Global Artificial Intelligence in Supply Chain Market size was valued at US$ 1.58 Bn. in 2020 and the total revenue is expected to grow at 45.5 % through 2021 to 2027, reaching nearly US$ 21.80 Bn.
Global Artificial Intelligence in Supply Chain Market Overview:
The Global Artificial Intelligence in Supply Chain Market is expected to grow at a highest CAGR between 2021 and 2027, according to the forecast. The Artificial Intelligence in Supply Chain Market 2021 Report includes, among other things, an in-depth evaluation of the industry's growth, offer, drivers, and constraints. In addition, for the forecasted period of 2027, this study provides a subjective examination of many aspects such as overall development, advancement, opportunity, business systems, approaches, and so on. The investigation looks at the revenue generated and progress made by a variety of application sectors, as well as the company's most recent pattern that raises market awareness.
Report Summary:
The Global Artificial Intelligence in Supply Chain Market Report 2020-2027 (Forecast Period) provides an detailed analysis of market growth factors, future evaluation, country-level analysis, Artificial Intelligence in Supply Chain market distribution, and competitive landscape analysis of major industry players. In the research report, every segment of the global Artificial Intelligence in Supply Chain market is thoroughly examined. Through leading segments, the segment analysis identifies critical opportunities in the global Artificial Intelligence in Supply Chain market. The regional study of the global Artificial Intelligence in Supply Chain market assists readers in gaining a comprehensive understanding of the developments of the different geographic markets in recent years and going forward. The report also includes a wide-ranging overview of the key dynamics of the global Artificial Intelligence in Supply Chain market, such as market influence and market effect factors, drivers, threats, constraints, trends, and prospects. Other types of analysis, such as qualitative and quantitative, are also included in the research study.
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Segmentation:
Machine Learning, Computer Vision, Natural Language Processing, and Context-Aware Computing are the sub-segments of the Artificial Intelligence in Supply Chain market. In 2020, the Machine Learning segment had the greatest market share of %. Rising demand for AI-based intelligent solutions, increased government operations, and AI solutions' capacity to efficiently handle and analyse enormous volumes of data, as well as scan, process, and respond to anomalies quickly, are all factors contributing to this growth. In 2020, Computer Vision had the second-largest market share of percent. The use of computer vision technologies in supply chain activities is fast rising across numerous industry sectors. Increased awareness of AI's benefits, as well as the availability of automation, are driving the segment's growth.
Key Players:
• Intel Corporation
• Amazon.com, Inc.
• Google LLC
• Microsoft Corporation
• Nvidia Corporation
• Oracle Corporation
• IBM Corporation
• Samsung (South Korea)
• Lamasoft Inc.
• SAP
• General Electric
• Deutsche Post AG DHL
• Xilinx
• Micron Technology, Inc.
• FedEx
• ClearMetalInc
• C.H. Robinson
• E2open
• Relex Solution
• Presenso
• Cainiao Network
• Splice Machine
• Logility
• LLamasoft Inc.
• Micron Technology
COVID-19 Impact:
COVID-19 has the potential to have three major effects on the global economy: directly impacting production and demand, causing supply chain and market disruption, and having a financial impact on businesses and financial markets. Our analysts, who are monitoring the situation throughout the world, believe that the market would provide producers with lucrative opportunities following the COVID-19 difficulty. The purpose of the report is to provide a more detailed representation of the current circumstances, the economic slowdown, and the influence of COVID-19 on the total industry.
Competitive Landscape and Artificial Intelligence in Supply Chain Market Share Analysis:
The competitive landscape for the Artificial Intelligence in Supply Chain market gives statistics and data on the various competitors. The study provides a detailed analysis and reliable revenue information for the player from 2018 to 2021. It also includes a detailed analysis based on accurate revenue (global and regional) information for the period 2018-2021. Company description, principal business, total revenue and sales, revenue earned in the Artificial Intelligence in Supply Chain business, date of entry into the Artificial Intelligence in Supply Chain market, Artificial Intelligence in Supply Chain product introduction, recent advancements, and other details are given.
The major players covered in Artificial Intelligence in Supply Chain Market:
In addition to analysing the major aspects of the Artificial Intelligence in Supply Chain industry, the analysis looks at different volume trends, pricing history, and market value. To get a clearer picture of the industry, several future growth drivers, problems, and opportunities are examined.
The Artificial Intelligence in Supply Chain Market Segmentation:
Players, stakeholders, and other market participants in the global Artificial Intelligence in Supply Chain market will get an advantage by utilising the study as a valuable resource. For the period 2020-2027, the segmental analysis focuses on sales, revenue, and forecasts by Type and Application. The Artificial Intelligence in Supply Chain market is segmented into…..
Regional Insights on Artificial Intelligence in Supply Chain market:
The study includes research on production, consumption, revenue, market share, and growth rate for the following regions: North America, Europe, Asia-Pacific, South America, the Middle East, and Africa, as well as forecasts for 2020-2027.The Artificial Intelligence in Supply Chain report covers the five regions and their country-wise distribution are:
North America – (U.S., Canada, and Mexico)
Europe – (U.K., Germany, France, Spain, Italy, Sweden, CIS Countries, and Rest of Europe)
Asia Pacific – (China, India, Japan, South Korea, Australia, ASEAN, and Rest of APAC)
Middle East & Africa – (South Africa, GCC Countries, Nigeria, Egypt, and Rest of ME&A)
South America – (Brazil, Argentina, Colombia, and Rest of South America)
This study examines the global industry's top players and classifies them into product types and end-use industries. It also examines the state and prospects of important markets from the viewpoints of players, nations, product types, and end industries. This study also looks at the impact of COVID-19 on the Artificial Intelligence in Supply Chain Market industry. The Global Artificial Intelligence in Supply Chain Market Industry 2021 Industry Research Report offers exclusive key statistics, data, information, market trends, and competitive landscape insights in this expert area.
The study objectives of this report are:
- To study and analyse the global Artificial Intelligence in Supply Chain market size (value and volume) by company, main regions/countries, products and application, past data from 2016 to 2018, and forecast to 2027.
- To understand the structure of Artificial Intelligence in Supply Chain market by classifying its several sub segments.
- To share in depth information about the key factors influencing the growth of the market (industry trends, opportunities, drivers, challenges, and market risks).
- Focuses on the key global Artificial Intelligence in Supply Chain manufacturers, to define, describe and analyse the sales volume, value, market share, market competitive landscape, SWOT analysis and future growth plans in the future.
- To analyse the Artificial Intelligence in Supply Chain with respect to specific growth trends, future prospects, and their contribution to the global market.
- To project the value and volume of Artificial Intelligence in Supply Chain submarkets, with respect to key regions (along with their respective key countries).
- To analyse economic and political market situation in the global, regional, and country-level report includes, PESTEL analysis, PORTER’s 5 forces Analysis, COST analysis, and regulatory landscape also helps to find government contribution and restriction for the Artificial Intelligence in Supply Chain market.
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