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市場調查報告書
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1847505

2025年全球分析領域生成式人工智慧市場報告

Generative AI In Analytics Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來,生成式人工智慧在分析領域的市場規模呈指數級成長,從2024年的13億美元成長到2025年的16.9億美元,複合年成長率達30.3%。預測期間的成長主要受資料量增加、深度學習演算法進步、運算能力提升、雲端運算基礎設施擴展以及巨量資料分析興起等因素驅動。

預計未來幾年,生成式人工智慧在分析領域的市場規模將呈指數級成長,到2029年將達到45.6億美元,複合年成長率(CAGR)為28.2%。預測期內的成長可歸因於物聯網設備的整合、可解釋人工智慧(XAI)的興起、聯邦學習技術的應用、人工智慧主導的業務流程自動化程度不斷提高,以及生成式人工智慧與自然語言處理(NLP)應用的整合。預測期內的關鍵趨勢包括生成式人工智慧工具的普及、對符合倫理的人工智慧開發的日益重視、生成對抗網路(GAN)的廣泛應用、人工智慧驅動的內容生成創意的興起,以及生成式人工智慧在醫療保健和生命科學領域的應用日益廣泛。

未來五年28.2%的預測成長率較我們先前對該市場的預測略微下降了0.5%。這一下降主要歸因於美國與其他國家之間的關稅影響。關稅導致先進資料儲存系統和分析處理單元價格上漲,可能會限制生成式人工智慧應用(尤其是即時商業智慧分析)的效率和成本效益。相互關稅以及日益加劇的貿易緊張局勢和限制措施對全球經濟和貿易的負面影響可能會更加廣泛。

預計在短期內,對人工智慧生成內容日益成長的需求將推動生成式人工智慧在分析領域的市場成長。人工智慧生成內容指的是利用人工智慧演算法和技術創建的數位內容,例如文字、圖像和影片。對人工智慧生成內容的需求不斷成長,源於其能夠有效地大規模提供個人化、相關的內容,從而提高用戶參與度並降低企業的製作成本。人工智慧生成的模型能夠分析大量資料集,識別模式、趨勢和洞察,這些可用於創建報導、報告和創新作品等內容。例如,美國商業軟體和人工智慧工具公司DOIT Software在2024年2月報告稱,其生成式人工智慧平台ChatGPT在2022年的預期用戶參與度為5700萬,預計到2023年1月將迅速成長至1億。對人工智慧生成內容需求的激增是支撐生成式人工智慧在分析領域市場成長的關鍵因素。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅,以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球生成式人工智慧在分析中的應用:PESTEL 分析(政治、社會、科技、環境、法律因素、促進因素和限制因素)
  • 終端用戶產業分析
  • 全球分析領域生成式人工智慧市場:成長率分析
  • 全球分析領域生成式人工智慧市場表現:規模與成長,2019-2024 年
  • 全球分析領域生成式人工智慧市場預測:規模與成長,2024-2029年,2034年
  • 全球分析領域生成式人工智慧:潛在市場規模 (TAM)

第6章 市場細分

  • 全球生成式人工智慧分析市場:依技術、效能和預測分類,2019-2024年、2024-2029年和2034年
  • 機器學習
  • 自然語言處理
  • 深度學習
  • 電腦視覺
  • 機器人流程自動化
  • 全球生成式人工智慧分析市場:依部署、效能和預測分類,2019-2024年、2024-2029年、2034年
  • 雲端基礎的
  • 本地部署
  • 全球生成式人工智慧分析市場:按應用、效能和預測分類,2019-2024年、2024-2029年、2034年
  • 數據增強
  • 異常檢測
  • 文字生成
  • 模擬與預測
  • 全球生成式人工智慧分析市場:機器學習細分市場,按類型分類,實際數據和預測數據,2019-2024年、2024-2029年、2034年
  • 監督式學習
  • 無監督學習
  • 強化學習
  • 半監督學習
  • 全球生成式人工智慧分析市場:自然語言處理 (NLP) 細分市場,按類型分類,實際數據和預測數據,2019-2024 年、2024-2029 年、2034 年
  • 文字生成
  • 情緒分析
  • 語言翻譯
  • 語音辨識
  • 全球生成式人工智慧分析市場:深度學習細分市場,按類型分類,實際數據和預測數據,2019-2024年、2024-2029年、2034年
  • 神經網路
  • 卷積類神經網路(CNN)
  • 循環神經網路(RNN)
  • 生成對抗網路(GAN)
  • 全球生成式人工智慧分析市場:電腦視覺細分市場,按類型分類,實際數據和預測數據,2019-2024年、2024-2029年、2034年
  • 影像分類
  • 目標偵測
  • 影像生成
  • 臉部辨識
  • 全球生成式人工智慧分析市場:機器人流程自動化 (RPA) 細分市場,按類型分類,實際數據和預測數據,2019-2024 年、2024-2029 年、2034 年
  • 工作流程自動化
  • 智慧流程自動化
  • 認知自動化
  • 聊天機器人整合

第7章 區域和國家分析

  • 全球分析領域生成式人工智慧市場:按地區、效能和預測分類,2019-2024年、2024-2029年和2034年
  • 全球分析領域生成式人工智慧市場:按國家/地區、效能和預測分類,2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章:澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章:德國市場

第18章:法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章:競爭格局與公司概況

  • 分析領域生成式人工智慧市場:競爭格局
  • 分析領域的生成式人工智慧市場:公司概況
    • Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他領先和創新企業

  • Siemens AG
  • Accenture PLC
  • International Business Machines Corporation(IBM)
  • Oracle Corporation
  • SAP SE
  • NVIDIA Corporation
  • Adobe Inc.
  • Block Inc.
  • Automatic Data Processing Inc.
  • ServiceNow Inc.
  • Workday Inc.
  • Atlassian Corporation
  • Slack Technologies Inc.
  • OpenAI
  • MongoDB Inc.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章:高潛力市場國家、細分市場與策略

  • 2029年分析領域生成式人工智慧市場:提供新機會的國家
  • 2029年分析市場中的生成式人工智慧:提供新機會的細分領域
  • 2029年分析領域生成式人工智慧市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r28147u

Generative AI in analytics encompasses a specialized domain within artificial intelligence aimed at developing models and algorithms capable of generating fresh and insightful data, analyses, or content by leveraging patterns and existing datasets. This approach harnesses data-driven insights to fuel innovation, streamline decision-making processes, and unveil latent patterns that may elude traditional analytical methods.

The primary technologies underpinning generative AI in analytics include machine learning, natural language processing, deep learning, computer vision, and robotic process automation. Machine learning, a core component, empowers computers to learn from data and enhance their performance on specific tasks without explicit programming. These technologies operate across cloud-based and on-premise platforms, serving diverse applications such as data augmentation, anomaly detection, text generation, simulation, and forecasting.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The generative AI in analytics market research report is one of a series of new reports from The Business Research Company that provides generative AI in analytics market statistics, including generative AI in analytics industry global market size, regional shares, competitors with a generative AI in analytics market share, detailed generative AI in analytics market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in analytics industry. This generative AI in analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative ai in analytics market size has grown exponentially in recent years. It will grow from $1.3 billion in 2024 to $1.69 billion in 2025 at a compound annual growth rate (CAGR) of 30.3%. The growth in the historic period can be attributed to growing data volumes, advancements in deep learning algorithms, increased computational power, expansion of cloud computing infrastructure, rise of big data analytics.

The generative ai in analytics market size is expected to see exponential growth in the next few years. It will grow to $4.56 billion in 2029 at a compound annual growth rate (CAGR) of 28.2%. The growth in the forecast period can be attributed to integration with IoT devices, emergence of explainable AI (XAI), adoption of federated learning techniques, expansion of AI-driven automation in business processes, integration of generative AI with natural language processing (NLP) applications. Major trends in the forecast period include democratization of generative AI tools, increased focus on ethical AI development, proliferation of generative adversarial networks (GANs), rise of AI-augmented creativity in content generation, expansion of generative AI applications in healthcare and life sciences.

The forecast of 28.2% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff-induced price hikes on advanced data storage systems and analytic processing units may limit the efficiency and cost-effectiveness of Generative AI in Analytics applications, especially for real-time business intelligence. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing demand for AI-generated content is anticipated to drive the growth of the generative AI in analytics market in the foreseeable future. AI-generated content refers to digital content, including text, images, or videos, that is produced using artificial intelligence algorithms and technologies. This rising demand for AI-generated content is fueled by its capacity to efficiently deliver personalized and relevant content on a large scale, thereby enhancing user engagement and reducing production costs for businesses. Generative AI models are capable of analyzing extensive datasets to identify patterns, trends, and insights that can be leveraged to create content such as articles, reports, and creative works. For example, in February 2024, DOIT Software, a US-based company specializing in business software and AI tools, reported that the generative AI platform ChatGPT had an estimated engagement of 57 million individuals in 2022, which surged to 100 million by January 2023. This surge in demand for AI-generated content is a key driver behind the growth of the generative AI in analytics market.

Leading companies in the generative AI in analytics market are actively innovating technologies, such as artificial intelligence-based video analytics, to maintain their competitive edge. An artificial intelligence-based video analytics application is a software solution that utilizes machine learning and deep learning algorithms to analyze video data and derive actionable insights and conclusions. For instance, in September 2022, Dallmeier Electronic GmbH & Co. KG, a Germany-based company specializing in video security technology solutions, introduced Sedor AI, an artificial intelligence-based video analytics tool tailored for maritime applications. Sedor AI is designed to identify vessels on unobstructed water surfaces under typical conditions, as well as challenging environmental factors like waves and water reflections. This software solution complies with legal requirements such as the ISPS (International Ship and Port Facility Security) Code and assists port operators and refineries in mitigating risks like illegal entry from the waterside, piracy, and potential terrorist threats.

In March 2024, Databricks Inc., a US-based artificial intelligence company, completed the acquisition of Lilac AI for an undisclosed sum. This strategic acquisition by Databricks aims to streamline the evaluation of unstructured data for generative AI applications. Lilac AI offers a scalable and user-friendly tool for data scientists to search, cluster, and analyze text datasets with a focus on generative AI. Lilac AI, a US-based startup specializing in scalable tools for text data analysis in generative AI, provides valuable capabilities for exploring, clustering, and analyzing various types of text datasets, further enhancing Databricks' offerings in the AI space.

Major companies operating in the generative AI in analytics market report are Amazon Inc.; Apple Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; Accenture PLC; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; NVIDIA Corporation; Adobe Inc.; Block Inc.; Automatic Data Processing Inc.; ServiceNow Inc.; Workday Inc.; Atlassian Corporation; Slack Technologies Inc.; OpenAI; MongoDB Inc.; Box Inc.; SG Analytics Pvt. Ltd.; Decimal Point Analytics Pvt; Gramener Inc.; Anthropic PBC; Valiance Solutions Inc.

North America was the largest region in the generative AI in analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative AI in analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in analytics market consists of revenues earned by providing services such as predictive modeling, anomaly detection, and data synthesis. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in analytics market also includes sales of high-performance computing (HPC) systems, specialized processors such as graphical processing units (GPUs) or tensor processing units (TPUs). Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative AI In Analytics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative ai in analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for generative ai in analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative ai in analytics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Technology: Machine Learning; Natural Language Processing; Deep Learning; Computer Vision; Robotic Process Automation
  • 2) By Deployment: Cloud-Based; On-Premise
  • 3) By Application: Data Augmentation; Anomaly Detection; Text Generation; Simulation And Forecasting
  • Subsegments:
  • 1) By Machine Learning: Supervised Learning; Unsupervised Learning; Reinforcement Learning; Semi-Supervised Learning
  • 2) By Natural Language Processing (NLP): Text Generation; Sentiment Analysis; Language Translation; Speech Recognition
  • 3) By Deep Learning: Neural Networks; Convolutional Neural Networks (CNN); Recurrent Neural Networks (RNN); Generative Adversarial Networks (Gans)
  • 4) By Computer Vision: Image Classification; Object Detection; Image Generation; Facial Recognition
  • 5) By Robotic Process Automation (RPA): Workflow Automation; Intelligent Process Automation; Cognitive Automation; Chatbot Integration
  • Companies Mentioned: Amazon Inc.; Apple Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; Accenture PLC; International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; NVIDIA Corporation; Adobe Inc.; Block Inc.; Automatic Data Processing Inc.; ServiceNow Inc.; Workday Inc.; Atlassian Corporation; Slack Technologies Inc.; OpenAI; MongoDB Inc.; Box Inc.; SG Analytics Pvt. Ltd.; Decimal Point Analytics Pvt; Gramener Inc.; Anthropic PBC; Valiance Solutions Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Generative AI In Analytics Market Characteristics

3. Generative AI In Analytics Market Trends And Strategies

4. Generative AI In Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Generative AI In Analytics Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Generative AI In Analytics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Generative AI In Analytics Market Growth Rate Analysis
  • 5.4. Global Generative AI In Analytics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Generative AI In Analytics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Generative AI In Analytics Total Addressable Market (TAM)

6. Generative AI In Analytics Market Segmentation

  • 6.1. Global Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Robotic Process Automation
  • 6.2. Global Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premise
  • 6.3. Global Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Augmentation
  • Anomaly Detection
  • Text Generation
  • Simulation And Forecasting
  • 6.4. Global Generative AI In Analytics Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Semi-Supervised Learning
  • 6.5. Global Generative AI In Analytics Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Text Generation
  • Sentiment Analysis
  • Language Translation
  • Speech Recognition
  • 6.6. Global Generative AI In Analytics Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Neural Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Generative Adversarial Networks (Gans)
  • 6.7. Global Generative AI In Analytics Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image Classification
  • Object Detection
  • Image Generation
  • Facial Recognition
  • 6.8. Global Generative AI In Analytics Market, Sub-Segmentation Of Robotic Process Automation (RPA), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Workflow Automation
  • Intelligent Process Automation
  • Cognitive Automation
  • Chatbot Integration

7. Generative AI In Analytics Market Regional And Country Analysis

  • 7.1. Global Generative AI In Analytics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative AI In Analytics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative AI In Analytics Market

  • 8.1. Asia-Pacific Generative AI In Analytics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative AI In Analytics Market

  • 9.1. China Generative AI In Analytics Market Overview
  • 9.2. China Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative AI In Analytics Market

  • 10.1. India Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative AI In Analytics Market

  • 11.1. Japan Generative AI In Analytics Market Overview
  • 11.2. Japan Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative AI In Analytics Market

  • 12.1. Australia Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative AI In Analytics Market

  • 13.1. Indonesia Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative AI In Analytics Market

  • 14.1. South Korea Generative AI In Analytics Market Overview
  • 14.2. South Korea Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative AI In Analytics Market

  • 15.1. Western Europe Generative AI In Analytics Market Overview
  • 15.2. Western Europe Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative AI In Analytics Market

  • 16.1. UK Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative AI In Analytics Market

  • 17.1. Germany Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative AI In Analytics Market

  • 18.1. France Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative AI In Analytics Market

  • 19.1. Italy Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative AI In Analytics Market

  • 20.1. Spain Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative AI In Analytics Market

  • 21.1. Eastern Europe Generative AI In Analytics Market Overview
  • 21.2. Eastern Europe Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative AI In Analytics Market

  • 22.1. Russia Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative AI In Analytics Market

  • 23.1. North America Generative AI In Analytics Market Overview
  • 23.2. North America Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative AI In Analytics Market

  • 24.1. USA Generative AI In Analytics Market Overview
  • 24.2. USA Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative AI In Analytics Market

  • 25.1. Canada Generative AI In Analytics Market Overview
  • 25.2. Canada Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative AI In Analytics Market

  • 26.1. South America Generative AI In Analytics Market Overview
  • 26.2. South America Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative AI In Analytics Market

  • 27.1. Brazil Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative AI In Analytics Market

  • 28.1. Middle East Generative AI In Analytics Market Overview
  • 28.2. Middle East Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative AI In Analytics Market

  • 29.1. Africa Generative AI In Analytics Market Overview
  • 29.2. Africa Generative AI In Analytics Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative AI In Analytics Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative AI In Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative AI In Analytics Market Competitive Landscape And Company Profiles

  • 30.1. Generative AI In Analytics Market Competitive Landscape
  • 30.2. Generative AI In Analytics Market Company Profiles
    • 30.2.1. Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Generative AI In Analytics Market Other Major And Innovative Companies

  • 31.1. Siemens AG
  • 31.2. Accenture PLC
  • 31.3. International Business Machines Corporation (IBM)
  • 31.4. Oracle Corporation
  • 31.5. SAP SE
  • 31.6. NVIDIA Corporation
  • 31.7. Adobe Inc.
  • 31.8. Block Inc.
  • 31.9. Automatic Data Processing Inc.
  • 31.10. ServiceNow Inc.
  • 31.11. Workday Inc.
  • 31.12. Atlassian Corporation
  • 31.13. Slack Technologies Inc.
  • 31.14. OpenAI
  • 31.15. MongoDB Inc.

32. Global Generative AI In Analytics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative AI In Analytics Market

34. Recent Developments In The Generative AI In Analytics Market

35. Generative AI In Analytics Market High Potential Countries, Segments and Strategies

  • 35.1 Generative AI In Analytics Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative AI In Analytics Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative AI In Analytics Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer