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市场调查报告书
商品编码
1733400

全球时间序列分析软体市场规模（按产品、应用、区域分析和预测）

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个工作天内

价格
简介目录

时间序列分析软体市场规模与预测

时间序列分析软体市场规模预计在 2024 年达到 18 亿美元，到 2032 年将达到 47 亿美元，预测期内（2026-2032 年）的复合年增长率为 10.5%。

供应链管理、医疗保健、股票市场和製造业中时间序列和预测分析的广泛使用正在推动全球时间序列分析软体市场的发展。全球时间序列分析软体市场报告对市场进行了全面评估。它对关键细分市场、趋势、市场驱动因素、限制因素、竞争格局以及在市场中发挥关键作用的因素进行了全面的分析。

定义全球时间序列分析软体市场

时间序列分析是一种强大的分析技术。它是一种处理时间序列资料以进行趋势分析的统计方法。时间序列分析被企业领导者用来做出重要决策，例如负载预测、业务预测、财务预测和股票市场分析。时间序列资料由在连续、等间隔的时间点撷取的多个资料点组成。手动分析如此大量的数据需要很长时间，但要想在短时间内有效地分析时间序列数据，就需要藉助各种时间序列分析软体。

时间序列分析软体有助于从存储与业务相关的资讯的资料库中提取重要的业务见解和趋势。组织主要采用时间序列分析软体来分析庞大的资料集、减少人为错误并以更快的速度产生结果。分析时间序列资料可以揭示对经济预测、预算分析、金融市场分析和库存管理等重要决策至关重要的绩效模式。时间序列分析有两个主要目标：辨识一组观测值所代表的现象的性质，以及预测（预测时间序列变数的未来值）。

全球时间序列分析软体市场概览

供应链管理、医疗保健、股票市场和製造业中时间序列和预测分析的广泛使用也在推动全球市场的发展。此外，工业4.0革命正在推动全球市场的发展。如今，机器学习演算法和人工神经网路被用于时间序列分析来预测趋势。

此外，巨量资料分析、云端运算、社交网路、自然语言处理 (NLP) 和机器学习的最新趋势对市场产生了重大影响。此外，在疫情大流行的情况下，许多政府正在利用时间序列分析技术来确定感染的传播，并做出重要决定，例如封锁时间、所需检测试剂套件数量、所需人工呼吸器数量、所需隔离病房数量等。

然而，时间序列分析软体的高订阅成本正在抑制市场成长。例如，Tableau 授权个人桌面版（含年度维护）的价格为 999 美元，专业桌面版（含年度维护）的价格为 1,999 美元。 SAS 软体仅最基本的许可证每年就需要花费 8,700 美元。此外，此时间序列分析软体的复杂性也是限制全球市场的因素之一。此外，各个领域采用基于机器学习的平台为未来市场成长提供了机会。许多基于 ML 的时间序列分析软体被企业领导者使用来做出重要决策，如原材料需求、销售额预测等。

时间序列分析软体市场（依产品划分）

  • 云端基础
  • 本地

产品分为云端基础和本地型。预计云端基础领域将推动市场成长。云端基础的时间序列软体为使用者提供在共用运算资源（如处理能力、记忆体和磁碟储存）上运行的软体应用程式。

时间序列分析软体市场（按应用）

  • 大公司
  • 小型企业

时间序列分析软体市场根据应用分为两个部分：大型企业和中小型企业。由于时间序列分析软体的广泛使用，预计大型企业将成为预测期内成长最快的市场。大型企业拥有大量的历史数据，为了有效率地利用这些大量数据，大型企业使用时间序列分析软体来寻找这些数据中隐藏的模式。

时间序列分析软体市场（按地区）

  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他的
  • 全球时间序列分析软体市场按地区细分为北美、欧洲、亚太地区和亚太其他地区。预计预测期内北美将占据最大的市场占有率。时间序列分析软体市场中众多製造公司、研究机构和主要市场参与企业的存在正在推动北美市场的成长。

主要参与企业

全球时间序列分析软体市场研究报告提供了以全球市场为重点的宝贵见解。市场的主要参与企业包括微软公司、Anodot 有限公司、Google有限责任公司、Trendalyze 公司、Seeq 公司、Software AG、Influx Data Operations UK, Ltd、Tableau Software LLC、SAS Institute 和 IBM 公司。竞争格局部分还包括上述全球参与企业的关键发展策略、市场占有率和市场排名分析。

目录

第一章 时间序列分析软体的全球市场介绍

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 全球时间序列分析软体市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章。全球时间序列分析软体市场（按产品）

  • 概述
  • 云端基础
  • 本地

6. 全球时间序列分析软体市场（按应用）

  • 概述
  • 大公司
  • 小型企业

7. 全球时间序列分析软体市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 其他的
    • 拉丁美洲
    • 中东和非洲

8. 世界时间序列分析软体市场的竞争格局

  • 概述
  • 各公司市场排名
  • 重点发展策略

第九章 公司简介

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

第十章 附录

  • 相关调查
简介目录
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