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North America Supply Chain Analytics Market Size By Organization Size, By Component, By Deployment Size, By Application, Research Report, Country Outlook, Price Trends, Growth Prospects, Competitive Industry Share & Forecasts, 2020 - 2026


Robust growth of integrated supply chain solutions and bullish demand for advanced analytics solutions will propel North America supply chain analytics market value. The trend for cognitive technologies in supply chain processes will augur well for the industry size expansion. Considering the market uptake of advanced visualization of supply chain analytics solutions, stakeholders will continue to inject funds across the region.
Thriving retail industry and an upsurge in supply chain transformation will be in line with the demand for operational efficiencies. In terms of revenue, North America supply chain analytics market is forecast to surpass USD 3.5 billion by 2026. 
End-markets are expected to further investments in the manufacturing analytics solution to collate and assess massive volume datasets using sophisticated technologies. Adoption of cloud technologies and the emergence of Industry 4.0 and IoTs will boost the penetration of supply chain analytics solutions in North America. The market share from the manufacturing analytics solution segment will expand at a healthy CAGR of 15% through 2026. 
The trend for cloud deployment will be pronounced given the use of cloud infrastructure among leading companies in the U.S. and Canada. It is worth mentioning that the cloud-based supply chain analytics solutions negate the need for high investments in on-premise IT resources. North America supply chain analytics market share from the cloud deployment segment is expected to be more than 50% by 2026, expanding at a strong CAGR of 20%. 
North America is slated to witness investments galore from large enterprises as they seek product portfolio expansion. Large enterprises are striving to infuse funds in supply chain infrastructure to streamline workflows. Supply chain solutions are sought-after in large enterprises to provide seamless supply of inventory.
The retail industry is likely to be the major recipient of supply chain analytics as the demand for innovative solutions continues to surge across North America. Illustratively, Tecsys Inc., rolled out Advanced Analytics to streamline retail supply chain management. Advanced analytics solutions are likely to help boost operational efficiency and visibility in supply chain operations. The industry share from the retail segment will gain a considerable uptick by 2026.
The U.S. is poised to boost revenue streams in supply chain analytics as both SMEs and large enterprises exhibit traction for the solution. It is worth noting that technology enterprises such as Oracle Corporation and IBM Corporation are contributing to the growth of the U.S. supply chain analytics industry value. For instance, Redwood Logistics inked a deal with Blue Yonder Group Inc., for the growth of integrated platforms. The U.S. market reigned supreme in 2019 with more than 75% of the regional share and will witness a bullish growth trajectory in the next five years.
Leading companies are infusing funds to streamline supply chain operations across the end-use applications. For instance, Oracle Corporation rolled out the advanced iteration of its Oracle Fusion Cloud Supply Chain and Manufacturing solution in September 2020. 
Industry players gearing to propel North America supply chain analytics market share are Blue Yonder Group Inc., IBM Corporation, Oracle Corporation, SAP SE, SAVI Technology and DataFactz, among others.
Report Content

Chapter 1   Methodology & Scope

1.1    Research methodology

1.2    List of data sources

1.2.1    Secondary

1.2.2    Primary

Chapter 2   Market Snapshot

2.1    North America supply chain analytics market snapshot, 2015 - 2026

Chapter 3   North America Supply Chain Analytics Trends

3.1    Industry coverage

3.2    Industry size, 2015 - 2026

3.3    Impact of COVID-19

3.4    Value chain analysis

3.4.1    Company product snapshot

3.5    Innovation landscape

3.6    Regulatory norms & directives

3.7    Drivers & restraints

3.7.1    Growth drivers

3.7.1.1    Market drivers

3.7.1.2    Market restraints

3.8    Industry analysis -Porter's five forces

3.9    Competitive benchmarking, 2019

3.9.1    Strategy dashboard

3.10    PEST analysis

Chapter 4   North America Supply Chain Analytics Market, By Component

4.1    Market trends, by component

4.2    Solution

4.2.1    Market estimates and forecast, 2015 - 2026

4.2.2    Demand Planning

4.2.2.1    Market estimates and forecast, 2015 - 2026

4.2.3    Procurement Analytics

4.2.3.1    Market estimates and forecast, 2015 - 2026

4.2.4    Inventory Analytics

4.2.4.1    Market estimates and forecast, 2015 - 2026

4.2.5    Manufacturing Analytics

4.2.5.1    Market estimates and forecast, 2015 - 2026

4.2.6    Logistics Analytics

4.2.6.1    Market estimates and forecast, 2015 - 2026

4.3    Service

4.3.1    Market estimates and forecast, 2015 - 2026

4.3.2    Professional Service

4.3.2.1    Market estimates and forecast, 2015 - 2026

4.3.3    Managed Service

4.3.3.1    Market estimates and forecast, 2015 - 2026

Chapter 5   North America Supply Chain Analytics Market, By Organization Size

5.1    Market trends, by organization size

5.2    Large Enterprises

5.2.1    Market estimates and forecast, 2015 - 2026

5.3    SMEs

5.3.1    Market estimates and forecast, 2015 - 2026

Chapter 6   North America Supply Chain Analytics Market, By Deployment Model

6.1    Market trends, by deployment model

6.2    On-premise

6.2.1    Market estimates and forecast, 2015 - 2026

6.3    Cloud

6.3.1    Market estimates and forecast, 2015 - 2026

Chapter 7   North America Supply Chain Analytics Market, By Application

7.1    Market trends, by application

7.2    Retail

7.2.1    Market estimates and forecast, 2015 - 2026

7.3    Manufacturing

7.3.1    Market estimates and forecast, 2015 - 2026

7.4    Transportation and Logistics

7.4.1    Market estimates and forecast, 2015 - 2026

7.5    Healthcare

7.5.1    Market estimates and forecast, 2015 - 2026

7.6    Government and Defense

7.6.1    Market estimates and forecast, 2015 - 2026

7.7    Automotive

7.7.1    Market estimates and forecast, 2015 - 2026

7.8    Energy and Utilities

7.8.1    Market estimates and forecast, 2015 - 2026

Chapter 8   North America Supply Chain Analytics Market, By Region

8.1    Market trends, by region

8.2    U.S.

8.2.1    Market estimates and forecast, 2016 - 2027

8.2.2    Market estimates and forecast, by component, 2016 - 2027

8.2.2.1    Market estimates and forecast, by solution, 2016 - 2027

8.2.2.2    Market estimates and forecast, by service, 2016 - 2027

8.2.3    Market estimates and forecast, by organization size, 2016 - 2027

8.2.4    Market estimates and forecast, by deployment model, 2016 - 2027

8.2.5    Market estimates and forecast, by application, 2016 - 2027

8.3    Canada

8.3.1    Market estimates and forecast, 2016 - 2027

8.3.2    Market estimates and forecast, by component, 2016 - 2027

8.3.2.1    Market estimates and forecast, by solution, 2016 - 2027

8.3.2.2    Market estimates and forecast, by service, 2016 - 2027

8.3.3    Market estimates and forecast, by organization size, 2016 - 2027

8.3.4    Market estimates and forecast, by deployment model, 2016 - 2027

8.3.5    Market estimates and forecast, by application, 2016 - 2027

Chapter 9   Company Profiles

9.1    Antuit.ai

9.1.1    Business Overview

9.1.2    Financial Data

9.1.3    Product Landscape

9.1.4    Strategic Outlook

9.1.5    SWOT Analysis

9.2    Axway Inc.

9.2.1    Business overview

9.2.2    Financial data

9.2.3    Product landscape

9.2.4    Strategic outlook

9.2.5    SWOT analysis

9.3    Blue Yonder Group Inc.

9.3.1    Business Overview

9.3.2    Financial Data

9.3.3    Product Landscape

9.3.4    Strategic Outlook

9.3.5    SWOT Analysis

9.4    IBM Corporation

9.4.1    Business Overview

9.4.2    Financial Data

9.4.3    Product Landscape

9.4.4    Strategic Outlook

9.4.5    SWOT Analysis

9.5    Manhattan Associates Inc.

9.5.1    Business Overview

9.5.2    Financial Data

9.5.3    Product Landscape

9.5.4    Strategic Outlook

9.5.5    SWOT Analysis

9.6    Oracle Corporation

9.6.1    Business Overview

9.6.2    Financial Data

9.6.3    Product Landscape

9.6.4    Strategic Outlook

9.6.5    SWOT Analysis

9.7    Sage Clarity Systems

9.7.1    Business Overview

9.7.2    Financial Data

9.7.3    Product Landscape

9.7.4    Strategic Outlook

9.7.5    SWOT Analysis

9.8    SAP SE

9.8.1    Business Overview

9.8.2    Financial Data

9.8.3    Product Landscape

9.8.4    Strategic Outlook

9.8.5    SWOT Analysis

9.9    SAS Institute Inc.

9.9.1    Business Overview

9.9.2    Financial Data

9.9.3    Product Landscape

9.9.4    Strategic Outlook

9.9.5    SWOT Analysis

9.10    SAVI Technology

9.10.1    Business Overview

9.10.2    Financial Data

9.10.3    Product Landscape

9.10.4    Strategic Outlook

9.10.5    SWOT Analysis

9.11    Tableau Software LLC

9.11.1    Business Overview

9.11.2    Financial Data

9.11.3    Product Landscape

9.11.4    Strategic Outlook

9.11.5    SWOT Analysis

9.12    TIBCO Software

9.12.1    Business Overview

9.12.2    Financial Data

9.12.3    Product Landscape

9.12.4    Strategic Outlook

9.12.5    SWOT Analysis


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