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市場調査レポート
商品コード
1309660
複合AIの世界市場規模、シェア、業界動向分析レポート:技術別、業界別、用途別、提供別、地域別展望と予測、2023年~2030年Global Composite AI Market Size, Share & Industry Trends Analysis Report By Technique, By Vertical, By Application, By Offering, By Regional Outlook and Forecast, 2023 - 2030 |
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複合AIの世界市場規模、シェア、業界動向分析レポート:技術別、業界別、用途別、提供別、地域別展望と予測、2023年~2030年 |
出版日: 2023年06月30日
発行: KBV Research
ページ情報: 英文 445 Pages
納期: 即納可能
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複合AI市場規模は2030年までに85億米ドルに達すると予測され、予測期間中のCAGRは36.9%の市場成長率で上昇する見込みです。
KBV Cardinalのマトリックスに掲載された分析によると、Microsoft CorporationとGoogle LLCが同市場の先駆者です。2023年6月、マイクロソフトはインドのIT企業HCLTechとの提携を拡大し、AIを活用したジェネレーティブなビジネス変革ソリューションを企業に提供します。この提携により、マイクロソフトは、AIを活用した業務上の洞察力を活用し、より良い意思決定のためのソリューションを提供することで、顧客により良いサービスを提供できるようになります。
市場成長要因
エッジコンピューティングやIoTとの統合によるリアルタイムの意思決定
エッジコンピューティングの採用は、モノのインターネット(IoT)デバイスのユビキタス化とリアルタイムの意思決定の必要性によって促進されています。データをローカルで処理・分析することで、エッジデバイスと連携した複合AIシステムは待ち時間を短縮し、より迅速な洞察と回答を可能にします。この統合により、エッジコンピューティング環境における複合AIソリューションの展開が可能になります。インテリジェント・アプリケーションと5G/6Gモノのインターネット(IoT)ネットワークは、エッジ・コンピューティングに大きく依存しています。IoTエコシステムは、効果的なデータ分析と洞察の抽出のためにインテリジェントな学習を必要とする、膨大で異種混合の、極めてノイズの多い、時空間相関のあるリアルタイムのデータストリームを作り出します。これらのデバイスには、センサー、モバイル、メモリー・ユニットなどが含まれます。
パフォーマンスと精度を向上させるため、AIアプリケーションはより複雑化している
AIアプリケーションの複雑さは増しており、多くのAIモデルとテクノロジーの融合が必要となっています。組織は現在、MLを使用して大規模なニューラルネットワークを訓練しても、複雑化する課題に対処するための規模を拡大できない場合があるという事実に対処しています。結論として、AIアプリケーションの複雑化は、並外れた性能と精度を求める市場の盛り上がりを支えると思われます。
市場抑制要因
データ・セキュリティとプライバシーの問題
AI技術に対する自信の欠如や、その可能性と制約に対する認識が不十分なため、一部の企業は複合AIソリューションの採用をためらう可能性があります。また、データ・セキュリティやプライバシー、AIアルゴリズムに含まれる可能性のあるバイアスに対する懸念から、導入上の課題が生じる可能性もあります。データ漏えいや個人情報への不正アクセスは、AIの主要なプライバシー問題です。したがって、予測期間中、データ・セキュリティとプライバシーに関する懸念が市場の開拓を抑制する可能性があります。
提供の展望
提供に基づき、市場はハードウェア、ソフトウェア、サービスに区分されます。2022年の市場では、ソフトウェア・セグメントが最も高い収益シェアを占めました。複合AIソフトウェアは、多くの場合、複数のAIモデルまたはアルゴリズムの円滑な統合とオーケストレーションを可能にするプラットフォームまたはフレームワークを提供します。これにより、ユーザーは複雑な問題に対処するために、これらのAIコンポーネントの多くの機能を使用することで、より良い判断を下すことができます。組織は、複合AIソフトウェアを使用して、さまざまな種類のデータを処理・分析し、複雑なパターンを理解し、洞察を提供し、結果を予測し、AIアプローチのミックスを必要とする活動を実行する高度なAIアプリケーションを作成することができます。
ソフトウェアの展望
ソフトウェアでは、市場はAI開発プラットフォーム&ツール、MLフレームワーク、AIミドルウェア、その他のソフトウェアに二分されます。2022年には、AI開発プラットフォーム&ツール分野が市場で最大の収益シェアを記録しました。企業や開発者は、TensorFlow、PyTorch、IBM Watsonのような低コストでアクセス可能なAIツールやプラットフォームの出現により、AIソリューションをより迅速かつシンプルに設計・修正できるようになっています。AIシステムは、コードのコンパイルや品質保証のようなソフトウェア開発手順をスピードアップする可能性があり、ソフトウェア開発にかかる時間と費用を削減することができます。
技術の展望
技術に基づき、市場はプロアクティブメカニズム、データ処理、パターン認識、条件付きモニタリング、データマイニング&機械学習、その他に分類されます。2022年には、データマイニング&機械学習分野が市場で突出した収益シェアを予測しました。データマイニングと機械学習の技術は、複合AIソリューションの商業化に不可欠です。データマイニングと機械学習の手法を組み合わせた複合AIシステムは、システムが膨大な量のデータを分析し、パターンを見つけ、未来を予測し、意思決定を改善することを可能にします。データの力を利用することで、複合AIシステムは、さまざまな領域や用途にわたって、インテリジェントで適応性があり、文脈を認識する機能を提供することができます。
用途の展望
新興国市場は、用途別に、製品設計・開拓、品質管理、予知保全、セキュリティ・監視、顧客サービス、その他に分けられます。2022年には、予測メンテナンス分野が市場で大きな収益シェアを記録しました。機器の故障やメンテナンスの必要性を予測しようとする予知保全では、複合AIが有益である可能性があります。それは、より良い資産管理方法、データに基づく意思決定、正確な予測を提供します。
業界別展望
業界別では、BFSI、小売・eコマース、製造、エネルギー・公益、輸送・物流、ヘルスケア・ライフサイエンス、メディア・エンターテインメント、政府・軍事、通信、その他に区分されます。BFSIセグメントは、2022年の市場で最大の収益シェアを記録しました。BFSI業界では、複合AIソリューションは、コンプライアンスと規制報告、リスク評価と管理、顧客サービス、信用スコアリング、詐欺の検出と防止など、さまざまな目的で使用されています。
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。北米地域は、2022年の売上高シェアが最も高く、市場をリードしています。北米は複合AIソリューションの導入と拡大における世界的リーダーです。最先端のAI技術ビジネスの存在、強力な研究開発スキル、発展した市場エコシステムなどが、この地域の複合AIソリューションの急速な台頭に一役買っています。複合AIは、ヘルスケア、小売、BFSI、製造などの主要セクターで、イノベーションの促進、消費者体験の向上、業務効率の向上に活用されています。
List of Figures
The Global Composite AI Market size is expected to reach $8.5 billion by 2030, rising at a market growth of 36.9% CAGR during the forecast period.
The need of Composite AI in Security & surveillance is growing as organizations may increase situational awareness, strengthen threat detection capabilities, automate monitoring procedures, and allow more effective and proactive security actions by using composite AI in security and surveillance. Therefore, Security & Surveillance acquired $83.4 million revenue in the market in 2022. Composite artificial intelligence (AI) may significantly advance numerous elements of safety monitoring, danger identification, and response. The market is predicted to expand due to the increased requirement for data protection since many firms have recently experienced severe security breaches and data breaches.
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. For instance, In June, 2023, Google LLC signed a partnership with Sysdig to integrate its generative artificial intelligence (AI) features with Sysdig's cloud security platform. The partnership would provide the joint customers of the two companies with secure cloud-based automation solutions that would drive better productivity. Additionally, In June, 2023, Salesforce extended its partnership with Google Cloud to develop solutions for AI-powered customer experience solutions. The partnership would allow the two companies to provide their clients with personalized customer experience solutions.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In June, 2023, Microsoft Corporation extended its partnership with HCLTech, an Indian IT company, to provide generative AI-powered business transformation solutions to enterprises. The partnership would allow Microsoft to serve its customers in a better way by providing them with solutions for better decision-making through the use of AI-powered operational insights. Companies such as Intel Corporation, NVIDIA Corporation, SAP SE are some of the key innovators in the Market.
Market Growth Factors
Real-time decision-making via integration with edge computing and IoT
Edge computing adoption is being fueled by the ubiquity of Internet of Things (IoT) devices and the need for real-time decision-making. By processing and analyzing data locally, composite AI systems linked with edge devices may lower latency and enable quicker insights and answers. This integration makes the deployment of composite AI solutions in edge computing settings possible. Intelligent applications and 5G/6G Internet of Things (IoT) networks rely heavily on edge computing. The IoT ecosystem creates enormous, heterogeneous, extremely noisy, spatiotemporal-correlated, real-time data streams that need intelligent learning for effective data analysis and insight extraction. These devices include sensors, mobiles, and memory units.
AI applications are becoming more intricate to improve performance and accuracy
The complexity of AI applications is increasing, necessitating the fusion of many AI models and technologies. Organizations are now dealing with the fact that training a large neural network using ML only sometimes scales to address challenges of growing complexity. In conclusion, the increasing complexity of AI applications will support the rise of the market for extraordinary performance and accuracy.
Market Restraining Factors
Issues with data security and privacy
Due to a lack of confidence in AI technology or incomplete awareness of its potential and constraints, some businesses could hesitate to employ composite AI solutions. Implementation challenges may also arise from worries about data security, privacy, and possible biases in AI algorithms. Data leaks and illegal access to private information are the key privacy issues with AI. Thus, over the projection period, worries about data security and privacy may restrain the development of the market.
Offering Outlook
Based on offering, the market is segmented into hardware, software, and services. The software segment held the highest revenue share in the market in 2022. Composite AI software often provides a platform or framework that enables the smooth integration and orchestration of several AI models or algorithms. It allows users to make better judgments by using the many capabilities of these AI components to address complex problems. Organizations may create sophisticated AI applications that process and analyze various data kinds, comprehend complicated patterns, provide insights, anticipate outcomes, and carry out activities that call for a mix of AI approaches using composite AI software.
Software Outlook
Under software, the market is bifurcated into AI Development Platforms & Tools, ML Frameworks, AI Middleware, and other software. In 2022, the AI Development Platforms & Tools segment registered the largest revenue share in the market. Businesses and developers may now design and modify AI solutions more quickly and simply because of the emergence of low-cost and accessible AI tools and platforms like TensorFlow, PyTorch, and IBM Watson. AI systems may speed up software development procedures like code compilation and quality assurance, which can cut down on the time and expense involved in developing software.
Technique Outlook
Based on technique, the market is categorized into proactive mechanisms, data processing, pattern recognition, conditioned monitoring, data mining & machine learning, and others. In 2022, the data mining & machine learning segment projected a prominent revenue share in the market. Techniques for data mining and machine learning are essential for commercializing Composite AI solutions. Composite AI systems that combine data mining and machine learning methods allow the system to analyze enormous volumes of data, find patterns, anticipate the future, and improve decision-making. Using data's power allows composite AI systems to offer intelligent, adaptive, and context-aware capabilities across a range of domains and applications.
Application Outlook
On the basis of application, the market is divided into product design & development, quality control, predictive maintenance, security & surveillance, customer service, and others. In 2022, the predictive maintenance segment registered a significant revenue share in the market. In predictive maintenance, which seeks to anticipate equipment breakdowns or maintenance requirements, composite AI may be beneficial. It provides better asset management methods, data-driven decision-making, and accurate projections.
Vertical Outlook
Based on the vertical, the market is segmented into BFSI, retail & eCommerce, manufacturing, energy & utilities, transportation & logistics, healthcare & life sciences, media & entertainment, government & military, telecom, and others. The BFSI segment registered the maximum revenue share in the market in 2022. In the BFSI industry, composite AI solutions are used for various purposes, including compliance and regulatory reporting, risk assessment and management, customer service, credit scoring, and fraud detection and prevention.
Regional Outlook
Region wise, the market is analysed across North America, Europe, Asia Pacific and LAMEA. The North America region led the market with highest revenue share in 2022. North America is a global leader in implementing and expanding composite AI solutions. The existence of cutting-edge AI technology businesses, strong R&D skills, and a developed market ecosystem all play a role in the region's fast rise of composite AI solutions. Composite AI is being used by major sectors, including healthcare, retail, BFSI, and manufacturing, to promote innovation, improve consumer experiences, and increase operational effectiveness.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, and Squirro AG
Recent Strategies Deployed in Composite AI Market
Partnerships, Collaborations, and Agreements:
Jun-2023: Microsoft Corporation extended its partnership with HCLTech, an Indian IT company, to provide generative AI-powered business transformation solutions to enterprises. The partnership would allow Microsoft to serve its customers in a better way by providing them with solutions for better decision-making through the use of AI-powered operational insights.
Jun-2023: Google LLC signed a partnership with Sysdig, a cloud-based security solutions provider, to integrate its generative artificial intelligence (AI) features with Sysdig's cloud security platform. The partnership would provide the joint customers of the two companies with secure cloud-based automation solutions that would drive better productivity.
Jun-2023: Google LLC partnered with Twilio Inc., a customer engagement platform, to integrate Twilio's customer engagement offerings with Google Cloud's generative artificial intelligence (AI). The partnership would allow Google to provide its clients with AI-powered customer engagement tools that would drive their business growth.
Jun-2023: Salesforce extended its partnership with Google Cloud, a cloud platform offered by Google, to develop solutions for AI-powered customer experience solutions. The partnership would allow the two companies to provide their clients with personalized customer experience solutions.
Jun-2023: Amazon Web Services Inc. announced an extended partnership with Lacework Inc., a cloud security services provider, to integrate Amazon GuardDuty with Lacework's portfolio. The partnership would allow Amazon Web Services to provide its customers with anomaly detection solutions that would drive better security outcomes.
May-2023: Microsoft Corporation signed a partnership with NVIDIA, an American technology company, to provide solutions for Ai-powered business transformation. The partnership features a combination of Microsoft's Azure Machine Learning with NVIDIA AI Enterprise software that would allow the joint customers of the two companies to gain access to a protected business platform.
May-2023: NVIDIA Corporation partnered with ServiceNow, a software company based in the US, to provide workflow automation capabilities. The partnership would allow NVIDIA to serve its IT customers in a better way by providing them with generative AI solutions.
May-2023: SAP SE signed a partnership with Google Cloud, a cloud platform offered by Google, to integrate Google Cloud's Data and Analytics Technology with SAP's portfolio. The partnership enables SAP to serve its customers in a better way by providing them with a portfolio that would simplify the data landscapes, perform advanced analysis and provide quick access to important business-related data.
Feb-2023: IBM Corporation announced a partnership with NASA, an American civil space agency, to develop AI-powered solutions for contextual analysis. The solutions developed by IBM in the course of this partnership would be useful to several other organizations including NASA, thereby, allowing IBM to strengthen its market position.
Feb-2023: Amazon Web Services, Inc. partnered with Baker Hughes, an energy technology solutions provider, to develop solutions for automated field production. The partnership would allow the joint customers of the two companies to increase their productivity by providing them with solutions for proactive management and automated field production.
Dec-2022: SAS Institute, Inc. entered into a partnership with Basserah, a data solutions provider based in Saudi Arabia, to provide solutions for data analytics to Saudi enterprises. The partnership allows SAS to expand its data analytics offerings and would allow the company to enhance its market share in the Saudi region.
Nov-2022: Squirro AG teamed up with Semantic Web Company, a knowledge graph provider, to launch Composite AI solutions. The collaboration would provide the joint customers of the two companies with better decision-making solutions by combining Squirro's Insight Engine with Semantic Web Company's knowledge graph technology.
Sep-2022: Salesforce, Inc. entered into a partnership with AWS, an IT services provider based in the United States, to integrate the Salesforce Platform with Amazon SageMaker. The partnership allows the two companies to provide their customers with solutions to build business-specific AI models.
May-2021: SAP extended its partnership with Team Liquid, a leading worldwide professional esports organization. By using the power of SAP HANA, predictive & machine learning functionalities, and the SAP Business Technology Platform, Team Liquid would more rapidly and efficiently evaluate opponents' approaches.
Jan-2021: SAP SE extended its partnership with Microsoft, an American multinational technology company. This partnership aimed to combine Microsoft Teams with SAP's intelligent portfolio of solutions and boost the adoption of SAP S/4HANA on Microsoft Azure. In addition, the companies also focus on simplifying and streamlining users' journeys to the cloud.
Product Launches and Product Expansions:
May-2023: IBM Corporation announced the launch of the Watsonx Platform, an AI-powered solution that provided end-to-end workflow solutions. The Watsonx Platform features three product sets namely, IBM watsonx.ai, an AI-powered solution that facilitates generative AI and machine learning deployment, IBM Watsonx.data, a data store used for AI workloads and governed data applications and IBM Watsonx.governance, an AI-workflow solution.
Apr-2023: Amazon Web Services announced the launch of Bedrock, a service used for developing generative AI applications. The Bedrock features accessibility to Amazon's Titan language models and customizability for data-specific needs. Furthermore, Bedrock can also be used with third-party language models.
Mar-2023: Salesforce, Inc. announced the launch of Einstein GPT, a CRM technology solution that utilizes AI to provide AI-created content at a hyper-scale. The Einstein GPT is compatible with Salesforce Data Cloud and features OpenAI's chatbot technology.
Mar-2023: NVIDIA Corporation introduced the NVIDIA NeMo framework and NVIDIA Picasso service. The NVIDIA NeMo framework is used for deploying large language models (LLMs) and facilitating enterprise hyper-personalization. The NeMo framework features NVIDIA DGX Cloud. The NVIDIA Picasso service is purely cloud-based and is used to create and deploy generative AI-based visuals. The Picasso service features Edify foundation for generating high-definition videos and images.
Mar-2023: SAP SE unveiled SAP Datasphere, a cloud-based data warehouse used for data integration and data cataloguing applications. The Datasphere features the SAP Business Technology Platform (BTP) used for data protection and governance purposes. Furthermore, Datasphere can be used with third-party technologies to overcome errors in data management.
Feb-2023: Google LLC unveiled Bard, a chatbot that leverages the use of AI for better results. Bard features the use of Google's Lambda language model that would facilitate humanlike interaction between the user and the chatbot.
Market Segments covered in the Report:
By Technique
By Vertical
By Application
By Offering
By Geography
Companies Profiled
Unique Offerings from KBV Research