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Asia Pacific Cognitive Supply Chain Market Size, Share & Industry Trends Analysis Report By Deployment Type, By Technology, By Enterprise Size (Large Enterprises, Small & Medium-sized Enterprises), By Vertical, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 151 Pages
  • September 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903330
The Asia Pacific Cognitive Supply Chain Market would witness market growth of 15.5% CAGR during the forecast period (2023-2030).

Robotic process automation refers to using software robots to perform rule-based duties previously performed manually by human employees. RPA performs data entry, invoice processing, and order monitoring quickly and accurately. This automation allows employees to concentrate on more valuable and strategic tasks, enhancing productivity and efficiency. One of the advantages of automating the supply chain is its ability to reduce operational expenses. By automating previously labor-intensive duties, businesses can streamline their operations, eliminate the need for manual labor, and maximize resource utilization. Consequently, this cost reduction can significantly influence the company's financial performance, freeing up funds that can be transferred to other essential business areas.

Increasing emphasis on sustainability and environmental issues has become a key driver for businesses to adopt eco-friendly supply chain practices. Cognitive solutions, which leverage cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML), play a crucial role in assisting businesses to achieve their sustainability objectives and meet the preferences of environmentally conscious customers. Transport route optimization is one-way cognitive solutions contribute to eco-friendly supply chains. Transportation significantly contributes to greenhouse gas emissions, and inefficient routes can increase petroleum consumption and carbon footprint. Transportation data, including traffic conditions and other relevant factors, can be analysed by cognitive technologies to determine the most efficient delivery routes. By reducing travel distances and optimizing delivery schedules, businesses can reduce petroleum consumption and emissions, fostering a more environmentally friendly supply chain.

According to Invest India, the Indian e-commerce sector was worth over $55 billion in gross merchandise value by 2021. By 2030, its annual gross merchandise value will reach $350 billion. By 2023, the nation will have approximately over 907 million internet users. This growth will fuel the expansion of e-commerce. The increasing e-commerce sector in India has indeed played a vital role in fueling the expansion of the cognitive supply chain market in the country. India's e-commerce industry has witnessed tremendous growth in recent years, driven by rising internet penetration, smartphone adoption, urbanization, and changing consumer preferences. Cognitive supply chain solutions have become essential for optimizing e-commerce logistics, enhancing customer experiences, and meeting the demands of a fast-growing online retail industry. The abovementioned aspects led the market to boost in this region.

The China market dominated the Asia Pacific Cognitive Supply Chain Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,660.4 million by 2030. The Japan market is registering a CAGR of 14.8% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 16.2% during (2023 - 2030).

Based on Deployment Type, the market is segmented into On-premise, and Cloud. Based on Technology, the market is segmented into Internet of Things (IoT), Machine Learning, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises, Small & Medium-sized Enterprises. Based on Vertical, the market is segmented into Manufacturing, Food & Beverage, Logistics & Transportation, Retail & E-commerce, Healthcare, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, Oracle Corporation, Accenture PLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Honeywell International, Inc., C.H. Robinson Worldwide, Inc., Amazon.com, Inc. and Panasonic Holdings Corporation

Scope of the Study

Market Segments Covered in the Report:

By Deployment Type
  • On-premise
  • Cloud
By Technology
  • Internet of Things (IoT)
  • Machine Learning
  • Others
By Enterprise Size
  • Large Enterprises
  • Small & Medium-sized Enterprises
By Vertical
  • Manufacturing
  • Food & Beverage
  • Logistics & Transportation
  • Retail & E-commerce
  • Healthcare
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:


  • SAP SE
  • Oracle Corporation
  • Accenture PLC
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Honeywell International, Inc.
  • C.H. Robinson Worldwide, Inc.
  • Amazon.com, Inc.
  • Panasonic Holdings Corporation

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Cognitive Supply Chain Market, by Deployment Type
1.4.2 Asia Pacific Cognitive Supply Chain Market, by Technology
1.4.3 Asia Pacific Cognitive Supply Chain Market, by Enterprise Size
1.4.4 Asia Pacific Cognitive Supply Chain Market, by Vertical
1.4.5 Asia Pacific Cognitive Supply Chain Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2022
4.2 Strategies deployed in Cognitive Supply Chain Market
4.3 Porter’s Five Forces Analysis
Chapter 5. Asia Pacific Cognitive Supply Chain Market, By Deployment Type
5.1 Asia Pacific On-premise Market, By Country
5.2 Asia Pacific Cloud Market, By Country
Chapter 6. Asia Pacific Cognitive Supply Chain Market, By Technology
6.1 Asia Pacific Internet of Things (IoT) Market, By Country
6.2 Asia Pacific Machine Learning Market, By Country
6.3 Asia Pacific Others Market, By Country
Chapter 7. Asia Pacific Cognitive Supply Chain Market, By Enterprise Size
7.1 Asia Pacific Large Enterprises Market, By Country
7.2 Asia Pacific Small & Medium-sized Enterprises Market, By Country
Chapter 8. Asia Pacific Cognitive Supply Chain Market, By Vertical
8.1 Asia Pacific Manufacturing Market, By Country
8.2 Asia Pacific Food & Beverage Market, By Country
8.3 Asia Pacific Logistics & Transportation Market, By Country
8.4 Asia Pacific Retail & E-commerce Market, By Country
8.5 Asia Pacific Healthcare Market, By Country
8.6 Asia Pacific Others Market, By Country
Chapter 9. Asia Pacific Cognitive Supply Chain Market, By Country
9.1 China Cognitive Supply Chain Market
9.1.1 China Cognitive Supply Chain Market, By Deployment Type
9.1.2 China Cognitive Supply Chain Market, By Technology
9.1.3 China Cognitive Supply Chain Market, By Enterprise Size
9.1.4 China Cognitive Supply Chain Market, By Vertical
9.2 Japan Cognitive Supply Chain Market
9.2.1 Japan Cognitive Supply Chain Market, By Deployment Type
9.2.2 Japan Cognitive Supply Chain Market, By Technology
9.2.3 Japan Cognitive Supply Chain Market, By Enterprise Size
9.2.4 Japan Cognitive Supply Chain Market, By Vertical
9.3 India Cognitive Supply Chain Market
9.3.1 India Cognitive Supply Chain Market, By Deployment Type
9.3.2 India Cognitive Supply Chain Market, By Technology
9.3.3 India Cognitive Supply Chain Market, By Enterprise Size
9.3.4 India Cognitive Supply Chain Market, By Vertical
9.4 South Korea Cognitive Supply Chain Market
9.4.1 South Korea Cognitive Supply Chain Market, By Deployment Type
9.4.2 South Korea Cognitive Supply Chain Market, By Technology
9.4.3 South Korea Cognitive Supply Chain Market, By Enterprise Size
9.4.4 South Korea Cognitive Supply Chain Market, By Vertical
9.5 Singapore Cognitive Supply Chain Market
9.5.1 Singapore Cognitive Supply Chain Market, By Deployment Type
9.5.2 Singapore Cognitive Supply Chain Market, By Technology
9.5.3 Singapore Cognitive Supply Chain Market, By Enterprise Size
9.5.4 Singapore Cognitive Supply Chain Market, By Vertical
9.6 Malaysia Cognitive Supply Chain Market
9.6.1 Malaysia Cognitive Supply Chain Market, By Deployment Type
9.6.2 Malaysia Cognitive Supply Chain Market, By Technology
9.6.3 Malaysia Cognitive Supply Chain Market, By Enterprise Size
9.6.4 Malaysia Cognitive Supply Chain Market, By Vertical
9.7 Rest of Asia Pacific Cognitive Supply Chain Market
9.7.1 Rest of Asia Pacific Cognitive Supply Chain Market, By Deployment Type
9.7.2 Rest of Asia Pacific Cognitive Supply Chain Market, By Technology
9.7.3 Rest of Asia Pacific Cognitive Supply Chain Market, By Enterprise Size
9.7.4 Rest of Asia Pacific Cognitive Supply Chain Market, By Vertical
Chapter 10. Company Profiles
10.10. SAP SE
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.6 SWOT Analysis
10.2 Oracle Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.6 SWOT Analysis
10.3 Accenture PLC
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Acquisition and Mergers:
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 SWOT Analysis
10.5 Intel Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 SWOT Analysis
10.6 NVIDIA Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.6 SWOT Analysis
10.7 Honeywell International, Inc.
10.7.1 Company Overview
10.7.2 Segmental and Regional Analysis
10.7.3 Research & Development Expenses
10.7.4 Recent strategies and developments:
10.7.4.1 Partnerships, Collaborations, and Agreements:
10.7.5 SWOT Analysis
10.8 C.H. Robinson Worldwide, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional & Segmental Analysis
10.8.4 Recent strategies and developments:
10.8.4.1 Partnerships, Collaborations, and Agreements:
10.8.5 SWOT Analysis
10.9 Amazon.com, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental Analysis
10.9.4 SWOT Analysis
10.10. Panasonic Holdings Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expenses
10.10.5 Recent strategies and developments:
10.10.5.1 Partnerships, Collaborations, and Agreements:
10.10.6 SWOT Analysis

Companies Mentioned

  • SAP SE
  • Oracle Corporation
  • Accenture PLC
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Honeywell International, Inc.
  • C.H. Robinson Worldwide, Inc.
  • Amazon.com, Inc.
  • Panasonic Holdings Corporation

Methodology

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