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市场调查报告书
商品编码
1445428

扩展分析：市场占有率分析、产业趋势与统计、成长预测（2024-2029）

Augmented Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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到 2024 年为 232.7 亿美元，预计到 2029 年将达到 802.5 亿美元，在预测期内（2024-2029 年）复合年增长率为 28.09% 增长。

增强分析 - 市场

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。将人工智慧融入商业智慧工具中，以加速公民资料科学家和其他业务用户的分析工作。
  • 由于企业资料的复杂性不断增加，增强分析的采用率正在急剧增加。这个过程变得更加复杂，非常耗时，而人工智慧提高了分析执行的速度和准确性。
  • 使用增强的分析产生自动见解。这些自动洞察可以评估公司的业绩和整体品牌健康状况，找到成长潜力和领域，并提供品牌相对于市场竞争对手的地位的全面视图。它可以用来理解。这些要素中的每一个都有助于形成企业计划。
  • 此外，增强的分析可以透过检查全面的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，资料分析师就会填补空白。
  • 自然语言处理 (NLP) 和会话分析是增强分析的两个组成部分，它们技术水准允许公民资料科学家等技能较低的专业人士操纵资料和见解，从而阻碍市场扩张。使我们能够向拥有这种能力的企业提供建议。
  • COVID-19感染疾病需要立即有效的解决方案，从而需要人工智慧模型和技术的创新方法，例如增强分析，从而增加市场收益。

增强分析市场趋势

预计零售业在预测期内将大幅成长

  • 增强的分析功能将从所有店内保全摄影机收集的资料、社群媒体资料收集、消费者洞察和历史资料关联起来，为您的零售电子商务流程提供重要的洞察。这可以让您快速获得见解。这是透过整合人工智慧 (AI) 实现的，人工智慧 (AI) 为业务资料提供了规模、速度和效率。
  • 如果今天的零售商想要成功，他们需要更明确地关注客户。消费者想要简单的购物体验。因此，今天的行销必须具有相关性和针对性。每个客户都应该被视为具有自己购买习惯的个体。零售商可以使用增强分析来创建多级奖项，这些奖项可以根据捕获购买习惯和客户评论等资讯的资料洞察进行个性化。这有助于卖家为客户制定更有针对性的商务策略。
  • 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，组织可能会专注于建立用于资料准备、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。
  • 虽然分析在零售业很难实施，但它最近已与增强分析解决方案整合。例如，商店中的任何销售人员都可以询问系统，他们可以做的最重要的事情是什么来增加销售额，并透过增强分析和 NLP 获得全面的答案。

预计北美将拥有最大的市场占有率

  • 过去几年，人工智慧和机器学习技术在北美的快速采用推动了市场对人工智慧 (AI) 有朝一日能够与人类智慧竞争或完全取代人类智慧的接受度。
  • 现代基础设施、重要的资金筹措机会、跨多个行业的多元化客户群、支持创新的环境以及高技能劳动力的可用性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一些计划外、耗时且重复的任务。人工智慧使这些任务自动化并即时完成成为可能，大大提高了人类的生产力。由于美国地区製造商之间的竞争激烈，最大化生产力可以帮助美国地区的公司提高利润并提高整体收入。
  • 透过使用增强分析，区域分析师可以专注于分析，而不是在早期花费太多时间进行资料清理，这会消耗最多的时间。这提高了效率，并为美国和加拿大公司提供了竞争优势。

增强分析产业概述

增强分析市场的竞争中等，有一些强大的参与者。目前，少数参与者在市场占有率方面占据主导地位。然而，分析服务的进步正在帮助新兴企业扩大其在新兴经济体的市场地位和商业性足迹。由于大量新进入者的存在，预计市场在整个预测期内将开始分化。为了获得竞争优势，参与者正在专注于产品创新。

2023 年 1 月，QlikTech International AB 宣布收购 Talend。提案的整合提供了一个独特的与云端无关的产品组合，使客户能够解决他们最紧迫的资料整合、转换和管治需求，并提供与行业全面且互补的功能。我们提供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的尖端解决方案。

2022 年 5 月，Salesforce, Inc. 发布了 Tableau Cloud，这是用户在企业级享受 Tableau 的所有优势的最快、最简单的方式。该服务是以前称为 Tableau Online 的服务的下一个版本，提供直觉、强大且易于使用的分析工具，任何人都可以使用这些工具来寻找见解并根据资料做出决策。透过这样做，我们提供提高生产力的创新。

其他福利

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

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

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
    • 买方议价能力
    • 供应商的议价能力
    • 替代产品的威胁
    • 竞争公司之间的敌意强度
  • 技术简介

第五章市场动态

  • 市场驱动因素
    • 适应复杂业务资料的需求不断成长
    • 大规模部署商业智慧工具
  • 市场限制因素
    • 透过取代人类智力来抵抗

第六章市场区隔

  • 按配置
    • 本地
    • 云
  • 按最终用户产业
    • BFSI
    • 电信与资讯技术
    • 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 竞争形势

  • 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 23.27 billion in 2024, and is expected to reach USD 80.25 billion by 2029, growing at a CAGR of 28.09% during the forecast period (2024-2029).

Augmented Analytics - Market

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