The research process for this study included systematic gathering, recording, and analysis of data about customers and companies operating in the edge AI hardware market. This process involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) for identifying and collecting valuable information for the comprehensive, technical, market-oriented, and commercial study of the edge AI hardware market. In-depth interviews were conducted with primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess growth prospects. Key players in the edge AI hardware market were identified through secondary research, and their market rankings were determined through primary and secondary research. This research included studying annual reports of top players and interviewing key industry experts such as CEOs, directors, and marketing executives.
Secondary Research
In the secondary research process, various sources were used to identify and collect information important for this study. These include annual reports, press releases & investor presentations of companies, white papers, technology journals, certified publications, articles by recognized authors, directories, and databases.
Secondary research was mainly used to obtain key information about the industry's supply chain, the total pool of market players, the classification of the market according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.
Primary Research
Primary research was also conducted to identify the segmentation types, key players, competitive landscape, and key market dynamics, such as drivers, restraints, opportunities, challenges, and industry trends, along with key strategies adopted by players operating in the edge AI hardware market. Extensive qualitative and quantitative analyses were performed on the complete market engineering process to list key information and insights throughout the report.
Extensive primary research has been conducted after acquiring knowledge about the edge AI hardware market scenarios through secondary research. Several primary interviews have been conducted with experts from both demand (end users) and supply side (edge AI hardware manufacturers/providers) across four major geographic regions: North America, Europe, Asia Pacific, and RoW. Approximately 80% and 20% of the primary interviews were conducted from the supply and demand side, respectively. These primary data have been collected through questionnaires, emails, and telephonic interviews.
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Market Size Estimation
In the complete market engineering process, both top-down and bottom-up approaches were implemented, along with several data triangulation methods, to estimate and validate the size of the edge AI hardware market and various other dependent submarkets. Key players in the market were identified through secondary research, and their market share in the respective regions was determined through primary and secondary research. This entire research methodology included the study of annual and financial reports of the top players, as well as interviews with experts (such as CEOs, VPs, directors, and marketing executives) for key insights (quantitative and qualitative).
All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the markets covered in this research study were accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.
Edge AI Hardware Market: Bottom-Up Approach
Edge AI Hardware Market: Top-down Approach
Data Triangulation
After arriving at the overall market size from the market size estimation process, as explained above, the total market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, market breakdown and data triangulation procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market has been validated using top-down and bottom-up approaches.
Market Definition
Artificial intelligence (AI) technology is now implemented in smartphones, automobiles, drones, and robots. Edge AI is the combination of edge computing and artificial intelligence. Edge AI is the implementation of AI applications in devices throughout the physical world. In this technique, the computation of AI is done near the user at the edge of the network, close to where the data is located, rather than centrally in a cloud computing facility or at private data centers. Edge AI offers a way to process data faster than cloud processing. The release of low-power and high-computing processors has led to the integration of AI algorithms into devices. Developing dedicated AI processors for edge devices has resulted in AI inference performed on devices rather than the cloud platform.
Key Stakeholders
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Semiconductor companies
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Technology providers
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Universities and research organizations
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System integrators
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AI solution providers
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AI platform providers
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AI system providers
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Investors and venture capitalists
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Manufacturers and people implementing AI technology
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Government agencies
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IoT providers
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Consulting firms
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Consulting firms
Report Objectives
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To define, describe, and forecast the edge artificial intelligence (AI) hardware market in terms of volume based by processor, power consumption, device, function, vertical, and region.
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To describe and forecast the market, in terms of value, by region—North America, Europe, Asia Pacific, and RoW (South America, GCC, and Rest of Middle East and Africa).
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To define, describe, and forecast the global edge AI hardware market in terms of value.
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To provide detailed information regarding factors (drivers, restraints, opportunities, and challenges) influencing market growth
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To provide a detailed overview of the process flow of the edge AI hardware market
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To analyze supply chain, market/ecosystem map, trend/disruptions impacting customer business, technology analysis, Porter's five force analysis, trade analysis, case study analysis, patent analysis, key conferences & events, and regulations related to the edge AI hardware market.
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To analyze opportunities for stakeholders in the edge AI hardware market by identifying the high growth segments
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To strategically analyze micro markets concerning individual growth trends, prospects, and contributions to the overall market
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To strategically profile the key players and comprehensively analyze their market shares and core competencies along with detailing the competitive leadership and analyzing growth strategies, such as product launches and developments, expansions, acquisitions, and partnerships, of leading players.
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Analyzing opportunities in the market for stakeholders and providing a competitive landscape for the market
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information
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Detailed analysis and profiling of additional market players (up to 5)
Growth opportunities and latent adjacency in Edge AI Hardware Market