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市場調查報告書
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1604502

基於人工智慧的預測市場：未來預測（2024-2029）

AI-Based Forecasting Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 135 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

基於人工智慧的預測市場預計將以 27.08% 的複合年成長率成長，到 2029 年，市場規模將從 2024 年的 139.96 億美元達到 333.87 億美元。

人工智慧預測是指利用人工智慧技術軟體和機器學習演算法，根據過去的資料來預測各個業務方面和領域的未來價值。基於人工智慧的預測應用程式自動化資料連接和準備過程。確定不同的業務指標作為預測的基礎，並為不同的公司和行業創建客製化的人工智慧預測解決方案。基於人工智慧的預測軟體在醫療保健、零售和其他各種製造業需求量很大的主要原因是它需要用戶的輸入最少，並且需要考慮數千個因素和指標。

然而，演化演算法、深度學習和貝氏網路是基於人工智慧的預測市場中使用最廣泛的技術。它的應用為組織帶來了優勢並減少了製造錯誤。考慮到這一點，越來越多的組織正在將人工智慧驅動的預測技術納入其業務流程。例如，透過採用基於人工智慧的預測方法，雷諾茲鋁業能夠將庫存成本降低 100 萬英鎊，並將預測誤差減少約 2%。

因此，人工智慧技術的不斷發展以及多個行業擴大採用人工智慧驅動的預測技術可能會在預測期內顯著成長基於人工智慧的預測市場。

基於人工智慧的預測市場的促進因素

  • 公司產生的資料量不斷增加推動基於人工智慧的預測市場的成長

由於各行業業務業務的數位化，企業及其客戶產生的資料量不斷增加。因此，企業越來越需要利用人工智慧技術的巨量資料分析解決方案。例如，一項研究發現，公司產生的資料中只有約 40% 得到了有效利用。

然而，透過最佳化利用基於人工智慧的預測和資料分析模型的公司產生的資料，可以準確預測需求、預測成長以及管理供應鏈和庫存。例如，達能集團透過將基於人工智慧的預測模型整合到業務中，能夠改善需求預測並將收益損失減少約 30%。因此，企業正在廣泛採用基於人工智慧的預測軟體來改善其業務運作。

基於人工智慧的預測市場的地理前景

  • 亞太地區在預測期內將經歷指數級成長

由於人工智慧領域投資的增加以及該地區零售和農業領域的影響，亞太地區基於人工智慧的預測市場正在經歷高速成長。該地區經濟體零售業的成長得益於電子商務和商業活動日益數位化。因此，零售業的許多公司正在採用基於人工智慧的預測工具來集中工作部門，以確保庫存儲存和下達採購訂單的正確管理。例如，亞洲的 HnM 時尚零售店使用人工智慧驅動的需求預測工具來為生產和其他業務決策提供資訊。因此，亞太地區零售業市場規模的不斷擴大正在推動基於人工智慧的預測市場的擴張。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2029）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析：按細分市場/地區（按國家）
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 基於人工智慧的預測市場：依技術分類

  • 介紹
  • 貝氏網路
  • 演化演算法
  • 深度學習

第6章 基於人工智慧的預測市場：依最終用戶分類

  • 介紹
  • 製造業
  • 醫療保健
  • 零售業
  • 農業
  • 其他

第7章 基於人工智慧的預測市場：按地區

  • 介紹
  • 北美洲
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 依技術
    • 按最終用戶
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 企業合併（M&A）、合約、業務合作
  • 競爭對手儀表板

第9章 公司簡介

  • H2O.ai
  • Neptune Labs
  • DataRobot Inc
  • Obviously AI Inc
  • Sage Group PLC
  • Pecan
  • QlikTech International AB
  • Dataiku
  • Anodot Ltd
  • Salesforce Inc
簡介目錄
Product Code: KSI061614869

The AI-based forecasting market is expected to grow at a CAGR of 27.08%, reaching a market size of US$33.387 billion in 2029 from US$13.996 billion in 2024.

AI-based forecasting refers to the employment of AI technology software and machine learning algorithms to predict the future values of different business aspects and sectors based on past data. An AI-based forecasting application automates data connection and preparation processes. It identifies different business metrics on which to base the forecast to create a customized AI forecasting solution for different enterprises and departments. The major reasons for the high demand for AI-based forecasting software across the healthcare, retail, and various other manufacturing sectors are the demand for minimal input from the user and the consideration of several thousand factors and metrics.

However, evolutionary algorithms, deep learning, and Bayesian networks are some of the most widely used technologies in the AI-based forecasting market. Its application provides an edge to organizations and reduces manufacturing errors. With this in mind, more organizations embrace AI-powered forecasting techniques in their business processes. For instance, with the incorporation of an AI-based forecasting approach in Reynolds Aluminium, it was possible to reduce its inventory cost by 1 million pounds and reduce errors in its forecasting by about 2%.

Therefore, due to the constant evolution in AI technology and the increasing adoption of AI-powered forecasting methods across several industries, the AI-based forecasting market can grow significantly over the forecast period.

AI-based forecasting market drivers

  • An increase in the amount of data generated by companies is fueling the AI-based forecasting market growth

The digitalization of companies' business operations in different fields is resulting in massive growth in the data generated by companies and their customers. This results in the need for big data analytics solutions using AI technology in enterprises. For instance, a survey revealed that a medium portion of around 40% of the data generated by an enterprise is being effectively utilized.

However, the optimum utilization of the data generated by companies by using them in AI-based forecasting and data analytics models could help them to accurately predict demand, forecast growth, and manage supply chains and inventories. For instance, the integration of an AI-based forecasting model in the business operations of Danone Group enabled the company to enhance its demand forecasting and lower revenue loss by around 30%. Hence, companies are extensively adopting AI-based forecasting software to improve their business operations.

AI-based forecasting market geographical outlook

  • Asia Pacific is witnessing exponential growth during the forecast period

AI-based forecasting in the Asia Pacific region is witnessing high growth due to increasing investments in the field of AI and the influence of the retail and agricultural sectors in this region. This growth in the retail sector of the economies in this region can be because of increased e-commerce activities and business activity digitalization. Consequently, a large proportion of companies in the retailing industry are incorporating the use of AI-based forecast tools for centralizing working departments to ensure proper management of inventory storage and issued purchase orders. For instance, the Asian HnM fashion retail stores use AI-driven demand forecasting tools to make production and other business decisions. Therefore, the increasing market size of the retail sector in the Asia Pacific region encourages AI-based forecasting market expansion.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI-based forecasting market is segmented and analyzed as follows:

By Technology

  • Bayesian Network
  • Evolutionary Algorithms
  • Deep Learning

By End-Users

  • Manufacturing
  • Healthcare
  • Retail
  • Agriculture
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI-BASED FORECASTING MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Bayesian Network
  • 5.3. Evolutionary Algorithms
  • 5.4. Deep Learning

6. AI-BASED FORECASTING MARKET BY END-USER

  • 6.1. Introduction
  • 6.2. Manufacturing
  • 6.3. Healthcare
  • 6.4. Retail
  • 6.5. Agriculture
  • 6.6. Others

7. AI-BASED FORECASTING MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Technology
    • 7.2.2. By End-User
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Technology
    • 7.3.2. By End-User
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Technology
    • 7.4.2. By End-User
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Italy
      • 7.4.3.5. Spain
      • 7.4.3.6. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Technology
    • 7.5.2. By End-User
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Technology
    • 7.6.2. By End-User
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Australia
      • 7.6.3.6. Singapore
      • 7.6.3.7. Indonesia
      • 7.6.3.8. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. H2O.ai
  • 9.2. Neptune Labs
  • 9.3. DataRobot Inc
  • 9.4. Obviously AI Inc
  • 9.5. Sage Group PLC
  • 9.6. Pecan
  • 9.7. QlikTech International AB
  • 9.8. Dataiku
  • 9.9. Anodot Ltd
  • 9.10. Salesforce Inc