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市場調查報告書
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1423713

到 2030 年決策智慧市場預測：按組件、部署型態、公司規模、應用程式、最終用戶和地區進行的全球分析

Decision Intelligence Market Forecasts to 2030 - Global Analysis By Component (Services, Solutions and Platform), Deployment Mode, Enterprise Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2023年全球決策智慧市場規模將達到120億美元，預計2030年將達到424億美元，預測期內複合年成長率為19.8%。

決策智慧 (DI) 市場是指一個快速成長的行業，它利用先進技術、資料分析和人工智慧來增強組織內的決策流程。包括各種旨在最佳化決策工作流程並為策略規劃、業務效率和風險管理提供可行見解的解決方案。決策智慧整合了機器學習演算法、預測分析和資料視覺化工具，幫助企業做出及時、明智的選擇。

根據 Gartner 預測，到 2025 年，創業投資(VC) 和早期投資者將在超過 75% 的高階主管評估中使用人工智慧 (AI) 和資料分析。根據 Gartner 最近的一項民意調查，80% 的高階主管認為自動化可用於制定所有類型的業務決策。隨著數位業務和自動化變得更加一體化，這項民意調查揭示了公司如何在自動化工作中利用人工智慧 (AI)。

商業環境日益複雜

在科技快速進步、全球化和複雜互聯的時代，組織正在應對多方面的挑戰。決策者面臨著來自不同來源的大量資料，這使得手動破解模式、預測趨勢和得出可行的見解變得越來越困難。決策智慧透過利用高階分析、人工智慧和機器學習從龐大的資料集集中提取有意義的資訊來解決這種複雜性。此外，它還使您能夠識別相關模式、發現機會並敏捷地應對複雜的決策環境。

缺乏熟練的專業人員

決策智慧領域需要獨特的專業知識融合，包括資料科學、人工智慧、機器學習和特定領域的知識。缺乏具有這些多學科技能的專業人員阻礙了組織內決策智慧工具的有效採用和利用。對熟練人才的需求往往超過供應，導致人才競爭加劇。然而，這種短缺不僅增加了實施所需的時間和資源，也增加了人事費用。

人工智慧 (AI) 和機器學習 (ML) 的進步

人工智慧和機器學習技術的進步為決策支援系統提供了前所未有的分析大量複雜資料集的能力。這些技術使演算法能夠隨著時間的推移進行學習、適應和改進，從而提高決策流程的準確性和效率。決策智慧利用這些功能，為組織提供預測性和指示性分析，以即時做出明智的選擇。此外，決策智慧與人工智慧/機器學習之間的協同效應不僅最佳化了業務效率，而且還開啟了從資料中提取有價值的見解的新可能性。

資料隱私問題

由於決策在很大程度上依賴普遍的資料分析，企業面臨確保遵守 GDPR 等嚴格資料保護條例的挑戰。整合決策智慧通常涉及收集和資料，從而引發對潛在違規和未授權存取的擔憂。在提取有意義的見解和保護個人隱私之間取得微妙的平衡變得至關重要。組織必須投資於強力的安全措施和透明的做法，以解決這些問題並建立相關人員的信任。

COVID-19 的影響：

疫情帶來的複雜性和不確定性增加，加強了對決策智慧所提供的先進分析和預測能力的需求。組織尋求最佳化營運、供應鏈和策略規劃，以因應快速變化的環境。但經濟的不確定性導致一些公司重新考慮預算，並將眼前的需求置於長期技術投資之上。然而，疫情也凸顯了決策演算法中道德考量和透明度的重要性。

預計解決方案產業將在預測期內成為最大的產業。

由於對促進資料主導決策的先進工具和技術的需求不斷增加，預計解決方案產業在預測期內將佔據最大佔有率。各行各業的組織都在積極尋求全面的決策智慧解決方案，以應對日益複雜的商業環境。這些解決方案包含預測分析、機器學習演算法和資料視覺化工具等各種功能，為決策者提供可行的見解。

預計雲細分市場在預測期內複合年成長率最高

雲端領域預計在預測期內將出現最高的複合年成長率，因為它為部署高階分析和決策支援解決方案提供可擴展且靈活的基礎架構。雲端基礎的決策智慧平台使組織能夠靈活地即時存取和處理大量資料，從而更快地制定決策。雲端服務的可擴展性使企業能夠根據需求擴展或收縮運算資源，從而最佳化成本。此外，雲端解決方案促進協作和可訪問性，使決策者能夠從任何地方獲取見解，從而促進更分散和敏捷的決策流程。

佔比最大的地區：

該地區先進的技術基礎設施，加上整個行業的高度數位化，為採用複雜的決策智慧解決方案創造了肥沃的土壤，使北美成為估計期間市場上最大的地區，預計將佔據很大的佔有率。北美企業，特別是金融、醫療保健和技術等行業的企業，越來越認知到資料主導的決策對於獲得競爭優勢至關重要。此外，主要市場參與者的存在和有利於創新的商業環境也有助於該地區在塑造決策智慧市場方面的主導地位。

複合年成長率最高的地區：

歐洲地區在預測期內正在快速成長。以一般資料保護規範 (GDPR) 等框架為代表的嚴格監管環境正在迫使企業採用先進的決策智慧解決方案來實現資料的合規性和道德處理。強調資料隱私和安全的法規是催化劑，促使公司投資先進的決策支援系統，以確保遵守這些標準。此外，隨著歐洲政府繼續收緊資料保護條例，公司將需要整合決策智慧工具，這些工具不僅可以提高業務效率，還可以展示決策流程的透明度和課責。

免費客製化服務

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章波特五力分析

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

第5章全球決策智慧市場：按組成部分

  • 服務
  • 解決方案
  • 平台

第6章全球決策智慧市場：依部署模式

  • 雲
  • 本地
  • 其他部署方式

第7章 全球決策智慧市場：依公司規模分類

  • 中小企業 (SME)
  • 主要企業

第8章全球決策智慧市場：依應用分類

  • 需求預測
  • 物流最佳化
  • 發現原因
  • 其他用途

第9章 全球決策智慧市場：依最終使用者分類

  • 資訊科技和電信
  • 能源和公共
  • 衛生保健
  • 政府
  • 零售和消費品
  • 其他最終用戶

第10章全球決策智慧市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

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

第12章 公司簡介

  • International Business Machines Incorporation
  • Oracle
  • Intel Corporation
  • Pyramid Analytics Bv
  • Google LLC
  • Pace Revenue
  • Microsoft
  • Provenir
  • Diwo.ai
  • Metaphacts GmbH
  • Paretos
Product Code: SMRC24947

According to Stratistics MRC, the Global Decision Intelligence Market is accounted for $12.0 billion in 2023 and is expected to reach $42.4 billion by 2030 growing at a CAGR of 19.8% during the forecast period. Decision Intelligence (DI) Market refers to the burgeoning industry that leverages advanced technologies, data analytics, and artificial intelligence to enhance decision-making processes within organizations. It encompasses a range of solutions designed to optimize decision workflows, providing actionable insights for strategic planning, operational efficiency, and risk management. Decision Intelligence integrates machine learning algorithms, predictive analytics, and data visualization tools to empower businesses in making informed and timely choices.

According to Gartner, Inc., artificial intelligence (AI) and data analytics will be used to inform more than 75% of venture capital (VC) and early-stage investor executive assessments by 2025. According to a recent Gartner, Inc. poll, 80% of executives believe automation can be used in every kind of business decision. As digital business becomes more integrated with automation, the poll uncovered how companies are adapting their usage of artificial intelligence (AI) in automation initiatives.

Market Dynamics:

Driver:

Increasing complexity of business environments

In an era marked by rapid technological advancements, globalization, and intricate interconnections, organizations grapple with multifaceted challenges. Decision-makers face a deluge of data from diverse sources, making it increasingly challenging to decipher patterns, anticipate trends, and derive actionable insights manually. Decision Intelligence addresses this complexity by leveraging advanced analytics, artificial intelligence, and machine learning to distill meaningful information from vast datasets. Moreover, it enables businesses to discern relevant patterns, identify opportunities, and navigate intricate decision landscapes with agility.

Restraint:

Lack of skilled professionals

The field of Decision Intelligence requires a unique blend of expertise in data science, artificial intelligence, machine learning, and domain-specific knowledge. The scarcity of professionals possessing this interdisciplinary skill set hampers the effective implementation and utilization of Decision Intelligence tools within organizations. The demand for skilled talent often outstrips the available supply, resulting in increased competition for qualified individuals. However, this shortage not only extends the time and resources required for implementation but also leads to higher labor costs.

Opportunity:

Advancements in artificial intelligence (AI) and machine learning (ML)

Advancements in AI and ML technologies empower decision support systems with unprecedented capabilities to analyze vast and complex datasets. These technologies enable algorithms to learn, adapt, and improve over time, enhancing the accuracy and efficiency of decision-making processes. Decision Intelligence leverages these capabilities to provide organizations with predictive and prescriptive analytics, enabling them to make informed choices in real-time. Additionally, the synergy between Decision Intelligence and AI/ML not only optimizes operational efficiency but also unlocks new possibilities for uncovering valuable insights from data.

Threat:

Data privacy concerns

With decision-making heavily reliant on extensive data analysis, organizations face the challenge of ensuring compliance with stringent data protection regulations, such as GDPR. The integration of Decision Intelligence often involves the collection and processing of vast amounts of personal and business data, raising apprehensions about potential breaches and unauthorized access. Striking a delicate balance between extracting meaningful insights and safeguarding individual privacy becomes crucial. Organizations must invest in robust security measures and transparent practices to allay these concerns and build trust among stakeholders.

Covid-19 Impact:

The increased complexity and uncertainty brought about by the pandemic amplified the demand for advanced analytics and predictive capabilities offered by Decision Intelligence. Organizations sought to optimize their operations, supply chains, and strategic planning in response to rapidly changing circumstances. However, economic uncertainties led some businesses to reevaluate budgets and prioritize immediate needs over long-term technology investments. However, the pandemic also highlighted the importance of ethical considerations and transparency in decision-making algorithms.

The solutions segment is expected to be the largest during the forecast period

Due to the escalating demand for advanced tools and technologies that facilitate data-driven decision-making, Solutions segment is expected to hold the largest share during the forecast period. Organizations across diverse sectors are actively seeking comprehensive Decision Intelligence Solutions to navigate the increasing complexity of business landscapes. These solutions encompass a spectrum of capabilities, including predictive analytics, machine learning algorithms, and data visualization tools, empowering decision-makers with actionable insights.

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

Cloud segment is expected to have the highest CAGR during the forecast period as it offers scalable and flexible infrastructure for deploying advanced analytics and decision support solutions. Cloud-based Decision Intelligence platforms provide organizations with the agility to access and process large volumes of data in real-time, enabling faster decision-making. The scalability of cloud services allows businesses to expand or contract their computing resources based on demand, optimizing costs. Moreover, cloud solutions facilitate collaboration and accessibility, allowing decision-makers to access insights from anywhere, fostering a more distributed and agile decision-making process.

Region with largest share:

Due to the region's advanced technological infrastructure, coupled with a high level of digitalization across industries, creates a fertile ground for the adoption of sophisticated decision intelligence solutions, North American region is expected to hold the largest share of the market over the extrapolated period. North American enterprises, particularly in sectors like finance, healthcare, and technology, are increasingly recognizing the imperative of data-driven decision-making to gain a competitive edge. Additionally, the well-established presence of key market players and a conducive business environment for innovation contribute to the region's dominance in shaping the Decision Intelligence Market.

Region with highest CAGR:

Europe region is growing at a rapid pace over the projection period. The stringent regulatory landscape, exemplified by frameworks like the General Data Protection Regulation (GDPR), compels businesses to adopt advanced decision intelligence solutions for compliant and ethical handling of data. The regulatory emphasis on data privacy and security acts as a catalyst, prompting organizations to invest in sophisticated decision support systems that ensure adherence to these standards. Furthermore, as European governments continue to strengthen data protection regulations, businesses are compelled to integrate decision intelligence tools that not only enhance operational efficiency but also demonstrate transparency and accountability in decision-making processes.

Key players in the market

Some of the key players in Decision Intelligence market include International Business Machines Incorporation, Oracle, Intel Corporation, Pyramid Analytics Bv, Google LLC, Pace Revenue, Microsoft, Provenir, Diwo.ai, Metaphacts GmbH and Paretos.

Key Developments:

In June 2022, IBM acquired Databand.ai. Through the acquisition, Databand.ai will be able to increase the scope of its observability capabilities enabling deeper connections with more open source and for-profit products that drive the modern data stack, with the additional resources made available by this purchase. Additionally, businesses will have complete control over how Databand.ai is used, whether as a software-as-a-service (SaaS) or a selfhosted subscription.

In April 2022, Sopra Steria and IBM launched the Sopra Steria Alive Intelligence (SSAI) offering. The IBM Watson Assistant, a customizable virtual agent for all fields, powers the Sopra Steria Alive Intelligence (SSAI) solution. This data is utilized to enhance decisionmaking and create new services that are tailored to the needs of consumers and users.

In March 2022, Provenir with Francisco Franch declared to assist the rising number of financial services businesses looking for AI-powered risk decisioning tools. Franch will oversee managing Spain's sales operations, company growth, and marketing plans.

Components Covered:

  • Services
  • Solutions
  • Platform

Deployment Modes Covered:

  • Cloud
  • On-premise
  • Other Deployment Modes

Enterprise Sizes Covered:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprise

Applications Covered:

  • Demand Forecasting
  • Logistics Optimization
  • Discovering Cause
  • Other Applications

End Users Covered:

  • IT and Telecom
  • Energy and Utilities
  • Healthcare
  • Government
  • Retail and Consumer Goods
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Decision Intelligence Market, By Component

  • 5.1 Introduction
  • 5.2 Services
  • 5.3 Solutions
  • 5.4 Platform

6 Global Decision Intelligence Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premise
  • 6.4 Other Deployment Modes

7 Global Decision Intelligence Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small and Medium-sized Enterprises (SMEs)
  • 7.3 Large Enterprise

8 Global Decision Intelligence Market, By Application

  • 8.1 Introduction
  • 8.2 Demand Forecasting
  • 8.3 Logistics Optimization
  • 8.4 Discovering Cause
  • 8.5 Other Applications

9 Global Decision Intelligence Market, By End User

  • 9.1 Introduction
  • 9.2 IT and Telecom
  • 9.3 Energy and Utilities
  • 9.4 Healthcare
  • 9.5 Government
  • 9.6 Retail and Consumer Goods
  • 9.7 Other End Users

10 Global Decision Intelligence Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 International Business Machines Incorporation
  • 12.2 Oracle
  • 12.3 Intel Corporation
  • 12.4 Pyramid Analytics Bv
  • 12.5 Google LLC
  • 12.6 Pace Revenue
  • 12.7 Microsoft
  • 12.8 Provenir
  • 12.9 Diwo.ai
  • 12.10 Metaphacts GmbH
  • 12.11 Paretos

List of Tables

  • Table 1 Global Decision Intelligence Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 5 Global Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 6 Global Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 7 Global Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 8 Global Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 9 Global Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 10 Global Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 11 Global Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 12 Global Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 13 Global Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 14 Global Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 15 Global Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 16 Global Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 17 Global Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 18 Global Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 19 Global Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 20 Global Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 21 Global Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 22 Global Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 23 Global Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 24 Global Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 25 North America Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 26 North America Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 27 North America Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 28 North America Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 29 North America Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 30 North America Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 31 North America Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 32 North America Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 33 North America Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 34 North America Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 35 North America Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 36 North America Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 37 North America Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 38 North America Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 39 North America Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 40 North America Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 41 North America Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 42 North America Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 43 North America Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 44 North America Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 45 North America Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 46 North America Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 47 North America Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 48 North America Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 49 Europe Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 50 Europe Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 51 Europe Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 52 Europe Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 53 Europe Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 54 Europe Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 55 Europe Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 56 Europe Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 57 Europe Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 58 Europe Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 59 Europe Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 60 Europe Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 61 Europe Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 62 Europe Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 63 Europe Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 64 Europe Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 65 Europe Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 66 Europe Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 67 Europe Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 68 Europe Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 69 Europe Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 70 Europe Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 71 Europe Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 72 Europe Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 73 Asia Pacific Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 74 Asia Pacific Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 75 Asia Pacific Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 76 Asia Pacific Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 77 Asia Pacific Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 78 Asia Pacific Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 79 Asia Pacific Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 80 Asia Pacific Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 81 Asia Pacific Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 82 Asia Pacific Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 83 Asia Pacific Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 84 Asia Pacific Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 85 Asia Pacific Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 86 Asia Pacific Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 87 Asia Pacific Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 88 Asia Pacific Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 89 Asia Pacific Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 90 Asia Pacific Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 91 Asia Pacific Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 92 Asia Pacific Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 93 Asia Pacific Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 94 Asia Pacific Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 95 Asia Pacific Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 96 Asia Pacific Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 97 South America Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 98 South America Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 99 South America Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 100 South America Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 101 South America Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 102 South America Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 103 South America Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 104 South America Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 105 South America Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 106 South America Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 107 South America Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 108 South America Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 109 South America Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 110 South America Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 111 South America Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 112 South America Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 113 South America Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 114 South America Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 115 South America Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 116 South America Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 117 South America Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 118 South America Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 119 South America Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 120 South America Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 121 Middle East & Africa Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 122 Middle East & Africa Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 123 Middle East & Africa Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 124 Middle East & Africa Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 125 Middle East & Africa Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 126 Middle East & Africa Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 127 Middle East & Africa Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 128 Middle East & Africa Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 129 Middle East & Africa Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 130 Middle East & Africa Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 131 Middle East & Africa Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 132 Middle East & Africa Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 133 Middle East & Africa Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 134 Middle East & Africa Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 135 Middle East & Africa Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 136 Middle East & Africa Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 137 Middle East & Africa Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 138 Middle East & Africa Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 139 Middle East & Africa Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 140 Middle East & Africa Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 141 Middle East & Africa Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 142 Middle East & Africa Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 143 Middle East & Africa Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 144 Middle East & Africa Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)