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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

  • ID: 4746767
  • Report
  • Region: Global
  • 164 Pages
  • Markets and Markets
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The Global Supply Chain Analytics Market is to Grow from USD 3.6 Billion in 2018 to USD 7.1 Billion by 2023, at a CAGR of 14.6% During the Forecast Period

FEATURED COMPANIES

  • 1010data
  • Bridgei2i
  • IBM
  • Oracle
  • SAP
  • Tableau
  • MORE

Increasing Volume and Velocity of Data is to driving the growth of the market

The demand needs to offer precise demand forecasting and analysis tools and adequate efficiencies across the total supply chain process are propelling the growth of the supply chain and analytics market. However, the lack of skilled personnel would limit the growth of the market.

Need to analyze demand patterns, develop effective production plans, and improvise forecast accuracy would to drive the adoption of demand analysis and forecasting software solutions

Supply chain analytics software helps business organizations to collect, distil, and analyze the massive generated data generated by them. Due to the burgeoning of data across industries, these software helps companies interpret and translate the unstructured data into informational insights. Demand analysis and forecasting are 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 over-stocked or understocked. The demand analysis and forecasting solution facilitate businesses to boost their service levels, shorten cycle times, reduce inventory investment, and minimize obsolescence.

Cloud-based supply chain analytics software are to gaining traction owing to improved agility, scalability, and security

The supply chain analytics software can be deployed on-premises as well as on cloud, as per the business requirement. Cloud-based deployment benefits organizations with increased scalability, speed, 24/7 services, and improved IT security. Owing to an increasing number of applications being deployed over the cloud, there is a shift from traditional on-premises supply chain software to cloud-based supply chain software across enterprises of all sizes. On-premises deployment allows organizations to control all the systems and data, but organizations also have to pay the cost for hardware, software, and other resources used for its maintenance. It also restricts the storage capacity that is needed to maintain new functionalities and technologies.

Supply chain analytics market in APAC (Asia Pacific) is projected to grow at the highest CAGR during the forecast period

The high growth of the supply chain market in the Asia Pacific (APAC) is attributed to the flexible economic conditions, industrialization and globalization-motivated policies of governments, and the expanding digitalization in the region. Being the home region for technologically advanced countries such as China, India, Japan, South Korea, and Singapore, which are considered as technologically advanced countries, the growth prospect of deploying for advanced supply chain analytics solutions in this region looks sharp. Moreover, the growing traction of the manufacturing industry vertical across China and India and the rising eCommerce across the APAC region are expected to offer unprecedented opportunities to the supply chain analytics software vendors to sell their solutions in the region.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the TV analytics market.

  • By Company: – Tier 1–22%, Tier 2–30%, and Tier 3–48%
  • By Designation: – C-Level–30%, Director Level–45%, and Others–25%
  • By Region: – North America–42%, Europe–26%, APAC–20%, and RoW–1512%

The supply chain analytics market comprises major solution providers, such as IBM (US), SAP SE (Germany), SAS Institute (US), Oracle (US), Infor (US), MicroStrategy (US), Tableau (US), Voxware (US), TIBCO Software (US), Qlik (US), TARGIT (Denmark), AIMMS (Netherlands), Axway (US), Software AG (Germany), Savi TechnologyAVI (US), Antuit (US), Relex Solutions (Finland), BRIDGEi2i (India), The Anylogic Company (US), Logility (US), Domo (US), Datameer (US), 1010data (US), Cloudera (US), and Rosslyn Analytics (England). 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.

Research coverage

The supply chain analytics market revenue is primarily classified into revenues from software and services. Software revenue is associated with software and platform offerings, while the services’ revenue is associated with managed and professional services. The professional services comprise support and maintenance and consulting. The market is also segmented on the basis of software, service, technology types, organization size, deployment model, vertical, and regions.

Key benefits of the report
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall supply chain analytics market and the subsegments.
This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies.
The report also helps stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.

Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • 1010data
  • Bridgei2i
  • IBM
  • Oracle
  • SAP
  • Tableau
  • MORE

1 Introduction
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
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

4 Premium Insights
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
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
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
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
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
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
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
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
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 Competitive 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
Business Overview, Software and Services Offered, Recent Developments, SWOT Analysis, and Author's 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 Author's View Might Not Be Captured in Case of Unlisted Companies.

14 Discussion Guide
14.1 Discussion Guide
14.2 Knowledge Store: 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 Supply Chain Analytics 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 Supply Chain Analytics 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: Supply Chain Analytics 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: Supply Chain Analytics 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 Supply Chain Analytics 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 Supply Chain Analytics 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 Supply Chain Analytics 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

Note: Product cover images may vary from those shown
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  • 1010data
  • Aimms
  • Antuit
  • Axway
  • Bridgei2i
  • Cloudera
  • Dataiku
  • Domo
  • IBM
  • Infor
  • Logility
  • Microstrategy
  • Oracle
  • Qlik
  • Relex Solutions
  • Rosslyn Analytics
  • SAP
  • SAS Institute
  • Savi Technology
  • Software AG
  • Tableau
  • Targit
  • The Anylogic Company
  • Tibco Software
  • Voxware
Note: Product cover images may vary from those shown
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