Artificial Intelligence in Supply Chain Market size was valued at US$ 3.34 Bn. in 2022 and the total revenue is expected to grow at 45.5 % through 2023 to 2029, reaching nearly US$ 46.15 Bn.

Artificial Intelligence in Supply Chain Market Overview

Envisaged during the envisaged period, Maximize Market Research envisions a noteworthy upsurge in the market. The scrutiny of the Artificial Intelligence in Supply Chain Market evaluated by Maximize Market Research, entails a comprehensive exploration of regional intricacies and the competitive landscape.

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Artificial Intelligence in Supply Chain Market Scope and Methodology

The report adopts a foundation-up methodology to estimate the Artificial Intelligence in Supply Chain Market's dimensions. Information is sourced from primary and secondary databases, encompassing both qualitative and quantitative analysis. Primary data is acquired via surveys, questionnaires, and interviews with key figures and entrepreneurs in the Artificial Intelligence in Supply Chain market. The report leverages analytical tools such as SWOT, PESTLE, and Porter's Five Forces Analysis to conduct comprehensive market scrutiny. SWOT analysis facilitates a holistic comprehension of factors influencing business decisions within the market, while PESTLE analysis furnishes insights into growth prospects and risks that influence market efficiency. Overall, the report functions as a valuable resource for investors, stakeholders, and market observers, aiding them in making well-informed judgments within the Artificial Intelligence in Supply Chain Market arena.

Artificial Intelligence in Supply Chain Market Regional Insights

The assessment of regional dynamics is conducted to gauge the state of the Artificial Intelligence in Supply Chain market across nations falling within North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. This market, denoted as Artificial Intelligence in Supply Chain, is broadly categorized into these delineated regions, facilitating an in-depth comprehension of the market's topography and the ever-evolving forces within each specific geographical domain.

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Artificial Intelligence in Supply Chain Market Segmentation

by Offering

Hardware
Software
Services


by Technology

Machine Learning
Computer Vision
Natural Language Processing
Context-Aware Computing

The Artificial Intelligence in Supply Chain market is divided into four sub-segments based on technology: Context-Aware Computing, Computer Vision, Natural Language Processing, and Machine Learning. In 2022, the Machine Learning sector accounted for xx% of the total market share. This growth may be ascribed to increased government activity, a growing need for AI-based intelligent solutions, and the capacity of AI solutions to quickly detect, analyze, and handle massive volumes of data. In 2022, Computer Vision accounted for the second-largest market share, with x%. Computer vision technologies are being used more and more in supply chain operations across a range of industrial sectors.


by Application

Supply Chain Planning
Warehouse Management
Fleet Management
Virtual Assistant
Risk Management
Inventory Management
Planning & Logistics

The supply chain artificial intelligence market is divided into several segments based on the applications used, including supply chain planning, fleet management, warehouse management, virtual assistants, risk management, inventory management, and planning & logistics. In 2022, the Supply Chain Planning sector accounted for xx% of the total market share. This industry may increase as a result of the increasing need for better production planning and scheduling in factories, as well as the increasing agility and simplification of supply chain decision-making. Additionally, this segment's growth is being driven by the automation of current workflows and procedures to reimagine the supply chain planning paradigm.


by End-User

Manufacturing
Food and Beverages
Healthcare
Automotive
Aerospace
Retail
Consumer-Packaged Goods

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Artificial Intelligence in Supply Chain Market Key Players

1. Intel Corporation
2. Amazon.com, Inc.
3. Google LLC
4. Microsoft Corporation
5. Nvidia Corporation
6. Oracle Corporation
7. IBM Corporation
8. Samsung (South Korea)
9. Lamasoft Inc.
10.SAP

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Key questions answered in the Artificial Intelligence in Supply Chain Market are:

What is Artificial Intelligence in Supply Chain?
What was the Artificial Intelligence in Supply Chain market size in 2022?
What are the different segments of the Artificial Intelligence in Supply Chain Market?
What growth strategies are the players considering to increase their presence in Artificial Intelligence in Supply Chain?
What are the upcoming industry applications and trends for the Artificial Intelligence in Supply Chain Market?
What are the recent industry trends that can be implemented to generate additional revenue streams for the Artificial Intelligence in Supply Chain Market?
What major challenges could the Artificial Intelligence in Supply Chain Market face in the future?
What segments are covered in the Artificial Intelligence in Supply Chain Market?
Who are the leading companies and what are their portfolios in Artificial Intelligence in Supply Chain Market?
What segments are covered in the Artificial Intelligence in Supply Chain Market?
Who are the key players in the Artificial Intelligence in Supply Chain market?
Key Offerings:

Past Market Size and Competitive Landscape (2018 to 2022)
Past Pricing and price curve by region (2018 to 2022)
Market Size, Share, Size & Forecast by different segment | 2023−2029
Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
Market Segmentation – A detailed analysis by segment with their sub-segments and Region
Competitive Landscape – Profiles of selected key players by region from a strategic perspective
Competitive landscape – Market Leaders, Market Followers, Regional player
Competitive benchmarking of key players by region
PESTLE Analysis
PORTER’s analysis
Value chain and supply chain analysis
Legal Aspects of Business by Region
Lucrative business opportunities with SWOT analysis
Recommendations
About Maximize Market Research:

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