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市場調查報告書
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1961232

對話式運算平台市場－全球產業規模、佔有率、趨勢、機會、預測：按類型、技術、應用、地區和競爭格局分類，2021-2031年

Conversational Computing Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type, By Technology, By Application, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球互動式運算平台市場預計將從 2025 年的 103.1 億美元大幅成長至 2031 年的 537.5 億美元，複合年成長率為 31.68%。

這些平台利用人工智慧技術，包括語音辨識和自然語言處理，作為聊天機器人和智慧虛擬助手，實現各種數位管道的無縫人機互動。推動這項擴張的關鍵因素是企業迫切需要有效率地擴展客戶支援，同時滿足消費者對個人化、全天候客戶服務的需求。為了維持服務水準的一致性，各組織正積極拓展溝通管道。例如，根據國際客戶管理協會 (ICMI) 發布的《2024 年報告》，61% 的客服中心正在擴展其多通路能力，以適應不斷變化的消費者偏好和非傳統平台。

市場概覽
預測期 2027-2031
市場規模：2025年 103.1億美元
市場規模：2031年 537.5億美元
複合年成長率：2026-2031年 31.68%
成長最快的細分市場 資料隱私合規性
最大的市場 北美洲

然而，將這些先進平台與現有傳統基礎設施整合仍然是廣泛應用的一大障礙。企業往往難以整合分散的資料孤島，而這對於訓練精準模型和實現情境響應式互動至關重要。嚴格的資料隱私法規和敏感​​使用者資訊的安全要求進一步加劇了這種技術複雜性，使部署策略更加複雜。因此，這些挑戰持續阻礙互動式技術的快速發展，並延緩了其在許多企業中的成功應用。

市場促進因素

生成式人工智慧和自然語言處理的快速發展正在改變全球互動式運算平台市場的能力。這些技術不再局限於靜態的、基於腳本的回复，而是能夠實現流暢、感知上下文的對話，忠實地模擬人類認知，使虛擬代理能夠高精度地處理複雜的查詢，並減少日常運營中對人工干預的需求。這種轉變對零售和金融業的影響尤其顯著，這些產業的自動化問題解決率已大幅提升。例如，根據Klaruna在2024年2月發布的新聞稿，其人工智慧助理在部署後的第一個月就處理了230萬次對話，工作量相當於700名全職客服人員，同時保持了較高的客戶滿意度。

同時，對營運效率和業務流程自動化的追求正促使企業將這些平台整合到其核心基礎設施中，以降低成本。企業正在採用自動化系統來簡化工作流程、縮短回應時間並最佳化資源分配，這主要是因為這些系統能夠在不增加員工的情況下提供持續服務。根據 Zendesk 2024 年 1 月發布的報告，70% 的客戶體驗負責人計劃實施生成式人工智慧來提升服務交付能力。這一趨勢反映了整個勞動市場的轉變，微軟 2024 年 5 月發布的《工作趨勢指數年度報告》顯示，全球 75% 的知識工作者正在使用人工智慧工具來管理其不斷成長的工作量。

市場挑戰

全球互動式運算平台市場擴張的一大障礙在於現代系統與傳統基礎設施的整合難度。先進的人工智慧系統要高效運作並提供情境感知對話，無縫存取整合資料流至關重要。然而，許多公司營運的技術環境碎片化嚴重，數據孤立且互不共享。這種碎片化導致現代平台無法即時獲取客戶歷史記錄和營運細節，需要耗資計劃進行長期整合，從而延緩部署並增加成本。因此，先進工具與傳統系統同步的技術摩擦阻礙了可擴展的部署，並限制了這些技術所能提供的價值。

CompTIA 2025 年報告凸顯了這些整合障礙的嚴重性，報告指出，47% 的公司將工作流程整合障礙列為縮減人工智慧應用規模的原因之一。這項數據表明，技術不相容性對市場發展勢頭產生了切實的影響，迫使企業暫停或逆轉其現代化進程。因此，如果企業無法無縫銜接現有業務工作流程和新的對話功能，整體市場成長將受到直接限制。

市場趨勢

自主代理人工智慧系統的興起正將市場推向一個重要的轉捩點。關注點正從被動的資訊搜尋轉向主動的、目標導向的任務執行。與依賴預先定義腳本的傳統聊天機器人不同，這些高階代理商具備認知推理能力，能夠自主規劃並執行跨多個企業應用程式的多階段工作流程。這種發展使得企業能夠以最少的人工干預實現理賠處理和供應鏈協調等複雜流程的自動化。為了佐證這一快速轉變， 銷售團隊發布的 2025 年 9 月《基於代理的企業指數》報告顯示，在 2025 年 1 月至 6 月期間，早期採用者創建的代理數量激增了 119%。

同時，低程式碼/無程式碼框架的普及使互動式介面的開發更加大眾化，即使是不具備技術專長的用戶也能部署複雜的解決方案。這一趨勢透過提供可視化的拖放環境，加速了虛擬助理的原型製作和部署，從而緩解了工程資源短缺的問題。跨職能團隊可以獨立建構和改進工具，使企業能夠在不給IT部門增加過多負擔的情況下擴展對話功能。 OutSystems在2024年12月發布的報告反映了數位化交付的加速趨勢，指出88%的IT領導者正在參與低程式碼計劃，並強調簡化開發架構是一項策略挑戰。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球對話式運算平台市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按類型（解決方案、服務）
    • 依技術分類（自然語言處理、機器學習、深度學習、自動語音辨識）
    • 按應用領域（個人助理、品牌推廣、廣告、資料隱私合規）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美對話式運算平台市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲對話式運算平台市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區對話式運算平台市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲對話式運算平台市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美對話式運算平台市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球對話式運算平台市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Inc.
  • Apple Inc.
  • Nuance Communications, Inc.
  • Salesforce Inc.
  • SAP SE
  • Oracle Corporation
  • Cognizant Technology Solutions Corporation
  • Inbenta Holdings Inc.
  • Alibaba Group Holding Limited

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24901

The Global Conversational Computing Platform Market is projected to experience substantial growth, rising from USD 10.31 billion in 2025 to USD 53.75 billion by 2031, representing a CAGR of 31.68%. These platforms utilize artificial intelligence, including voice recognition and natural language processing, to facilitate fluid human-machine interactions across various digital channels, serving as chatbots or intelligent virtual assistants. The primary driver for this expansion is the urgent enterprise need to scale customer support efficiently while satisfying consumer demands for personalized, round-the-clock engagement. To maintain consistent service standards, organizations are actively diversifying their communication avenues; for instance, the International Customer Management Institute reported in 2024 that 61% of contact centers expanded their multichannel capabilities to align with changing consumer preferences and non-traditional platforms.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 10.31 Billion
Market Size 2031USD 53.75 Billion
CAGR 2026-203131.68%
Fastest Growing SegmentData Privacy Compliance
Largest MarketNorth America

However, integrating these sophisticated platforms with established legacy infrastructure remains a significant barrier to widespread adoption. Companies often struggle to merge fragmented data silos, a step that is critical for training accurate models and ensuring context-sensitive interactions. This technical complexity is further compounded by strict data privacy regulations and security mandates regarding sensitive user information, which complicate deployment strategies. Consequently, these challenges continue to hinder rapid expansion and delay the successful implementation of conversational technologies for many enterprises.

Market Driver

Rapid advancements in generative artificial intelligence and natural language processing are transforming the capabilities of the Global Conversational Computing Platform Market. Moving beyond static, script-based responses, these technologies now facilitate fluid, context-aware dialogues that closely mimic human cognition, enabling virtual agents to manage complex inquiries with high precision and reducing the need for human intervention in routine tasks. This shift is particularly impactful in the retail and financial sectors, where automated resolution rates have increased significantly. For example, a February 2024 press release from Klarna revealed that its AI assistant handled 2.3 million conversations in its first month, matching the output of 700 full-time agents while maintaining high customer satisfaction levels.

Concurrently, the drive for operational efficiency and business process automation is encouraging organizations to embed these platforms into their core infrastructure to reduce costs. Businesses are adopting automated systems to streamline workflows, decrease response times, and optimize resource allocation, driven largely by the ability to provide continuous service without increasing headcount. A January 2024 Zendesk report noted that 70% of customer experience leaders plan to incorporate generative AI to enhance service delivery. This trend reflects broader workforce shifts; according to Microsoft's May 2024 Work Trend Index Annual Report, 75% of global knowledge workers now use AI tools to manage their expanding workloads.

Market Challenge

A major obstacle to the expansion of the global conversational computing platform market is the difficulty of integrating modern systems with legacy infrastructure. To function effectively and provide context-aware interactions, advanced AI systems require seamless access to unified data streams; however, many enterprises operate within fragmented technological environments where data remains isolated in silos. This fragmentation prevents modern platforms from retrieving real-time customer history or operational details, necessitating expensive and prolonged integration projects that delay deployment and inflate costs. As a result, the technical friction involved in syncing sophisticated tools with outdated systems discourages scalable adoption and limits the value these technologies can deliver.

The severity of these integration hurdles is highlighted by CompTIA, which reported in 2025 that 47% of companies identified workflow integration barriers as a reason for scaling back their artificial intelligence usage. This statistic demonstrates the tangible impact of technical incompatibility on market momentum, compelling businesses to pause or reverse their modernization efforts. Consequently, when organizations are unable to seamlessly bridge the gap between their established operational workflows and new conversational capabilities, the overall growth of the market is directly constrained.

Market Trends

The market is undergoing a significant shift with the rise of autonomous agentic AI systems, moving focus from passive information retrieval to active, goal-driven task execution. Unlike traditional chatbots that depend on pre-defined scripts, these advanced agents possess the cognitive reasoning to independently plan and execute multi-step workflows across various enterprise applications. This evolution allows organizations to automate complex processes, such as claims processing or supply chain coordination, with minimal human supervision. Highlighting this rapid transition, Salesforce's September 2025 Agentic Enterprise Index reported a 119% surge in agent creation among early adopters between January and June 2025.

At the same time, the widespread use of low-code and no-code frameworks is democratizing the development of conversational interfaces, enabling non-technical users to deploy sophisticated solutions. This trend helps mitigate the scarcity of engineering resources by offering visual, drag-and-drop environments that accelerate the prototyping and deployment of virtual assistants. By empowering cross-functional teams to build and refine tools independently, enterprises can expand their conversational capabilities without overburdening IT departments. Reflecting this push for faster digital delivery, an December 2024 OutSystems report noted that 88% of IT leaders have low-code projects underway, underscoring the strategic imperative to simplify development architectures.

Key Market Players

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Inc.
  • Apple Inc.
  • Nuance Communications, Inc.
  • Salesforce Inc.
  • SAP SE
  • Oracle Corporation
  • Cognizant Technology Solutions Corporation
  • Inbenta Holdings Inc.
  • Alibaba Group Holding Limited

Report Scope

In this report, the Global Conversational Computing Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Conversational Computing Platform Market, By Type

  • Solution
  • Service

Conversational Computing Platform Market, By Technology

  • Natural Language Processing
  • Machine Learning
  • Deep Learning
  • ASR

Conversational Computing Platform Market, By Application

  • Personal Assistance
  • Branding
  • Advertisement
  • Data Privacy Compliance

Conversational Computing Platform Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Conversational Computing Platform Market.

Available Customizations:

Global Conversational Computing Platform Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Conversational Computing Platform Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (Solution, Service)
    • 5.2.2. By Technology (Natural Language Processing, Machine Learning, Deep Learning, ASR)
    • 5.2.3. By Application (Personal Assistance, Branding, Advertisement, Data Privacy Compliance)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Conversational Computing Platform Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Technology
    • 6.2.3. By Application
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Conversational Computing Platform Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Technology
        • 6.3.1.2.3. By Application
    • 6.3.2. Canada Conversational Computing Platform Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Technology
        • 6.3.2.2.3. By Application
    • 6.3.3. Mexico Conversational Computing Platform Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Technology
        • 6.3.3.2.3. By Application

7. Europe Conversational Computing Platform Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Technology
    • 7.2.3. By Application
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Conversational Computing Platform Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Technology
        • 7.3.1.2.3. By Application
    • 7.3.2. France Conversational Computing Platform Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Technology
        • 7.3.2.2.3. By Application
    • 7.3.3. United Kingdom Conversational Computing Platform Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Technology
        • 7.3.3.2.3. By Application
    • 7.3.4. Italy Conversational Computing Platform Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Technology
        • 7.3.4.2.3. By Application
    • 7.3.5. Spain Conversational Computing Platform Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Technology
        • 7.3.5.2.3. By Application

8. Asia Pacific Conversational Computing Platform Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Technology
    • 8.2.3. By Application
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Conversational Computing Platform Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Technology
        • 8.3.1.2.3. By Application
    • 8.3.2. India Conversational Computing Platform Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Technology
        • 8.3.2.2.3. By Application
    • 8.3.3. Japan Conversational Computing Platform Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Technology
        • 8.3.3.2.3. By Application
    • 8.3.4. South Korea Conversational Computing Platform Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Technology
        • 8.3.4.2.3. By Application
    • 8.3.5. Australia Conversational Computing Platform Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Technology
        • 8.3.5.2.3. By Application

9. Middle East & Africa Conversational Computing Platform Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Technology
    • 9.2.3. By Application
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Conversational Computing Platform Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Technology
        • 9.3.1.2.3. By Application
    • 9.3.2. UAE Conversational Computing Platform Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Technology
        • 9.3.2.2.3. By Application
    • 9.3.3. South Africa Conversational Computing Platform Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Technology
        • 9.3.3.2.3. By Application

10. South America Conversational Computing Platform Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Technology
    • 10.2.3. By Application
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Conversational Computing Platform Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Technology
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Conversational Computing Platform Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Technology
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Conversational Computing Platform Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Technology
        • 10.3.3.2.3. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Conversational Computing Platform Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. Google LLC
  • 15.4. Amazon Inc.
  • 15.5. Apple Inc.
  • 15.6. Nuance Communications, Inc.
  • 15.7. Salesforce Inc.
  • 15.8. SAP SE
  • 15.9. Oracle Corporation
  • 15.10. Cognizant Technology Solutions Corporation
  • 15.11. Inbenta Holdings Inc.
  • 15.12. Alibaba Group Holding Limited

16. Strategic Recommendations

17. About Us & Disclaimer