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市場調查報告書

商品編碼

1618424

全球規範分析市場規模（按組件、資料類型、組織規模、部署模式、應用程式、業務功能、行業、地區、範圍和預測）

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: 2024年08月22日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

規範性分析市場規模與預測

2023 年規範分析市場規模為 74 億美元，預計到 2031 年將達到 440.4 億美元，2024 年至 2031 年複合年增長率為 24.98%。規範性分析涉及先進的數據分析和計算方法，為更好的決策提供可操作的見解和建議。這種方法在公司希望提高效率、降低風險並最大化競爭優勢的動態且複雜的業務情況下特別有用。科技能夠根據數據驅動的見解制定精確的行動，使其成為支持各產業策略決策的有效工具。規範性分析應用於各個領域，包括用於治療優化的醫療保健、用於風險管理的財務、用於庫存優化的供應鏈管理以及用於個人化客戶參與的營銷。

規範性分析市場動態

塑造規範分析市場的關鍵市場動態

主要市場推動因素

對明智決策的需求日益增加：

在當今數據驅動的世界中，企業非常瞭解數據管理在確定策略決策中的作用。規範性分析與預測性分析的不同之處在於，規範性分析建議採取適當的行動來實現所需的結果，而不是簡單地預測結果。這種能力支持決策以及對障礙和機會的主動回應。因此，對知情決策日益增長的需求是該市場的關鍵驅動力之一。

競爭格局：

企業在競爭激烈的市場中尋求競爭優勢。規範性分析透過研究為組織提供競爭優勢的面向來充當策略差異化因素。因此，競爭格局正在推動規範分析的實踐，以成功應對動態和競爭環境的課題。

人工智慧和機器學習 (ML) 的出現：

人工智慧和機器學習 (ML) 的出現是推動預測分析進步的變革力量。人工智慧和機器學習技術將極大地促進大規模數據分析。識別資料中的模式和趨勢可以提高預測和建議的準確性。預判分析是公司在逐漸將人工智慧和機器學習融入其營運時採用這些技術來提供策略決策支援的自然演進。

主要課題

資料安全和隱私問題：

網路風險的增加，加上所涉及資料的敏感性，增加了未經授權的存取和破壞的可能性。因此，保護有價值的資訊免受惡意攻擊非常重要，需要遵守嚴格的安全措施和資料保護標準。對機密性和隱私喪失的擔憂是規範分析市場的基本障礙。

實施課題：

複雜性源自於將新技術無縫整合到舊系統的需要。將分析流程與既定工作流程保持一致需要嚴格的準備，並且通常需要克服組織內部對變革的阻力。複雜的實施困難限制了規範性分析的採用，並阻礙了其在改進決策方面的潛在好處的實現。

高初始投資：

實施規範性分析帶來了許多財務課題，特別是因為它需要大量的初始投資。這包括購買適當的技術基礎設施、獲得軟體許可證和培訓員工等費用。因此，高昂的初始成本是規範分析市場成長的主要障礙。

主要趨勢：

專注於即時和規範分析：

由於對快速洞察的需求不斷增長，即時規範分析在市場上變得越來越受歡迎。金融和電子商務等動態環境中的企業需要即時建議來應對不斷變化的市場條件。即時規範分析可確保決策者掌握最新訊息，並實現主動、明智的決策。這一趨勢反映了快節奏商業環境中決策性質的變化。

針對特定產業的規範分析與解決方案：

認識到每個行業都面臨著獨特的課題和要求，規範性分析和解決方案越來越多地針對特定業務進行客製化。無論是醫療保健、銀行、製造或零售，特定行業的規範分析和解決方案都能提供重點資訊。這一趨勢凸顯了客製化規範分析以充分滿足不同行業的特定需求的價值，從而提高其相關性和有效性。

可解釋的人工智慧在決策中的興起：

可解釋的人工智慧在規範分析領域越來越受歡迎。隨著組織越來越依賴人工智慧驅動的演算法進行決策，這些演算法必須是透明的。可解釋的人工智慧解決方案旨在透過提供關於如何產生建議的清晰且易於理解的見解來澄清決策過程。這一趨勢滿足了決策過程中對透明度和理解的需求，特別是在監管合規性和道德考慮很重要的行業。

規範分析市場的區域分析

規範分析市場的詳細區域分析

北美：

根據 Verified Market Research 的數據，由於醫療保健產業擴大採用先進技術，預計北美將在預測期內主導規範分析市場。此外，銀行、IT/電信和其他行業高端基礎設施的建立正在為規範分析市場創造利潤豐厚的機會。

該地區強大的 IT 基礎設施（包括高速網路存取和先進的資料儲存功能）為規範分析解決方案的順利整合提供了理想的環境。這種增強的基礎設施不僅可以高效處理大型資料集，還可以加速尖端技術的採用，使北美公司處於利用規範性分析進行策略決策的前沿。

此外，規範分析的引入正在改變北美的醫療保健產業。此外，對個人化醫療、改善病患照護和有效資源分配的需求不斷增長，正在推動處方分析在醫療領域的應用。這項技術能夠改變我們選擇醫療保健的方式，最終提高整個北美的醫療保健品質。

歐洲

據估計，歐洲在全球規範分析市場中佔據第二主導地位。鼓勵數據驅動決策的監管政策，加上對製造業流程優化的需求不斷增加，以及對工業 4.0 計劃的堅定承諾，使歐洲處於實施規範分析的最前沿。

歐洲製造業對專注於優化營運和提高整體效率的規範性分析和解決方案的需求激增。隨著公司努力在全球市場上保持競爭力，規範性分析在預測性維護和供應鏈優化中變得越來越重要。製造商正在採用規範性分析考量來簡化流程、降低成本並保持競爭優勢，該技術在推動歐洲工業領域的創新方面發揮關鍵作用，它展示了您所取得的成就。

此外，歐洲在工業 4.0 專案中的努力，重點是將數位技術引入製造流程，是預測分析使用的重要驅動力。作為更大的數位轉型策略的一部分，工業 4.0 旨在實現生產自動化、網路化並改善資料交換。這項措施凸顯了工業 4.0 和預測分析在推動歐洲產業提高效率和競爭方面的互利互動。

亞太地區：

由於快速的數位轉型、政府促進大數據分析的舉措以及中小企業 (SME) 意識的不斷提高，預計亞太地區在估計和預測期內規範分析市場將以最高的複合年增長率增長。

在各行各業快速數位轉型的推動下，該地區目前正在經歷重大轉型。這一轉變的標誌是數位技術、自動化和創意數據驅動解決方案的廣泛使用。規範性分析已成為這個不斷發展的市場的關鍵驅動力，使企業能夠利用技術的力量來做出更好的決策。

此外，亞太地區的中小企業 (SME) 越來越認識到規範性分析的好處。這一趨勢意義重大，因為它代表了高階分析技術的民主化，使各種規模的企業都能從規範分析中獲益。中小企業意識和採用率的提高將有助於跨行業規範分析的使用多樣化，並支持亞太地區行業格局的創新和彈性。

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.

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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.

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