U.S., Japan, and Korea SaaS Based Supply Chain Planning (SCP) Market Size By Deployment Mode (Public, Private and Hybrid), By Organization Size (Large-scale Enterprise, Medium Enterprise, and Small Enterprise), By Application (Demand Management/Inventory Optimization, Supply Planning, Network Planning), By Geographic Scope And Forecast

U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market Size And Forecast

U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market size was valued at USD 1,679.57 Million in 2022 and is projected to reach USD 4,045.56 Million by 2030, growing at a CAGR of 11.55% from 2024 to 2030.

The increasing demand for advanced analytics and Artificial Intelligence (AI) is a significant driver for the growth of the SaaS-based Supply Chain Planning (SCP) market. The U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

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What is SaaS Based Supply Chain Planning (SCP)?

Supply Chain Planning (SCP) is the process of strategically and tactically designing, optimizing, and managing the flow of goods, information, and resources across the entire supply chain network. In order to make sure that the correct items are accessible at the right time, in the right quantity, and at the right location, it entails the coordination of operations like as demand forecasting, inventory management, production planning, procurement, transportation, and distribution. SCP aims to achieve optimal supply chain performance by balancing supply and demand, minimizing costs, maximizing efficiency, and improving customer satisfaction. It considers factors such as market demand, production capacities, inventory levels, lead times, transportation constraints, and service level requirements.

Further benefits of supply chain planning include such as: data gathering decision-making can be enhanced and time-sensitive operations, like just-in-time manufacturing, can be facilitated by having access to accurate, real-time data. Current inventory data can enable lean production and save overhead in inventory management. Efficiency Having precise demand and production forecasts can aid businesses in identifying inefficiencies like wasted raw materials and excess inventories. Profit margins can be increased by tracking consumer mood and product demand to increase customer satisfaction. Demand planning in product lifecycle management (PLM) can assist in coordinating the creation of products with consumer demand.

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U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market Overview

The increasing demand for advanced analytics and Artificial Intelligence (AI) is a significant driver for the growth of the SaaS-based Supply Chain Planning (SCP) market. Advanced analytics and AI techniques enable businesses to leverage historical data, external factors, and demand patterns to improve forecasting accuracy. SaaS-based SCP solutions leverage these capabilities to provide more accurate demand forecasts, enabling businesses to optimize inventory levels, reduce stockouts, and improve customer service. Also, Advanced analytics and AI algorithms enable optimization and simulation capabilities within SCP solutions. These technologies can analyse complex supply chain data, constraints, and objectives to generate optimal plans for cost, lead time, capacity, and service levels. This helps businesses make informed decisions and optimize their supply chain operations.

In addition, the SaaS-based SCP market is driven by increased demand for cloud-based software across various sectors. Over on-premises software, the cloud-based version has several advantages. Businesses use the cloud to save operational expenses and improve their operations since it offers pay-per-usage licensing and requires less IT setup. Also, cloud SCP vendors are updating their product offerings, which is projected to lower the price of the systems further. As businesses increasingly recognize the benefits of cloud-based SCP solutions, the market is expected to expand further.

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market: Segmentation Analysis

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market is segmented into Deployment Mode, Organization Size, Application, And Geography.

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market, By Deployment Mode

• Public
• Private
• Hybrid

Based on Deployment Mode, the market is bifurcated into Public, Private, Hybrid. Public is expected to dominated the SaaS Based Supply Chain Planning (SCP) market over the forecast period. A widely used cloud type is the “public cloud,” in which the company offering the cloud services controls the infrastructure and makes it freely accessible to users. The segment owns a major share as the public cloud offers various benefits minimal initial capital expenditure (transition from Capex to Opex), high flexibility, high scalability (nearly infinite), high reliability, and low maintenance expenses.

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market, By Organization Size

• Large-scale Enterprise
• Medium Enterprise
• Small Enterprise

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On the basis of Organization Size, the U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market has been segmented into Large-scale Enterprise, Medium Enterprise, Small Enterprise. Large-scale Enterprise is expected to dominated the SaaS Based Supply Chain Planning (SCP) market over the forecast period. The large enterprise segment dominated the market share in 2021 and is expected to continue this trend during the SaaS SCP Market forecast period, owing to an increase in the adoption of supply chain planning solutions to integrate into their existing software and inventories.

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market, By Application

• Demand Management/Inventory Optimization
• Supply Planning
• Network Planning
• Others

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On the basis of Application, the U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market has been segmented into Demand Management/Inventory Optimization, Supply Planning, Network Planning, Others. Management/Inventory Optimization is expected to dominated the SaaS Based Supply Chain Planning (SCP) market over the forecast period. Demand management is a kind of planning. Companies use it to estimate demand for goods and services and plan how to meet that demand. The enterprises can precisely feel, predict, and influence demand owing to comprehensive analytics, social collaboration, and mobility capabilities that improve business insights and foster teamwork. Hence, rising need for demand management and inventory optimization is anticipated to the market growth.

U.S., Japan, and South Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market, By Geography

• US
• Japan
• South Korea

On the basis of regional analysis, the U.S., Japan, and South Korea SaaS Based Supply Chain Planning (SCP) Market is classified into U.S., Japan, and South Korea. U.S. accounted for the largest market share and is projected to grow at a rapid rate during the forecast period. Due to increased spending on transportation and logistics, which encourages the adoption of automation technologies in logistics and supply chains, the United States is anticipated to maintain its leadership during the forecast period. The shipping, railroad, and air services sectors are only a few of the many enterprises that make up this area’s large and highly competitive transportation and logistics sector. Small businesses are the backbone of the U.S. economy. The number of Small businesses and their increasing growth is shown in the following figure.

Key Players

The major players in the market are Oracle Corporation, SAP SE, Blue Yonder Inc., Descartes Systems Group Inc., Epicor Software Corporation, Highjump Software Inc., International Business Machines (IBM) Corporation, Infor Inc., Kinaxis Inc., and Logility Inc. Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players.

Key Developments

• In 2020, Oracle introduced its Autonomous Supply Chain solution, which uses machine learning and artificial intelligence to automate supply chain planning and execution. This solution is designed to help customers reduce costs, improve efficiency, and respond more quickly to changing market conditions.
• IBM has launched a new IBM Supply Chain Partner Solution Showcase, which catalogues IBM Business Partner-provided solutions built on top of their supply chain and B2B technologies. With their newly developed IBM Supply Chain Partner Solution Showcase, they now provide an online catalogue highlighting their partners’ work with IBM supply chain software that can be searched by anybody seeking for a supply chain solution that satisfies their requirements.

Ace Matrix Analysis

The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.

Market Attractiveness

The image of market attractiveness provided would further help to get information about the segment that is majorly leading in the U.S., Japan, and Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market. We cover the major impacting factors that are responsible for driving the industry growth in the given geography.

Porter’s Five Forces

The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. Porter’s five forces model can be used to assess the competitive landscape in the U.S., Japan, and Korea SaaS Based SaaS Based Supply Chain Planning (SCP) Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

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