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市場調查報告書
商品編碼
1258856

到 2028 年的規範性分析市場預測——按數據類型、組件、業務功能、組織規模、部署模型、應用程序、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2022 年全球處方分析市場規模將達到 60 億美元，預計到 2028 年將達到 197 億美元，預測期內復合年增長率為 22.0%。據說長在

規範性分析是一種用於就公司的業務成果做出決策的技術。 規範分析可以通過最大化成本和客戶服務等目標之間的權衡來改善業務運營，提高客戶滿意度，並利用大數據來識別市場領先的潛力。它被用於各種業務。 規範分析是使用實踐和技術（包括描述性分析、診斷分析和預測分析）來預測給定情況下的可能結果的系統。

規範性分析通常提供有關潛在結果、過去結果和可用資源的數據等見解，以建議採取或糾正的行動或策略。 此外，規範分析不僅可以預測潛在結果，還可以分析為什麼可能會出現這種結果。 因此，經常使用規範模型來深入了解與可以從預測中受益的活動相關的建議。 由於有可能量化未來決策的影響並預測未來的結果，預計規範分析將在全球企業中看到需求的顯著增長。

根據 NASSCOM（全國軟件和服務公司協會）的一項研究，印度的分析行業預計到 2025 年將達到 160 億美元。

市場動態：

驅動程序

驅動力：越來越多的人接受實時數據訪問以實現高效的業務運營

希望在競爭激烈的市場中擴展業務的公司需要做出以數據為依據的決策。 實時數據訪問可幫助公司處理和分析數據，並用於生成常規策略以提高公司績效並獲得超越競爭對手的優勢。 商業智能和分析工具的好處越來越多地被利用，不僅是為了收集觀點，而且是為了實時推動戰略決策。 規範分析使用 ML 和 AI 來識別和推薦一組可用於控制可能的未來場景的操作或活動。

抑制：

數據的動態特性

大數據的性質取決於其數量、種類、速度、可變性和準確性，這使得數據集難以管理，尤其是當大量數據來自多個來源時。. 隨著公司轉向更多數據驅動的決策技術，數據增長將導致收集的數據類型發生變化。 這種增強的能力可能會令人困惑，因為技術進步提高了數據收集能力，並使得訪問具有類似效果的不同類型的數據變得更加容易。 企業廣泛使用預測分析來克服競爭激烈的行業中的障礙。 由於缺乏有效和高效的算法來獲取準確的數據，隨著數據不斷變化，其動態特性預計會限制分析。

機會

克服現有商業智能工具的不足

每家公司都受到不斷增加的數據量的影響。 不斷增加的數據量帶來了傳統 BI 系統無法跟上的複雜性。 因此，對更好的分析工具的需求正在增加。 當今的業務用戶需要能夠使他們響應業務問題、消費者交互、業務機會、威脅等的工具。 補充傳統 BI 方法並使公司能夠做出實時決策的高級分析包括描述性分析。 描述性和預測性分析都可用於識別規範性分析。

威脅：

基於業務需求的數據模型多樣性

在過去的幾十年裡，數據量以驚人的速度增長，這抑制了市場的增長。 大數據使公司能夠從傳感器、攝像頭、網絡等收集大量數據，以明確地與客戶互動並提供個性化的優惠和報價。 處理文本、視頻、圖像和音頻等非結構化數據需要一些高級分析模型。 例如，機器生成的數據將不同於網絡或社交媒體生成的數據。 供應鍊和運營分析可用於檢查機器生成的數據，社交媒體分析可用於分析在線和社交網絡數據。

COVID-19 的影響：

隨著封鎖、旅行限制和企業倒閉，COVID-19 正在影響許多國家/地區的企業和行業。 許多工廠和車間已經關閉，對國際市場上的生產、交貨時間和產品銷售產生了不利影響。 只有少數公司已經警告可能會延遲交貨和減少銷售。 歐洲、亞太地區和北美國家實施的國際旅行禁令也影響了商業關係和合作研究的機會。

銀行、金融服務和保險業預計在預測期內將成為最大的行業

BFSI 部分預計將在預期期間佔據最大的市場份額，因為銀行系統會生成大量數據，這些數據會助長欺詐活動。 因此，金融行業中與風險和欺詐相關的事件正在減少，從而積極增加了對規範分析的需求，以確保金融行業的安全。 此外，規範性分析結果正在幫助金融業提高客戶對其產品的滿意度。

在預測期內，供應鏈管理領域的複合年增長率預計最高。

供應鏈管理領域預計在預測期內的複合年增長率最高，因為製造、零售和批發等各個垂直行業都在採用供應鏈解決方案。 所有行業的庫存管理都得到供應鏈管理技術的幫助。 隨著原材料的購買和在製造中的使用，企業內部會產生大量數據。 然而，規範分析市場的供應鏈管理領域的需求是由降低成本和增加利潤的組織目標驅動的。

份額最大的地區

由於引入大數據、雲計算、社交媒體和移動性等新技術的成本不斷上升，北美地區將在 2021 年主導處方分析市場，預計這將在整個預測期內推動市場擴張。主導地位，預計在預測期內也將佔據最大的市場份額。 此外，垂直數據量將隨著新技術的採用而增加。 組織需要分析工具來獲得支持企業戰略制定的關鍵見解。 因此，規範性分析可幫助組織將其業務戰略建立在當前信息的基礎上。

複合年增長率最高的地區：

在預測期內，預計北美地區的複合年增長率最高，因為它通常被認為是推動市場發展的動力。 這是由於在接受大信息、雲創新、基於網絡的娛樂和移動創新等新進步方面的支出增加。 此外，對新技術創新的日益接受通常會增加所有領域的信息量。 組織需要科學儀器來獲取構建業務實踐所需的基本數據。

主要進展介紹：

2021 年 9 月，Infor 推出了其下一代酒店管理解決方案，該解決方案突出了移動功能以提供卓越的個性化賓客服務。

2021 年 8 月，Sisense 宣布了最新的 Sisense Q2 2021，使組織能夠構建可擴展的洞察力、探索最新功能、使用 Sisense Explanations 探索更多維度，並將圖像注入數據透視表。現在成為可能。

2021 年 5 月，SAS 宣布將通過將新的數據管理解決方案整合到其雲原生 SASViya 平台中來鞏固數據和分析成功的基礎。

2021 年 3 月，IBM 將推出 Cloud Satellite，為客戶提供隨時隨地的雲服務。 它使客戶能夠為開發和運營自動化部署和管理雲原生服務，從而提高業務敏捷性。

2020 年 11 月，IBM 宣布推出 5G 和邊緣計算，以幫助企業將計算和數據存儲移至更靠近數據源的位置，從而更輕鬆地根據數據產生的洞察採取行動。

2020 年 8 月，Talend 發布了其 Talend Data Fabric 解決方案的 2020 年更新，該解決方案擴展了雲功能以滿足客戶需求。

這份報告提供了什麼

  • 區域和國家級細分市場的市場份額評估
  • 向新進入者提出戰略建議
  • 2020、2021、2022、2025 和 2028 年的綜合市場數據
  • 市場驅動因素（市場趨勢、制約因素、機遇、威脅、挑戰、投資機會、建議等）
  • 根據市場預測在關鍵業務領域提出戰略建議
  • 競爭格局和趨勢
  • 公司簡介，包括詳細的戰略、財務狀況和近期發展
  • 供應鏈趨勢反映了最新的技術進步。

提供免費定制

購買此報告的客戶將免費獲得以下定制之一。

  • 公司簡介
    • 其他市場參與者的綜合概況（最多 3 家公司）
    • 主要參與者的 SWOT 分析（最多 3 人）
  • 區域細分
    • 根據客戶要求提供主要國家/地區的市場估算、預測和復合年增長率（注意：基於可行性檢查。）
  • 競爭基準
    • 根據產品組合、地域分佈和戰略聯盟對主要參與者進行基準測試。

內容

第 1 章執行摘要

第二章前言

  • 概覽
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 數據挖掘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 調查來源
    • 主要研究信息來源
    • 二手研究資源
    • 假設

第三章市場趨勢分析

  • 司機
  • 約束因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第 5 章全球規範分析市場：按數據類型

  • 非結構化數據
  • 結構化數據
  • 半結構化數據

第 6 章全球處方分析市場：按組件分類

  • 服務
    • 託管服務
    • 專業服務
  • 軟件

第 7 章全球規範分析市場：按業務功能分類

  • 銷售
  • 財務
  • 人力資源
  • 營銷
  • 運營

第 8 章全球規範分析市場：按組織規模

  • 中小企業
  • 大公司

第 9 章全球處方分析市場：按部署模型

  • 雲
  • 本地
  • 按需

第 10 章全球處方分析市場：按應用

  • 企業管理
  • 網絡管理
  • 危機管理
  • 收入管理
  • 勞動力管理
  • 供應鏈管理
  • 其他應用

第 11 章全球處方分析市場：按最終用戶分類

  • 銀行、金融服務和保險
  • 醫療保健和生命科學
  • 零售和電子商務
  • 電信和信息技術
  • 製造業
  • 媒體和娛樂
  • 旅遊和款待
  • 能源和公用事業
  • 政府和國防
  • 運輸/物流
  • 其他最終用戶

第 12 章全球處方分析市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 意大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 新西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 卡塔爾
    • 南非
    • 其他中東和非洲地區

第13章主要發展

  • 合同、夥伴關係、協作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第14章公司簡介

  • 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.