增強分析市場規模、全球組件、部署模式、組織規模、地區、範圍和預測

增強分析市場及預測

增強分析市場規模在 2024 年價值 110.4 億美元，預計到 2032 年將達到 601.2 億美元，2026 年至 2032 年的複合年成長率為 23.6%。

• 增強智慧分析是指利用人工智慧 (AI) 和機器學習 (ML) 來增強資料分析流程。該技術可自動執行資料準備、分析和視覺化等複雜資料任務，使用戶無需深厚的專業知識即可獲得進階洞察。增強分析利用演算法識別模式並產生預測模型，簡化了從海量資料集中獲取可行洞察的過程。
• 事實上，增強分析正在透過實現更直覺的數據互動和更快的決策來改變各行各業。
• 例如，在金融業，它有助於預測市場趨勢並更準確地檢測詐欺行為；在醫療保健行業，它透過分析大量醫療數據來幫助診斷和規劃患者的治療方案；在零售業，它被廣泛用於個人化客戶體驗和最佳化供應鏈營運。

全球增強分析市場動態

關鍵市場促進因素

• 人工智慧和機器學習的不斷進步：人工智慧和機器學習技術的持續改進將透過增強自動數據處理、模式識別和預測分析的能力來推動增強分析市場的發展。這些進步使得從複雜資料集中獲取可操作的洞察變得更加容易。根據美國國家科學基金會 (NSF) 於 2024 年 1 月發布的報告，美國聯邦政府對人工智慧研究的資助將在 2020 年至 2023 年間成長 30%，達到每年 25 億美元。這些投資已顯著提升了人工智慧的能力。
• 資料量不斷成長：各行各業產生的資料量呈指數級成長，需要更先進的分析工具。增強分析透過提供可擴展的解決方案來有效管理和解讀大量數據，從而推動更明智的決策，從而滿足了這一需求。例如，亞馬遜網路服務 (AWS) 於 2024 年 2 月宣布升級其「資料湖形成」服務，旨在更有效率地處理Petabyte級資料湖，滿足日益成長的大規模資料管理解決方案需求。
• 對即時洞察的需求日益成長：企業越來越需要即時數據分析來保持競爭力。增強分析透過自動化數據處理和分析提供及時洞察，從而能夠更快地響應市場變化和業務挑戰。例如，微軟於2024年4月宣布了其Power BI平台的增強功能，包括改進的即時資料處理功能以及與Azure Synapse Analytics的整合，以更快地產生洞察。
• 自助式分析的採用日益成長：對自助式分析工具的需求日益成長，這些工具能夠幫助非技術用戶獨立進行數據分析。增強分析透過提供直覺的介面和自動化洞察，使數據存取和分析更加民主化，從而順應了這一趨勢。商業應用研究中心 (BARC) 在其《2024 年商業智慧趨勢監測報告》中報告稱，2022 年至 2023 年間，自助式商業智慧工具的使用量將成長 22%，76% 的受訪組織計劃在未來兩年內增加對這些技術的投資。

主要挑戰

• 資料隱私和安全疑慮日益加劇：增強分析的使用引發了重大的資料隱私和安全問題，尤其是在敏感資訊方面。確保強力的保護措施和法規合規性可能非常複雜，並可能成為其應用的阻礙。
• 技能差距不斷擴大：儘管人們努力簡化分析，但仍需要熟練的專業人員來管理和解讀增強分析工具帶來的見解。合格資料科學家和分析師的短缺可能會限制其有效應用。
• 過度依賴自動化系統：過度依賴自動化分析會減少人工監督和批判性思維，如果不謹慎管理，可能會導致對數據的誤解和未能考慮上下文的細微差別。
• 日益嚴重的資料品質問題：增強分析高度依賴輸入資料的品質。品質差或不一致的數據可能導致不準確或誤導性的洞察，從而削弱分析工具的有效性。
• 變革阻力：企業可能會遭遇習慣於傳統分析方法的員工的阻力。採用增強分析需要文化轉型，並願意接受新技術和新工作流程。

主要趨勢

• 人工智慧和機器學習的日益普及：將先進的人工智慧和機器學習演算法整合到增強分析平台的趨勢日益成長。這一趨勢增強了預測能力，並自動化了複雜的數據分析，從而獲得更準確、更可操作的洞察。例如，IBM 於 2024 年 3 月宣布推出其「Watson AutoAI」平台。該平台實現了從資料準備到模型選擇和部署的整個機器學習流程的自動化，顯著減少了將人工智慧引入分析工作流程所需的時間和專業知識。
• 自助式分析工具的擴展：市場上自助式分析工具的數量正在成長，這些工具允許非技術用戶自行進行數據分析。此趨勢源自於人們渴望進一步普及洞察獲取途徑，並賦能用戶自主做出數據主導決策。美國國家教育統計中心 (NCES) 於 2023 年 12 月報告稱，65% 的美國高等教育機構提供資料素養和自助式分析課程或項目，高於 2021 年的 47%。
• 與雲端運算整合：增強分析解決方案擴大透過雲端平台部署，雲端平台具有可擴展性、靈活性和成本效益。這一趨勢使企業能夠利用雲端資源提供強大的分析能力，而無需在基礎設施上進行大量的前期投資。例如，2024年4月，微軟Azure宣布其「Azure Synapse Analytics」服務正式上線，該服務將巨量資料分析、人工智慧與雲端原生功能結合，使企業能夠在雲端無縫運行分析工作負載。

目錄

第1章 引言

• 市場定義
• 市場區隔
• 調查方法

第2章執行摘要

• 主要發現
• 市場概覽
• 市場亮點

第3章市場概述

• 市場規模和成長潛力
• 市場趨勢
• 市場促進因素
• 市場限制
• 市場機會
• 波特五力分析

第4章 增強分析市場（按組件）

• 軟體
• 服務

第5章 增強分析市場（依部署模式）

• 雲端基礎
• 本地

第6章 增強分析市場（依組織規模）

• 中小企業
• 主要企業

第7章區域分析

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東和非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合大公國

第8章市場動態

• 市場促進因素
• 市場限制
• 市場機會
• COVID-19 市場影響

第9章 競爭態勢

• 主要企業
• 市場佔有率分析

第10章 公司簡介

• Domo, Inc.
• International Business Machines Corporation
• Microsoft Corporation
• Oracle Corporation
• QlikTech International AB
• Salesforce, Inc.
• SAP SE
• Sisense, Inc.
• ThoughtSpot, Inc.
• TIBCO Software, Inc.
• Yellowfin International Pty Ltd（Idera, Inc.）.

第11章 市場展望與機會

• 新興技術
• 未來市場趨勢
• 投資機會

第12章 附錄

• 簡稱列表
• 來源和參考文獻

Augmented Analytics Market And Forecast

Augmented Analytics Market size was valued at USD 11.04 Billion in 2024 and is projected to reach USD 60.12 Billion by 2032, growing at a CAGR of 23.6% from 2026 to 2032.

• Augmented analytics refers to the use of artificial intelligence (AI) and machine learning (ML) to enhance data analytics processes. This technology automates complex data tasks, such as data preparation, analysis, and visualization, making advanced insights more accessible to users without deep technical expertise. By leveraging algorithms to identify patterns and generate predictive models, augmented analytics simplifies the process of deriving actionable insights from large datasets.
• In practice, augmented analytics is transforming various industries by enabling more intuitive data interaction and faster decision-making.
• For instance, in finance, it helps in predicting market trends and detecting fraudulent activities with higher accuracy. In healthcare, it aids in patient diagnosis and treatment planning by analyzing vast amounts of medical data. The technology is also widely used in retail for personalizing customer experiences and optimizing supply chain operations.

Global Augmented Analytics Market Dynamics

The key market dynamics that are shaping the global Augmented Analytics Market include:

Key Market Drivers

• Increasing Advancements in AI and Machine Learning: Continuous improvements in AI and machine learning technologies drive the augmented analytics market by enhancing the capabilities for automated data processing, pattern recognition, and predictive analytics. These advancements make it easier to generate actionable insights from complex datasets. According to a report by the National Science Foundation (NSF) released in January 2024, federal funding for AI research in the United States increased by 30% between 2020 and 2023, reaching USD 2.5 Billion annually. This investment has led to significant advancements in AI capabilities.
• Increased Data Volumes: The exponential growth in data generated across industries necessitates more sophisticated tools for analysis. Augmented analytics addresses this need by providing scalable solutions that can efficiently manage and interpret large volumes of data, facilitating better decision-making. For instance, Amazon Web Services (AWS) introduced its "Data Lake Formation" service upgrade in February 2024, designed to handle petabyte-scale data lakes more efficiently, addressing the growing need for large-scale data management solutions.
• Increasing Demand for Real-time Insights: Organizations increasingly require real-time data analysis to stay competitive. Augmented analytics delivers timely insights by automating data processing and analysis, enabling faster responses to market changes and operational challenges. For instance, in April 2024, Microsoft announced enhancements to its Power BI platform, including improved real-time data processing capabilities and integration with Azure Synapse Analytics for faster insights generation.
• Growing Adoption of Self-service Analytics: There is a rising demand for self-service analytics tools that empower non-technical users to perform data analysis independently. Augmented analytics supports this trend by providing intuitive interfaces and automated insights, democratizing data access and analysis. The Business Application Research Center (BARC) reported in their "BI Trend Monitor 2024" that self-service BI tools usage increased by 22% between 2022 and 2023, with 76% of surveyed organizations planning to invest more in these technologies over the next two years.

Key Challenges:

• Rising data Privacy and Security Concerns: The use of augmented analytics raises significant data privacy and security issues, particularly with sensitive information. Ensuring robust protection and regulatory compliance can be complex and may deter adoption.
• Growing Skills Gap: Despite efforts to simplify analytics, there remains a need for skilled professionals to manage and interpret insights from augmented analytics tools. The shortage of qualified data scientists and analysts can limit effective implementation.
• Over-reliance on Automated Systems: Excessive dependence on automated analytics can reduce human oversight and critical thinking. This may lead to misinterpretation of data or failure to account for contextual nuances if not carefully managed.
• Growing data Quality Issues: Augmented analytics heavily relies on the quality of input data. Poor data quality or inconsistencies can lead to inaccurate or misleading insights, undermining the effectiveness of the analytics tools.
• Resistance to Change: Organizations may encounter resistance from employees accustomed to traditional analytics methods. Adopting augmented analytics requires a cultural shift and willingness to embrace new technologies and workflows.

Key Trends

• Increased Adoption of AI and Machine Learning: There is a growing trend towards integrating advanced AI and machine learning algorithms in augmented analytics platforms. This trend enhances predictive capabilities and automates complex data analysis, leading to more accurate and actionable insights. For instance, in March 2024, IBM announced the launch of its "Watson AutoAI" platform, which automates the entire machine learning pipeline from data preparation to model selection and deployment, significantly reducing the time and expertise required for implementing AI in analytics workflows.
• Growing expansion of Self-service Analytics Tools: The market is seeing a rise in self-service analytics tools that empower non-technical users to conduct their own data analyses. This trend is driven by the desire for more democratized access to insights and the ability for users to make data-driven decisions independently. The National Center for Education Statistics (NCES) reported in December 2023 that 65% of U.S. higher education institutions were offering courses or programs in data literacy and self-service analytics, up from 47% in 2021.
• Integration with Cloud Computing: Augmented analytics solutions are increasingly being deployed via cloud platforms, offering scalability, flexibility, and cost-efficiency. This trend allows organizations to leverage cloud resources for powerful analytics without heavy upfront investments in infrastructure. For instance, in April 2024, Microsoft Azure announced the general availability of its "Azure Synapse Analytics" service, which combines big data analytics and AI with cloud-native capabilities, enabling organizations to run analytics workloads seamlessly in the cloud.

Global Augmented Analytics Market Regional Analysis

Here is a more detailed regional analysis of the global Augmented Analytics Market:

Asia Pacific

• The Asia-Pacific region is emerging as a leading force in the augmented analytics market, leveraging its rapid technological advancements and large-scale digital transformation initiatives. This growth trajectory is driven by increasing investments in artificial intelligence and machine learning technologies across various sectors.
• Several factors contribute to this dominance, including the surge in data generation and the need for sophisticated data analysis tools. For instance, the Indian government's Ministry of Electronics and Information Technology has reported a significant rise in data usage and digital engagement, with an expected 25% increase in demand for advanced analytics solutions by 2025. Additionally, the rise of smart cities and the adoption of IoT technologies across countries like China and Japan further fuel the demand for augmented analytics.
• Recent developments from top market players underscore the region's importance. For example, in August 2024, SAP announced a major expansion of its analytics cloud services in Asia-Pacific, aiming to cater to the growing demand for advanced data analytics solutions. Similarly, Oracle has launched a new suite of AI-powered analytics tools tailored specifically for the APAC market, reflecting the region's increasing influence and the high level of innovation taking place. These moves are indicative of the Asia-Pacific region's central role in shaping the future of augmented analytics.

North America

• North America stands out as a mature market in augmented analytics, driven by its early adoption of advanced technologies and a robust ecosystem of technology firms. The region's dominance in this field is underpinned by its substantial investments in data analytics and artificial intelligence. According to the U.S. Census Bureau, the U.S. augmented analytics market is projected to reach $20 billion by the end of 2024, reflecting its established position and ongoing growth in this sector.
• Key drivers of North America's mature status include the extensive integration of augmented analytics tools across various industries such as finance, healthcare, and retail. The U.S. Bureau of Economic Analysis reported a 15% increase in enterprise spending on data analytics technologies in 2023, illustrating the strong demand for advanced analytics solutions. Additionally, the proliferation of big data and the increasing need for actionable insights to drive business decisions further fuel the market's expansion.

Global Augmented Analytics Market: Segmentation Analysis

The Global Augmented Analytics Market is segmented on the basis of Component, Deployment Mode, Organization Size, and Geography.

Augmented Analytics Market, By Component

• Software
• Services

Based on Component, the Global Augmented Analytics Market is a divided into Software and Services. In the augmented analytics market, the software segment is currently dominating, driven by the increasing adoption of advanced analytics tools and platforms that leverage AI and machine learning for data analysis and visualization. However, the services segment is experiencing rapid growth, reflecting a rising demand for consulting, implementation, and support services to help organizations effectively deploy and integrate augmented analytics solutions. This growing trend highlights the need for expert guidance in maximizing the value of these advanced tools.

Augmented Analytics Market, By Deployment Mode

• On-Premises
• Cloud-Based

Based on Deployment Mode, the Global Augmented Analytics Market is divided into On-Premises and Cloud-Based. In the augmented analytics market, the cloud-based deployment mode is currently dominating due to its scalability, flexibility, and cost-effectiveness, which align with the increasing preference for cloud solutions across various industries. However, the on-premises deployment mode is experiencing rapid growth, driven by organizations with stringent data security and regulatory requirements that necessitate more control over their analytics infrastructure. This growing segment reflects the ongoing need for robust and secure data management solutions in specific sectors.

Augmented Analytics Market, By Organization Size

• Small And Medium-Sized Enterprises (SMEs)
• Large Enterprise

Based on Organization Size, the market is divided into Small And Medium-Sized Enterprises (SMEs) and Large Enterprise. In the augmented analytics market, large enterprises are currently dominating, thanks to their substantial budgets and greater capacity to invest in advanced analytics technologies. However, the small and medium-sized enterprises (SMEs) segment is experiencing rapid growth, driven by the increasing availability of cost-effective, scalable solutions that cater to the needs of smaller organizations. This trend indicates a growing democratization of advanced analytics tools, making them more accessible to SMEs seeking to enhance their data-driven decision-making capabilities.

Augmented Analytics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the Global Augmented Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. In the augmented analytics market, North America is currently dominating, owing to its advanced technological infrastructure, high adoption rates of cutting-edge analytics solutions, and a strong presence of key market players. Meanwhile, the Asia Pacific region is rapidly growing, driven by increasing digital transformation initiatives, a burgeoning tech-savvy population, and expanding investments in analytics capabilities by businesses across various sectors. This dynamic growth in Asia Pacific underscores the region's rising prominence in the global augmented analytics landscape.

Key Players

The "Global Augmented Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Domo, Inc., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, QlikTech International AB, Salesforce, Inc., SAP SE, Sisense, Inc., ThoughtSpot, Inc., TIBCO Software, Inc. and Yellowfin International Pty Ltd (Idera, Inc.).

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In October 2022, Salesforce launched Einstein Analytics Pro, integrating augmented analytics features into its CRM platform. This release focuses on leveraging machine learning to deliver predictive insights and personalized recommendations to sales and marketing teams.
• In February 2021, SAS Institute introduced SAS Viya with augmented analytics functionalities. This platform aims to simplify data exploration and enhance decision-making through advanced AI and machine learning models.
• In November 2020, Tableau Software announced a new suite of augmented analytics tools within its Tableau CRM. The tools provide enhanced data visualization and automatic trend analysis, aiming to improve user experience and insight generation.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Augmented Analytics Market, By Component

• Software
• Services

5. Augmented Analytics Market, By Deployment Mode

• Cloud-Based
• On-Premises

6. Augmented Analytics Market, By Organization Size

• Small And Medium-Sized Enterprises (SMEs)
• Large Enterprises

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Domo, Inc.
• International Business Machines Corporation
• Microsoft Corporation
• Oracle Corporation
• QlikTech International AB
• Salesforce, Inc.
• SAP SE
• Sisense, Inc.
• ThoughtSpot, Inc.
• TIBCO Software, Inc.
• Yellowfin International Pty Ltd (Idera, Inc.).

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References