"Need to manage a large amount of data is triggering the supply chain analytics market growth"
The global supply chain analytics market is expected to grow with a CAGR of more than 15.0% during the forecast period from 2023 to 2030, starting from US$ 4.5 Bn in 2020. Increasing number of manufacturing facilities, growing volume of the business data generated by enterprises, and managing supplier relationship primarily drive increasing adoption of supply chain analytics tools. Some of the factors driving the growth of supply chain analytics market include need for improvement in productivity and reduce the operational costs and rising necessity to maintain and enhance customer satisfaction. Moreover, greater need to attain sustainable business development is also increasing the adoption of supply chain analytics tools.
However, lack of awareness and low visibility of the real-time data is impacting the supply chain analytics market growth. Also, supply chain analytics is a high-cost product for small scale and medium scale enterprises which is another factor affecting its adoption rate.
"The software segment expected to lead the supply chain analytics services market over the forecast period"
By components, the software segment is expected to witness a rapid growth in the global supply chain analytics market. As these solutions are largely adopted in various industries, the market size for supply chain analytics software is gradually increasing. Companies are upgrading their existing solutions and are investing in developing new software solutions to smoothen the processes of their clients. Additionally, the cloud-based model of supply chain analytics market are expected to witness double-digit growth over the forecast period.
"North America to Hold the Major Market Share"
Geographically, North America holds the largest market share in the global supply chain analytics market in 2020. With growing industrial sectors and penetration of information technology in these industries is generating a huge volume of data. This data needs to be segregated in an efficient manner which drives the demand for supply chain analytics solutions. However, Asia-Pacific is likely to be the fastest-growing regional segment during the forecast period. Increasing adoption of advanced technologies and the expansion of international players in this region are fuelling the growth of this regional segment.
Some of the leading players operating in the supply chain analytics market include MicroStrategy Inc., IBM Corporation, Oracle, SAP SE, Tableau Software, Accenture, PeopleSoft Inc., Genpact, SAS Institute Inc., JDA Software Group, among others.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Supply Chain Analytics market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE | DETAILS |
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Billion |
Segmentation | |
Software
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Services
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Deployment Model
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Region Segment (2022-2032; US$ Billion)
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Key questions answered in this report