Artificial Intelligence in Supply Chain Market Opportunities 2031
The artificial intelligence helps the businesses to manage all supply chain related functions efficiently and boost both top-line and bottom-line values. Therefore, the need to plan and control supply chain business, advanced technologies such as machine learning plays a significant role. The supply chain professionals can make optimal decisions based on proper analysis of big data sets.
MARKET DYNAMICS
Increase in the adoption rate of AI to enhance the customer satisfaction level and streamline all supply chain related business. Besides, the driving factors, artificial intelligence in supply chain market also presents several opportunities to the players, such as, increase in the urge to improvise operational efficiency and productivity in the manufacturing area of fields, rise in the cloud-based supply chain solutions are some of the factors which are anticipated to benefit the artificial intelligence in supply chain market in the coming period.
MARKET SCOPE
The "Global Artificial Intelligence in Supply Chain Market Analysis to 2031" is a specialized and in-depth study of the technology, media and telecommunication industry with a special focus on the global market trend analysis. The report aims to provide an overview of the Artificial Intelligence in Supply Chain market with detailed market segmentation by components, technology, application, and industry vertical, and geography. The global artificial intelligence in supply chain market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading artificial intelligence in supply chain market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global artificial intelligence in supply chain market is segmented on the basis of components, technology, application, and industry vertical. Based on components, the market is segmented into processors, memory, AI platforms, and services. On the basis of technology, the artificial intelligence in supply chain market is segmented into natural language processing (NLP), machine learning, and cognitive computing. The artificial intelligence in supply chain market on the basis of the application is classified into warehouse management, fleet management, freight brokerage, virtual assistant, and others. On the basis of industry vertical, the artificial intelligence in supply chain market is segmented into pharmaceutical, manufacturing, automotive, food & beverages, aerospace, and others.
REGIONAL FRAMEWORKThe report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Supply Chain market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Supply Chain market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the Artificial Intelligence in Supply Chain market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South & Central America after evaluating political, economic, social and technological factors affecting the Artificial Intelligence in Supply Chain in these regions.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Supply Chain market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Supply Chain market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the Artificial Intelligence in Supply Chain market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South & Central America after evaluating political, economic, social and technological factors affecting the Artificial Intelligence in Supply Chain in these regions.
MARKET PLAYERSThe reports cover key developments in the artificial intelligence in supply chain market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from Artificial Intelligence in Supply Chain market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence in supply chain in the global market. Below mentioned is the list of few companies engaged in the artificial intelligence in supply chain market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence in supply chain market. In addition, the report focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, the key development in the past five years.
- C.H. Robinson Worldwide, Inc.
- Epicor Software Corporation
- IBM Corporation
- Logility.
- Microsoft Corporation
- NVIDIA Corporation
- Oracle Corporation
- SAP SE
- Samsung
- Xilinx Inc.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
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.INTRODUCTION
1.1.SCOPE OF THE STUDY
1.2.THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3.MARKET SEGMENTATION
1.3.1Artificial Intelligence In Supply Chain Market - By Components
1.3.2Artificial Intelligence In Supply Chain Market - By Technology
1.3.3Artificial Intelligence In Supply Chain Market - By Application
1.3.4Artificial Intelligence In Supply Chain Market - By Industry Vertical
1.3.5Artificial Intelligence In Supply Chain Market - By Region
1.3.5.1By Country
2.KEY TAKEAWAYS
3.RESEARCH METHODOLOGY
4.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET LANDSCAPE
4.1.OVERVIEW
4.2.PEST ANALYSIS
4.2.1North America - Pest Analysis
4.2.2Europe - Pest Analysis
4.2.3Asia-Pacific - Pest Analysis
4.2.4Middle East and Africa - Pest Analysis
4.2.5South and Central America - Pest Analysis
4.3.ECOSYSTEM ANALYSIS
4.4.EXPERT OPINIONS
5.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - KEY MARKET DYNAMICS
5.1.KEY MARKET DRIVERS
5.2.KEY MARKET RESTRAINTS
5.3.KEY MARKET OPPORTUNITIES
5.4.FUTURE TRENDS
5.5.IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - GLOBAL MARKET ANALYSIS
6.1.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN - GLOBAL MARKET OVERVIEW
6.2.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN - GLOBAL MARKET AND FORECAST TO 2028
6.3.MARKET POSITIONING/MARKET SHARE
7.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENTS
7.1.OVERVIEW
7.2.COMPONENTS MARKET FORECASTS AND ANALYSIS
7.3.PROCESSORS
7.3.1.Overview
7.3.2.Processors Market Forecast and Analysis
7.4.MEMORY
7.4.1.Overview
7.4.2.Memory Market Forecast and Analysis
7.5.AI PLATFORMS
7.5.1.Overview
7.5.2.AI Platforms Market Forecast and Analysis
7.6.SERVICES
7.6.1.Overview
7.6.2.Services Market Forecast and Analysis
8.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - REVENUE AND FORECASTS TO 2028 - TECHNOLOGY
8.1.OVERVIEW
8.2.TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3.NATURAL LANGUAGE PROCESSING (NLP)
8.3.1.Overview
8.3.2.Natural Language Processing (NLP) Market Forecast and Analysis
8.4.MACHINE LEARNING
8.4.1.Overview
8.4.2.Machine Learning Market Forecast and Analysis
8.5.COGNITIVE COMPUTING
8.5.1.Overview
8.5.2.Cognitive Computing Market Forecast and Analysis
9.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
9.1.OVERVIEW
9.2.APPLICATION MARKET FORECASTS AND ANALYSIS
9.3.WAREHOUSE MANAGEMENT
9.3.1.Overview
9.3.2.Warehouse Management Market Forecast and Analysis
9.4.FLEET MANAGEMENT
9.4.1.Overview
9.4.2.Fleet Management Market Forecast and Analysis
9.5.FREIGHT BROKERAGE
9.5.1.Overview
9.5.2.Freight Brokerage Market Forecast and Analysis
9.6.VIRTUAL ASSISTANT
9.6.1.Overview
9.6.2.Virtual Assistant Market Forecast and Analysis
9.7.OTHERS
9.7.1.Overview
9.7.2.Others Market Forecast and Analysis
10.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET - REVENUE AND FORECASTS TO 2028 - INDUSTRY VERTICAL
10.1.OVERVIEW
10.2.INDUSTRY VERTICAL MARKET FORECASTS AND ANALYSIS
10.3.PHARMACEUTICAL
10.3.1.Overview
10.3.2.Pharmaceutical Market Forecast and Analysis
10.4.MANUFACTURING
10.4.1.Overview
10.4.2.Manufacturing Market Forecast and Analysis
10.5.AUTOMOTIVE
10.5.1.Overview
10.5.2.Automotive Market Forecast and Analysis
10.6.FOOD AND BEVERAGES
10.6.1.Overview
10.6.2.Food and Beverages Market Forecast and Analysis
10.7.AEROSPACE
10.7.1.Overview
10.7.2.Aerospace Market Forecast and Analysis
10.8.OTHERS
10.8.1.Overview
10.8.2.Others Market Forecast and Analysis
11.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1.NORTH AMERICA
11.1.1North America Artificial Intelligence In Supply Chain Market Overview
11.1.2North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis
11.1.3North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Components
11.1.4North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Technology
11.1.5North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Application
11.1.6North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Industry Vertical
11.1.7North America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Countries
11.1.7.1United States Artificial Intelligence In Supply Chain Market
11.1.7.1.1United States Artificial Intelligence In Supply Chain Market by Components
11.1.7.1.2United States Artificial Intelligence In Supply Chain Market by Technology
11.1.7.1.3United States Artificial Intelligence In Supply Chain Market by Application
11.1.7.1.4United States Artificial Intelligence In Supply Chain Market by Industry Vertical
11.1.7.2Canada Artificial Intelligence In Supply Chain Market
11.1.7.2.1Canada Artificial Intelligence In Supply Chain Market by Components
11.1.7.2.2Canada Artificial Intelligence In Supply Chain Market by Technology
11.1.7.2.3Canada Artificial Intelligence In Supply Chain Market by Application
11.1.7.2.4Canada Artificial Intelligence In Supply Chain Market by Industry Vertical
11.1.7.3Mexico Artificial Intelligence In Supply Chain Market
11.1.7.3.1Mexico Artificial Intelligence In Supply Chain Market by Components
11.1.7.3.2Mexico Artificial Intelligence In Supply Chain Market by Technology
11.1.7.3.3Mexico Artificial Intelligence In Supply Chain Market by Application
11.1.7.3.4Mexico Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.EUROPE
11.2.1Europe Artificial Intelligence In Supply Chain Market Overview
11.2.2Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis
11.2.3Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Components
11.2.4Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Technology
11.2.5Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Application
11.2.6Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Industry Vertical
11.2.7Europe Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Countries
11.2.7.1Germany Artificial Intelligence In Supply Chain Market
11.2.7.1.1Germany Artificial Intelligence In Supply Chain Market by Components
11.2.7.1.2Germany Artificial Intelligence In Supply Chain Market by Technology
11.2.7.1.3Germany Artificial Intelligence In Supply Chain Market by Application
11.2.7.1.4Germany Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.7.2France Artificial Intelligence In Supply Chain Market
11.2.7.2.1France Artificial Intelligence In Supply Chain Market by Components
11.2.7.2.2France Artificial Intelligence In Supply Chain Market by Technology
11.2.7.2.3France Artificial Intelligence In Supply Chain Market by Application
11.2.7.2.4France Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.7.3Italy Artificial Intelligence In Supply Chain Market
11.2.7.3.1Italy Artificial Intelligence In Supply Chain Market by Components
11.2.7.3.2Italy Artificial Intelligence In Supply Chain Market by Technology
11.2.7.3.3Italy Artificial Intelligence In Supply Chain Market by Application
11.2.7.3.4Italy Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.7.4United Kingdom Artificial Intelligence In Supply Chain Market
11.2.7.4.1United Kingdom Artificial Intelligence In Supply Chain Market by Components
11.2.7.4.2United Kingdom Artificial Intelligence In Supply Chain Market by Technology
11.2.7.4.3United Kingdom Artificial Intelligence In Supply Chain Market by Application
11.2.7.4.4United Kingdom Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.7.5Russia Artificial Intelligence In Supply Chain Market
11.2.7.5.1Russia Artificial Intelligence In Supply Chain Market by Components
11.2.7.5.2Russia Artificial Intelligence In Supply Chain Market by Technology
11.2.7.5.3Russia Artificial Intelligence In Supply Chain Market by Application
11.2.7.5.4Russia Artificial Intelligence In Supply Chain Market by Industry Vertical
11.2.7.6Rest of Europe Artificial Intelligence In Supply Chain Market
11.2.7.6.1Rest of Europe Artificial Intelligence In Supply Chain Market by Components
11.2.7.6.2Rest of Europe Artificial Intelligence In Supply Chain Market by Technology
11.2.7.6.3Rest of Europe Artificial Intelligence In Supply Chain Market by Application
11.2.7.6.4Rest of Europe Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.ASIA-PACIFIC
11.3.1Asia-Pacific Artificial Intelligence In Supply Chain Market Overview
11.3.2Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis
11.3.3Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Components
11.3.4Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Technology
11.3.5Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Application
11.3.6Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Industry Vertical
11.3.7Asia-Pacific Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Countries
11.3.7.1Australia Artificial Intelligence In Supply Chain Market
11.3.7.1.1Australia Artificial Intelligence In Supply Chain Market by Components
11.3.7.1.2Australia Artificial Intelligence In Supply Chain Market by Technology
11.3.7.1.3Australia Artificial Intelligence In Supply Chain Market by Application
11.3.7.1.4Australia Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.7.2China Artificial Intelligence In Supply Chain Market
11.3.7.2.1China Artificial Intelligence In Supply Chain Market by Components
11.3.7.2.2China Artificial Intelligence In Supply Chain Market by Technology
11.3.7.2.3China Artificial Intelligence In Supply Chain Market by Application
11.3.7.2.4China Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.7.3India Artificial Intelligence In Supply Chain Market
11.3.7.3.1India Artificial Intelligence In Supply Chain Market by Components
11.3.7.3.2India Artificial Intelligence In Supply Chain Market by Technology
11.3.7.3.3India Artificial Intelligence In Supply Chain Market by Application
11.3.7.3.4India Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.7.4Japan Artificial Intelligence In Supply Chain Market
11.3.7.4.1Japan Artificial Intelligence In Supply Chain Market by Components
11.3.7.4.2Japan Artificial Intelligence In Supply Chain Market by Technology
11.3.7.4.3Japan Artificial Intelligence In Supply Chain Market by Application
11.3.7.4.4Japan Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.7.5South Korea Artificial Intelligence In Supply Chain Market
11.3.7.5.1South Korea Artificial Intelligence In Supply Chain Market by Components
11.3.7.5.2South Korea Artificial Intelligence In Supply Chain Market by Technology
11.3.7.5.3South Korea Artificial Intelligence In Supply Chain Market by Application
11.3.7.5.4South Korea Artificial Intelligence In Supply Chain Market by Industry Vertical
11.3.7.6Rest of Asia-Pacific Artificial Intelligence In Supply Chain Market
11.3.7.6.1Rest of Asia-Pacific Artificial Intelligence In Supply Chain Market by Components
11.3.7.6.2Rest of Asia-Pacific Artificial Intelligence In Supply Chain Market by Technology
11.3.7.6.3Rest of Asia-Pacific Artificial Intelligence In Supply Chain Market by Application
11.3.7.6.4Rest of Asia-Pacific Artificial Intelligence In Supply Chain Market by Industry Vertical
11.4.MIDDLE EAST AND AFRICA
11.4.1Middle East and Africa Artificial Intelligence In Supply Chain Market Overview
11.4.2Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis
11.4.3Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Components
11.4.4Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Technology
11.4.5Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Application
11.4.6Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Industry Vertical
11.4.7Middle East and Africa Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Countries
11.4.7.1South Africa Artificial Intelligence In Supply Chain Market
11.4.7.1.1South Africa Artificial Intelligence In Supply Chain Market by Components
11.4.7.1.2South Africa Artificial Intelligence In Supply Chain Market by Technology
11.4.7.1.3South Africa Artificial Intelligence In Supply Chain Market by Application
11.4.7.1.4South Africa Artificial Intelligence In Supply Chain Market by Industry Vertical
11.4.7.2Saudi Arabia Artificial Intelligence In Supply Chain Market
11.4.7.2.1Saudi Arabia Artificial Intelligence In Supply Chain Market by Components
11.4.7.2.2Saudi Arabia Artificial Intelligence In Supply Chain Market by Technology
11.4.7.2.3Saudi Arabia Artificial Intelligence In Supply Chain Market by Application
11.4.7.2.4Saudi Arabia Artificial Intelligence In Supply Chain Market by Industry Vertical
11.4.7.3U.A.E Artificial Intelligence In Supply Chain Market
11.4.7.3.1U.A.E Artificial Intelligence In Supply Chain Market by Components
11.4.7.3.2U.A.E Artificial Intelligence In Supply Chain Market by Technology
11.4.7.3.3U.A.E Artificial Intelligence In Supply Chain Market by Application
11.4.7.3.4U.A.E Artificial Intelligence In Supply Chain Market by Industry Vertical
11.4.7.4Rest of Middle East and Africa Artificial Intelligence In Supply Chain Market
11.4.7.4.1Rest of Middle East and Africa Artificial Intelligence In Supply Chain Market by Components
11.4.7.4.2Rest of Middle East and Africa Artificial Intelligence In Supply Chain Market by Technology
11.4.7.4.3Rest of Middle East and Africa Artificial Intelligence In Supply Chain Market by Application
11.4.7.4.4Rest of Middle East and Africa Artificial Intelligence In Supply Chain Market by Industry Vertical
11.5.SOUTH AND CENTRAL AMERICA
11.5.1South and Central America Artificial Intelligence In Supply Chain Market Overview
11.5.2South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis
11.5.3South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Components
11.5.4South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Technology
11.5.5South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Application
11.5.6South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Industry Vertical
11.5.7South and Central America Artificial Intelligence In Supply Chain Market Forecasts and Analysis - By Countries
11.5.7.1Brazil Artificial Intelligence In Supply Chain Market
11.5.7.1.1Brazil Artificial Intelligence In Supply Chain Market by Components
11.5.7.1.2Brazil Artificial Intelligence In Supply Chain Market by Technology
11.5.7.1.3Brazil Artificial Intelligence In Supply Chain Market by Application
11.5.7.1.4Brazil Artificial Intelligence In Supply Chain Market by Industry Vertical
11.5.7.2Argentina Artificial Intelligence In Supply Chain Market
11.5.7.2.1Argentina Artificial Intelligence In Supply Chain Market by Components
11.5.7.2.2Argentina Artificial Intelligence In Supply Chain Market by Technology
11.5.7.2.3Argentina Artificial Intelligence In Supply Chain Market by Application
11.5.7.2.4Argentina Artificial Intelligence In Supply Chain Market by Industry Vertical
11.5.7.3Rest of South and Central America Artificial Intelligence In Supply Chain Market
11.5.7.3.1Rest of South and Central America Artificial Intelligence In Supply Chain Market by Components
11.5.7.3.2Rest of South and Central America Artificial Intelligence In Supply Chain Market by Technology
11.5.7.3.3Rest of South and Central America Artificial Intelligence In Supply Chain Market by Application
11.5.7.3.4Rest of South and Central America Artificial Intelligence In Supply Chain Market by Industry Vertical
12.INDUSTRY LANDSCAPE
12.1.MERGERS AND ACQUISITIONS
12.2.AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3.NEW PRODUCT LAUNCHES
12.4.EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
13.ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, KEY COMPANY PROFILES
13.1.C.H. ROBINSON WORLDWIDE INC.
13.1.1.Key Facts
13.1.2.Business Description
13.1.3.Products and Services
13.1.4.Financial Overview
13.1.5.SWOT Analysis
13.1.6.Key Developments
13.2.EPICOR SOFTWARE CORPORATION
13.2.1.Key Facts
13.2.2.Business Description
13.2.3.Products and Services
13.2.4.Financial Overview
13.2.5.SWOT Analysis
13.2.6.Key Developments
13.3.IBM CORPORATION
13.3.1.Key Facts
13.3.2.Business Description
13.3.3.Products and Services
13.3.4.Financial Overview
13.3.5.SWOT Analysis
13.3.6.Key Developments
13.4.LOGILITY
13.4.1.Key Facts
13.4.2.Business Description
13.4.3.Products and Services
13.4.4.Financial Overview
13.4.5.SWOT Analysis
13.4.6.Key Developments
13.5.MICROSOFT CORPORATION
13.5.1.Key Facts
13.5.2.Business Description
13.5.3.Products and Services
13.5.4.Financial Overview
13.5.5.SWOT Analysis
13.5.6.Key Developments
13.6.NVIDIA CORPORATION
13.6.1.Key Facts
13.6.2.Business Description
13.6.3.Products and Services
13.6.4.Financial Overview
13.6.5.SWOT Analysis
13.6.6.Key Developments
13.7.ORACLE CORPORATION
13.7.1.Key Facts
13.7.2.Business Description
13.7.3.Products and Services
13.7.4.Financial Overview
13.7.5.SWOT Analysis
13.7.6.Key Developments
13.8.SAP SE
13.8.1.Key Facts
13.8.2.Business Description
13.8.3.Products and Services
13.8.4.Financial Overview
13.8.5.SWOT Analysis
13.8.6.Key Developments
13.9.SAMSUNG
13.9.1.Key Facts
13.9.2.Business Description
13.9.3.Products and Services
13.9.4.Financial Overview
13.9.5.SWOT Analysis
13.9.6.Key Developments
13.10.XILINX INC.
13.10.1.Key Facts
13.10.2.Business Description
13.10.3.Products and Services
13.10.4.Financial Overview
13.10.5.SWOT Analysis
13.10.6.Key Developments
14.APPENDIX
14.1.ABOUT THE INSIGHT PARTNERS
14.2.GLOSSARY OF TERMS
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 many reports and advised several clients 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 organizations 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 the 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/Sales 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.
- 3.1 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.
- 3.2 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.
- 3.3 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.
- 3.4 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.
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