GITNUX MARKETDATA REPORT 2024

Supply Chain Analytics Industry Statistics

The global supply chain analytics market is expected to reach a value of $9.87 billion by 2025, with a CAGR of 15.1% from 2020 to 2025.

In this post, we will explore key statistics and insights in the supply chain analytics industry. From the projected market growth to the impact of data-driven decision-making, these statistics shed light on the importance of analytics in optimizing supply chain operations and driving business success.

Statistic 1

"70% of companies place supply chain performance in their top management's strategic agenda."

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Statistic 2

"The supply chain analytics market size was valued at USD 3.6 billion in 2020."

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Statistic 3

"By 2027, the global supply chain analytics market is projected to reach USD 10.7 billion."

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Statistic 4

"SMEs (Small and Medium-sized Enterprises) are expected to grow at the highest CAGR in the supply chain analytics market during the forecast period."

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Statistic 5

"In 2021, North America has the largest market share in supply chain analytics, followed by Europe and Asia Pacific."

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Statistic 6

"Retail industry is predicted to hold the largest market size in the supply chain analytics market."

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Statistic 7

"About 25% of all big data analytics use cases will relate to the supply chain by 2026."

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Statistic 8

"In 5 years, supply chain analytics investment is expected to grow by nearly 50%."

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Statistic 9

"Over 60% of data-driven organizations indicated significant improvement in supply chain efficiency through analytics."

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Statistic 10

"Roughly 96% of supply chain professionals say that business intelligence and analytics are critical to supply chain operations."

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Statistic 11

"Nearly 79% of companies with high-performing supply chains achieve revenue growth greater than the average within their industries."

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Statistic 12

"Supply chain problems caused by COVID-19 pandemic is likely to increase investment in supply chain resilience by 20%."

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Statistic 13

"By 2023, at least 50% of large global companies will be using AI, advanced analytics, and IoT in supply chain operations."

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Statistic 14

"Businesses implementing AI and advanced analytics have achieved a reduction in supply chain forecasting errors by 20-50%."

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Statistic 15

"To cut costs, around 87.4% of businesses decide to invest in supply chain analytics."

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Statistic 16

"Amazon's supply chain uses big data analytics to reduce the operational costs by 10 to 20% year over year."

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Statistic 17

"47% of respondents in a global survey conducted by PwC said they were "very confident" about using advanced analytics in their supply chains."

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Statistic 18

"Real-time analytics can improve supply chain efficiency by 30%."

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The statistics presented highlight the increasing significance and impact of supply chain analytics in the industry. With a growing market size and projections for continued growth, the adoption of analytics solutions is expected to drive improvements in supply chain efficiency, cost reduction, and resilience. The data indicates a strong correlation between utilizing analytics and achieving revenue growth, as well as reducing forecasting errors. Businesses across various industries are recognizing the critical role of data analysis in optimizing supply chain operations. As companies continue to invest in advanced analytics technologies and embrace real-time data insights, we can anticipate further advancements in supply chain performance and competitiveness in the global market.

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