擴展分析：市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

Augmented Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15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到 2024 年為 232.7 億美元，預計到 2029 年將達到 802.5 億美元，在預測期內（2024-2029 年）年複合成長率為 28.09% 成長。

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。將人工智慧融入商業智慧工具中，以加速公民資料科學家和其他業務用戶的分析工作。
由於企業資料的複雜性不斷增加，增強分析的採用率正在急劇增加。這個過程變得更加複雜，非常耗時，而人工智慧提高了分析執行的速度和準確性。
使用增強的分析產生自動見解。這些自動洞察可以評估公司的業績和整體品牌健康狀況，找到成長潛力和領域，並提供品牌相對於市場競爭對手的地位的全面視圖。它可以用來理解。這些要素中的每一個都有助於形成企業計劃。
此外，增強的分析可以透過檢查全面的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，資料分析師就會填補空白。
自然語言處理 (NLP) 和會話分析是增強分析的兩個組成部分，它們技術水準允許公民資料科學家等技能較低的專業人士操縱資料和見解，從而阻礙市場擴張。使我們能夠向擁有這種能力的企業提供建議。
COVID-19感染疾病需要立即有效的解決方案，從而需要人工智慧模型和技術的創新方法，例如增強分析，從而增加市場收益。

增強分析市場趨勢

預計零售業在預測期內將大幅成長

增強的分析功能將從所有店內保全攝影機收集的資料、社群媒體資料收集、消費者洞察和歷史資料關聯起來，為您的零售電子商務流程提供重要的洞察。這可以讓您快速獲得見解。這是透過整合人工智慧 (AI) 實現的，人工智慧 (AI) 為業務資料提供了規模、速度和效率。
如果今天的零售商想要成功，他們需要更明確地關注客戶。消費者想要簡單的購物體驗。因此，今天的行銷必須具有相關性和針對性。每個客戶都應該被視為具有自己購買習慣的個體。零售商可以使用增強分析來創建多級獎項，這些獎項可以根據捕獲購買習慣和客戶評論等資訊的資料洞察進行個性化。這有助於賣家為客戶制定更有針對性的商務策略。
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，組織可能會專注於建立用於資料準備、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。
雖然分析在零售業很難實施，但它最近已與增強分析解決方案整合。例如，商店中的任何銷售人員都可以詢問系統，他們可以做的最重要的事情是什麼來增加銷售額，並透過增強分析和 NLP 獲得全面的答案。

預計北美將擁有最大的市場佔有率

過去幾年，人工智慧和機器學習技術在北美的快速採用推動了市場對人工智慧 (AI) 有朝一日能夠與人類智慧競爭或完全取代人類智慧的接受度。
現代基礎設施、重要的資金籌措機會、跨多個行業的多元化客戶群、支持創新的環境以及高技能勞動力的可用性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一些計劃外、耗時且重複的任務。人工智慧使這些任務自動化並即時完成成為可能，大大提高了人類的生產力。由於美國地區製造商之間的競爭激烈，最大化生產力可以幫助美國地區的公司提高利潤並提高整體收入。
透過使用增強分析，區域分析師可以專注於分析，而不是在早期花費太多時間進行資料清理，這會消耗最多的時間。這提高了效率，並為美國和加拿大公司提供了競爭優勢。

增強分析產業概述

增強分析市場的競爭中等，有一些強大的參與者。目前，少數參與者在市場佔有率方面佔據主導地位。然而，分析服務的進步正在幫助新興企業擴大其在新興經濟體的市場地位和商業性足跡。由於大量新進入者的存在，預計市場在整個預測期內將開始分化。為了獲得競爭優勢，參與者正在專注於產品創新。

2023 年 1 月，QlikTech International AB 宣布收購 Talend。提案的整合提供了一個獨特的與雲端無關的產品組合，使客戶能夠解決他們最緊迫的資料整合、轉換和管治需求，並提供與行業全面且互補的功能。我們提供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的尖端解決方案。

2022 年 5 月，Salesforce, Inc. 發布了 Tableau Cloud，這是用戶在企業級享受 Tableau 的所有優勢的最快、最簡單的方式。該服務是以前稱為 Tableau Online 的服務的下一個版本，提供直覺、強大且易於使用的分析工具，任何人都可以使用這些工具來尋找見解並根據資料做出決策。透過這樣做，我們提供提高生產力的創新。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月分析師支持

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