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市場調查報告書
商品編碼
2088006

增強型決策支援市場預測至2034年－按解決方案類型、部署模式、企業規模、技術、最終用戶和地區分類的全球分析

Decision Support Augmentation Market Forecasts to 2034 - Global Analysis By Solution Type, Deployment Mode, Enterprise Size, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，到 2026 年，全球增強型決策支援市場規模將達到 42 億美元，預計在預測期內將以 11.5% 的複合年成長率成長，到 2034 年將達到 101 億美元。

決策支援增強是指利用先進的人工智慧和分析平台，透過整合複雜的資料流、產生預測性洞察並推薦適用於整個業務環境的最佳化行動方案，從而提升人類的決策能力。這些解決方案包括決策智慧平台、預測分析引擎、規範建模系統和知識管理框架，能夠將原始資料轉化為可執行的策略指南。決策支援增強技術整合了機器學習演算法、自然語言處理和即時資料視覺化，以減少認知偏差並加快決策速度。這些平台能夠幫助高階主管、業務經理和知識工作者最佳化數據驅動型決策。

人工智慧在企業中的應用

企業加速採用人工智慧 (AI) 和高階分析技術，正顯著推動對增強型決策支援解決方案的需求成長。各行各業的許多組織都意識到，競爭優勢越來越取決於數據驅動決策的速度和品質。物聯網感測器、企業軟體系統和外部資料來源的激增，正在產生大量訊息，而這些資訊僅靠人類認知能力無法處理。生成式人工智慧 (AI) 功能正在將決策支援從說明和預測性階段擴展到生成規範性和自主性建議。雲端基礎架構的擴充性使得在分散式組織環境中部署即時分析成為可能。

數據品質

數據品質、整合複雜性和管治不匹配等持續存在的挑戰是決策支援增強市場普及應用的主要障礙。企業資料環境通常包含分散在多個舊有系統中的分散化、不一致和不完整的資訊。業務部門之間的資料孤島阻礙了跨組織邊界的全面分析。缺乏標準化的資料字典和元資料框架降低了模型訓練的準確性。組織內部對數據驅動決策文化的抵制限制了技術應用的有效性。

生成式人工智慧的整合

生成式人工智慧的快速發展和企業級應用正在為「增強型決策支援市場」的轉型創造機會。大規模語言模型支援自然語言介面，使不具備技術專長的決策者也能輕鬆獲得複雜的分析結果。生成式人工智慧能夠整合來自文件、通訊和外部來源的非結構化訊息，並將其提煉成結構化的決策建議。這項技術支援情境模擬和反事實分析，從而增強策略規劃能力。企業軟體供應商正迅速將生成式人工智慧輔助工具整合到現有的決策支援平台中。

與開放原始碼人工智慧的競爭

強大的開放原始碼大規模語言模型和分析框架的出現，對專有決策支援擴展市場的產品和服務構成了競爭威脅。擁有足夠資料科學能力的組織可以利用開放原始碼工具，以更低的授權成本建立客製化的決策支援系統。雲端超大規模資料中心業者雲端服務供應商提供的嵌入式分析功能，直接與獨立的決策智慧平台競爭。基礎預測分析的商品化正在削弱中型解決方案供應商的差異化優勢。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了企業對數位轉型和企業分析的投資，因為各組織面臨前所未有的營運不確定性。遠端辦公模式的普及增加了對可從分散地點存取的雲端決策支援的需求。供應鏈中斷凸顯了預測分析和情境規劃能力的關鍵作用。即使在後疫情時代，各組織仍優先投資於決策支援基礎設施，以增強自身的韌性和適應力。

預計在預測期內，人工智慧驅動的分析解決方案細分市場將佔據最大的市場佔有率。

由於人工智慧驅動的分析解決方案具有廣泛的跨行業適用性、可衡量的投資回報率 (ROI) 以及底層機器學習能力的快速發展，預計在預測期內，該細分市場將佔據最大的市場佔有率。人工智慧驅動的分析正在推動企業當前的決策支出，這得益於其在客戶洞察、風險管理和營運最佳化等領域的成熟應用案例。基於雲端的人工智慧平台具有擴充性，能夠部署到不同規模和技術成熟度的組織。供應商生態系統提供預訓練模型和特定產業解決方案，加速價值實現。

在預測期內，基於雲端的細分市場預計將呈現最高的複合年成長率。

在預測期內，受企業加速從本地基礎設施遷移到可擴展雲端分析平台的推動，基於雲端的細分市場預計將呈現最高的成長率。採用雲端技術無需資本支出，同時也能提供彈性容量來應對波動的分析工作負載。軟體即服務 (SaaS) 交付模式永續提供功能更新和安全性增強，而無需客戶承擔維護負擔。將基於雲端的決策支援與廣泛的企業應用程式套件整合，可實現無縫的工作流程體驗。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其成熟的企業軟體市場、先進的雲端基礎設施以及在人工智慧（AI）研發領域的大量投資。美國在企業分析領域的應用方面主導，這主要得益於金融服務、醫療保健和科技業的巨額支出。加拿大也在積極採用商業智慧和決策支援解決方案。主要供應商的總部或研發中心均設在北美。該地區的創業投資生態系統也為新興的決策智慧新創公司提供了支持。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位轉型、不斷擴張的企業軟體市場以及政府主導的人工智慧（AI）舉措。中國正透過國家戰略計劃，大力投資發展其國內人工智慧和分析平台。印度的技術服務業正在推動銀行業和通訊業對決策支援解決方案的強勁需求。東南亞企業正在加速採用雲端運算並實現分析現代化。日本和韓國在製造業和科技業的分析應用方面處於領先地位。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球增強型決策支援市場：依解決方案類型分類

  • 決策智慧平台
  • 人工智慧驅動的分析解決方案
  • 預測性決策支援系統
  • 基於處方的分析解決方案
  • 知識管理平台
  • 業務規則管理系統
  • 認知運算解決方案

第6章：全球增強型決策支援市場：依部署模式分類

  • 現場
  • 基於雲端的
  • 混合實現

第7章：全球增強型決策支援市場：依公司規模分類

  • 大公司
  • 中型公司
  • 小規模企業

第8章：全球增強型決策支援市場：依技術分類

  • 人工智慧
  • 機器學習
  • 自然語言處理
  • 人工智慧世代
  • 巨量資料分析
  • 雲端運算
  • 知識圖譜

第9章：全球增強型決策支援市場：依最終用戶分類

  • BFSI
  • 衛生保健
  • 零售與電子商務
  • 製造業
  • 電訊
  • 政府
  • 能源公用事業

第10章 全球增強型決策支援市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Salesforce, Inc.
  • Google LLC
  • Amazon Web Services, Inc.
  • SAS Institute Inc.
  • TIBCO Software Inc.
  • FICO
  • Palantir Technologies Inc.
  • C3.ai, Inc.
  • Databricks, Inc.
  • Accenture plc
  • Capgemini SE
  • Deloitte Touche Tohmatsu Limited
Product Code: SMRC37920

According to Stratistics MRC, the Global Decision Support Augmentation Market is accounted for $4.2 billion in 2026 and is expected to reach $10.1 billion by 2034 growing at a CAGR of 11.5% during the forecast period. Decision support augmentation refers to advanced artificial intelligence and analytics platforms that enhance human decision-making capabilities by synthesizing complex data streams, generating predictive insights, and recommending optimized courses of action across enterprise operational contexts. These solutions encompass decision intelligence platforms, predictive analytics engines, prescriptive modeling systems, and knowledge management frameworks that transform raw data into actionable strategic guidance. Decision support augmentation technology integrates machine learning algorithms, natural language processing, and real-time data visualization to reduce cognitive bias and accelerate decision velocity. The platforms serve business leaders, operational managers, and knowledge workers seeking data-driven decision optimization.

Market Dynamics:

Driver:

Enterprise AI adoption

The accelerating enterprise adoption of artificial intelligence and advanced analytics is driving substantial demand for Decision Support Augmentation Market solutions. Organizations across industries recognize that competitive advantage increasingly depends on the speed and quality of data-driven decision-making. The proliferation of Internet of Things sensors, enterprise software systems, and external data sources creates information volumes that exceed unaided human cognitive processing capacity. Generative AI capabilities are extending decision support from descriptive and predictive to prescriptive and autonomous recommendation generation. Cloud infrastructure scalability enables real-time analytics deployment across distributed organizational contexts.

Restraint:

Data quality challenges

The persistent challenges of data quality, integration complexity, and governance inconsistency present significant implementation barriers for the Decision Support Augmentation Market. Enterprise data environments typically contain fragmented, inconsistent, and incomplete information across multiple legacy systems. Data silos between business units prevent comprehensive analytics that span organizational boundaries. The absence of standardized data dictionaries and metadata frameworks undermines model training accuracy. Organizational resistance to data-driven decision cultures limits technology adoption effectiveness.

Opportunity:

Generative AI integration

The rapid advancement and enterprise deployment of generative artificial intelligence presents transformative opportunities for the Decision Support Augmentation Market. Large language models enable natural language interfaces that democratize access to complex analytics for non-technical decision-makers. Generative AI can synthesize unstructured information from documents, communications, and external sources into structured decision recommendations. The technology supports scenario simulation and counterfactual analysis that enhances strategic planning capabilities. Enterprise software vendors are rapidly integrating generative AI copilots into existing decision support platforms.

Threat:

Open-source AI competition

The emergence of powerful open-source large language models and analytics frameworks poses a competitive threat to proprietary Decision Support Augmentation Market offerings. Organizations with substantial data science capabilities can leverage open-source tools to build custom decision support systems at lower licensing costs. Cloud hyperscalers offer embedded analytics capabilities that compete directly with standalone decision intelligence platforms. The commoditization of basic predictive analytics reduces differentiation for mid-tier solution providers.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation and enterprise analytics investment as organizations confronted unprecedented operational uncertainty. Remote work models increased demand for cloud-based decision support accessible from distributed locations. Supply chain disruptions demonstrated the critical importance of predictive analytics and scenario planning capabilities. Post-pandemic, organizations continue prioritizing decision support infrastructure investments that enhance organizational resilience and adaptive capacity.

The AI-powered analytics solutions segment is expected to be the largest during the forecast period

The AI-powered analytics solutions segment is expected to account for the largest market share during the forecast period, due to the broad applicability across industries, measurable return on investment, and rapid advancement of underlying machine learning capabilities. AI-powered analytics dominate current enterprise decision support spending with proven applications in customer intelligence, risk management, and operational optimization. The scalability of cloud-based AI platforms enables deployment across organizations of varying sizes and technical maturity. Vendor ecosystems provide pre-trained models and industry-specific solutions that accelerate time-to-value.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate, driven by the accelerating enterprise migration from on-premise infrastructure to scalable cloud analytics platforms. Cloud deployment eliminates capital expenditure requirements while enabling elastic capacity for variable analytics workloads. Software-as-a-service delivery models provide continuous feature updates and security enhancements without customer maintenance burden. The integration of cloud decision support with broader enterprise application suites creates seamless workflow experiences.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the mature enterprise software market, advanced cloud infrastructure, and substantial artificial intelligence research and development investment. The United States leads in enterprise analytics adoption with significant spending across financial services, healthcare, and technology sectors. Canada demonstrates strong adoption of business intelligence and decision support solutions. Major technology vendors maintain North American headquarters and innovation centers. The region's venture capital ecosystem supports emerging decision intelligence startups.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid digital transformation, expanding enterprise software markets, and government artificial intelligence initiative implementation. China invests heavily in domestic AI and analytics platform development through national strategic programs. India's technology services sector drives substantial demand for decision support solutions across banking and telecommunications. Southeast Asian enterprises accelerate cloud adoption and analytics modernization. Japan and South Korea lead in manufacturing and technology sector analytics deployment.

Key players in the market

Some of the key players in Decision Support Augmentation Market include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Salesforce, Inc., Google LLC, Amazon Web Services, Inc., SAS Institute Inc., TIBCO Software Inc., FICO, Palantir Technologies Inc., C3.ai, Inc., Databricks, Inc., Accenture plc, Capgemini SE and Deloitte Touche Tohmatsu Limited.

Key Developments:

In June 2026, Microsoft Corporation launched a next-generation decision intelligence copilot integrating generative AI with enterprise data fabrics, enabling real-time executive decision support, accelerated strategic planning, improved forecasting accuracy, and enhanced organizational agility across business operations.

In May 2026, IBM Corporation expanded its watsonx decision optimization platform to include automated scenario modeling and prescriptive recommendation generation, helping supply chain organizations improve operational efficiency, mitigate disruptions, optimize resources, and strengthen decision-making capabilities.

In April 2026, Palantir Technologies Inc. partnered with a major European defense ministry to deploy augmented decision support solutions for strategic planning and operational intelligence, enhancing situational awareness, mission readiness, risk assessment, and data-driven defense operations.

Solution Types Covered:

  • Decision Intelligence Platforms
  • AI-Powered Analytics Solutions
  • Predictive Decision Support Systems
  • Prescriptive Analytics Solutions
  • Knowledge Management Platforms
  • Business Rule Management Systems
  • Cognitive Computing Solutions

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based
  • Hybrid Deployment

Enterprise Sizes Covered:

  • Large Enterprises
  • Medium Enterprises
  • Small Enterprises

Technologies Covered:

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Generative AI
  • Big Data Analytics
  • Cloud Computing
  • Knowledge Graphs

End Users Covered:

  • BFSI
  • Healthcare
  • Retail and E-commerce
  • Manufacturing
  • Telecommunications
  • Government
  • Energy and Utilities

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Decision Support Augmentation Market, By Solution Type

  • 5.1 Decision Intelligence Platforms
  • 5.2 AI-Powered Analytics Solutions
  • 5.3 Predictive Decision Support Systems
  • 5.4 Prescriptive Analytics Solutions
  • 5.5 Knowledge Management Platforms
  • 5.6 Business Rule Management Systems
  • 5.7 Cognitive Computing Solutions

6 Global Decision Support Augmentation Market, By Deployment Mode

  • 6.1 On-Premise
  • 6.2 Cloud-Based
  • 6.3 Hybrid Deployment

7 Global Decision Support Augmentation Market, By Enterprise Size

  • 7.1 Large Enterprises
  • 7.2 Medium Enterprises
  • 7.3 Small Enterprises

8 Global Decision Support Augmentation Market, By Technology

  • 8.1 Artificial Intelligence
  • 8.2 Machine Learning
  • 8.3 Natural Language Processing
  • 8.4 Generative AI
  • 8.5 Big Data Analytics
  • 8.6 Cloud Computing
  • 8.7 Knowledge Graphs

9 Global Decision Support Augmentation Market, By End User

  • 9.1 BFSI
  • 9.2 Healthcare
  • 9.3 Retail and E-commerce
  • 9.4 Manufacturing
  • 9.5 Telecommunications
  • 9.6 Government
  • 9.7 Energy and Utilities

10 Global Decision Support Augmentation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 IBM Corporation
  • 13.2 Microsoft Corporation
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 Salesforce, Inc.
  • 13.6 Google LLC
  • 13.7 Amazon Web Services, Inc.
  • 13.8 SAS Institute Inc.
  • 13.9 TIBCO Software Inc.
  • 13.10 FICO
  • 13.11 Palantir Technologies Inc.
  • 13.12 C3.ai, Inc.
  • 13.13 Databricks, Inc.
  • 13.14 Accenture plc
  • 13.15 Capgemini SE
  • 13.16 Deloitte Touche Tohmatsu Limited

List of Tables

  • Table 1 Global Decision Support Augmentation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Decision Support Augmentation Market Outlook, By Solution Type (2023-2034) ($MN)
  • Table 3 Global Decision Support Augmentation Market Outlook, By Decision Intelligence Platforms (2023-2034) ($MN)
  • Table 4 Global Decision Support Augmentation Market Outlook, By AI-Powered Analytics Solutions (2023-2034) ($MN)
  • Table 5 Global Decision Support Augmentation Market Outlook, By Predictive Decision Support Systems (2023-2034) ($MN)
  • Table 6 Global Decision Support Augmentation Market Outlook, By Prescriptive Analytics Solutions (2023-2034) ($MN)
  • Table 7 Global Decision Support Augmentation Market Outlook, By Knowledge Management Platforms (2023-2034) ($MN)
  • Table 8 Global Decision Support Augmentation Market Outlook, By Business Rule Management Systems (2023-2034) ($MN)
  • Table 9 Global Decision Support Augmentation Market Outlook, By Cognitive Computing Solutions (2023-2034) ($MN)
  • Table 10 Global Decision Support Augmentation Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 11 Global Decision Support Augmentation Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 12 Global Decision Support Augmentation Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global Decision Support Augmentation Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 14 Global Decision Support Augmentation Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 15 Global Decision Support Augmentation Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 16 Global Decision Support Augmentation Market Outlook, By Medium Enterprises (2023-2034) ($MN)
  • Table 17 Global Decision Support Augmentation Market Outlook, By Small Enterprises (2023-2034) ($MN)
  • Table 18 Global Decision Support Augmentation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 19 Global Decision Support Augmentation Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 20 Global Decision Support Augmentation Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 21 Global Decision Support Augmentation Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 22 Global Decision Support Augmentation Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 23 Global Decision Support Augmentation Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 24 Global Decision Support Augmentation Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 25 Global Decision Support Augmentation Market Outlook, By Knowledge Graphs (2023-2034) ($MN)
  • Table 26 Global Decision Support Augmentation Market Outlook, By End User (2023-2034) ($MN)
  • Table 27 Global Decision Support Augmentation Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 28 Global Decision Support Augmentation Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 29 Global Decision Support Augmentation Market Outlook, By Retail and E-commerce (2023-2034) ($MN)
  • Table 30 Global Decision Support Augmentation Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 31 Global Decision Support Augmentation Market Outlook, By Telecommunications (2023-2034) ($MN)
  • Table 32 Global Decision Support Augmentation Market Outlook, By Government (2023-2034) ($MN)
  • Table 33 Global Decision Support Augmentation Market Outlook, By Energy and Utilities (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.