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市场调查报告书
商品编码
1642103

增强分析：市场占有率分析、产业趋势与统计、成长预测（2025-2030）

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个工作天内

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简介目录

增强分析市场规模预计在 2025 年达到 298.1 亿美元，预计到 2030 年将达到 1027.8 亿美元，预测期内（2025-2030 年）的复合年增长率为 28.09%。

增强分析-市场-IMG1

主要亮点

  • 使用机器学习和自然语言创作来自动化资料准备、资料发现和见解共用称为增强分析。将商业智慧工具与人工智慧整合，以加速公民资料科学家和其他商业用户的分析工作。
  • 企业资料日益复杂，推动了增强分析的快速应用。随着流程变得越来越复杂和耗时，人工智慧可以提高分析的速度和准确性。
  • 在增强分析的帮助下，可以产生自动化见解。这些自动化洞察可用于评估公司业绩和整体品牌健康状况、发掘潜力和成长领域，并全面了解您的品牌相对于市场竞争产品的地位。每个要素都会帮助制定您的企业计划。
  • 此外，增强分析可以透过查看综合资料组合来识别影响生产的因素。增强分析使业务用户能够快速轻鬆地找到问题的答案。您不必等待很长时间资料分析师来填补空白。
  • 自然语言处理 (NLP) 和对话分析是增强分析的两个组成部分，使非技术专家（例如公民资料科学家）能够与资料和见解进行互动并为企业提供建议。
  • COVID-19 疫情迫切需要有效的解决方案，这又需要对 AI 模型和增强分析等技术进行创新，以促进市场收益成长。

增强分析市场趋势

预测期内零售业预计将大幅成长

  • 透过分析从所有店内安全摄影机、社交媒体资料收集、消费者洞察以及与历史资料的相关性收集的资料，增强分析可以为零售电子商务流程提供关键见解。这使您可以快速产生见解。这是透过整合人工智慧（AI）来实现的，从而为您的业务资料带来规模、速度和效率。
  • 如今，零售商如果想要成功，就必须更加以客户为中心。消费者想要简单的购物体验。这就是为什么当今的行销必须具有相关性和针对性。您需要将每位顾客视为具有其独特购买习惯的个体。利用增强分析，零售商可以创建多层奖励，并可根据收集购买习惯和客户评论等资讯的资料洞察进行个人化设定。这使得零售商可以製定更以客户为中心的商务策略。
  • 增强智慧系统允许将零售技术添加到最终用户行业之上。为了支援零售业各个层面的决策，组织可以专注于建立资料准备、基于机器的演算法、深度学习、进阶分析和洞察发现的自动化系统。
  • 在零售业中采用分析一直很困难，但最近它已与增强分析解决方案融合。例如，商店中的任何销售助理都可以向系统询问他们可以采取哪些最重要的措施来增加销售额，并藉助增强分析和 NLP 获得详尽的答案。

预计北美将占据最大市场占有率

  • 过去几年来，北美迅速采用了人工智慧和机器学习技术，推动了市场接受这一观点：人工智慧（AI）有一天将匹敌甚至完全取代人类智慧。
  • 现代化的基础设施、大规模资金筹措的获取、跨行业的多样化基本客群、支持创新的环境以及高技能劳动力是推动增强分析软体和服务出现的因素。
  • 资料使用者被迫执行大量无需动脑、耗时又重复的任务。人工智慧使得这些任务的自动化和即时完成成为可能，大大提高了人类的生产力。鑑于美国地区製造商之间的激烈竞争，最大限度地提高生产力将有助于美国地区的企业提高利润并增加整体收入。
  • 增强分析使区域分析师能够专注于分析，而不是花费大量时间进行最耗时的资料清理。这提高了效率并为美国和加拿大的企业提供了竞争优势。

增强分析产业概览

增强分析市场竞争适中，只有少数几个关键参与者。目前，一些参与者在市场占有率上占据主导地位。然而，分析服务的进步使得新参与企业能够在新兴经济体中扩大其市场地位和商业性足迹。由于新参与企业数量众多，预计预测期内市场将开始分化。为了获得竞争优势，公司专注于产品创新。

2023年1月，QlikTech International AB宣布收购Talend，提案的组合将提供独特的与云端无关的产品组合，帮助客户解决最紧迫的资料整合、转换和管治需求，透过业界领先的解决方案提供全面而互补的能力，涵盖即时资料和应用程式整合、资料管治、资料品质、转换、分析、人工智慧和机器学习。

2022 年 5 月， 销售团队 Inc. 宣布推出 Tableau Cloud。 Tableau Cloud 是使用者在企业级取得 Tableau 所有优点的最快、最简单的方式。该服务是原先的 Tableau Online 的下一代服务，透过提供直觉、强大且易于使用的分析工具实现了提高生产效率的创新。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 技术简介

第五章 市场动态

  • 市场驱动因素
    • 对复杂业务资料的需求不断增加
    • 商业智慧工具的传播
  • 市场限制
    • 透过取代人工情报进行抵抗

第六章 市场细分

  • 按部署
    • 本地
    • 云
  • 按最终用户产业
    • BFSI
    • 通讯和 IT
    • 零售
    • 卫生保健
    • 製造业
    • 媒体与娱乐
    • 其他最终用户产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 世界其他地区

第七章 竞争格局

  • 公司简介
    • Microsoft Corporation
    • QlikTech International AB
    • IBM Corporation
    • Salesforce.com inc.
    • SAP SE
    • SAS Institute, Inc.
    • TIBCO Software Inc.
    • Sisense Inc.
    • ThoughtSpot Inc.
    • MicroStrategy Inc.
    • GoodData Corporation

第八章投资分析

第九章 市场机会与未来趋势

简介目录
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

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

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 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

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS