增強分析：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Augmented Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 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

增強分析市場規模預計在 2025 年達到 298.1 億美元，預計到 2030 年將達到 1027.8 億美元，預測期內（2025-2030 年）的複合年成長率為 28.09%。

主要亮點

使用機器學習和自然語言創作來自動化資料準備、資料發現和見解共用稱為增強分析。將商業智慧工具與人工智慧整合，以加速公民資料科學家和其他商業用戶的分析工作。
企業資料日益複雜，推動了增強分析的快速應用。隨著流程變得越來越複雜和耗時，人工智慧可以提高分析的速度和準確性。
在增強分析的幫助下，可以產生自動化見解。這些自動化洞察可用於評估公司業績和整體品牌健康狀況、發掘潛力和成長領域，並全面了解您的品牌相對於市場競爭產品的地位。每個要素都會幫助制定您的企業計劃。
此外，增強分析可以透過查看綜合資料組合來識別影響生產的因素。增強分析使業務用戶能夠快速輕鬆地找到問題的答案。您不必等待很長時間資料分析師來填補空白。
自然語言處理 (NLP) 和對話分析是增強分析的兩個組成部分，使非技術專家（例如公民資料科學家）能夠與資料和見解進行互動並為企業提供建議。
COVID-19 疫情迫切需要有效的解決方案，這又需要對 AI 模型和增強分析等技術進行創新，以促進市場收益成長。

增強分析市場趨勢

預測期內零售業預計將大幅成長

透過分析從所有店內安全攝影機、社交媒體資料收集、消費者洞察以及與歷史資料的相關性收集的資料，增強分析可以為零售電子商務流程提供關鍵見解。這使您可以快速產生見解。這是透過整合人工智慧（AI）來實現的，從而為您的業務資料帶來規模、速度和效率。
如今，零售商如果想要成功，就必須更加以客戶為中心。消費者想要簡單的購物體驗。這就是為什麼當今的行銷必須具有相關性和針對性。您需要將每位顧客視為具有其獨特購買習慣的個體。利用增強分析，零售商可以創建多層獎勵，並可根據收集購買習慣和客戶評論等資訊的資料洞察進行個人化設定。這使得零售商可以製定更以客戶為中心的商務策略。
增強智慧系統允許將零售技術添加到最終用戶行業之上。為了支援零售業各個層面的決策，組織可以專注於建立資料準備、基於機器的演算法、深度學習、進階分析和洞察發現的自動化系統。
在零售業中採用分析一直很困難，但最近它已與增強分析解決方案融合。例如，商店中的任何銷售助理都可以向系統詢問他們可以採取哪些最重要的措施來增加銷售額，並藉助增強分析和 NLP 獲得詳盡的答案。

預計北美將佔據最大市場佔有率

過去幾年來，北美迅速採用了人工智慧和機器學習技術，推動了市場接受這一觀點：人工智慧（AI）有一天將匹敵甚至完全取代人類智慧。
現代化的基礎設施、大規模資金籌措的獲取、跨行業的多樣化基本客群、支持創新的環境以及高技能勞動力是推動增強分析軟體和服務出現的因素。
資料使用者被迫執行大量無需動腦、耗時又重複的任務。人工智慧使得這些任務的自動化和即時完成成為可能，大大提高了人類的生產力。鑑於美國地區製造商之間的激烈競爭，最大限度地提高生產力將有助於美國地區的企業提高利潤並增加整體收入。
增強分析使區域分析師能夠專注於分析，而不是花費大量時間進行最耗時的資料清理。這提高了效率並為美國和加拿大的企業提供了競爭優勢。

增強分析產業概覽

增強分析市場競爭適中，只有少數幾個關鍵參與者。目前，一些參與者在市場佔有率上佔據主導地位。然而，分析服務的進步使得新參與企業能夠在新興經濟體中擴大其市場地位和商業性足跡。由於新參與企業數量眾多，預計預測期內市場將開始分化。為了獲得競爭優勢，公司專注於產品創新。

2023年1月，QlikTech International AB宣布收購Talend，提案的組合將提供獨特的與雲端無關的產品組合，幫助客戶解決最緊迫的資料整合、轉換和管治需求，透過業界領先的解決方案提供全面而互補的能力，涵蓋即時資料和應用程式整合、資料管治、資料品質、轉換、分析、人工智慧和機器學習。

2022 年 5 月，銷售團隊 Inc. 宣布推出 Tableau Cloud。 Tableau Cloud 是使用者在企業級取得 Tableau 所有優點的最快、最簡單的方式。該服務是原先的 Tableau Online 的下一代服務，透過提供直覺、強大且易於使用的分析工具實現了提高生產效率的創新。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

Key Highlights

Automating data preparation, data discovery, and insight sharing using machine learning and natural language creation is called augmented analytics. It incorporates artificial intelligence into business intelligence tools to facilitate the work of citizen data scientists and other business users in analytics.
The adoption rates of augmented analytics have dramatically increased due to the growing complexity of company data. The process becomes time-consuming as it becomes more complicated, and artificial intelligence improves the speed and precision with which the analysis is carried out.
Automated insights are produced with the aid of enhanced analytics. These automated insights can then be used to evaluate a company's performance and general brand health, find growth possibilities and areas, and develop a comprehensive picture of where the brands stand regarding competing goods on the market. Each of these elements helps to form a corporate plan.
Moreover, enhanced analytics can identify the elements affecting your production by examining comprehensive data combinations. With augmented analytics, business users may quickly and easily find answers to their inquiries. They won't have to wait much longer for data analysts to fill in the blanks.
Natural Language Processing (NLP) and conversational analytics are two components of enhanced analytics that allow less technical specialists, such as citizen data scientists, to interact with the data and insights to provide recommendations for the business, which may impede market expansion.
The COVID-19 pandemic necessitated effective solutions instantly, which in turn necessitated innovative approaches to AI models and technology, such as augmented analytics, resulting in revenue growth in the market.

Augmented Analytics Market Trends

Retail Sector is Expected to Have a Significant Growth During the Forecast Period

With analysis of the data collected from all in-store security cameras, social media data collection, consumer insights, and correlation with historical data, augmented analytics gives critical insights into the retail e-commerce processes. This allows insights to be produced quickly. This is made possible by integrating artificial intelligence (AI), which gives business data the power of scale, speed, and efficiency.
Today's retailers must have a sharper emphasis on the client if they want to succeed. Consumers want simple shopping experiences. Therefore today's marketing must be pertinent and targeted. Every customer needs to be treated as an individual with unique buying habits. Retailers can create multi-level awards that can be personalized depending on data insights that gather information such as purchase habits, customer comments, etc., utilizing augmented analytics. This can help merchants create more focused business strategies for their customers.
With augmented intelligence systems, retail technology can be added on top of end-user industries. To support decision-making at all levels of the retail industry, organizations might concentrate on establishing automated systems for data preparation, machine-based algorithms, deep learning, advanced analytics, and insight discovery.
Analytics adoption has been difficult in the retail sector, but it has recently been merged with augmented analytics solutions. For instance, any in-store salesperson can ask the system for the top things they can do to increase sales and receive a thorough response thanks to augmented analytics and NLP.

North America is Expected to Have the Largest Market Share

The market's acceptance that artificial intelligence (AI) would someday be able to compete with or entirely replace human intelligence has been spurred by the rapid adoption rates of AI and machine learning technologies in North America over the past several years.
Modern infrastructure, large funding opportunities, a diverse customer base across many industries, a supportive environment for innovation, and the availability of a highly skilled workforce are the factors driving the emergence of augmented analytics software and services.
Data users were forced to perform several mindless, time-consuming, repetitive chores. AI has enabled automating and completing these jobs in real time, greatly enhancing human productivity. Productivity maximization can assist firms in the United States region in obtaining improved profits, boosting their overall income, given the region's fierce competition among manufacturers.
By using augmented analytics, the regional analyst may concentrate on the analysis rather than spending a lot of time earlier on data cleansing, which takes up the most time. This increases efficiency, giving businesses across the United States and Canada a competitive advantage.

Augmented Analytics Industry Overview

The augmented analytics market is moderately competitive and has a few significant players. Some of the players now control the market in terms of market share. Yet, new firms are growing their market position and commercial footprint throughout emerging economies due to the progress in analytical services. Due to the significant number of new entrants, the market is projected to begin to fragment throughout the forecast period. To obtain a competitive edge, the players are concentrating on product innovation.

In January 2023, QlikTech International AB announced its acquisition of Talend, where the proposed combination would deliver a unique, cloud-independent portfolio to help customers address their most pressing data integration, transformation, and governance needs and provide comprehensive and complementary capabilities with industry-leading solutions across real-time data and application integration, data governance, data quality, transformation, analytics, artificial intelligence, and machine learning.

In May 2022, Salesforce, Inc. announced Tableau Cloud, the quickest and simplest way for users to get all of Tableau's benefits at a corporate level. The service, the next iteration of what was formerly known as Tableau Online, offers innovations to increase productivity by providing intuitive, potent, and easy-to-use analytical tools that anybody can use to find insights and make decisions supported by data.

Additional Benefits:

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

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Threat of New Entrants
- 4.2.2 Bargaining Power of Buyers/Consumers
- 4.2.3 Bargaining Power of Suppliers
- 4.2.4 Threat of Substitute Products
- 4.2.5 Intensity of Competitive Rivalry
4.3 Technology Snapshot

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Increasing Demand to Cater Complex Business Data
- 5.1.2 Huge Adoption of Business Intelligence Tools
5.2 Market Restraints
- 5.2.1 Resistance Due to Replacement of Human Intelligence

6 MARKET SEGMENTATION

6.1 By Deployment
- 6.1.1 On-premise
- 6.1.2 Cloud
6.2 By End-user Industry
- 6.2.1 BFSI
- 6.2.2 Telecom & IT
- 6.2.3 Retail
- 6.2.4 Healthcare
- 6.2.5 Manufacturing
- 6.2.6 Media & Entertainment
- 6.2.7 Other End-user Industries
6.3 By Geography
- 6.3.1 North America
- 6.3.2 Europe
- 6.3.3 Asia Pacific
- 6.3.4 Rest of the World

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Microsoft Corporation
- 7.1.2 QlikTech International AB
- 7.1.3 IBM Corporation
- 7.1.4 Salesforce.com inc.
- 7.1.5 SAP SE
- 7.1.6 SAS Institute, Inc.
- 7.1.7 TIBCO Software Inc.
- 7.1.8 Sisense Inc.
- 7.1.9 ThoughtSpot Inc.
- 7.1.10 MicroStrategy Inc.
- 7.1.11 GoodData Corporation