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市場調査レポート
商品コード
1519664
コグニティブコンピューティング市場レポート：技術、展開タイプ、企業規模、業界別、地域別、2024年～2032年Cognitive Computing Market Report by Technology, Deployment Type, Enterprise Size, Industry Vertical, and Region 2024-2032 |
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| コグニティブコンピューティング市場レポート：技術、展開タイプ、企業規模、業界別、地域別、2024年～2032年 |
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出版日: 2024年07月01日
発行: IMARC
ページ情報: 英文 149 Pages
納期: 2～3営業日
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- 全表示
- 概要
- 図表
- 目次
世界のコグニティブコンピューティング市場規模は2023年に410億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけて21.8%の成長率（CAGR）を示し、2032年までに2,548億米ドルに達すると予測しています。同市場は、ヘルスケア分野での広範な利用、人工知能（AI）および機械学習（ML）技術の継続的な進歩、リスク評価とリソース配分のための予測分析の利用増加などを背景に、着実な成長を遂げています。
コグニティブコンピューティング市場分析：
市場の成長と規模世界のコグニティブコンピューティング市場は、AIとML技術の採用増加により、近年着実な成長を遂げています。
技術の進歩：より洗練された自然言語処理（NLP）アルゴリズムや改良されたニューラルネットワークの開発が増加しています。さらに、量子コンピューティングが認知システムの能力を高めています。
産業への応用：コグニティブコンピューティングは、ヘルスケア、金融、小売、製造など、さまざまな業界で応用されています。ヘルスケアでは、診断と治療の推奨を支援し、BFSIセクターでは不正検知とリスク評価を強化します。
地理的動向：北米は引き続き世界のコグニティブコンピューティング市場を独占しており、市場収益の大きなシェアを占めています。しかし、アジア太平洋地域は、AIとデジタルトランスフォーメーションへの投資の増加により、最も急速に成長している市場の1つです。
競合情勢：新興国市場の大手企業は、包括的なコグニティブ・ソリューションを提供し、研究開発（R&D）活動に投資しています。
課題と機会：データプライバシーに関する懸念の高まりと、コグニティブコンピューティング・システムにおける強固なサイバーセキュリティ対策の必要性の高まりが、市場の主な課題です。しかし、自律走行車やパーソナライズド・マーケティングなどのアプリケーションの拡大は、これらの課題を克服し、良好な市場見通しを提供すると予測されます。
将来の展望：世界のコグニティブコンピューティング市場の将来は有望であり、AIの進歩とデータ主導の洞察に対する需要の増加により、継続的な成長が見込まれます。また、テクノロジー大手と新興企業との協業が活発化していることから、イノベーションが促進され、市場成長に寄与する可能性が高いです。
コグニティブコンピューティング市場動向：
人工知能（AI）と機械学習（ML）の進歩
人工知能（AI）および機械学習（ML）技術の継続的な進歩は、市場成長を促進する主な要因の1つです。また、これらの技術の統合により、コグニティブコンピューティング・システムは、明示的なプログラミングなしに、膨大な量のデータを処理し、パターンを認識し、意思決定や推奨を行うことができます。この進化により、コグニティブコンピューティング・ソリューションの精度とスピードが大幅に向上し、より効率的で信頼性の高いものとなっています。AIのサブセットであるNLPは、機械が人間の言語を理解し、対話することを可能にします。これは、チャットボット、バーチャルアシスタント、センチメント分析ツールの開発につながっており、顧客サービス、コンテンツ生成、市場調査などに応用されています。さらに、コグニティブコンピューティングは、AIとMLによる予測分析を活用して、将来の動向を予測し、潜在的な問題を特定し、意思決定を最適化します。これに伴い、リスク評価や資源配分のための予測分析の利用が増加しており、市場の成長を強化しています。
データ主導の洞察に対する需要の高まり
データ主導の洞察に対する需要の高まりは、市場の見通しを良好なものにしています。また、十分な情報に基づいた意思決定、効率性の向上、競争優位性の獲得におけるデータの重要性に対する企業の認識が高まっていることも、良好な市場見通しをもたらしています。ソーシャルメディア、モノのインターネット（IoT）デバイス、センサーなど、多様なソースからのデータの急激な増加は、意味のある洞察を抽出するコグニティブコンピューティングのような高度なツールの必要性を促進しています。これらのインサイトは、市場分析、顧客セグメンテーション、パーソナライズされたマーケティング戦略に利用できます。これとともに、ヘルスケア分野でコグニティブコンピューティング・システムが広く使用され、患者の記録、医療画像、臨床データを分析して病気の診断、治療計画、創薬を支援していることが、市場の成長を強化しています。さらに、市場動向の分析、取引の異常の検出、リスク管理のためにBFSI分野でコグニティブコンピューティング・ソリューションの採用が増加していることが、市場の成長を刺激しています。
業界固有のアプリケーションと採用
特定の課題に対処し、オーダーメイドのソリューションを提供する能力により、さまざまな産業でコグニティブコンピューティングの用途が拡大していることが、市場の成長を支えています。小売業におけるコグニティブコンピューティングの利用拡大が、市場に明るい展望をもたらしています。コグニティブコンピューティングは、顧客のショッピング体験を向上させるレコメンデーション・エンジンに力を与えます。また、これらのシステムは閲覧履歴や購入履歴を分析することで商品を提案し、売上や顧客満足度の向上につながります。これに伴い、製造業におけるコグニティブコンピューティングの広範な採用が市場にプラスの影響を与えています。コグニティブコンピューティングは、機器のメンテナンスの必要性を予測し、生産スケジュールを最適化し、品質管理を強化することで製造プロセスを改善し、ダウンタイムの削減とコスト削減を実現します。これとは別に、エネルギー分野ではコグニティブコンピューティングに依存して、発電の最適化、機器の故障予測、送電網の運用管理を行っています。これはエネルギー供給の効率と信頼性の向上に貢献します。
目次
第1章 序文
第2章 調査範囲と調査手法
- 調査の目的
- ステークホルダー
- データソース
- 一次情報
- 二次情報
- 市場推定
- ボトムアップアプローチ
- トップダウンアプローチ
- 調査手法
第3章 エグゼクティブサマリー
第4章 イントロダクション
- 概要
- 主要業界動向
第5章 世界のコグニティブコンピューティング市場
- 市場概要
- 市場実績
- COVID-19の影響
- 市場予測
第6章 市場内訳：技術別
- 自然言語処理
- 市場動向
- 市場予測
- 機械学習
- 市場動向
- 市場予測
- 自動推論
- 市場動向
- 市場予測
- その他
- 市場動向
- 市場予測
第7章 市場内訳：展開タイプ別
- オンプレミス
- 市場動向
- 市場予測
- クラウドベース
- 市場動向
- 市場予測
第8章 市場内訳：企業規模別
- 中小企業
- 市場動向
- 市場予測
- 大企業
- 市場動向
- 市場予測
第9章 市場内訳：業界別
- ヘルスケア
- 市場動向
- 市場予測
- BFSI
- 市場動向
- 市場予測
- 小売り
- 市場動向
- 市場予測
- 政府
- 市場動向
- 市場予測
- ITおよび通信
- 市場動向
- 市場予測
- エネルギーと電力
- 市場動向
- 市場予測
- その他
- 市場動向
- 市場予測
第10章 市場内訳：地域別
- 北米
- 米国
- カナダ
- アジア太平洋地域
- 中国
- 日本
- インド
- 韓国
- オーストラリア
- インドネシア
- その他
- 欧州
- ドイツ
- フランス
- 英国
- イタリア
- スペイン
- ロシア
- その他
- ラテンアメリカ
- ブラジル
- メキシコ
- その他
- 中東・アフリカ
- 市場動向
- 市場内訳：国別
- 市場予測
第11章 SWOT分析
- 概要
- 強み
- 弱み
- 機会
- 脅威
第12章 バリューチェーン分析
第13章 ポーターのファイブフォース分析
- 概要
- 買い手の交渉力
- 供給企業の交渉力
- 競合の程度
- 新規参入業者の脅威
- 代替品の脅威
第14章 価格分析
第15章 競合情勢
- 市場構造
- 主要企業
- 主要企業のプロファイル
- Acuiti Group
- Cisco Systems Inc.
- Enterra Solutions LLC
- Expert .AI
- e-Zest Solutions Ltd
- Google LLC（Alphabet Inc.）
- International Business Machines Corporation
- Marlabs LLC
- Microsoft Corporation
- Red Skios Ltd.
- Sas Institute Inc.
- Tata Consultancy Services Ltd.
- Vantage Labs LLC
- Virtusa Corporation
List of Figures
- Figure 1: Global: Cognitive Computing Market: Major Drivers and Challenges
- Figure 2: Global: Cognitive Computing Market: Sales Value (in Billion US$), 2018-2023
- Figure 3: Global: Cognitive Computing Market Forecast: Sales Value (in Billion US$), 2024-2032
- Figure 4: Global: Cognitive Computing Market: Breakup by Technology (in %), 2023
- Figure 5: Global: Cognitive Computing Market: Breakup by Deployment Type (in %), 2023
- Figure 6: Global: Cognitive Computing Market: Breakup by Enterprise Size (in %), 2023
- Figure 7: Global: Cognitive Computing Market: Breakup by Industry Vertical (in %), 2023
- Figure 8: Global: Cognitive Computing Market: Breakup by Region (in %), 2023
- Figure 9: Global: Cognitive Computing (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 10: Global: Cognitive Computing (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 11: Global: Cognitive Computing (Machine Learning) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 12: Global: Cognitive Computing (Machine Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 13: Global: Cognitive Computing (Automated Reasoning) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 14: Global: Cognitive Computing (Automated Reasoning) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 15: Global: Cognitive Computing (Other Technologies) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 16: Global: Cognitive Computing (Other Technologies) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 17: Global: Cognitive Computing (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 18: Global: Cognitive Computing (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 19: Global: Cognitive Computing (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 20: Global: Cognitive Computing (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 21: Global: Cognitive Computing (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 22: Global: Cognitive Computing (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 23: Global: Cognitive Computing (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 24: Global: Cognitive Computing (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 25: Global: Cognitive Computing (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 26: Global: Cognitive Computing (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 27: Global: Cognitive Computing (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 28: Global: Cognitive Computing (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 29: Global: Cognitive Computing (Retail) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 30: Global: Cognitive Computing (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 31: Global: Cognitive Computing (Government) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 32: Global: Cognitive Computing (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 33: Global: Cognitive Computing (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 34: Global: Cognitive Computing (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 35: Global: Cognitive Computing (Energy and Power) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 36: Global: Cognitive Computing (Energy and Power) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 37: Global: Cognitive Computing (Other Industry Verticals) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 38: Global: Cognitive Computing (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 39: North America: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 40: North America: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 41: United States: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 42: United States: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 43: Canada: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 44: Canada: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 45: Asia-Pacific: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 46: Asia-Pacific: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 47: China: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 48: China: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 49: Japan: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 50: Japan: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 51: India: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 52: India: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 53: South Korea: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 54: South Korea: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 55: Australia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 56: Australia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 57: Indonesia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 58: Indonesia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 59: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 60: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 61: Europe: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 62: Europe: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 63: Germany: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 64: Germany: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 65: France: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 66: France: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 67: United Kingdom: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 68: United Kingdom: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 69: Italy: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 70: Italy: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 71: Spain: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 72: Spain: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 73: Russia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 74: Russia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 75: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 76: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 77: Latin America: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 78: Latin America: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 79: Brazil: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 80: Brazil: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 81: Mexico: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 82: Mexico: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 83: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 84: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 85: Middle East and Africa: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
- Figure 86: Middle East and Africa: Cognitive Computing Market: Breakup by Country (in %), 2023
- Figure 87: Middle East and Africa: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 88: Global: Cognitive Computing Industry: SWOT Analysis
- Figure 89: Global: Cognitive Computing Industry: Value Chain Analysis
- Figure 90: Global: Cognitive Computing Industry: Porter's Five Forces Analysis
List of Tables
- Table 1: Global: Cognitive Computing Market: Key Industry Highlights, 2023 and 2032
- Table 2: Global: Cognitive Computing Market Forecast: Breakup by Technology (in Million US$), 2024-2032
- Table 3: Global: Cognitive Computing Market Forecast: Breakup by Deployment Type (in Million US$), 2024-2032
- Table 4: Global: Cognitive Computing Market Forecast: Breakup by Enterprise Size (in Million US$), 2024-2032
- Table 5: Global: Cognitive Computing Market Forecast: Breakup by Industry Vertical (in Million US$), 2024-2032
- Table 6: Global: Cognitive Computing Market Forecast: Breakup by Region (in Million US$), 2024-2032
- Table 7: Global: Cognitive Computing Market: Competitive Structure
- Table 8: Global: Cognitive Computing Market: Key Players
The global cognitive computing market size reached US$ 41.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 254.8 Billion by 2032, exhibiting a growth rate (CAGR) of 21.8% during 2024-2032. The market is experiencing steady growth driven by the widespread use in the healthcare sector, continuous advancements in artificial intelligence (AI) and machine learning (ML) technologies, and the rising utilization of predictive analytics for risk assessment and resource allocation.
Cognitive Computing Market Analysis:
Market Growth and Size: The global cognitive computing market has witnessed steady growth in recent years, driven by the increasing adoption of AI and ML technologies.
Technological Advancements: There is a rise in the development of more sophisticated natural language processing (NLP) algorithms and improved neural networks. Additionally, quantum computing is enhancing the capabilities of cognitive systems.
Industry Applications: Cognitive computing finds applications in various industries, including healthcare, finance, retail, and manufacturing. In healthcare, it aids in diagnosis and treatment recommendations, and enhances fraud detection and risk assessment in the BFSI sector.
Geographical Trends: North America continues to dominate the global cognitive computing market, with a significant share of the market revenue. Nonetheless, Asia-Pacific is one of the fastest-emerging markets on account of the increasing investments in AI and digital transformation initiatives.
Competitive Landscape: Leading players in the market are offering comprehensive cognitive solutions and investing in research and development (R&D) activities.
Challenges and Opportunities: The growing data privacy concerns and the rising need for robust cybersecurity measures in cognitive computing systems are the major challenges of the market. However, the expanding applications, such as in autonomous vehicles and personalized marketing, are projected to overcome these challenges and offer a favorable market outlook.
Future Outlook: The future of the global cognitive computing market appears promising, with continued growth expected due to advancements in AI and increasing demand for data-driven insights. In addition, the rising collaborations between technology giants and startups are likely to drive innovation and contribute to the market growth.
Cognitive Computing Market Trends:
Advancements in Artificial Intelligence (AI) and Machine Learning (ML)
Continuous advancements in artificial intelligence (AI) and machine learning (ML) technologies represent one of the primary factors facilitating the market growth. In addition, the integration of these technologies enables cognitive computing systems to process vast amounts of data, recognize patterns, and make decisions or recommendations without explicit programming. This evolution is significantly the accuracy and speed of cognitive computing solutions, making them more efficient and reliable. NLP, a subset of AI, enables machines to understand and interact with human language. This is leading to the development of chatbots, virtual assistants, and sentiment analysis tools, which find applications in customer service, content generation, and market research. In addition, cognitive computing leverages predictive analytics powered by AI and ML to forecast future trends, identify potential issues, and optimize decision-making. In line with this, the rising utilization of predictive analytics for risk assessment and resource allocation is strengthening the growth of the market.
Growing Demand for Data-driven Insights
The escalating demand for data-driven insights is offering a favorable market outlook. In addition, the increasing awareness among businesses about the importance of data in making informed decisions, improving efficiency, and gaining a competitive edge is offering a favorable market outlook. The exponential growth of data from diverse sources, including social media, the Internet of Things (IoT) devices, and sensors, is driving the need for advanced tools like cognitive computing to extract meaningful insights. These insights can be used for market analysis, customer segmentation, and personalized marketing strategies. Along with this, the widespread use of cognitive computing systems in the healthcare sector to analyze patient records, medical images, and clinical data to assist in disease diagnosis, treatment planning, and drug discovery is strengthening the growth of the market. Furthermore, the rising adoption of cognitive computing solutions in the BFSI sector to analyze market trends, detect anomalies in transactions, and manage risk is stimulating the market growth.
Industry-specific Applications and Adoption
The expanding applications of cognitive computing in various industries due to its ability to address specific challenges and deliver tailored solutions are supporting the growth of the market. The increasing use of cognitive computing in the retail sector is creating a positive outlook for the market. Cognitive computing powers recommendation engines that enhance the shopping experience for customers. In addition, these systems suggest products by analyzing browsing and purchase history, leading to higher sales and customer satisfaction. In line with this, the widespread adoption of cognitive computing in the manufacturing industry is influencing the market positively. Cognitive computing improves manufacturing processes by predicting equipment maintenance needs, optimizing production schedules, and enhancing quality control, which results in reduced downtime and cost savings. Apart from this, the energy sector is relying on cognitive computing to optimize power generation, predict equipment failures, and manage grid operations. This contributes to increased efficiency and reliability of energy supply.
Cognitive Computing Industry Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on technology, deployment type, enterprise size, and industry vertical.
Breakup by Technology:
Natural Language Processing
Machine Learning
Automated Reasoning
Others
Natural language processing accounts for the majority of the market share
The report has provided a detailed breakup and analysis of the market based on the technology. This includes natural language processing, machine learning, automated reasoning, and others. According to the report, natural language processing represented the largest segment.
Natural language processing (NLP) empowers machines to understand, interpret, and generate human language, facilitating seamless communication between humans and computers. Its applications span a wide spectrum, ranging from chatbots that engage people in natural conversations to sentiment analysis tools that gauge public opinions and feedback. Furthermore, NLP underpins content generation and automated translation services, which drives its demand across the globe.
Machine learning (ML) constitutes a substantial portion of the cognitive computing market and continues to grow in importance. This technology empowers systems to learn from data, adapt, and make predictions or recommendations autonomously. In fields like finance, healthcare, and e-commerce, ML algorithms drive personalized recommendations, fraud detection, and predictive analytics. Its versatility and ability to uncover hidden patterns within vast datasets make it an asset.
Automated reasoning focuses on logical inference and problem-solving, enabling expert systems and decision support. It finds numerous applications in medical diagnoses or complex logistical planning. In addition, it contributes valuable capabilities to cognitive computing by ensuring the reliability and accuracy of automated decisions.
Breakup by Deployment Type:
On-premises
Cloud-based
Cloud-based holds the largest share in the industry
A detailed breakup and analysis of the market based on the deployment type have also been provided in the report. This includes on-premises and cloud-based. According to the report, cloud-based accounted for the largest market share.
On-premises deployment of cognitive computing solutions remains a significant choice for businesses, particularly those with stringent data security and compliance requirements. Organizations that opt for on-premises solutions have full control over their infrastructure and data, allowing them to customize and fine-tune cognitive systems to their specific needs. In addition, on-premises solutions are widely used in healthcare, finance, and government sectors for enhanced safety and data privacy.
Cloud-based deployment has gained immense popularity in the cognitive computing market due to its scalability, flexibility, and cost-effectiveness. It offers reduced infrastructure costs, rapid scalability, and access to cutting-edge cognitive technologies. Apart from this, cloud solutions also facilitate remote collaboration and data sharing, making them well-suited for businesses with a distributed workforce. They are especially favored by startups and smaller enterprises looking to quickly adopt cognitive computing capabilities without significant upfront investments.
Breakup by Enterprise Size:
Small and Medium-sized Enterprises
Large Enterprises
Large enterprises represent the leading market segment
The report has provided a detailed breakup and analysis of the market based on the enterprise size. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises represented the largest segment.
Large enterprises harness cognitive technologies to optimize various aspects of their operations, from supply chain management and customer relationship management to human resources and financial analysis. Large enterprises leverage big data analytics and machine learning to gain actionable insights from vast datasets, enabling them to make informed decisions and drive innovation. Additionally, they invest in custom-built cognitive solutions tailored to their specific needs.
Small and medium-sized enterprises are increasingly recognizing the value of cognitive computing in improving efficiency and competitiveness. Cognitive technologies empower SMEs to automate repetitive tasks, analyze customer data for personalized marketing, and enhance decision-making processes. The affordability of cloud-based cognitive solutions has made these technologies accessible to SMEs without the need for extensive infrastructure investments.
Breakup by Industry Vertical:
Healthcare
BFSI
Retail
Government
IT and Telecom
Energy and Power
Others
Healthcare accounts for the majority of the market share
A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes healthcare, BFSI, retail, government, IT and telecom, energy and power, and others. According to the report, healthcare holds the largest market share.
Cognitive computing technologies are widely used in the healthcare sector to enable advanced diagnostic systems, personalized treatment recommendations, and drug discovery processes. These innovations are improving patient outcomes, reducing medical errors, and optimizing healthcare operations. Furthermore, the rising focus of the industry on offering data-driven decision-making and the delivery of more effective and efficient healthcare services is facilitating the market growth.
The BFSI sector holds a significant share in the cognitive computing market, driven by the need for enhanced risk assessment, fraud detection, and customer service. Cognitive computing systems in this industry are used to analyze vast volumes of financial data, predict market trends, and automate routine tasks like customer inquiries and document processing. Additionally, they aid in optimizing investment portfolios and ensuring regulatory compliance.
The retail industry has embraced cognitive computing to provide personalized shopping experiences, optimize supply chain management, and enhance customer engagement. Cognitive systems analyze consumer behavior and preferences to offer tailored product recommendations, making online and in-store shopping more efficient and enjoyable.
Government agencies are increasingly adopting cognitive computing to improve public services, enhance cybersecurity, and streamline administrative processes. Cognitive systems assist in data analysis for policy-making, aid in threat detection and prevention, and automate routine tasks, allowing government employees to focus on higher-value activities.
The IT and telecom industry leverages cognitive computing to enhance network management, customer support, and data security. Cognitive systems analyze network performance, detect anomalies, and predict potential issues, leading to improved service quality. In customer support, chatbots powered by cognitive technologies offer quick and efficient assistance.
In the energy and power sector, cognitive computing contributes to more efficient energy management, predictive maintenance of power plants, and grid optimization. These technologies analyze vast datasets from sensors and equipment, helping prevent downtime and reduce energy waste. Cognitive systems also assist in forecasting energy demand and optimizing the distribution of renewable energy sources, aligning with sustainability goals and cost-effectiveness.
Breakup by Region:
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America leads the market, accounting for the largest cognitive computing market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
North America continues to lead the cognitive computing market due to its advanced technological infrastructure and substantial investments in artificial intelligence (AI) and cognitive technologies. The United States, being a global technology hub, plays a pivotal role in driving innovation and adoption. Additionally, key industries in the U.S., such as healthcare, finance, and manufacturing, heavily rely on cognitive computing for improving operational efficiency and decision-making.
The Asia-Pacific region is experiencing rapid growth in the cognitive computing market. China and Japan are standout leaders, driving innovation in AI and cognitive technologies. The continuous government support and robust tech ecosystem in China are propelling it to the forefront, with applications spanning manufacturing, healthcare, and finance. Additionally, the software development prowess and the increasing adoption of cognitive computing customer service and data analytics are driving the regional market. South Korea and Australia continue to invest heavily in AI research and development, while Indonesia is emerging as a market with growth potential across diverse sectors.
Europe represents a mature but steadily growing market for cognitive computing. Germany and France excel in manufacturing and aerospace, employing cognitive solutions to enhance productivity and quality control. The United Kingdom is a leader, particularly in financial services, where cognitive computing helps manage risk and improve customer experiences. Italy and Spain are expanding their use of cognitive computing in healthcare and retail.
Latin America is gradually embracing cognitive computing, with Brazil taking the lead, particularly in agriculture and finance. Furthermore, the growing tech sector and government initiatives in Brazil are leading to increased adoption of cognitive solutions. Mexico is also incorporating cognitive computing in manufacturing and logistics to enhance operational efficiency.
The Middle East and Africa are at an early stage of cognitive computing adoption. The UAE and South Africa are pioneers, using cognitive computing in financial services and healthcare to improve decision-making and customer experiences. In addition, as businesses and governments recognize the value of cognitive computing, opportunities across diverse industries are expected to emerge gradually, driving market expansion in this region.
Leading Key Players in the Cognitive Computing Industry:
The key players in the market are continually enhancing their cognitive computing platforms and services. They invest heavily in research and development to improve natural language processing (NLP), machine learning, and automated reasoning capabilities. Additionally, they are tailoring their offerings to meet the unique needs of sectors such as healthcare, finance, retail, and more. They are also collaborating with industry experts to develop specialized solutions, enabling customers to derive maximum value from their cognitive systems. Moreover, the key players are promoting cloud-based cognitive services to make them more accessible and scalable. They are expanding their cloud infrastructure globally, enabling businesses of all sizes to leverage cognitive computing without the need for significant hardware investments.
The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:
Acuiti Group
Cisco Systems Inc.
Enterra Solutions LLC
Expert .AI
e-Zest Solutions Ltd
Google LLC (Alphabet Inc.)
International Business Machines Corporation
Marlabs LLC
Microsoft Corporation
Red Skios Ltd.
Sas Institute Inc.
Tata Consultancy Services Ltd.
Vantage Labs LLC
Virtusa Corporation
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)
Latest News:
September 15, 2021: Enterra Solutions, LLC, a leading provider of Autonomous Decision Sciences(TM) technologies, announced the opening of a new office in Cambridge, Massachusetts. The new office located in Kendall Square will expand the business footprint and position of the company in a worldwide hub for technology innovation as it continues to drive development to the advanced artificial intelligence offerings that bridge the commercial sector, academia, and governing agencies.
March 14, 2023: Tata Consultancy Services Ltd. announced the launch of its 5G-enabled solution, TCS Cognitive Plant Operations Adviser for the Microsoft Azure Private Mobile Edge Computing (PMEC) platform, to help industries like manufacturing, oil and gas, consumer packaged goods, and pharmaceuticals transform production, harnessing AI and machine learning to make it more intelligent, agile and resilient.
November 29, 2023: Sas Institute Inc. a global leader in artificial intelligence (AI) and analytics, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to help customers extract maximum value and performance from their data in the cloud.
Key Questions Answered in This Report
- 1. What was the size of the global cognitive computing market in 2023?
- 2. What is the expected growth rate of the global cognitive computing market during 2024-2032?
- 3. What has been the impact of COVID-19 on the global cognitive computing market?
- 4. What are the key factors driving the global cognitive computing market?
- 5. What is the breakup of the global cognitive computing market based on the technology?
- 6. What is the breakup of the global cognitive computing market based on the deployment type?
- 7. What is the breakup of the global cognitive computing market based on enterprise size?
- 8. What is the breakup of the global cognitive computing market based on the industry vertical?
- 9. What are the key regions in the global cognitive computing market?
- 10. Who are the key players/companies in the global cognitive computing market?
Table of Contents
1 Preface
2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
5 Global Cognitive Computing Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
6 Market Breakup by Technology
- 6.1 Natural Language Processing
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Machine Learning
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 6.3 Automated Reasoning
- 6.3.1 Market Trends
- 6.3.2 Market Forecast
- 6.4 Others
- 6.4.1 Market Trends
- 6.4.2 Market Forecast
7 Market Breakup by Deployment Type
- 7.1 On-premises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Cloud-based
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
8 Market Breakup by Enterprise Size
- 8.1 Small and Medium-sized Enterprises
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Large Enterprises
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
9 Market Breakup by Industry Vertical
- 9.1 Healthcare
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
- 9.2 BFSI
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
- 9.3 Retail
- 9.3.1 Market Trends
- 9.3.2 Market Forecast
- 9.4 Government
- 9.4.1 Market Trends
- 9.4.2 Market Forecast
- 9.5 IT and Telecom
- 9.5.1 Market Trends
- 9.5.2 Market Forecast
- 9.6 Energy and Power
- 9.6.1 Market Trends
- 9.6.2 Market Forecast
- 9.7 Others
- 9.7.1 Market Trends
- 9.7.2 Market Forecast
10 Market Breakup by Region
- 10.1 North America
- 10.1.1 United States
- 10.1.1.1 Market Trends
- 10.1.1.2 Market Forecast
- 10.1.2 Canada
- 10.1.2.1 Market Trends
- 10.1.2.2 Market Forecast
- 10.1.1 United States
- 10.2 Asia-Pacific
- 10.2.1 China
- 10.2.1.1 Market Trends
- 10.2.1.2 Market Forecast
- 10.2.2 Japan
- 10.2.2.1 Market Trends
- 10.2.2.2 Market Forecast
- 10.2.3 India
- 10.2.3.1 Market Trends
- 10.2.3.2 Market Forecast
- 10.2.4 South Korea
- 10.2.4.1 Market Trends
- 10.2.4.2 Market Forecast
- 10.2.5 Australia
- 10.2.5.1 Market Trends
- 10.2.5.2 Market Forecast
- 10.2.6 Indonesia
- 10.2.6.1 Market Trends
- 10.2.6.2 Market Forecast
- 10.2.7 Others
- 10.2.7.1 Market Trends
- 10.2.7.2 Market Forecast
- 10.2.1 China
- 10.3 Europe
- 10.3.1 Germany
- 10.3.1.1 Market Trends
- 10.3.1.2 Market Forecast
- 10.3.2 France
- 10.3.2.1 Market Trends
- 10.3.2.2 Market Forecast
- 10.3.3 United Kingdom
- 10.3.3.1 Market Trends
- 10.3.3.2 Market Forecast
- 10.3.4 Italy
- 10.3.4.1 Market Trends
- 10.3.4.2 Market Forecast
- 10.3.5 Spain
- 10.3.5.1 Market Trends
- 10.3.5.2 Market Forecast
- 10.3.6 Russia
- 10.3.6.1 Market Trends
- 10.3.6.2 Market Forecast
- 10.3.7 Others
- 10.3.7.1 Market Trends
- 10.3.7.2 Market Forecast
- 10.3.1 Germany
- 10.4 Latin America
- 10.4.1 Brazil
- 10.4.1.1 Market Trends
- 10.4.1.2 Market Forecast
- 10.4.2 Mexico
- 10.4.2.1 Market Trends
- 10.4.2.2 Market Forecast
- 10.4.3 Others
- 10.4.3.1 Market Trends
- 10.4.3.2 Market Forecast
- 10.4.1 Brazil
- 10.5 Middle East and Africa
- 10.5.1 Market Trends
- 10.5.2 Market Breakup by Country
- 10.5.3 Market Forecast
11 SWOT Analysis
- 11.1 Overview
- 11.2 Strengths
- 11.3 Weaknesses
- 11.4 Opportunities
- 11.5 Threats
12 Value Chain Analysis
13 Porters Five Forces Analysis
- 13.1 Overview
- 13.2 Bargaining Power of Buyers
- 13.3 Bargaining Power of Suppliers
- 13.4 Degree of Competition
- 13.5 Threat of New Entrants
- 13.6 Threat of Substitutes
14 Price Analysis
15 Competitive Landscape
- 15.1 Market Structure
- 15.2 Key Players
- 15.3 Profiles of Key Players
- 15.3.1 Acuiti Group
- 15.3.1.1 Company Overview
- 15.3.1.2 Product Portfolio
- 15.3.2 Cisco Systems Inc.
- 15.3.2.1 Company Overview
- 15.3.2.2 Product Portfolio
- 15.3.2.3 Financials
- 15.3.2.4 SWOT Analysis
- 15.3.3 Enterra Solutions LLC
- 15.3.3.1 Company Overview
- 15.3.3.2 Product Portfolio
- 15.3.4 Expert .AI
- 15.3.4.1 Company Overview
- 15.3.4.2 Product Portfolio
- 15.3.4.3 Financials
- 15.3.5 e-Zest Solutions Ltd
- 15.3.5.1 Company Overview
- 15.3.5.2 Product Portfolio
- 15.3.6 Google LLC (Alphabet Inc.)
- 15.3.6.1 Company Overview
- 15.3.6.2 Product Portfolio
- 15.3.6.3 SWOT Analysis
- 15.3.7 International Business Machines Corporation
- 15.3.7.1 Company Overview
- 15.3.7.2 Product Portfolio
- 15.3.7.3 Financials
- 15.3.7.4 SWOT Analysis
- 15.3.8 Marlabs LLC
- 15.3.8.1 Company Overview
- 15.3.8.2 Product Portfolio
- 15.3.9 Microsoft Corporation
- 15.3.9.1 Company Overview
- 15.3.9.2 Product Portfolio
- 15.3.9.3 Financials
- 15.3.9.4 SWOT Analysis
- 15.3.10 Red Skios Ltd.
- 15.3.10.1 Company Overview
- 15.3.10.2 Product Portfolio
- 15.3.11 Sas Institute Inc.
- 15.3.11.1 Company Overview
- 15.3.11.2 Product Portfolio
- 15.3.11.3 SWOT Analysis
- 15.3.12 Tata Consultancy Services Ltd.
- 15.3.12.1 Company Overview
- 15.3.12.2 Product Portfolio
- 15.3.12.3 Financials
- 15.3.12.4 SWOT Analysis
- 15.3.13 Vantage Labs LLC
- 15.3.13.1 Company Overview
- 15.3.13.2 Product Portfolio
- 15.3.14 Virtusa Corporation
- 15.3.14.1 Company Overview
- 15.3.14.2 Product Portfolio
- 15.3.14.3 SWOT Analysis
- 15.3.1 Acuiti Group
