Artificial Intelligence In Supply Chain Market

Artificial Intelligence in Supply Chain - Global Market Outlook (2019-2027)

4.1 (90 reviews)
Published: June 2020 ID: SMRC19425
4.1 (90 reviews)
Published: June 2020 ID: SMRC19425

This report covers the impact of COVID-19 on this global market

According to Stratistics MRC, the Global Artificial Intelligence in Supply Chain Market is accounted for $1,078.68 million in 2019 and is expected to reach $18,861.79 million by 2027 growing at a CAGR of 43.0% during the forecast period. Increasing demand for big data and demand for greater visibility and transparency are the major factors propelling the market growth. However, the limited number of AI experts and difficulties in data integration from multiple sources are hampering the market growth.

Artificial Intelligence (AI) is increasingly relied upon to improve operational efficiency and effectiveness of a broad spectrum of industries. Supply Chain Management (SCM) is a critical logistics function for the most modern enterprise. AI is being integrated into SCM solutions to improve everything from process automation to provide greater visibility into static and real-time data. AI in the SCM market also improves related management information systems.  Accordingly, the AI in the supply chain management market represents a substantial opportunity for many software-driven and data-oriented companies. Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Based on the end-user, the consumer-packaged-goods segment is going to have a lucrative growth during the forecast period owing to the consistent proliferation of the e-commerce sector across emerging economies. The use of AI in the supply chain can offer profitable drop-shipping features such as providing product tracking, inventory management, and warehouse management.

By geography, Asia Pacific is going to have a lucrative growth during the forecast period due to the growing demand for AI-based business solutions for automation across several operational areas including supply chain management. Furthermore, increasing adoption of modern technologies including machine learning and natural language processing, government initiatives towards the adoption of advanced technologies, and rapid digitalization are also contributing to the fastest growth in the Asia Pacific region.

Some of the key players profiled in the Artificial Intelligence in Supply Chain Market include NVIDIA, IBM, Intel, Xilinx, Samsung Electronics, Micron Technology, Microsoft, Amazon, SAP, Oracle, Logility, LLamasoft, Inc., ClearMetal, Splice Machine, and Cainiao Network.

Offerings Covered:
• Hardware
• Software
• Services

Technologies Covered:
• Machine Learning
• Natural Language Processing (NLP)
• Context-Aware Computing
• Computer Vision
• Cognitive Computing

Applications Covered:
• Fleet Management
• Supply Chain Planning
• Warehouse Management
• Virtual Assistant
• Risk Management
• Freight Brokerage
• Planning & Logistics
• Inventory Management
• Operational Procurement
• Supplier Relationship Management

End Users Covered:
• Automotive
• Aerospace
• Manufacturing
• Retail
• Healthcare
• Consumer-Packaged Goods
• Food & Beverages
• Energy & Power

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2018, 2019 2020, 2024, and 2027
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

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• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

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