energy-efficient solutions and system-on-chip (SoC) designs that integrate multiple functionalities, offering competitive advantages in terms of cost and performance.
Report Scope & Segmentation Analysis
The report provides a comprehensive segmentation analysis, covering both the Type and End-User segments.
Type: Stand-alone Vision Processor, Embedded Vision Processor, Stand-alone Sound Processor, Embedded Sound Processor. Each segment's growth trajectory and competitive landscape are examined in detail. Market size projections and growth rates are provided for each type.
End User: BFSI, Automotive, Healthcare, IT and Telecom, Aerospace and Defense, Energy and Utilities, Government and Public Services, Other End Users. We assess the specific needs and preferences of each end-user segment and project growth opportunities based on market dynamics.
Key Drivers of AI Computing Hardware Industry Growth
Several factors are driving the growth of the AI computing hardware industry. These include the increasing demand for AI-powered applications across various sectors, advancements in deep learning algorithms, and the development of more powerful and energy-efficient processors. Government initiatives promoting AI research and development and increasing investments from both public and private sectors further contribute to this growth. Moreover, the growing adoption of IoT devices and the need for real-time data processing are driving demand for efficient AI computing hardware.
Challenges in the AI Computing Hardware Industry Sector
Despite strong growth potential, the AI computing hardware industry faces significant challenges. These include high development costs, the complexity of integrating AI solutions into existing systems, and the need for specialized expertise. Supply chain disruptions and the emergence of powerful competitors pose additional hurdles. Furthermore, concerns around data privacy and security regulations can restrict market expansion and require compliance strategies.
Emerging Opportunities in AI Computing Hardware Industry
Emerging opportunities exist in niche areas like edge AI, where computing is performed closer to the data source, enabling faster processing and reduced latency. The increasing adoption of AI in specialized sectors such as robotics, autonomous vehicles, and smart homes presents substantial opportunities for growth. Further advancements in neuromorphic computing could revolutionize AI hardware, offering significantly improved performance and energy efficiency.
Leading Players in the AI Computing Hardware Industry Market
Key Developments in AI Computing Hardware Industry
- Q1 2023: CEVA Inc announces a new AI processor for edge devices.
- Q3 2022: NXP Semiconductors NV acquires a smaller AI chip company, strengthening its portfolio.
- Q4 2021: Arm Limited launches a new architecture optimized for AI workloads.
- (Further key developments will be included in the full report)
Future Outlook for AI Computing Hardware Industry Market
The future outlook for the AI computing hardware industry is extremely positive. Continued advancements in AI algorithms, the expansion of IoT devices, and the growing demand for AI-powered solutions across various sectors will drive market growth. Strategic partnerships, acquisitions, and investments in research and development will play a crucial role in shaping the future of this dynamic industry. The market is expected to witness considerable expansion, driven by increased adoption of AI across diverse sectors and continued technological innovations.
AI Computing Hardware Industry Segmentation
-
1. Type
- 1.1. Stand-alone Vision Processor
- 1.2. Embedded Vision Processor
- 1.3. Stand-alone Sound Processor
- 1.4. Embedded Sound Processor
-
2. End User
- 2.1. BFSI
- 2.2. Automotive
- 2.3. Healthcare
- 2.4. IT and Telecom
- 2.5. Aerospace and Defense
- 2.6. Energy and Utilities
- 2.7. Government and Public Services
- 2.8. Other End Users
AI Computing Hardware Industry Segmentation By Geography
-
1. North America
- 1.1. United States
- 1.2. Canada
-
2. Europe
- 2.1. Germany
- 2.2. United Kingdom
- 2.3. France
- 2.4. Rest of Europe
-
3. Asia Pacific
- 3.1. China
- 3.2. Japan
- 3.3. South Korea
- 3.4. Rest of Asia Pacific
-
4. Rest of the World
- 4.1. Latin America
- 4.2. Middle East and Africa
AI Computing Hardware Industry Regional Market Share
Geographic Coverage of AI Computing Hardware Industry
AI Computing Hardware Industry REPORT HIGHLIGHTS
| Aspects | Details |
|---|---|
| Study Period | 2020-2034 |
| Base Year | 2025 |
| Estimated Year | 2026 |
| Forecast Period | 2026-2034 |
| Historical Period | 2020-2025 |
| Growth Rate | CAGR of 16.2% from 2020-2034 |
| Segmentation |
|
Table of Contents
- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 2.1. Introduction
- 3. Market Dynamics
- 3.1. Introduction
- 3.2. Market Drivers
- 3.2.1. ; Demand for AI Computing Hardware in the Defense sector; Adoption of Field-programmable Gate Arrays (FPGA) for High Computing Speed
- 3.3. Market Restrains
- 3.3.1. ; Limited Number of AI Experts and High Power Consumption
- 3.4. Market Trends
- 3.4.1. Automotive Sector to Witness Significant Growth
- 4. Market Factor Analysis
- 4.1. Porters Five Forces
- 4.2. Supply/Value Chain
- 4.3. PESTEL analysis
- 4.4. Market Entropy
- 4.5. Patent/Trademark Analysis
- 5. Global AI Computing Hardware Industry Analysis, Insights and Forecast, 2020-2032
- 5.1. Market Analysis, Insights and Forecast - by Type
- 5.1.1. Stand-alone Vision Processor
- 5.1.2. Embedded Vision Processor
- 5.1.3. Stand-alone Sound Processor
- 5.1.4. Embedded Sound Processor
- 5.2. Market Analysis, Insights and Forecast - by End User
- 5.2.1. BFSI
- 5.2.2. Automotive
- 5.2.3. Healthcare
- 5.2.4. IT and Telecom
- 5.2.5. Aerospace and Defense
- 5.2.6. Energy and Utilities
- 5.2.7. Government and Public Services
- 5.2.8. Other End Users
- 5.3. Market Analysis, Insights and Forecast - by Region
- 5.3.1. North America
- 5.3.2. Europe
- 5.3.3. Asia Pacific
- 5.3.4. Rest of the World
- 5.1. Market Analysis, Insights and Forecast - by Type
- 6. North America AI Computing Hardware Industry Analysis, Insights and Forecast, 2020-2032
- 6.1. Market Analysis, Insights and Forecast - by Type
- 6.1.1. Stand-alone Vision Processor
- 6.1.2. Embedded Vision Processor
- 6.1.3. Stand-alone Sound Processor
- 6.1.4. Embedded Sound Processor
- 6.2. Market Analysis, Insights and Forecast - by End User
- 6.2.1. BFSI
- 6.2.2. Automotive
- 6.2.3. Healthcare
- 6.2.4. IT and Telecom
- 6.2.5. Aerospace and Defense
- 6.2.6. Energy and Utilities
- 6.2.7. Government and Public Services
- 6.2.8. Other End Users
- 6.1. Market Analysis, Insights and Forecast - by Type
- 7. Europe AI Computing Hardware Industry Analysis, Insights and Forecast, 2020-2032
- 7.1. Market Analysis, Insights and Forecast - by Type
- 7.1.1. Stand-alone Vision Processor
- 7.1.2. Embedded Vision Processor
- 7.1.3. Stand-alone Sound Processor
- 7.1.4. Embedded Sound Processor
- 7.2. Market Analysis, Insights and Forecast - by End User
- 7.2.1. BFSI
- 7.2.2. Automotive
- 7.2.3. Healthcare
- 7.2.4. IT and Telecom
- 7.2.5. Aerospace and Defense
- 7.2.6. Energy and Utilities
- 7.2.7. Government and Public Services
- 7.2.8. Other End Users
- 7.1. Market Analysis, Insights and Forecast - by Type
- 8. Asia Pacific AI Computing Hardware Industry Analysis, Insights and Forecast, 2020-2032
- 8.1. Market Analysis, Insights and Forecast - by Type
- 8.1.1. Stand-alone Vision Processor
- 8.1.2. Embedded Vision Processor
- 8.1.3. Stand-alone Sound Processor
- 8.1.4. Embedded Sound Processor
- 8.2. Market Analysis, Insights and Forecast - by End User
- 8.2.1. BFSI
- 8.2.2. Automotive
- 8.2.3. Healthcare
- 8.2.4. IT and Telecom
- 8.2.5. Aerospace and Defense
- 8.2.6. Energy and Utilities
- 8.2.7. Government and Public Services
- 8.2.8. Other End Users
- 8.1. Market Analysis, Insights and Forecast - by Type
- 9. Rest of the World AI Computing Hardware Industry Analysis, Insights and Forecast, 2020-2032
- 9.1. Market Analysis, Insights and Forecast - by Type
- 9.1.1. Stand-alone Vision Processor
- 9.1.2. Embedded Vision Processor
- 9.1.3. Stand-alone Sound Processor
- 9.1.4. Embedded Sound Processor
- 9.2. Market Analysis, Insights and Forecast - by End User
- 9.2.1. BFSI
- 9.2.2. Automotive
- 9.2.3. Healthcare
- 9.2.4. IT and Telecom
- 9.2.5. Aerospace and Defense
- 9.2.6. Energy and Utilities
- 9.2.7. Government and Public Services
- 9.2.8. Other End Users
- 9.1. Market Analysis, Insights and Forecast - by Type
- 10. Competitive Analysis
- 10.1. Global Market Share Analysis 2025
- 10.2. Company Profiles
- 10.2.1 CEVA Inc
- 10.2.1.1. Overview
- 10.2.1.2. Products
- 10.2.1.3. SWOT Analysis
- 10.2.1.4. Recent Developments
- 10.2.1.5. Financials (Based on Availability)
- 10.2.2 NXP Semiconductors NV
- 10.2.2.1. Overview
- 10.2.2.2. Products
- 10.2.2.3. SWOT Analysis
- 10.2.2.4. Recent Developments
- 10.2.2.5. Financials (Based on Availability)
- 10.2.3 Allied Vision Technologies GmbH
- 10.2.3.1. Overview
- 10.2.3.2. Products
- 10.2.3.3. SWOT Analysis
- 10.2.3.4. Recent Developments
- 10.2.3.5. Financials (Based on Availability)
- 10.2.4 Basler AG
- 10.2.4.1. Overview
- 10.2.4.2. Products
- 10.2.4.3. SWOT Analysis
- 10.2.4.4. Recent Developments
- 10.2.4.5. Financials (Based on Availability)
- 10.2.5 Knowles Electronics LLC
- 10.2.5.1. Overview
- 10.2.5.2. Products
- 10.2.5.3. SWOT Analysis
- 10.2.5.4. Recent Developments
- 10.2.5.5. Financials (Based on Availability)
- 10.2.6 Synopsys Inc
- 10.2.6.1. Overview
- 10.2.6.2. Products
- 10.2.6.3. SWOT Analysis
- 10.2.6.4. Recent Developments
- 10.2.6.5. Financials (Based on Availability)
- 10.2.7 GreenWaves Technologies
- 10.2.7.1. Overview
- 10.2.7.2. Products
- 10.2.7.3. SWOT Analysis
- 10.2.7.4. Recent Developments
- 10.2.7.5. Financials (Based on Availability)
- 10.2.8 Arm Limited
- 10.2.8.1. Overview
- 10.2.8.2. Products
- 10.2.8.3. SWOT Analysis
- 10.2.8.4. Recent Developments
- 10.2.8.5. Financials (Based on Availability)
- 10.2.9 Cadence Design Systems Inc
- 10.2.9.1. Overview
- 10.2.9.2. Products
- 10.2.9.3. SWOT Analysis
- 10.2.9.4. Recent Developments
- 10.2.9.5. Financials (Based on Availability)
- 10.2.10 Andrea Electronics Corporation
- 10.2.10.1. Overview
- 10.2.10.2. Products
- 10.2.10.3. SWOT Analysis
- 10.2.10.4. Recent Developments
- 10.2.10.5. Financials (Based on Availability)
- 10.2.1 CEVA Inc
List of Figures
- Figure 1: Global AI Computing Hardware Industry Revenue Breakdown (billion, %) by Region 2025 & 2033
- Figure 2: North America AI Computing Hardware Industry Revenue (billion), by Type 2025 & 2033
- Figure 3: North America AI Computing Hardware Industry Revenue Share (%), by Type 2025 & 2033
- Figure 4: North America AI Computing Hardware Industry Revenue (billion), by End User 2025 & 2033
- Figure 5: North America AI Computing Hardware Industry Revenue Share (%), by End User 2025 & 2033
- Figure 6: North America AI Computing Hardware Industry Revenue (billion), by Country 2025 & 2033
- Figure 7: North America AI Computing Hardware Industry Revenue Share (%), by Country 2025 & 2033
- Figure 8: Europe AI Computing Hardware Industry Revenue (billion), by Type 2025 & 2033
- Figure 9: Europe AI Computing Hardware Industry Revenue Share (%), by Type 2025 & 2033
- Figure 10: Europe AI Computing Hardware Industry Revenue (billion), by End User 2025 & 2033
- Figure 11: Europe AI Computing Hardware Industry Revenue Share (%), by End User 2025 & 2033
- Figure 12: Europe AI Computing Hardware Industry Revenue (billion), by Country 2025 & 2033
- Figure 13: Europe AI Computing Hardware Industry Revenue Share (%), by Country 2025 & 2033
- Figure 14: Asia Pacific AI Computing Hardware Industry Revenue (billion), by Type 2025 & 2033
- Figure 15: Asia Pacific AI Computing Hardware Industry Revenue Share (%), by Type 2025 & 2033
- Figure 16: Asia Pacific AI Computing Hardware Industry Revenue (billion), by End User 2025 & 2033
- Figure 17: Asia Pacific AI Computing Hardware Industry Revenue Share (%), by End User 2025 & 2033
- Figure 18: Asia Pacific AI Computing Hardware Industry Revenue (billion), by Country 2025 & 2033
- Figure 19: Asia Pacific AI Computing Hardware Industry Revenue Share (%), by Country 2025 & 2033
- Figure 20: Rest of the World AI Computing Hardware Industry Revenue (billion), by Type 2025 & 2033
- Figure 21: Rest of the World AI Computing Hardware Industry Revenue Share (%), by Type 2025 & 2033
- Figure 22: Rest of the World AI Computing Hardware Industry Revenue (billion), by End User 2025 & 2033
- Figure 23: Rest of the World AI Computing Hardware Industry Revenue Share (%), by End User 2025 & 2033
- Figure 24: Rest of the World AI Computing Hardware Industry Revenue (billion), by Country 2025 & 2033
- Figure 25: Rest of the World AI Computing Hardware Industry Revenue Share (%), by Country 2025 & 2033
List of Tables
- Table 1: Global AI Computing Hardware Industry Revenue billion Forecast, by Type 2020 & 2033
- Table 2: Global AI Computing Hardware Industry Revenue billion Forecast, by End User 2020 & 2033
- Table 3: Global AI Computing Hardware Industry Revenue billion Forecast, by Region 2020 & 2033
- Table 4: Global AI Computing Hardware Industry Revenue billion Forecast, by Type 2020 & 2033
- Table 5: Global AI Computing Hardware Industry Revenue billion Forecast, by End User 2020 & 2033
- Table 6: Global AI Computing Hardware Industry Revenue billion Forecast, by Country 2020 & 2033
- Table 7: United States AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 8: Canada AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 9: Global AI Computing Hardware Industry Revenue billion Forecast, by Type 2020 & 2033
- Table 10: Global AI Computing Hardware Industry Revenue billion Forecast, by End User 2020 & 2033
- Table 11: Global AI Computing Hardware Industry Revenue billion Forecast, by Country 2020 & 2033
- Table 12: Germany AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 13: United Kingdom AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 14: France AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 15: Rest of Europe AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 16: Global AI Computing Hardware Industry Revenue billion Forecast, by Type 2020 & 2033
- Table 17: Global AI Computing Hardware Industry Revenue billion Forecast, by End User 2020 & 2033
- Table 18: Global AI Computing Hardware Industry Revenue billion Forecast, by Country 2020 & 2033
- Table 19: China AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 20: Japan AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 21: South Korea AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 22: Rest of Asia Pacific AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 23: Global AI Computing Hardware Industry Revenue billion Forecast, by Type 2020 & 2033
- Table 24: Global AI Computing Hardware Industry Revenue billion Forecast, by End User 2020 & 2033
- Table 25: Global AI Computing Hardware Industry Revenue billion Forecast, by Country 2020 & 2033
- Table 26: Latin America AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
- Table 27: Middle East and Africa AI Computing Hardware Industry Revenue (billion) Forecast, by Application 2020 & 2033
Frequently Asked Questions
1. What is the projected Compound Annual Growth Rate (CAGR) of the AI Computing Hardware Industry?
The projected CAGR is approximately 16.2%.
2. Which companies are prominent players in the AI Computing Hardware Industry?
Key companies in the market include CEVA Inc, NXP Semiconductors NV, Allied Vision Technologies GmbH, Basler AG, Knowles Electronics LLC, Synopsys Inc, GreenWaves Technologies, Arm Limited, Cadence Design Systems Inc, Andrea Electronics Corporation.
3. What are the main segments of the AI Computing Hardware Industry?
The market segments include Type, End User.
4. Can you provide details about the market size?
The market size is estimated to be USD 67.89 billion as of 2022.
5. What are some drivers contributing to market growth?
; Demand for AI Computing Hardware in the Defense sector; Adoption of Field-programmable Gate Arrays (FPGA) for High Computing Speed.
6. What are the notable trends driving market growth?
Automotive Sector to Witness Significant Growth.
7. Are there any restraints impacting market growth?
; Limited Number of AI Experts and High Power Consumption.
8. Can you provide examples of recent developments in the market?
N/A
9. What pricing options are available for accessing the report?
Pricing options include single-user, multi-user, and enterprise licenses priced at USD 4750, USD 5250, and USD 8750 respectively.
10. Is the market size provided in terms of value or volume?
The market size is provided in terms of value, measured in billion.
11. Are there any specific market keywords associated with the report?
Yes, the market keyword associated with the report is "AI Computing Hardware Industry," which aids in identifying and referencing the specific market segment covered.
12. How do I determine which pricing option suits my needs best?
The pricing options vary based on user requirements and access needs. Individual users may opt for single-user licenses, while businesses requiring broader access may choose multi-user or enterprise licenses for cost-effective access to the report.
13. Are there any additional resources or data provided in the AI Computing Hardware Industry report?
While the report offers comprehensive insights, it's advisable to review the specific contents or supplementary materials provided to ascertain if additional resources or data are available.
14. How can I stay updated on further developments or reports in the AI Computing Hardware Industry?
To stay informed about further developments, trends, and reports in the AI Computing Hardware Industry, consider subscribing to industry newsletters, following relevant companies and organizations, or regularly checking reputable industry news sources and publications.
Methodology
Step 1 - Identification of Relevant Samples Size from Population Database
Step 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)
Note*: In applicable scenarios
Step 3 - Data Sources
Primary Research
- Web Analytics
- Survey Reports
- Research Institute
- Latest Research Reports
- Opinion Leaders
Secondary Research
- Annual Reports
- White Paper
- Latest Press Release
- Industry Association
- Paid Database
- Investor Presentations
Step 4 - Data Triangulation
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence