処方的分析の世界市場規模：コンポーネント別、データタイプ別、組織規模別、展開モード別、用途別、ビジネスファンクション別、業界別、地域別、範囲および予測

処方的分析の市場規模と予測

処方的分析市場規模は、2023年に74億米ドルと評価され、2024年から2031年にかけて24.98%のCAGRで成長し、2031年には440億4,000万米ドルに達すると予測されます。処方的分析には、より良い意思決定のために実用的な洞察と推奨を提供するための高度なデータ分析と計算アプローチが含まれます。このアプローチは、企業が効率性の向上、リスクの削減、競争力の最大化を望むダイナミックで複雑なビジネス状況において特に有用です。データ主導の洞察に基づいて的確な行動を処方するテクノロジーの能力により、幅広い業界において戦略的意思決定を支援する効果的なツールとなります。処方的分析は、治療最適化のためのヘルスケア、リスク管理のためのファイナンス、在庫最適化のためのサプライチェーンマネジメント、個別の顧客エンゲージメントのためのマーケティングなど、さまざまな分野で応用されています。

処方的分析市場力学

処方的分析市場を形成している主な市場力学

主な市場促進要因

情報に基づいた意思決定へのニーズの高まり：

今日のデータ主導の世界では、戦略的意思決定の決定におけるデータ管理の役割は、企業によって非常によく理解されています。処方的分析は予測的アナリティクスとは異なり、単に結果を予測するのではなく、望ましい結果を達成するために適切な活動を推奨します。この能力は、意思決定だけでなく、障害や機会への積極的な対応をサポートします。このように、この市場では情報に基づいた意思決定に対するニーズが高まっていることが、1つの重要な促進要因となっています。

競合情勢：

企業は競争の激しい市場で競争上の優位性を追求しています。処方的分析は、組織が競争で優位に立つための側面を考察することで、戦略的差別化要因として機能します。その結果、競合情勢は、ダイナミックで競合環境の課題をうまく乗り切るための処方的分析の実践を後押ししています。

AIと機械学習（ML）の出現：

AIと機械学習（ML）の出現は、予測アナリティクスの進歩を推進する変革的な力です。AIと機械学習技術は、大規模なデータ分析に大きく貢献します。データのパターンや動向を特定することで、予測や推奨の精度が向上します。プレシプティブ・アナリティクスは、企業がAIとMLを業務に徐々に統合していく中で、戦略的意思決定支援のためにこれらのテクノロジーを採用する際の自然な進化です。

主な課題

データ・セキュリティとプライバシーへの懸念：

サイバーリスクの増加は、関連するデータの機密性と相まって、不正アクセスや侵害の可能性を高めています。そのため、悪意ある試みから貴重な情報を保護することが重要になり、厳格なセキュリティ対策とデータ保護基準の遵守が義務付けられています。機密性とプライバシーが失われる懸念は、処方的分析市場における根本的な障壁です。

実装の課題：

複雑さは、新しいテクノロジーを古いシステムにシームレスに組み込む必要性から生じる。アナリティクス・プロセスを確立されたワークフローと整合させるためには、厳密な準備が必要であり、組織内部の変化に対する抵抗に打ち勝つ必要があることも多いです。複雑な導入の難しさは、処方的分析の採用を制限し、意思決定の改善という潜在的なメリットの実現を妨げます。

高額な初期投資：

処方的分析の導入には、特に多額の初期投資が必要となるため、財務上の課題が山積しています。これには、適切な技術インフラの取得、ソフトウェアライセンスの取得、従業員のトレーニングなどの出費が含まれます。したがって、初期コストの高さは、処方的分析市場の成長にとって大きな障害となります。

主な動向：

リアルタイム・処方的分析への注力：

リアルタイム・処方的分析は、迅速な洞察に対する需要の高まりにより、市場でますます普及しています。金融やeコマースなど、ダイナミックな環境にある企業は、変化する市場環境に対応するため、即座の提案を必要としています。リアルタイムの処方的分析は、意思決定者に最新の情報を保証し、情報に基づいた積極的な意思決定を可能にします。この動向は、ペースの速い商業環境における意思決定の性質の変化を反映しています。

業界に特化した処方的分析・ソリューション：

処方的分析・ソリューションは、各業界が独自の課題や要件に直面していることを理解し、特定のビジネスに合わせてカスタマイズされるようになってきています。ヘルスケア、銀行、製造業、小売業のいずれにおいても、業界固有の処方的分析・ソリューションは、焦点を絞った情報を提供します。この動向は、処方的分析が様々な業界の個別のニーズに完全に合致するようにカスタマイズすることの意義を強調し、その結果、関連性と有効性を高めています。

意思決定における説明可能なAIの台頭：

説明可能なAIは、処方的分析の分野で人気を集めています。組織は、意思決定をAI主導のアルゴリズムにますます依存するようになっているため、これらのアルゴリズムは透明でなければならないです。説明可能なAIソリューションは、推奨事項がどのように生成されるかについて明確で分かりやすい洞察を提供することで、意思決定プロセスを明確にしようとしています。この動向は、特に規制遵守と倫理的配慮が重要な業界において、意思決定プロセスにおける透明性と理解の必要性に対処するものです。

処方的分析市場の地域分析

処方的分析市場の詳細な地域分析

北米です：

Verified Market Research社によると、北米はヘルスケア分野での先端技術の採用が増加していることから、予測期間中、Prescriptive Analytics市場を独占すると予測されています。また、銀行、IT・通信、その他の分野でのハイエンドインフラの確立が、処方的分析市場に有利な機会を生み出しています。

この地域の高速インターネットアクセスや高度なデータストレージ機能を含む強力なITインフラは、処方的分析ソリューションの円滑な統合に理想的な環境を提供しています。この強化されたインフラは、大規模なデータセットの効率的な処理を可能にするだけでなく、最新技術の導入を加速させ、北米企業を戦略的意思決定のための処方的分析活用の最前線に立たせています。

さらに、処方的分析の導入は北米のヘルスケア分野を変革しつつあります。さらに、個別化医療、患者ケアの改善、効率的な資源配分に対する需要の高まりが、医療分野における処方的分析の応用を後押ししています。医療選択の方法を変えるこの技術の能力は、最終的に北米全体の医療の質を高めています。

欧州

欧州は世界のPrescriptive Analytics市場において第2位の支配的地位を占めると推定されます。データ主導の意思決定を奨励する規制政策と、製造業におけるプロセス最適化の需要増、インダストリー4.0プログラムへの強いコミットメントが相まって、欧州は処方的分析導入の最前線に位置しています。

欧州の製造業界では、業務の最適化と全体的な効率の向上に主眼を置いた処方的分析・ソリューションの需要が急増しています。企業が世界マーケットでの競合維持に努める中、予知保全とサプライチェーンの最適化において、処方的分析の重要性が増しています。メーカー各社は、処方的分析の考察を採用することで、プロセスを合理化し、コストを削減し、競争優位性を維持しており、この技術が欧州の産業シーンにおけるイノベーションの推進に重要な役割を果たしていることを示しています。

さらに、製造工程へのデジタル技術の導入を中心とするインダストリー4.0プロジェクトに対する欧州の取り組みは、予測アナリティクスの利用にとって重要な推進力となっています。より大きなデジタルトランスフォーメーション戦略の一環として、インダストリー4.0は生産の自動化、ネットワーク化、データ交換の向上を目指しています。この推進力は、欧州の産業をより高い効率と競合に移行させる上で、インダストリー4.0と予測アナリティクスが相互に有益な相互作用をもたらすことを強調しています。

アジア太平洋：

アジア太平洋地域は、急速なデジタルトランスフォーメーション、ビッグデータアナリティクスを推進する政府のイニシアティブ、中小企業（SMEs）の意識の高まりにより、推定・予測期間中、処方的分析市場において最も高いCAGRで成長すると予測されます。

この地域は現在、幅広いビジネスにおける急速なデジタルトランスフォーメーションに牽引され、大きな変革期を迎えています。この移行は、デジタル技術、自動化、独創的なデータ主導型ソリューションの広範な利用によって際立っています。この進化する市場では、企業がより良い意思決定のためにテクノロジーの力を活用できるようにする、処方的分析が重要な推進力として浮上しています。

さらに、アジア太平洋地域の中小企業（SME）は、処方的分析のメリットを認識しつつあります。この動向は、高度なアナリティクス・テクノロジーの民主化を意味し、あらゆる規模の企業が処方的分析のメリットを享受できるようになったという点で重要です。中小企業における認識と導入の増加は、業界全体における処方的分析の用途を多様化し、アジア太平洋の業界情勢におけるイノベーションと回復力を支援するのに役立ちます。

目次

第1章 世界の処方的分析市場：イントロダクション

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• 検証
• プライマリーインタビュー
• データソース一覧

第4章 処方的分析の世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 処方的分析の世界市場：コンポーネント別

• 概要
• ソフトウェア
• サービス
  • プロフェッショナルサービス
  • マネージドサービス

第6章 処方的分析の世界市場：データタイプ別

• 概要
• 半構造化
• 構造化
• 非構造化

第7章 処方的分析の世界市場：用途別

• 概要
• オペレーション管理
• 収益管理
• リスク管理
• ネットワーク管理
• 労働力管理
• サプライチェーンマネジメント
• その他

第8章 処方的分析の世界市場：ビジネスファンクション別

• 概要
• 財務
• 人事（HR）
• マーケティング
• オペレーション
• 営業部門

第9章 処方的分析の世界市場：展開形態別

• 概要
• オンベース
• オンプレミス

第10章 処方的分析の世界市場：業界別

• 概要
• 銀行、金融サービス、保険（BFSI）
• 小売、eコマース
• メディア＆エンターテインメント
• 製造業
• 旅行・ホスピタリティ
• エネルギー・公益事業
• 通信・IT
• 運輸・物流
• ヘルスケア＆ライフサイエンス
• 政府・防衛
• その他

第11章 処方的分析の世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第12章 世界の処方的分析市場：競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第13章 企業プロファイル

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

第14章 付録

• 関連調査

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.

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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.

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