查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1618424

全球规范分析市场规模（按组件、资料类型、组织规模、部署模式、应用程式、业务功能、行业、地区、范围和预测）

Global Prescriptive Analytics Market Size By Component, By Data Type, By Organization Size, By Deployment Mode, By Application, By Business Function, By Verticals, 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

规范性分析市场规模与预测

2023 年规范分析市场规模为 74 亿美元，预计到 2031 年将达到 440.4 亿美元，2024 年至 2031 年复合年增长率为 24.98%。规范性分析涉及先进的数据分析和计算方法，为更好的决策提供可操作的见解和建议。这种方法在公司希望提高效率、降低风险并最大化竞争优势的动态且复杂的业务情况下特别有用。科技能够根据数据驱动的见解制定精确的行动，使其成为支持各产业策略决策的有效工具。规范性分析应用于各个领域，包括用于治疗优化的医疗保健、用于风险管理的财务、用于库存优化的供应链管理以及用于个人化客户参与的营销。

规范性分析市场动态

塑造规范分析市场的关键市场动态

主要市场推动因素

对明智决策的需求日益增加：

在当今数据驱动的世界中，企业非常瞭解数据管理在确定策略决策中的作用。规范性分析与预测性分析的不同之处在于，规范性分析建议采取适当的行动来实现所需的结果，而不是简单地预测结果。这种能力支持决策以及对障碍和机会的主动回应。因此，对知情决策日益增长的需求是该市场的关键驱动力之一。

竞争格局：

企业在竞争激烈的市场中寻求竞争优势。规范性分析透过研究为组织提供竞争优势的面向来充当策略差异化因素。因此，竞争格局正在推动规范分析的实践，以成功应对动态和竞争环境的课题。

人工智慧和机器学习 (ML) 的出现：

人工智慧和机器学习 (ML) 的出现是推动预测分析进步的变革力量。人工智慧和机器学习技术将极大地促进大规模数据分析。识别资料中的模式和趋势可以提高预测和建议的准确性。预判分析是公司在逐渐将人工智慧和机器学习融入其营运时采用这些技术来提供策略决策支援的自然演进。

主要课题

资料安全和隐私问题：

网路风险的增加，加上所涉及资料的敏感性，增加了未经授权的存取和破坏的可能性。因此，保护有价值的资讯免受恶意攻击非常重要，需要遵守严格的安全措施和资料保护标准。对机密性和隐私丧失的担忧是规范分析市场的基本障碍。

实施课题：

复杂性源自于将新技术无缝整合到旧系统的需要。将分析流程与既定工作流程保持一致需要严格的准备，并且通常需要克服组织内部对变革的阻力。复杂的实施困难限制了规范性分析的采用，并阻碍了其在改进决策方面的潜在好处的实现。

高初始投资：

实施规范性分析带来了许多财务课题，特别是因为它需要大量的初始投资。这包括购买适当的技术基础设施、获得软体许可证和培训员工等费用。因此，高昂的初始成本是规范分析市场成长的主要障碍。

主要趋势：

专注于即时和规范分析：

由于对快速洞察的需求不断增长，即时规范分析在市场上变得越来越受欢迎。金融和电子商务等动态环境中的企业需要即时建议来应对不断变化的市场条件。即时规范分析可确保决策者掌握最新讯息，并实现主动、明智的决策。这一趋势反映了快节奏商业环境中决策性质的变化。

针对特定产业的规范分析与解决方案：

认识到每个行业都面临着独特的课题和要求，规范性分析和解决方案越来越多地针对特定业务进行客製化。无论是医疗保健、银行、製造或零售，特定行业的规范分析和解决方案都能提供重点资讯。这一趋势凸显了客製化规范分析以充分满足不同行业的特定需求的价值，从而提高其相关性和有效性。

可解释的人工智慧在决策中的兴起：

可解释的人工智慧在规范分析领域越来越受欢迎。随着组织越来越依赖人工智慧驱动的演算法进行决策，这些演算法必须是透明的。可解释的人工智慧解决方案旨在透过提供关于如何产生建议的清晰且易于理解的见解来澄清决策过程。这一趋势满足了决策过程中对透明度和理解的需求，特别是在监管合规性和道德考虑很重要的行业。

规范分析市场的区域分析

规范分析市场的详细区域分析

北美：

根据 Verified Market Research 的数据，由于医疗保健产业扩大采用先进技术，预计北美将在预测期内主导规范分析市场。此外，银行、IT/电信和其他行业高端基础设施的建立正在为规范分析市场创造利润丰厚的机会。

该地区强大的 IT 基础设施（包括高速网路存取和先进的资料储存功能）为规范分析解决方案的顺利整合提供了理想的环境。这种增强的基础设施不仅可以高效处理大型资料集，还可以加速尖端技术的采用，使北美公司处于利用规范性分析进行策略决策的前沿。

此外，规范分析的引入正在改变北美的医疗保健产业。此外，对个人化医疗、改善病患照护和有效资源分配的需求不断增长，正在推动处方分析在医疗领域的应用。这项技术能够改变我们选择医疗保健的方式，最终提高整个北美的医疗保健品质。

欧洲

据估计，欧洲在全球规范分析市场中占据第二主导地位。鼓励数据驱动决策的监管政策，加上对製造业流程优化的需求不断增加，以及对工业 4.0 计划的坚定承诺，使欧洲处于实施规范分析的最前沿。

欧洲製造业对专注于优化营运和提高整体效率的规范性分析和解决方案的需求激增。随着公司努力在全球市场上保持竞争力，规范性分析在预测性维护和供应链优化中变得越来越重要。製造商正在采用规范性分析考量来简化流程、降低成本并保持竞争优势，该技术在推动欧洲工业领域的创新方面发挥关键作用，它展示了您所取得的成就。

此外，欧洲在工业 4.0 专案中的努力，重点是将数位技术引入製造流程，是预测分析使用的重要驱动力。作为更大的数位转型策略的一部分，工业 4.0 旨在实现生产自动化、网路化并改善资料交换。这项措施凸显了工业 4.0 和预测分析在推动欧洲产业提高效率和竞争方面的互利互动。

亚太地区：

由于快速的数位转型、政府促进大数据分析的举措以及中小企业 (SME) 意识的不断提高，预计亚太地区在估计和预测期内规范分析市场将以最高的复合年增长率增长。

在各行各业快速数位转型的推动下，该地区目前正在经历重大转型。这一转变的标誌是数位技术、自动化和创意数据驱动解决方案的广泛使用。规范性分析已成为这个不断发展的市场的关键驱动力，使企业能够利用技术的力量来做出更好的决策。

此外，亚太地区的中小企业 (SME) 越来越认识到规范性分析的好处。这一趋势意义重大，因为它代表了高阶分析技术的民主化，使各种规模的企业都能从规范分析中获益。中小企业意识和采用率的提高将有助于跨行业规范分析的使用多样化，并支持亚太地区行业格局的创新和弹性。

目录

第1章全球规范分析市场：简介

  • 市场概况
  • 调查范围
  • 先决条件

第 2 章执行摘要

第3章 验证市场研究研究方法

  • 数据挖掘
  • 确认
  • 初步面试
  • 数据源列表

第4章规范分析的全球市场展望

  • 概述
  • 市场动态
    • 促进因素
    • 阻碍因素
    • 机会
  • 波特的五力模型
  • 价值链分析

第5章全球规范分析市场：依组成部分

  • 概述
  • 软体
  • 服务
    • 专业的服务
    • 託管服务

第6章全球规范分析市场：依资料类型

  • 概述
  • 半结构化
  • 结构化
  • 非结构化

第7章全球规范分析市场：依应用分类

  • 概述
  • 营运管理
  • 收入管理
  • 风险管理
  • 网路管理
  • 劳动力管理
  • 供应链管理
  • 其他

第8章全球规范分析市场：依业务功能划分

  • 概述
  • 金融
  • 人力资源（HR）
  • 营销
  • 手术
  • 销售部

第 9 章全球规范分析市场：依部署类型

  • 概述
  • 在基地
  • 本地

第 10 章 全球规范分析市场：依产业分类

  • 概述
  • 银行、金融服务和保险 (BFSI)
  • 零售、电子商务
  • 媒体与娱乐
  • 製造业
  • 旅行/款待
  • 能源与公用事业
  • 通信/IT
  • 运输
  • 医疗保健和生命科学
  • 政府/国防
  • 其他

第11章全球规范分析市场：按地区

  • 概述
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 亚太其他地区
  • 世界其他地区
    • 拉丁美洲
    • 中东/非洲

第12章全球规范分析市场：竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第13章 公司简介

  • IBM
  • SAS
  • Oracle
  • Microsoft
  • SAP
  • Teradata
  • Accenture
  • Deloitte
  • PwC
  • KPMG

第14章附录

  • 相关研究
简介目录
Product Code: 9598

Prescriptive Analytics Market Size And Forecast

Prescriptive Analytics Market size was valued at USD 7.4 Billion in 2023 and is projected to reach USD 44.04 Billion by 2031, growing at a CAGR of 24.98% from 2024 to 2031. Prescriptive analytics involves advanced data analysis and computational approaches to deliver actionable insights and recommendations for better decision-making. This approach is especially useful in dynamic and complicated business situations where businesses want to improve efficiency, reduce risk, and maximize their competitive edge. The ability of technology to prescribe exact actions based on data-driven insights makes it an effective tool for strategic decision support across a wide range of industries. Prescriptive analytics has applications in a variety of sectors, including healthcare for treatment optimization, finance for risk management, supply chain management for inventory optimization, and marketing for individualized client engagement.

Prescriptive Analytics Market Dynamics

The key market dynamics that are shaping the Prescriptive Analytics Market include:

Key Market Drivers

Growing Need for Informed Decision-Making:

In today's data-driven world, the role of data management in determining strategic decisions is very well understood by the companies. Prescriptive analytics is different from predictive analytics as it recommends appropriate activities to achieve desired results rather than simply predicting them. This capacity supports in decision-making as well as proactively handling obstacles and opportunities. Thus, one key driver is the increasing need for informed decision-making in this market.

Competitive Business Landscape:

Organizations seek a competitive advantage in highly competitive markets. Prescriptive analytics acts as a strategic differentiator by giving insights into aspects that will help organizations stay ahead of the competition. As a result, the competitive business landscape is encouraging the practice of prescriptive analytics for successfully navigating the challenges of a dynamic and competitive company environment.

Emergence of AI and Machine Learning (ML):

The emergence of AI and Machine Learning (ML) is a transformational force propelling the progress of predictive analytics. AI and machine learning technologies make major contributions to large-scale data analysis. Identifying patterns and trends in data improves the accuracy of predictions and recommendations. Prescriptive analytics is a natural evolution in employing these technologies for strategic decision support as firms progressively integrate AI and ML into their operations.

Key Challenges:

Data Security and Privacy Concerns:

The increasing incidence of cyber risks, combined with the sensitivity of the data involved, raises the possibility of illegal access and breaches. Thus, protecting valuable information from malicious attempts becomes important, mandating strict security measures and adherence to data protection standards. The concern of losing confidentiality and privacy is a fundamental barrier in the Prescriptive Analytics Market.

Implementation Challenges:

The complexity arises from the requirement to seamlessly incorporate new technology into old systems. Aligning analytics processes with established workflows necessitates rigorous preparation and frequently involves overcoming resistance to change inside the organization. The complexities of implementation difficulties limit the adoption of prescriptive analytics, preventing it from realizing its potential benefits for improved decision-making.

High Initial Investment:

The route to deploying prescriptive analytics is filled with financial challenges, particularly due to the large initial investment necessary. This includes the expenditures of acquiring the appropriate technical infrastructure, obtaining software licensing, and training employees. Therefore, high initial costs serve as a significant obstacle to the growth of the Prescriptive Analytics Market.

Key Trends:

Focus on Real-Time Prescriptive Analytics:

Real-time prescriptive analytics is becoming increasingly popular in the market, owing to the increased demand for fast insights. Businesses in dynamic environments, such as finance and e-commerce, require immediate suggestions to respond to changing market conditions. Real-time prescriptive analytics guarantees that decision-makers have up-to-date information, allowing them to make informed and proactive decisions. This trend reflects the changing nature of decision-making in a fast-paced commercial environment.

Industry-Specific Prescriptive Analytics Solutions:

Prescriptive analytics solutions are increasingly being tailored to specific businesses, understanding that each sector faces unique challenges and requirements. Whether in healthcare, banking, manufacturing, or retail, industry-specific prescriptive analytics solutions provide focused information. This trend emphasizes the significance of customization in ensuring that prescriptive analytics matches perfectly with the individual needs of various industries, hence increasing relevance and efficacy.

Rise of Explainable AI in Decision-Making:

Explainable AI is gaining traction in the prescriptive analytics space. Organizations are depending more and more on AI-driven algorithms to make decisions; hence these algorithms must be transparent. Explainable AI solutions seek to clarify the decision-making process by offering clear and intelligible insights into how recommendations are generated. This trend addresses the need for transparency and comprehension in decision-making processes, particularly in industries where regulatory compliance and ethical considerations are critical.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

Prescriptive Analytics Market Regional Analysis

Here is a more detailed regional analysis of the Prescriptive Analytics Market:

North America:

According to Verified Market Research, North America is estimated to dominate the Prescriptive Analytics Market during the forecast period owing to increasing adoption of advanced technologies in the healthcare sector. Also, the establishment of hi-end infrastructure for the banking, IT and telecommunication, and other sectors is creating lucrative opportunities for the Prescriptive Analytics Market.

The region's strong IT infrastructure, which includes high-speed internet access and advanced data storage capabilities, provides an ideal environment for the smooth integration of prescriptive analytics solutions. This enhanced infrastructure not only enables the effective processing of large datasets but also speeds up the installation of modern technologies, putting North American companies at the forefront of using prescriptive analytics for strategic decision-making.

Furthermore, the implementation of prescriptive analytics is transforming the healthcare sector in North America. Additionally, rising demand for personalized medicine, improved patient care, and efficient resource allocation is bolstering the application of prescriptive analytics in the medical sector. The technology's ability to alter how medical choices are made is ultimately enhancing the quality of care across North America.

Europe:

Europe is estimated to hold second dominant position in the global Prescriptive Analytics Market. Regulatory policies encouraging data-driven decision-making, combined with increased demand for process optimization in manufacturing and a strong commitment to Industry 4.0 programs, place Europe at the forefront of prescriptive analytics adoption.

The manufacturing industry in Europe is surging the demand for prescriptive analytics solutions with the primary focus on optimizing operations and improve overall efficiency. Prescriptive analytics is becoming increasingly important in predictive maintenance and supply chain optimization as firms strive to maintain their competitiveness in a global marketplace. Manufacturers streamline processes, decrease costs, and preserve a competitive advantage by employing prescriptive analytics insights, demonstrating the technology's critical role in driving innovations in the European industrial scene.

Furthermore, Europe's commitment to Industry 4.0 projects, which revolve around the incorporation of digital technology into manufacturing processes, is an important driver for the use of predictive analytics. As part of a larger digital transformation strategy, Industry 4.0 aspires to improve production automation, networking, and data exchange. This driver highlights the mutually beneficial interaction between Industry 4.0 and prescriptive analytics in moving European industries to higher efficiency and competitiveness.

Asia Pacific:

Asia-Pacific is estimated to grow at the highest CAGR in the Prescriptive Analytics Market during the forecast period owing to rapid digital transformation, government initiatives promoting big data analytics, and rising awareness among small and medium-sized enterprises (SMEs).

This region is currently undergoing a significant upheaval, driven by fast digital transformation across a wide range of businesses. This transition is distinguished by the widespread use of digital technologies, automation, and creative data-driven solutions. In this evolving market, prescriptive analytics emerges as a critical driver, allowing enterprises to harness the power of technology for better decision-making.

Furthermore, small and medium-sized organizations (SMEs) in the Asia Pacific are becoming more aware of the benefits of prescriptive analytics. This trend is significant because it represents the democratization of advanced analytics technologies, allowing businesses of all sizes to reap the benefits of prescriptive analytics. Increased awareness and uptake among SMEs help to diversify prescriptive analytics applications across industries, supporting innovation and resilience in the Asia Pacific business landscape.

Global Prescriptive Analytics Market: Segmentation Analysis

The Global Prescriptive Analytics Market is segmented on the basis of Component, Data Type, Deployment Mode, Organization Size, Application, Business Function, Vertical, And Geography.

Prescriptive Analytics Market, By Component

  • Software
  • Services
  • Professional Services
  • Managed Services

Based on Component, the market is segmented into Software and Services. The Services segment is estimated to dominate the Prescriptive Analytics Market. Services include advice, training, implementation, and support. Given the complexities of prescriptive analytics applications and the various needs of companies across industries, service providers play a critical role in advising customers through the whole lifecycle of adopting and implementing predictive analytics. These services not only help with the initial integration of analytics solutions but also ensure continuing optimization to meet increasing business requirements.

Prescriptive Analytics Market, By Data Type

  • Unstructured
  • Semi-structured
  • Structured

Based on Data Type, the market is segmented into Unstructured, Semi-structured, and Structured. The unstructured segment is estimated to dominate the market over the forecast period. Unstructured data, which includes textual, visual, and aural information, makes up a significant component of the data environment. As organizations grasp the importance of unstructured data, prescriptive analytics solutions that excel at extracting actionable insights from a variety of sources gain traction. The capacity to analyze and comprehend unstructured data provides a more complete picture of market trends, customer sentiments, and operational intricacies that standard structured data may not capture.

Prescriptive Analytics Market, By Deployment Mode

  • On-Premise
  • Cloud-Based

Based on Deployment Mode, the market is segmented into On-Premise and Cloud-Based. The based segment is estimated to dominate the global market owing to its inherent advantages that align with the evolving needs of organizations. Cloud-based solutions provide exceptional scalability, allowing firms to grow or shrink their analytical capabilities based on demand. The cost-effectiveness of cloud deployment, with its pay-as-you-go model, enables enterprises to optimize their budgets while gaining access to advanced predictive analytics capabilities. Furthermore, the ease of adoption and decreased reliance on in-house IT infrastructure make cloud-based solutions available to a wider spectrum of firms, from small businesses to huge multinationals. With the increased emphasis on remote work and the requirement for real-time insights, cloud-based prescriptive analytics solutions offer a centralized and accessible platform for decision-makers, promoting collaborative and agile decision-making processes.

Prescriptive Analytics Market, By Organization Size

  • Large Enterprises
  • Small-Medium Enterprises

Based on Organization Size, the market is segmented into Large Enterprises and Small-Medium Enterprises. Large Enterprises are estimated to lead this segment market in over the forecast period. Large organizations have the financial resources and organizational scale to spend heavily on prescriptive analytics solutions, allowing them to use these technologies for informed decision-making. Large companies' vast datasets benefit from the advanced analytical capabilities of prescriptive analytics, allowing them to unearth subtle insights and optimize operations at the granular level. Furthermore, the deployment of prescriptive analytics corresponds with large organizations' strategic aims of maintaining a competitive advantage, improving operational efficiency, and navigating complex market dynamics.

Prescriptive Analytics Market, By Application

  • Risk Management
  • Operation Management
  • Revenue Management
  • Networking Management
  • Workforce Management
  • Supply Chain Management
  • Others

Based on Application, the market is segmented into Risk Management, Operation Management, Revenue Management, Networking Management, Workforce Management, Supply Chain Management, and Others. Supply Chain Management application is estimated to hold the majority share in the forecast period in the Prescriptive Analytics Market due to its transformative impact on optimizing and streamlining complex supply chain processes. The SCM application category uses prescriptive analytics to improve demand forecasting accuracy, inventory management, and logistics optimization. Organizations use real-time data and smart algorithms to proactively identify potential interruptions, mitigate risks, and guarantee that items flow efficiently from production to delivery. The prescriptive analytics capabilities in the SCM segment enable businesses to make educated decisions, resulting in cost savings, greater operational efficiency, and a more robust and responsive supply chain ecosystem.

Prescriptive Analytics Market, By Business Function

  • Human Resource (HR)
  • Sales
  • Marketing
  • Finance
  • Operations

Based on Business Function, the market is segmented into HR, Sales, Marketing, Finance, and Operations. The finance segment is estimated to lead dominate the marketthis segment over the forecast period. Financial organizations, such as banks, insurance companies, and investment firms, make heavy use of prescriptive analytics to obtain a competitive advantage in a fast-paced, data-driven business. Prescriptive analytics is used in finance to control risk, detect fraud, optimize portfolios, and gain insights into customers. The technology's capacity to give actionable recommendations based on extensive data analysis is well aligned with the finance sector's demand for precise decision-making.

Prescriptive Analytics Market, By Verticals

  • Banking, Financial Services and Insurance (BFSI)
  • Retail & E-commerce
  • Media & Entertainment
  • Manufacturing
  • Travel and Hospitality
  • Energy & Utilities
  • Telecom and IT
  • Transportation and Logistics
  • Healthcare & Life Sciences
  • Government and Defense
  • Others

Based on Verticals, the market is segmented into BFSI, Retail & E-Commerce, Media & Entertainment, Manufacturing, Travel and Hospitality, Energy & Utilities, Telecom & IT, Transportation & Logistics, Healthcare & Life Sciences, Government & Defense, and Others. The Retail and e-commerce vertical segment is estimated to show the highest growth in the forecasted period due to the sector's relentless pursuit of optimizing operations, enhancing customer experiences, and staying ahead in the fiercely competitive market. Prescriptive analytics transforms retail and e-commerce by offering actionable insights that go beyond predictions, driving strategic inventory management, demand forecasting, pricing strategies, and tailored consumer engagement. The capacity to prescribe exact actions based on real-time data allows these companies to optimize supply chains, cut costs, and customize marketing campaigns to individual client preferences.

Key Players

  • The "Global Prescriptive Analytics Market" study report will provide valuable insight with an emphasis on the global market including some of the major players such as
  • IBM, SAS, Oracle, Microsoft, SAP, Teradata, Accenture, Deloitte, PwC, KPMG, EY, FICO, Fair Isaac, Dun & Bradstreet, LexisNexis, Mutability, OptumInsight, SymphonyAI and Palantir Technologies.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

  • In January 2024, IBM announced a cooperation with Siemens to combine its prescriptive analytics platform, IBM Maximo Asset Management, with Siemens MindSphere, an industrial IoT platform. This alliance intends to give manufacturers more detailed data and predictive maintenance capabilities.
  • In January 2024, Microsoft launched new features for Azure Machine Learning, including prescriptive model explainability and automatic model retraining. These features will help firms deploy and manage prescriptive analytics models in production.
  • In January 2024, Teradata announced the inclusion of Explainable AI (XAI) capabilities into the Teradata Vantage platform. This will help users grasp the reasoning behind prescriptive models, making them more credible and actionable.
  • In January 2024, Accenture announced the acquisition of Idioma, a firm that specializes in prescriptive supply chain analytics. This acquisition will boost Accenture's ability to assist businesses in optimizing their logistics and inventory management.
  • In January 2024, PwC announced the introduction of its AI-powered platform, Valuate. This platform employs prescriptive analytics to assist organizations in making more informed pricing, marketing, and product development decisions.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL PRESCRIPTIVE ANALYTICS 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 PRESCRIPTIVE ANALYTICS 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 PRESCRIPTIVE ANALYTICS MARKET, BY COMPONENT

  • 5.1 Overview
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY DATA TYPE

  • 6.1 Overview
  • 6.2 Semi-Structured
  • 6.3 Structured
  • 6.4 Unstructured

7 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY APPLICATION

  • 7.1 Overview
  • 7.2 Operations Management
  • 7.3 Revenue Management
  • 7.4 Risk Management
  • 7.5 Networking Management
  • 7.6 Workforce Management
  • 7.7 Supply Chain Management
  • 7.8 Others

8 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY BUSINESS FUNCTION

  • 8.1 Overview
  • 8.2 Finance
  • 8.3 Human Resources (HR)
  • 8.4 Marketing
  • 8.5 Operations
  • 8.6 Sales

9 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY DEPLOYMENT MODE

  • 9.1 Overview
  • 9.2 On-Based
  • 9.3 On-Premise

10 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY VERTICAL

  • 10.1 Overview
  • 10.2 Banking, Financial Services, and Insurance (BFSI)
  • 10.3 Retail & E-commerce
  • 10.4 Media & Entertainment
  • 10.5 Manufacturing
  • 10.6 Travel and Hospitality
  • 10.7 Energy & Utilities
  • 10.8 Telecom and IT
  • 10.9 Transportation and Logistics
  • 10.10 Healthcare & Life Sciences
  • 10.11 Government and Defense
  • 10.12 Others

11 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, BY GEOGRAPHY

  • 11.1 Overview
  • 11.2 North America
    • 11.2.1 U.S.
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 U.K.
    • 11.3.3 France
    • 11.3.4 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 Japan
    • 11.4.3 India
    • 11.4.4 Rest of Asia Pacific
  • 11.5 Rest of the World
    • 11.5.1 Latin America
    • 11.5.2 Middle East & Africa

12 GLOBAL PRESCRIPTIVE ANALYTICS MARKET, COMPETITIVE LANDSCAPE

  • 12.1 Overview
  • 12.2 Company Market Ranking
  • 12.3 Key Development Strategies

13 COMPANY PROFILES

  • 13.1 IBM
    • 13.1.1 Overview
    • 13.1.2 Financial Performance
    • 13.1.3 Product Outlook
    • 13.1.4 Key Developments
  • 13.2 SAS
    • 13.2.1 Overview
    • 13.2.2 Financial Performance
    • 13.2.3 Product Outlook
    • 13.2.4 Key Developments
  • 13.3 Oracle
    • 13.3.1 Overview
    • 13.3.2 Financial Performance
    • 13.3.3 Product Outlook
    • 13.3.4 Key Developments
  • 13.4 Microsoft
    • 13.4.1 Overview
    • 13.4.2 Financial Performance
    • 13.4.3 Product Outlook
    • 13.4.4 Key Developments
  • 13.5 SAP
    • 13.5.1 Overview
    • 13.5.2 Financial Performance
    • 13.5.3 Product Outlook
    • 13.5.4 Key Developments
  • 13.6 Teradata
    • 13.6.1 Overview
    • 13.6.2 Financial Performance
    • 13.6.3 Product Outlook
    • 13.6.4 Key Developments
  • 13.7 Accenture
    • 13.7.1 Overview
    • 13.7.2 Financial Performance
    • 13.7.3 Product Outlook
    • 13.7.4 Key Developments
  • 13.8 Deloitte
    • 13.8.1 Overview
    • 13.8.2 Financial Performance
    • 13.8.3 Product Outlook
    • 13.8.4 Key Developments
  • 13.9 PwC
    • 13.9.1 Overview
    • 13.9.2 Financial Performance
    • 13.9.3 Product Outlook
    • 13.9.4 Key Developments
  • 13.10 KPMG
    • 13.10.1 Overview
    • 13.10.2 Financial Performance
    • 13.10.3 Product Outlook
    • 13.10.4 Key Developments

14 Appendix

  • 14.1 Related Research