In a recently published report, AI in Supply Chain & Logistics Market report for till 2030. The report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to regain 25% by the end of 2021- Positive Growth in the economic demand and supply.
U S Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for AI in Supply Chain & Logistics Market products.
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Moreover, increase in ICT spending around the globe for hardware, software, services, new technologies and telecom among others is also anticipated to contribute to the growth of the market in the coming years. The spending on new technologies recorded around USD 0.6 million in 2018 and is further estimated to reach close to USD 1.3 million by 2023. The total ICT spending around the globe further recorded close to USD 5 million in 2019 and is further.
Global AI in Supply Chain & Logistics Market to reach USD 10157.17 Million by 2025.Global AI in Supply Chain & Logistics Market valued approximately USD 502.9 Million in 2017 is anticipated to grow with a healthy growth rate of more than 45.60 % over the forecast period 2018-2025. Growth in this market is mainly driven by factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and satisfaction. The major restraint for the market is the limited number of the artificial intelligence technology experts. But the limited number of artificial intelligence technology experts is expected to restrict adoption, which in turn may limit market growth to a certain extent. And The artificial intelligence in supply chain market for software offerings is expected to hold a larger share. The continuous developments have been witnessed in AI software and related software development kits
The regional analysis of Global AI in Supply Chain & Logistics Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. The artificial intelligence in supply chain market in APAC is expected to grow at the highest CAGR during the forecast period. Market growth can be attributed to increasing adoption of deep learning and NLP technologies for automotive, retail, and manufacturing applications in APAC. Moreover, the presence of major players in the artificial intelligence in supply chain ecosystem results in the increasing adoption of artificial intelligence in APAC.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
*Hardware
*Software
*Services
By Technology:
*Machine Learning
*NLP
*Context Aware Computing
*Computer Vision
By Regions:
*North America
o U.S.
o Canada
*Europe
o UK
o Germany
*Asia Pacific
o China
o India
o Japan
*Latin America
o Brazil
o Mexico
*Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025
The industry is seeming to be fairly competitive. Some of the leading market players include IBM, BonVision Technology, Intel, SAP, General Electric, Amazon Web Services (AWS), Google, LogiNext, Transmetrics, Smarter Sorting, Crowdz, Marble, Evertracker, Deliverish, Avrios International, GlobalTranz and so on. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.
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Target Audience of the Global AI In Supply Chain & Logistics Market in Market Study:
*Key Consulting Companies & Advisors
*Large, medium-sized, and small enterprises
*Venture capitalists
*Value-Added Resellers (VARs)
*Third-party knowledge providers
*Investment bankers
*Investors
TABLE OF CONTENTS
Chapter 1. Global AI IN SUPPLY CHAIN & LOGISTICS Market Definition and Scope
1.1. Research Objective
1.2. Market Definition
1.3. Scope of The Study
1.4. Years Considered for The Study
1.5. Currency Conversion Rates
1.6. Report Limitation
Chapter 2. Research Methodology
2.1. Research Process
2.1.1. Data Mining
2.1.2. Analysis
2.1.3. Market Estimation
2.1.4. Validation
2.1.5. Publishing
2.2. Research Assumption
Chapter 3. Executive Summary
3.1. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
3.2. Key Trends
Chapter 4. Global AI IN SUPPLY CHAIN & LOGISTICS Market Dynamics
4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porter’s 5 Force Model
4.2.2. PEST Analysis
4.2.3. Value Chain Analysis
4.3. Analyst Recommendation & Conclusion
Chapter 5. Global AI IN SUPPLY CHAIN & LOGISTICS Market, By Component
5.1. Market Snapshot
5.2. Market Performance – Potential Model
5.3. Global AI IN SUPPLY CHAIN & LOGISTICS Market, Sub Segment Analysis
5.3.1. Hardware
5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.2. Software
5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.3. Services
5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 6. Global AI IN SUPPLY CHAIN & LOGISTICS Market, By Technology
6.1. Market Snapshot
6.2. Market Performance – Potential Model
6.3. Global AI IN SUPPLY CHAIN & LOGISTICS Market, Sub Segment Analysis
6.3.1. Machine Learning
6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.2. NLP
6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.3. Context Aware Computing
6.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.4. Computer Vision
6.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
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