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.

Attractive Opportunities in the Supply Chain Analytics 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.

e: estimated; p: projected
Source: MarketsandMarkets Analysis

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).

Market Dynamics

Need to enhance operational and supply chain efficiencies

The striving need to anticipate risks, improve productivity, minimize operational costs, and achieve stable business growth are driving the growth of the supply chain analytics market. Supply chain analytics brings data-driven intelligence to one’s business reducing the total cost to serve and improve service levels. The increasing adoption of analytics tools has witnessed improvement in supply chain processes, such as planning, design, production, and delivery and service. This, in turn, has positively impacted the growth of businesses leading to an increase in demand for supply chain analytics solutions. These solutions enable enterprises to make well-informed decisions aiding them with capabilities, such as plan compliance analytics, spend and procurement analytics, inventory optimization, route and network optimization practices, and price optimization. Price optimization uses both predictive and prescriptive analytics which is important in demand planning and forecasting. These capabilities help companies find useful patterns in consumer purchase behaviors, which can be further combined with optimization models to enable dynamic pricing over a period.

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.

Increase adoption of cloud-based supply chain analytics

With the growing complexities and the increasing need for real-time analysis of data across the supply chain ecosystem, organizations are inclined toward the adoption of cloud-based supply chain analytics solutions. The use of cloud-based analytics solutions mainly helps in tracking and analyzing the overall supply chain activities across forward and backward supply chain ecosystem. Moreover, features of cloud, such as cost-effectiveness, agility, ease of use and integration, planning, and scalability, are attracting various supply chain management solution providers. The global supply chain systems need extensive setups or modifications in transportation and incur a secondary cost for enterprises, which, in turn, increases the investment costs. The rise in complexity and extra costs lead the enterprise to adopt end-to-end supply chain visibility, such as cloud-based supply system for transportation management. The cloud-based supply chain analytics solutions in logistics and transportations enable enterprises to connect, engage, and collaborate with customers, business partners, and suppliers. It also helps enterprises build a secure, reliable, and integrated system for the transportation management system, which gives real-time information to consumers. These benefits enhance the growth of cloud-based supply chain analytics solutions across industry verticals, including electronics equipment manufacturing, automotive, F&B manufacturing, machinery and industrial equipment manufacturing, pharmaceuticals, government, and energy and utilities.

Reluctance of adopt advanced analytical technologies

With the advent of big data, smart cities, and IoT, the growth of data and data sources have increased exponentially. This massive data generation is responsible for providing the business executives an opportunity to gather more relevant customer-centric, as well as supply chain operations-centric insights and further form business strategies based on it. However, companies are still facing numerous challenges in the adoption of supply chain analytics solutions due to numerous factors. With the growth of humungous data across data sources, most of the data generated are unstructured in nature. Organizations face a strong challenge in handling and managing this unstructured data and getting them in a structured format. Getting the data in a structured format is extremely important to make it more extrapolative for getting better insights. Accenture conducted a study that revealed that 97% of the executives surveyed had challenges in adopting a supply chain program in their processes. The survey went further to highlight that a mere 17% of respondents only implemented the supply chain technology in one or more functions. It is also witnessed that the adoption of supply chain analytics solutions is not picking up a pace, owing to the reluctance of organizations to shift from manual practices to advanced reporting and dashboard process. Most of the enterprises have a laid-back attitude toward new technologies and use their intuition rather than adopting advanced technologies to make informed business decisions. Most of the advanced analytics technology is facing the brunt of minimal adoption rate, owing to the stereotyped and conformist organizational culture of taking business decisions based on historical data and business events.

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 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 supply chain analytics 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 market has been segmented as follows:

  • On-premises
  • Cloud

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

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

Based on industry verticals, the 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

Key Market Players

The supply chain analytics 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.

Recent Developments:

  • In April 2019, IBM confirmed enhancement in their Supply Chain solutions through implementation of Blockchain and IoT. Improved traceability and partner network for better authentication and reduced warranty cost.
  • In September 2019, Oracle partnered with Trinamix to expand its supply chain management with target the retail sector.

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?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction
   1.1 Objective of Report
   1.2 Market Definition
   1.3 Market Scope
        1.3.1 Markets Covered
        1.3.2 Years Considered in the Report
   1.4 Currency
   1.5 Limitations
   1.6 Stakeholders

2 Research Methodology
   2.1 Research Data
        2.1.1 Secondary Data
               2.1.1.1 Key Data From Secondary Sources
        2.1.2 Primary Data
               2.1.2.1 Key Data From Primary Sources
               2.1.2.2 Key Industry Insights
               2.1.2.3 Breakdown of Primary Interviews
   2.2 Market Size Estimation
        2.2.1 Bottom-Up Approach
        2.2.2 Top-Down Approach
   2.3 Market Breakdown and Data Triangulation
   2.4 Research Assumption and Limitation
        2.4.1 Assumptions
        2.4.2 Limitations

3 Executive Summary

4 Premium Insights
   4.1 Attractive Market Opportunities in the Supply Chain Analytics Market
   4.2 Market By Application Area and Region
   4.3 Life Cycle Analysis, By Region

5 Supply Chain Analytics Market - Startup Scenario
   5.1 Startup Company Analysis By
        5.1.1 Global Footprint
        5.1.2 Revenue
        5.1.3 Market Ranking/Share Interval
        5.1.4 Venture Capital and Funding Scenario

6 Market Overview and Industry Trends
   6.1 Introduction
   6.2 Market Dynamics
        6.2.1 Drivers
        6.2.2 Restraints
        6.2.3 Opportunities
        6.2.4 Challenges
   6.3 Use Cases
        6.3.1 Use Case 1
        6.3.2 Use Case 2
        6.3.3 Use Case 3
        6.3.4 Use Case 4
        6.3.5 Use Case 5
   6.4 Regulatory Framework
   6.5 Supply Chain Analytics Ecosystem
   6.6 Impact of Disruptive Technologies
        6.6.1 Artificial Intelligence/Machine Learning
        6.6.2 Iot

7 Supply Chain Analytics Market By Component
   7.1 Introduction
   7.2 Software
        7.2.1 Demand Analysis and Forecasting
        7.2.2 Supplier Performance Analytics
        7.2.3 Spend and Procurement Analytics
        7.2.4 Inventory Analytics
        7.2.5 Transportation and Logistics Analytics
        7.2.6 Sales & Operations
        7.2.7 Visualization & Reporting
   7.3 Services
        7.3.1 Managed Services
        7.3.2 Professional Services
               7.3.2.1 Consulting Services
               7.3.2.2 Support and Maintenance Services
               7.3.2.3 Deployment and Integration Services

8 Supply Chain Analytics Market By Deployment Mode
   8.1 Introduction
   8.2 On-Premises
   8.3 Cloud

9 Supply Chain Analytics Market By Organization Size
   9.1 Introduction
   9.2 Small and Medium-Sized Enterprises
   9.3 Large Enterprises

10 Supply Chain Analytics Market By Industry Vertical
    10.1 Introduction
    10.2 Automotive
    10.3 Retail and Consumer Goods
    10.4 F&B Manufacturing
    10.5 Machinery and Industrial Equipment Manufacturing
    10.6 Pharmaceuticals
    10.7 Government
    10.8 Energy and Utilities
    10.9 Aerospace & Defense
    10.10 Others

11 Adjacent Market Overview
    11.1 Big Data Market
          11.1.1 Market Estimates and Forecasts, 2015 - 2022 (USD Million)
          11.1.2 Data Center Market Estimates and Forecasts, 2015 - 2022 (Million Units)
          11.1.3 Market Estimates and Forecasts, By Region, 2015 - 2022 (USD Million)
    11.2 Data Lakes Market
          11.2.1 Market Estimates and Forecasts, 2016 - 2023 (USD Million)
          11.2.2 Market Estimates and Forecasts, By Region, 2016 - 2023 (USD Million)
    11.3 Streaming Analytics Market
          11.3.1 Market Estimates and Forecasts, 2015 - 2022 (USD Million)
          11.3.2 Market Estimates and Forecasts, By Region, 2015 - 2022 (USD Million)

12 Supply Chain Analytics Market By Region
    12.1 Introduction
    12.2 North America
          12.2.1 By Component
          12.2.2 By Application
          12.2.3 By Deployment Mode
          12.2.4 By Organization Size
          12.2.5 By Industry Vertical
          12.2.6 By Country
                  12.2.6.1 US
                            12.2.6.1.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
                            12.2.6.1.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
                            12.2.6.1.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
                            12.2.6.1.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
                  12.2.6.2 Canada
    12.3 Europe
          12.3.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
          12.3.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
          12.3.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
          12.3.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
          12.3.5 Market Estimates and Forecasts, By Country, 2017 - 2024 (USD Million)
          12.3.6.Market Estimates And Forecasts, By Country, 2017 - 2024 (Usd Million)
                  12.3.6.1 U.K
                            12.3.6.1.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
                            12.3.6.1.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
                            12.3.6.1.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
                            12.3.6.1.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
                  12.3.5.2 Germany
                  12.3.5.3 Italy
                  12.3.5.4 France
                  12.3.5.5 Rest of Europe
    12.4 Asia Pacific
          12.4.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
          12.4.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
          12.4.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
          12.4.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
          12.4.5 Market Estimates and Forecasts, By Country, 2017 - 2024 (USD Million)
                  12.4.5.1 China
                            12.4.5.1.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
                            12.4.5.1.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
                            12.4.5.1.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
                            12.4.5.1.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
                  12.4.5.2 Australia
                  12.4.5.3 Japan
                  12.4.5.4 South Korea
                  12.4.5.5 India
                  12.4.7.6 Rest of APAC
    12.5 Middle East and Africa
          12.5.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
          12.5.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
          12.5.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
          12.5.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
          12.5.5 Market Estimates and Forecasts, By Country, 2017 - 2024 (USD Million)
                  12.5.5.1 UAE
                            12.5.5.1.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
                            12.5.5.1.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
                            12.5.5.1.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
                            12.5.5.1.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
                  12.5.5.2 Saudi Arabia
                  12.5.5.3 South Africa
                  12.5.5.4 Rest of MEA
    12.6 Latin America
          12.6.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
          12.6.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
          12.6.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
          12.6.6 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
          12.6.7 Market Estimates and Forecasts, By Country, 2017 - 2024 (USD Million)
                  12.6.7.1 Brazil
                            12.6.7.1.1 Market Estimates and Forecasts By Component, 2017 - 2024 (USD Million)
                            12.6.7.1.2 Market Estimates and Forecasts, By Deployment Mode, 2017 - 2024 (USD Million)
                            12.6.7.1.3 Market Estimates and Forecasts, By Organization Size, 2017 - 2024 (USD Million)
                            12.6.7.1.4 Market Estimates and Forecasts, By Industry Vertical, 2017 - 2024 (USD Million)
                  12.6.7.2 Mexico
                  12.6.7.3 Argentina
                  12.6.7.4 Rest of South America

13 Competitive Landscape
    13.1 Overview
    13.2 Microquandrant Overview
          13.2.1 Visionary Leaders
                  13.2.1.1 Definition
                  13.2.1.2 List of Vendors
          13.2.2 Innovators
                  13.2.2.1 Definition
                  13.2.2.2 List of Vendors
          13.2.3 Emerging Companies
                  13.2.3.1 Definition
                  13.2.3.2 List of Vendors
          13.2.4 Dynamic Differentiators
                  13.2.4.1 Definition
                  13.2.4.2 List of Vendors
    13.3 Competitive Situation and Trends
          13.3.1 New Product Launches
          13.3.2 Agreements, Partnerships, Collaborations and Alliances
          13.3.3 Mergers and Acquisitions
          13.3.4 Expansions
    13.4 Start-Up Competitive Leadership Mapping
          13.4.1 Progressive Companies
          13.4.2 Responsive Companies
          13.4.3 Dynamic Companies
          13.4.4 Starting Blocks
    13.5 Start-Up Competitive Benchmarking
          13.5.1 Strength of Product Portfolio Adopted By Major Start-Ups in the Market
          13.5.2 Business Strategy Excellence Adopted By Major Start-Ups in the Market

14 Supply Chain Analytics Market - Industry / Segment Competition Landscape
    14.1 Market Share Analysis
          14.1.1 Market Share By Company (Ranking/Interval Share)
          14.1.2 Market Share By Region- Top 11 Companies (Ranking/Interval Share)
    14.2 Product Benchmarking
          14.2.1 Product Benchmarking By Top 11 Companies
                  14.2.1.1 By Deployment Mode
                  14.2.1.2 By End Users

15 Company Profile
    15.1 Overview
    15.2 IBM
          15.2.1 Business Overview
          15.2.2 Company Snapshot
          15.2.3 Financial Overview
(Operating Income & R&D Expenditure, Business & Geographical Revenue Mix)
          15.2.4 Products Offered
          15.2.5 Recent Development
                  15.2.5.1 New Product Launched/Product Updates
                  15.2.5.2 Merger & Acquisition/Joint Venture/ Partnership
          15.2.6 SWOT Analysis
          15.2.7 MnM View
    15.3 Oracle
    15.4 SAP
    15.5 SAS Institute
    15.6 Infor
    15.7 Microstrategy
    15.8 Software AG
    15.9 Cloudera
    15.10 Domo
    15.11 Rosslyn Analytics
    15.12 Savi Technology
    15.12 Voxware
    15.13 BRIDGEi2i
    15.14 Axway
    15.15 1010 data
    15.16 Qlik
    15.17 the Anylogic Company
    15.18 Antuit
    15.19 Logility
    15.20 TIBCO Software
*Financials Would Be Provided On A Best Efforts Basis for Private Companies

16 Appendix
    16.1 Insights of Industry Experts
    16.2 Discussion Guide
    16.3 Available Customizations
    16.4 Related Reports

List Of Tables (134 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Startup Scenario: Global Footprint, 2019
Table 4 Startup Scenario: Revenue, 2019
Table 5 Startup Scenario: Market Ranking/Share Interval, 2019
Table 6 Startup Scenario: Venture Capital/Funding, 2019
Table 7 Supply Chain Analytics Market Size And Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 8 Market Size By Software, 2016–2023 (USD Million)
Table 9 Software: Market Size By Region, 2016–2023 (USD Million)
Table 10 Demand Analysis And Forecasting: Market Size By Region, 2016–2023 (USD Million)
Table 11 Supplier Performance Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 12 Spend And Procurement Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 13 Inventory Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 14 Transportation And Logistics Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 15 Sales & Operations: Market Size By Region, 2016–2023 (USD Million)
Table 16 Visualization & Reporting: Market Size By Region, 2016–2023 (USD Million)
Table 17 Supply Chain Analytics Market Size, By Service, 2016–2023 (USD Million)
Table 18 Services: Market Size By Region, 2016–2023 (USD Million)
Table 19 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 20 Professional Services Market Size, By Type, 2016–2023 (USD Million)
Table 21 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 22 Consulting Services Market Size, By Region, 2016–2023 (USD Million)
Table 23 Support And Maintenance Services Market Size, By Region, 2016–2023 (USD Million)
Table 24 Deployment And Integration Services Market Size, By Region, 2016–2023 (USD Million)
Table 25 Supply Chain Analytics Market Size, By Deployment Model, 2016–2023 (USD Million)
Table 26 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 27 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 28 Market Size, By Organization Size, 2016–2023 (USD Million)
Table 29 Small And Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 30 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 31 Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 32 Automotive: Market Size By Region, 2016–2023 (USD Million)
Table 33 Retail And Consumer Goods: Market Size By Region, 2016–2023 (USD Million)
Table 34 F&B Manufacturing: Market Size, By Region, 2016–2023 (USD Million)
Table 35 Machinery And Industrial Equipment Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 36 Pharmaceuticals: Market Size By Region, 2016–2023 (USD Million)
Table 37 Government: Market Size By Region, 2016–2023 (USD Million)
Table 38 Energy And Utilities: Market Size By Region, 2016–2023 (USD Million)
Table 39 Supply Chain Analytics Market Size, By Region, 2016–2023 (USD Million)
Table 40 Connected Market-Big Data Analytics: Market Size, By Region, 2014–2021 (USD Billion)
Table 41 Connected Market-Data Discovery And Visualization: Market Size, By Region, 2014–2021 (USD Billion)
Table 42 Connected Market-Data Discovery And Visualization: Market Size, By Region, 2014–2021 (USD Billion)
Table 43 Connected Market-Market Size, By Service, 2014–2021 (USD Billion)
Table 44 Connected Market-Consulting And System Integration: Market Size, By Region, 2014–2021 (USD Billion)
Table 45 Connected Market-Training And Support: Market Size, By Region, 2014–2021 (USD Billion)
Table 46 Connected Market-Managed Services: Market Size, By Region, 2014–2021 (USD Billion)
Table 47 Connected Market-Big Data Market Size, By Type, 2014–2021 (USD Billion)
Table 48 Connected Market-Structured Data: Market Size, By Region, 2014–2021 (USD Billion)
Table 49 Connected Market-Unstructured Data: Market Size, By Region, 2014–2021 (USD Billion)
Table 50 Connected Market-Semi-Structured Data: Market Size, By Region, 2014–2021 (USD Billion)
Table 51 Connected Market-Market Size, By Deployment Model 2014–2021 (USD Billion)
Table 52 Connected Market-On-Premises: Market Size, By Region, 2014–2021 (USD Billion)
Table 53 Connected Market-On-Demand: Market Size, By Region, 2014–2021 (USD Billion)
Table 54 Connected Market-Big Data Market Size, By Vertical, 2014–2021 (USD Billion)
Table 55 Connected Market-Big Data Market Size, By Region, 2014–2021 (USD Billion)
Table 56 Connected Market-Streaming Analytics Market Size And Growth Rate, 2017–2024 (USD Billion, Y-O-Y %)
Table 57 Connected Market-Streaming Analytics Market Size, By Component, 2017–2024 (USD Million)
Table 58 Connected Market-Streaming Analytics Market Size By Services: Market Size, By Type, 2017–2024 (USD Million)
Table 59 Connected Market-Streaming Analytics Market Size By Professional Services Market Size, By Type, 2017–2024 (USD Million)
Table 60 Connected Market-Streaming Analytics Market Size, By Application, 2017–2024 (USD Million)
Table 61 Connected Market-Streaming Analytics Market Size By Deployment Model, 2017–2024 (USD Million)
Table 62 Connected Market-Streaming Analytics Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 63 Connected Market-Streaming Analytics Market Size By Region, 2017–2024 (USD Million)
Table 64 North America: Market Size By Software, 2016–2023 (USD Million)
Table 65 North America: Market Size By Service, 2016–2023 (USD Million)
Table 66 North America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 67 North America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 68 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 69 North America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 70 North America: Market Size By Country, 2016–2023 (USD Million)
Table 71 United States: Market Size By Software, 2016–2023 (USD Million)
Table 72 United States: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 73 Canada: Market Size By Software, 2016–2023 (USD Million)
Table 74 Canada: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 75 Europe: Market Size, By Software, 2016–2023 (USD Million)
Table 76 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 77 Europe: Market Size By Professional Service, 2016–2023 (USD Million)
Table 78 Europe: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 79 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 80 Europe: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 81 Europe: Market Size By Country, 2016–2023 (USD Million)
Table 82 India: Market Size By Software, 2016–2023 (USD Million)
Table 83 India: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 84 Germany: Market Size By Software, 2016–2023 (USD Million)
Table 85 Germany: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 86 France: Market Size By Software, 2016–2023 (USD Million)
Table 87 France: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 88 Rest Of Europe: Market Size By Software, 2016–2023 (USD Million)
Table 89 Rest Of Europe: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 90 India: Market Size By Software, 2016–2023 (USD Million)
Table 91 Asia Pacific: Supply Chain Analytics Market Size, By Software, 2016–2023 (USD Million)
Table 92 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 93 Asia Pacific: Market Size By Professional Service, 2016–2023 (USD Million)
Table 94 Asia Pacific: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 95 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 96 Asia Pacific: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 97 Asia Pacific: Market Size By Country, 2016–2023 (USD Million)
Table 98 China: Market Size By Software, 2016–2023 (USD Million)
Table 99 India: Market Size By Software, 2016–2023 (USD Million)
Table 100 India: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 101 Japan: Market Size By Software, 2016–2023 (USD Million)
Table 102 Japan: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 103 China: Market Size By Software, 2016–2023 (USD Million)
Table 104 China: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 105 Rest Of Apac: Market Size By Software, 2016–2023 (USD Million)
Table 106 Rest Of Apac: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 107 Latin America: Market Size, By Software, 2016–2023 (USD Million)
Table 108 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 109 Latin America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 110 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 111 Latin America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 112 Latin America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 113 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 114 Mexico: Market Size By Software, 2016–2023 (USD Million)
Table 115 Mexico: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 116 Brazil: Market Size By Software, 2016–2023 (USD Million)
Table 117 Brazil: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 118 Rest Of Latin America: Market Size By Software, 2016–2023 (USD Million)
Table 119 Rest Of Latin America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 120 Brazil: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 121 Middle East And Africa: Supply Chain Analytics Market Size, By Software, 2016–2023 (USD Million)
Table 122 Middle East And Africa: Market Size By Service, 2016–2023 (USD Million)
Table 123 Middle East And Africa: Market Size By Professional Service, 2016–2023 (USD Million)
Table 124 Middle East And Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 125 Middle East And Africa: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 126 Middle East And Africa: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 127 Middle East And Africa: Market Size By Country, 2016–2023 (USD Million)
Table 128 Middle East: Market Size By Software, 2016–2023 (USD Million)
Table 129 Middle East: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 130 Africa: Market Size By Software, 2016–2023 (USD Million)
Table 131 Africa: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 132 New Product Launches And Enhancements, 2017–2018
Table 133 Partnerships, Collaborations, And Agreements, 2016–2018
Table 134 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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