Artificial Intelligence in Supply Chain Market Opportunities 2031
人工智能帮助企业有效管理所有供应链相关功能,提高营收和利润价值。因此,需要对供应链业务进行规划和控制,机器学习等先进技术发挥着重要作用。供应链专业人员可以根据大数据集的正确分析做出最佳决策。
市场动态
人工智能的采用率提高提高客户满意度并简化所有供应链相关业务。此外,在供应链市场的驱动因素中,人工智能也为参与者提供了一些机会,例如,提高制造领域运营效率和生产力的愿望增加、基于云的供应链解决方案的兴起等。预计未来一段时间有利于供应链市场人工智能的一些因素。
市场范围
“全球人工智能” 《2031 年供应链市场智能分析》是对技术、媒体和电信行业的专业深入研究,特别关注全球市场趋势分析。该报告旨在概述供应链市场中的人工智能,并按组件、技术、应用程序、行业垂直和地理位置进行详细的市场细分。全球供应链市场人工智能预计在预测期内将出现高速增长。该报告提供了供应链市场参与者中领先人工智能的市场状况的关键统计数据,并提供了市场的主要趋势和机会。
市场细分
全球供应链人工智能市场按照组件、技术、应用和行业垂直进行细分。根据组件,市场分为处理器、内存、人工智能平台和服务。从技术角度来看,供应链市场的人工智能分为自然语言处理(NLP)、机器学习和认知计算。供应链市场中的人工智能根据应用分为仓库管理、车队管理、货运经纪、虚拟助理等。从行业垂直角度来看,供应链市场人工智能细分为医药、制造、汽车、食品和医疗等。饮料、航空航天等。
Artificial Intelligence in Supply Chain Market: Strategic Insights
-
CAGR (2023 - 2031)XX% -
Market Size 2023
US$ XX million -
Market Size 2031
US$ XX Million
Report Coverage
- Market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- Key future trends
- Detailed PEST/Porter’s Five Forces and SWOT analysis
- Industry landscape and competition analysis & recent developments
- Detailed company profiles
- Global and regional market analysis covering key market trends, major players, regulations, and recent market developments
Key Players
- C H Robinson Worldwide Inc
- Epicor Software Corporation
- IBM Corporation
- Logility
- Microsoft Corporation
- NVIDIA Corporation
- Oracle Corporation
- SAP SE
- Samsung
Regional Overview
- 北美
- 欧洲
- 亚太地区
- 南美洲和中美洲
- 中东和非洲
Market Segmentation
- 处理器
- 内存
- AI 平台
- 服务
- 自然语言处理
- 仓库管理
- 车队管理
- 货运经纪
- 虚拟助理
- 其他
- 制药
- 制造
- 汽车
- 食品和饮料
- 航空航天等
该报告提供了该行业的详细概述,包括定性和定量信息。它根据各个细分市场提供了全球供应链人工智能市场的概述和预测。它还提供了 2021 年至 2031 年五个主要地区的市场规模和预测估计,即:北美、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 以及南美和非洲中美洲。每个地区的供应链市场人工智能随后按各自的国家和细分市场进行细分。报告涵盖了全球18个国家的分析和预测,以及该地区当前的趋势和机遇。
报告从需求和供应两个方面分析了影响供应链市场人工智能的因素,并分析了影响供应链市场人工智能的因素。进一步评估预测期内影响市场的市场动态,即驱动因素、限制因素、机会和未来趋势。该报告还为所有五个地区提供了详尽的 PEST 分析,即:北美、欧洲、亚太地区、中东和非洲以及南美洲和南美洲中美洲在评估影响这些地区供应链人工智能的政治、经济、社会和技术因素后。
市场参与者
报告涵盖了供应链市场人工智能的主要发展,包括有机和无机增长战略。许多公司都专注于有机增长战略,例如产品发布、产品批准以及专利和活动等其他战略。市场上见证的无机增长战略活动包括收购、合作伙伴关系和合作伙伴关系。合作。这些活动为市场参与者扩大业务和客户群铺平了道路。随着全球市场对供应链人工智能的需求不断增长,供应链市场人工智能的市场支付者预计未来将获得利润丰厚的增长机会。以下是几家从事供应链人工智能市场的公司名单。
报告还包括主要公司的概况、SWOT 分析和供应链人工智能市场策略市场。此外,报告重点关注领先的行业参与者,提供公司简介、提供的产品和服务、过去三年的财务信息、过去五年的重点发展等信息。
- CH Robinson Worldwide, Inc.
- Epicor Software Corporation
- IBM Corporation
- Logility。
-   ;微软公司
- NVIDIA公司
- 甲骨文公司
- SAP SE
- 三星
- Xilinx Inc.
Artificial Intelligence in Supply Chain Market Report Scope
Report Attribute | Details |
---|---|
Market size in | US$ XX million |
Market Size by | US$ XX Million |
Global CAGR | XX% |
Historical Data | 2021-2022 |
Forecast period | 2024-2031 |
Segments Covered |
By 组件
|
Regions and Countries Covered |
北美
|
Market leaders and key company profiles |
|
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. C. H. Robinson Worldwide Inc.
2. Epicor Software Corporation
3. IBM Corporation
4. Logility
5. Microsoft Corporation
6. NVIDIA Corporation
7. Oracle Corporation
8. SAP SE
9. Samsung
10. Xilinx Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.