Supply Chain Analytics Market

Supply Chain Analytics Market by Software (Supplier Performance Analytics, Demand Analysis and Forecasting, and Inventory Analytics), Services, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

Report Code: TC 3188 Sep, 2019, by marketsandmarkets.com

[163 Pages Report] The supply chain analytics market size is expected to grow from USD 3.6 billion in 2018 to USD 7.1 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 14.6% during the forecast period. Increasing volume and velocity of data, need to enhance operational and supply chain efficiencies, and advent of Artificial Intelligence (AI) and machine learning into supply chain management would drive the market growth. However, data security issues and inaccuracies in data sets are expected to restrain the market growth. Factors such as increasing adoption of cloud-based supply chain analytics and increasing awareness of supply chain analytics tools among organizations would create opportunities.

Supply Chain Analytics Market

Selected Market Dynamics in Supply Chain Analytics Market

Advent of AI and machine learning into supply chain management

The sudden increase in the exchange of trade and capital around the world which is driven by technological innovation has propelled the supply chain analytics market growth. Moreover, increased infusion of AI and machine learning layers within the enterprise database to perform complex human tasks has further amplified the deployment of supply chain analytics within enterprises. These solutions help companies leverage the advantage of data using advanced analytics platforms. The inclusion of AI into numerous media applications offers a seemingly better competitive advantage to the content developers and distributors at large scale than their peers that are still heavily depending on the traditional practices. Supplier selection and sourcing from the right suppliers is a growing concern for enhancing supply chain sustainability, corporate social responsibility, and supply chain ethics. The supply chain analytics solutions provide enterprises with benefits, such as anticipating accuracy and significant processing of data to overcome these challenges. Moreover, with the help of machine learning and intelligible algorithms, the passive data gathering could be made active.

Inaccuracies in data sets

The rise of big data across industry verticals has helped companies analyze data sets to make strategic decisions. However, inaccuracies among data sets are the major concerns by data scientists across the globe. Inaccuracies, missing information, or outdated data among data sets could potentially topple the whole purpose of implementing a proper supply chain analytics initiative by the company. According to IBM, bad data, which consists of inconsistent, obsolete, and irrelevant data, resulted in a whopping loss of USD 3.1 trillion annually to the US economy. Salesforce also concurred that around 91% of the data in an organization’s Customer Relationship Management CRM) is incomplete and 70% of that data every year becomes obsolete or irrelevant.

Analytics workflows include predictive and prescriptive data modeling. The predictive and prescriptive analytics predicts and prescribes future outcomes by analyzing past data, events, and behaviors to generate powerful insights that are instrumental to enterprises for future use. With the inaccuracy among data sets, the trends obtained by analytics models could not be aligned with future trends. Hence, inaccuracies within data sets act as a major restraint in this market.

Software segment to constitute a larger market size during the forecast period 

The supply chain analytics market by component covers software and services. The software segment outperforms the services segment and would see maturation in the future due to the higher adoption of software. The demand for software, such as inventory analytics, demand analysis and forecasting, and supplier performance analytics, would drive the market growth.

Demand analysis and forecasting segment to grow at the highest CAGR during the forecast period

Demand analysis and forecasting is one of the major software in the supply chain analytics market that helps companies forecast the future demands for a product through historical data analysis. Demand forecasting helps the company manage inventory levels during peaks and troughs, thereby ensuring the products are not overstocked or understocked. The demand analysis and forecasting software facilitates businesses to boost their service levels, shorten cycle times, reduce inventory investment, and minimize obsolescence.

Cloud deployment model to grow at a higher CAGR during the forecast period

The cloud deployment model is expected to grow at a higher CAGR during the forecast period. Cloud-based solutions are gaining a firm hold in the market due to various benefits, such as cost control, resource pooling, and less implementation time.

Supply Chain Analytics Market

North America to account for the largest market size during the forecast period

The global supply chain analytics market by region covers 5 major geographic regions: North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to account for the largest market size during the forecast period. North America is expected to hold the highest market share and dominate the market from 2018 to 2023, due to the presence of a large number of solution vendors in the US. The APAC region is witnessing significant growth opportunities, owing to growing technology expenditures in major countries, such as Japan, China, and India, and the demand for cost-effective analytical software and services among Small and Medium-sized Enterprises (SMEs).

Key Supply Chain Analytics Market Players

The market comprises major solution providers, such as SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Software AG (Germany), MicroStrategy (US), Tableau (US), Qlik (US), TIBCO (US), Cloudera (US), Logility (US), Savi Technology (US),Infor (US), RELEX Solutions (Finland), TARGIT(Denmark), Voxware (US), The AnyLogic Company(US), Antuit(US), Axway (US), AIMMS (Netherlands), BRIDGEi2i(India), Domo (US), Datameer (US), 1010data(US), Rosslyn Analytics(UK).

The study includes an in-depth competitive analysis of these key players in the supply chain analytics market with their company profiles, recent developments, and key market strategies.

Scope of the Report

Report Metric

Details

Market size available for years

2016–2023

Base year considered

2017

Forecast period

2018–2023

Forecast units

Million (USD)

Segments covered

Software, Services, Deployment Models, Organization Size, Industry Verticals, and Regions

Geographies covered

North America, APAC, Europe, Latin America, and MEA

Companies covered

 

SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Software AG (Germany), MicroStrategy (US), Tableau (US), Qlik (US), TIBCO (US), Cloudera (US), Logility (US), Savi Technology (US), Infor (US), RELEX Solutions (Finland), TARGIT (Denmark), Voxware (US), The AnyLogic Company(US), Antuit(US), Axway (US), AIMMS (Netherlands), BRIDGEi2i (India), Domo (US), Datameer (US), 1010data(US), Rosslyn Analytics(UK).

This research report categorizes the supply chain analytics market based on software, services, deployment models, organization size, industry verticals, and regions.

Based on software, the supply chain analytics market has been segmented as follows:

  • Demand analysis and forecasting
  • Supplier performance analytics
  • Spend and procurement analytics
  • Inventory analytics
  • Transportation and logistics analytics

Based on services, the market has been segmented as follows:

  • Managed services
  • Professional services
    • Consulting services
    • Support and maintenance services
    • Deployment and integration services

Based on deployment models, the supply chain analytics market has been segmented as follows:

  • On-premises
  • Cloud

Based on organization size, the market has been segmented as follows:

  • Large enterprises
  • Small and Medium-sized Enterprises (SMEs)

Based on industry verticals, the supply chain analytics market has been segmented as follows:

  • Automotive
  • Retail and consumer goods
  • F&B manufacturing
  • Machinery and industrial equipment manufacturing
  • Pharmaceuticals
  • Government
  • Energy and utilities

Based on regions, the supply chain analytics market has been segmented as follows:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • APAC
    • India
    • Japan
    • China
    • Rest of APAC
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
  • MEA
    • Middle East
    • Africa

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players up to 5

Key Questions addressed by the report:

  • What are the opportunities in the supply chain analytics market?
  • What is the competitive landscape in the market?
  • What are the emerging technologies impacting the overall market?
  • What are the key use cases existing in the market?
  • What are the key trends and dynamics existing in the market?

Table of Contents

1 Introduction (Page No. - 19)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Market Segmentation
           1.3.2 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology (Page No. - 23)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primary Profiles
                    2.1.2.2 Key Industry Insights
    2.2 Market Breakup and Data Triangulation
    2.3 Market Size Estimation
           2.3.1 Bottom-Up Approach
           2.3.2 Top-Down Approach
    2.4 Market Forecast
    2.5 Assumptions for the Study
    2.6 Limitations of the Study

3 Executive Summary (Page No. - 30)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Opportunities in the Supply Chain Analytics Market
    4.2 Market Share, By Component
    4.3 Market By Deployment Model
    4.4 Market By Industry Vertical
    4.5 Market By Region

5 Market Overview (Page No. - 37)
    5.1 Introduction
           5.1.1 Drivers
                    5.1.1.1 Increasing Volume and Velocity of Data
                    5.1.1.2 Need to Enhance Operational and Supply Chain Efficiencies
                    5.1.1.3 Advent of AI and Machine Learning Into Supply Chain Management
           5.1.2 Restraints
                    5.1.2.1 Growing Concerns for Data Security Across Enterprises
                    5.1.2.2 Inaccuracies in Data Sets
           5.1.3 Opportunities
                    5.1.3.1 Increasing Adoption of Cloud-Based Supply Chain Analytics
                    5.1.3.2 Increasing Awareness Toward the Adoption of Supply Chain Solutions
           5.1.4 Challenges
                    5.1.4.1 Lack of Skilled Personnel
                    5.1.4.2 Reluctance to Adopt Advanced Analytical Technologies
    5.2 Industry Trends
           5.2.1 Technology Types
           5.2.2 Supply Chain Analytics: Use Cases
                    5.2.2.1 Use Case #1: Optimizing Inventory Management
                    5.2.2.2 Use Case #2: Identifying Out-Of-Stock Instances
                    5.2.2.3 Use Case #3: Improve the Distribution of Products to the Target Audiences
           5.2.3 Analytics Types
           5.2.4 Ecosystem

6 Supply Chain Analytics Market By Software (Page No. - 45)
    6.1 Introduction
    6.2 Demand Analysis and Forecasting
           6.2.1 Advancements in Machine Learning and Artificial Intelligence to Accelerate the Adoption for Demand Analysis and Forecasting Software
    6.3 Supplier Performance Analytics
           6.3.1 Need for A Unified Account of Suppliers to Drive the Market Growth
    6.4 Spend and Procurement Analytics
           6.4.1 Need for Better Control Over Expenditures to Trigger the Growth of the Spend and Procurement Analytics Software
    6.5 Inventory Analytics
           6.5.1 Need for Managing Inventory Levels During Peaks and Troughs to Trigger the Unprecedented Growth of the Inventory Analytics Software
    6.6 Transportation and Logistics Analytics
           6.6.1 Gaining Real-Time Visibility Into Global and Domestic Shipping and Executing Transportation Plans Seamlessly to Propel the Growth of the Transportation and Logistics Analytics Software

7 Supply Chain Analytics Market By Service (Page No. - 52)
    7.1 Introduction
    7.2 Managed Services
           7.2.1 Post Deployment of Software, the Need for Cost-Effective Services Drives the Managed Services Market
    7.3 Professional Services
           7.3.1 Consulting Services
                    7.3.1.1 Need for Enhancing the Strategic Outlook of Organizations to Drive the Growth of the Consulting Services Segment
           7.3.2 Support and Maintenance Services
                    7.3.2.1 Initial Need for Support and Maintenance During Pre-Installation and Post-Installation to Trigger the Growth of Support and Maintenance Services
           7.3.3 Deployment and Integration Services
                    7.3.3.1 Need for Integrating Advanced Analytical Solutions With Existing/Traditional Services to Drive the Growth of Deployment and Integration Services

8 Supply Chain Analytics Market By Deployment Model (Page No. - 59)
    8.1 Introduction
    8.2 On-Premises
           8.2.1 Need for Better Control Over Confidential Data to Propel the Adoption of On-Premises Solutions
    8.3 Cloud
           8.3.1 Focus on Improved Agility and Return on Investment to Drive the Adoption of the Cloud Deployment Model

9 Supply Chain Analytics Market By Organization Size (Page No. - 63)
    9.1 Introduction
    9.2 Small and Medium-Sized Enterprises
           9.2.1 Small and Medium-Sized Enterprises to Adopt the Pay-As-You-Go Model to Flexibly Manage the IT Infrastructure as Per Their Requirements
    9.3 Large Enterprises
           9.3.1 Supply Chain Analytics to Help Large Organizations Reduce Infrastructure Costs, Improve Business Functioning, and Sustain Intense Competition

10 Supply Chain Analytics Market By Industry Vertical (Page No. - 67)
     10.1 Introduction
     10.2 Automotive
             10.2.1 Advance Research Taking Place Around Autonomous Cars to Be A Potential Opportunity Awaiting for Supply Chain Analytics Vendors
     10.3 Retail and Consumer Goods
             10.3.1 Inventory Planning and Optimization, Reduction in Logistics and Transportation Costs, and Enhanced Overall Profitability to Organizations to Drive the Adoption of Supply Chain Analytics
     10.4 F&B Manufacturing
             10.4.1 Need for Better Inventory Optimization to Trigger the Growth of the F&B Manufacturing Industry Vertical
     10.5 Machinery and Industrial Equipment Manufacturing
             10.5.1 Companies to Harness the Power of Digitalization to Streamline Operations for Meeting the Business Needs
     10.6 Pharmaceuticals
             10.6.1 Need to Improve Supply Chain Efficiency Due to Increase in Drug Patent Expirations and Decreased Profit Margins
     10.7 Government
             10.7.1 Supply Chain Analytics Solutions Provide Spend and Procurement Analytics Capabilities That Empower Government Agencies to Minimize Price, Optimize Performance, and Achieve Socio-Economic Goals
     10.8 Energy and Utilities
             10.8.1 Organizations Catering to the Energy and Utilities Industry Vertical to Deal With Government Policies, Tax Initiatives, and Subsidies to Promote Energy Conservation and Demand Reduction

11 Supply Chain Analytics Market By Region (Page No. - 76)
     11.1 Introduction
     11.2 North America
             11.2.1 United States
                        11.2.1.1 US to Account for the Largest Market Size in the Market in North America
             11.2.2 Canada
                        11.2.2.1 Canada to Witness the Highest Growth Rate in the Market in North America
     11.3 Europe
             11.3.1 United Kingdom
                        11.3.1.1 Growth of the Manufacturing Industry in the Region to Drive the Market
             11.3.2 Germany
                        11.3.2.1 Germany to Witness the Highest Growth Rate in the Market in Europe
             11.3.3 France
                        11.3.3.1 France to Witness Significant Adoption of Supply Chain Analytics Solutions in the Coming Years
             11.3.4 Rest of Europe
     11.4 Asia Pacific
             11.4.1 India
                        11.4.1.1 Increase in Investments Among Startups and Growth of the Manufacturing Industry Vertical in the Region to Trigger the Supply Chain Analytics Adoption in the Region
             11.4.2 Japan
                        11.4.2.1 Investments in the Ai-Based Analytics Technology to Grow in Japan
             11.4.3 China
                        11.4.3.1 Emergence of Mobile Technologies, Cloud Computing, and Increased Automation to Bolster Supply Chain Analytics Penetration in China
             11.4.4 Rest of Asia Pacific
     11.5 Latin America
             11.5.1 Mexico
                        11.5.1.1 Mexico to Account for the Largest Market Size in the Market in Latin America
             11.5.2 Brazil
                        11.5.2.1 Brazil to Witness the Highest Growth Rate in the Market in Latin America
             11.5.3 Argentina
                        11.5.3.1 Demand Analysis and Forecasting, and Inventory Analytics Tools to Be Widely Adopted in the Region
             11.5.4 Rest of Latin America
     11.6 Middle East and Africa
             11.6.1 Middle East
                        11.6.1.1 Supply Chain to Be the Next Step of Advancement for Improving Operations and Services in the Middle East
             11.6.2 Africa
                        11.6.2.1 Growth of the Manufacturing Industry Vertical, Coupled With the Retail and Consumer Goods Industry Vertical, to Boost the Supply Chain Analytics Adoption

12 Competitive Landscape (Page No. - 98)
     12.1 Overview
     12.2 Competitive Leadership Mapping
             12.2.1 Visionaries
             12.2.2 Innovators
             12.2.3 Dynamic Differentiators
             12.2.4 Emerging Companies
     12.3 Competitive Benchmarking
             12.3.1 Strength of Product Portfolio Adopted By Major Players in the Market
             12.3.2 Business Strategy Excellence Adopted By Major Players in the Market
     12.4 Market Ranking
     12.5 Start-Up Competitive Leadership Mapping
             12.5.1 Progressive Companies
             12.5.2 Responsive Companies
             12.5.3 Dynamic Companies
             12.5.4 Starting Blocks
     12.6 Start-Up Competitve Benchmarking
             12.6.1 Strength of Product Portfolio Adopted By Major Start-Ups in the Market
             12.6.2 Business Strategy Excellence Adopted By Major Start-Ups in the Market
     12.7 Competitive Scenario
             12.7.1 New Product Launches and Enhancements
             12.7.2 Partnerships, Collaborations, and Agreements
             12.7.3 Mergers and Acquisitions

13 Company Profiles (Page No. - 109)
(Business Overview, Software and Services Offered, Recent Developments, SWOT Analysis, and MnM View)*
     13.1 IBM
     13.2 Oracle
     13.3 SAP
     13.4 SAS Institute
     13.5 Infor
     13.6 MicroStrategy
     13.7 Tableau
     13.8 Software AG
     13.9 Cloudera
     13.10 Domo
     13.11 Rosslyn Analytics
     13.12 Savi Technology
     13.13 Voxware
     13.14 BRIDGEi2i
     13.15 Axway
     13.16 1010data
     13.17 Qlik
     13.18 The AnyLogic Company
     13.19 Antuit
     13.20 Logility
     13.21 TIBCO Software
     13.22 TARGIT
     13.23 AIMMS
     13.24 RELEX Solutions
     13.25 Dataiku

*Details on Business Overview, Software and Services Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Discussion Guide (Page No. - 156)
     14.1 Discussion Guide
     14.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.3 Available Customizations
     14.4 Related Reports
     14.5 Author Details


List of Tables (71 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Supply Chain Analytics Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 4 Market Size By Software, 2016–2023 (USD Million)
Table 5 Software: Market Size By Region, 2016–2023 (USD Million)
Table 6 Demand Analysis and Forecasting: Market Size By Region, 2016–2023 (USD Million)
Table 7 Supplier Performance Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 8 Spend and Procurement Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 9 Inventory Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 10 Transportation and Logistics Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 11 Supply Chain Analytics Market Size, By Service, 2016–2023 (USD Million)
Table 12 Services: Market Size By Region, 2016–2023 (USD Million)
Table 13 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 14 Professional Services Market Size, By Type, 2016–2023 (USD Million)
Table 15 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 16 Consulting Services Market Size, By Region, 2016–2023 (USD Million)
Table 17 Support and Maintenance Services Market Size, By Region, 2016–2023 (USD Million)
Table 18 Deployment and Integration Services Market Size, By Region, 2016–2023 (USD Million)
Table 19 Supply Chain Analytics Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 20 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 21 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 22 Market Size, By Organization Size, 2016–2023 (USD Million)
Table 23 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 24 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 25 Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 26 Automotive: Market Size By Region, 2016–2023 (USD Million)
Table 27 Retail and Consumer Goods: Market Size By Region, 2016–2023 (USD Million)
Table 28 F&B Manufacturing: Market Size, By Region, 2016–2023 (USD Million)
Table 29 Machinery and Industrial Equipment Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 30 Pharmaceuticals: Market Size By Region, 2016–2023 (USD Million)
Table 31 Government: Market Size By Region, 2016–2023 (USD Million)
Table 32 Energy and Utilities: Market Size By Region, 2016–2023 (USD Million)
Table 33 Supply Chain Analytics Market Size, By Region, 2016–2023 (USD Million)
Table 34 North America: Market Size By Software, 2016–2023 (USD Million)
Table 35 North America: Market Size By Service, 2016–2023 (USD Million)
Table 36 North America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 37 North America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 38 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 39 North America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 40 North America: Market Size By Country, 2016–2023 (USD Million)
Table 41 Europe: Market Size, By Software, 2016–2023 (USD Million)
Table 42 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 43 Europe: Market Size By Professional Service, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 45 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 47 Europe: Market Size By Country, 2016–2023 (USD Million)
Table 48 Asia Pacific: Supply Chain Analytics Market Size, By Software, 2016–2023 (USD Million)
Table 49 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 50 Asia Pacific: Market Size By Professional Service, 2016–2023 (USD Million)
Table 51 Asia Pacific: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 52 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 53 Asia Pacific: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size By Country, 2016–2023 (USD Million)
Table 55 Latin America: Market Size, By Software, 2016–2023 (USD Million)
Table 56 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 57 Latin America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 58 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 59 Latin America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 60 Latin America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 61 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Supply Chain Analytics Market Size, By Software, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 64 Middle East and Africa: Market Size By Professional Service, 2016–2023 (USD Million)
Table 65 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 66 Middle East and Africa: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 67 Middle East and Africa: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 68 Middle East and Africa: Market Size By Country, 2016–2023 (USD Million)
Table 69 New Product Launches and Enhancements, 2017–2018
Table 70 Partnerships, Collaborations, and Agreements, 2016–2018
Table 71 Mergers and Acquisitions, 2016–2017


List of Figures (45 Figures)

Figure 1 Supply Chain Analytics Market: Research Design
Figure 2 Market Bottom-Up Approach
Figure 3 Market Top-Down Approach
Figure 4 Market Evolution
Figure 5 Market Analysis
Figure 6 Fastest-Growing Segments in the Market
Figure 7 Rising Need for Data-Driven Decision-Making Across Supply Chain Operations to Drive the Market Growth
Figure 8 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 9 Cloud Deployment Model to Have A Higher CAGR During the Forecast Period
Figure 10 Automotive Industry Vertical to Witness the Highest CAGR During the Forecast Period
Figure 11 North America to Witness the Highest Market Share in 2018
Figure 12 Drivers, Restraints, Opportunities, and Challenges: Supply Chain Analytics Market
Figure 13 Traditional Bi Tools V/S AI Based Solutions
Figure 14 Supply Chain Analytics Market: Analytics Types
Figure 15 Market Ecosystem
Figure 16 Inventory Analytics Segment to Hold the Largest Market Size During the Forecast Period
Figure 17 Professional Services Segment to Hold A Larger Market Size During the Forecast Period
Figure 18 Consulting Services Segment to Account for the Largest Market Size By 2023
Figure 19 On-Premises Segment to Hold A Larger Market Size During the Forecast Period
Figure 20 Large Enterprises Segment to Hold A Larger Market Size During the Forecast Period
Figure 21 Retail and Consumer Goods Industry Vertical to Hold the Largest Market Size During the Forecast Period
Figure 22 North America to Account for the Largest Market Size During the Forecast Period
Figure 23 North America: Market Snapshot
Figure 24 Asia Pacific: Market Snapshot
Figure 25 Supply Chain Analytics Market (Global), Competitive Leadership Mapping, 2018
Figure 26 SAP Led the Market in 2017–2018
Figure 27 Market (Start-Up), Competitive Leadership Mapping, 2018
Figure 28 Key Developments By the Leading Players in the Market During 2017–2018
Figure 29 IBM: Company Snapshot
Figure 30 IBM: SWOT Analysis
Figure 31 Oracle: Company Snapshot
Figure 32 Oracle: SWOT Analysis
Figure 33 SAP: Company Snapshot
Figure 34 SAP: SWOT Analysis
Figure 35 SAS Institute: Company Snapshot
Figure 36 SAS Institute: SWOT Analysis
Figure 37 Infor: Company Snapshot
Figure 38 Infor: SWOT Analysis
Figure 39 MicroStrategy: Company Snapshot
Figure 40 Tableau: Company Snapshot
Figure 41 Software AG: Company Snapshot
Figure 42 Cloudera: Company Snapshot
Figure 43 Domo: Company Snapshot
Figure 44 Rosslyn Analytics: Company Snapshot
Figure 45 Axway: Company Snapshot

The study involves 4 major activities to estimate the current market size for supply chain analytics software and services. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources, such as Hoovers, Bloomberg BusinessWeek, and Dun & Bradstreet, have been referred to, to identify and collect information for this study. These secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications, and articles by recognized authors; gold standard and silver standard websites; supply chain analytics technology, Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary Research

Various primary sources from both supply and demand sides of the supply chain analytics market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors who provide the supply chain analytics software; associated service providers; and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. Following is the breakup of primary respondents:

Supply Chain Analytics Market

To know about the assumptions considered for the study, download the pdf brochure

Supply Chain Analytics Market Size Estimation

For making market estimates and forecasting the supply chain analytics market and the other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global supply chain analytics market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market have been identified through extensive secondary research.
  • The market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the supply chain analytics market based on software, services, deployment models, organization size, industry verticals, and regions
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To analyze subsegments with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market
  • To forecast the revenue of the market segments with respect to all the 5 major regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile the key players and comprehensively analyze recent developments and their positioning related to the supply chain analytics market
  • To analyze competitive developments, such as mergers and acquisitions, new product developments, and Research and Development (R&D) activities, in the market

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Report Code
TC 3188
Published ON
Sep, 2019
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