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市場調査レポート
商品コード
1373704
コグニティブコンピューティングの世界市場規模、シェア、産業動向分析レポート:展開タイプ別、技術別、企業規模別、業界別、地域別展望および予測、2023年~2030年Global Cognitive Computing Market Size, Share & Industry Trends Analysis Report By Deployment Type (On-premise and Cloud), By Technology, By Enterprise Size, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
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コグニティブコンピューティングの世界市場規模、シェア、産業動向分析レポート:展開タイプ別、技術別、企業規模別、業界別、地域別展望および予測、2023年~2030年 |
出版日: 2023年09月30日
発行: KBV Research
ページ情報: 英文 333 Pages
納期: 即納可能
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コグニティブコンピューティング市場規模は、予測期間中にCAGR 32.3%で成長し、2030年までに2,788億米ドルに達すると予測されます。
KBV Cardinalのマトリックスに示された分析によると、Google LLCとMicrosoft Corporationがコグニティブコンピューティング市場の先駆者です。2023年5月、Google CloudはSAPとの提携を拡大し、オープンデータとAIの未来を共同で構築し、データランドスケープを容易にするために開発された本格的なオープンデータを提供します。オラクル・コーポレーション、IBMコーポレーション、ヒューレット・パッカード・エンタープライズ開発LPなどの企業は、この市場における主要なイノベーターです。
市場成長要因
さまざまな業界における自動化導入の増加
企業は、反復作業やルールベースの作業を自動化して効率を改善し、運用コストを削減したいと考えています。コグニティブ・コンピューティング・システムは、データ入力、カスタマーサポート、文書処理タスクを自動化できます。自動化とコグニティブ・コンピューティングは密接に関連しているが、異なる技術であり、これらを組み合わせることで、さまざまなビジネス課題に対する強力なソリューションを提供することができます。要約すると、自動化とコグニティブ・コンピューティングは、効果的に統合することで、効率性の向上、意思決定の改善、顧客体験の向上につながる補完的な技術です。企業はこの組み合わせを活用して競合優位性を獲得し、現代のデジタル情勢の複雑さを乗り切ることができます。これらすべての要素が、今後数年間の市場拡大を後押しすると思われます。
予測分析のためのコグニティブ・コンピューティング要件の増加
コンピュータサイエンスとAIの発展の結果、コグニティブコンピューティングは急速に成長し、今後数年で拡大すると予想されます。予測分析のような機械学習(ML)技術を、企業の意思決定を支援することを主な目的とするコグニティブ・コンピューティングに組み込むことは、効率的な企業運営を行うための理想的な方法です。ダイナミックプライシングモデルを持つ企業にとって、予測分析は需要、競合、顧客行動など様々な要因に基づく価格戦略の最適化に役立ちます。これにより、競争力を維持しながら収益と利益率を高めることができます。これらの要因によって、コグニティブ・コンピューティング市場の需要が促進されると予想されます。
市場抑制要因
データの完全性に対するリスクと熟練した専門家の不足
データ・セキュリティの問題は、コグニティブ・コンピューティング市場にとって依然として大きな障壁となっています。データベースの管理と監視に関する制御の大部分は、コグニティブ・コンピューティング・システムのプロバイダーに委ねられています。データベースには、住所、写真付き身分証明書、クレジットカードやデビットカード情報などの金融データとともに、さまざまなプライベート・ユーザー・データが保存されています。マルウェア、分散型サービス拒否(DDoS)、SQLインジェクション、フィッシングの試みは、一部のハッカーがネットワークに侵入し、ユーザーのパスワードを盗むために使用するサイバー攻撃の一例です。その結果、コグニティブ・コンピューティング市場は、熟練労働者の不足とデータ・セキュリティの脅威により、予測期間を通じて成長制約に見舞われると予測されます。
展開タイプの展望
展開タイプに基づき、市場はオンプレミスとクラウドに特徴付けられます。クラウドセグメントは、2022年の市場でかなりの成長率を確保しました。クラウドベースのコグニティブ・コンピューティング・システムは、場所やデバイスを問わずにインターネット接続を通じてアクセスできるため、異なる場所で働くチームがリモートで作業したりコラボレーションしたりすることが可能になります。このアクセシビリティは、分散チームや24時間365日の運用が必要な組織にとって特に価値があります。主要なクラウド・プロバイダーは、冗長性とフェイルオーバー機能を備えた堅牢なインフラを提供しています。その結果、高可用性が実現し、ダウンタイムが最小限に抑えられるため、コグニティブ・コンピューティング・アプリケーションにユーザーが常にアクセスできるようになります。
技術の展望
技術別に見ると、市場は自然言語処理(NLP)、機械学習、自動推論、その他に分類されます。自然言語処理(NLP)セグメントは、2022年の市場で最大の収益シェアを獲得しました。コグニティブNLPは、チャットボットやバーチャルアシスタントがユーザーのクエリをより自然かつインテリジェントに理解し応答することを可能にし、ユーザーエクスペリエンスを向上させる。これはまた、検索エンジンがユーザーのクエリをよりよく理解し、より正確で文脈を考慮した検索結果を提供するのにも役立ちます。コグニティブNLPモデルは多言語を扱うことができるため、言語の壁を打ち破り、世界なコミュニケーションとコンテンツ処理を可能にします。
企業規模の展望
企業規模によって、市場は大企業と中小企業に分けられます。中小企業セグメントは、2022年の市場で顕著な成長率を獲得しました。コグニティブ・コンピューティングは、効率、意思決定、顧客体験を強化する高度なAI主導型機能を提供することで、中小企業に利益をもたらすことができます。中小企業は、コグニティブ・オートメーション技術を利用することで、財務、人事、サプライチェーン管理など、さまざまな部門にわたるルーチン・タスクやマニュアル・タスクを自動化できます。これにより、業務効率が向上し、ミスが減少します。
業界別の展望
市場は業種別に、ヘルスケア、BFSI、小売・eコマース、政府・防衛、IT・通信、エネルギー・電力、その他に区分されます。2022年の市場では、ヘルスケア分野が最も高い収益シェアを獲得しました。コグニティブ・コンピューティング技術は、ヘルスケアに数多くの用途を見出し、患者ケアの改善、業務の合理化、医療研究の進展のための革新的なソリューションを提供しています。異常、腫瘍、骨折、その他の状態を検出することで放射線科医を支援し、誤診率を低下させる可能性があります。コグニティブ・コンピューティングは、構造化されていないテキストメモから情報を抽出して構造化することで、EHRシステムを改善し、医療従事者が患者記録をより利用しやすく、有用なものにすることができます。
地域別展望
地域別に見ると、市場は北米、欧州、アジア太平洋、LAMEAで分析されます。北米セグメントは2022年の市場で最大の収益シェアを獲得しました。北米におけるコグニティブ・コンピューティングの展開は、様々な産業やセクターで大きな成長と採用が見られます。北米、特に米国とカナダは、技術革新とコグニティブ・コンピューティング・ソリューション開発の先進国です。北米の製造企業は、コグニティブ技術でインダストリー4.0のコンセプトを取り入れています。
The Global Cognitive Computing Market size is expected to reach $278.8 billion by 2030, rising at a market growth of 32.3% CAGR during the forecast period.
Cognitive computing helps retailers optimize inventory levels by analyzing historical sales data, current market trends, and external factors like weather or holidays. Therefore, the Retail & E-commerce segment acquired $3,282.1 million revenue in the market in 2022. This reduces the hazard of understocking or overstocking products. Cognitive computing can analyze social media, reviews, and customer feedback to gauge sentiment and gather insights. Retailers can use this information to make improvements and address customer concerns proactively. Cognitive computing models can identify upselling and cross-selling opportunities based on customer preferences and purchase history, increasing the average order value.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. In October, 2022, Oracle Corporation came into partnership with NVIDIA to integrate Oracle Cloud Infrastructure with NVIDIA's accelerated computing stack with an aim to provide the customers of the two companies with solutions AI-powered solutions for overcoming business challenges. In January, 2021, IBM Corporation signed a partnership with Atos to provide solutions for the digitalization of businesses and enable the customers to modernize their businesses.
Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Cognitive Computing Market. In May, 2023, Google Cloud extended its partnership with SAP to jointly build the future of open data and AI and bringing in a full-fledged open data offering developed to make data landscapes easier. Companies such as Oracle Corporation, IBM Corporation and Hewlett Packard Enterprise Development LP are some of the key innovators in the Market.
Market Growth Factors
Rising adoption of automation in various industries
Businesses want to automate repetitive and rule-based tasks to improve efficiency and reduce operational costs. Cognitive computing systems can automate data entry, customer support, and document processing tasks. Automation and cognitive computing are closely related but distinct technologies that, when combined, can offer powerful solutions to various business challenges. In summary, automation and cognitive computing are complementary technologies that, when integrated effectively, can lead to increased efficiency, improved decision-making, and enhanced customer experiences. Businesses can leverage this combination to gain a competitive advantage and navigate the complexities of the modern digital landscape. All these elements will aid in the expansion of the market in the coming years.
Increasing requirement of cognitive computing for predictive analytics
As a result of developments in computer science and AI, cognitive computing has grown swiftly, and it is expected that this will expand in the coming years. Incorporating machine learning (ML) technologies like predictive analytics with cognitive computing, whose major goal is to assist businesses in decision-making, is the ideal way to carry out efficient company operations. For businesses with dynamic pricing models, predictive analytics can help optimize pricing strategies based on various factors, such as demand, competition, and customer behavior. This can lead to higher revenue and profit margins while remaining competitive. These factors are expected to drive demand in the market for cognitive computing.
Market Restraining Factors
Risks to data integrity and lack of skilled professionals
Data security issues are still a major barrier to the market for cognitive computing. Most control over database management and oversight rests with the providers of cognitive computing systems. A wide range of private user data is stored in databases, along with financial data, including address, photo identification, and credit or debit card information. Malware, distributed denial-of-service (DDoS), SQL injection, and phishing attempts are some examples of cyberattacks that some hackers use to breach networks and steal users' passwords. As a result, the market for cognitive computing is projected to experience growth constraints throughout the forecast period due to a shortage of skilled workers and data security threats.
Deployment Type Outlook
Based on deployment type, the market is characterized into on-premise and cloud. The cloud segment procured a considerable growth rate in the market in 2022. Cloud-based cognitive computing systems may be accessed through an internet connection from any location or device, making it possible for teams working in different locations to work remotely and collaborate. This accessibility is especially valuable for organizations with distribution teams or the need for 24/7 operations. Leading cloud providers offer robust infrastructure with redundancy and failover capabilities. This results in high availability and minimizes downtime, ensuring that cognitive computing applications are consistently accessible to users.
Technology Outlook
On the basis of technology, the market is classified into natural language processing (NLP), machine learning, automated reasoning, and others. The natural language processing (NLP)segment acquired the largest revenue share in the market in 2022. Cognitive NLP allows chatbots and virtual assistants to understand and respond to user queries more naturally and intelligently, enhancing the user experience. This also helps search engines to better understand user queries, providing more accurate and context-aware search results. Cognitive NLP models can handle multiple languages, breaking language barriers and enabling global communication and content processing.
Enterprise Size Outlook
By enterprise size, the market is divided into large enterprises and small & medium-sized enterprises. The small and medium-sized enterprises segment garnered a remarkable growth rate in the market in 2022. Cognitive computing can benefit small and medium enterprises (SMEs) by providing advanced AI-driven capabilities to enhance efficiency, decision-making, and customer experiences. SMEs can automate routine and manual tasks across various departments, including finance, HR, and supply chain management, using cognitive automation technologies. This increases operational efficiency and reduces errors.
Vertical Outlook
Based on vertical, the market is segmented into healthcare, BFSI, retail & e-commerce, government & defense, IT & telecom, energy & power, and others. The healthcare segment procured the highest revenue share in the market in 2022. Cognitive computing technology has found numerous applications in healthcare, offering innovative solutions to improve patient care, streamline operations, and advance medical research. It can assist radiologists by detecting anomalies, tumors, fractures, or other conditions, potentially reducing misdiagnosis rates. Cognitive computing can improve EHR systems by extracting and structuring information from unstructured text notes, making patient records more accessible and useful to healthcare providers.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment garnered the largest revenue share in the market in 2022. Cognitive computing deployment in North America has seen significant growth and adoption across various industries and sectors. North America, particularly the United States and Canada, is a leading nation for technological innovation and the development of cognitive computing solutions. North American manufacturing companies have embraced Industry 4.0 concepts with cognitive technology.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, Google LLC, Tibco Software Inc., 3M Company, Microsoft Corporation, SAS Institute Inc., TATA Consultancy Services Limited, IBM Corporation, Hewlett Packard Enterprise Development LP, and Oracle Corporation
Recent Strategies Deployed in Cognitive Computing Market
Partnerships, Collaborations and Agreements:
May-2023: SAP SE came into collaboration with IBM, a global hybrid cloud and AI, and consulting expertise provider. With the help of this partnership, the company would embed IBM Watson technology with its solutions to offer new AI-driven insights and automation which would create more efficient and effective user experiences.
May-2023: SAP came into an expanded partnership with Google, an American multinational technology company. Through this partnership, companies would aim to organize data landscapes and unlock the value of business data. Additionally, through the help of the SAP Datasphere solution and Google's data cloud, customers would build an end-to-end data cloud that combines data from across the business landscape, enabling enterprises to view their complete land in real time.
May-2023: Google Cloud extended its partnership with SAP, a Germany-based software company. The partnership focuses on jointly building the future of open data and AI and bringing in a full-fledged open data offering developed to make data landscapes easier. This offering allows users to build data could.
Apr-2023: Microsoft Corp. expanded the collaboration with Epic Systems Corporation, an American healthcare software company. The collaboration is aimed to integrate generative AI-powered solutions with Epic's EHR to enhance patient care, and productivity and improve the financial integrity of health systems globally.
Apr-2023: Microsoft expanded its partnership with OpenAI, an artificial intelligence company, to make the advancement in AI. With this expansion, Microsoft's expertise in providing AI-driven solutions and OpenAI's research on AI Alignment would be combined to build an advanced framework for the secure deployment of Microsoft's AI technologies.
Feb-2023: Google entered into a partnership with Anthropic, an AI-based startup to develop reliable and Credible AI systems. This partnership would enable Google to utilize Anthropic capabilities in providing cloud-driven solutions and integrate with Google's expertise in the training and deployment of AI systems, to build AI-enabled systems.
Oct-2022: Oracle Corporation came into partnership with NVIDIA, an American technology company, to integrate Oracle Cloud Infrastructure with NVIDIA's accelerated computing stack. The partnership would provide the customers of the two companies with solutions AI-powered solutions for overcoming business challenges.
Jul-2022: SAS formed a partnership with Moro Hub, a subsidiary of Digital DEWA. The partnership would enable the company to leverage Moro Hub's multiple cloud services on a single platform to increase the scalability and security of its solutions for data management. This would help clients manage their high volumes of data in a streamlined manner and cost-effectively.
Product Launches and Product Expansions:
Jan-2023: Hewlett Packard took over Pachyderm, a US-based operator of data engineering platform. The blend of HPE and Pachyderm would deliver a combined ML pipeline and platform to advance a customer's journey.
Dec-2022: Oracle Corporation took over Newmetrix, a cloud-based platform that uses artificial intelligence to highlight construction problems focused on project safety. Through this acquisition, Oracle Corporation would be able to fasten its abilities in utilizing Machine Learning and AI to construct more predictive behaviors.
Jul-2022: IBM took over Databand.ai, a leader in data observability software. With this acquisition, the company aimed to strengthen its software portfolio through automation, data, and AI to address the full spectrum of observability.
Mar-2022: Microsoft acquired Nuance Communications, a US-based company that provides speech recognition solutions, healthcare AI solutions, and omnichannel customer engagement. This acquisition enables healthcare services providers a better opportunity to provide economical, attainable healthcare services, and allows organizations in other industries to better serve the needs of their clients.
Acquisitions and Mergers:
Apr-2023: Oracle Corporation added new capabilities for Oracle Fusion Cloud Applications Suite. The new capabilities include AI-powered lead time estimation for improved lead time assumptions, a better quote-to-cash process, and Rebate management facilities.
Mar-2023: Google Cloud announced the launch of Generative AI App Builder. The launched product enables developers to rapidly ship the latest experiences consisting of chat interfaces, digital assistants, bots, and more. Additionally, with this launch, Google enables a complete generation of developers, builders, innovators, and doers to leverage the power of AI in novel ways.
Mar-2023: TCS unveiled TCS Cognitive Plant Operations Adviser, a composite AI solution for manufacturing and process plant operations that utilizes Microsoft Project Bonsai's low-code, AI platform to offer insights and information to plant operators for making real-time and autonomous decisions.
Oct-2022: Oracle Corporation introduced new features for Oracle Fusion Analytics for customer experience. The new features include Oracle Fusion CX Analytics, Oracle Fusion ERP Analytics, Oracle Fusion SCM Analytics, and Oracle Fusion HCM Analytics.
Jul-2022: IBM Corporation introduced IBM Process Automation Manager Open Edition and IBM Decision Manager Open Edition. IBM Process Automation Manager Open Edition is a workflow automation facility that includes BPMN2.0 modeling, full decision management, and dashboarding support. IBM Decision Manager Open Edition is an Automation Decision service that includes DMN1.4-compliant runtime, Kogito-based cloud-native architecture, and complex event processing.
Market Segments covered in the Report:
By Deployment Type
By Technology
By Enterprise Size
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research