인공지능 기반 수요 예측 시장 보고서(2026년)

Artificial intelligence-powered demand forecasting refers to the application of machine learning algorithms and advanced analytics to estimate future customer demand for products or services. It evaluates extensive and diverse datasets, including historical sales records, market trends, and external influencing factors, to produce more accurate and adaptive forecasts than conventional forecasting methods.

The primary components of artificial intelligence-powered demand forecasting include software and services. Software refers to AI-enabled forecasting platforms that evaluate historical sales, market trends, and external data to forecast future demand patterns. These solutions are built using technologies such as machine learning, natural language processing, predictive analytics, and reinforcement learning. They are deployed through cloud, on-premises, and hybrid models and are used by end users including retailers, manufacturers, distributors, logistics providers, and others.

Tariffs are influencing the artificial intelligence-powered demand forecasting market by increasing the cost of imported cloud infrastructure, high-performance computing systems, and semiconductor-based processing units required for large-scale predictive analytics models. This is slowing the deployment of advanced forecasting solutions, particularly in regions dependent on global technology imports such as Asia-Pacific and Latin America. Segments such as cloud-based platforms and machine learning software are most affected due to higher infrastructure and integration costs across retailers, manufacturers, and distributors. However, tariffs are also encouraging localization of AI infrastructure, expansion of regional data centers, and development of domestic analytics capabilities, ultimately improving long-term resilience and innovation in demand forecasting ecosystems.

The artificial intelligence-powered demand forecasting market size has grown exponentially in recent years. It will grow from $5.64 billion in 2025 to $6.95 billion in 2026 at a compound annual growth rate (CAGR) of 23.4%. The growth in the historic period can be attributed to growth of enterprise data availability from digital channels, increasing adoption of ERP and analytics systems, expansion of e commerce sales volatility, rising use of historical sales data for planning, increasing digitization of retail and manufacturing operations.

The artificial intelligence-powered demand forecasting market size is expected to see exponential growth in the next few years. It will grow to $15.89 billion in 2030 at a compound annual growth rate (CAGR) of 22.9%. The growth in the forecast period can be attributed to expansion of AI powered predictive analytics platforms, rising demand for real time demand sensing capabilities, growth of omnichannel commerce ecosystems, increasing need for supply chain agility and resilience, adoption of machine learning based forecasting automation. Major trends in the forecast period include hyperlocal demand sensing using real time consumption data, omnichannel demand synchronization across retail platforms, event driven demand variability modeling, dynamic pricing elasticity based forecasting systems, collaborative cross enterprise demand planning ecosystems.

The increasing e-commerce penetration is expected to propel the growth of the artificial intelligence-powered demand forecasting market going forward. E-commerce penetration refers to the extent to which online retail channels are adopted and utilized by consumers and businesses within a specific market or population relative to total retail activity. The increasing e-commerce penetration is driven by growing internet and smartphone usage, enabling more consumers to access online shopping platforms conveniently and more frequently. Artificial intelligence-powered demand forecasting supports e-commerce by analyzing large volumes of real-time and historical data to accurately predict customer demand, optimize inventory levels, reduce stockouts and overstocking, and ultimately improve sales efficiency and customer satisfaction. For instance, in February 2025, according to the Census Bureau, a US-based government agency, total e-commerce sales in 2024 reached $1,192.6 billion, representing an 8.1% increase (+-1.1) compared to 2023, while the share of e-commerce in total retail sales increased from 15.3% in the previous year to 16.1% in 2024. Therefore, the increasing e-commerce penetration is driving the growth of the artificial intelligence-powered demand forecasting market.

Leading companies operating in the artificial intelligence-powered demand forecasting market are focusing on developing innovative solutions, such as revenue growth optimization solutions to enhance forecasting accuracy, optimize pricing and promotions, and improve overall revenue performance through data-driven decision-making. Revenue growth optimization (RGO) solutions are AI-driven platforms that help businesses maximize revenue by analyzing demand, pricing, promotions, and customer behavior to make more profitable commercial decisions. For example, in February 2026, Demand Chain AI Inc., a US-based AI planning and supply chain analytics company, launched Puls8 RGOX, an innovative AI-powered revenue growth optimization solution for consumer goods companies operating in the demand forecasting and trade promotion planning space. The solution replaces manual planning workflows by integrating AI-driven demand forecasting, automated scenario planning, and optimization engines into a unified platform that improves forecast accuracy and commercial decision-making. It features advanced promotional lift prediction models, constraint-aware optimization of trade spend, and seamless integration with ERP and TPM systems to ensure end-to-end execution from planning to activation. Additionally, it enables businesses to simulate multiple demand scenarios in real time, reduce forecast errors caused by disconnected data systems, and enhance return on investment from promotional and demand planning activities.

In August 2024, Blue Yonder Group Inc., a US-based AI-driven, end-to-end supply chain management company, acquired One Network Enterprises for an undisclosed amount. Through this acquisition, Blue Yonder aims to enhance its multi-enterprise supply chain visibility, improve real-time demand forecasting accuracy, and strengthen collaborative AI-driven supply chain orchestration capabilities across global trading networks. One Network Enterprises Inc. is a US-based company that provides artificial intelligence- or machine learning-driven demand forecasting and demand-driven planning solutions through its multi-party digital supply chain network.

Major companies operating in the artificial intelligence-powered demand forecasting market are Microsoft Corporation; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; SAS Institute Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; Kinaxis Inc.; Anaplan Inc.; o9 Solutions Inc.; RELEX Solutions Oy; C3 AI Inc.; Slimstock Holding B.V.; ToolsGroup B.V.; E2open Parent Holdings Inc.; NETSTOCK Operations Limited; GAINSystems LLC; John Galt Solutions Inc.; Aera Technology Inc.; Infor Inc.; Lokad SAS

North America was the largest region in the artificial intelligence-powered demand forecasting market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence-powered demand forecasting market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence-powered demand forecasting market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence-powered demand forecasting market consists of revenues earned by entities by providing services such as predictive analytics, demand planning, inventory optimization, sales forecasting, and supply chain analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence-powered demand forecasting market also includes sales of barcode scanners, smart sensors, environmental monitoring sensors, GPS tracking devices, and telematics devices. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence-powered demand forecasting market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence-powered demand forecasting market statistics, including artificial intelligence-powered demand forecasting industry global market size, regional shares, competitors with a artificial intelligence-powered demand forecasting market share, detailed artificial intelligence-powered demand forecasting market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence-powered demand forecasting industry. This artificial intelligence-powered demand forecasting market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial Intelligence-Powered Demand Forecasting Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence-powered demand forecasting market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence-powered demand forecasting ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence-powered demand forecasting market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component Type: Software; Services
• 2) By Technology: Machine Learning; Natural Language Processing; Predictive Analytics; Reinforcement Learning
• 3) By Deployment Mode: Cloud; On Premises; Hybrid
• 4) By End User: Retailers; Manufacturers; Distributors; Logistics Providers; Other End Users
• Subsegments:
• 1) By Software: Demand Planning Software; Predictive Analytics Software; Inventory Optimization Software; Sales Forecasting Software; Supply Chain Planning Software; Machine Learning Model Development Software
• 2) By Services: Consulting Services; Implementation And Deployment Services; Integration Services; Managed Services; Support And Maintenance Services; Training And Advisory Services
• Companies Mentioned: Microsoft Corporation; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; SAS Institute Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; Kinaxis Inc.; Anaplan Inc.; o9 Solutions Inc.; RELEX Solutions Oy; C3 AI Inc.; Slimstock Holding B.V.; ToolsGroup B.V.; E2open Parent Holdings Inc.; NETSTOCK Operations Limited; GAINSystems LLC; John Galt Solutions Inc.; Aera Technology Inc.; Infor Inc.; Lokad SAS
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: Word, PDF or Interactive Report
• + Excel Dashboard
• Added Benefits
• Bi-Annual Data Update
• Customisation
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence-Powered Demand Forecasting Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global Artificial Intelligence-Powered Demand Forecasting Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence-Powered Demand Forecasting Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global Artificial Intelligence-Powered Demand Forecasting Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.3 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
  • 4.1.4 Industry 4.0 & Intelligent Manufacturing
  • 4.1.5 Fintech, Blockchain, Regtech & Digital Finance
• 4.2. Major Trends
  • 4.2.1 Hyperlocal Demand Sensing Using Real Time Consumption Data
  • 4.2.2 Omnichannel Demand Synchronization Across Retail Platforms
  • 4.2.3 Event Driven Demand Variability Modeling
  • 4.2.4 Dynamic Pricing Elasticity Based Forecasting Systems
  • 4.2.5 Collaborative Cross Enterprise Demand Planning Ecosystems

5. Artificial Intelligence-Powered Demand Forecasting Market Analysis Of End Use Industries

• 5.1 Retailers
• 5.2 Manufacturers
• 5.3 Distributors
• 5.4 Logistics Providers
• 5.5 Other End Users

6. Artificial Intelligence-Powered Demand Forecasting Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence-Powered Demand Forecasting Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global Artificial Intelligence-Powered Demand Forecasting PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global Artificial Intelligence-Powered Demand Forecasting Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global Artificial Intelligence-Powered Demand Forecasting Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global Artificial Intelligence-Powered Demand Forecasting Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence-Powered Demand Forecasting Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence-Powered Demand Forecasting Market Segmentation

• 9.1. Global Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Software, Services
• 9.2. Global Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Machine Learning, Natural Language Processing, Predictive Analytics, Reinforcement Learning
• 9.3. Global Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Cloud, On Premises, Hybrid
• 9.4. Global Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By End User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Retailers, Manufacturers, Distributors, Logistics Providers, Other End Users
• 9.5. Global Artificial Intelligence-Powered Demand Forecasting Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Demand Planning Software, Predictive Analytics Software, Inventory Optimization Software, Sales Forecasting Software, Supply Chain Planning Software, Machine Learning Model Development Software
• 9.6. Global Artificial Intelligence-Powered Demand Forecasting Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting Services, Implementation And Deployment Services, Integration Services, Managed Services, Support And Maintenance Services, Training And Advisory Services

10. Artificial Intelligence-Powered Demand Forecasting Market, Industry Metrics By Country

• 10.1. Global Artificial Intelligence-Powered Demand Forecasting Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global Artificial Intelligence-Powered Demand Forecasting Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Artificial Intelligence-Powered Demand Forecasting Market Regional And Country Analysis

• 11.1. Global Artificial Intelligence-Powered Demand Forecasting Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global Artificial Intelligence-Powered Demand Forecasting Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence-Powered Demand Forecasting Market

• 12.1. Asia-Pacific Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 12.2. Asia-Pacific Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence-Powered Demand Forecasting Market

• 13.1. China Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence-Powered Demand Forecasting Market

• 14.1. India Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence-Powered Demand Forecasting Market

• 15.1. Japan Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence-Powered Demand Forecasting Market

• 16.1. Australia Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence-Powered Demand Forecasting Market

• 17.1. Indonesia Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence-Powered Demand Forecasting Market

• 18.1. South Korea Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence-Powered Demand Forecasting Market

• 19.1. Taiwan Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence-Powered Demand Forecasting Market

• 20.1. South East Asia Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 20.2. South East Asia Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence-Powered Demand Forecasting Market

• 21.1. Western Europe Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 21.2. Western Europe Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence-Powered Demand Forecasting Market

• 22.1. UK Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence-Powered Demand Forecasting Market

• 23.1. Germany Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence-Powered Demand Forecasting Market

• 24.1. France Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence-Powered Demand Forecasting Market

• 25.1. Italy Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence-Powered Demand Forecasting Market

• 26.1. Spain Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence-Powered Demand Forecasting Market

• 27.1. Eastern Europe Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 27.2. Eastern Europe Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence-Powered Demand Forecasting Market

• 28.1. Russia Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence-Powered Demand Forecasting Market

• 29.1. North America Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 29.2. North America Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence-Powered Demand Forecasting Market

• 30.1. USA Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence-Powered Demand Forecasting Market

• 31.1. Canada Artificial Intelligence-Powered Demand Forecasting Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence-Powered Demand Forecasting Market

• 32.1. South America Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 32.2. South America Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence-Powered Demand Forecasting Market

• 33.1. Brazil Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence-Powered Demand Forecasting Market

• 34.1. Middle East Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 34.2. Middle East Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence-Powered Demand Forecasting Market

• 35.1. Africa Artificial Intelligence-Powered Demand Forecasting Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 35.2. Africa Artificial Intelligence-Powered Demand Forecasting Market, Segmentation By Component Type, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence-Powered Demand Forecasting Market Regulatory and Investment Landscape

37. Artificial Intelligence-Powered Demand Forecasting Market Competitive Landscape And Company Profiles

• 37.1. Artificial Intelligence-Powered Demand Forecasting Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. Artificial Intelligence-Powered Demand Forecasting Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. Artificial Intelligence-Powered Demand Forecasting Market Company Profiles
  • 37.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. SAP SE Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis

38. Artificial Intelligence-Powered Demand Forecasting Market Other Major And Innovative Companies

• Blue Yonder Group Inc., Manhattan Associates Inc., Kinaxis Inc., Anaplan Inc., o9 Solutions Inc., RELEX Solutions Oy, C3 AI Inc., Slimstock Holding B.V., ToolsGroup B.V., E2open Parent Holdings Inc., NETSTOCK Operations Limited, GAINSystems LLC, John Galt Solutions Inc., Aera Technology Inc., Infor Inc.

39. Global Artificial Intelligence-Powered Demand Forecasting Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Artificial Intelligence-Powered Demand Forecasting Market

42. Artificial Intelligence-Powered Demand Forecasting Market High Potential Countries, Segments and Strategies

• 42.1. Artificial Intelligence-Powered Demand Forecasting Market In 2030 - Countries Offering Most New Opportunities
• 42.2. Artificial Intelligence-Powered Demand Forecasting Market In 2030 - Segments Offering Most New Opportunities
• 42.3. Artificial Intelligence-Powered Demand Forecasting Market In 2030 - Growth Strategies
  • 42.3.1. Market Trend Based Strategies
  • 42.3.2. Competitor Strategies

43. Appendix

• 43.1. Abbreviations
• 43.2. Currencies
• 43.3. Historic And Forecast Inflation Rates
• 43.4. Research Inquiries
• 43.5. The Business Research Company
• 43.6. Copyright And Disclaimer