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Global Supply Chain Analytics Market: Industry Analysis and Forecast (2020-2026)

Submitted by pallavis on Thu, 08/26/2021 - 01:15

Global Supply Chain Analytics Market is expected to reach US$ XX Mn by 2026 from US$ XX Mn in 2020 at a CAGR of 17.5% during the forecast period.

The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region.
Supply Chain Analytics Definition:

Supply Chain Analytics is the tool, which helps deliver growth in revenues, improve margins, manage working capital in a better way and enhance the control points across the supply chain. It provides increased visibility, enables actionable insights with advanced analytics tools such as cost sensitivity analysis, should-cost analysis, and dynamic fleet routing, resulting in supply chain processes that sense, run, and learn from the outcome of actions, at scale to meet the needs of the changing supply chain and maintain a competitive edge.
Global Supply Chain Analytics Market Dynamics:

Commodity volatility, changing demand forecasts, and supplier-specific challenges have affected nearly every organization including those with the leading managed supply chains in the world. Even top supply chain performers have faced embarrassing stock-outs during periods of unanticipated demand in recent years. Demand volatility has increased significantly and permanently, making demand and inventory management a challenge.

Advanced analytics is applied to these areas to more accurately anticipate demand, predict and monitor supply and replenishment policies, and plan inventory flow of goods and services. The latter is especially relevant for customer-focused organizations, allowing them to leverage their historic data sources to optimize service levels, augment investment decisions, and improve supplier performance and quality controls. Companies will also be able to run simulations on best-fit solutions, program contextual exception handling alerts, and use multi-criteria inventory ranking with the assistance of advanced analytics, which are some of the driving factors contributing to the growth of the Global Supply Chain Analytics Market.

Globalization has created an explosion in the number and types of suppliers, manufacturing units, and distribution locations. While the business growth opportunities are convincingly strong, growing product variance tailored to globally dispersed customers has created a complex web of regional supply chains that must be closely and carefully monitored. Increasing supply chain efficiency begins with enhancing basic metrics and reporting, as they provide the essential data for performance improvement initiatives and end-to-end visibility of their extended supply chains.

However, irreversible globalization is making it necessary to go beyond the basics to achieve maximum impact. Advanced analytics-driven control towers can monitor real-time critical events and KPIs through multiple touchpoints. When combined with predictive analytics, control towers can provide valuable savings in areas such as freight optimization for the customer; a centralized KYC would contribute in a big way. So, the advantages achieved like an increase in supply chain responsiveness, optimize cost, and minimize customer impact are expected to drive the Global Supply Chain Analytics Market.

Fluctuating demand patterns and an expanding base of suppliers and logistics partners have driven companies to continuously rethink their logistics network strategies. Companies can realize strong ROI improvements through analytics-driven planning activities, such as route optimization, load planning, fleet sizing, and freight cost reconciliation. Instead of isolated changes to network metrics, analytics teams can centrally monitor and adjust network designs periodically for increased cost reduction, which is the main driving factor to propel the growth of the Global Supply Chain Analytics Market.
Global Supply Chain Analytics Market Segment Analysis:

The report groups the Global Supply Chain Analytics Market in different segments like by component, by deployment, by enterprise size, by end-user and by region to forecast the revenues and analyse the market share of each segment over the forecast period.

Global Supply Chain Analytics Market

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Based on Enterprise size, the SME segment was dominant in 2019 and is expected to command a market share of xx% by 2026. The increasing number of government initiatives through various digital SME campaigns throughout the globe is expected to drive the growth of small and medium enterprises. The adoption of information technology to enable digital services across different business channels in SMEs is expected to drive the segment demand for supply chain analytics.

Based on end-user, the Global Supply Chain Analytics Market is segmented into Manufacturing, Food and Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods. The Retail sector segment was dominant in 2019 and is expected to command a market share of xx% by 2026.
Global Supply Chain Analytics Market Insights:

North America is expected to command the largest market share of xx% by 2026

Because of the presence of a large number of solution vendors in the developed economies like the US and Canada the demand for supply chain analytics is more in the region. Major retail chains in the region have already embraced analytics in their supply chain processes and are gaining numerous benefits from it.
Walmart is the best example of it in North America, which initiated its data café developed on SAP HANA in-memory engine. Walmart Data Café gathers around 200 streams of data from both internal and external sources, which include 40 petabytes of the recent transactional data.

The objective of the report is to present a comprehensive analysis of the Global Supply Chain Analytics Market to the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The report also helps in understanding the Global Supply Chain Analytics Market dynamics, structure by analyzing the market segments and projects the Global Supply Chain Analytics Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Global Supply Chain Analytics Market make the report investor’s guide.
Global Supply Chain Analytics Market, Key Highlights:

• Global Supply Chain Analytics Market analysis and forecast, in terms of value.

• Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Global Supply Chain Analytics Market

• Global Supply Chain Analytics Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided.

• Global Supply Chain Analytics Market strategic analysis with respect to individual growth trends, future prospects along with the contribution of various sub-market stakeholders have been considered under the scope of study.

• Global Supply Chain Analytics Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.

• Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.

• Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Global Supply Chain Analytics Market are also profiled.

The report has considered the base year of 2019 and past four years trend. 2020 figures are at actuals, however due to different dynamics of year 2020, market forecast is not only dependent upon 2020, but on the basis of 2016-2020.

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Global Supply Chain Analytics Market Scope: Inquire before buying

Global Supply Chain Analytics Market Key Players:

• IBM
• SAP
• MicroStrategy
• Tableau
• Qlik
• TIBCO
• Cloudera
• Logility
• Savi Technology
• Infor
• RELEX Solutions
• TARGIT
• Voxware
• The AnyLogic Company
• Antuit
• Axway
• Domo
• Datameer
• 1010data
• Rosslyn Analytics
• Blue Yonder
• Manhattan Associates
• Accenture PLC

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