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市場調查報告書
商品編碼
1513411

商業市場中的人工智慧和機器學習：按組成部分、公司規模、應用、產業：2023-2032 年全球機會分析和產業預測

AI and Machine Learning in Business Market By Component, By Enterprise Size, By Application, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2023-2032
出版日期: | 出版商: Allied Market Research | 英文 304 Pages | 商品交期: 2-3個工作天內

價格

2022年，全球商業人工智慧和機器學習市場規模達1,209億美元。

據預測，2032年將增加至1,905億美元，2023年至2032年複合年成長率為32%。商業市場中的人工智慧和機器學習涉及利用人工智慧和機器學習技術來增強和自動化各種業務業務和功能。這個市場包括廣泛的活動，包括客戶服務、行銷、銷售、財務、業務和人力資源。透過利用人工智慧和機器學習技術，公司可以分析龐大的資料集，識別模式和趨勢，做出預測，並自動執行傳統上需要人工干預的任務。此外，企業產生的資料爆炸性成長，推動了對先進分析工具的需求，以獲得有價值的見解，進一步推動人工智慧和機器學習在商業中的採用。這種採用為公司帶來了效率提高、成本降低和市場競爭優勢，而人工智慧和機器學習技術的持續進步預計將推動市場進一步成長。

商業市場中的人工智慧和機器學習-IMG1

此外，人工智慧和機器學習市場在商業領域的擴張是由人工智慧聊天機器人用於客戶服務、預測分析用於決策目的的增加以及網路安全來識別和解決威脅所推動的。此外，人工智慧和機器學習與業務流程的無縫整合，加上各行業向人工智慧主導的自動化和效率的轉變，正在推動商業領域的市場成長。

旨在降低成本、提高效率和推動數位轉型的措施激增，是商業市場中人工智慧和機器學習成長的關鍵驅動力。然而，與降低成本和效率相關的挑戰可能會阻礙市場成長。相反，人工智慧和機器學習技術的進步預計將在預測期內為市場擴張帶來利潤豐厚的機會。

商業人工智慧和機器學習的全球市場根據組件、應用程式、公司規模、最終用戶和地區進行細分。按組成部分，市場分為解決方案和服務。依應用範圍分為預測分析、資料分析、供應鏈和庫存管理等。依公司規模，公司分為大型公司和中小企業。依最終用戶分為零售、IT/通訊、製造/物流、金融服務、能源（石油/天然氣）、醫療保健等。從區域來看，分析包括北美、歐洲、亞太地區、拉丁美洲和中東/非洲。

從組成部分來看，解決方案領域在 2022 年商業市場中的人工智慧和機器學習領域佔據主導地位，預計在未來幾年也將保持其主導地位。這是因為它能夠幫助企業簡化業務、增強決策程序並提高整體效率。為了在快速變化的技術市場中保持競爭力，公司擴大轉向這些解決方案，這極大地推動了市場成長。然而，隨著全球商業人工智慧和機器學習市場產生的資料可以用來最佳化業務、獲得有價值的見解並做出預計將實現最高成長的明智決策，服務業正在不斷成長。

參與市場的主要企業包括阿里巴巴、微軟、亞馬遜、Google、IBM、百度、騰訊、Nvidia、英特爾、Salesforce等。該報告重點介紹了主要企業增加市場佔有率和保持競爭力的策略。

相關人員的主要利益

  • 本報告提供了商業市場分析中的人工智慧和機器學習細分市場、當前趨勢、估計和趨勢、2022年至2032年的動態，並提供了商業市場分析中的人工智慧和機器學習的定量分析。
  • 我們提供市場研究以及與關鍵促進因素、限制因素和機會相關的資訊。
  • 波特的五力分析強調買家和供應商幫助相關人員做出利潤驅動的商業決策並加強供應商-買家網路的潛力。
  • 對商業人工智慧和機器學習市場細分的詳細分析有助於識別市場機會。
  • 每個地區的主要國家都根據其對全球市場的收益貢獻繪製了地圖。
  • 市場參與者定位有助於基準化分析，並提供對市場參與者當前位置的清晰了解。
  • 該報告包括對區域和全球商業人工智慧和機器學習市場趨勢、主要企業、細分市場、應用領域和市場成長策略的分析。

可使用此報告進行客製化（需要額外費用和時間表）

  • 新參與企業：按地區
  • 玩家市場佔有率分析：依產品/細分市場
  • 監管指引
  • 策略建議
  • 針對客戶興趣的其他公司簡介
  • 公司簡介的擴充列表
  • 歷史市場資料
  • 主要企業詳細資料（Excel 格式，包括位置、聯絡資訊、供應商/供應商網路等）
  • 全球/區域/國家層級參與者的市場佔有率分析
  • SWOT分析

目錄

第1章簡介

第 2 章執行摘要

第3章市場概況

  • 市場定義和範圍
  • 主要發現
    • 主要影響因素
    • 關鍵投資機會
  • 波特五力分析
  • 市場動態
    • 促進因素
    • 抑制因素
    • 機會

第 4 章商業中的人工智慧和機器學習市場：按組成部分

  • 概述
  • 解決方案
  • 服務

第5章商業人工智慧與機器學習市場：依公司規模

  • 概述
  • 主要企業
  • 中小企業

第6章商業中的人工智慧和機器學習市場：按應用分類

  • 概述
  • 資料分析
  • 預測分析
  • 網路安全
  • 供應鏈/庫存管理
  • 其他

第7章商業中的人工智慧和機器學習市場：按行業

  • 概述
  • BFSI
  • 資訊科技/通訊
  • 零售
  • 製造/物流
  • 能源/公共產業
  • 衛生保健
  • 其他

第 8 章：商業市場中的人工智慧和機器學習：按地區

  • 概述
  • 北美洲
    • 美國
    • 墨西哥
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國
    • 其他
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 其他拉丁美洲
  • 中東/非洲
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國
    • 其他中東/非洲

第9章 競爭格局

  • 介紹
  • 關鍵成功策略
  • 10家主要企業產品圖譜
  • 競爭對手儀表板
  • 競爭熱圖
  • 2022年主要企業定位

第10章 公司簡介

  • Alibaba
  • Microsoft Corporation
  • Amazon
  • Alphabet Inc.（Google LLC）
  • IBM
  • Baidu
  • Tencent
  • Nvidia
  • Intel Corporation.
  • Salesforce Inc.
Product Code: A323199

In 2022, the global AI and machine learning in business market attained a value of $120.9 billion. Forecasts indicate that by 2032, it will rise to $190.5 billion, with a CAGR of 32% from 2023 to 2032. The AI and machine learning in business market pertains to the utilization of artificial intelligence and machine learning technologies to enhance and automate various business operations and functions. This market encompasses a broad spectrum of activities, including customer service, marketing, sales, finance, operations, and human resources. By leveraging AI and machine learning technologies, businesses can analyze extensive datasets, identify patterns and trends, make forecasts, and automate tasks that traditionally require human intervention. Moreover, the proliferation of data generated by businesses has spurred the demand for advanced analytics tools to extract valuable insights, further driving the adoption of AI and machine learning in business operations. This adoption has led to improved efficiency, cost savings, and competitive advantages for businesses, with the continuous advancement of AI and machine learning technologies expected to fuel further market growth.

AI and Machine Learning in Business Market - IMG1

Additionally, the expansion of the AI and machine learning in business market is attributed to the uptake of AI-powered chatbots for customer service, the increasing utilization of predictive analytics for decision-making purposes, and the integration of AI operations into cybersecurity to identify and address threats. Moreover, the seamless integration of AI and machine learning into business processes, coupled with a shift toward AI-driven automation and efficiency across various industries, is driving market growth within the business sector.

The surge in initiatives aimed at reducing costs, enhancing efficiency, and driving digital transformation initiatives serves as the primary driver for the growth of the AI and machine learning in business market. However, challenges related to cost reduction and efficiency may impede market growth. Conversely, advancements in AI and machine learning technologies are expected to present lucrative opportunities for market expansion during the forecast period.

The global AI and machine learning in business market is segmented on the basis of component, application, enterprise size, end user, and region. On the basis of component, the market is divided into solutions and services. Depending on application, it is divided into predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented into large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided into retail, IT and telecom, manufacturing & logistics, financial services, energy sector (oil & gas), healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.

On the basis of component, the solution segment dominated the AI and machine learning in business market in 2022 and is expected to maintain its dominance in the upcoming years, owing to its ability to help businesses in streamlining their operation, enhancing decision-making procedures, and increasing the overall efficiency. Companies are using these solutions more frequently in order to maintain their competitiveness in the quickly changing technological market, which propels the market growth significantly. However, the services segment is expected to witness the highest growth, as it helps organizations leverage the data generated by the global AI and machine learning in business market to optimize their operations, gain valuable insights, and make informed decisions.

The key players operating in the market include Alibaba, Microsoft, Amazon, Google, IBM, Baidu, Tencent, Nvidia, Intel, and Salesforce. The report highlights the strategies of the key players to improve the market share and sustain competition.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai and machine learning in business market analysis from 2022 to 2032 to identify the prevailing ai and machine learning in business market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the ai and machine learning in business market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global ai and machine learning in business market trends, key players, market segments, application areas, and market growth strategies.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
  • Free Updated report if the report is 6-12 months old or older.
  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Upcoming/New Entrant by Regions
  • Market share analysis of players by products/segments
  • Regulatory Guidelines
  • Strategic Recommendations
  • Additional company profiles with specific to client's interest
  • Expanded list for Company Profiles
  • Historic market data
  • Key player details (including location, contact details, supplier/vendor network etc. in excel format)
  • Market share analysis of players at global/region/country level
  • SWOT Analysis

Key Market Segments

By Component

  • Solution
  • Services

By Enterprise Size

  • Large Enterprise
  • Small and Middle-sized Enterprise

By Application

  • Predictive Analytics
  • Cyber Security
  • Supply Chain and Inventory Management
  • Others
  • Data Analytics

By Industry Vertical

  • BFSI
  • IT and Telecom
  • Retail
  • Manufacturing and logistics
  • Energy sector and Utilities
  • Healthcare
  • Others

By Region

  • North America
    • U.S.
    • Mexico
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Argentina
    • Colombia
    • Rest of Latin America
  • Middle East and Africa
    • Saudi Arabia
    • South Africa
    • UAE
    • Rest of Middle East And Africa

Key Market Players:

    • Alibaba
    • Microsoft Corporation
    • Amazon
    • Alphabet Inc. (Google LLC)
    • IBM
    • Baidu
    • Tencent
    • Nvidia
    • Intel Corporation.
    • Salesforce Inc.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report description
  • 1.2. Key market segments
  • 1.3. Key benefits to the stakeholders
  • 1.4. Research methodology
    • 1.4.1. Primary research
    • 1.4.2. Secondary research
    • 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
  • 3.3. Porter's five forces analysis
  • 3.4. Market dynamics
    • 3.4.1. Drivers
    • 3.4.2. Restraints
    • 3.4.3. Opportunities

CHAPTER 4: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT

  • 4.1. Overview
    • 4.1.1. Market size and forecast
  • 4.2. Solution
    • 4.2.1. Key market trends, growth factors and opportunities
    • 4.2.2. Market size and forecast, by region
    • 4.2.3. Market share analysis by country
  • 4.3. Services
    • 4.3.1. Key market trends, growth factors and opportunities
    • 4.3.2. Market size and forecast, by region
    • 4.3.3. Market share analysis by country

CHAPTER 5: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE

  • 5.1. Overview
    • 5.1.1. Market size and forecast
  • 5.2. Large Enterprise
    • 5.2.1. Key market trends, growth factors and opportunities
    • 5.2.2. Market size and forecast, by region
    • 5.2.3. Market share analysis by country
  • 5.3. Small and Middle-sized Enterprise
    • 5.3.1. Key market trends, growth factors and opportunities
    • 5.3.2. Market size and forecast, by region
    • 5.3.3. Market share analysis by country

CHAPTER 6: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION

  • 6.1. Overview
    • 6.1.1. Market size and forecast
  • 6.2. Data Analytics
    • 6.2.1. Key market trends, growth factors and opportunities
    • 6.2.2. Market size and forecast, by region
    • 6.2.3. Market share analysis by country
  • 6.3. Predictive Analytics
    • 6.3.1. Key market trends, growth factors and opportunities
    • 6.3.2. Market size and forecast, by region
    • 6.3.3. Market share analysis by country
  • 6.4. Cyber Security
    • 6.4.1. Key market trends, growth factors and opportunities
    • 6.4.2. Market size and forecast, by region
    • 6.4.3. Market share analysis by country
  • 6.5. Supply Chain and Inventory Management
    • 6.5.1. Key market trends, growth factors and opportunities
    • 6.5.2. Market size and forecast, by region
    • 6.5.3. Market share analysis by country
  • 6.6. Others
    • 6.6.1. Key market trends, growth factors and opportunities
    • 6.6.2. Market size and forecast, by region
    • 6.6.3. Market share analysis by country

CHAPTER 7: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL

  • 7.1. Overview
    • 7.1.1. Market size and forecast
  • 7.2. BFSI
    • 7.2.1. Key market trends, growth factors and opportunities
    • 7.2.2. Market size and forecast, by region
    • 7.2.3. Market share analysis by country
  • 7.3. IT and Telecom
    • 7.3.1. Key market trends, growth factors and opportunities
    • 7.3.2. Market size and forecast, by region
    • 7.3.3. Market share analysis by country
  • 7.4. Retail
    • 7.4.1. Key market trends, growth factors and opportunities
    • 7.4.2. Market size and forecast, by region
    • 7.4.3. Market share analysis by country
  • 7.5. Manufacturing and logistics
    • 7.5.1. Key market trends, growth factors and opportunities
    • 7.5.2. Market size and forecast, by region
    • 7.5.3. Market share analysis by country
  • 7.6. Energy sector and Utilities
    • 7.6.1. Key market trends, growth factors and opportunities
    • 7.6.2. Market size and forecast, by region
    • 7.6.3. Market share analysis by country
  • 7.7. Healthcare
    • 7.7.1. Key market trends, growth factors and opportunities
    • 7.7.2. Market size and forecast, by region
    • 7.7.3. Market share analysis by country
  • 7.8. Others
    • 7.8.1. Key market trends, growth factors and opportunities
    • 7.8.2. Market size and forecast, by region
    • 7.8.3. Market share analysis by country

CHAPTER 8: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY REGION

  • 8.1. Overview
    • 8.1.1. Market size and forecast By Region
  • 8.2. North America
    • 8.2.1. Key market trends, growth factors and opportunities
    • 8.2.2. Market size and forecast, by Component
    • 8.2.3. Market size and forecast, by Enterprise Size
    • 8.2.4. Market size and forecast, by Application
    • 8.2.5. Market size and forecast, by Industry Vertical
    • 8.2.6. Market size and forecast, by country
      • 8.2.6.1. U.S.
      • 8.2.6.1.1. Market size and forecast, by Component
      • 8.2.6.1.2. Market size and forecast, by Enterprise Size
      • 8.2.6.1.3. Market size and forecast, by Application
      • 8.2.6.1.4. Market size and forecast, by Industry Vertical
      • 8.2.6.2. Mexico
      • 8.2.6.2.1. Market size and forecast, by Component
      • 8.2.6.2.2. Market size and forecast, by Enterprise Size
      • 8.2.6.2.3. Market size and forecast, by Application
      • 8.2.6.2.4. Market size and forecast, by Industry Vertical
      • 8.2.6.3. Canada
      • 8.2.6.3.1. Market size and forecast, by Component
      • 8.2.6.3.2. Market size and forecast, by Enterprise Size
      • 8.2.6.3.3. Market size and forecast, by Application
      • 8.2.6.3.4. Market size and forecast, by Industry Vertical
  • 8.3. Europe
    • 8.3.1. Key market trends, growth factors and opportunities
    • 8.3.2. Market size and forecast, by Component
    • 8.3.3. Market size and forecast, by Enterprise Size
    • 8.3.4. Market size and forecast, by Application
    • 8.3.5. Market size and forecast, by Industry Vertical
    • 8.3.6. Market size and forecast, by country
      • 8.3.6.1. UK
      • 8.3.6.1.1. Market size and forecast, by Component
      • 8.3.6.1.2. Market size and forecast, by Enterprise Size
      • 8.3.6.1.3. Market size and forecast, by Application
      • 8.3.6.1.4. Market size and forecast, by Industry Vertical
      • 8.3.6.2. Germany
      • 8.3.6.2.1. Market size and forecast, by Component
      • 8.3.6.2.2. Market size and forecast, by Enterprise Size
      • 8.3.6.2.3. Market size and forecast, by Application
      • 8.3.6.2.4. Market size and forecast, by Industry Vertical
      • 8.3.6.3. France
      • 8.3.6.3.1. Market size and forecast, by Component
      • 8.3.6.3.2. Market size and forecast, by Enterprise Size
      • 8.3.6.3.3. Market size and forecast, by Application
      • 8.3.6.3.4. Market size and forecast, by Industry Vertical
      • 8.3.6.4. Italy
      • 8.3.6.4.1. Market size and forecast, by Component
      • 8.3.6.4.2. Market size and forecast, by Enterprise Size
      • 8.3.6.4.3. Market size and forecast, by Application
      • 8.3.6.4.4. Market size and forecast, by Industry Vertical
      • 8.3.6.5. Spain
      • 8.3.6.5.1. Market size and forecast, by Component
      • 8.3.6.5.2. Market size and forecast, by Enterprise Size
      • 8.3.6.5.3. Market size and forecast, by Application
      • 8.3.6.5.4. Market size and forecast, by Industry Vertical
      • 8.3.6.6. Rest of Europe
      • 8.3.6.6.1. Market size and forecast, by Component
      • 8.3.6.6.2. Market size and forecast, by Enterprise Size
      • 8.3.6.6.3. Market size and forecast, by Application
      • 8.3.6.6.4. Market size and forecast, by Industry Vertical
  • 8.4. Asia-Pacific
    • 8.4.1. Key market trends, growth factors and opportunities
    • 8.4.2. Market size and forecast, by Component
    • 8.4.3. Market size and forecast, by Enterprise Size
    • 8.4.4. Market size and forecast, by Application
    • 8.4.5. Market size and forecast, by Industry Vertical
    • 8.4.6. Market size and forecast, by country
      • 8.4.6.1. China
      • 8.4.6.1.1. Market size and forecast, by Component
      • 8.4.6.1.2. Market size and forecast, by Enterprise Size
      • 8.4.6.1.3. Market size and forecast, by Application
      • 8.4.6.1.4. Market size and forecast, by Industry Vertical
      • 8.4.6.2. Japan
      • 8.4.6.2.1. Market size and forecast, by Component
      • 8.4.6.2.2. Market size and forecast, by Enterprise Size
      • 8.4.6.2.3. Market size and forecast, by Application
      • 8.4.6.2.4. Market size and forecast, by Industry Vertical
      • 8.4.6.3. India
      • 8.4.6.3.1. Market size and forecast, by Component
      • 8.4.6.3.2. Market size and forecast, by Enterprise Size
      • 8.4.6.3.3. Market size and forecast, by Application
      • 8.4.6.3.4. Market size and forecast, by Industry Vertical
      • 8.4.6.4. Australia
      • 8.4.6.4.1. Market size and forecast, by Component
      • 8.4.6.4.2. Market size and forecast, by Enterprise Size
      • 8.4.6.4.3. Market size and forecast, by Application
      • 8.4.6.4.4. Market size and forecast, by Industry Vertical
      • 8.4.6.5. South Korea
      • 8.4.6.5.1. Market size and forecast, by Component
      • 8.4.6.5.2. Market size and forecast, by Enterprise Size
      • 8.4.6.5.3. Market size and forecast, by Application
      • 8.4.6.5.4. Market size and forecast, by Industry Vertical
      • 8.4.6.6. Rest of Asia-Pacific
      • 8.4.6.6.1. Market size and forecast, by Component
      • 8.4.6.6.2. Market size and forecast, by Enterprise Size
      • 8.4.6.6.3. Market size and forecast, by Application
      • 8.4.6.6.4. Market size and forecast, by Industry Vertical
  • 8.5. Latin America
    • 8.5.1. Key market trends, growth factors and opportunities
    • 8.5.2. Market size and forecast, by Component
    • 8.5.3. Market size and forecast, by Enterprise Size
    • 8.5.4. Market size and forecast, by Application
    • 8.5.5. Market size and forecast, by Industry Vertical
    • 8.5.6. Market size and forecast, by country
      • 8.5.6.1. Brazil
      • 8.5.6.1.1. Market size and forecast, by Component
      • 8.5.6.1.2. Market size and forecast, by Enterprise Size
      • 8.5.6.1.3. Market size and forecast, by Application
      • 8.5.6.1.4. Market size and forecast, by Industry Vertical
      • 8.5.6.2. Argentina
      • 8.5.6.2.1. Market size and forecast, by Component
      • 8.5.6.2.2. Market size and forecast, by Enterprise Size
      • 8.5.6.2.3. Market size and forecast, by Application
      • 8.5.6.2.4. Market size and forecast, by Industry Vertical
      • 8.5.6.3. Colombia
      • 8.5.6.3.1. Market size and forecast, by Component
      • 8.5.6.3.2. Market size and forecast, by Enterprise Size
      • 8.5.6.3.3. Market size and forecast, by Application
      • 8.5.6.3.4. Market size and forecast, by Industry Vertical
      • 8.5.6.4. Rest of Latin America
      • 8.5.6.4.1. Market size and forecast, by Component
      • 8.5.6.4.2. Market size and forecast, by Enterprise Size
      • 8.5.6.4.3. Market size and forecast, by Application
      • 8.5.6.4.4. Market size and forecast, by Industry Vertical
  • 8.6. Middle East and Africa
    • 8.6.1. Key market trends, growth factors and opportunities
    • 8.6.2. Market size and forecast, by Component
    • 8.6.3. Market size and forecast, by Enterprise Size
    • 8.6.4. Market size and forecast, by Application
    • 8.6.5. Market size and forecast, by Industry Vertical
    • 8.6.6. Market size and forecast, by country
      • 8.6.6.1. Saudi Arabia
      • 8.6.6.1.1. Market size and forecast, by Component
      • 8.6.6.1.2. Market size and forecast, by Enterprise Size
      • 8.6.6.1.3. Market size and forecast, by Application
      • 8.6.6.1.4. Market size and forecast, by Industry Vertical
      • 8.6.6.2. South Africa
      • 8.6.6.2.1. Market size and forecast, by Component
      • 8.6.6.2.2. Market size and forecast, by Enterprise Size
      • 8.6.6.2.3. Market size and forecast, by Application
      • 8.6.6.2.4. Market size and forecast, by Industry Vertical
      • 8.6.6.3. UAE
      • 8.6.6.3.1. Market size and forecast, by Component
      • 8.6.6.3.2. Market size and forecast, by Enterprise Size
      • 8.6.6.3.3. Market size and forecast, by Application
      • 8.6.6.3.4. Market size and forecast, by Industry Vertical
      • 8.6.6.4. Rest of Middle East And Africa
      • 8.6.6.4.1. Market size and forecast, by Component
      • 8.6.6.4.2. Market size and forecast, by Enterprise Size
      • 8.6.6.4.3. Market size and forecast, by Application
      • 8.6.6.4.4. Market size and forecast, by Industry Vertical

CHAPTER 9: COMPETITIVE LANDSCAPE

  • 9.1. Introduction
  • 9.2. Top winning strategies
  • 9.3. Product mapping of top 10 player
  • 9.4. Competitive dashboard
  • 9.5. Competitive heatmap
  • 9.6. Top player positioning, 2022

CHAPTER 10: COMPANY PROFILES

  • 10.1. Alibaba
    • 10.1.1. Company overview
    • 10.1.2. Key executives
    • 10.1.3. Company snapshot
    • 10.1.4. Operating business segments
    • 10.1.5. Product portfolio
    • 10.1.6. Business performance
    • 10.1.7. Key strategic moves and developments
  • 10.2. Microsoft Corporation
    • 10.2.1. Company overview
    • 10.2.2. Key executives
    • 10.2.3. Company snapshot
    • 10.2.4. Operating business segments
    • 10.2.5. Product portfolio
    • 10.2.6. Business performance
    • 10.2.7. Key strategic moves and developments
  • 10.3. Amazon
    • 10.3.1. Company overview
    • 10.3.2. Key executives
    • 10.3.3. Company snapshot
    • 10.3.4. Operating business segments
    • 10.3.5. Product portfolio
    • 10.3.6. Business performance
    • 10.3.7. Key strategic moves and developments
  • 10.4. Alphabet Inc. (Google LLC)
    • 10.4.1. Company overview
    • 10.4.2. Key executives
    • 10.4.3. Company snapshot
    • 10.4.4. Operating business segments
    • 10.4.5. Product portfolio
    • 10.4.6. Business performance
    • 10.4.7. Key strategic moves and developments
  • 10.5. IBM
    • 10.5.1. Company overview
    • 10.5.2. Key executives
    • 10.5.3. Company snapshot
    • 10.5.4. Operating business segments
    • 10.5.5. Product portfolio
    • 10.5.6. Business performance
    • 10.5.7. Key strategic moves and developments
  • 10.6. Baidu
    • 10.6.1. Company overview
    • 10.6.2. Key executives
    • 10.6.3. Company snapshot
    • 10.6.4. Operating business segments
    • 10.6.5. Product portfolio
    • 10.6.6. Business performance
    • 10.6.7. Key strategic moves and developments
  • 10.7. Tencent
    • 10.7.1. Company overview
    • 10.7.2. Key executives
    • 10.7.3. Company snapshot
    • 10.7.4. Operating business segments
    • 10.7.5. Product portfolio
    • 10.7.6. Business performance
    • 10.7.7. Key strategic moves and developments
  • 10.8. Nvidia
    • 10.8.1. Company overview
    • 10.8.2. Key executives
    • 10.8.3. Company snapshot
    • 10.8.4. Operating business segments
    • 10.8.5. Product portfolio
    • 10.8.6. Business performance
    • 10.8.7. Key strategic moves and developments
  • 10.9. Intel Corporation.
    • 10.9.1. Company overview
    • 10.9.2. Key executives
    • 10.9.3. Company snapshot
    • 10.9.4. Operating business segments
    • 10.9.5. Product portfolio
    • 10.9.6. Business performance
    • 10.9.7. Key strategic moves and developments
  • 10.10. Salesforce Inc.
    • 10.10.1. Company overview
    • 10.10.2. Key executives
    • 10.10.3. Company snapshot
    • 10.10.4. Operating business segments
    • 10.10.5. Product portfolio
    • 10.10.6. Business performance
    • 10.10.7. Key strategic moves and developments

LIST OF TABLES

  • TABLE 01. GLOBAL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 02. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SOLUTION, BY REGION, 2022-2032 ($BILLION)
  • TABLE 03. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SERVICES, BY REGION, 2022-2032 ($BILLION)
  • TABLE 04. GLOBAL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 05. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR LARGE ENTERPRISE, BY REGION, 2022-2032 ($BILLION)
  • TABLE 06. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SMALL AND MIDDLE-SIZED ENTERPRISE, BY REGION, 2022-2032 ($BILLION)
  • TABLE 07. GLOBAL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 08. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR DATA ANALYTICS, BY REGION, 2022-2032 ($BILLION)
  • TABLE 09. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR PREDICTIVE ANALYTICS, BY REGION, 2022-2032 ($BILLION)
  • TABLE 10. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR CYBER SECURITY, BY REGION, 2022-2032 ($BILLION)
  • TABLE 11. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SUPPLY CHAIN AND INVENTORY MANAGEMENT, BY REGION, 2022-2032 ($BILLION)
  • TABLE 12. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR OTHERS, BY REGION, 2022-2032 ($BILLION)
  • TABLE 13. GLOBAL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 14. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR BFSI, BY REGION, 2022-2032 ($BILLION)
  • TABLE 15. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR IT AND TELECOM, BY REGION, 2022-2032 ($BILLION)
  • TABLE 16. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR RETAIL, BY REGION, 2022-2032 ($BILLION)
  • TABLE 17. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR MANUFACTURING AND LOGISTICS, BY REGION, 2022-2032 ($BILLION)
  • TABLE 18. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR ENERGY SECTOR AND UTILITIES, BY REGION, 2022-2032 ($BILLION)
  • TABLE 19. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR HEALTHCARE, BY REGION, 2022-2032 ($BILLION)
  • TABLE 20. AI AND MACHINE LEARNING IN BUSINESS MARKET FOR OTHERS, BY REGION, 2022-2032 ($BILLION)
  • TABLE 21. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY REGION, 2022-2032 ($BILLION)
  • TABLE 22. NORTH AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 23. NORTH AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 24. NORTH AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 25. NORTH AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 26. NORTH AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COUNTRY, 2022-2032 ($BILLION)
  • TABLE 27. U.S. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 28. U.S. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 29. U.S. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 30. U.S. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 31. MEXICO AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 32. MEXICO AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 33. MEXICO AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 34. MEXICO AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 35. CANADA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 36. CANADA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 37. CANADA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 38. CANADA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 39. EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 40. EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 41. EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 42. EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 43. EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COUNTRY, 2022-2032 ($BILLION)
  • TABLE 44. UK AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 45. UK AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 46. UK AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 47. UK AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 48. GERMANY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 49. GERMANY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 50. GERMANY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 51. GERMANY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 52. FRANCE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 53. FRANCE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 54. FRANCE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 55. FRANCE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 56. ITALY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 57. ITALY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 58. ITALY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 59. ITALY AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 60. SPAIN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 61. SPAIN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 62. SPAIN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 63. SPAIN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 64. REST OF EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 65. REST OF EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 66. REST OF EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 67. REST OF EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 68. ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 69. ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 70. ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 71. ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 72. ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COUNTRY, 2022-2032 ($BILLION)
  • TABLE 73. CHINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 74. CHINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 75. CHINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 76. CHINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 77. JAPAN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 78. JAPAN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 79. JAPAN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 80. JAPAN AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 81. INDIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 82. INDIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 83. INDIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 84. INDIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 85. AUSTRALIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 86. AUSTRALIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 87. AUSTRALIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 88. AUSTRALIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 89. SOUTH KOREA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 90. SOUTH KOREA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 91. SOUTH KOREA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 92. SOUTH KOREA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 93. REST OF ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 94. REST OF ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 95. REST OF ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 96. REST OF ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 97. LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 98. LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 99. LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 100. LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 101. LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COUNTRY, 2022-2032 ($BILLION)
  • TABLE 102. BRAZIL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 103. BRAZIL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 104. BRAZIL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 105. BRAZIL AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 106. ARGENTINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 107. ARGENTINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 108. ARGENTINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 109. ARGENTINA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 110. COLOMBIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 111. COLOMBIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 112. COLOMBIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 113. COLOMBIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 114. REST OF LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 115. REST OF LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 116. REST OF LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 117. REST OF LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 118. MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 119. MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 120. MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 121. MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 122. MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COUNTRY, 2022-2032 ($BILLION)
  • TABLE 123. SAUDI ARABIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 124. SAUDI ARABIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 125. SAUDI ARABIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 126. SAUDI ARABIA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 127. SOUTH AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 128. SOUTH AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 129. SOUTH AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 130. SOUTH AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 131. UAE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 132. UAE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 133. UAE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 134. UAE AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 135. REST OF MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022-2032 ($BILLION)
  • TABLE 136. REST OF MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022-2032 ($BILLION)
  • TABLE 137. REST OF MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022-2032 ($BILLION)
  • TABLE 138. REST OF MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022-2032 ($BILLION)
  • TABLE 139. ALIBABA GROUP: KEY EXECUTIVES
  • TABLE 140. ALIBABA GROUP: COMPANY SNAPSHOT
  • TABLE 141. ALIBABA GROUP: PRODUCT SEGMENTS
  • TABLE 142. ALIBABA GROUP: SERVICE SEGMENTS
  • TABLE 143. ALIBABA GROUP: PRODUCT PORTFOLIO
  • TABLE 144. ALIBABA GROUP: KEY STRATEGIES
  • TABLE 145. MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 146. MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 147. MICROSOFT CORPORATION: PRODUCT SEGMENTS
  • TABLE 148. MICROSOFT CORPORATION: SERVICE SEGMENTS
  • TABLE 149. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 150. MICROSOFT CORPORATION: KEY STRATEGIES
  • TABLE 151. AMAZON WEB SERVICES INC: KEY EXECUTIVES
  • TABLE 152. AMAZON WEB SERVICES INC: COMPANY SNAPSHOT
  • TABLE 153. AMAZON WEB SERVICES INC: PRODUCT SEGMENTS
  • TABLE 154. AMAZON WEB SERVICES INC: SERVICE SEGMENTS
  • TABLE 155. AMAZON WEB SERVICES INC: PRODUCT PORTFOLIO
  • TABLE 156. AMAZON WEB SERVICES INC: KEY STRATEGIES
  • TABLE 157. GOOGLE LLC: KEY EXECUTIVES
  • TABLE 158. GOOGLE LLC: COMPANY SNAPSHOT
  • TABLE 159. GOOGLE LLC: PRODUCT SEGMENTS
  • TABLE 160. GOOGLE LLC: SERVICE SEGMENTS
  • TABLE 161. GOOGLE LLC: PRODUCT PORTFOLIO
  • TABLE 162. GOOGLE LLC: KEY STRATEGIES
  • TABLE 163. IBM CORPORATION: KEY EXECUTIVES
  • TABLE 164. IBM CORPORATION: COMPANY SNAPSHOT
  • TABLE 165. IBM CORPORATION: PRODUCT SEGMENTS
  • TABLE 166. IBM CORPORATION: SERVICE SEGMENTS
  • TABLE 167. IBM CORPORATION: PRODUCT PORTFOLIO
  • TABLE 168. IBM CORPORATION: KEY STRATEGIES
  • TABLE 169. BAIDU, INC: KEY EXECUTIVES
  • TABLE 170. BAIDU, INC: COMPANY SNAPSHOT
  • TABLE 171. BAIDU, INC: PRODUCT SEGMENTS
  • TABLE 172. BAIDU, INC: SERVICE SEGMENTS
  • TABLE 173. BAIDU, INC: PRODUCT PORTFOLIO
  • TABLE 174. BAIDU, INC: KEY STRATEGIES
  • TABLE 175. TENCENT HOLDINGS LIMITED: KEY EXECUTIVES
  • TABLE 176. TENCENT HOLDINGS LIMITED: COMPANY SNAPSHOT
  • TABLE 177. TENCENT HOLDINGS LIMITED: PRODUCT SEGMENTS
  • TABLE 178. TENCENT HOLDINGS LIMITED: SERVICE SEGMENTS
  • TABLE 179. TENCENT HOLDINGS LIMITED: PRODUCT PORTFOLIO
  • TABLE 180. TENCENT HOLDINGS LIMITED: KEY STRATEGIES
  • TABLE 181. NVIDIA CORPORATION: KEY EXECUTIVES
  • TABLE 182. NVIDIA CORPORATION: COMPANY SNAPSHOT
  • TABLE 183. NVIDIA CORPORATION: PRODUCT SEGMENTS
  • TABLE 184. NVIDIA CORPORATION: SERVICE SEGMENTS
  • TABLE 185. NVIDIA CORPORATION: PRODUCT PORTFOLIO
  • TABLE 186. NVIDIA CORPORATION: KEY STRATEGIES
  • TABLE 187. INTEL CORPORATION: KEY EXECUTIVES
  • TABLE 188. INTEL CORPORATION: COMPANY SNAPSHOT
  • TABLE 189. INTEL CORPORATION: PRODUCT SEGMENTS
  • TABLE 190. INTEL CORPORATION: SERVICE SEGMENTS
  • TABLE 191. INTEL CORPORATION: PRODUCT PORTFOLIO
  • TABLE 192. INTEL CORPORATION: KEY STRATEGIES
  • TABLE 193. SALESFORCE INC.: KEY EXECUTIVES
  • TABLE 194. SALESFORCE INC.: COMPANY SNAPSHOT
  • TABLE 195. SALESFORCE INC.: PRODUCT SEGMENTS
  • TABLE 196. SALESFORCE INC.: SERVICE SEGMENTS
  • TABLE 197. SALESFORCE INC.: PRODUCT PORTFOLIO
  • TABLE 198. SALESFORCE INC.: KEY STRATEGIES

LIST OF FIGURES

  • FIGURE 01. AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032
  • FIGURE 02. SEGMENTATION OF AI AND MACHINE LEARNING IN BUSINESS MARKET,2022-2032
  • FIGURE 03. TOP IMPACTING FACTORS IN AI AND MACHINE LEARNING IN BUSINESS MARKET
  • FIGURE 04. TOP INVESTMENT POCKETS IN AI AND MACHINE LEARNING IN BUSINESS MARKET (2023-2032)
  • FIGURE 05. BARGAINING POWER OF SUPPLIERS
  • FIGURE 06. BARGAINING POWER OF BUYERS
  • FIGURE 07. THREAT OF SUBSTITUTION
  • FIGURE 08. THREAT OF SUBSTITUTION
  • FIGURE 09. COMPETITIVE RIVALRY
  • FIGURE 10. GLOBAL AI AND MACHINE LEARNING IN BUSINESS MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 11. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT, 2022 AND 2032(%)
  • FIGURE 12. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SOLUTION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 13. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SERVICES, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 14. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE, 2022 AND 2032(%)
  • FIGURE 15. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR LARGE ENTERPRISE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 16. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SMALL AND MIDDLE-SIZED ENTERPRISE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 17. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION, 2022 AND 2032(%)
  • FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR DATA ANALYTICS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR PREDICTIVE ANALYTICS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 20. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR CYBER SECURITY, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 21. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR SUPPLY CHAIN AND INVENTORY MANAGEMENT, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 22. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 23. AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL, 2022 AND 2032(%)
  • FIGURE 24. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR BFSI, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 25. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR IT AND TELECOM, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 26. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR RETAIL, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 27. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR MANUFACTURING AND LOGISTICS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 28. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR ENERGY SECTOR AND UTILITIES, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 29. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR HEALTHCARE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 30. COMPARATIVE SHARE ANALYSIS OF AI AND MACHINE LEARNING IN BUSINESS MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 31. AI AND MACHINE LEARNING IN BUSINESS MARKET BY REGION, 2022 AND 2032(%)
  • FIGURE 32. U.S. AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 33. MEXICO AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 34. CANADA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 35. UK AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 36. GERMANY AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 37. FRANCE AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 38. ITALY AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 39. SPAIN AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 40. REST OF EUROPE AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 41. CHINA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 42. JAPAN AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 43. INDIA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 44. AUSTRALIA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 45. SOUTH KOREA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 46. REST OF ASIA-PACIFIC AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 47. BRAZIL AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 48. ARGENTINA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 49. COLOMBIA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 50. REST OF LATIN AMERICA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 51. SAUDI ARABIA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 52. SOUTH AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 53. UAE AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 54. REST OF MIDDLE EAST AND AFRICA AI AND MACHINE LEARNING IN BUSINESS MARKET, 2022-2032 ($BILLION)
  • FIGURE 55. TOP WINNING STRATEGIES, BY YEAR
  • FIGURE 56. TOP WINNING STRATEGIES, BY DEVELOPMENT
  • FIGURE 57. TOP WINNING STRATEGIES, BY COMPANY
  • FIGURE 58. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 59. COMPETITIVE DASHBOARD
  • FIGURE 60. COMPETITIVE HEATMAP: AI AND MACHINE LEARNING IN BUSINESS MARKET
  • FIGURE 61. TOP PLAYER POSITIONING, 2022