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Supply Chain Big Data Analytics-Global Market Insights and Sales Trends 2025
Synopsis
Supply Chain is one of the key aspects of a business. Though the product quality and development time are well managed, a supply chain is the one that delivers it to the end user. A lot of aspects affect the efficiency of the supply chain. Taking into consideration each and every factor and analyzing them to ensure effective supply chain management is a challenging task. Big Data is the key to bring various views on factors that retard effective supply chain system.
The global Supply Chain Big Data Analytics market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Supply Chain Big Data Analytics in various end use industries. The expanding demands from the Retail, Healthcare, Transportation & logistics and Manufacturing, are propelling Supply Chain Big Data Analytics market. On-Premise Supply Chain Big Data Analytics, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the On-Cloud Supply Chain Big Data Analytics segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Supply Chain Big Data Analytics market, driven by demand from China, the second largest economy with some signs of stabilising, the Supply Chain Big Data Analytics market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Supply Chain Big Data Analytics, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Supply Chain Big Data Analytics market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Supply Chain Big Data Analytics market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Supply Chain Big Data Analytics sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Supply Chain Big Data Analytics covered in this report include Accenture, IBM, Google Inc, Hewlett-Packard Company, SAP SE, Intel Corp, Tata Consultancy Services, SAS Institute Inc. and Oracle Corporation, etc.
The global Supply Chain Big Data Analytics market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Accenture
IBM
Google Inc
Hewlett-Packard Company
SAP SE
Intel Corp
Tata Consultancy Services
SAS Institute Inc.
Oracle Corporation
Sage Clarity Systems
Kinaxis
MicroStrategy Inc
Genpact Ltd
Capgemini Group
Birst, Inc
Tableau
Global Supply Chain Big Data Analytics market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Supply Chain Big Data Analytics market, Segment by Type:
On-Premise Supply Chain Big Data Analytics
On-Cloud Supply Chain Big Data Analytics
Global Supply Chain Big Data Analytics market, by Application
Retail
Healthcare
Transportation & logistics
Manufacturing
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Supply Chain Big Data Analytics companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Supply Chain is one of the key aspects of a business. Though the product quality and development time are well managed, a supply chain is the one that delivers it to the end user. A lot of aspects affect the efficiency of the supply chain. Taking into consideration each and every factor and analyzing them to ensure effective supply chain management is a challenging task. Big Data is the key to bring various views on factors that retard effective supply chain system.
The global Supply Chain Big Data Analytics market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Supply Chain Big Data Analytics in various end use industries. The expanding demands from the Retail, Healthcare, Transportation & logistics and Manufacturing, are propelling Supply Chain Big Data Analytics market. On-Premise Supply Chain Big Data Analytics, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the On-Cloud Supply Chain Big Data Analytics segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Supply Chain Big Data Analytics market, driven by demand from China, the second largest economy with some signs of stabilising, the Supply Chain Big Data Analytics market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Supply Chain Big Data Analytics, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Supply Chain Big Data Analytics market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Supply Chain Big Data Analytics market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Supply Chain Big Data Analytics sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Supply Chain Big Data Analytics covered in this report include Accenture, IBM, Google Inc, Hewlett-Packard Company, SAP SE, Intel Corp, Tata Consultancy Services, SAS Institute Inc. and Oracle Corporation, etc.
The global Supply Chain Big Data Analytics market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Accenture
IBM
Google Inc
Hewlett-Packard Company
SAP SE
Intel Corp
Tata Consultancy Services
SAS Institute Inc.
Oracle Corporation
Sage Clarity Systems
Kinaxis
MicroStrategy Inc
Genpact Ltd
Capgemini Group
Birst, Inc
Tableau
Global Supply Chain Big Data Analytics market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Supply Chain Big Data Analytics market, Segment by Type:
On-Premise Supply Chain Big Data Analytics
On-Cloud Supply Chain Big Data Analytics
Global Supply Chain Big Data Analytics market, by Application
Retail
Healthcare
Transportation & logistics
Manufacturing
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Supply Chain Big Data Analytics companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Supply Chain Big Data Analytics
1.1 Supply Chain Big Data Analytics Market Overview
1.1.1 Supply Chain Big Data Analytics Product Scope
1.1.2 Supply Chain Big Data Analytics Market Status and Outlook
1.2 Global Supply Chain Big Data Analytics Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Supply Chain Big Data Analytics Market Size by Region (2018-2029)
1.4 Global Supply Chain Big Data Analytics Historic Market Size by Region (2018-2023)
1.5 Global Supply Chain Big Data Analytics Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Supply Chain Big Data Analytics Market Size (2018-2029)
1.6.1 North America Supply Chain Big Data Analytics Market Size (2018-2029)
1.6.2 Europe Supply Chain Big Data Analytics Market Size (2018-2029)
1.6.3 Asia-Pacific Supply Chain Big Data Analytics Market Size (2018-2029)
1.6.4 Latin America Supply Chain Big Data Analytics Market Size (2018-2029)
1.6.5 Middle East & Africa Supply Chain Big Data Analytics Market Size (2018-2029)
2 Supply Chain Big Data Analytics Market by Type
2.1 Introduction
2.1.1 On-Premise Supply Chain Big Data Analytics
2.1.2 On-Cloud Supply Chain Big Data Analytics
2.2 Global Supply Chain Big Data Analytics Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Supply Chain Big Data Analytics Historic Market Size by Type (2018-2023)
2.2.2 Global Supply Chain Big Data Analytics Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Supply Chain Big Data Analytics Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Supply Chain Big Data Analytics Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Supply Chain Big Data Analytics Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Supply Chain Big Data Analytics Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Supply Chain Big Data Analytics Revenue Breakdown by Type (2018-2029)
3 Supply Chain Big Data Analytics Market Overview by Application
3.1 Introduction
3.1.1 Retail
3.1.2 Healthcare
3.1.3 Transportation & logistics
3.1.4 Manufacturing
3.1.5 Others
3.2 Global Supply Chain Big Data Analytics Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Supply Chain Big Data Analytics Historic Market Size by Application (2018-2023)
3.2.2 Global Supply Chain Big Data Analytics Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Supply Chain Big Data Analytics Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Supply Chain Big Data Analytics Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Supply Chain Big Data Analytics Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Supply Chain Big Data Analytics Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Supply Chain Big Data Analytics Revenue Breakdown by Application (2018-2029)
4 Supply Chain Big Data Analytics Competition Analysis by Players
4.1 Global Supply Chain Big Data Analytics Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Supply Chain Big Data Analytics as of 2022)
4.3 Date of Key Players Enter into Supply Chain Big Data Analytics Market
4.4 Global Top Players Supply Chain Big Data Analytics Headquarters and Area Served
4.5 Key Players Supply Chain Big Data Analytics Product Solution and Service
4.6 Competitive Status
4.6.1 Supply Chain Big Data Analytics Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Accenture
5.1.1 Accenture Profile
5.1.2 Accenture Main Business
5.1.3 Accenture Supply Chain Big Data Analytics Products, Services and Solutions
5.1.4 Accenture Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.1.5 Accenture Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM Supply Chain Big Data Analytics Products, Services and Solutions
5.2.4 IBM Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Google Inc
5.3.1 Google Inc Profile
5.3.2 Google Inc Main Business
5.3.3 Google Inc Supply Chain Big Data Analytics Products, Services and Solutions
5.3.4 Google Inc Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.3.5 Hewlett-Packard Company Recent Developments
5.4 Hewlett-Packard Company
5.4.1 Hewlett-Packard Company Profile
5.4.2 Hewlett-Packard Company Main Business
5.4.3 Hewlett-Packard Company Supply Chain Big Data Analytics Products, Services and Solutions
5.4.4 Hewlett-Packard Company Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.4.5 Hewlett-Packard Company Recent Developments
5.5 SAP SE
5.5.1 SAP SE Profile
5.5.2 SAP SE Main Business
5.5.3 SAP SE Supply Chain Big Data Analytics Products, Services and Solutions
5.5.4 SAP SE Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.5.5 SAP SE Recent Developments
5.6 Intel Corp
5.6.1 Intel Corp Profile
5.6.2 Intel Corp Main Business
5.6.3 Intel Corp Supply Chain Big Data Analytics Products, Services and Solutions
5.6.4 Intel Corp Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.6.5 Intel Corp Recent Developments
5.7 Tata Consultancy Services
5.7.1 Tata Consultancy Services Profile
5.7.2 Tata Consultancy Services Main Business
5.7.3 Tata Consultancy Services Supply Chain Big Data Analytics Products, Services and Solutions
5.7.4 Tata Consultancy Services Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.7.5 Tata Consultancy Services Recent Developments
5.8 SAS Institute Inc.
5.8.1 SAS Institute Inc. Profile
5.8.2 SAS Institute Inc. Main Business
5.8.3 SAS Institute Inc. Supply Chain Big Data Analytics Products, Services and Solutions
5.8.4 SAS Institute Inc. Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.8.5 SAS Institute Inc. Recent Developments
5.9 Oracle Corporation
5.9.1 Oracle Corporation Profile
5.9.2 Oracle Corporation Main Business
5.9.3 Oracle Corporation Supply Chain Big Data Analytics Products, Services and Solutions
5.9.4 Oracle Corporation Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.9.5 Oracle Corporation Recent Developments
5.10 Sage Clarity Systems
5.10.1 Sage Clarity Systems Profile
5.10.2 Sage Clarity Systems Main Business
5.10.3 Sage Clarity Systems Supply Chain Big Data Analytics Products, Services and Solutions
5.10.4 Sage Clarity Systems Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.10.5 Sage Clarity Systems Recent Developments
5.11 Kinaxis
5.11.1 Kinaxis Profile
5.11.2 Kinaxis Main Business
5.11.3 Kinaxis Supply Chain Big Data Analytics Products, Services and Solutions
5.11.4 Kinaxis Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.11.5 Kinaxis Recent Developments
5.12 MicroStrategy Inc
5.12.1 MicroStrategy Inc Profile
5.12.2 MicroStrategy Inc Main Business
5.12.3 MicroStrategy Inc Supply Chain Big Data Analytics Products, Services and Solutions
5.12.4 MicroStrategy Inc Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.12.5 MicroStrategy Inc Recent Developments
5.13 Genpact Ltd
5.13.1 Genpact Ltd Profile
5.13.2 Genpact Ltd Main Business
5.13.3 Genpact Ltd Supply Chain Big Data Analytics Products, Services and Solutions
5.13.4 Genpact Ltd Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.13.5 Genpact Ltd Recent Developments
5.14 Capgemini Group
5.14.1 Capgemini Group Profile
5.14.2 Capgemini Group Main Business
5.14.3 Capgemini Group Supply Chain Big Data Analytics Products, Services and Solutions
5.14.4 Capgemini Group Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.14.5 Capgemini Group Recent Developments
5.15 Birst, Inc
5.15.1 Birst, Inc Profile
5.15.2 Birst, Inc Main Business
5.15.3 Birst, Inc Supply Chain Big Data Analytics Products, Services and Solutions
5.15.4 Birst, Inc Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.15.5 Birst, Inc Recent Developments
5.16 Tableau
5.16.1 Tableau Profile
5.16.2 Tableau Main Business
5.16.3 Tableau Supply Chain Big Data Analytics Products, Services and Solutions
5.16.4 Tableau Supply Chain Big Data Analytics Revenue (US$ Million) & (2018-2023)
5.16.5 Tableau Recent Developments
6 North America
6.1 North America Supply Chain Big Data Analytics Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Supply Chain Big Data Analytics Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Supply Chain Big Data Analytics Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Supply Chain Big Data Analytics Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Supply Chain Big Data Analytics Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Supply Chain Big Data Analytics Market Dynamics
11.1 Supply Chain Big Data Analytics Industry Trends
11.2 Supply Chain Big Data Analytics Market Drivers
11.3 Supply Chain Big Data Analytics Market Challenges
11.4 Supply Chain Big Data Analytics Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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