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市場調查報告書
商品編碼
1630239

認知服務：市場佔有率分析、產業趨勢/統計、成長預測（2025-2030）

Cognitive Services - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 115 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計認知服務市場在預測期內的複合年成長率為 36.45%。

認知服務-市場-IMG1

主要亮點

  • 對聊天機器人和虛擬助理等對話式人工智慧解決方案不斷成長的需求將有助於企業提高客戶參與和支援。這些解決方案使用 NLP 和機器學習演算法來理解客戶的詢問並提供適當的回應。
  • 認知服務市場是由對自然語言處理、電腦視覺、語音辨識和機器學習演算法不斷成長的需求推動的，這些演算法使組織能夠提高決策準確性並自動執行複雜的任務。
  • 此外，各行業對自動化的需求不斷成長，並且有更多資料可用於訓練機器學習演算法。隨著組織尋求簡化流程、降低成本和提高效率的方法，自動化變得越來越重要。對採用自動化的公司的期望已經轉向更快的價值速度。因此，隨著各行業自動化程度的提高，認知服務提供者正在開發更多 API 來建立更智慧的應用程式。
  • 然而，對資料隱私和安全的持續擔憂正在挑戰市場成長。隨著組織越來越依賴人工智慧和機器學習演算法來做出決策，越來越需要確保這些演算法的安全性以及它們使用的資料受到保護。這對於經常處理敏感資訊的醫療保健和金融等行業尤其重要。
  • COVID-19大流行的影響是巨大的，許多組織正在加快數位轉型努力，以應對大流行帶來的變化。這增加了對認知服務解決方案的需求，這些解決方案可以幫助組織自動化任務、提高客戶參與和增強決策能力。

認知服務市場趨勢

IT/通訊領域顯著成長

  • 資訊科技 (IT) 和通訊業是全球認知服務成長的主要貢獻者。這些產業提供開發、部署和傳播認知服務所需的基礎設施和平台。
  • IT 公司參與部署各種軟體和硬體解決方案來支援認知服務。這些公司開發先進的人工智慧和機器學習演算法，可以分析大量資料並提供有意義的見解。例如，IBM、微軟、谷歌和亞馬遜等 IT 公司正在大力投資認知服務，為自然語言處理、圖像和語音辨識以及決策演算法提供雲端基礎的平台。
  • 此外，資料儲存中心的大資料量和複雜性都在迅速增加，這有助於最佳化資料儲存、增強安全性並加快業務決策速度，這導致了認知服務的引入。據Cisco稱，這一數字在 2018 年達到 124Exabyte，預計 2021 年將達到 403Exabyte。
  • 許多 IT 和通訊公司正在採用認知服務來提高客戶參與、最佳化營運、開發網路基礎設施並獲得相對於其他公司的競爭優勢。例如，2022年10月，愛立信與阿曼沃達豐合作，加強電信業者跨多個領域的網路基礎設施開發。透過此次合作，愛立信將提供基於人工智慧的認知軟體解決方案，用於網路最佳化、簡化資料主導的決策並支援沃達豐的零接觸操作（ZTO）實施。

歐洲預計將出現顯著成長

  • 認知服務的採用和使用正在整個全部區域迅速擴大。目前，北美佔據認知服務的主要市場佔有率。該地區的成長得益於研發投資的增加、雲端基礎的服務的採用以及智慧設備和物聯網技術的普及。
  • 北美在認知服務方面的優勢主要歸因於其對人工智慧、機器學習和自然語言處理等新興技術的高度採用。該地區也是多家領先科技公司的所在地，這些公司正在大力投資認知服務，推動市場創新和成長。
  • 例如，2022 年 5 月，微軟擴大了與人工智慧 (AI) 研究公司 OpenAI Inc. 的長期合作關係，推出了 Azure 認知服務。該服務使開發人員能夠獨家存取 OpenAI 的各種 AI 模型，包括 GPT-3 基礎系列、Codex 系列和嵌入模型。
  • 此外，該地區大量的中小企業、新興企業和研究機構為認知服務的創新和實驗創造了肥沃的土壤。

認知服務產業概述

認知服務市場趨於集中，因為市場上有微軟、谷歌和 AWS 等幾家主要企業。這些公司在研發方面投入巨資，以改善各行業的認知服務並維持市場主導地位。

2023年1月，Vingroup支援的人工智慧醫療軟體公司VinBrain與微軟公司合作。據新聞稿稱，此次合作將涉及人工智慧醫療保健的三個領域：資料共用、跨產品檢驗以及研發。作為合作的一部分，VinBrain 將利用 Azure 電腦視覺認知服務來檢驗新的深度學習模型，包括微軟最新的電腦視覺模型 Florence。

2022 年 11 月，微軟公司為開發人員推出了名為 Vision Studio 的新使用者介面 (UI)，以試驗電腦視覺 API。這是 Microsoft 在 Azure 上提供的認知服務的一部分。此 API 提供對用於處理媒體和傳回資訊的高級演算法的存取。 Azure 的電腦視覺演算法可以透過上傳​​媒體資產或指定媒體資產的 URL，根據輸入或使用者選擇以不同的方式分析視覺內容。

其他好處：

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 新進入者的威脅
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度

第5章市場洞察

  • 市場促進因素
    • 更多地採用智慧 API 來建立更聰明的應用程式
    • 資料量和複雜度不斷增加
  • 市場限制因素
    • 實施高成本

第6章 市場細分

  • 按發展
    • 雲
    • 本地
  • 按公司規模
    • 小型企業
    • 主要企業
  • 按最終用戶產業
    • BFSI
    • 資訊科技/通訊
    • 零售
    • 衛生保健
    • 其他最終用戶產業
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 其他亞太地區
    • 拉丁美洲
      • 巴西
      • 墨西哥
      • 其他拉丁美洲
    • 中東/非洲

第7章 競爭格局

  • 公司簡介
    • Amazon Web Services, Inc.
    • Attivio, Inc.
    • Enterra Solutions LLC
    • Google LLC
    • IBM Corporation
    • Infosys Limited
    • Microsoft Corporation
    • Nokia Corporation
    • SAS Institute Inc.
    • Tata Consultancy Services Limited
    • Wipro Limited

第8章投資分析

第9章 市場的未來

簡介目錄
Product Code: 65327

The Cognitive Services Market is expected to register a CAGR of 36.45% during the forecast period.

Cognitive Services - Market - IMG1

Key Highlights

  • Growth in the demand for conversational AI solutions, such as chatbots and virtual assistants, can help organizations improve customer engagement and support. These solutions use NLP and machine learning algorithms to understand customer inquiries and provide relevant responses.
  • The cognitive services market is driven by the increasing demand for natural language processing, computer vision, speech recognition, and machine learning algorithms that allow organizations to improve the accuracy of decision-making and automate complex tasks.
  • Furthermore, the growing need for automation in various industries and the increasing data availability for training machine learning algorithms. Automation is becoming increasingly important as organizations look for ways to streamline processes, reduce costs, and improve efficiency. The expectations of the companies from adopting automation are shifting towards getting value at a higher speed. Hence, with the increasing automation across industries, cognitive service providers are gaining traction for developing more APIs to build smarter applications.
  • However, the ongoing concern over data privacy and security is challenging market growth. As organizations increasingly rely on AI and machine learning algorithms to make decisions, there is a growing need to ensure that these algorithms are secure and that the data they use is protected. This is particularly important in industries such as healthcare and finance, where sensitive information is frequently processed.
  • The impact of the COVID-19 pandemic was significant, with many organizations looking to accelerate their digital transformation efforts in response to the changes brought on by the pandemic. This led to an increase in demand for cognitive services solutions that helped organizations automate tasks, improve customer engagement, and enhance decision-making.

Cognitive Services Market Trends

IT and Telecommunication Segment to Grow Significantly

  • The information technology (IT) and telecommunications industries significantly contribute to the growth of cognitive services globally. These industries provide the necessary infrastructure and platforms for developing, deploying, and disseminating cognitive services.
  • IT companies are involved in the deployment of various software and hardware solutions that support cognitive services. They are developing advanced artificial intelligence and machine learning algorithms that can analyze vast amounts of data and provide meaningful insights. For example, IT companies like IBM, Microsoft, Google, and Amazon are investing heavily in cognitive services, offering cloud-based platforms for natural language processing, image and speech recognition, and decision-making algorithms.
  • Moreover, the volume of big data in data storage centers is rapidly increasing in addition to its complexity leading to the adoption of cognitive services, as it helps optimize data storage, enhanced security, and accelerate business decision-making. According to Cisco Systems, this volume reached 124 Exabytes in 2018 and is estimated to reach 403 Exabytes by 2021.
  • Many IT and telecommunication companies are adopting cognitive services to improve customer engagement, optimize operations, develop network infrastructure, and gain a competitive edge over others. For instance, in October 2022, Ericsson and Vodafone in Oman partnered to empower the telecom company's network infrastructure development across multiple domains. With this partnership, Ericsson would provide AI-based Cognitive Software solutions for network optimization to simplify data-driven decisions and support Vodafone in implementing zero-touch operations (ZTO).

Europe is Expected to Grow Significantly

  • The adoption and usage of cognitive services are growing rapidly across the region. Currently, North America holds the major market share in cognitive services. The region's growth is attributed to increased investment in research and development, the adoption of cloud-based services, and the growing popularity of smart devices and IoT-enabled technologies.
  • The dominance of North America in cognitive services is primarily due to the high adoption of new and emerging technologies such as artificial intelligence, machine learning, and natural language processing. The region is also home to several major technology companies that are heavily investing in cognitive services, driving innovation and growth in the market.
  • For instance, in May 2022, Microsoft Corporation launched a service for Azure Cognitive Services, expanding its long-running relationship with the artificial intelligence (AI) research outfit OpenAI Inc. The service will enable developers to gain limited access to a range of OpenAI's AI models, including the GPT-3 base series, Codex series, and embedding models.
  • Furthermore, the presence of a large number of small and medium-sized enterprises, startups, and research organizations in the region has created a fertile ground for innovation and experimentation with cognitive services.

Cognitive Services Industry Overview

The cognitive service market is inclined towards concentration with the presence of a few key players in the market, including Microsoft, Google, and AWS. These companies are highly investing in research and developments towards improving cognitive services for varied industries and continuing their market dominance.

In January 2023, AI healthcare software company VinBrain, a company backed by Vingroup, collaborated with Microsoft Corporation. As per the press release, the collaboration would work on three areas of AI healthcare: data sharing, cross-product validation, and R&D. As part of the collaboration, VinBrain would use Azure Cognitive Services for Computer Vision to validate new deep-learning models, including Microsoft's latest computer vision model called Florence.

In November 2022, Microsoft Corporation introduced a new User Interface (UI) for developers called Vision Studio to try its Computer Vision API. It is a part of Microsoft's Cognitive Services offering in Azure. The API provides access to advanced algorithms for processing media and returning information. Azure's Computer Vision algorithms can analyze visual content differently based on inputs and user choices by uploading a media asset or specifying a media asset's URL.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers/Consumers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry

5 MARKET INSIGHTS

  • 5.1 Market Drivers
    • 5.1.1 Growing Adoption of Intelligent APIs to Build Smarter Applications
    • 5.1.2 Increase in Data Volume and Complexity
  • 5.2 Market Restraints
    • 5.2.1 High Cost Incorporated with the Implementation

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 Cloud
    • 6.1.2 On-Premise
  • 6.2 By Enterprise Size
    • 6.2.1 Small and Medium Emterprises
    • 6.2.2 Large Enterprises
  • 6.3 By End-user Industry
    • 6.3.1 BFSI
    • 6.3.2 IT and Telecommunication
    • 6.3.3 Retail
    • 6.3.4 Healthcare
    • 6.3.5 Other End-user Industries
  • 6.4 By Geography
    • 6.4.1 North America
      • 6.4.1.1 United States
      • 6.4.1.2 Canada
    • 6.4.2 Europe
      • 6.4.2.1 United Kingdom
      • 6.4.2.2 Germany
      • 6.4.2.3 France
      • 6.4.2.4 Rest of Europe
    • 6.4.3 Asia-Pacific
      • 6.4.3.1 China
      • 6.4.3.2 Japan
      • 6.4.3.3 India
      • 6.4.3.4 Rest of Asia-Pacific
    • 6.4.4 Latin America
      • 6.4.4.1 Brazil
      • 6.4.4.2 Mexico
      • 6.4.4.3 Rest of Latin America
    • 6.4.5 Middle-East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Amazon Web Services, Inc.
    • 7.1.2 Attivio, Inc.
    • 7.1.3 Enterra Solutions LLC
    • 7.1.4 Google LLC
    • 7.1.5 IBM Corporation
    • 7.1.6 Infosys Limited
    • 7.1.7 Microsoft Corporation
    • 7.1.8 Nokia Corporation
    • 7.1.9 SAS Institute Inc.
    • 7.1.10 Tata Consultancy Services Limited
    • 7.1.11 Wipro Limited

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET