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市場調查報告書
商品編碼
1851794

增強型分析：市場佔有率分析、產業趨勢、統計數據和成長預測（2025-2030 年）

Augmented Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計增強分析市場規模將在 2025 年達到 298.1 億美元，到 2030 年達到 1,027.8 億美元，在預測期（2025-2030 年）內複合年成長率為 28.09%。

增強分析-市場-IMG1

隨著大型語言模型 (LLM) 功能成為主流商業情報套件的標配，收入成長動能將從概念驗證轉向企業級部署。能夠執行自然語言查詢、自動產生洞察和工作流程的 AI 代理將減少分析積壓，縮短決策週期，從而在各個業務層面增強資料主導文化。儘管雲端平台仍佔據主導地位，但隨著資料主權要求敏感工作負載在本地處理，混合架構正日益普及。用於協調邊緣、私有雲端和公有區域 AI 任務的編配工具的供應商競爭日益激烈。隨著企業尋求合作夥伴來重新設計管治、提升員工技能並最佳化特定領域的底層模型，對服務的需求將加速成長。供應鏈瓶頸和高效能 GPU 推理成本的上升將限制近期擴展計劃，但超大規模資料中心業者資料中心的藍圖圖投資表明，基礎設施建設將持續到 2026 年。

全球增強分析市場趨勢與洞察

對多結構化資料分析的需求日益成長

近 80% 的企業資料是非結構化的，涵蓋文件、影像和機器日誌等多種形式。先進的語言和視覺模型能夠解析這些格式以及傳統的表格形式資料集，為分析師提供統一的資訊發現平台。汽車製造商正利用這項能力將感測器遠端檢測與維修手冊融合，將停機時間預測準確率提升 85%。醫院則將放射影像、臨床記錄和基因組圖譜結合，以改善診斷流程。利用這些尚未開發的資料資源正推動各組織轉向整合原生 AI 解析器的平台，進而促進增強型分析市場的成長。

促進自助式商業智慧和數據民主化

自然語言提示使市場經理、財務主管和客服中心供電督導無需使用 SQL 即可運行複雜的查詢。這種轉變將請求到獲得洞察的周期從數週縮短到數分鐘，使數據工程團隊能夠專注於更高價值的任務。 ThoughtSpot 與 Google Gemini 模型的整合展示了對話式搜尋如何在提供精選且共用的答案的同時，隱藏複雜性。更廣泛的應用改善了數據素養的回饋循環，鞏固了分析文化，並進一步推動了增強型分析市場的發展。

資料隱私和安全問題

GDPR 和其他行業法規要求明確徵得用戶同意、數據最小化和審核追蹤，這使得自由地進行人工智慧實驗存在風險。 MicroStrategy 已與 STACKIT 合作，提供符合歐盟標準的、託管在德國和奧地利的軟體棧。合規成本會延緩計劃部署，從而降低短期支出，但有助於建立長期信任。

細分市場分析

到2024年，軟體收入將佔總收入的78%，因為買家傾向於選擇包含資料收集、建模和視覺化功能的端到端套件。就以金額為準，該細分市場規模將達到232.7億美元。持續的功能發布，例如產品內建的LLM聊天機器人，為更新和提升銷售提供了可靠的途徑。服務細分市場雖然規模較小，但正以28.96%的複合年成長率快速成長，主要得益於實施、模型管理和用戶採納計劃的推動。隨著多重雲端環境的擴展，客戶將策略設計、測試和ROI基準等工作外包給合作夥伴。供應商的專業服務團隊正在抓住這一機遇，而全球系統整合正在組建千人規模的AI工作室以滿足市場需求。

次要影響進一步強化了軟體優勢。 Snowflake 將 Anthropic 的模型整合到其 Cortex 服務中，讓客戶無需匯出資料即可存取生成式摘要，從而增強了使用者對該平台的依賴性。展望未來，開放原始碼AI 元件也將不斷發展，但軟體產業仍將主導市場細分，因為買家更傾向於選擇能夠保證安全修補程式和法律賠償的商業封裝產品。

到2024年，雲端採用將佔總支出的61%。金融服務公司、線上市場和串流媒體網路正在利用彈性架構來應對假日高峰和模型訓練的激增。然而，嚴格的駐留要求正將關鍵工作負載轉移到私人區域，推動混合架構以30.22%的複合年成長率成長。混合架構在增強分析市場中的佔有率預計將從2025年的181.9億美元成長到2030年的713.4億美元。邊緣設備在本地處理個人識別訊息，然後將聚合模式傳輸到雲端人工智慧進行更深入的推理，從而在合規性和分析深度之間取得平衡。

邊緣到雲的編配工具預示著下一個戰場的到來。平台需要調度防火牆兩側 Kubernetes 叢集上的 SQL、向量搜尋和強化學習作業。能夠自動化容器部署、管理加密金鑰並最佳化延遲的供應商有望獲得顯著的市場佔有率。純本地部署在核能、國防和製藥行業仍然十分重要，但由於這些行業資金有限，硬體更新周期較長，其成長速度落後於混合部署。

增強分析市場報告按組件（軟體和服務）、部署方式（本地部署、雲端部署、混合部署）、組織規模（大型企業和中小企業）、最終用戶垂直行業（銀行、金融服務和保險、通訊和 IT、零售和消費品、醫療保健和生命科學、製造業、媒體和娛樂、政府和公共部門）以及地區進行細分。

區域分析

北美將在2024年貢獻全球48%的收入，並擁有許多結構性優勢，包括密集的雲端基礎設施、創業投資的創投管道以及技術純熟勞工儲備。財富500強企業正在建立人工智慧卓越中心，並將分析技術嵌入財務、供應鏈和人力資源應用中。聯邦政府對人工智慧研究的資助以及簡化的IPO流程正在吸引新興企業，從而重塑產業格局。然而，加拿大的資料本地化規定、加州消費者隱私法案的修訂以及反壟斷審查，都使得合規成本高昂，並促使企業轉向跨司法管轄區的混合架構。

儘管亞太地區目前規模較小，但預計到2030年將以28.80%的複合年成長率成長。各國政府已為人工智慧基礎設施、半導體和人才培育累計超過5000億美元。中國深圳的人工智慧中心為GPU叢集提供補貼，而印度的《數位個人資料保護法》在鼓勵國內創新的同時，也設定了監管框架。製造業巨頭正聚集在東京、首爾和新加坡，從而形成對現場預測分析的巨大需求。本地供應商正在整合普通話、印地語和印尼語的語音模型，以滿足語言需求，並為本地企業帶來競爭優勢。因此，亞太地區的增強分析市場正以最快的速度成長。

儘管受GDPR和即將推出的人工智慧法規影響，供應商的義務日益增加，但歐洲的成長率仍維持在15%左右。德國中小企業正積極採用跨境主權雲。法國公共機構為了遵守公民資料法規，正在偏遠地區運作分析系統。供應商藍圖被標記為“歐盟可信區域”，以反映歐洲大陸的法規。南北之間的數位技能差距依然存在，但歐盟資助的技能再培訓計畫正在縮小這一差距，並支持技術的穩定普及。

拉丁美洲、中東和非洲是新興市場，預計到2030年將佔增強型分析市場近10%的佔有率。行動優先的經營模式、金融科技的日益普及以及不斷成長的無銀行帳戶人口，正在推動銀行帳戶評分和詐欺檢測領域對分析技術的需求。在聖保羅、利雅德和約翰尼斯堡部署雲端區域，可以降低延遲，支援資料駐留規則，並提供試點預算，以便在實現投資回報後遷移到生產工作負載。

其他福利：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場情勢

  • 市場概覽
  • 市場促進因素
    • 對多結構化資料分析的需求日益成長
    • 促進自助式商業智慧和數據民主化
    • 利用雲端訂閱服務吸引中小企業
    • 整合生成式人工智慧的分析套件
    • 資料主權邊緣層部署
    • SaaS Copilot主導的嵌入式分析貨幣化
  • 市場限制
    • 資料隱私和安全問題
    • 勞動市場缺乏保障，面臨人力替代問題
    • 及時彌補工程技能差距
    • GPU稀缺和推理成本上漲
  • 價值/供應鏈分析
  • 監管環境
  • 技術展望
  • 波特五力分析
    • 新進入者的威脅
    • 買方的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭

第5章 市場規模與成長預測

  • 按組件
    • 軟體
    • 服務
  • 透過部署
    • 本地部署
    • 雲
    • 混合
  • 按公司規模
    • 主要企業
    • 小型企業
  • 按最終用戶行業分類
    • BFSI
    • 電訊和資訊技術
    • 零售和消費品
    • 醫療保健和生命科學
    • 製造業
    • 媒體與娛樂
    • 政府和公共部門
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美洲
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 俄羅斯
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 亞太其他地區
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 其他中東地區
    • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • Microsoft Corporation
    • Salesforce Inc.（incl. Tableau）
    • SAP SE
    • International Business Machines Corp.
    • QlikTech International AB
    • Google LLC（Looker）
    • Oracle Corporation
    • SAS Institute Inc.
    • TIBCO Software Inc.
    • ThoughtSpot Inc.
    • MicroStrategy Inc.
    • Sisense Inc.
    • GoodData Corp.
    • Alteryx Inc.
    • Domo Inc.
    • Zoho Corporation（Zoho Analytics）
    • Amazon Web Services-QuickSight
    • Yellowfin BI
    • Board International

第7章 市場機會與未來展望

簡介目錄
Product Code: 66629

The Augmented Analytics Market size is estimated at USD 29.81 billion in 2025, and is expected to reach USD 102.78 billion by 2030, at a CAGR of 28.09% during the forecast period (2025-2030).

Augmented Analytics - Market - IMG1

Revenue momentum shifts from proof-of-concepts to enterprise-wide deployments as large-language-model (LLM) functions become standard features inside mainstream business-intelligence suites. Natural-language querying, automated insight generation, and AI agents that execute workflows reduce analytics backlogs and shorten decision cycles, elevating data-driven culture across every business layer. Cloud platforms remain dominant, yet hybrid architectures gain traction because data-sovereignty mandates require on-premises processing for sensitive workloads. Vendor competition intensifies around orchestration tools that coordinate AI tasks between edge, private cloud, and public regions. Services demand accelerates as organisations seek partners to redesign governance, reskill workers, and fine-tune foundation models for domain specificity. Supply-chain bottlenecks for high-performance GPUs and rising inference costs temper near-term scaling plans, but road-map investments by hyperscalers indicate sustained infrastructure build-out through 2026.

Global Augmented Analytics Market Trends and Insights

Rising demand to analyse multi-structured data

Nearly 80% of enterprise information is unstructured, spanning documents, images, and machine logs. Advanced language and vision models now parse these formats alongside classic tabular datasets, giving analysts a single discovery surface. Automotive manufacturers use the capability to fuse sensor telemetry with maintenance manuals and raise downtime-forecasting accuracy by 85%. Hospitals are combining radiology scans, clinical notes, and genomic profiles to refine diagnostic pathways. The ability to tap these untapped data pools pushes organisations toward platforms that embed AI-native parsers, reinforcing growth for the augmented analytics market.

Self-service BI and data-democratisation push

Natural-language prompts let marketing managers, finance controllers, and call-centre supervisors run complex queries without SQL. This shift cuts request-to-insight cycles from weeks to minutes and frees data-engineering teams for higher-value tasks. ThoughtSpot's integration with Google's Gemini models shows how conversational search hides complexity while returning governed, shareable answers. Higher usage rates improve data-literacy feedback loops, anchoring analytics culture, and lifting the augmented analytics market further.

Data-privacy and security concerns

GDPR and sectoral rules require explicit consent, data minimisation, and audit trails, making unfettered AI experimentation risky. Vendors now launch "sovereign cloud" zones inside regional data centres; MicroStrategy partnered with STACKIT to deliver an EU-compliant stack hosted in Germany and Austria. Compliance overhead slows project rollout, trimming near-term spending even as long-term trust builds.

Other drivers and restraints analyzed in the detailed report include:

  1. SME uptake via cloud subscriptions
  2. Generative-AI infused analytics suites
  3. Workforce anxiety over human-replacement

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software accounted for 78% revenue in 2024 as buyers gravitated toward end-to-end suites bundling ingestion, modelling, and visualisation. In monetary terms, the segment contributed USD 23.27 billion to the augmented analytics market size. Continuous feature releases, such as in-product LLM chatbots, lock in renewals and upsell paths. The services segment, although smaller, is scaling at 28.96% CAGR on the back of implementation, model-governance, and user-adoption projects. As multi-cloud estates grow, clients commission partners to handle policy design, testing, and ROI baselining. Vendor professional-services groups tap this opportunity, while global system integrators build 1,000-person AI studios to capture demand.

Second-order effects reinforce software primacy. When Snowflake embedded Anthropic's models inside its Cortex service, customers accessed generative summarisation without exporting data, tightening platform dependence. Over the forecast horizon, open-source AI components will evolve, yet buyers still prefer commercial wrappers that guarantee security patches and legal indemnities, sustaining the software segment's lead within the augmented analytics market.

Cloud installations generated 61% of total spending in 2024. Financial-services firms, online marketplaces, and streaming networks exploit elasticity for holiday spikes and model-training bursts. However, strict residency mandates push critical workloads to private zones, propelling hybrid setups at a 30.22% CAGR. The hybrid share of the augmented analytics market is projected to rise from USD 18.19 billion in 2025 to USD 71.34 billion by 2030. Edge devices process personally identifiable information locally, then forward aggregated patterns to cloud AI for deeper inference, balancing compliance with analytic depth.

Edge-to-cloud orchestration tools signal the next battleground: platforms must schedule SQL, vector-search, and reinforcement-learning jobs across Kubernetes clusters on both sides of the firewall. Providers able to auto-deploy containers, govern encryption keys, and optimise latency stand to capture an outsized wallet share. On-premises-only deployments remain relevant for nuclear energy, defence, and pharmaceuticals, but growth lags behind hybrid because hardware refresh cycles elongate in capex-constrained sectors.

The Augmented Analytics Market Report is Segmented by Component (Software and Services), Deployment (On-Premise, Cloud, and Hybrid), Organization Size (Large Enterprises and Small and Mid-Size Enterprises), End-User Industry (BFSI, Telecom and IT, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, and Government and Public Sector), and Geography.

Geography Analysis

North America generated 48% of global revenue in 2024 and retains structural advantages: dense cloud-region footprint, venture-capital pipelines, and AI-skilled labour pools. Fortune 500 firms institutionalise AI centre-of-excellence charters, embedding analytics inside finance, supply-chain, and HR apps. Federal funding for AI research and streamlined IPO pathways attract startups that refresh the competitive arena. However, data-localisation clauses in Canada, California Consumer Privacy Act amendments, and antitrust scrutiny introduce compliance spend, nudging firms toward multi-jurisdictional hybrid architectures.

Asia-Pacific, while smaller today, is on a 28.80% CAGR trajectory through 2030. Government allocations exceed USD 500 billion for AI infrastructure, semiconductors, and talent development. China's AI hub in Shenzhen offers subsidised GPU clusters; India's Digital Personal Data Protection Act sets guardrails while encouraging domestic innovation. Manufacturing conglomerates cluster around Tokyo, Seoul, and Singapore, creating demand flywheels for shop-floor predictive analytics. Local vendors integrate Mandarin, Hindi, and Bahasa speech models, meeting linguistic requirements and giving regional players an edge. The augmented analytics market thus finds its fastest volume expansion in APAC geographies.

Europe continues to post mid-teen growth even as GDPR and the forthcoming AI Act heighten vendor obligations. Enterprises in Germany's Mittelstand adopt sovereign-cloud deployments inside national borders. French public-sector agencies run analytics in isolated regions to comply with citizen-data statutes. Vendor road maps now include "EU trusted zone" labels, reflecting the continent's regulatory pull. North-to-south digital-skills disparities persist, but EU-funded reskilling programmes close gaps, supporting steady adoption.

Latin America, the Middle East, and Africa represent later-stage opportunities, together projected to account for just under 10% of the augmented analytics market by 2030. Mobile-first business models, rising fintech penetration, and under-banked populations create analytics needs around credit scoring and fraud detection. Cloud-region launches in Sao Paulo, Riyadh, and Johannesburg lower latency and address data-residency rules, unlocking pilot budgets that convert to production workloads when ROI materialises.

  1. Microsoft Corporation
  2. Salesforce Inc. (incl. Tableau)
  3. SAP SE
  4. International Business Machines Corp.
  5. QlikTech International AB
  6. Google LLC (Looker)
  7. Oracle Corporation
  8. SAS Institute Inc.
  9. TIBCO Software Inc.
  10. ThoughtSpot Inc.
  11. MicroStrategy Inc.
  12. Sisense Inc.
  13. GoodData Corp.
  14. Alteryx Inc.
  15. Domo Inc.
  16. Zoho Corporation (Zoho Analytics)
  17. Amazon Web Services - QuickSight
  18. Yellowfin BI
  19. Board International

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rising demand to analyse multi-structured data
    • 4.2.2 Self-service BI and data-democratisation push
    • 4.2.3 SME uptake via cloud subscriptions
    • 4.2.4 Generative-AI infused analytics suites
    • 4.2.5 Edge-tier deployments for data sovereignty
    • 4.2.6 SaaS copilot-led embedded-analytics monetisation
  • 4.3 Market Restraints
    • 4.3.1 Data-privacy and security concerns
    • 4.3.2 Workforce anxiety over human-replacement
    • 4.3.3 Prompt-engineering skill gap
    • 4.3.4 GPU scarcity and inference cost inflation
  • 4.4 Value/Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Software
    • 5.1.2 Services
  • 5.2 By Deployment
    • 5.2.1 On-premise
    • 5.2.2 Cloud
    • 5.2.3 Hybrid
  • 5.3 By Organisation Size
    • 5.3.1 Large Enterprises
    • 5.3.2 Small and Mid-size Enterprises
  • 5.4 By End-user Industry
    • 5.4.1 BFSI
    • 5.4.2 Telecom and IT
    • 5.4.3 Retail and Consumer Goods
    • 5.4.4 Healthcare and Life Sciences
    • 5.4.5 Manufacturing
    • 5.4.6 Media and Entertainment
    • 5.4.7 Government and Public Sector
  • 5.5 By Geography
    • 5.5.1 North America
      • 5.5.1.1 US
      • 5.5.1.2 Canada
      • 5.5.1.3 Mexico
    • 5.5.2 South America
      • 5.5.2.1 Brazil
      • 5.5.2.2 Argentina
      • 5.5.2.3 Rest of South America
    • 5.5.3 Europe
      • 5.5.3.1 Germany
      • 5.5.3.2 UK
      • 5.5.3.3 France
      • 5.5.3.4 Italy
      • 5.5.3.5 Russia
    • 5.5.4 Asia Pacific
      • 5.5.4.1 China
      • 5.5.4.2 Japan
      • 5.5.4.3 India
      • 5.5.4.4 South Korea
      • 5.5.4.5 Rest of Asia Pacific
    • 5.5.5 Middle East
      • 5.5.5.1 Saudi Arabia
      • 5.5.5.2 United Arab Emirates
      • 5.5.5.3 Qatar
      • 5.5.5.4 Rest of Middle East
    • 5.5.6 Africa
      • 5.5.6.1 South Africa
      • 5.5.6.2 Nigeria
      • 5.5.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Microsoft Corporation
    • 6.4.2 Salesforce Inc. (incl. Tableau)
    • 6.4.3 SAP SE
    • 6.4.4 International Business Machines Corp.
    • 6.4.5 QlikTech International AB
    • 6.4.6 Google LLC (Looker)
    • 6.4.7 Oracle Corporation
    • 6.4.8 SAS Institute Inc.
    • 6.4.9 TIBCO Software Inc.
    • 6.4.10 ThoughtSpot Inc.
    • 6.4.11 MicroStrategy Inc.
    • 6.4.12 Sisense Inc.
    • 6.4.13 GoodData Corp.
    • 6.4.14 Alteryx Inc.
    • 6.4.15 Domo Inc.
    • 6.4.16 Zoho Corporation (Zoho Analytics)
    • 6.4.17 Amazon Web Services - QuickSight
    • 6.4.18 Yellowfin BI
    • 6.4.19 Board International

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment