The artificial intelligence market share in supply chain in China is expected to increase by USD 5.92 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 40.54%.
This artificial intelligence market in supply chain in China research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence market in supply chain in China segmentation by end-user (automotive, retail, consumer-packaged goods, food and beverages, and others) and component (hardware, software, and services). The artificial intelligence market in supply chain in China report also offers information on several market vendors, including Accenture Plc, Alphabet Inc., Dynamo management Co. LLC, General Electric Co., International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Salesforce.com Inc., and Siemens AG among others.
What will the Artificial Intelligence Market Size in Supply Chain in China be During the Forecast Period?

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Artificial Intelligence Market in Supply Chain in China: Key Drivers, Trends, and Challenges
The rise in investments and R&D in AI startups is notably driving the artificial intelligence market growth in supply chain in China, although factors such as the shortage of AI technology experts may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence industry in supply chain in China. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Artificial Intelligence Market Driver in Supply Chain in China
The rise in investments and R&D in AI startups is one of the key drivers supporting the artificial intelligence market growth in supply chain in China. Owing to the benefits of AI, governments are promoting AI investments by establishing education programs and R&D to support businesses across many industries within their borders. In fact, the government has come up with formal AI frameworks and strategies, which is aimed at driving economical and technological growth. These strategies mainly aim at enhancing government investments and collaborative partnerships. For instance, in May 2020, Tencent announced an investment of $69.9 billion over the next five years in different areas, ranging from cloud computing to AI, which was boosted by Beijing's calls to improve digital infrastructure in China. Thus, such a rise in investments in AI technology is anticipated to boost the growth of the market in focus during the forecast period.
Key Artificial Intelligence Market Trend in Supply Chain in China
Increased availability of cloud-based applications is another factor supporting the artificial intelligence market growth in supply chain in China. To adopt AI technologies in an on-premises data center, companies would require enough computers and data storage capabilities to process the data faster. Also, companies looking at establishing their own in-house products have realized that this can be an expensive proposition. Therefore, cloud-based software and platforms help companies in overcoming the barriers involved in AI adoption. These factors have increased the adoption of cloud-based AI products and services in supply chain operations. Thus, the increasing adoption of cloud-based AI solutions in supply chain operations is anticipated to boost the market growth during the forecast period.
Key Artificial Intelligence Market Challenge in Supply Chain in China
The shortage of AI technology experts is one of the factors hindering the artificial intelligence market growth in supply chain in China. Most of the companies lack the expertise and resources that are needed to take full advantage of AI. Machine learning and deep learning applications need access to large data sets and specialized infrastructure and processing power. A dedicated team of AI experts is needed to carry out the tasks. AI experts are difficult to find as there is a big competition among the top technology companies to hire the best talent. Companies also need to look at the appropriate use-cases of AI/machine learning algorithm deployment before implementing it at a large scale. All of these require high investments, which put the ability to take advantage of AI out of the reach of most companies. Such factors will limit the market growth during the forecast period.
This artificial intelligence market in supply chain in China analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.
Parent Market Analysis
Technavio categorizes the artificial intelligence market in supply chain in China as a part of the global information technology spending market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the artificial intelligence market in supply chain in China during the forecast period.
Who are the Major Artificial Intelligence Market Vendors in Supply chain in China?
The report analyzes the market's competitive landscape and offers information on several market vendors, including:
- Accenture Plc
- Alphabet Inc.
- Dynamo management Co. LLC
- General Electric Co.
- International Business Machines Corp.
- Intel Corp.
- Microsoft Corp.
- NVIDIA Corp.
- Salesforce.com Inc.
- Siemens AG
This statistical study of the artificial intelligence market in supply chain in China encompasses successful business strategies deployed by the key vendors. The artificial intelligence market in supply chain in China is fragmented and the vendors are deploying growth strategies such as price, quality, brand identity, technology, and distribution to compete in the market.
Product Insights and News
- Accenture Plc - The company offers supply chain analytics and AI in driving relevance, resilience and responsibility.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
The artificial intelligence market in supply chain in China forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.
Artificial Intelligence Market in Supply Chain in China Value Chain Analysis
Our report provides extensive information on the value chain analysis for the artificial intelligence market in supply chain in China, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
What are the Revenue-generating End-user Segments in the Artificial Intelligence Market in Supply Chain in China?

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The artificial intelligence market share growth in supply chain in China by the automotive segment will be significant during the forecast period. The automotive supply chain is a supply chain management that is particularly engaged in the automotive sector. This is closely associated to complete cycle chain management starting from the supply of raw materials from suppliers to the distribution of vehicles to consumers. As the middle-class population grows and increases in disposable income, the sales of the automotive industry are expected to increase as one of the aspirations of the middle-class population is owning a car. Thus, automotive production in China is estimated to increase during the forecast period.
This report provides an accurate prediction of the contribution of all the segments to the growth of the artificial intelligence market size in supply chain in China and actionable market insights on post COVID-19 impact on each segment.
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Japan Artificial Intelligence in Manufacturing and Supply Chain Market - The market share in Japan is expected to increase by USD 1.79 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 13.27%.
France Artificial Intelligence market in Manufacturing and Supply Chains - The market share is expected to increase by USD 1.12 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 16.25%.
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Artificial Intelligence Market Scope in Supply Chain in China
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Report Coverage
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Details
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Page number
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120
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Base year
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2021
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Forecast period
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2022-2026
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Growth momentum & CAGR
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Accelerate at a CAGR of 40.54%
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Market growth 2022-2026
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$ 5.92 billion
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Market structure
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Fragmented
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YoY growth (%)
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34.82
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Competitive landscape
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Leading companies, Competitive strategies, Consumer engagement scope
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Key companies profiled
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Accenture Plc, Alphabet Inc., Dynamo management Co. LLC, General Electric Co., International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Salesforce.com Inc., and Siemens AG
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Market dynamics
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Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for the forecast period
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Customization purview
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If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.
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What are the Key Data Covered in this Artificial Intelligence Market in Supply Chain in China Report?
- CAGR of the market during the forecast period 2022-2026
- Detailed information on factors that will drive artificial intelligence market in supply chain growth in China during the next five years
- Precise estimation of the artificial intelligence market in supply chain size in China and its contribution to the parent market
- Accurate predictions on upcoming trends and changes in consumer behavior
- The growth of the artificial intelligence market in supply chain industry in China
- A thorough analysis of the market's competitive landscape and detailed information on vendors
- Comprehensive details of factors that will challenge the growth of artificial intelligence market in supply chain vendors in China
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***1. Executive Summary
**1.1 Market Overview
*Exhibit 01: Key Finding 1
*Exhibit 02: Key Finding 2
*Exhibit 03: Key Finding 5
*Exhibit 04: Key Finding 6
*Exhibit 05: Key Finding 7
***2. Market Landscape
**2.1 Market ecosystem
*Exhibit 06: Parent market
*Exhibit 07: Market characteristics
**2.2 Value chain analysis
***3. Market Sizing
**3.1 Market definition
*Exhibit 08: Offerings of vendors included in the market definition
**3.2 Market segment analysis
*Exhibit 09: Market segments
**3.3 Market size 2021
**3.4 Market outlook: Forecast for 2021 - 2026
*3.4.1 Estimating growth rates for emerging and high-growth markets
*3.4.2 Estimating growth rates for mature markets
*Exhibit 10: China - Market size and forecast 2021 - 2026 ($ million)
*Exhibit 11: China market: Year-over-year growth 2021 - 2026 (%)
***4. Five Forces Analysis
**4.1 Five Forces Summary
*Exhibit 12: Five forces analysis 2021 & 2026
**4.2 Bargaining power of buyers
*Exhibit 13: Bargaining power of buyers
**4.3 Bargaining power of suppliers
*Exhibit 14: Bargaining power of suppliers
**4.4 Threat of new entrants
*Exhibit 15: Threat of new entrants
**4.5 Threat of substitutes
*Exhibit 16: Threat of substitutes
**4.6 Threat of rivalry
*Exhibit 17: Threat of rivalry
**4.7 Market condition
*Exhibit 18: Market condition - Five forces 2021
***5 Market Segmentation by End-user
**5.1 Market segments
*Exhibit 19: End-user - Market share 2021-2026 (%)
**5.2 Comparison by End-user
*Exhibit 20: Comparison by End-user
**5.3 Automotive - Market size and forecast 2021-2026
*Exhibit 21: Automotive - Market size and forecast 2021-2026 ($ million)
*Exhibit 22: Automotive - Year-over-year growth 2021-2026 (%)
**5.4 Retail - Market size and forecast 2021-2026
*Exhibit 23: Retail - Market size and forecast 2021-2026 ($ million)
*Exhibit 24: Retail - Year-over-year growth 2021-2026 (%)
**5.5 Consumer-packaged goods - Market size and forecast 2021-2026
*Exhibit 25: Consumer-packaged goods - Market size and forecast 2021-2026 ($ million)
*Exhibit 26: Consumer-packaged goods - Year-over-year growth 2021-2026 (%)
**5.6 Food and beverages - Market size and forecast 2021-2026
*Exhibit 27: Food and beverages - Market size and forecast 2021-2026 ($ million)
*Exhibit 28: Food and beverages - Year-over-year growth 2021-2026 (%)
**5.7 Others - Market size and forecast 2021-2026
*Exhibit 29: Others - Market size and forecast 2021-2026 ($ million)
*Exhibit 30: Others - Year-over-year growth 2021-2026 (%)
**5.8 Market opportunity by End-user
*Exhibit 31: Market opportunity by End-user
***6 Market Segmentation by Component
**6.1 Market segments
*Exhibit 32: Component - Market share 2021-2026 (%)
**6.2 Comparison by Component
*Exhibit 33: Comparison by Component
**6.3 Hardware - Market size and forecast 2021-2026
*Exhibit 34: Hardware - Market size and forecast 2021-2026 ($ million)
*Exhibit 35: Hardware - Year-over-year growth 2021-2026 (%)
**6.4 Software - Market size and forecast 2021-2026
*Exhibit 36: Software - Market size and forecast 2021-2026 ($ million)
*Exhibit 37: Software - Year-over-year growth 2021-2026 (%)
**6.5 Services - Market size and forecast 2021-2026
*Exhibit 38: Services - Market size and forecast 2021-2026 ($ million)
*Exhibit 39: Services - Year-over-year growth 2021-2026 (%)
**6.6 Market opportunity by Component
*Exhibit 40: Market opportunity by Component
***7. Customer landscape
**7.1 Overview
*Technavio’s customer landscape matrix comparing Drivers or price sensitivity, Adoption lifecycle, importance in customer price basket, Adoption rate and Key purchase criteria
*Exhibit 41: ?Customer landscape?
***8. Drivers, Challenges, and Trends
**8.1 Market drivers
*8.1.1 Rise in investments and R&D in AI startups
*8.1.2 Adoption of AI for enhancing consumer services and satisfaction
*8.1.3 Demand for greater visibility and transparency into supply chain data and processes
**8.2 Market challenges
*8.2.1 Shortage of AI technology experts
*8.2.2 Issues related to data security
*8.2.3 Complexity in deploying AI technology in supply chain operations
*Exhibit 42: Impact of drivers and challenges
**8.3 Market trends
*8.3.1 Increased availability of cloud-based applications
*8.3.2 Analyzing IoT data faster
*8.3.3 Increasing number of strategic partnerships and acquisitions
***9. Vendor Landscape
**9.1 Overview
*Exhibit 43: Vendor landscape
**9.2 Vendor Disruption
*Exhibit 44: ?Landscape disruption?
*Exhibit 45: Industry risks
***10. Vendor Analysis
**10.1 Vendors covered
*Exhibit 46: Vendors covered
**10.2 Market positioning of vendors
*Exhibit 47: ?Market positioning of vendors?
**10.3 Accenture Plc
*Exhibit 48: Accenture Plc - Overview
*Exhibit 49: Accenture Plc - Business segments
*Exhibit 50: Accenture Plc - Key offerings
*Exhibit 51: Accenture Plc - Segment focus
**10.4 Alphabet Inc.
*Exhibit 52: Alphabet Inc. - Overview
*Exhibit 53: Alphabet Inc. - Business segments
*Exhibit 54: Alphabet Inc. - Key offerings
*Exhibit 55: Alphabet Inc. - Segment focus
**10.5 Dynamo management Co. LLC
*Exhibit 56: Dynamo management Co. LLC - Overview
*Exhibit 57: Dynamo management Co. LLC - Product and service
*Exhibit 58: Dynamo management Co. LLC - Key offerings
**10.6 General Electric Co.
*Exhibit 59: General Electric Co. - Overview
*Exhibit 60: General Electric Co. - Business segments
*Exhibit 61: General Electric Co. - Key offerings
*Exhibit 62: General Electric Co. - Segment focus
**10.7 International Business Machines Corp.
*Exhibit 63: International Business Machines Corp. - Overview
*Exhibit 64: International Business Machines Corp. - Business segments
*Exhibit 65: International Business Machines Corp. - Key offerings
*Exhibit 66: International Business Machines Corp. - Segment focus
**10.8 Intel Corp.
*Exhibit 67: Intel Corp. - Overview
*Exhibit 68: Intel Corp. - Business segments
*Exhibit 69: Intel Corp. - Key offerings
*Exhibit 70: Intel Corp. - Segment focus
**10.9 Microsoft Corp.
*Exhibit 71: Microsoft Corp. - Overview
*Exhibit 72: Microsoft Corp. - Business segments
*Exhibit 73: Microsoft Corp. - Key offerings
*Exhibit 74: Microsoft Corp. - Segment focus
**10.10 NVIDIA Corp.
*Exhibit 75: NVIDIA Corp. - Overview
*Exhibit 76: NVIDIA Corp. - Business segments
*Exhibit 77: NVIDIA Corp. - Key offerings
*Exhibit 78: NVIDIA Corp. - Segment focus
**10.11 Salesforce.com Inc.
*Exhibit 79: Salesforce.com Inc. - Overview
*Exhibit 80: Salesforce.com Inc. - Product and service
*Exhibit 81: Salesforce.com Inc. - Key offerings
**10.12 Siemens AG
*Exhibit 82: Siemens AG - Overview
*Exhibit 83: Siemens AG - Business segments
*Exhibit 84: Siemens AG - Key offerings
*Exhibit 85: Siemens AG - Segment focus
***11. Appendix
**11.1 Scope of the report
*11.1.1 ????Market definition
*11.1.2 ????Objectives
*11.1.3 ????Notes and caveats
**11.2 Currency conversion rates for US$
*Exhibit 86: ?Currency conversion rates for US$?
**11.3 Research Methodology
*Exhibit 87: ?Research Methodology
*Exhibit 88: ??Validation techniques employed for market sizing?
*Exhibit 89: ??Information sources
**11.4 List of abbreviations
*Exhibit 90: List of abbreviations