At what pace is the demand planning solutions market growing, and what is its estimated value?
The demand planning solutions market size has grown rapidly in recent years. It will grow from $4.43 billion in 2024 to $4.89 billion in 2025 at a compound annual growth rate (CAGR) of 10.4%. The growth in the historic period can be attributed to globalization of supply chains, increased product variability, market dynamics and competitive pressures, e-commerce growth, regulatory compliance requirements
The demand planning solutions market size is expected to see rapid growth in the next few years. It will grow to $7.9 billion in 2029 at a compound annual growth rate (CAGR) of 12.7%. The growth in the forecast period can be attributed to real-time data and analytics, sustainability and environmental concerns, demand for integrated planning platforms, post-pandemic supply chain optimization. Major trends in the forecast period include integration with e-commerce platforms, enhanced user experience and intuitive interfaces, dynamic scenario planning, demand planning for omni-channel retail, integration of predictive analytics.
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What are the top drivers to the rising demand in the demand planning solutions market?
The increasing number of business entities is expected to propel the growth of the demand planning solutions market going forward. Business entities refer to legally recognized organizations that are formed to conduct business activities. They are separate and distinct from their owners and have legal rights and responsibilities. Demand planning solutions are used by business entities in various ways to improve their demand forecasting and planning processes. They improve forecasting accuracy, optimize inventory management, and enhance supply chain efficiency. So, these factors boost the demand for the planning solutions market. For instance, in May 2023, according to the United States Census Bureau, a US-based government agency, in 2022, the US estimated a total of 5.0 million enterprises, which is a 42 percent increase when compared to the previous year. Furthermore, in May 2023, according to NerdWallet, a US-based finance company, 33.2 million small businesses were introduced in the US by 2022. Therefore, the increasing number of business entities is driving the growth of the demand planning solutions market.
How is the demand planning solutions market segmented?
The demand planning solutions market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Deployment: Cloud-Based, On-Premise
3) By Enterprise: Small And Medium Sized Enterprises (SMEs), Large Enterprises
4) By End User: Automotive, Healthcare, IT And Telecom, Banking, Financial Services And Insurance (BFSI), Manufacturing, Food And Beverages, Other End Users
Subsegments:
1) By Solutions: Software (Cloud-Based, On-Premises), Demand Forecasting Tools, Inventory Management Tools, Analytics And Reporting Tools
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
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Who are the top competitors in the demand planning solutions market?
Major companies operating in the demand planning solutions market include International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Wolters Kluwer N.V., Infor, SAS Institute Inc., Blue Yonder, Manhattan Associates Inc., Coupa Software Inc., Anaplan, e2open LLC, Blue Ridge Solutions Inc., Kinaxis Inc., RELEX Solutions Srl, QAD Inc., OM Partners nv, American Software Inc., Aspire Systems Pvt. Ltd., Maropost Inc., ToolsGroup, Logiwa Technology Inc., FuturMaster, John Galt Solutions Inc., Gain Systems Inc., Arkieva Inc., Alloy Technologies Inc., GMDH Inc., Solvoyo, Business Forecast Systems Inc., Avercast LLC
What significant trends should we anticipate in the demand planning solutions market over the forecast period?
Technological advancement is a key trend gaining popularity in the demand planning solutions market. Major companies operating in the demand planning solutions market are adopting new technologies to sustain their position in the market. For instance, in March 2023, Zionex Inc., a South Korea-based provider of supply chain planning solutions, launched PlanNEL Beta. It is an innovative artificial intelligence (AI)-powered SaaS platform for demand forecasting and inventory optimization. It is designed to help manufacturing and distribution companies improve their supply chain performance by providing accurate demand forecasts and optimal inventory levels. PlanNEL uses a variety of AI techniques to generate demand forecasts, including machine learning, natural language processing, and computer vision. Additionally, it also includes some features to help companies optimize their inventory levels, such as demand-driven replenishment, safety stock optimization, and cycle counting.
Which regional trends are influencing the demand planning solutions market, and which area dominates the industry?
North America was the largest region in the demand planning solutions market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the demand planning solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Demand Planning Solutions Market Report 2025 Offer?
The demand planning solutions market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Demand planning solutions refer to the process of software or systems that help organizations to forecast and predict customer demand for their products or services. These solutions utilize historical sales data, market trends, and other relevant factors to generate accurate demand forecasts, enabling businesses to optimize their inventory management, production planning, and supply chain operations. Techniques and approaches used in demand planning solutions include statistical forecasting, collaborative planning, and demand sensing.
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