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市场调查报告书
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1258856

到 2028 年的规范性分析市场预测——按数据类型、组件、业务功能、组织规模、部署模型、应用程序、最终用户和地区进行的全球分析

Prescriptive Analytics Market Forecasts to 2028 - Global Analysis By Data Type, By Component, By Business Function, By Organization Size, By Deployment Model, By Application, By End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2022 年全球处方分析市场规模将达到 60 亿美元，预计到 2028 年将达到 197 亿美元，预测期内復合年增长率为 22.0%。据说长在

规范性分析是一种用于就公司的业务成果做出决策的技术。 规范分析可以通过最大化成本和客户服务等目标之间的权衡来改善业务运营，提高客户满意度，并利用大数据来识别市场领先的潜力。它被用于各种业务。 规范分析是使用实践和技术（包括描述性分析、诊断分析和预测分析）来预测给定情况下的可能结果的系统。

规范性分析通常提供有关潜在结果、过去结果和可用资源的数据等见解，以建议采取或纠正的行动或策略。 此外，规范分析不仅可以预测潜在结果，还可以分析为什么可能会出现这种结果。 因此，经常使用规范模型来深入了解与可以从预测中受益的活动相关的建议。 由于有可能量化未来决策的影响并预测未来的结果，预计规范分析将在全球企业中看到需求的显着增长。

根据 NASSCOM（全国软件和服务公司协会）的一项研究，印度的分析行业预计到 2025 年将达到 160 亿美元。

市场动态：

驱动程序

驱动力：越来越多的人接受实时数据访问以实现高效的业务运营

希望在竞争激烈的市场中扩展业务的公司需要做出以数据为依据的决策。 实时数据访问可帮助公司处理和分析数据，并用于生成常规策略以提高公司绩效并获得超越竞争对手的优势。 商业智能和分析工具的好处越来越多地被利用，不仅是为了收集观点，而且是为了实时推动战略决策。 规范分析使用 ML 和 AI 来识别和推荐一组可用于控制可能的未来场景的操作或活动。

抑制：

数据的动态特性

大数据的性质取决于其数量、种类、速度、可变性和准确性，这使得数据集难以管理，尤其是当大量数据来自多个来源时。. 随着公司转向更多数据驱动的决策技术，数据增长将导致收集的数据类型发生变化。 这种增强的能力可能会令人困惑，因为技术进步提高了数据收集能力，并使得访问具有类似效果的不同类型的数据变得更加容易。 企业广泛使用预测分析来克服竞争激烈的行业中的障碍。 由于缺乏有效和高效的算法来获取准确的数据，随着数据不断变化，其动态特性预计会限制分析。

机会

克服现有商业智能工具的不足

每家公司都受到不断增加的数据量的影响。 不断增加的数据量带来了传统 BI 系统无法跟上的复杂性。 因此，对更好的分析工具的需求正在增加。 当今的业务用户需要能够使他们响应业务问题、消费者交互、业务机会、威胁等的工具。 补充传统 BI 方法并使公司能够做出实时决策的高级分析包括描述性分析。 描述性和预测性分析都可用于识别规范性分析。

威胁：

基于业务需求的数据模型多样性

在过去的几十年里，数据量以惊人的速度增长，这抑制了市场的增长。 大数据使公司能够从传感器、摄像头、网络等收集大量数据，以明确地与客户互动并提供个性化的优惠和报价。 处理文本、视频、图像和音频等非结构化数据需要一些高级分析模型。 例如，机器生成的数据将不同于网络或社交媒体生成的数据。 供应炼和运营分析可用于检查机器生成的数据，社交媒体分析可用于分析在线和社交网络数据。

COVID-19 的影响：

随着封锁、旅行限制和企业倒闭，COVID-19 正在影响许多国家/地区的企业和行业。 许多工厂和车间已经关闭，对国际市场上的生产、交货时间和产品销售产生了不利影响。 只有少数公司已经警告可能会延迟交货和减少销售。 欧洲、亚太地区和北美国家实施的国际旅行禁令也影响了商业关係和合作研究的机会。

银行、金融服务和保险业预计在预测期内将成为最大的行业

BFSI 部分预计将在预期期间占据最大的市场份额，因为银行系统会生成大量数据，这些数据会助长欺诈活动。 因此，金融行业中与风险和欺诈相关的事件正在减少，从而积极增加了对规范分析的需求，以确保金融行业的安全。 此外，规范性分析结果正在帮助金融业提高客户对其产品的满意度。

在预测期内，供应链管理领域的复合年增长率预计最高。

供应链管理领域预计在预测期内的复合年增长率最高，因为製造、零售和批发等各个垂直行业都在采用供应链解决方案。 所有行业的库存管理都得到供应链管理技术的帮助。 随着原材料的购买和在製造中的使用，企业内部会产生大量数据。 然而，规范分析市场的供应链管理领域的需求是由降低成本和增加利润的组织目标驱动的。

份额最大的地区

由于引入大数据、云计算、社交媒体和移动性等新技术的成本不断上升，北美地区将在 2021 年主导处方分析市场，预计这将在整个预测期内推动市场扩张。主导地位，预计在预测期内也将占据最大的市场份额。 此外，垂直数据量将随着新技术的采用而增加。 组织需要分析工具来获得支持企业战略制定的关键见解。 因此，规范性分析可帮助组织将其业务战略建立在当前信息的基础上。

复合年增长率最高的地区：

在预测期内，预计北美地区的复合年增长率最高，因为它通常被认为是推动市场发展的动力。 这是由于在接受大信息、云创新、基于网络的娱乐和移动创新等新进步方面的支出增加。 此外，对新技术创新的日益接受通常会增加所有领域的信息量。 组织需要科学仪器来获取构建业务实践所需的基本数据。

主要进展介绍：

2021 年 9 月，Infor 推出了其下一代酒店管理解决方案，该解决方案突出了移动功能以提供卓越的个性化宾客服务。

2021 年 8 月，Sisense 宣布了最新的 Sisense Q2 2021，使组织能够构建可扩展的洞察力、探索最新功能、使用 Sisense Explanations 探索更多维度，并将图像注入数据透视表。现在成为可能。

2021 年 5 月，SAS 宣布将通过将新的数据管理解决方案整合到其云原生 SASViya 平台中来巩固数据和分析成功的基础。

2021 年 3 月，IBM 将推出 Cloud Satellite，为客户提供随时随地的云服务。 它使客户能够为开发和运营自动化部署和管理云原生服务，从而提高业务敏捷性。

2020 年 11 月，IBM 宣布推出 5G 和边缘计算，以帮助企业将计算和数据存储移至更靠近数据源的位置，从而更轻鬆地根据数据产生的洞察采取行动。

2020 年 8 月，Talend 发布了其 Talend Data Fabric 解决方案的 2020 年更新，该解决方案扩展了云功能以满足客户需求。

这份报告提供了什么

  • 区域和国家级细分市场的市场份额评估
  • 向新进入者提出战略建议
  • 2020、2021、2022、2025 和 2028 年的综合市场数据
  • 市场驱动因素（市场趋势、制约因素、机遇、威胁、挑战、投资机会、建议等）
  • 根据市场预测在关键业务领域提出战略建议
  • 竞争格局和趋势
  • 公司简介，包括详细的战略、财务状况和近期发展
  • 供应链趋势反映了最新的技术进步。

提供免费定制

购买此报告的客户将免费获得以下定制之一。

  • 公司简介
    • 其他市场参与者的综合概况（最多 3 家公司）
    • 主要参与者的 SWOT 分析（最多 3 人）
  • 区域细分
    • 根据客户要求提供主要国家/地区的市场估算、预测和復合年增长率（注意：基于可行性检查。）
  • 竞争基准
    • 根据产品组合、地域分布和战略联盟对主要参与者进行基准测试。

内容

第 1 章执行摘要

第二章前言

  • 概览
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 调查来源
    • 主要研究信息来源
    • 二手研究资源
    • 假设

第三章市场趋势分析

  • 司机
  • 约束因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第 5 章全球规范分析市场：按数据类型

  • 非结构化数据
  • 结构化数据
  • 半结构化数据

第 6 章全球处方分析市场：按组件分类

  • 服务
    • 託管服务
    • 专业服务
  • 软件

第 7 章全球规范分析市场：按业务功能分类

  • 销售
  • 财务
  • 人力资源
  • 营销
  • 运营

第 8 章全球规范分析市场：按组织规模

  • 中小企业
  • 大公司

第 9 章全球处方分析市场：按部署模型

  • 云
  • 本地
  • 按需

第 10 章全球处方分析市场：按应用

  • 企业管理
  • 网络管理
  • 危机管理
  • 收入管理
  • 劳动力管理
  • 供应链管理
  • 其他应用

第 11 章全球处方分析市场：按最终用户分类

  • 银行、金融服务和保险
  • 医疗保健和生命科学
  • 零售和电子商务
  • 电信和信息技术
  • 製造业
  • 媒体和娱乐
  • 旅游和款待
  • 能源和公用事业
  • 政府和国防
  • 运输/物流
  • 其他最终用户

第 12 章全球处方分析市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东和非洲地区

第13章主要发展

  • 合同、伙伴关係、协作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第14章公司简介

  • Infor
  • Oracle Corporation
  • Teradata Corporation
  • Salesforce.Com, Inc.
  • Fair Isaac Corporation
  • Sap Se
  • Tibco Software Inc.
  • IBM Corporation
  • International Business Machines Corporation
  • Frontline Systems Inc
  • River Logic, Inc.
  • Altair Engineering Inc
  • Sas Institute Inc.
  • Microsoft Corporation
  • Profitect
Product Code: SMRC22736

According to Stratistics MRC, the Global Prescriptive Analytics Market is accounted for $6.0 billion in 2022 and is expected to reach $19.7 billion by 2028 growing at a CAGR of 22.0% during the forecast period. Prescriptive analytics is a method for making decisions regarding the results of company operations. Prescriptive analytics is used in a variety of businesses to improve business operations by maximising trade-offs between objectives like costs or customer service, to boost customer satisfaction, and to identify first-in-market possibilities by using big data. Prescriptive analytics is a system that uses practices and methods including descriptive, diagnostic, and predictive analytics to predict potential outcomes for a given circumstance.

Prescriptive analytics typically offers insights such as data on potential outcomes, prior results, and available resources and recommends a course of action or strategy that must be implemented or modified. Moreover, prescriptive analytics not only forecasts potential outcomes but also analyzes why they are likely to occur. Thus, a prescriptive model is frequently used to obtain insight into recommendations related to activities that can benefit from the forecasts. Due to its potential to quantify the impact of future decisions and predict future outcomes, prescriptive analytics are therefore projected to experience a large increase in demand among enterprises worldwide.

According to a study by NASSCOM (National Association of Software and Service Companies), the Indian analytics industry is predicted to reach USD 16 Billion mark by 2025.

Market Dynamics:

Driver:

Increasing acceptance of real-time data access for efficient business operations

Every organisation focusing on its business expansion in a competitive market must use data-driven decision-making. Real-time data accessibility assists firms in processing and analysing data, which is then used to produce regular strategies for improving corporate performance and gaining an advantage over rivals. Also, businesses are utilising the advantages of business intelligence and analytical tools more and more, not only to gather perspectives but also to drive strategic decision-making in real-time. Prescriptive analytics employs ML and AI to identify and recommend an action or collection of activities that can be used to control potential future scenarios.

Restraint:

Data's dynamic nature

Big data's nature depends on its volume, diversity, velocity, variability, and veracity, which makes managing data sets challenging, especially when significant volumes originate from a number of sources. The increase in data leads to a change in the type of data gathered as businesses move towards more data-driven decision-making techniques. Technological advancements have increased the capacity for data collection, and this increase in capacity is likely to cause confusion because diverse types of data with similar effects have become more easily accessible. Predictive analytics is widely used by businesses to overcome obstacles in a competitive industry. Due to the lack of effective and efficient algorithms for retrieving accurate data, the dynamic nature of the data is anticipated to constrain analysis because it is constantly changing.

Opportunity:

Overcoming the shortcomings of existing business intelligence tools

Every company has been impacted by the growing volume of data. The increase in data volume has led to a complexity that traditional BI systems are unable to handle. This has increased the demand for better analytical tools. Today's business users require tools that allow them to respond to operational issues, consumer interaction, business opportunities, and threats. Advanced analytics, which have complemented conventional BI approaches and enabled enterprises to reach real-time decision making, include prescriptive analytics. Both descriptive and predictive analysis can be used to identify prescriptive analysis.

Threat:

Diversity of data models based on business needs

In the past few decades, data growth has expanded at an enormous rate which is restraining the market growth. Owing to big data, businesses are gathering the enormous amounts of data from sensors, cameras, the web, and other sources to distinctly engage with their customers and provide them with personalised guidance and preferential treatment. Several advanced analytics models are required to handle the unstructured data, which is made up of text, video, image, and sound data. For instance, data generated by machines is represented differently than data generated by the web and social media. Supply chain analytics and operational analytics can be used to examine machine-generated data, while social media analytics can be used to analyse online and social network data.

COVID-19 Impact:

Due to lockdowns, travel restrictions, and business closures, COVID-19 has had an impact on the businesses and industries of numerous nations. The closing of numerous plants and factories has had a detrimental influence on production, delivery schedules, and sales of products on the international market. Only a few businesses have already been warned of potential delivery delays and eventual sales declines. Also, the chances for commercial relationships and collaborations are being impacted by the international travel bans implemented by nations in Europe, Asia-Pacific, and North America.

The Banking, Financial Services and Insurance segment is expected to be the largest during the forecast period

Because of the enormous data generation within the banking system, which is responsible for cases of fraud, it is anticipated that the BFSI segment will experience the largest share of the market throughout the anticipated period. The demand for prescriptive analytics to preserve financial sector security is therefore positively rising as a result of reducing risks and fraud-related cases in the financial industry. Also, the results of prescriptive analytics assist the financial sector in raising client satisfaction with their offerings.

The Supply Chain Management segment is expected to have the highest CAGR during the forecast period

Throughout the projected period, it is predicted that the supply-chain management segment will have the highest CAGR as several industry sectors, including manufacturing, retail, wholesale, and others, use supply-chain solutions. The management of inventories across all verticals is assisted by supply-chain management technologies. As raw materials are purchased and used in manufacturing, a significant amount of data is generated within the business. However, the supply chain management segment's demand in the prescriptive analytics market is being driven by the organisation's goal of lowering costs and increasing profits.

Region with largest share:

Due to rising adoption costs for new technologies like big data, cloud computing, social media, and mobility, which are anticipated to fuel market expansion throughout the forecast period, the North American region held a dominant position in the prescriptive analytics market in 2021 and is expected to have the largest market share during the projection period. Additionally, the volume of data across the verticals rises proportionately with the adoption of new technology. For important insights that assist in developing company strategies, organisations need an analytical tool. As a result, prescriptive analytics helps organisations create business strategies based on current information.

Region with highest CAGR:

As most would consider normal to drive the development of the market over the forecast period, the North American region is expected to have the highest CAGR. This is due to expanding spending on the reception of new advances like huge information, cloud innovation, web-based entertainment, and portability innovations, among others. Furthermore, increasing the acceptance of new innovations generally boosts the volume of information across all verticals. In order to get essential data that helps in the creation of business methodologies, organisations need a scientific instrument.

Key players in the market

Some of the key players in Prescriptive Analytics market include: INFOR, ORACLE CORPORATION, TERADATA CORPORATION, SALESFORCE.COM, INC., FAIR ISAAC CORPORATION, SAP SE, TIBCO SOFTWARE INC., IBM Corporation, INTERNATIONAL BUSINESS MACHINES CORPORATION, Frontline Systems Inc, RIVER LOGIC, INC., Altair Engineering Inc, SAS INSTITUTE INC., Microsoft Corporation and Profitect.

Key Developments:

In September 2021, Infor launched the next generation of hospitality management solution that puts mobile capabilities for exceptional personalized guest services in the spotlight.

In August 2021, Sisense launched the latest Sisense Q2 2021 which allows organizations to build extensible insights, explore latest features, explore additional dimensions with Sisense Explanations, and infuse images into pivot tables.

In May 2021, SAS announced to reinforce the foundation for data and analytics success by incorporating new data management solutions into its cloud native SASViya platform.

In March 2021, IBM launched its Cloud Satellite which offers cloud services to its clients anywhere. Using this, clients can automate deployment and management of cloud native services for both development and operations, resulting in increasing business agility.

In November 2020, IBM launched 5G and Edge Computing which helps businesses bringing computation and data storage closer to the source of the data, which further makes it easier to act on the insights generated from the data.

In August 2020, Talend released the 2020 update of its Talend Data Fabric solution for expanding cloud capabilities to meet the customer needs.

Data Types Covered:

  • Unstructured Data
  • Structured Data
  • Semi Structured Data

Components Covered:

  • Services
  • Software

Business Functions Covered:

  • Sales
  • Finance
  • Human Resources
  • Marketing
  • Operations

Organization Size Covered:

  • Small and Medium Sized Enterprises
  • Large Enterprises

Deployment Models Covered:

  • Cloud
  • On Premises
  • On Demand

Applications Covered:

  • Operations Management
  • Network Management
  • Risk Management
  • Revenue Management
  • Workforce Management
  • Supply Chain Management
  • Other Applications

End Users Covered:

  • Banking, Financial Services and Insurance
  • Healthcare and Life Sciences
  • Retail and E Commerce
  • Telecom and Information Technology
  • Manufacturing
  • Media and Entertainment
  • Travel and Hospitality
  • Energy and Utility
  • Government and Defense
  • Transportation and Logistics
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Prescriptive Analytics Market, By Data Type

  • 5.1 Introduction
  • 5.2 Unstructured Data
  • 5.3 Structured Data
  • 5.4 Semi Structured Data

6 Global Prescriptive Analytics Market, By Component

  • 6.1 Introduction
  • 6.2 Services
    • 6.2.1 Managed Services
    • 6.2.2 Professional Services
  • 6.3 Software

7 Global Prescriptive Analytics Market, By Business Function

  • 7.1 Introduction
  • 7.2 Sales
  • 7.3 Finance
  • 7.4 Human Resources
  • 7.5 Marketing
  • 7.6 Operations

8 Global Prescriptive Analytics Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small and Medium Sized Enterprises
  • 8.3 Large Enterprises

9 Global Prescriptive Analytics Market, By Deployment Model

  • 9.1 Introduction
  • 9.2 Cloud
  • 9.3 On Premises
  • 9.4 On Demand

10 Global Prescriptive Analytics Market, By Application

  • 10.1 Introduction
  • 10.2 Operations Management
  • 10.3 Network Management
  • 10.4 Risk Management
  • 10.5 Revenue Management
  • 10.6 Workforce Management
  • 10.7 Supply Chain Management
  • 10.8 Other Applications

11 Global Prescriptive Analytics Market, By End User

  • 11.1 Introduction
  • 11.2 Banking, Financial Services and Insurance
  • 11.3 Healthcare and Life Sciences
  • 11.4 Retail and E Commerce
  • 11.5 Telecom and Information Technology
  • 11.6 Manufacturing
  • 11.7 Media and Entertainment
  • 11.8 Travel and Hospitality
  • 11.9 Energy and Utility
  • 11.10 Government and Defense
  • 11.11 Transportation and Logistics
  • 11.12 Other End Users

12 Global Prescriptive Analytics Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Infor
  • 14.2 Oracle Corporation
  • 14.3 Teradata Corporation
  • 14.4 Salesforce.Com, Inc.
  • 14.5 Fair Isaac Corporation
  • 14.6 Sap Se
  • 14.7 Tibco Software Inc.
  • 14.8 IBM Corporation
  • 14.9 International Business Machines Corporation
  • 14.10 Frontline Systems Inc
  • 14.11 River Logic, Inc.
  • 14.12 Altair Engineering Inc
  • 14.13 Sas Institute Inc.
  • 14.14 Microsoft Corporation
  • 14.15 Profitect

List of Tables

  • Table 1 Global Prescriptive Analytics Market Outlook, By Region (2020-2028) ($MN)
  • Table 2 Global Prescriptive Analytics Market Outlook, By Data Type (2020-2028) ($MN)
  • Table 3 Global Prescriptive Analytics Market Outlook, By Unstructured Data (2020-2028) ($MN)
  • Table 4 Global Prescriptive Analytics Market Outlook, By Structured Data (2020-2028) ($MN)
  • Table 5 Global Prescriptive Analytics Market Outlook, By Semi Structured Data (2020-2028) ($MN)
  • Table 6 Global Prescriptive Analytics Market Outlook, By Component (2020-2028) ($MN)
  • Table 7 Global Prescriptive Analytics Market Outlook, By Services (2020-2028) ($MN)
  • Table 8 Global Prescriptive Analytics Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 9 Global Prescriptive Analytics Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 10 Global Prescriptive Analytics Market Outlook, By Software (2020-2028) ($MN)
  • Table 11 Global Prescriptive Analytics Market Outlook, By Business Function (2020-2028) ($MN)
  • Table 12 Global Prescriptive Analytics Market Outlook, By Sales (2020-2028) ($MN)
  • Table 13 Global Prescriptive Analytics Market Outlook, By Finance (2020-2028) ($MN)
  • Table 14 Global Prescriptive Analytics Market Outlook, By Human Resources (2020-2028) ($MN)
  • Table 15 Global Prescriptive Analytics Market Outlook, By Marketing (2020-2028) ($MN)
  • Table 16 Global Prescriptive Analytics Market Outlook, By Operations (2020-2028) ($MN)
  • Table 17 Global Prescriptive Analytics Market Outlook, By Organization Size (2020-2028) ($MN)
  • Table 18 Global Prescriptive Analytics Market Outlook, By Small and Medium Sized Enterprises (2020-2028) ($MN)
  • Table 19 Global Prescriptive Analytics Market Outlook, By Large Enterprises (2020-2028) ($MN)
  • Table 20 Global Prescriptive Analytics Market Outlook, By Deployment Model (2020-2028) ($MN)
  • Table 21 Global Prescriptive Analytics Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 22 Global Prescriptive Analytics Market Outlook, By On Premises (2020-2028) ($MN)
  • Table 23 Global Prescriptive Analytics Market Outlook, By On Demand (2020-2028) ($MN)
  • Table 24 Global Prescriptive Analytics Market Outlook, By Application (2020-2028) ($MN)
  • Table 25 Global Prescriptive Analytics Market Outlook, By Operations Management (2020-2028) ($MN)
  • Table 26 Global Prescriptive Analytics Market Outlook, By Network Management (2020-2028) ($MN)
  • Table 27 Global Prescriptive Analytics Market Outlook, By Risk Management (2020-2028) ($MN)
  • Table 28 Global Prescriptive Analytics Market Outlook, By Revenue Management (2020-2028) ($MN)
  • Table 29 Global Prescriptive Analytics Market Outlook, By Workforce Management (2020-2028) ($MN)
  • Table 30 Global Prescriptive Analytics Market Outlook, By Supply Chain Management (2020-2028) ($MN)
  • Table 31 Global Prescriptive Analytics Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 32 Global Prescriptive Analytics Market Outlook, By End User (2020-2028) ($MN)
  • Table 33 Global Prescriptive Analytics Market Outlook, By Banking, Financial Services and Insurance (2020-2028) ($MN)
  • Table 34 Global Prescriptive Analytics Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • Table 35 Global Prescriptive Analytics Market Outlook, By Retail and E Commerce (2020-2028) ($MN)
  • Table 36 Global Prescriptive Analytics Market Outlook, By Telecom and Information Technology (2020-2028) ($MN)
  • Table 37 Global Prescriptive Analytics Market Outlook, By Manufacturing (2020-2028) ($MN)
  • Table 38 Global Prescriptive Analytics Market Outlook, By Media and Entertainment (2020-2028) ($MN)
  • Table 39 Global Prescriptive Analytics Market Outlook, By Travel and Hospitality (2020-2028) ($MN)
  • Table 40 Global Prescriptive Analytics Market Outlook, By Energy and Utility (2020-2028) ($MN)
  • Table 41 Global Prescriptive Analytics Market Outlook, By Government and Defense (2020-2028) ($MN)
  • Table 42 Global Prescriptive Analytics Market Outlook, By Transportation and Logistics (2020-2028) ($MN)
  • Table 43 Global Prescriptive Analytics Market Outlook, By Other End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.