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2009078

進階分析市場規模、佔有率、趨勢和預測：按組件、類型、部署模式、業務功能、企業規模、行業和地區分類，2026-2034 年

Advanced Analytics Market Size, Share, Trends and Forecast by Component, Type, Deployment Mode, Business Function, Enterprise Size, Industry Vertical, and Region, 2026-2034
出版日期: | 出版商: IMARC | 英文 144 Pages | 商品交期: 2-3個工作天內

價格

2025年全球高階分析市場規模為315.7億美元。展望未來，IMARC Group預測，該市場將在2026年至2034年間以16.58%的複合年成長率成長，到2034年達到1543.6億美元。目前，北美市場主導地位，預計2025年將佔據38.8%的市場。該地區的領先地位得益於各行業的廣泛數位轉型、強大的AI和雲端運算基礎設施、企業對數據驅動決策工具的高採用率，以及政府和私營部門對技術創新的持續投資，所有這些因素都推動了其在高階分析市場佔有率的成長。

全球高階分析市場的發展受到關鍵技術和經濟趨勢的共同驅動，這些趨勢正在改變企業利用數據的方式。人工智慧 (AI) 和機器學習的廣泛應用，使得企業能夠以前所未有的速度和規模從龐大而複雜的資料集中提取有意義的洞察。全球各地的企業都在積極推行數位轉型策略，透過將高階分析融入包括營運、財務和客戶體驗管理流程在內的各項業務中，以獲得競爭優勢。互聯設備、數位通路和物聯網生態系統產生的資料量快速成長，也推動了高階分析工具的需求。此外，雲端分析工具的出現，讓各種規模的企業都能輕鬆取得企業級工具。銀行、金融和保險 (BFSI)、醫療保健、零售和製造業等行業日益重視數據驅動的決策，這促進了高級分析市場的成長，而對即時分析和預測建模的投資增加，則進一步加速了這一成長。

由於多種原因，美國正崛起為高階分析的關鍵市場。美國擁有強大的數位基礎設施和技術供應商，以及企業對人工智慧工具的高度接受度。包括銀行、金融服務和保險 (BFSI)、醫療保健、國防和零售等在內的各行各業的公司都在採用預測性和處方分析工具來改善營運成果和客戶體驗。政府機構和企業都在致力於提升自身的分析能力。特別是，2026 年 1 月發布的《2025 年 ISG 供應商視角：進階分析與人工智慧服務》報告顯示，美國大型企業現在將分析和人工智慧整合到其業務流程中，而非將其視為獨立實體。擁有約 2000 個系統軟體組合的公司認知到，資料整合和管治是其競爭優勢的關鍵要素。

高階分析市場的發展趨勢：

人工智慧與機器學習的融合正在不斷推進。

隨著人工智慧 (AI) 和機器學習 (ML) 與高階分析平台的融合，企業從資料中提取價值的方式正在發生翻天覆地的變化。企業擴大利用基於 AI 的預測模型來自動化複雜的決策過程，從而最大限度地減少人工分析工作，同時提高信用風險分析和需求預測等各項功能的預測準確性。機器學習演算法能夠基於新的資料集進行持續學習，使模型能夠適應不斷變化的環境因素，並隨著時間的推移不斷提高預測準確性。這種整合在銀行、醫療保健和零售等資料量龐大的行業中尤其明顯，這些行業需要的是智慧自動化，而非傳統的基於規則的處理方式。 AI 與進階分析的融合催生了異常偵測、即時詐欺預防、客戶流失預測和動態定價最佳化等新的應用情境。今天，企業級 AI 平台 DataRobot 宣布推出全新的 AI 可觀測性功能，可為生成式 AI 解決方案提供即時介入。從 2024 年開始，這項功能將在所有環境中可用，包括雲端、本地部署和混合環境。此次更新為人工智慧領導者和團隊提供了有效建立企業級應用程式、降低風險和實現業務成果所需的工具。

雲端分析平台的普及

這種基於雲端的分析方式的轉變，正幫助企業應對大規模數據，同時充分利用可擴展性、成本降低和遠距辦公的優勢。雲端系統使企業能夠大幅降低初始基礎設施成本，並為中小型企業提供進階分析功能。它們還支援即時資料擷取、並行處理以及與第三方應用程式的整合，從而促進端到端分析解決方案的創建。對於電子商務、媒體和物流等資料處理高度可變的動態產業而言，雲端系統提供的柔軟性是一項重大優勢。如今，雲端系統整合了先進的人工智慧和自動化功能，幫助企業交付更高品質的成果，並使解決方案更容易非技術用戶使用。高階分析市場的光明前景與雲端服務的加速普及密切相關，越來越多的組織正在將傳統的分析工作負載遷移到雲端環境。 2025 年， Oracle為 Oracle Fusion Data Intelligence 推出了全新的人工智慧驅動功能，旨在協助客戶快速輕鬆地最大化其企業資料的價值。此更新為 Oracle Fusion Cloud 應用程式提供了強大的新分析內容和功能，包括 Oracle Analytics Cloud AI Assistant、Oracle Fusion Cloud 企業資源規劃 (ERP)、Oracle Fusion Cloud 人力資本管理 (HCM)、Oracle Fusion Cloud 企業績效管理 (EPM) 和 Oracle Fusion Cloud 客戶體驗 (CX)。

即時數據分析的需求日益成長

在各行各業的組織中，即時分析能力正變得日益重要，它能夠從即時資料流中即時提取洞察，從而實現更快、更準確的決策。金融服務、電子商務、醫​​療保健和電信等行業對即時處理的需求尤其旺盛，因為毫秒級的回應速度直接影響收入、客戶滿意度和營運效率。即時詐欺偵測、動態庫存管理、個人化客戶參與和即時供應鏈監控是其中一些最具代表性的應用案例。串流資料技術、邊緣運算和記憶體內處理架構的進步，使得即時分析變得越來越便捷且經濟高效。觀察高階分析市場的最新趨勢，可以明顯看出，企業正在優先考慮將傳統批次與即時串流處理相結合的整合資料平台，以實現全面、情境感知的分析。 2025年，人工智慧資料雲公司Snowflake（NYSE：SNOW）宣布，Snowflake Intelligence將正式開放給全球超過12,000家企業基本客群。 Snowflake Intelligence 是一款組織智慧工具，它讓每位員工都能以自然語言處理複雜的查詢，並輕鬆提供見解。

目錄

第1章：序言

第2章：調查方法

  • 調查目的
  • 相關利益者
  • 數據來源
    • 主要訊息
    • 次要訊息
  • 市場估值
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章執行摘要

第4章：引言

第5章：全球高階分析市場

  • 市場概覽
  • 市場表現
  • 新冠疫情的影響
  • 市場預測

第6章 市場區隔：依組件分類

  • 軟體
  • 服務
    • 主要部分
      • 專業服務
      • 託管服務

第7章 市場區隔：依類型

  • 巨量資料分析
  • 商業分析
  • 客戶分析
  • 統計分析
  • 風險分析
  • 其他

第8章 市場區隔：依部署模式

  • 現場
  • 基於雲端的

第9章 市場區隔：依業務職能分類

  • 供應鏈
  • 銷售與行銷
  • 金融
  • 人力資源（HR）
  • 其他

第10章 市場區隔：依公司規模分類

  • 大公司
  • 小型企業

第11章 市場區隔：依產業分類

  • BFSI
  • 衛生保健
  • 政府
  • 資訊科技/通訊
  • 軍事/國防
  • 其他

第12章 市場區隔：依地區分類

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲

第13章：促進、抑制與機遇

第14章：價值鏈分析

第15章：波特五力分析

第16章：價格分析

第17章 競爭格局

  • 市場結構
  • 主要企業
  • 主要企業簡介
    • Absolutdata Technologies Inc.（Infogain Corporation）
    • Adobe Inc.
    • Altair Engineering Inc.
    • Alteryx Inc.
    • Amazon Web Services Inc.（Amazon.com Inc.）
    • Fair Isaac Corporation（FICO）
    • Hewlett Packard Enterprise Company
    • International Business Machines Corporation
    • Microsoft Corporation
    • Moody's Analytics Inc.（Moody's Corporation）
    • SAS Institute Inc.
    • TIBCO Software Inc.
Product Code: SR112026A6839

The global advanced analytics market size was valued at USD 31.57 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 154.36 Billion by 2034, exhibiting a CAGR of 16.58% from 2026-2034. North America currently dominates the market, holding a market share of 38.8% in 2025. The region's dominance is driven by widespread digital transformation across industries, robust AI and cloud computing infrastructure, high enterprise adoption of data-driven decision-making tools, and sustained government and private sector investments in technology innovation, all bolstering the advanced analytics market share.

The global market for advanced analytics is driven by a combination of significant technological and economic trends that are changing the way businesses utilize data. The widespread adoption of artificial intelligence and machine learning has made it possible to derive meaningful information from large and complex data sets at an unprecedented rate and scale. Organizations around the globe are aggressively moving forward with their digital transformation strategies to stay ahead of the competition by incorporating advanced analytics into their businesses, including operational, financial, and experience management processes. The exponential growth rate of data generated by connected devices, digital channels, and internet of things ecosystems has also fueled the demand for sophisticated analytical tools. Additionally, the emergence of cloud-based analytical tools has made it easier for businesses of all sizes to utilize enterprise-grade tools. The increased focus on data-driven decision-making across industries such as BFSI, healthcare, retail, and manufacturing has contributed to the advanced analytics market growth, and increasing investments in real-time analytics and predictive modeling are further accelerating this growth rate.

The United States has emerged as a significant market for the advanced analytics market due to a variety of reasons. The digital infrastructure and technological providers' presence are high in the country, and enterprises' readiness for AI tools is high. Enterprises across industries such as BFSI, healthcare, defense, and retail are implementing predictive and prescriptive analytics tools to enhance their operational and customer experience results. Government agencies and enterprises are focusing on developing analytics capabilities. Notably, a report published by the 2025 ISG Provider Lens Advanced Analytics and AI Services report announced in January 2026 found that large enterprises across the country are now incorporating analytics and AI as an integral part of their operational processes and not as a separate entity. Enterprises with a software portfolio of almost 2,000 systems are recognizing data integration and governance as a key component of competitiveness.

ADVANCED ANALYTICS MARKET TRENDS:

Rising Integration of AI and Machine Learning (ML)

The increasing convergence of artificial intelligence and machine learning with advanced analytics platforms is significantly changing the manner in which value is obtained from data within organizations. Organizations are increasingly leveraging AI-based predictive models for automating complex decisions, which minimize manual analysis activities while enhancing the accuracy of predictions for different business operations, including credit risk analysis and demand planning. Machine learning algorithms facilitate continuous learning based on new data sets, which allows the models to improve their predictions over time while adapting to changing environmental factors. This convergence is mostly evident within industries such as banking, healthcare, and retail, where the volume of data necessitates intelligent automation rather than traditional rule-based processing. The convergence of AI and advanced analytics is allowing for new use cases such as anomaly detection, real-time fraud prevention, customer churn prediction, and dynamic pricing optimization. DataRobot, the enterprise AI platform, today announced new AI observability features with real-time intervention for generative AI solutions, available across all environments, including cloud, on-premise, and hybrid, in 2024. This new update provides AI leaders and teams with the tools necessary to effectively create enterprise-class applications, mitigate risks, and deliver business outcomes.

Proliferation of Cloud-Based Analytics Platforms

This shift in cloud-based analytics is helping companies deal with large data sizes while taking advantage of scalability, cost savings, and remote working capabilities. Cloud-based systems are helping companies avoid large upfront infrastructure costs, making advanced analytics capabilities available to mid-sized and smaller companies. Cloud-based systems are helping companies handle real-time data ingestion, parallel processing, and integrating with third-party applications, allowing companies to build end-to-end analytics solutions easily. The flexibility offered by cloud-based systems has been a great advantage for companies in dynamic sectors such as e-commerce, media, and logistics, where data processing varies greatly. Cloud-based systems are now being equipped with advanced AI and automation capabilities, helping companies deliver better quality output and making the solution more accessible to non-technical users. The positive advanced analytics market forecast is closely tied to the accelerating pace of cloud adoption, with organizations increasingly migrating legacy analytical workloads to cloud environments. In 2025, Oracle introduced new AI-driven features for Oracle Fusion Data Intelligence that assist customers in swiftly and effortlessly maximizing the value of their enterprise data. The recent updates feature the Oracle Analytics Cloud AI Assistant, along with robust new analytical content and functionalities set for Oracle Fusion Cloud Applications, such as Oracle Fusion Cloud Enterprise Resource Planning (ERP), Oracle Fusion Cloud Human Capital Management (HCM), Oracle Fusion Cloud Enterprise Performance Management (EPM), and Oracle Fusion Cloud Customer Experience (CX).

Growing Demand for Real-Time Data Analytics

Organizations across industries are increasingly prioritizing real-time analytics capabilities to derive immediate insights from live data streams, enabling faster and more informed decision-making. The demand for real-time processing is especially acute in industries such as financial services, e-commerce, healthcare, and telecommunications, where millisecond-level responsiveness can directly impact revenue, customer satisfaction, and operational efficiency. Real-time fraud detection, dynamic inventory management, personalized customer engagement, and live supply chain monitoring are among the most prominent applications. Advances in streaming data technologies, edge computing, and in-memory processing architectures are making real-time analytics increasingly accessible and cost-effective. Monitoring the latest advanced analytics market trends reveals that enterprises are prioritizing unified data platforms that combine historical batch processing with real-time streaming to enable comprehensive, context-aware analytics. In 2025, Snowflake (NYSE: SNOW), the AI Data Cloud firm, declared that Snowflake Intelligence is now officially accessible to its worldwide customer base of over 12,000 entities. Snowflake Intelligence is an organizational intelligence tool that empowers each employee to address intricate inquiries in natural language and delivers insights conveniently.

ADVANCED ANALYTICS INDUSTRY SEGMENTATION:

Analysis by Component:

  • Software
  • Services
    • Professional Services
    • Managed Services

Software holds 68.7% of the market share. Advanced analytics software encompasses tools for predictive analytics, machine learning, data visualization, and data mining, which have become indispensable for businesses aiming to remain competitive in today's data-intensive environment. Its wide adoption across sectors such as finance, retail, healthcare, and manufacturing reflects its utility in enabling organizations to process complex datasets and generate actionable insights at scale. Software solutions offer significant advantages in terms of scalability and customization, allowing enterprises to tailor analytical capabilities to their specific business needs. The ability to integrate AI and machine learning directly into software platforms enables real-time insights and automated decision support, greatly enhancing operational efficiency. Continuous advancements in software design, including user-friendly interfaces and low-code environments, have expanded access to advanced analytics capabilities beyond specialist data science teams.

Analysis by Type:

  • Big Data Analytics
  • Business Analytics
  • Customer Analytics
  • Statistical Analytics
  • Risk Analytics
  • Others

Big data analytics leads the market with a share of 39.6%. The widespread adoption of Industrial Internet of Things technologies and AI-powered processing capabilities has made big data analytics essential for organizations seeking to uncover patterns and trends from enormous volumes of structured and unstructured data. Enterprises across retail, finance, healthcare, and manufacturing leverage big data analytics to improve operational efficiency, enhance customer targeting, and reduce risk exposure through more accurate predictive modeling. The segment benefits from continuous advances in distributed computing, cloud-native storage, and AI-assisted analysis, which collectively reduce the time and cost required to generate insights from petabyte-scale datasets. In healthcare, big data analytics is being deployed to accelerate drug discovery and improve patient outcome predictions, while in financial services it enables near-real-time fraud detection. Apart from this, big data analytics adoption surged in the healthcare sector globally, reflecting its critical role in reducing diagnostic errors and improving operational performance across medical institutions.

Analysis by Deployment Mode:

  • On-Premises
  • Cloud-Based

On-premises dominates the market, with a share of 54.1%. Industries such as banking, financial services, government, healthcare, and defense prioritize on-premises solutions due to heightened concerns over data security, regulatory compliance, and the need for extensive customization. Organizations deploying on-premises advanced analytics benefit from greater control over their data environments, localized security protocols, and the ability to align analytical workflows with proprietary legacy systems and operational processes. This level of control is particularly critical in sectors governed by strict data sovereignty and compliance frameworks. While the upfront costs associated with infrastructure setup and maintenance are higher compared to cloud alternatives, the long-term benefits of enhanced data ownership and reduced risk exposure often justify the investment. Moreover, a major percentage of leading manufacturing firms globally reported deploying real-time on-premises monitoring systems to reduce production downtime by up to 35%, underscoring the strategic value of localized analytics deployments in operationally intensive environments.

Analysis by Business Function:

  • Supply Chain
  • Sales and Marketing
  • Finance
  • Human Resource (HR)
  • Others

Supply chain represents the leading segment, with a market share of 24.8%. The increasing complexity of global supply chains and the urgent need for real-time visibility, demand forecasting accuracy, and operational efficiency are driving the widespread adoption of advanced analytics in this function. Organizations are leveraging supply chain analytics to optimize inventory management, reduce logistics costs, and proactively address potential disruptions through predictive modeling. The integration of AI-powered analytics enables businesses to analyze multi-tier supplier networks, monitor geopolitical risks, and dynamically adjust procurement strategies in response to shifting market conditions. Prescriptive analytics tools further empower supply chain leaders to automate high-stakes decisions related to sourcing, distribution, and route optimization.

Analysis by Enterprise Size:

  • Large Enterprises
  • Small and Medium-Sized Enterprises

Large enterprises dominate the market, with a share of 66.5%. These organizations possess vast amounts of data from diverse sources and have the resources to invest in sophisticated analytics platforms, dedicated data science teams, and AI-powered solutions that extract competitive intelligence. The complexity of operations within large enterprises demands advanced analytics capabilities to optimize multi-functional processes, enhance strategic decision-making, and maintain a competitive edge across global markets. Predictive and prescriptive analytics help these organizations forecast market trends, identify emerging opportunities, and make data-driven choices across departments including finance, supply chain, marketing, and human resources. Large enterprises are also at the forefront of integrating AI and machine learning into their analytics strategies, enabling deeper exploration of data to uncover patterns that drive strategic outcomes.

Analysis by Industry Vertical:

  • BFSI
  • Healthcare
  • Government
  • IT and Telecom
  • Military and Defense
  • Others

BFSI dominates the market, with a share of 27.9% due to its strong need for data-driven decision-making, risk management, and customer insights. Financial institutions generate massive volumes of transactional and behavioral data every day, making advanced analytics essential for extracting meaningful insights. Banks and insurance companies use analytics for fraud detection, credit risk assessment, regulatory compliance, and personalized financial services. Advanced analytics techniques such as predictive analytics, machine learning, and real-time data processing help BFSI organizations identify suspicious activities, reduce financial risks, and improve operational efficiency. Additionally, financial institutions leverage analytics to enhance customer experience, enabling targeted marketing, personalized product recommendations, and improved customer retention strategies. The rapid adoption of digital banking, mobile payments, and fintech solutions has further increased the need for advanced analytics to manage complex financial ecosystems. Regulatory requirements also encourage the use of data analytics for transparency and compliance. As a result, the BFSI sector continues to be the largest contributor to the growth of the advanced analytics market globally.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America, accounting for 38.8% of the share, enjoys the leading position in the market. The region benefits from a highly mature technological infrastructure, early adoption of AI and cloud platforms, and the presence of globally influential analytics vendors that continuously drive innovation. A major percentage of organizations in North America report utilizing advanced analytics in strategic decision-making, with the BFSI and healthcare sectors leading adoption rates. Significant government and enterprise investment in data analytics, AI research, and cybersecurity further strengthen the region's competitive position. Regulatory frameworks that promote data utilization and transparency, such as healthcare analytics mandates and financial compliance reporting requirements, also create steady institutional demand. The region's vibrant technology ecosystem, including a concentration of start-ups and established platform providers, fosters rapid iteration and deployment of new analytical capabilities. Apart from this, a significant percent of financial institutions in North America were leveraging advanced data analytics for fraud detection and customer insights, underscoring the depth of market penetration.

KEY REGIONAL TAKEAWAYS:

UNITED STATES ADVANCED ANALYTICS MARKET ANALYSIS

The United States holds 90% of the market share in North America. The country leads global innovation in advanced analytics, underpinned by a concentration of world-class technology companies, leading research universities, and a deeply data-literate enterprise workforce. The BFSI sector drives particularly strong demand, with major financial institutions deploying AI-powered analytics for real-time fraud detection, credit risk modeling, and personalized wealth management. Healthcare organizations are leveraging advanced analytics to reduce diagnostic errors, optimize clinical workflows, and accelerate drug discovery through large-scale genomic data analysis. The defense sector represents another key growth driver, with federal agencies integrating data analytics and AI for national security applications. The e-commerce industry generates massive consumer datasets that fuel demand for customer analytics and dynamic pricing models. Digital transformation initiatives across the public and private sectors continue to stimulate investment in analytics infrastructure. In 2026, EXL, an international data and AI firm, has unveiled AI in Action 2026, its premier global virtual event aimed at assisting businesses in advancing past trial phases and expanding AI to generate tangible business benefits. The event is scheduled to occur in various regions on March 11 (Americas), March 18 (EMEA), and March 24 (APAC).

EUROPE ADVANCED ANALYTICS MARKET ANALYSIS

Europe represents a significant and steadily expanding market for advanced analytics, driven by increasing regulatory requirements, broad digital transformation agendas, and strong demand for data-driven insights across the BFSI, manufacturing, healthcare, and public sectors. The implementation of stringent data governance frameworks such as GDPR has paradoxically accelerated investment in sophisticated analytics platforms, as organizations require robust tools to manage, process, and derive value from data in a compliant manner. Germany, the United Kingdom, France, and the Netherlands are among the most active adopters, with financial institutions deploying predictive analytics for credit scoring and fraud prevention, and manufacturers integrating analytics into production and supply chain operations. The European Commission's digital strategy initiatives and Horizon Europe research funding are supporting the development and adoption of AI-powered analytics across member states.

ASIA-PACIFIC ADVANCED ANALYTICS MARKET ANALYSIS

Asia-Pacific represents the fastest-growing regional market for advanced analytics, driven by swift industrialization, expanding e-commerce ecosystems, and large-scale digital transformation efforts in China, India, Japan, South Korea, and Southeast Asian economies. Government initiatives such as China's Made in China 2025 program and India's National Data Governance Framework are creating a policy environment favorable to advanced analytics adoption across manufacturing, financial services, and public administration. The region's rapidly expanding middle class and growing digital consumer base generate substantial data volumes that demand sophisticated analytical processing capabilities. In 2025, Rakuten Group, Inc. has announced its newest AI model, Rakuten AI 3.0, a Japanese large language model (LLM) created as a component of the Generative AI Accelerator Challenge (GENIAC) initiative backed by the Ministry of Economy, Trade and Industry (METI) and the New Energy and Industrial Technology Development Organization (NEDO).

LATIN AMERICA ADVANCED ANALYTICS MARKET ANALYSIS

Latin America is an emerging market for advanced analytics, with Brazil and Mexico serving as the primary growth engines. The region's expanding financial services sector, growing digital commerce ecosystem, and increasing adoption of cloud technologies are stimulating demand for analytics solutions. Government digitalization programs and fintech proliferation are creating new data streams that require sophisticated analytical processing. The agriculture, retail, and telecommunications sectors are increasingly leveraging predictive analytics to optimize operations and enhance customer engagement. In 2025, enhanced adoption of AI-driven analytics tools in Brazil's financial sector helped reduce fraud incident rates among early-adopting institutions, illustrating the tangible operational benefits that advanced analytics delivers in the region's rapidly digitalizing economy.

MIDDLE EAST AND AFRICA ADVANCED ANALYTICS MARKET ANALYSIS

The Middle East and Africa region is witnessing accelerating adoption of advanced analytics, supported by ambitious smart city projects, oil and gas sector digital transformation, and government-led data economy initiatives in the GCC states. Saudi Arabia's Vision 2030 and the UAE's national AI strategy are creating a strong demand for data analytics capabilities across government, healthcare, and infrastructure sectors. Moreover, Kenya and South Africa demonstrated notable fintech-driven analytics growth, with mobile banking platforms deploying machine learning models to assess credit risk for previously unbanked populations. The region's growing telecommunications infrastructure and expanding internet connectivity are generating new data volumes that present opportunities for analytics vendors. Rising investment from sovereign wealth funds in digital infrastructure further supports long-term analytics market development across the region.

COMPETITIVE LANDSCAPE:

The global advanced analytics market is characterized by intense competition among a diverse mix of established technology conglomerates, specialized analytics providers, and innovative start-ups. Leading incumbents are pursuing aggressive product development strategies, embedding generative AI, AutoML, and natural language processing capabilities into their platforms to enhance usability and expand addressable markets. Strategic acquisitions are a prominent feature of the competitive landscape, with major players absorbing niche analytics vendors to rapidly expand their capabilities and customer bases. Cloud providers are also intensifying competition by bundling advanced analytics services with their broader infrastructure offerings, lowering deployment costs and accelerating enterprise adoption. Partnerships between analytics vendors, system integrators, and industry-specific solution providers are enabling more targeted go-to-market strategies, particularly in regulated verticals such as BFSI and healthcare. The increasing focus on explainable AI, responsible analytics, and regulatory compliance is reshaping product roadmaps across the competitive landscape.

The report provides a comprehensive analysis of the competitive landscape in the advanced analytics market with detailed profiles of all major companies, including:

  • Absolutdata Technologies Inc. (Infogain Corporation)
  • Adobe Inc.
  • Altair Engineering Inc.
  • Alteryx Inc.
  • Amazon Web Services Inc. (Amazon.com Inc.)
  • Fair Isaac Corporation (FICO)
  • Hewlett Packard Enterprise Company
  • International Business Machines Corporation
  • Microsoft Corporation
  • Moody's Analytics Inc. (Moody's Corporation)
  • SAS Institute Inc.
  • TIBCO Software Inc.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. How big is the advanced analytics market?

2. What is the future outlook of the advanced analytics market?

3. What are the key factors driving the advanced analytics market?

4. Which region accounts for the largest advanced analytics market share?

5. Which are the leading companies in the global advanced analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Advanced Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Service
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Professional Service
      • 6.2.2.2 Managed Service
    • 6.2.3 Market Forecast

7 Market Breakup by Type

  • 7.1 Big Data Analytics
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Business Analytics
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Customer Analytics
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Statistical Analytics
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Risk Analytics
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Business Function

  • 9.1 Supply Chain
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Sales and Marketing
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Finance
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Human Resource (HR)
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Others
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by Enterprise Size

  • 10.1 Large Enterprises
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Small and Medium-sized Enterprises
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast

11 Market Breakup by Industry Vertical

  • 11.1 BFSI
    • 11.1.1 Market Trends
    • 11.1.2 Market Forecast
  • 11.2 Healthcare
    • 11.2.1 Market Trends
    • 11.2.2 Market Forecast
  • 11.3 Government
    • 11.3.1 Market Trends
    • 11.3.2 Market Forecast
  • 11.4 IT and Telecom
    • 11.4.1 Market Trends
    • 11.4.2 Market Forecast
  • 11.5 Military and Defense
    • 11.5.1 Market Trends
    • 11.5.2 Market Forecast
  • 11.6 Others
    • 11.6.1 Market Trends
    • 11.6.2 Market Forecast

12 Market Breakup by Region

  • 12.1 North America
    • 12.1.1 United States
      • 12.1.1.1 Market Trends
      • 12.1.1.2 Market Forecast
    • 12.1.2 Canada
      • 12.1.2.1 Market Trends
      • 12.1.2.2 Market Forecast
  • 12.2 Asia-Pacific
    • 12.2.1 China
      • 12.2.1.1 Market Trends
      • 12.2.1.2 Market Forecast
    • 12.2.2 Japan
      • 12.2.2.1 Market Trends
      • 12.2.2.2 Market Forecast
    • 12.2.3 India
      • 12.2.3.1 Market Trends
      • 12.2.3.2 Market Forecast
    • 12.2.4 South Korea
      • 12.2.4.1 Market Trends
      • 12.2.4.2 Market Forecast
    • 12.2.5 Australia
      • 12.2.5.1 Market Trends
      • 12.2.5.2 Market Forecast
    • 12.2.6 Indonesia
      • 12.2.6.1 Market Trends
      • 12.2.6.2 Market Forecast
    • 12.2.7 Others
      • 12.2.7.1 Market Trends
      • 12.2.7.2 Market Forecast
  • 12.3 Europe
    • 12.3.1 Germany
      • 12.3.1.1 Market Trends
      • 12.3.1.2 Market Forecast
    • 12.3.2 France
      • 12.3.2.1 Market Trends
      • 12.3.2.2 Market Forecast
    • 12.3.3 United Kingdom
      • 12.3.3.1 Market Trends
      • 12.3.3.2 Market Forecast
    • 12.3.4 Italy
      • 12.3.4.1 Market Trends
      • 12.3.4.2 Market Forecast
    • 12.3.5 Spain
      • 12.3.5.1 Market Trends
      • 12.3.5.2 Market Forecast
    • 12.3.6 Russia
      • 12.3.6.1 Market Trends
      • 12.3.6.2 Market Forecast
    • 12.3.7 Others
      • 12.3.7.1 Market Trends
      • 12.3.7.2 Market Forecast
  • 12.4 Latin America
    • 12.4.1 Brazil
      • 12.4.1.1 Market Trends
      • 12.4.1.2 Market Forecast
    • 12.4.2 Mexico
      • 12.4.2.1 Market Trends
      • 12.4.2.2 Market Forecast
    • 12.4.3 Others
      • 12.4.3.1 Market Trends
      • 12.4.3.2 Market Forecast
  • 12.5 Middle East and Africa
    • 12.5.1 Market Trends
    • 12.5.2 Market Breakup by Country
    • 12.5.3 Market Forecast

13 Drivers, Restraints, and Opportunities

  • 13.1 Overview
  • 13.2 Drivers
  • 13.3 Restraints
  • 13.4 Opportunities

14 Value Chain Analysis

15 Porters Five Forces Analysis

  • 15.1 Overview
  • 15.2 Bargaining Power of Buyers
  • 15.3 Bargaining Power of Suppliers
  • 15.4 Degree of Competition
  • 15.5 Threat of New Entrants
  • 15.6 Threat of Substitutes

16 Price Analysis

17 Competitive Landscape

  • 17.1 Market Structure
  • 17.2 Key Players
  • 17.3 Profiles of Key Players
    • 17.3.1 Absolutdata Technologies Inc. (Infogain Corporation)
      • 17.3.1.1 Company Overview
      • 17.3.1.2 Product Portfolio
    • 17.3.2 Adobe Inc.
      • 17.3.2.1 Company Overview
      • 17.3.2.2 Product Portfolio
      • 17.3.2.3 Financials
      • 17.3.2.4 SWOT Analysis
    • 17.3.3 Altair Engineering Inc.
      • 17.3.3.1 Company Overview
      • 17.3.3.2 Product Portfolio
      • 17.3.3.3 Financials
    • 17.3.4 Alteryx Inc.
      • 17.3.4.1 Company Overview
      • 17.3.4.2 Product Portfolio
      • 17.3.4.3 Financials
    • 17.3.5 Amazon Web Services Inc. (Amazon.com Inc.)
      • 17.3.5.1 Company Overview
      • 17.3.5.2 Product Portfolio
      • 17.3.5.3 SWOT Analysis
    • 17.3.6 Fair Isaac Corporation (FICO)
      • 17.3.6.1 Company Overview
      • 17.3.6.2 Product Portfolio
      • 17.3.6.3 Financials
      • 17.3.6.4 SWOT Analysis
    • 17.3.7 Hewlett Packard Enterprise Company
      • 17.3.7.1 Company Overview
      • 17.3.7.2 Product Portfolio
      • 17.3.7.3 Financials
      • 17.3.7.4 SWOT Analysis
    • 17.3.8 International Business Machines Corporation
      • 17.3.8.1 Company Overview
      • 17.3.8.2 Product Portfolio
      • 17.3.8.3 Financials
      • 17.3.8.4 SWOT Analysis
    • 17.3.9 Microsoft Corporation
      • 17.3.9.1 Company Overview
      • 17.3.9.2 Product Portfolio
      • 17.3.9.3 Financials
      • 17.3.9.4 SWOT Analysis
    • 17.3.10 Moody's Analytics Inc. (Moody's Corporation)
      • 17.3.10.1 Company Overview
      • 17.3.10.2 Product Portfolio
    • 17.3.11 SAS Institute Inc.
      • 17.3.11.1 Company Overview
      • 17.3.11.2 Product Portfolio
      • 17.3.11.3 SWOT Analysis
    • 17.3.12 TIBCO Software Inc.
      • 17.3.12.1 Company Overview
      • 17.3.12.2 Product Portfolio
      • 17.3.12.3 SWOT Analysis

List of Figures

  • Figure 1: Global: Advanced Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Advanced Analytics Market: Sales Value (in Billion USD), 2020-2025
  • Figure 3: Global: Advanced Analytics Market Forecast: Sales Value (in Billion USD), 2026-2034
  • Figure 4: Global: Advanced Analytics Market: Breakup by Component (in %), 2025
  • Figure 5: Global: Advanced Analytics Market: Breakup by Type (in %), 2025
  • Figure 6: Global: Advanced Analytics Market: Breakup by Deployment Mode (in %), 2025
  • Figure 7: Global: Advanced Analytics Market: Breakup by Business Function (in %), 2025
  • Figure 8: Global: Advanced Analytics Market: Breakup by Enterprise Size (in %), 2025
  • Figure 9: Global: Advanced Analytics Market: Breakup by Industry Vertical (in %), 2025
  • Figure 10: Global: Advanced Analytics Market: Breakup by Region (in %), 2025
  • Figure 11: Global: Advanced Analytics (Software) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 12: Global: Advanced Analytics (Software) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 13: Global: Advanced Analytics (Service) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 14: Global: Advanced Analytics (Service) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 15: Global: Advanced Analytics (Big Data Analytics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 16: Global: Advanced Analytics (Big Data Analytics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 17: Global: Advanced Analytics (Business Analytics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 18: Global: Advanced Analytics (Business Analytics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 19: Global: Advanced Analytics (Customer Analytics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 20: Global: Advanced Analytics (Customer Analytics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 21: Global: Advanced Analytics (Statistical Analytics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 22: Global: Advanced Analytics (Statistical Analytics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 23: Global: Advanced Analytics (Risk Analytics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 24: Global: Advanced Analytics (Risk Analytics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 25: Global: Advanced Analytics (Other Types) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 26: Global: Advanced Analytics (Other Types) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 27: Global: Advanced Analytics (On-premises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 28: Global: Advanced Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 29: Global: Advanced Analytics (Cloud-based) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 30: Global: Advanced Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 31: Global: Advanced Analytics (Supply Chain) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 32: Global: Advanced Analytics (Supply Chain) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 33: Global: Advanced Analytics (Sales and Marketing) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 34: Global: Advanced Analytics (Sales and Marketing) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 35: Global: Advanced Analytics (Finance) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 36: Global: Advanced Analytics (Finance) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 37: Global: Advanced Analytics (Human Resource (HR)) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 38: Global: Advanced Analytics (Human Resource (HR)) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 39: Global: Advanced Analytics (Other Business Functions) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 40: Global: Advanced Analytics (Other Business Functions) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 41: Global: Advanced Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 42: Global: Advanced Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 43: Global: Advanced Analytics (Small and Medium-sized Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 44: Global: Advanced Analytics (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 45: Global: Advanced Analytics (BFSI) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 46: Global: Advanced Analytics (BFSI) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 47: Global: Advanced Analytics (Healthcare) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 48: Global: Advanced Analytics (Healthcare) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 49: Global: Advanced Analytics (Government) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 50: Global: Advanced Analytics (Government) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 51: Global: Advanced Analytics (IT and Telecom) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 52: Global: Advanced Analytics (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 53: Global: Advanced Analytics (Military and Defense) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 54: Global: Advanced Analytics (Military and Defense) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 55: Global: Advanced Analytics (Other Industry Verticals) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 56: Global: Advanced Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 57: North America: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 58: North America: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 59: United States: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 60: United States: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 61: Canada: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 62: Canada: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 63: Asia-Pacific: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 64: Asia-Pacific: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 65: China: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 66: China: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 67: Japan: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 68: Japan: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 69: India: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 70: India: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 71: South Korea: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 72: South Korea: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 73: Australia: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 74: Australia: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 75: Indonesia: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 76: Indonesia: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 77: Others: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 78: Others: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 79: Europe: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 80: Europe: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 81: Germany: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 82: Germany: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 83: France: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 84: France: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 85: United Kingdom: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 86: United Kingdom: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 87: Italy: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 88: Italy: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 89: Spain: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 90: Spain: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 91: Russia: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 92: Russia: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 93: Others: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 94: Others: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 95: Latin America: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 96: Latin America: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 97: Brazil: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 98: Brazil: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 99: Mexico: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 100: Mexico: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 101: Others: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 102: Others: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 103: Middle East and Africa: Advanced Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 104: Middle East and Africa: Advanced Analytics Market: Breakup by Country (in %), 2025
  • Figure 105: Middle East and Africa: Advanced Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 106: Global: Advanced Analytics Industry: Drivers, Restraints, and Opportunities
  • Figure 107: Global: Advanced Analytics Industry: Value Chain Analysis
  • Figure 108: Global: Advanced Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Advanced Analytics Market: Key Industry Highlights, 2025 and 2034
  • Table 2: Global: Advanced Analytics Market Forecast: Breakup by Component (in Million USD), 2026-2034
  • Table 3: Global: Advanced Analytics Market Forecast: Breakup by Type (in Million USD), 2026-2034
  • Table 4: Global: Advanced Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2026-2034
  • Table 5: Global: Advanced Analytics Market Forecast: Breakup by Business Function (in Million USD), 2026-2034
  • Table 6: Global: Advanced Analytics Market Forecast: Breakup by Enterprise Size (in Million USD), 2026-2034
  • Table 7: Global: Advanced Analytics Market Forecast: Breakup by Industry Vertical (in Million USD), 2026-2034
  • Table 8: Global: Advanced Analytics Market Forecast: Breakup by Region (in Million USD), 2026-2034
  • Table 9: Global: Advanced Analytics Market: Competitive Structure
  • Table 10: Global: Advanced Analytics Market: Key Players