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市場調查報告書
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1733400

全球時間序列分析軟體市場規模（按產品、應用、區域分析和預測）

Global Time Series Analysis Software Market Size By Product (Cloud-Based, On-Premise), By Application (Large Enterprises, Small and Medium Size Enterprises), By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

時間序列分析軟體市場規模與預測

時間序列分析軟體市場規模預計在 2024 年達到 18 億美元，到 2032 年將達到 47 億美元，預測期內（2026-2032 年）的複合年成長率為 10.5%。

供應鏈管理、醫療保健、股票市場和製造業中時間序列和預測分析的廣泛使用正在推動全球時間序列分析軟體市場的發展。全球時間序列分析軟體市場報告對市場進行了全面評估。它對關鍵細分市場、趨勢、市場促進因素、限制因素、競爭格局以及在市場中發揮關鍵作用的因素進行了全面的分析。

定義全球時間序列分析軟體市場

時間序列分析是一種強大的分析技術。它是一種處理時間序列資料以進行趨勢分析的統計方法。時間序列分析被企業領導者用來做出重要決策，例如負載預測、業務預測、財務預測和股票市場分析。時間序列資料由在連續、等間隔的時間點擷取的多個資料點組成。手動分析如此大量的數據需要很長時間，但要想在短時間內有效地分析時間序列數據，就需要藉助各種時間序列分析軟體。

時間序列分析軟體有助於從存儲與業務相關的資訊的資料庫中提取重要的業務見解和趨勢。組織主要採用時間序列分析軟體來分析龐大的資料集、減少人為錯誤並以更快的速度產生結果。分析時間序列資料可以揭示對經濟預測、預算分析、金融市場分析和庫存管理等重要決策至關重要的績效模式。時間序列分析有兩個主要目標：辨識一組觀測值所代表的現象的性質，以及預測（預測時間序列變數的未來值）。

全球時間序列分析軟體市場概覽

供應鏈管理、醫療保健、股票市場和製造業中時間序列和預測分析的廣泛使用也在推動全球市場的發展。此外，工業4.0革命正在推動全球市場的發展。如今，機器學習演算法和人工神經網路被用於時間序列分析來預測趨勢。

此外，巨量資料分析、雲端運算、社交網路、自然語言處理 (NLP) 和機器學習的最新趨勢對市場產生了重大影響。此外，在疫情大流行的情況下，許多政府正在利用時間序列分析技術來確定感染的傳播，並做出重要決定，例如封鎖時間、所需檢測試劑套件數量、所需人工呼吸器數量、所需隔離病房數量等。

然而，時間序列分析軟體的高訂閱成本正在抑制市場成長。例如，Tableau 授權個人桌面版（含年度維護）的價格為 999 美元，專業桌面版（含年度維護）的價格為 1,999 美元。 SAS 軟體僅最基本的許可證每年就需要花費 8,700 美元。此外，此時間序列分析軟體的複雜性也是限制全球市場的因素之一。此外，各個領域採用基於機器學習的平台為未來市場成長提供了機會。許多基於 ML 的時間序列分析軟體被企業領導者使用來做出重要決策，如原料需求、銷售額預測等。

時間序列分析軟體市場（依產品分類）

  • 雲端基礎
  • 本地

產品分為雲端基礎和本地型。預計雲端基礎領域將推動市場成長。雲端基礎的時間序列軟體為使用者提供在共用運算資源（如處理能力、記憶體和磁碟儲存）上運行的軟體應用程式。

時間序列分析軟體市場（按應用）

  • 主要企業
  • 小型企業

時間序列分析軟體市場根據應用分為兩個部分：大型企業和中小型企業。由於時間序列分析軟體的廣泛使用，預計大型企業將成為預測期內成長最快的市場。大型企業擁有大量的歷史數據，為了有效率地利用這些大量數據，大型企業使用時間序列分析軟體來尋找這些數據中隱藏的模式。

時間序列分析軟體市場（按地區）

  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他
  • 全球時間序列分析軟體市場按地區細分為北美、歐洲、亞太地區和亞太其他地區。預計預測期內北美將佔據最大的市場佔有率。時間序列分析軟體市場中眾多製造公司、研究機構和主要市場參與企業的存在正在推動北美市場的成長。

主要參與企業

全球時間序列分析軟體市場研究報告提供了以全球市場為重點的寶貴見解。市場的主要參與企業包括微軟公司、Anodot 有限公司、Google有限責任公司、Trendalyze 公司、Seeq 公司、Software AG、Influx Data Operations UK, Ltd、Tableau Software LLC、SAS Institute 和 IBM 公司。競爭格局部分還包括上述全球參與企業的關鍵發展策略、市場佔有率和市場排名分析。

目錄

第1章 時間序列分析軟體的全球市場介紹

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 全球時間序列分析軟體市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章。全球時間序列分析軟體市場（按產品）

  • 概述
  • 雲端基礎
  • 本地

6. 全球時間序列分析軟體市場（按應用）

  • 概述
  • 主要企業
  • 小型企業

7. 全球時間序列分析軟體市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 其他
    • 拉丁美洲
    • 中東和非洲

8. 世界時間序列分析軟體市場的競爭格局

  • 概述
  • 各公司市場排名
  • 重點發展策略

第9章 公司簡介

  • Microsoft Corp
  • Anodot Ltd
  • Google LLC
  • Trendalyze Inc
  • Seeq Corp
  • Software AG
  • Influx Data Operations UK, Ltd
  • Tableau Software LLC
  • SAS Institute
  • IBM Corp

第10章 附錄

  • 相關調查
簡介目錄
Product Code: 65639

Time Series Analysis Software Market Size And Forecast

Time Series Analysis Software Market size was valued at USD 1.8 Billion in 2024 and is projected to reach USD 4.7 Billion by 2032, growing at a CAGR of 10.5% during the forecast period 2026-2032.

Extensive use of time series analysis and predictive analysis in the supply chain management, healthcare, stock market, and manufacturing industry is driving the Global Time Series Analysis Software Market. The Global Time Series Analysis Software 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.

Global Time Series Analysis Software Market Definition

Time series analysis is one of the powerful analysis techniques. It is a statistical technique; this technique deals with time-series data in order to do trend analysis. Time series analysis is used by the business head to make important decisions, such as load forecasting, business forecasting, financial forecasting, and stock market analysis, and so on. In time-series data, a sequence of large numbers of data is taken at successive equally spaced points in time. Analyzing these large numbers of data manually would take a long time, to analyze time-series data efficiently in a shorter time business heads take the help of various time series analysis software.

Time series analysis software helps in extracting significant business insights and trends from the database which stores information related to business operations. Organizations are largely deploying time series analysis software to analyze huge data sets and produce results at a faster rate with reduce human error. Analyzing time-series data gives performance patterns essential for critical decision-making in economic forecasting, budget analysis, financial market analysis, inventory management, and others. There are two main goals of time series analysis: identifying the nature of the phenomenon represented by the sequence of observations, and forecasting (predicting future values of the time series variable).

Global Time Series Analysis Software Market Overview

Extensive use of time series analysis and predictive analysis in the supply chain management, healthcare, stock market, and manufacturing industry is also driving the global market. In addition, the industry 4.0 revolution is driving the global market. Now, machine learning algorithms and artificial neural networks are used for time series analysis to forecast the trend.

Furthermore, the recent developments in big data analytics, cloud computing, social networks, natural language processing (NLP), and machine learning had a significant impact on the market. Further, in the pandemic situation, many country's governments are taking the help of time series analysis technique to determine the spread of the infection, also they are using it to take important decisions, such as how long a lockdown should be, numbers of the requirement of the test-kits, numbers of the requirement of the ventilators, numbers of the requirement the isolation wards, and others.

However, the high subscription cost for the time series analysis software is restraining the growth of the market. For instance, a Tableau license costs $999 for a desktop personal with annual maintenance, $1,999 for a desktop professional with annual maintenance. SAS software costs $8,700 per year for the most basic license only. Furthermore, the complexity of this time series analysis software is also one of the restraining factors of the global market. Besides, the adoption of the ML-based platform in various sectors is an opportunity for future market growth. Much ML-based time series analysis software is used by the business head to take important decisions, such as requirements of the raw materials, forecasting of sales, and others.

Time Series Analysis Software Market, By Product

  • Cloud-Based
  • On-Premise

Based on Product, The market is bifurcated into Cloud-Based and On-Premise. The Cloud-Based segment is expected to inflate the market growth. Cloud-Based time series software allows users software applications that run on shared computing resources such as processing power, memory, and disk storage.

Time Series Analysis Software Market, By Application

  • Large Enterprises
  • Small and Medium Size Enterprises

Based on Application, The market is bifurcated into Large Enterprises, And Small and Medium Size Enterprises. Large Enterprises are anticipated to become the fastest-growing market in the forecast duration due to extensive use of time series analysis software. Large enterprises have a huge amount of historical data, in order to use these large amounts of data efficiently, large enterprises are using time series analysis software to find the hidden pattern in these data.

Time Series Analysis Software Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world
  • On the basis of Geography, The Global Time Series Analysis Software Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is expected to hold the largest market share in the forecast period. The presence of a large number of manufacturing firms, research institutes, and the presence of the major market players of time series analysis software in the North American region is fueling the growth of the market in North America.

Key Players

The "Global Time Series Analysis Software Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Microsoft Corp, Anodot Ltd, Google LLC, Trendalyze Inc, Seeq Corp, Software AG, Influx Data Operations UK, Ltd, Tableau Software LLC, SAS Institute, And IBM Corp. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET, BY PRODUCT

  • 5.1 Overview
  • 5.2 Cloud Based
  • 5.3 On-Premise

6 GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Large Enterprises
  • 6.3 Small and Medium Size Enterprises

7 GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET, BY GEOGRAPHY

  • 7.1 Overview
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
    • 7.2.3 Mexico
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 U.K.
    • 7.3.3 France
    • 7.3.4 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Rest of Asia Pacific
  • 7.5 Rest of the World
    • 7.5.1 Latin America
    • 7.5.2 Middle East & Africa

8 GLOBAL TIME SERIES ANALYSIS SOFTWARE MARKET COMPETITIVE LANDSCAPE

  • 8.1 Overview
  • 8.2 Company Market Ranking
  • 8.3 Key Development Strategies

9 COMPANY PROFILES

  • 9.1 Microsoft Corp
    • 9.1.1 Overview
    • 9.1.2 Financial Performance
    • 9.1.3 Product Outlook
    • 9.1.4 Key Developments
  • 9.2 Anodot Ltd
    • 9.2.1 Overview
    • 9.2.2 Financial Performance
    • 9.2.3 Product Outlook
    • 9.2.4 Key Developments
  • 9.3 Google LLC
    • 9.3.1 Overview
    • 9.3.2 Financial Performance
    • 9.3.3 Product Outlook
    • 9.3.4 Key Developments
  • 9.4 Trendalyze Inc
    • 9.4.1 Overview
    • 9.4.2 Financial Performance
    • 9.4.3 Product Outlook
    • 9.4.4 Key Developments
  • 9.5 Seeq Corp
    • 9.5.1 Overview
    • 9.5.2 Financial Performance
    • 9.5.3 Product Outlook
    • 9.5.4 Key Developments
  • 9.6 Software AG
    • 9.6.1 Overview
    • 9.6.2 Financial Performance
    • 9.6.3 Product Outlook
    • 9.6.4 Key Developments
  • 9.7 Influx Data Operations UK, Ltd
    • 9.7.1 Overview
    • 9.7.2 Financial Performance
    • 9.7.3 Product Outlook
    • 9.7.4 Key Developments
  • 9.8 Tableau Software LLC
    • 9.8.1 Overview
    • 9.8.2 Financial Performance
    • 9.8.3 Product Outlook
    • 9.8.4 Key Developments
  • 9.9 SAS Institute
    • 9.9.1 Overview
    • 9.9.2 Financial Performance
    • 9.9.3 Product Outlook
    • 9.9.4 Key Developments
  • 9.10 IBM Corp
    • 9.10.1 Overview
    • 9.10.2 Financial Performance
    • 9.10.3 Product Outlook
    • 9.10.4 Key Developments

10 Appendix

  • 10.1 Related Research