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機器人服務市場：服務類型（平台、框架）、渠道類型（社交媒體、網站）、交互類型、業務功能、行業（BFSI、零售和電子商務）、到 2027 年的區域預測
市場調查報告書
商品編碼
1097882

機器人服務市場：服務類型（平台、框架）、渠道類型（社交媒體、網站）、交互類型、業務功能、行業（BFSI、零售和電子商務）、到 2027 年的區域預測

Bot Services Market by Service Type (Platform & Framework), Mode of Channel (Social Media, Website), Interaction Type, Business Function (Sales & Marketing, IT, HR), Vertical (BFSI, Retail & eCommerce) and Region - Global Forecast to 2027
出版日期: | 出版商: MarketsandMarkets | 英文 323 Pages | 訂單完成後即時交付

價格
簡介目錄

機器人服務的市場規模預計將從 2022 年的 16 億美元增長到 2027 年的 67 億美元，預測期內的複合年增長率 (CAGR) 為 33.2%。是。

各種因素包括努力開發自學聊天機器人以提供更人性化的對話體驗、在客戶服務中取代人工代理的能力以及增加用戶在社交媒體平台上的參與度，預計將為機器人提供機會服務市場遍布全球。

Bot 主要用作提高最終用戶參與度的對話工具，從而改善用戶體驗。在過去幾年中，機器人一直是人工智能 (AI) 驅動技術的關鍵組成部分。構建有效地為最終用戶服務的高級框架和平台正在不斷發展。最近，機器人的引入在各個行業顯著增加。

將聊天機器人與社交媒體整合以增強營銷策略、為聊天機器人提供更好的客戶體驗的 AI 和 ML 技術創新、以較低的運營成本增加對 24x7 客戶支持的需求、COVID 因素，例如 19 中和後期客戶服務自動化和人為錯誤的最小化導致提高市場對機器人服務需求的準確性。世界各地的組織都致力於投資 AI 和 ML 技術，以改善用戶體驗並在不斷變化的市場環境中保持競爭力。

COVID-19 給全世界人民的生活和生活造成了巨大的動盪。個人和客戶服務團隊發現很難回應客戶的詢問並保持滿意指數來滿足他們的緊急需求。客戶與公司的互動，尤其是在危急情況下，對客戶的信任和忠誠度產生直接和持久的影響。客戶體驗 (CX) 領導者需要適應和應對客戶行為的長期變化。可支配收入的下降和 COVID-19 的心理影響都在影響消費者支出。例如，巴西、日本、意大利和西班牙的消費者正在放棄不必要和緊急的購物，變得更有選擇性，感到經濟負擔重，並優先考慮經濟復甦。

內容管理部門在預測區間內的複合年增長率最高

機器人服務市場根據使用情況分為客戶參與和保留、勞動力管理、代理績效管理、內容管理、約會時間表、員工入職等。據估計，內容管理領域在預測期內的增長率最高。今天的客戶想要閱讀一口大小的內容。可以對機器人進行編程，以提供新聞摘要並分享用戶查詢的內容。通過這種方式，機器人是媒體出版商與讀者交流、跟蹤他們的參與度並獲取有關他們興趣的有用信息的好方法。此外，機器人服務通過整合各種不同的響應類型來為用戶提供豐富的響應，以增強用戶體驗。

預計社交媒體部門在預測期內的複合年增長率最高

機器人服務市場根據渠道模式分為網站、聯絡中心、社交媒體和移動應用。在預測期內，社交媒體部分預計將以更高的複合年增長率增長。社交媒體平台包括即時通訊應用程序，例如 Facebook、YouTube、Twitter、Skype、Kik、Telegram、微信、Line 和社交媒體網絡。由於社交媒體平台上有大量活躍用戶，因此鼓勵公司通過這些社交媒體平台上的機器人與最終用戶進行交流。在社交媒體平台上實施的機器人幫助企業為客戶提供個性化的自助服務和社交體驗。

亞太地區在預測區間內的複合年增長率最高

由於該地區工業化進程的推進，預計 2022 年至 2027 年亞太地區機器人服務市場將以 36.3% 的最高複合年增長率增長。預計該市場還將佔據機器人服務的重要份額。中國、日本和印度等國家正在利用信息密集型人工智能技術，使機器人服務成為主要技術趨勢之一。 IBM、谷歌和 AWS 是在該地區市場運營的供應商，還有其他幾家重要的機器人服務提供商。 BFSI、旅遊、醫院和零售等各行各業的公司採用人工智能技術，預計將有助於亞太地區機器人服務市場的增長。

初級故障

我們對在機器人服務市場運營的各種主要組織的首席執行官、創新和技術官員、系統集成商和高管進行了詳細採訪。

  • 按公司分類：一級：35%，二級：45%，三級-0%
  • 按職稱：C 級主管 -30%，D 級主管 -25%，經理 -40%
  • 按地區劃分：亞太地區 -25%、歐洲 -30%、北美 -30%、中東和非洲 -10%、拉丁美洲 -5%

本報告還調查了提供機器人服務的主要參與者。機器人服務市場主要供應商的概況。機器人服務市場的主要參與者有微軟（美國）、IBM（美國）、谷歌（美國）、甲骨文（美國）、AWS（美國）、Meta（美國）、Artificial Solutions（瑞典）、eGain（美國）、百度. (中國), Inbenta (美國), Alvaria (美國), SAP (德國), CM.com (荷蘭), Creative Virtual (英國), Kore.ai (美國), [24] 7.ai (美國) , Gupshup (美國), Rasa (美國), Pandorabots (美國), Botego (美國), Chatfuel (美國), Pypestream (美國), Avaamo (美國), Webio (愛爾蘭), ServisBOT (美國), Morph.ai (印度）、Cognigy（德國）、Enterprise Bot（瑞典）、Engage（美國）、Haptik（美國）。

調查範圍

這項市場研究涵蓋了各個細分市場的機器人服務市場。目的是估計市場規模和該市場在不同領域的增長潛力，如組件、映射類型、應用程序、行業和地區。它還提供了市場上主要公司的詳細競爭分析、公司概況、對產品和業務產品的主要觀察、最新發展和主要市場戰略。

購買此報告的主要好處

本報告為該市場的市場領導者/新進入者提供有關整個機器人服務市場及其子細分市場收入數字的最接近估計的信息。它將幫助利益相關者了解競爭格局，定位他們的業務，並獲得更好的洞察力以規劃適當的市場進入戰略。它還幫助利益相關者了解市場脈動，並提供有關關鍵市場驅動因素/因素、挑戰和機遇的信息。

目錄

第1章介紹

  • 研究目的
  • 市場定義
    • 包含與排除
  • 市場範圍
    • 市場細分
    • 目標區域
    • 考慮研究的年限
  • 考慮的貨幣
  • 利益相關者
  • 變更摘要

第2章調查方法

  • 調查數據
    • 輔助數據
    • 主要數據
      • 拆分主要配置文件
      • 關鍵行業洞察
  • 市場細分和數據三角剖分
  • 市場規模估計
    • 自上而下的方法
    • 自下而上的方法
  • 市場預測
  • 公司評價矩陣的調查方法
  • Startup/SME評估矩陣研□□究方法
  • 研究假設
  • 研究的局限
  • 機器人服務 COVID-19

第 3 章執行摘要

第 4 章重要考慮

  • 機器人服務市場具有吸引力的市場機會
  • Bot 服務市場：前 3 大應用
  • 機器人服務市場：按地區
  • 北美服務市場，前 3 大應用和行業

第五章市場概況與趨勢

  • 簡介
  • 市場動態
    • 促進因素
      • 通過整合聊天機器人和社交媒體加強營銷策略
      • 通過聊天機器人的 AI 和 ML 技術創新改善客戶體驗 以更低的運營成本增加對 24x7 客戶支持的需求
      • 在 COVID-19 期間和之後的客戶服務自動化
      • 最大限度地減少人為錯誤可提高準確性
    • 抑制器
      • 機器人無法做出動態決策
      • 用戶語音識別不准確
    • 市場機會
      • 提高用戶在社交媒體平台上的參與度
      • 能夠用客戶服務取代人工代理
      • 開發自學聊天機器人以提供更人性化的對話體驗的倡議
    • 挑戰
      • 我不願意將機器人用於各種應用程序
      • 缺乏熟練的勞動力來更好地執行基於人工智能的項目
    • 累計增長分析
  • 趨勢
    • 機器人服務市場：演變
    • 生態系統
    • 供應鏈分析
    • 機器人服務市場：COVID-19 的影響
    • 趨勢 影響服務市場買家/客戶的趨勢/動盪
  • 技術分析
    • 機器學習和機器人服務
    • 深度學習和機器人服務
    • 自然語言處理和機器人服務
    • 雲計算和機器人服務
  • 案例分析
    • BFSI
      • 案例研究：Bradesco 和 IBM 合作組建了一個團隊，向 Watson 教授銀行產品和服務，以改善客戶互動。
      • 案例研究：使用 AI 改善對世界領先保險公司的客戶支持
      • 案例研究：讓花旗銀行提供無縫的客戶體驗
    • 醫療保健和生命科學
      • 案例研究：AI助手根據情況簡化處方補充
      • 案例研究：Tia 選擇 RASA 的 NLU 來整合 HIPAA 合規性並提高效率
    • IT 和電信
      • 案例研究：利用基於 Azure 認知服務的數字助理轉變 Vodafone 的客戶服務戰略
      • 案例研究：Elisa Estonia 引入了 MindTitan 的聊天機器人來分析傳入的聊天內容並改善客戶體驗。
      • 案例研究：印度信息系統公司每天處理大量記錄
    • 零售和電子商務
      • 案例研究：領先的英國綜合數字零售商和金融服務提供商已完全接受對話式客戶互動
      • 案例研究：允許零售商提供跨不同客戶接觸點的個性化對話體驗
    • 政府
      • 案例研究：為印度政府的官方 COVID-19 熱線構建世界上最大的 WhatsApp 聊天機器人
    • 媒體和娛樂
      • 案例研究：Dream 11 實施了 Haptik 的支持機器人，以在季節性高峰期加強客戶支持。
      • 案例研究：Pandorabots 為 SuperFish 提供標準化的中國農村英語學習解決方案
    • 專利分析
      • 調查方法
      • 文件類型
      • 創新與專利申請
      • 頂尖申請者
    • 波特五力分析
      • 新進入者的威脅
      • 替代威脅
      • 供應商的議價能力
      • 買方的議價能力
      • 競爭對手之間的激烈敵對關係
  • 法規的影響
    • 一般數據保護條例
    • 健康保險互操作性和責任法案
    • 支付卡行業數據安全標準
    • SARBANES-2002 OXLEY法
    • SOC2 II 類合規性
    • ISO/IEC 27001
    • Gramm-Leach-Blyley 方法
  • 2022-2023年主要會議和活動
  • 關稅和法規
    • 監管機構、政府機構和其他組織
  • 價格分析
  • 主要利益相關者和採購標準
    • 採購流程中的主要利益相關者
    • 購買標準

第 6 章按服務類型劃分的機器人服務市場

  • 簡介
    • 服務類型：Bot服務市場推廣因子
    • 服務類型：COVID-19 的影響
  • 框架
    • bot 框架提供高度集成的工具來幫助 bot 開發人員解決問題。
      • 機器人分析
      • 自然語言處理 (NLP)
      • 機器學習 (ML)
      • 人工神經網絡 (ANN)
  • 平台
    • BOT PLATFORM 為用戶提供了一個工具包，用於創建可以實時處理複雜查詢的交互式 BOT。

第 7 章按渠道類型劃分的機器人服務市場

  • 簡介
    • 渠道模式：機器人服務市場促進者
    • 渠道模式：COVID-19 的影響
  • 網站
    • 通過網站部署的機器人服務可能對銷售和營銷支持有用
  • 聯絡中心
    • 機器人幫助企業改善客戶體驗，使企業能夠降低基礎設施成本並重建其整個運營。
  • 社交媒體
    • 在社交媒體平台上實施的 Bot 可幫助組織提供個性化體驗
  • 移動應用
    • 跨移動應用程序的 Bot 改善了用戶體驗並減少了查找正確內容所需的時間

第 8 章按交互類型劃分的機器人服務市場

  • 簡介
    • 交互類型：Bot服務市場促進因子
    • 交互類型：COVID-19 的影響
  • 文字和富媒體
    • 富文本媒體交互類型可提高響應率並增強跨不同渠道的客戶參與度。
  • 音頻
    • 音頻界面模式讓客戶見證機器人的交互質量
  • 視頻
    • 視頻機器人幫助企業改善客戶服務並提供個性化的用戶體驗

第 9 章按業務功能劃分的機器人服務市場

  • 簡介
    • 業務功能：Bot服務市場促進因素
    • 業務職能：COVID-19 的影響
  • 銷售與營銷
    • 增長需要有效地了解客戶購買模式，以增加銷售和營銷業務職能部門對機器人服務的需求。
  • 人員
    • 機器人服務使組織能夠自動化員工參與並實時管理複雜的入職流程。
  • 金融
    • 機器人服務支持跟蹤良好發票並自動執行後續流程的財務團隊，以確保按時支付和關閉發票。
  • 供應鍊和物流
    • 組織部署機器人來增強其供應鍊和物流運營，改善客戶體驗和整體生產力。
  • 信息技術
    • 企業部署機器人來簡化複雜的 IT 流程並實時更快地解決客戶查詢

第 10 章按應用劃分的機器人服務市場

  • 簡介
    • 應用：機器人服務市場推廣者
    • 應用：COVID-19 的影響
  • 客戶參與和保留
    • 將聊天機器人納入您的客戶服務流程可以降低客戶服務成本
  • 勞動力管理
    • 聊天機器人的真正價值在於其自動化迭代過程的能力。
  • 代理績效管理
    • 借助機器人服務，公司可以跟蹤代理績效並提供與客戶相關的答案。
  • 內容管理
    • 聊天機器人可以提供新聞摘要，並通過編程在不同渠道分享特定內容。
  • 日程安排
    • 可以對聊天機器人進行編程，以通過電話或視頻在首選地點確認會議
  • 新員工培訓
      在
    • 機器人服務的幫助下，組織可以自動執行諸如員工參與、進行調查和獲取反饋等任務。
  • 其他應用

第 11 章按部署模式劃分的機器人服務市場

  • 簡介
    • 部署模式：機器人服務市場推廣 市場推廣因素
    • 部署模式：COVID-19 的影響
  • 本地
    • 使用本地部署模式部署機器人服務的數據敏感型組織
  • 雲
    • 可擴展性和易於實施等優勢可加速雲部署模式的發展

第 12 章按組織規模劃分的機器人服務市場

  • 簡介
    • 組織規模：Bot 服務市場促進因素
    • 組織規模：COVID-19 的影響
  • 大公司
    • 大公司越來越多地採用機器人服務來優化複雜的人力資源流程。
  • 中小企業
    • 採用新技術解決問題、加強業務流程並增加中小企業對機器人服務的需求

第 13 章行業特定機器人服務行業特定

  • 簡介
    • VERTICALS：BOT SERVICES 市場促進因素
    • 行業：COVID-19 的影響
  • 銀行、金融服務和保險
    • 聊天機器人通過快速回答客戶問題來幫助銀行提高客戶滿意度。
  • 零售和電子商務
    • 增加零售和電子商務公司特定機器人服務的推出，以提高客戶參與度和忠誠度
  • 醫療保健和生命科學
    • Bot 服務可以改善患者體驗，提高患者忠誠度，同時提高組織效率。
  • 媒體和娛樂
    • 媒體和娛樂公司正在通過在各種渠道上部署機器人服務來優化他們的客戶體驗。
  • 旅行和款待
    • 越來越需要自動化預訂流程和日程管理，以推動整個旅遊和酒店業的機器人服務增長。
  • IT/通信
    • 對有效聯絡中心的需求增加並降低運營成本，以推動 IT 和電信垂直行業採用機器人服務
  • 政府
    • Bot 服務可幫助政府機構通過多種渠道與公民進行有效互動
  • 其他行業

第 14 章區域機器人服務市場

  • 簡介
    • 地區：COVID-19 的影響
  • 北美
    • 北美：BOT 服務市場促進因素
    • 美國
      • 越來越多地實施基於 AI 和 ML 的解決方案，以增強客戶服務以推動美國市場
    • 加拿大
      • 企業特定的實現，以增強客戶體驗並處理複雜的業務流程，以加速加拿大機器人服務的增長
  • 歐洲
    • 歐洲：推動機器人服務市場的因素
    • 英國
      • 來自各種投資者的大量資金流入，以促進在英國採用機器人服務
    • 德國
      • 在政府支持下，高技能勞動力的崛起促進了德國機器人服務的發展
    • 法國
      • 大中型組織越來越接受數字化轉型，以加速法國機器人服務市場的增長
    • 其他歐洲
  • 亞太地區
    • 亞太地區：推動機器人服務市場的因素
    • 中國
      • 增加對人工智能技術的投資以促進機器人服務在中國的採用
    • 日本
      • 採用先進技術以及防止組織中的數據洩露的需求正在推動機器人服務在日本的採用。
    • 印度
      • 增加對初創公司的投資並在各個領域增加對人工智能技術的使用，以促使印度採用機器人服務
    • 其他亞太地區
  • 中東和非洲
    • 中東和非洲：推動機器人服務市場的因素
    • 沙特阿拉伯王國
      • 公用事業和政府部門為機器人服務市場提供了重要的增長機會
    • 阿拉伯聯合酋長國
      • 需要實時解決客戶查詢並提高工作效率，以推動對機器人服務的需求
    • 南非
      • 增強客戶體驗以推動對機器人服務的需求日益增長
    • 中東其他地區和非洲
  • 拉丁美洲
    • 拉丁美洲：BOT 服務市場促進因素
    • 巴西
      • 巴西初創企業正在投資於機器人服務和流程自動化等新技術
    • 墨西哥
      • 墨西哥成為拉丁美洲第一個國家，世界前 10 個國家之一，引入了官方人工智能戰略，為其他國家樹立了榜樣。
    • 其他拉丁美洲

第15章競爭態勢

  • 概覽
  • 主要玩家策略
  • 收入分析
    • 過往收益分析
  • 市場份額分析
  • 市場評估框架
  • 公司評價象限
    • 星星
    • 新興領導者
    • 流行
    • 參與者
  • 競爭基準
    • 公司產品足跡
  • 創業/中小企業評估象限
    • 進步公司
    • 響應式公司
    • 充滿活力的公司
    • 起始塊
  • 初創企業/中小企業的競爭性基準測試
    • 公司產品足跡
  • 競爭場景和趨勢
    • 推出新產品
    • 優惠

第 16 章公司簡介

  • INTRODUCTION
  • KEY PLAYERS
    • MICROSOFT
    • IBM
    • GOOGLE
    • ORACLE
    • AWS
    • META
    • ARTIFICIAL SOLUTIONS
    • EGAIN
    • BAIDU
    • INBENTA
    • ALVARIA
    • SAP
    • CM.COM
    • CREATIVE VIRTUAL
    • KORE.AI
    • [24]7.AI
    • GUPSHUP
    • PANDORABOTS
    • BOTEGO
    • HAPTIK
  • STARTUP OR SMES
    • RASA
    • CHATFUEL
    • PYPESTREAM
    • AVAAMO
    • WEBIO
    • SERVISBOT
    • MORPH.AI
    • COGNIGY
    • ENTERPRISE BOT
    • ENGATI

第 17 章相鄰和相關市場

  • 簡介
  • 聊天機器人市場-2026 年全球預測
    • 市場定義
    • 市場概況
    • 按組件劃分的聊天機器人市場
    • 按類型劃分的聊天機器人市場
    • 按部署模式劃分的聊天機器人市場
    • 按渠道整合的聊天機器人市場
    • 按組織規模劃分的聊天機器人市場
    • 聊天機器人市場，按業務功能
    • 聊天機器人市場，按應用
    • 行業聊天行業市場
    • 區域聊天機器人市場
  • 自然語言處理市場
    • 市場定義
    • 市場概況
    • 按組件劃分的自然語言處理市場
    • 按部署模式劃分的自然語言處理市場
    • 按組織規模劃分的自然語言處理市場
    • 按類型劃分的自然語言處理市場
    • 按應用劃分的自然語言處理市場
    • 按行業劃分的面向行業的自然語言處理
    • 按地區劃分的自然語言處理市場

第18章附錄

簡介目錄
Product Code: TC 5580

The bot services market size to grow from USD 1.6 billion in 2022 to USD 6.7 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 33.2% during the forecast period. Various factors such as initiatives toward the development of self-learning chatbots to deliver a more human-like conversational experience, ability to replace human agents in customer service, and increased user engagement on social media platforms are expected to offer opportunities for the bot services market across the globe.

Bots are primarily used as conversational tools to improve end user engagement, thereby enhancing user experience. Bots have become a predominant component of Artificial Intelligence (AI)-driven technologies over the past few years. There have been continuous developments in building highly advanced frameworks and platforms catering efficiently to end users. Recently, the deployment of bots has increased significantly across various verticals.

Factors such as integration of chatbots with social media to augment marketing strategy, innovations in AI and ML technologies for chatbots resulting in better customer experience, rise in the need for 24x7 customer support at a lower operational cost, customer service automation during and post COVID-19, and minimization of human errors leads to an increase in accuracy to boost the demand for bot services in the market. Organizations across the globe are dedicatedly investing in AI and ML technologies to improve user experience and stay competitive in the changing market environment.

COVID-19 has wreaked havoc on people's lives and livelihoods across the world. Individuals and customer service teams found it challenging to handle client inquiries and maintain satisfaction metrics to respond to the urgent needs of their customers. Customer interactions with firms, particularly during times of crisis, can have an instant and lasting impact on their sense of trust and loyalty. customer experience (CX) leaders need to adapt and react to longer-term changes in customer behavior. Both the decrease in disposable income and the psychological impact of COVID-19 have an impact on consumer spending. Consumers in Brazil, Japan, Italy, and Spain, for example, have ceased making non-essential purchases and have become pickier, feeling more financially overwhelmed and prioritizing financial recovery.

The content management segment to register for the highest CAGR during the forecast period

Based on applications, the bot services market is segmented into customer engagement & retention, workforce management, agent performance management, content management, appointment scheduling, employee onboarding, and others. The content management segment is estimated to witness highest growth rate during the forecast period. Customers these days want to read bite-sized content. Bots can be programmed to just offer news summaries and share specifics as users inquire about them. Thus, bots become a great technique for media publishers to communicate with their audiences and track engagement to acquire useful information about reader interests. Moreover, bot services provide users with a rich set of responses by incorporating various different response types to improve the user experience.

The social media segment to account for the highest CAGR during the forecast period

Based on mode of channel, the bot services market is segmented into website, contact centers, social media, and mobile applications. The social media segment is expected grow at a higher CAGR during the forecast period. Social media platforms include messenger apps and social media networks, such as Facebook, YouTube, Twitter, Skype, Kik, Telegram, WeChat, and Line. A massive number of active users on social media platforms is driving businesses to communicate with the end users via bots on these social media platforms. Bots implemented on social media platforms help organizations deliver personalized, self-service, and social experiences to their customers.

Asia Pacific to hold highest CAGR during the forecast period

The Asia Pacific bot services market is expected to grow at the highest CAGR of 36.3% from 2022 to 2027, due to growing industrialization in this region. This market is also expected to account for the significant adoption of bot services. Countries such as China, Japan, and India are leveraging information-intensive AI technologies, and bot service is one of the leading technology trends. IBM, Google, and AWS are the vendors operating in the market in the region, along with several other significant bot service providers. The adoption of AI technologies by companies across different verticals, such as BFSI, travel, hospitality, and retail, is expected to contribute to the growth of the bot services market in Asia Pacific.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the bot services market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
  • By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%

The report includes the study of key players offering bot services. It profiles major vendors in the bot services market. The major players in the bot services market include Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), Meta (US), Artificial Solutions (Sweden), eGain (US), Baidu (China), Inbenta (US), Alvaria (US), SAP (Germany), CM.com (Netherlands), Creative Virtual (UK), Kore.ai (US), [24]7.ai (US), Gupshup (US), Rasa (US), Pandorabots (US), Botego (US), Chatfuel (US), Pypestream (US), Avaamo (US), Webio (Ireland), ServisBOT (US), Morph.ai (India), Cognigy (Germany), Enterprise Bot (Switzerland), Engati (US), and Haptik (US).

Research Coverage

The market study covers the bot services market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, mapping type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall bot services market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY CONSIDERED
    • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019-2021
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 BOT SERVICES MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
    • TABLE 2 PRIMARY INTERVIEWS
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 BOT SERVICES MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM BOT PLATFORM/ FRAMEWORK OF THE BOT SERVICES MARKET
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM THE PLATFORM AND FRAMEWORK OF THE BOT SERVICES MARKET
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SERVICES OF THE BOT SERVICES MARKET
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF BOT SERVICES THROUGH OVERALL BOT SERVICES SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 3 FACTOR ANALYSIS
  • 2.5 COMPANY EVALUATION MATRIX METHODOLOGY
    • FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
    • FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.7 ASSUMPTIONS FOR THE STUDY
  • 2.8 LIMITATIONS OF THE STUDY
  • 2.9 IMPLICATIONS OF COVID-19 ON THE BOT SERVICES MARKET
    • FIGURE 10 QUARTERLY IMPACT OF COVID-19 DURING 2020-2021

3 EXECUTIVE SUMMARY

    • TABLE 4 GLOBAL BOT SERVICES MARKET SIZE AND GROWTH RATE, 2016-2021 (USD MILLION, Y-O-Y %)
    • TABLE 5 GLOBAL BOT SERVICES MARKET SIZE AND GROWTH RATE, 2022-2027 (USD MILLION, Y-O-Y %)
    • FIGURE 11 BOT SERVICES MARKET SNAPSHOT, BY SERVICE
    • FIGURE 12 BOT SERVICES MARKET SNAPSHOT, BY INTERACTION TYPE
    • FIGURE 13 BOT SERVICES MARKET SNAPSHOT, BY MODE OF CHANNEL
    • FIGURE 14 BOT SERVICES MARKET SNAPSHOT, BY APPLICATION
    • FIGURE 15 BOT SERVICES MARKET SNAPSHOT, BY BUSINESS FUNCTION
    • FIGURE 16 BOT SERVICES MARKET SNAPSHOT, BY DEPLOYMENT MODE
    • FIGURE 17 BOT SERVICES MARKET SNAPSHOT, BY ORGANIZATION SIZE
    • FIGURE 18 BOT SERVICES MARKET SNAPSHOT, BY VERTICAL
    • FIGURE 19 BOT SERVICES MARKET SNAPSHOT, BY REGION

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE BOT SERVICES MARKET
    • FIGURE 20 INTEGRATION OF CHATBOTS WITH SOCIAL MEDIA PLATFORMS TO AUGMENT MARKETING STRATEGY AND INNOVATIONS IN AI AND ML TECHNOLOGIES
  • 4.2 BOT SERVICES MARKET: TOP 3 APPLICATIONS
    • FIGURE 21 THE CONTENT MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • 4.3 BOT SERVICES MARKET: BY REGION
    • FIGURE 22 NORTH AMERICA TO HOLD THE LARGEST MARKET SHARE IN 2022
  • 4.4 BOT SERVICES MARKET IN NORTH AMERICA, BY TOP 3 APPLICATIONS AND VERTICALS
    • FIGURE 23 THE CUSTOMER ENGAGEMENT & RETENTION APPLICATION AND THE BFSI VERTICAL TO ACCOUNT FOR THE LARGEST SHARES IN THE BOT SERVICES MARKET IN 2022

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: BOT SERVICES MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Integration of chatbots with social media to augment marketing strategy
      • 5.2.1.2 Innovations in AI and ML technologies for chatbots resulting in better customer experience
      • 5.2.1.3 Rise in the need for 24×7 customer support at a lower operational cost
      • 5.2.1.4 Customer service automation during and post COVID-19
      • 5.2.1.5 Minimization of human error leads to increased accuracy
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 The inability of bots to make dynamic decisions
      • 5.2.2.2 Lack of accuracy in voice authentication of users
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increased user engagement on social media platforms
      • 5.2.3.2 Ability to replace human agents in customer service
      • 5.2.3.3 Initiatives toward the development of self-learning chatbots to deliver a more human-like conversational experience
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Reluctance to use bots for various applications
      • 5.2.4.2 Shortage of skilled workforce for better execution of the AI-based projects
    • 5.2.5 CUMULATIVE GROWTH ANALYSIS
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 BOT SERVICES MARKET: EVOLUTION
    • FIGURE 25 EVOLUTION OF THE BOT SERVICES MARKET
    • 5.3.2 ECOSYSTEM
    • FIGURE 26 BOT SERVICES MARKET: ECOSYSTEM
    • 5.3.3 SUPPLY CHAIN ANALYSIS
    • FIGURE 27 SUPPLY CHAIN ANALYSIS
    • TABLE 6 BOT SERVICES MARKET: SUPPLY CHAIN
    • 5.3.4 BOT SERVICES MARKET: COVID-19 IMPACT
    • 5.3.5 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF THE BOT SERVICES MARKET
    • FIGURE 28 BOT SERVICES MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 5.4 TECHNOLOGY ANALYSIS
    • 5.4.1 MACHINE LEARNING AND BOT SERVICES
    • 5.4.2 DEEP LEARNING AND BOT SERVICES
    • 5.4.3 NATURAL LANGUAGE PROCESSING AND BOT SERVICES
    • 5.4.4 CLOUD COMPUTING AND BOT SERVICES
  • 5.5 CASE STUDY ANALYSIS
    • 5.5.1 BFSI
      • 5.5.1.1 Case study: Bradesco and IBM worked together to develop a team that taught Watson about the bank's products and services to have better interaction with clients
      • 5.5.1.2 Case study: Elevating Customer Support for the World's Leading Insurance Company using AI
      • 5.5.1.3 Case study: Enabling Citibank to provide seamless customer experience
    • 5.5.2 HEALTHCARE AND LIFE SCIENCES
      • 5.5.2.1 Case study: Simplifying prescription refills through a contextual AI assistant
      • 5.5.2.2 Case study: Tia selected RASA's NLU to incorporate HIPAA compliance and improve efficiency
    • 5.5.3 IT AND TELECOM
      • 5.5.3.1 Case study: Transforming Vodafone's customer care strategy with a digital assistant built on Azure Cognitive Services
      • 5.5.3.2 Case study: Elisa Estonia deployed MindTitan's chatbot to analyze incoming chats and improve customer experience
      • 5.5.3.3 Case study: Indian Information Systems Company processes huge number of records a day
    • 5.5.4 RETAIL AND ECOMMERCE
      • 5.5.4.1 Case study: Leading UK integrated digital retailer and financial services provider fully embraced conversational customer engagement
      • 5.5.4.2 Case study: Enabling retailers to deliver personalized conversational experiences across a range of customer touchpoints
    • 5.5.5 GOVERNMENT
      • 5.5.5.1 Case study: Built the World's Largest WhatsApp Chatbot for The Government of India's official COVID-19 helpline
    • 5.5.6 MEDIA AND ENTERTAINMENT
      • 5.5.6.1 Case study: Dream 11 implemented Haptik's support bot to enhance customer support during seasonal spike
      • 5.5.6.2 Case study: Pandorabots provides SuperFish with a standardized solution for English language learning in rural areas of China
    • 5.5.7 PATENT ANALYSIS
      • 5.5.7.1 Methodology
      • 5.5.7.2 Document Type
    • TABLE 7 PATENTS FILED, 2018-2021
      • 5.5.7.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 29 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2019-2022
      • 5.5.7.4 Top applicants
    • FIGURE 30 TOP 10 COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2019-2022
    • 5.5.8 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 8 IMPACT OF EACH FORCE ON THE BOT SERVICES MARKET
    • FIGURE 31 PORTER'S FIVE FORCES ANALYSIS
      • 5.5.8.1 Threat of new entrants
      • 5.5.8.2 Threat of substitutes
      • 5.5.8.3 Bargaining power of suppliers
      • 5.5.8.4 Bargaining power of buyers
      • 5.5.8.5 Intensity of competitive rivalry
  • 5.6 REGULATORY IMPLICATIONS
    • 5.6.1 GENERAL DATA PROTECTION REGULATIONS
    • 5.6.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.6.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARDS
    • 5.6.4 SARBANES-OXLEY ACT OF 2002
    • 5.6.5 SOC 2 TYPE II COMPLIANCE
    • 5.6.6 ISO/IEC 27001
    • 5.6.7 THE GRAMM-LEACH-BLILEY ACT
  • 5.7 KEY CONFERENCES & EVENTS IN 2022-2023
    • TABLE 9 BOT SERVICES MARKET: DETAILED LIST OF CONFERENCES & EVENTS
  • 5.8 TARIFF AND REGULATORY LANDSCAPE
    • 5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 13 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 14 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.9 PRICING ANALYSIS
    • TABLE 15 AVERAGE SELLING PRICE RANGES OF SUBSCRIPTION-BASED BOT SERVICES
  • 5.10 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 32 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS
    • TABLE 16 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
    • 5.10.2 BUYING CRITERIA
    • FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE APPLICATION
    • TABLE 17 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS

6 BOT SERVICES MARKET, BY SERVICE TYPE

  • 6.1 INTRODUCTION
    • 6.1.1 SERVICE TYPE: BOT SERVICES MARKET DRIVERS
    • 6.1.2 SERVICE TYPE: COVID-19 IMPACT
    • FIGURE 34 PLATFORM EXPECTED TO BE THE LARGER MARKET SEGMENT DURING THE FORECAST PERIOD
    • TABLE 18 BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 19 BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
  • 6.2 FRAMEWORK
    • 6.2.1 BOT FRAMEWORKS PROVIDE HIGHLY INTEGRATED TOOLS THAT HELP BOT DEVELOPERS TACKLE PROBLEMS
      • 6.2.1.1 Bot Analytics
      • 6.2.1.2 Natural Language Processing (NLP)
      • 6.2.1.3 Machine Learning (ML)
      • 6.2.1.4 Artificial Neural Network (ANN)
    • TABLE 20 FRAMEWORK: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 21 FRAMEWORK: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 6.3 PLATFORM
    • 6.3.1 BOT PLATFORM OFFERS USERS A TOOLKIT TO CREATE AN INTERACTIVE BOT THAT CAN HANDLE COMPLEX QUERIES IN REAL TIME
    • TABLE 22 PLATFORM: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 23 PLATFORM: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

7 BOT SERVICES MARKET, BY MODE OF CHANNEL

  • 7.1 INTRODUCTION
    • 7.1.1 MODE OF CHANNEL: BOT SERVICES MARKET DRIVERS
    • 7.1.2 MODE OF CHANNEL: COVID-19 IMPACT
    • FIGURE 35 THE SOCIAL MEDIA SEGMENT TO GROW AT THE HIGHEST GROWTH RATE IN 2022
    • TABLE 24 BOT SERVICES MARKET, BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 25 BOT SERVICES MARKET, BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
  • 7.2 WEBSITES
    • 7.2.1 BOT SERVICES DEPLOYED OVER WEBSITES CAN BE USEFUL FOR SALES AND MARKETING SUPPORT
    • TABLE 26 WEBSITES: BOT SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 27 WEBSITES: BOT SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 7.3 CONTACT CENTERS
    • 7.3.1 BOTS HELP BUSINESSES IMPROVE CUSTOMER EXPERIENCE AND ENABLE BUSINESSES RESTRUCTURE THEIR ENTIRE OPERATIONS AT REDUCED INFRASTRUCTURE COST
    • TABLE 28 CONTACT CENTERS: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 29 CONTACT CENTERS: BOT SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 7.4 SOCIAL MEDIA
    • 7.4.1 BOTS IMPLEMENTED ON SOCIAL MEDIA PLATFORMS HELP ORGANIZATIONS DELIVER PERSONALIZED EXPERIENCES
    • TABLE 30 SOCIAL MEDIA: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 31 SOCIAL MEDIA: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 7.5 MOBILE APPLICATIONS
    • 7.5.1 BOTS ACROSS MOBILE APPLICATIONS IMPROVE USER EXPERIENCE AND REDUCE THE TIME NEEDED TO FIND THE RIGHT CONTENT
    • TABLE 32 MOBILE APPLICATIONS: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 33 MOBILE APPLICATIONS: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

8 BOT SERVICES MARKET, BY INTERACTION TYPE

  • 8.1 INTRODUCTION
    • 8.1.1 INTERACTION TYPE: BOT SERVICES MARKET DRIVERS
    • 8.1.2 INTERACTION TYPE: COVID-19 IMPACT
    • FIGURE 36 TEXT & RICH MEDIA SEGMENT TO LEAD THE BOT SERVICES MARKET IN 2022
    • TABLE 34 BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 35 BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
  • 8.2 TEXT & RICH MEDIA
    • 8.2.1 TEXT & RICH MEDIA INTERACTION TYPE INCREASES RESPONSE RATE AND THEREBY IMPROVES CUSTOMER ENGAGEMENT ACROSS DIFFERENT CHANNELS
    • TABLE 36 TEXT & RICH MEDIA: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 37 TEXT & RICH MEDIA: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 8.3 AUDIO
    • 8.3.1 BY USING THE AUDIO INTERFACE MODE, CUSTOMERS CAN WITNESS THE INTERACTIVE QUALITY OF BOTS
    • TABLE 38 AUDIO: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 39 AUDIO: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 8.4 VIDEO
    • 8.4.1 VIDEO BOTS HELP COMPANIES ELEVATE CUSTOMER SERVICE AND PROVIDE A PERSONALIZED USER EXPERIENCE
    • TABLE 40 VIDEO: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 41 VIDEO: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

9 BOT SERVICES MARKET, BY BUSINESS FUNCTION

  • 9.1 INTRODUCTION
    • 9.1.1 BUSINESS FUNCTION: BOT SERVICES MARKET DRIVERS
    • 9.1.2 BUSINESS FUNCTION: COVID-19 IMPACT
    • FIGURE 37 THE HUMAN RESOURCE SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 42 BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 43 BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
  • 9.2 SALES & MARKETING
    • 9.2.1 GROWING NEED TO EFFECTIVELY RECOGNIZE CUSTOMER PURCHASING PATTERNS TO BOOST THE DEMAND FOR BOT SERVICES ACROSS SALES & MARKETING BUSINESS FUNCTION
    • TABLE 44 SALES & MARKETING: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 45 SALES & MARKETING: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 9.3 HUMAN RESOURCE
    • 9.3.1 BOT SERVICES ENABLE ORGANIZATIONS TO AUTOMATE EMPLOYEE ENGAGEMENT AND MANAGE COMPLEX ONBOARDING PROCESSES IN REAL TIME
    • TABLE 46 HUMAN RESOURCE: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 47 HUMAN RESOURCE: BOT SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.4 FINANCE
    • 9.4.1 BOT SERVICES SUPPORT FINANCE TEAMS TRACK OUTSTANDING INVOICES AND AUTOMATE THE FOLLOW-UP PROCESS TO ENSURE THAT INVOICES ARE PAID AND CLOSED ON TIME
    • TABLE 48 FINANCE: BOT SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 49 FINANCE: BOT SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 9.5 SUPPLY CHAIN & LOGISTICS
    • 9.5.1 ORGANIZATIONS DEPLOY BOTS TO ENHANCE THEIR SUPPLY CHAIN & LOGISTICS OPERATIONS TO DELIVER IMPROVED CUSTOMER EXPERIENCE AND OVERALL PRODUCTIVITY
    • TABLE 50 SUPPLY CHAIN & LOGISTICS: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 51 SUPPLY CHAIN & LOGISTICS: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 9.6 INFORMATION TECHNOLOGY
    • 9.6.1 COMPANIES DEPLOY BOTS TO STREAMLINE COMPLEX IT PROCESSES AND RESOLVE CUSTOMER QUERIES AT A FASTER RATE IN REAL TIME
    • TABLE 52 INFORMATION TECHNOLOGY: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 53 INFORMATION TECHNOLOGY: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

10 BOT SERVICES MARKET, BY APPLICATION

  • 10.1 INTRODUCTION
    • 10.1.1 APPLICATIONS: BOT SERVICES MARKET DRIVERS
    • 10.1.2 APPLICATIONS: COVID-19 IMPACT
    • FIGURE 38 THE CONTENT MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 54 BOT SERVICES MARKET BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 55 BOT SERVICES MARKET BY APPLICATION, 2022-2027 (USD MILLION)
  • 10.2 CUSTOMER ENGAGEMENT & RETENTION
    • 10.2.1 INCORPORATING CHATBOTS INTO THE CUSTOMER SERVICE PROCESS CAN REDUCE CUSTOMER SERVICE COSTS
    • TABLE 56 CUSTOMER ENGAGEMENT & RETENTION: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 57 CUSTOMER ENGAGEMENT & RETENTION: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.3 WORKFORCE MANAGEMENT
    • 10.3.1 A CHATBOT'S TRUE VALUE COMES FROM ITS ABILITY TO AUTOMATE REPETITIVE PROCESSES
    • TABLE 58 WORKFORCE MANAGEMENT: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 59 WORKFORCE MANAGEMENT: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.4 AGENT PERFORMANCE MANAGEMENT
    • 10.4.1 WITH THE HELP OF BOT SERVICES, FIRMS CAN TRACK AGENT PERFORMANCE AND PROVIDE RELEVANT ANSWERS TO CUSTOMERS
    • TABLE 60 AGENT PERFORMANCE MANAGEMENT: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 61 AGENT PERFORMANCE MANAGEMENT: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.5 CONTENT MANAGEMENT
    • 10.5.1 CHATBOTS CAN BE PROGRAMMED TO OFFER NEWS SUMMARIES AND SHARE SPECIFIC CONTENT ACROSS VARIOUS CHANNELS
    • TABLE 62 CONTENT MANAGEMENT: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 63 CONTENT MANAGEMENT: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.6 APPOINTMENT SCHEDULING
    • 10.6.1 CHATBOTS CAN BE PROGRAMMED TO CONFIRM MEETINGS VIA PHONE OR VIDEO AT A PREFERRED PLACE
    • TABLE 64 APPOINTMENT SCHEDULING: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 65 APPOINTMENT SCHEDULING: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.7 EMPLOYEE ONBOARDING
    • 10.7.1 WITH THE HELP OF BOT SERVICES, ORGANIZATIONS CAN AUTOMATE TASKS SUCH AS ENGAGING EMPLOYEES, CONDUCTING SURVEYS, AND TAKING FEEDBACK
    • TABLE 66 EMPLOYEE ONBOARDING: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 67 EMPLOYEE ONBOARDING: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 10.8 OTHER APPLICATIONS
    • TABLE 68 OTHER APPLICATIONS: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 69 OTHER APPLICATIONS: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

11 BOT SERVICES MARKET, BY DEPLOYMENT MODE

  • 11.1 INTRODUCTION
    • 11.1.1 DEPLOYMENT MODES: BOT SERVICES MARKET DRIVERS
    • 11.1.2 DEPLOYMENT MODES: COVID-19 IMPACT
    • FIGURE 39 THE CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 70 BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 71 BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
  • 11.2 ON-PREMISES
    • 11.2.1 DATA-SENSITIVE ORGANIZATIONS TO ADOPT THE ON-PREMISES DEPLOYMENT MODE TO DEPLOY BOT SERVICES
    • TABLE 72 ON-PREMISES BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 73 ON-PREMISES: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 11.3 CLOUD
    • 11.3.1 BENEFITS SUCH AS SCALABILITY AND EASE OF IMPLEMENTATION TO BOOST THE GROWTH OF THE CLOUD DEPLOYMENT MODE
    • TABLE 74 CLOUD: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 75 CLOUD: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

12 BOT SERVICES MARKET, BY ORGANIZATION SIZE

  • 12.1 INTRODUCTION
    • 12.1.1 ORGANIZATION SIZE: BOT SERVICES MARKET DRIVERS
    • 12.1.2 ORGANIZATION SIZE: COVID-19 IMPACT
    • FIGURE 40 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO WITNESS A HIGHER GROWTH RATE DURING THE FORECAST PERIOD
    • TABLE 76 BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 77 BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
  • 12.2 LARGE ENTERPRISES
    • 12.2.1 THE ADOPTION OF BOT SERVICES IS ON THE RISE AMONG LARGE ENTERPRISES TO OPTIMIZE COMPLEX HR PROCESSES
    • TABLE 78 LARGE ENTERPRISES: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 79 LARGE ENTERPRISES: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 12.3 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 12.3.1 ADOPTION OF NEW TECHNOLOGIES TO FIX ISSUES AND ENHANCE BUSINESS PROCESSES TO BOOST THE DEMAND FOR BOT SERVICES AMONG SMES
    • TABLE 80 SMALL AND MEDIUM-SIZED ENTERPRISES: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 81 SMALL AND MEDIUM-SIZED ENTERPRISES: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

13 BOT SERVICES MARKET, BY VERTICAL

  • 13.1 INTRODUCTION
    • 13.1.1 VERTICALS: BOT SERVICES MARKET DRIVERS
    • 13.1.2 VERTICALS: COVID-19 IMPACT
    • FIGURE 41 THE HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 82 BOT SERVICES MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 83 BOT SERVICES MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
  • 13.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 13.2.1 CHATBOTS HELP BANKS ENHANCE CUSTOMER SATISFACTION THROUGH THEIR PROMPT REPLIES TO CUSTOMER QUERIES
    • TABLE 84 BFSI: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 85 BFSI: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.3 RETAIL & ECOMMERCE
    • 13.3.1 INCREASING DEPLOYMENT OF BOT SERVICES BY RETAIL & ECOMMERCE FIRMS TO LEAD TO GREATER CUSTOMER ENGAGEMENT AND LOYALTY
    • TABLE 86 RETAIL & ECOMMERCE: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 87 RETAIL AND ECOMMERCE: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.4 HEALTHCARE & LIFE SCIENCES
    • 13.4.1 BOT SERVICES CAN ENHANCE PATIENT EXPERIENCE AND BUILD PATIENT LOYALTY WHILE IMPROVING ORGANIZATIONAL EFFICIENCY
    • TABLE 88 HEALTHCARE & LIFE SCIENCES: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 89 HEALTHCARE & LIFE SCIENCES: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.5 MEDIA & ENTERTAINMENT
    • 13.5.1 MEDIA AND ENTERTAINMENT COMPANIES ARE OPTIMIZING CUSTOMER EXPERIENCE BY DEPLOYING BOT SERVICES ACROSS DIFFERENT CHANNELS
    • TABLE 90 MEDIA & ENTERTAINMENT: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 91 MEDIA & ENTERTAINMENT: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.6 TRAVEL & HOSPITALITY
    • 13.6.1 THE RISING NEED TO AUTOMATE BOOKING PROCESSES AND SCHEDULE MANAGEMENT TO DRIVE THE GROWTH OF BOT SERVICES ACROSS THE TRAVEL & HOSPITALITY INDUSTRY
    • TABLE 92 TRAVEL & HOSPITALITY: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 93 TRAVEL & HOSPITALITY: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.7 IT & TELECOM
    • 13.7.1 THE GROWING DEMAND FOR EFFECTIVE CONTACT CENTERS AND OPERATIONAL COST REDUCTION TO GIVE A BOOST TO THE ADOPTION OF BOT SERVICES ACROSS IT & TELECOM VERTICAL
    • TABLE 94 IT & TELECOM: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 95 IT & TELECOM: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.8 GOVERNMENT
    • 13.8.1 BOT SERVICES HELP GOVERNMENT AGENCIES ENGAGE WITH THEIR CITIZENS EFFICIENTLY THROUGH VARIOUS CHANNELS
    • TABLE 96 GOVERNMENT: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 97 GOVERNMENT: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)
  • 13.9 OTHER VERTICALS
    • TABLE 98 OTHER VERTICALS: BOT SERVICES MARKET BY REGION, 2016-2021 (USD MILLION)
    • TABLE 99 OTHER VERTICALS: BOT SERVICES MARKET BY REGION, 2022-2027 (USD MILLION)

14 BOT SERVICES MARKET, BY REGION

  • 14.1 INTRODUCTION
    • 14.1.1 REGION: COVID-19 IMPACT
    • FIGURE 42 INDIA TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • FIGURE 43 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR THE DURING FORECAST PERIOD
    • TABLE 100 BOT SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 101 BOT SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 14.2 NORTH AMERICA
    • 14.2.1 NORTH AMERICA: BOT SERVICES MARKET DRIVERS
    • FIGURE 44 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 102 NORTH AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 103 NORTH AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • TABLE 104 NORTH AMERICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 105 NORTH AMERICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
    • TABLE 106 NORTH AMERICA: BOT SERVICES MARKET BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 107 NORTH AMERICA: BOT SERVICES MARKET BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
    • TABLE 108 NORTH AMERICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 109 NORTH AMERICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 110 NORTH AMERICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 111 NORTH AMERICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 112 NORTH AMERICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 113 NORTH AMERICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 114 NORTH AMERICA: BOT SERVICES MARKET BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 115 NORTH AMERICA: BOT SERVICES MARKET BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 116 NORTH AMERICA: BOT SERVICES MARKET BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 117 NORTH AMERICA: BOT SERVICES MARKET BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 118 NORTH AMERICA: BOT SERVICES MARKET BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 119 NORTH AMERICA: BOT SERVICES MARKET BY COUNTRY, 2022-2027 (USD MILLION)
    • 14.2.2 UNITED STATES
      • 14.2.2.1 Increased implementation of AI and ML-based solutions for enhanced customer service to drive the market in the US
    • TABLE 120 UNITED STATES: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 121 UNITED STATES: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.2.3 CANADA
      • 14.2.3.1 The realization by companies to enhance customer experience and handle complex business processes to drive the growth of bot services in Canada
    • TABLE 122 CANADA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 123 CANADA: BOT SERVICES MARKET, BY SERVICE TYPE, 2022-2027 (USD MILLION)
  • 14.3 EUROPE
    • 14.3.1 EUROPE: BOT SERVICES MARKET DRIVERS
    • TABLE 124 EUROPE: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 125 EUROPE: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • TABLE 126 EUROPE: BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 127 EUROPE: BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
    • TABLE 128 EUROPE: BOT SERVICES MARKET BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 129 EUROPE: BOT SERVICES MARKET BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
    • TABLE 130 EUROPE: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 131 EUROPE: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 132 EUROPE: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 133 EUROPE: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 134 EUROPE: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 135 EUROPE: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 136 EUROPE: BOT SERVICES MARKET BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 137 EUROPE: BOT SERVICES MARKET BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 138 EUROPE: BOT SERVICES MARKET BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 139 EUROPE: BOT SERVICES MARKET BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 140 EUROPE: BOT SERVICES MARKET BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 141 EUROPE: BOT SERVICES MARKET BY COUNTRY, 2022-2027 (USD MILLION)
    • 14.3.2 UNITED KINGDOM
      • 14.3.2.1 The heavy inflow of capital from various investors to fuel the adoption of bot services in the UK
    • TABLE 142 UK: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 143 UK: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.3.3 GERMANY
      • 14.3.3.1 Rise in government support and a highly skilled labor force to drive the growth of bot services in Germany
    • TABLE 144 GERMANY: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 145 GERMANY: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.3.4 FRANCE
      • 14.3.4.1 Rise in acceptance of digital transformation across large and midsized organizations to drive the growth of the bot services market in France
    • TABLE 146 FRANCE: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 147 FRANCE: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.3.5 REST OF EUROPE
    • TABLE 148 REST OF EUROPE: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 149 REST OF EUROPE: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
  • 14.4 ASIA PACIFIC
    • 14.4.1 ASIA PACIFIC: BOT SERVICES MARKET DRIVERS
    • FIGURE 45 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 150 ASIA PACIFIC: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 151 ASIA PACIFIC: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • TABLE 152 ASIA PACIFIC: BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 153 ASIA PACIFIC: BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
    • TABLE 154 ASIA PACIFIC: BOT SERVICES MARKET BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 155 ASIA PACIFIC: BOT SERVICES MARKET BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
    • TABLE 156 ASIA PACIFIC: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 157 ASIA PACIFIC: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 158 ASIA PACIFIC: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 159 ASIA PACIFIC: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 160 ASIA PACIFIC: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 161 ASIA PACIFIC: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 162 ASIA PACIFIC: BOT SERVICES MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 163 ASIA PACIFIC: BOT SERVICES MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 164 ASIA PACIFIC: BOT SERVICES MARKET BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 165 ASIA PACIFIC: BOT SERVICES MARKET BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 166 ASIA PACIFIC: BOT SERVICES MARKET BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 167 ASIA PACIFIC: BOT SERVICES MARKET BY COUNTRY, 2022-2027 (USD MILLION)
    • 14.4.2 CHINA
      • 14.4.2.1 Increased investments in AI technologies to drive the adoption of bot services in China
    • TABLE 168 CHINA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 169 CHINA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.4.3 JAPAN
      • 14.4.3.1 Adoption of advanced technologies and the need to prevent data breaches in organizations drive the adoption of bot services in Japan
    • TABLE 170 JAPAN: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 171 JAPAN: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.4.4 INDIA
      • 14.4.4.1 Rise in investments in startups and the use of AI technologies in various verticals to trigger bot services adoption in India
    • TABLE 172 INDIA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 173 INDIA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.4.5 REST OF ASIA PACIFIC
    • TABLE 174 REST OF ASIA PACIFIC: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 175 REST OF ASIA PACIFIC: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
  • 14.5 MIDDLE EAST AND AFRICA
    • 14.5.1 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET DRIVERS
    • TABLE 176 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 177 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • TABLE 178 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 179 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
    • TABLE 180 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 181 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET, BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
    • TABLE 182 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 183 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 184 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 185 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 186 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 187 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 188 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 189 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 190 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 191 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 192 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 193 MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY COUNTRY, 2022-2027 (USD MILLION)
    • 14.5.2 KINGDOM OF SAUDI ARABIA
      • 14.5.2.1 The utilities and government sectors offer huge growth opportunities for the bot services market
    • TABLE 194 KSA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 195 KSA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.5.3 UNITED ARAB EMIRATES
      • 14.5.3.1 The need to resolve customer queries in real time and enhance productivity to drive the demand for bot services
    • TABLE 196 UAE: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 197 UAE: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.5.4 SOUTH AFRICA
      • 14.5.4.1 The rise in need to enhance customer experience to drive the demand for bot services
    • TABLE 198 SOUTH AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 199 SOUTH AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.5.5 REST OF THE MIDDLE EAST AND AFRICA
    • TABLE 200 REST OF MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 201 REST OF MIDDLE EAST AND AFRICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
  • 14.6 LATIN AMERICA
    • 14.6.1 LATIN AMERICA: BOT SERVICES MARKET DRIVERS
    • TABLE 202 LATIN AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 203 LATIN AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • TABLE 204 LATIN AMERICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2016-2021 (USD MILLION)
    • TABLE 205 LATIN AMERICA: BOT SERVICES MARKET BY INTERACTION TYPE, 2022-2027 (USD MILLION)
    • TABLE 206 LATIN AMERICA: BOT SERVICES MARKET BY MODE OF CHANNEL, 2016-2021 (USD MILLION)
    • TABLE 207 LATIN AMERICA: BOT SERVICES MARKET BY MODE OF CHANNEL, 2022-2027 (USD MILLION)
    • TABLE 208 LATIN AMERICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 209 LATIN AMERICA: BOT SERVICES MARKET BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 210 LATIN AMERICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 211 LATIN AMERICA: BOT SERVICES MARKET BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 212 LATIN AMERICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 213 LATIN AMERICA: BOT SERVICES MARKET BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 214 LATIN AMERICA: BOT SERVICES MARKET BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 215 LATIN AMERICA: BOT SERVICES MARKET BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 216 LATIN AMERICA: BOT SERVICES MARKET BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 217 LATIN AMERICA: BOT SERVICES MARKET BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 218 LATIN AMERICA: BOT SERVICES MARKET BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 219 LATIN AMERICA: BOT SERVICES MARKET BY COUNTRY, 2022-2027 (USD MILLION)
    • 14.6.2 BRAZIL
      • 14.6.2.1 Brazilian startups are investing in emerging technologies such as bot services and process automation
    • TABLE 220 BRAZIL: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 221 BRAZIL: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.6.3 MEXICO
      • 14.6.3.1 Mexico became the first Latin American country and one of the first 10 countries in the world to introduce an official AI strategy, setting an example for the rest of the countries
    • TABLE 222 MEXICO: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 223 MEXICO: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)
    • 14.6.4 REST OF LATIN AMERICA
    • TABLE 224 REST OF LATIN AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2016-2021 (USD MILLION)
    • TABLE 225 REST OF LATIN AMERICA: BOT SERVICES MARKET BY SERVICE TYPE, 2022-2027 (USD MILLION)

15 COMPETITIVE LANDSCAPE

  • 15.1 OVERVIEW
  • 15.2 KEY PLAYER STRATEGIES
    • TABLE 226 OVERVIEW OF STRATEGIES ADOPTED BY KEY BOT SERVICES VENDORS
  • 15.3 REVENUE ANALYSIS
    • 15.3.1 HISTORICAL REVENUE ANALYSIS
    • FIGURE 46 HISTORICAL REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2017-2021 (USD MILLION)
  • 15.4 MARKET SHARE ANALYSIS
    • FIGURE 47 MARKET SHARE ANALYSIS FOR KEY COMPANIES
    • TABLE 227 BOT SERVICES MARKET: DEGREE OF COMPETITION
  • 15.5 MARKET EVALUATION FRAMEWORK
    • FIGURE 48 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS IN THE BOT SERVICES MARKET BETWEEN 2019-2022
  • 15.6 COMPANY EVALUATION QUADRANT
    • 15.6.1 STAR
    • 15.6.2 EMERGING LEADER
    • 15.6.3 PERVASIVE
    • 15.6.4 PARTICIPANT
    • FIGURE 49 BOT SERVICES MARKET: COMPANY EVALUATION QUADRANT, 2022
  • 15.7 COMPETITIVE BENCHMARKING
    • 15.7.1 COMPANY PRODUCT FOOTPRINT
    • FIGURE 50 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS IN THE BOT SERVICES MARKET
    • FIGURE 51 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS IN THE BOT SERVICES MARKET
    • TABLE 228 COMPANY OFFERING FOOTPRINT
    • TABLE 229 COMPANY REGION FOOTPRINT
    • TABLE 230 BOT SERVICES: COMPETITIVE BENCHMARKING OF KEY PLAYERS
  • 15.8 STARTUP/SME EVALUATION QUADRANT
    • 15.8.1 PROGRESSIVE COMPANIES
    • 15.8.2 RESPONSIVE COMPANIES
    • 15.8.3 DYNAMIC COMPANIES
    • 15.8.4 STARTING BLOCKS
    • FIGURE 52 BOT SERVICES MARKET, STARTUPS/SMES EVALUATION QUADRANT
  • 15.9 STARTUPS/SMES COMPETITIVE BENCHMARKING
    • 15.9.1 COMPANY PRODUCT FOOTPRINT
    • FIGURE 53 PRODUCT PORTFOLIO ANALYSIS OF STARTUPS/SMES IN THE BOT SERVICES MARKET
    • FIGURE 54 BUSINESS STRATEGY EXCELLENCE OF STARTUPS/SMES IN THE BOT SERVICES MARKET
    • TABLE 231 STARTUPS/SMES COMPANY OFFERING FOOTPRINT
    • TABLE 232 STARTUPS/SMES COMPANY REGION FOOTPRINT
    • TABLE 233 BOT SERVICES MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 234 BOT SERVICES MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • 15.10 COMPETITIVE SCENARIO AND TRENDS
    • 15.10.1 NEW PRODUCT LAUNCHES
    • TABLE 235 NEW SERVICE/PRODUCT LAUNCHES, 2017-2021
    • 15.10.2 DEALS
    • TABLE 236 DEALS, 2019-2022

16 COMPANY PROFILES

  • 16.1 INTRODUCTION
  • 16.2 KEY PLAYERS
  • (Business overview, Solutions offered, Recent Developments, MNM view)**
    • 16.2.1 MICROSOFT
    • TABLE 237 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 55 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 238 MICROSOFT: SOLUTIONS OFFERED
    • TABLE 239 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 240 MICROSOFT: DEALS
    • 16.2.2 IBM
    • TABLE 241 IBM: BUSINESS OVERVIEW
    • FIGURE 56 IBM: COMPANY SNAPSHOT
    • TABLE 242 IBM: SOLUTIONS OFFERED
    • TABLE 243 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 244 IBM: DEALS
    • 16.2.3 GOOGLE
    • TABLE 245 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 57 GOOGLE: COMPANY SNAPSHOT
    • TABLE 246 GOOGLE: SOLUTIONS OFFERED
    • TABLE 247 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 248 GOOGLE: DEALS
    • 16.2.4 ORACLE
    • TABLE 249 ORACLE: BUSINESS OVERVIEW
    • FIGURE 58 ORACLE: COMPANY SNAPSHOT
    • TABLE 250 ORACLE: SOLUTIONS OFFERED
    • TABLE 251 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 252 ORACLE: DEALS
    • 16.2.5 AWS
    • TABLE 253 AWS: BUSINESS OVERVIEW
    • FIGURE 59 AWS: COMPANY SNAPSHOT
    • TABLE 254 AWS: SOLUTIONS OFFERED
    • TABLE 255 AWS: PRODUCT LAUNCHES
    • TABLE 256 AWS: DEALS
    • 16.2.6 META
    • TABLE 257 META: BUSINESS OVERVIEW
    • FIGURE 60 META: COMPANY SNAPSHOT
    • TABLE 258 META: SOLUTIONS OFFERED
    • TABLE 259 META: PRODUCT LAUNCHES
    • TABLE 260 META: DEALS
    • 16.2.7 ARTIFICIAL SOLUTIONS
    • TABLE 261 ARTIFICIAL SOLUTIONS: BUSINESS OVERVIEW
    • FIGURE 61 ARTIFICIAL SOLUTIONS: COMPANY SNAPSHOT
    • TABLE 262 ARTIFICIAL SOLUTIONS: SOLUTIONS OFFERED
    • TABLE 263 ARTIFICIAL SOLUTIONS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 264 ARTIFICIAL SOLUTIONS: DEALS
    • 16.2.8 EGAIN
    • TABLE 265 EGAIN: BUSINESS OVERVIEW
    • FIGURE 62 EGAIN: COMPANY SNAPSHOT
    • TABLE 266 EGAIN: SOLUTIONS OFFERED
    • TABLE 267 EGAIN: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 268 EGAIN: DEALS
    • 16.2.9 BAIDU
    • TABLE 269 BAIDU: BUSINESS OVERVIEW
    • FIGURE 63 BAIDU: COMPANY SNAPSHOT
    • TABLE 270 BAIDU: SOLUTIONS OFFERED
    • TABLE 271 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 272 BAIDU: DEALS
    • 16.2.10 INBENTA
    • TABLE 273 INBENTA: BUSINESS OVERVIEW
    • TABLE 274 INBENTA: SOLUTIONS OFFERED
    • TABLE 275 INBENTA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 276 INBENTA: DEALS
    • 16.2.11 ALVARIA
    • TABLE 277 ALVARIA: BUSINESS OVERVIEW
    • TABLE 278 ALVARIA: SOLUTIONS OFFERED
    • TABLE 279 ALVARIA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • 16.2.12 SAP
    • 16.2.13 CM.COM
    • 16.2.14 CREATIVE VIRTUAL
    • 16.2.15 KORE.AI
    • 16.2.16 [24]7.AI
    • 16.2.17 GUPSHUP
    • 16.2.18 PANDORABOTS
    • 16.2.19 BOTEGO
    • 16.2.20 HAPTIK
  • 16.3 STARTUP OR SMES
    • 16.3.1 RASA
    • 16.3.2 CHATFUEL
    • 16.3.3 PYPESTREAM
    • 16.3.4 AVAAMO
    • 16.3.5 WEBIO
    • 16.3.6 SERVISBOT
    • 16.3.7 MORPH.AI
    • 16.3.8 COGNIGY
    • 16.3.9 ENTERPRISE BOT
    • 16.3.10 ENGATI
  • *Details on Business overview, Solutions offered, Recent Developments, MNM view might not be captured in case of unlisted companies.

17 ADJACENT AND RELATED MARKETS

  • 17.1 INTRODUCTION
  • 17.2 CHATBOT MARKET-GLOBAL FORECAST TO 2026
    • 17.2.1 MARKET DEFINITION
    • 17.2.2 MARKET OVERVIEW
    • 17.2.3 CHATBOT MARKET, BY COMPONENT
    • TABLE 280 CHATBOT MARKET SIZE BY COMPONENT, 2015-2019 (USD MILLION)
    • TABLE 281 CHATBOT MARKET SIZE, BY COMPONENT, 2020-2026 (USD MILLION)
    • 17.2.4 CHATBOT MARKET, BY TYPE
    • TABLE 282 CHATBOT MARKET SIZE, BY TYPE, 2015-2019 (USD MILLION)
    • TABLE 283 CHATBOT MARKET SIZE, BY TYPE, 2020-2026 (USD MILLION)
    • 17.2.5 CHATBOT MARKET, BY DEPLOYMENT MODE
    • TABLE 284 CHATBOT MARKET SIZE, BY DEPLOYMENT MODE, 2015-2019 (USD MILLION)
    • TABLE 285 CHATBOT MARKET SIZE, BY DEPLOYMENT MODE, 2020-2026 (USD MILLION)
    • 17.2.6 CHATBOT MARKET, BY CHANNEL INTEGRATION
    • TABLE 286 CHATBOT MARKET SIZE, BY CHANNEL INTEGRATION, 2015-2019 (USD MILLION)
    • TABLE 287 CHATBOT MARKET SIZE, BY CHANNEL INTEGRATION, 2020-2026 (USD MILLION)
    • 17.2.7 CHATBOT MARKET, BY ORGANIZATION SIZE
    • TABLE 288 CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2015-2019 (USD MILLION)
    • TABLE 289 CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2020-2026 (USD MILLION)
    • 17.2.8 CHATBOT MARKET, BY BUSINESS FUNCTION
    • TABLE 290 CHATBOT MARKET SIZE, BY BUSINESS FUNCTION, 2015-2019 (USD MILLION)
    • TABLE 291 CHATBOT MARKET SIZE, BY BUSINESS FUNCTION, 2020-2026 (USD MILLION)
    • 17.2.9 CHATBOT MARKET, BY APPLICATION
    • TABLE 292 CHATBOT MARKET SIZE, BY APPLICATION, 2015-2019 (USD MILLION)
    • TABLE 293 CHATBOT MARKET SIZE, BY APPLICATION, 2020-2026 (USD MILLION)
    • 17.2.10 CHATBOT MARKET, BY VERTICAL
    • TABLE 294 CHATBOT MARKET SIZE, BY VERTICAL, 2015-2019 (USD MILLION)
    • TABLE 295 CHATBOT MARKET SIZE, BY VERTICAL, 2020-2026 (USD MILLION)
    • 17.2.11 CHATBOT MARKET, BY REGION
    • TABLE 296 CHATBOT MARKET SIZE, BY REGION, 2015-2019 (USD MILLION)
    • TABLE 297 CHATBOT MARKET SIZE, BY REGION, 2020-2026 (USD MILLION)
  • 17.3 NATURAL LANGUAGE PROCESSING MARKET
    • 17.3.1 MARKET DEFINITION
    • 17.3.2 MARKET OVERVIEW
    • 17.3.3 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT
    • TABLE 298 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2015-2019 (USD MILLION)
    • TABLE 299 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2019-2026 (USD MILLION)
    • 17.3.4 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE
    • TABLE 300 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2015-2019 (USD MILLION)
    • TABLE 301 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2019-2026 (USD MILLION)
    • 17.3.5 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE
    • TABLE 302 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE, 2015-2019 (USD MILLION)
    • TABLE 303 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE, 2019-2026 (USD MILLION)
    • 17.3.6 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE
    • TABLE 304 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2015-2019 (USD MILLION)
    • TABLE 305 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2019-2026 (USD MILLION)
    • 17.3.7 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION
    • TABLE 306 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2015-2019 (USD MILLION)
    • TABLE 307 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2019-2026 (USD MILLION)
    • 17.3.8 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL
    • TABLE 308 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2015-2019 (USD MILLION)
    • TABLE 309 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2019-2026 (USD MILLION)
    • 17.3.9 NATURAL LANGUAGE PROCESSING MARKET, BY REGION
    • TABLE 310 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2015-2019 (USD MILLION)
    • TABLE 311 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019-2026 (USD MILLION)

18 APPENDIX

  • 18.1 INDUSTRY EXPERTS
  • 18.2 DISCUSSION GUIDE
  • 18.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 18.4 AVAILABLE CUSTOMIZATIONS
  • 18.5 RELATED REPORTS
  • 18.6 AUTHOR DETAILS