The research process for this study included systematic gathering, recording, and analysis of data about customers and companies operating in the AI in supply chain 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 AI in supply chain 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 AI in supply chain 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 value 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 AI in supply chain 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 AI in supply chain market scenario through secondary research. Several primary interviews have been conducted with experts from both demand (end-use industry, and region) and supply side (offering, deployment, organization size, and application) 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.
Note: The three tiers of the companies have been defined based on their total/segmental revenue as of
2023: Tier 1 = >USD 1 billion, Tier 2 = USD 1 billion–USD 500 million, and Tier 3 = < USD 500 million. ‘Others’
include sales, marketing, and product managers.
To know about the assumptions considered for the study, download the pdf brochure
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 AI in supply chain 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. The research methodology used to estimate the market size includes the following:
AI in Supply Chain Market : Top-Down and Bottom-Up 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
AI in supply chain refers to the integration of artificial intelligence to optimize and automate various processes involved in managing the flow of goods, services, and information. AI enhances supply chain operations by improving demand forecasting, inventory management, logistics, and production planning. It leverages machine learning (ML), predictive analytics, and automation to analyze real-time data, enabling accurate decision-making, identification of potential disruptions, and streamlined operations. AI helps companies increase efficiency, reduce costs, and improve flexibility in response to market demands and changes.
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 based supply chain solution providers
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AI platform providers
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Cloud service providers
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Technology providers
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AI system providers
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Investors and venture capitalists
Report Objectives
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To define, describe, and forecast the size of the AI in supply chain market, in terms of value, by offering, deployment, organization size, application, end-use industry, and region
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To forecast the size of market segments with respect to four regions, namely North America, Europe, Asia Pacific, and the Rest of the World (RoW)
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To identify and analyze key drivers, restraints, opportunities, and challenges influencing the growth of the market
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To offer an ecosystem analysis, value chain analysis, case study analysis, patent analysis, technology analysis, pricing analysis, Porter’s five forces analysis, and regulations pertaining to the market
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To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
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To strategically profile key players and comprehensively analyze their market shares and core competencies
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To analyze the opportunities in the market for stakeholders and describe the competitive landscape of the market
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To study competitive developments such as collaborations, partnerships, product developments, and acquisitions in 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:
CHINA LARGETS MARKET IN 2023
INDIA FASTEST-GROWING MARKET IN REGION
Growth opportunities and latent adjacency in AI in Supply Chain Market