Artificial Intelligence in Supply Chain Market: Current Analysis and Forecast (2022-2028)
$4999 – $8699
Emphasis on Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, and Others); By End-User (Automotive, Retail, Consumer-Packaged Goods, Food and Beverages, and Others); and Region/Country
Global Artificial Intelligence in Supply Chain Market is expected to grow at a significant rate of around 46% during the forecast period. AI in supply chains is helping to deliver the powerful optimization capabilities required for more accurate capacity planning, improved productivity, high quality, lower costs, and greater output, all while fostering safer working conditions. The growing adoption of artificial intelligence in the supply chain can be attributed to the growing adoption of AI. For instance, as per the press research, AI investments reached USD 881 mn in the year 2020, globally. Furthermore, AI has been applied in a variety of end-use applications that allow businesses to function without the need for human supervision. AI-enabled machinery and equipment can work successfully by acquiring human abilities.
IBM Corporation, Microsoft Corporation, Google LLC, Amazon.com Inc., Intel Corporation, Nvidia Corporation, Oracle Corporation, Samsung, LLamasoft Inc., and SAP SE, are some of the key players in the market. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.
Insights Presented in the Report
“Amongst application, the supply chain planning category to witness higher CAGR during the forecast period”
Based on application, the market is segmented into fleet management, supply chain planning, warehouse management, virtual assistant, and others. The supply chain planning segment is expected to achieve a significant CAGR during the forecast. The growing adoption of data-based decision-making and the increasing number of operations in a company requires proper management, scheduling, and planning to manage the operations. AI helps in the decision-making and optimization of the resources within the industry.
“Amongst end-users, the automotive segment is expected to hold a significant share in the market in 2020”
Based on end-users, the market is segmented into automotive, retail, consumer-packaged goods, food and beverages, and others. The automotive segment is expected to grow significantly during the forecast period. The growing size of the automotive industry and the introduction of electric vehicles is expected to drive the market. Furthermore, the growing prominence of electric vehicles and big data in the automobile industry is expected to Proliferate the artificial intelligence in the supply chain market
“North America to hold a significant share in the market”
The North American region is expected to dominate the artificial intelligence supply chain market. The growing adoption of artificial intelligence in the supply chain can be attributed to growing government initiatives toward the promotion and deployment of AI solutions. Furthermore, the growth of the e-commerce sector in countries including the U.S.A and Canada, growing investments in AI technology for productivity enhancement, the need for enhancing supply chain management, and a surge in the volume of real-time inventory data are contributing to the growth of the AI technologies market in supply chain industry in this region.
Reasons to buy this report:
- The study includes market sizing and forecasting Analytics validated by authenticated key industry experts.
- The report presents a quick review of overall industry performance at one glance.
- The report covers in-depth Analytics of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.
- Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.
- The study comprehensively covers the market across different segments.
- Deep dive regional level Analytics of the industry.
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|1.1. Market Definitions|
|1.2. Main Objective|
|2.1. Research Process of the Artificial Intelligence in Supply Chain Market|
|2.2. Research Methodology of the Artificial Intelligence in Supply Chain Market|
|2.3. Respondent Profile|
|3. MARKET SYNOPSIS|
|4. EXECUTIVE SUMMARY|
|5. IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAIN MARKET|
|6. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET REVENUE (USD BN), 2020-2028F|
|7.1. Fleet Management|
|7.2. Supply Chain Planning|
|7.3. Warehouse Management|
|7.4. Virtual Assistant|
|8.3. Consumer-Packaged Goods|
|8.4. Food and Beverages|
|9.1. North America|
|9.1.3. Rest of North America|
|9.2.6.Rest of Europe|
|9.3.4. Rest of Asia-Pacific|
|9.4. Rest of World|
|10.1. Market Drivers|
|10.2. Market Challenges|
|10.3. Impact Analysis|
|11. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET OPPORTUNITIES|
|12. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET TRENDS|
|13.1. Demand Side Analysis|
|13.2. Supply Side Analysis|
|14. VALUE CHAIN ANALYSIS|
|15.1. Competitive Landscape|
|15.1.1. Porters Fiver Forces Analysis|
Research Methodology for the Artificial Intelligence in Supply Chain Market Analytics (2022-2028)
Analyzing the historical market, estimating the current market, and forecasting the future market of the global artificial intelligence in supply chain market were the three major steps undertaken to create and analyze the adoption of artificial intelligence in supply chain in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the global artificial intelligence in supply chain market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:
Analytics of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
Detail secondary study was conducted to obtain the historical market size of the artificial intelligence in supply chain market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of artificial intelligence in supply chain market, we conducted detailed secondary Analytics to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as an application, and end-user. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analytics:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor Analytics to estimate the current market size of artificial intelligence in supply chain market. Further, we conducted factor Analytics using dependent and independent variables such as various application and end-user of artificial intelligence in supply chain. A thorough Analytics was conducted for demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the artificial intelligence in supply chain market sector across the globe.
Current Market Size Estimate & Forecast
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global artificial intelligence in supply chain market, and market shares of the segments. All the required percentage shares split, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2028 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:
- The industry’s market size, in terms of revenue (USD) and the adoption rate of artificial intelligence in supply chain market across the major markets domestically
- All percentage shares, splits, and breakdowns of market segments and sub-segments
- Key players in the global artificial intelligence in supply chain market in terms of products offered. Also, the growth strategies adopted by these players to compete in the fast-growing market
Market Size and Share Validation
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical Analytics was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Split of Primary Participants in Different Regions
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global artificial intelligence in supply chain market. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of applications and end-users in the global artificial intelligence in the supply chain market.
The main objective of the Global Artificial Intelligence in Supply Chain Market Study
The current & future market trends of the global artificial intelligence in the supply chain market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative Analytics performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
- Analyze the current and forecast market size of artificial intelligence in the supply chain market in terms of value (USD). Also, analyze the current and forecast market size of different segments and sub-segments
- Segments in the study include areas of the application and end-user.
- Define and Analytics of the regulatory framework for artificial intelligence in the supply chain
- Analyze the value chain involved with the presence of various intermediaries, along with analyzing customer and competitor behaviors of the industry.
- Analyze the current and forecast market size of artificial intelligence in the supply chain market for the major region.
- Major countries of regions studied in the report include Asia Pacific, Europe, North America, and the Rest of the World.
- Company profiles of the artificial intelligence in the supply chain market and the growth strategies adopted by the market players to sustain in the fast-growing market
- Deep dive regional level Analytics of the industry