Cloud based Demand Planning Solution

Cloud-Based Demand Planning Solution Market Outlook

The global cloud-based demand planning solution market is projected to reach approximately $3.4 billion by 2035, growing at a compound annual growth rate (CAGR) of around 15.2% during the forecast period from 2025 to 2035. This robust growth can be attributed to the increasing need for businesses to leverage advanced analytics for effective demand forecasting, alongside the rise in automation and digital transformation initiatives across various industries. The ongoing shift towards cloud computing solutions is further underscoring the demand for scalable, flexible, and cost-effective planning tools that can integrate seamlessly with existing enterprise resource planning (ERP) systems. In addition, the growing focus on enhancing supply chain efficiency and improving customer service levels is driving organizations to adopt cloud-based technologies that provide real-time visibility and insights. The increasing complexity of supply chains, coupled with volatile market conditions, necessitates sophisticated demand planning solutions that can adapt to changing dynamics and consumer behaviors.

Growth Factor of the Market

The growth of the cloud-based demand planning solution market is propelled by several key factors that influence demand across various industries. Firstly, the rapid digital transformation initiatives being undertaken by organizations are pushing them toward adopting cloud solutions for efficient demand planning. These solutions offer enhanced collaboration capabilities, enabling teams across different geographical locations to work together seamlessly. Secondly, rising competition among businesses necessitates the need for accurate forecasting and inventory management, which can be effectively achieved through advanced cloud-based tools. Moreover, the increasing adoption of IoT and machine learning technologies in supply chain management is providing organizations with the tools to analyze data more effectively, leading to improved demand forecasting accuracy. Additionally, the growing emphasis on customer experience is compelling businesses to adopt solutions that allow for greater responsiveness to consumer trends and preferences. Lastly, the shift towards subscription-based pricing models in cloud solutions reduces upfront costs, making it easier for organizations of all sizes to integrate demand planning tools into their operations.

Key Highlights of the Market

• The cloud-based demand planning solution market is expected to experience significant growth at a CAGR of 15.2% from 2025 to 2035.
• Public cloud solutions are anticipated to dominate the deployment type segment due to their scalability and cost-effectiveness.
• Large enterprises are increasingly adopting cloud-based solutions for enhanced forecasting and demand management capabilities.
• Retail and manufacturing verticals are the leading adopters of cloud demand planning tools, driven by the need for precise inventory management.
• The Asia Pacific region is projected to witness the highest growth rate, fueled by the rapid digitalization of businesses and increasing investment in cloud technologies.

By Deployment Type

Public Cloud:

Public cloud deployment is the most prevalent model for cloud-based demand planning solutions, offering numerous advantages that cater to a wide range of organizations. This model allows businesses to access demand planning tools over the internet, enabling real-time collaboration and data sharing among teams. The scalability offered by public cloud solutions is unmatched, as organizations can easily expand their usage based on fluctuating demand without the need for heavy initial capital investments. Additionally, public cloud solutions typically come with robust security measures implemented by service providers, thus ensuring data integrity and compliance with regulatory standards. Moreover, the pay-as-you-go model reduces financial barriers for small and medium enterprises, enabling them to harness advanced demand planning technologies without significant upfront costs. As such, public cloud demand planning solutions are favored by organizations looking to optimize their supply chain operations while minimizing financial risks.

Private Cloud:

Private cloud solutions provide organizations with enhanced control and security over their demand planning applications, making them an attractive option for businesses with stringent data security requirements. Private clouds are dedicated environments that cater solely to one organization, offering tailored solutions that align closely with specific business needs. This deployment type ensures that sensitive information remains confidential and protected from potential external threats. The flexibility of private cloud solutions allows for customization of demand planning tools, enabling organizations to develop unique forecasting models that accommodate their operational complexities. While the initial investment for private clouds may be higher compared to public clouds, the benefits of increased security and customization often justify the costs for large enterprises or those in highly regulated industries. Additionally, private clouds facilitate seamless integration with existing IT infrastructure, ensuring a smooth transition and minimizing disruptions to operations.

Hybrid Cloud:

Hybrid cloud deployment combines the advantages of both public and private cloud models, offering organizations a versatile solution for their demand planning needs. This approach allows businesses to maintain sensitive data on a private cloud while leveraging public cloud resources for less critical applications. The hybrid model provides flexibility, as organizations can scale their demand planning processes based on seasonal fluctuations or market changes without compromising data security. Additionally, hybrid clouds enable organizations to take advantage of the cost-effectiveness and scalability of public clouds while retaining control over sensitive data in private environments. This deployment type is particularly beneficial for organizations that experience significant variability in demand, as it allows them to balance workloads between the two environments efficiently. As a result, the hybrid cloud deployment is gaining popularity among businesses that require a dynamic and scalable approach to demand planning while ensuring data security and compliance.

By Organization Size

Small and Medium Enterprises:

Small and medium enterprises (SMEs) are increasingly adopting cloud-based demand planning solutions to streamline their operations and enhance supply chain efficiency. For SMEs, the cost-effectiveness and scalability of cloud solutions are particularly appealing, as they often face budget constraints and limited resources. Cloud-based demand planning tools provide SMEs with access to advanced analytics and forecasting capabilities that were previously only available to larger organizations. This democratization of technology enables SMEs to make data-driven decisions, optimize inventory levels, and respond promptly to market changes. Furthermore, the user-friendly interfaces and minimal IT infrastructure requirements of cloud solutions make them accessible to SMEs without requiring extensive technical expertise. By leveraging cloud-based demand planning, SMEs can improve operational efficiency, reduce costs, and enhance customer satisfaction by delivering products more effectively.

Large Enterprises:

Large enterprises represent a substantial segment of the cloud-based demand planning solution market, driven by their complex supply chain requirements and significant data volumes. These organizations often face challenges related to demand variability, global supply chains, and the need for precise forecasting to maintain competitive advantages. Cloud-based demand planning solutions offer large enterprises the ability to analyze vast amounts of data in real-time, allowing for more accurate demand forecasts and streamlined production processes. Moreover, the collaborative features of cloud solutions enable cross-departmental coordination, facilitating information sharing and aligned decision-making across teams. Large enterprises also benefit from extensive customization options, allowing them to tailor demand planning tools to their specific operational intricacies. As such, the adoption of cloud-based demand planning solutions is becoming essential for large enterprises seeking to optimize their supply chain operations and stay ahead of market trends.

By Application

Forecasting:

Forecasting is a critical application of cloud-based demand planning solutions, providing organizations with the tools necessary to predict future demand accurately. Accurate forecasting is essential for managing inventory levels, optimizing production schedules, and ensuring that customer demands are met without overstocking or stockouts. Cloud-based solutions leverage advanced algorithms and machine learning techniques to analyze historical data, market trends, and external factors that may impact demand. This analytical capability allows organizations to generate reliable forecasts that inform decision-making across various functional areas, including marketing, sales, and operations. The advantage of cloud-based forecasting lies in its ability to offer real-time insights, enabling organizations to adjust their strategies promptly in response to changing market conditions. Ultimately, effective forecasting through cloud-based solutions enhances operational efficiency, reduces costs, and improves customer satisfaction by ensuring timely availability of products.

Inventory Management:

Inventory management is another pivotal application of cloud-based demand planning solutions, enabling organizations to maintain optimal inventory levels while minimizing carrying costs. These solutions provide real-time visibility into inventory levels, allowing businesses to track stock across various locations and make informed decisions regarding replenishment. The integration of cloud-based inventory management with demand forecasting tools helps organizations align their inventory with actual demand patterns, reducing the risk of excess stock or shortages. Furthermore, cloud solutions facilitate automated inventory tracking and reporting, improving accuracy and efficiency in warehouse operations. By optimizing inventory management through cloud-based tools, organizations can enhance their cash flow, reduce waste, and improve overall supply chain performance. As a result, organizations are increasingly turning to cloud-based inventory management solutions to gain a competitive edge in their respective markets.

Sales and Operations Planning:

Sales and Operations Planning (S&OP) is a strategic application of cloud-based demand planning solutions that fosters collaboration between sales, marketing, and operations teams. S&OP processes are crucial for aligning supply and demand, ensuring that organizations can meet customer needs while optimizing resource utilization. Cloud-based S&OP solutions facilitate data sharing and communication across departments, enabling teams to collaborate effectively and develop integrated business plans. By leveraging real-time data and analytics, organizations can assess demand trends, monitor performance metrics, and make informed decisions regarding production and inventory levels. Moreover, cloud-based S&OP solutions enhance visibility into the entire supply chain, allowing organizations to respond rapidly to changes in demand or market conditions. As such, S&OP is becoming an increasingly important application of cloud-based demand planning solutions, driving efficiency and profitability for organizations across various industries.

By Vertical

Retail:

The retail sector is one of the leading adopters of cloud-based demand planning solutions, driven by the need for accurate forecasting, efficient inventory management, and improved customer satisfaction. In the fast-paced retail environment, businesses must be able to respond quickly to changing consumer preferences and seasonal demand fluctuations. Cloud-based solutions allow retailers to analyze historical sales data, market trends, and promotional activities to generate reliable demand forecasts. This capability enables retailers to optimize their inventory levels, ensuring that popular products are always available while minimizing excess stock. Furthermore, the integration of cloud-based demand planning with point-of-sale systems enhances visibility into real-time sales data, facilitating quicker decision-making and more effective merchandising strategies. As retailers continue to embrace digital transformation, the demand for cloud-based planning solutions is expected to grow significantly, providing them with the tools necessary to stay competitive in an evolving marketplace.

Manufacturing:

Manufacturing is another critical vertical benefiting from cloud-based demand planning solutions, which facilitate better alignment between production schedules and customer demand. Successful manufacturing operations rely on accurate demand forecasts to optimize production processes, minimize waste, and enhance overall efficiency. Cloud-based solutions enable manufacturers to analyze data from various sources, including sales trends, customer feedback, and market insights, to generate reliable demand forecasts. This data-driven approach allows manufacturers to make informed decisions regarding production planning, inventory management, and resource allocation. Additionally, cloud-based demand planning solutions enhance collaboration among different departments, facilitating communication between sales, production, and logistics teams. As the manufacturing sector continues to evolve with advancements in technology and automation, the adoption of cloud-based demand planning solutions is becoming increasingly vital for achieving operational excellence.

Healthcare:

The healthcare sector is increasingly turning to cloud-based demand planning solutions to enhance resource management and improve patient care outcomes. The dynamic nature of healthcare demand, influenced by factors like seasonal illnesses or changes in demographic trends, necessitates accurate forecasting to ensure the availability of medical supplies and personnel. Cloud-based solutions provide healthcare organizations with real-time insights into patient needs, allowing them to optimize staffing levels, manage inventory of medical supplies, and ensure that essential products are always on hand. Furthermore, the ability to collaborate across departments and share data seamlessly is crucial for healthcare providers, as it enhances communication and decision-making processes. As healthcare organizations strive to improve operational efficiency and patient satisfaction, the demand for cloud-based demand planning solutions is expected to grow significantly.

Automotive:

The automotive industry is heavily reliant on precise demand planning to manage complex supply chains and fluctuating consumer preferences. Cloud-based demand planning solutions offer automotive manufacturers the ability to analyze trends in vehicle sales, monitor market conditions, and optimize production schedules. By leveraging advanced analytics, automotive companies can generate accurate demand forecasts that inform decisions related to inventory management, production planning, and supplier coordination. Additionally, the collaborative capabilities of cloud-based solutions enable various stakeholders, such as manufacturers, suppliers, and dealers, to work together more effectively, ensuring a synchronized approach to demand management. As the automotive industry continues to embrace digital transformation and innovation, cloud-based demand planning solutions will play a critical role in enhancing operational efficiency and responsiveness to market demands.

Food and Beverage:

The food and beverage sector represents a significant opportunity for cloud-based demand planning solutions, as accurate forecasting is essential for managing perishable inventory and ensuring product availability. The complexities of the food supply chain, combined with consumer preference variability, necessitate precise demand planning to minimize waste and optimize production schedules. Cloud-based solutions enable food and beverage companies to analyze sales data, track seasonal trends, and monitor consumer preferences in real-time, allowing for enhanced inventory management and efficient production planning. Moreover, these solutions facilitate collaboration among various stakeholders, including suppliers, manufacturers, and retailers, ensuring a cohesive approach to demand management. As the food and beverage industry continues to evolve with changing consumer trends and increased competition, cloud-based demand planning solutions will be instrumental in driving operational efficiency and improving customer satisfaction.

By Region

The North American region is currently leading the cloud-based demand planning solution market, accounting for approximately 35% of the global share. This dominance can be attributed to the presence of numerous technology-driven companies and a strong focus on digital transformation initiatives across various industries. The region's mature infrastructure, along with the increasing adoption of cloud solutions by businesses of all sizes, is driving significant growth in the demand planning space. Furthermore, North America's robust investment in research and development, coupled with a skilled workforce, enables companies to innovate and enhance their demand planning capabilities continually. The CAGR for this region is estimated to be around 14.5%, reflecting the ongoing momentum in cloud-based technology adoption among organizations.

In Europe, the cloud-based demand planning solution market is also witnessing substantial growth, with a projected market share of around 30%. The region is characterized by a strong emphasis on sustainability and efficiency, prompting organizations to adopt cloud solutions that enhance their demand planning processes. Factors such as regulatory compliance, the need for data privacy, and the increasing complexity of supply chains are driving businesses to seek advanced cloud-based tools for better forecasting and inventory management. The CAGR for the European market is expected to be approximately 13.8% during the forecast period, as businesses continue to prioritize digital transformation and seek innovative solutions to enhance their operational capabilities.

Opportunities

As organizations increasingly recognize the importance of data-driven decision-making, there are significant opportunities for the cloud-based demand planning solution market to expand. One of the key opportunities lies in the growing adoption of artificial intelligence (AI) and machine learning (ML) technologies, which can enhance the accuracy of demand forecasting and inventory management. Integrating AI and ML into cloud-based solutions allows for more sophisticated analysis of historical data and the identification of patterns that can inform future demand. As businesses seek to improve their operational efficiency and responsiveness to market changes, the demand for advanced cloud-based solutions that incorporate AI-driven analytics is expected to rise significantly. This trend presents opportunities for technology providers to innovate and develop more sophisticated demand planning tools that cater to the evolving needs of businesses across various sectors.

Another opportunity for growth in the cloud-based demand planning solution market is the increasing focus on sustainability and circular economy principles. As businesses strive to reduce their environmental impact and meet consumer expectations for sustainable practices, demand planning solutions that optimize resource utilization and minimize waste are becoming more valuable. Cloud-based tools that provide insights into supply chain inefficiencies and promote sustainable sourcing practices can help organizations achieve their sustainability goals while enhancing their bottom line. Additionally, as regulatory bodies implement stricter environmental regulations, organizations will increasingly turn to cloud-based demand planning solutions to ensure compliance and mitigate risks associated with sustainability issues. This growing emphasis on sustainability presents a unique opportunity for technology providers to differentiate themselves by offering innovative demand planning solutions that align with the values of modern consumers and businesses alike.

Threats

Despite the promising growth prospects for the cloud-based demand planning solution market, several threats could potentially hinder progress. One of the most significant threats is the increasing concern regarding data security and privacy. As organizations migrate sensitive information to the cloud, they face heightened risks of data breaches and cyberattacks, which could compromise their operations and erode customer trust. The need to comply with various data protection regulations, such as GDPR and CCPA, adds another layer of complexity for businesses seeking to adopt cloud-based solutions. If service providers fail to implement robust security measures, businesses may hesitate to fully embrace cloud technologies, slowing the growth of the market. Consequently, addressing data security concerns and ensuring compliance with regulatory standards will be critical for cloud-based demand planning solution providers to sustain growth in this competitive landscape.

Another potential threat to the cloud-based demand planning solution market is the rapid pace of technological advancements. As new technologies emerge, organizations may struggle to keep up with the latest innovations and best practices in demand planning. This constant evolution can create uncertainty for businesses, leading them to delay investment in cloud-based solutions until they feel confident about the longevity and effectiveness of the technology. Furthermore, some organizations may opt to invest in on-premises solutions rather than transitioning to the cloud, due to concerns about integration challenges and potential disruptions to existing systems. As such, cloud-based demand planning solution providers must continually innovate and offer clear value propositions to ensure they remain competitive in an ever-changing technological landscape.

Competitor Outlook

• Oracle Corporation
• SAP SE
• IBM Corporation
• Infor (an Koch Industries company)
• Kinaxis Inc.
• Microsoft Corporation
• NetSuite (a subsidiary of Oracle)
• Demand Solutions
• Board International
• Brightpearl
• Blue Yonder
• JustEnough Software Corporation
• Logility, Inc.
• ToolsGroup
• QAD Inc.

The competitive landscape of the cloud-based demand planning solution market is characterized by the presence of several established players and emerging startups, all vying for market share in a rapidly growing industry. Key players such as Oracle, SAP, and IBM have made significant investments in cloud technologies, enhancing their demand planning offerings with advanced analytics, machine learning, and AI capabilities. These companies leverage their extensive resources and expertise in enterprise software to deliver comprehensive demand planning solutions that cater to diverse industry needs. Additionally, the presence of niche players and startups in the market fosters innovation and provides customers with a broader range of options, driving competition and encouraging continuous improvement in technology and service delivery.

Among the major companies, Oracle Corporation stands out with its robust suite of cloud-based applications, including supply chain management and demand planning solutions. Oracle's cloud platform enables businesses to streamline their planning processes, improve collaboration, and leverage predictive analytics for enhanced decision-making. Similarly, SAP SE offers a comprehensive range of cloud-based supply chain solutions, providing organizations with the tools necessary for effective demand forecasting and inventory optimization. SAP's integration capabilities with existing ERP systems further enhance its appeal to enterprises seeking seamless transitions to cloud-based environments. Both Oracle and SAP continue to lead the market with their strong brand recognition, extensive customer bases, and commitment to innovation.

Additionally, Kinaxis Inc. has carved a niche for itself in the cloud-based demand planning market, focusing on real-time visibility and agility in supply chain management. Its RapidResponse platform enables organizations to collaborate effectively and make data-driven decisions, positioning Kinaxis as a key player in the competitive landscape. Similarly, Blue Yonder, formerly known as JDA Software, has established itself as a leader in supply chain optimization and demand planning, offering advanced analytics and machine learning capabilities to enhance forecasting accuracy. These companies are committed to providing cutting-edge solutions to help businesses navigate the complexities of modern supply chains, reinforcing the overall growth of the cloud-based demand planning solution market.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 SAP SE
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 QAD Inc.
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 ToolsGroup
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Blue Yonder
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Brightpearl
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Kinaxis Inc.
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Logility, Inc.
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 IBM Corporation
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Demand Solutions
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Oracle Corporation
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Board International
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Microsoft Corporation
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 JustEnough Software Corporation
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 NetSuite (a subsidiary of Oracle)
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Infor (an Koch Industries company)
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Cloud based Demand Planning Solution Market, By Vertical
    • 6.1.1 Retail
    • 6.1.2 Manufacturing
    • 6.1.3 Healthcare
    • 6.1.4 Automotive
    • 6.1.5 Food and Beverage
  • 6.2 Cloud based Demand Planning Solution Market, By Application
    • 6.2.1 Forecasting
    • 6.2.2 Inventory Management
    • 6.2.3 Sales and Operations Planning
  • 6.3 Cloud based Demand Planning Solution Market, By Deployment Type
    • 6.3.1 Public Cloud
    • 6.3.2 Private Cloud
    • 6.3.3 Hybrid Cloud
  • 6.4 Cloud based Demand Planning Solution Market, By Organization Size
    • 6.4.1 Small and Medium Enterprises
    • 6.4.2 Large Enterprises

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Cloud based Demand Planning Solution Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Cloud based Demand Planning Solution market is categorized based on

By Deployment Type

• Public Cloud
• Private Cloud
• Hybrid Cloud

By Organization Size

• Small and Medium Enterprises
• Large Enterprises

By Application

• Forecasting
• Inventory Management
• Sales and Operations Planning

By Vertical

• Retail
• Manufacturing
• Healthcare
• Automotive
• Food and Beverage

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Oracle Corporation
• SAP SE
• IBM Corporation
• Infor (an Koch Industries company)
• Kinaxis Inc.
• Microsoft Corporation
• NetSuite (a subsidiary of Oracle)
• Demand Solutions
• Board International
• Brightpearl
• Blue Yonder
• JustEnough Software Corporation
• Logility, Inc.
• ToolsGroup
• QAD Inc.