시장보고서
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세계의 복합 AI 시장 규모, 점유율, 산업 동향 분석 보고서 : 기술별, 산업별, 용도별, 제공별, 지역별 전망 및 예측(2023-2030년)

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

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 445 Pages | 배송안내 : 즉시배송


※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

복합 AI(Composite AI) 시장 규모는 2030년까지 85억 달러에 달할 것으로 예측되며, 예측기간 중 CAGR은 36.9%의 성장률로 상승할 전망입니다.

KBV 카디널 매트릭스에 게재된 분석에 따르면 Microsoft Corporation과 Google LLC는 이 시장의 선구자입니다. 2023년 6월, 마이크로소프트는 인도의 IT기업 HClTech와의 제휴를 확대하고, AI를 활용한 제네레티브 비즈니스 변혁 솔루션을 기업에 제공합니다. 이 제휴를 통해 Microsoft는 AI를 활용한 비즈니스 통찰력을 활용하고 더 나은 의사 결정을 위한 솔루션을 제공함으로써 고객에게 더 나은 서비스를 제공할 수 있습니다.

시장 성장 요인

에지 컴퓨팅 및 IoT와의 통합을 통한 실시간 의사 결정

에지 컴퓨팅의 채택은 사물 인터넷(IoT) 장치의 유비쿼터스화와 실시간 의사결정의 필요성에 의해 촉진되고 있습니다. 데이터를 로컬로 처리 및 분석함으로써 에지 디바이스와 연계된 복합 AI 시스템은 대기 시간을 단축하고 보다 신속한 통찰과 답변을 가능하게 합니다. 이 통합을 통해 에지 컴퓨팅 환경에서 복합 AI 솔루션을 배포할 수 있습니다. 지능형 용도과 5G/6G 사물 인터넷(IoT) 네트워크는 에지 컴퓨팅에 크게 의존합니다. IoT 생태계는 효과적인 데이터 분석과 통찰력을 추출하기 위해 지능적인 학습을 필요로 하는 엄청난 이종 혼합, 매우 잡음이 많은 시공간 상관이 있는 실시간 데이터 스트림을 생성합니다. 이러한 장치에는 센서, 모바일, 메모리 장치 등이 포함됩니다.

성능과 정확성을 향상시키기 위해 AI 용도는 더욱 복잡해지고 있습니다.

AI 용도의 복잡성은 증가하고 있으며 많은 AI 모델과 기술의 융합이 필요합니다. 조직은 현재 ML을 사용하여 대규모 신경망을 훈련하더라도 복잡한 과제를 해결하기 위한 규모를 확대하지 못할 수 있다는 사실을 다루고 있습니다. 결론적으로, AI 용도의 복잡화는 뛰어난 성능과 정확성을 요구하는 시장의 고조를 뒷받침할 것으로 보입니다.

시장 성장 억제 요인

데이터 보안 및 개인 정보 보호 문제

AI 기술에 대한 자신감이 부족하거나 그 가능성과 제약에 대한 인식이 불충분하기 때문에 일부 기업은 복합 AI 솔루션의 채택을 망설일 수 있습니다. 또한 데이터 보안, 프라이버시 및 AI 알고리즘에 포함될 수 있는 바이어스에 대한 우려로 인해 도입 문제가 발생할 수 있습니다. 데이터 유출 및 개인 정보에 대한 무단 액세스는 AI의 주요 개인 정보 보호 문제입니다. 따라서 예측 기간 동안 데이터 보안 및 개인 정보 보호 문제가 시장 개척을 억제할 수 있습니다.

제공 전망

제공에 따라 시장은 하드웨어, 소프트웨어, 서비스로 구분됩니다. 2022년 시장에서는 소프트웨어 부문이 가장 높은 수익 점유율을 차지했습니다. 복합 AI 소프트웨어는 종종 여러 AI 모델 또는 알고리즘의 원활한 통합 및 오케스트레이션을 가능하게 하는 플랫폼 또는 프레임워크를 제공합니다. 이를 통해 사용자는 복잡한 문제를 해결하기 위해 이러한 AI 구성 요소의 많은 기능을 사용하여 더 나은 결정을 내릴 수 있습니다. 조직은 복합 AI 소프트웨어를 사용하여 다양한 유형의 데이터를 처리 및 분석하고, 복잡한 패턴을 이해하고, 통찰력을 제공하고, 결과를 예측하며, AI 접근 방식의 믹스가 필요한 활동을 수행합니다. 하는 고급 AI 애플리케이션을 만들 수 있습니다.

소프트웨어 전망

소프트웨어에서 시장은 AI 개발 플랫폼 및 도구, ML 프레임 워크, AI 미들웨어 및 기타 소프트웨어로 이분됩니다. 2022년에는 AI 개발 플랫폼 및 도구 분야가 시장에서 가장 큰 수익 점유율을 기록했습니다. 기업 및 개발자는 TensorFlow, PyTorch, IBM Watson과 같은 저렴한 비용으로 액세스할 수 있는 AI 도구와 플랫폼의 출현으로 AI 솔루션을 보다 빠르고 간단하게 설계 및 수정할 수 있습니다. AI 시스템은 코드 컴파일 및 품질 보증과 같은 소프트웨어 개발 절차를 가속화할 수 있으므로 소프트웨어 개발에 소요되는 시간과 비용을 줄일 수 있습니다.

기술 전망

기술을 기반으로 시장은 사전 활성 메커니즘, 데이터 처리, 패턴 인식, 조건부 모니터링, 데이터 마이닝 및 머신러닝 등으로 분류됩니다. 2022년에는 데이터 마이닝 및 머신러닝 분야가 시장에서 압도적인 수익 점유율을 예측했습니다. 데이터 마이닝과 머신러닝 기술은 복합 AI 솔루션의 상업화에 필수적입니다. 데이터 마이닝과 머신러닝 기술을 결합한 복합 AI 시스템은 시스템이 엄청난 양의 데이터를 분석하고, 패턴을 찾고, 미래를 예측하며, 의사결정을 개선할 수 있습니다. 데이터의 힘을 활용함으로써 복합 AI 시스템은 다양한 영역과 용도에 걸쳐 지능적이고 적응성 있고 컨텍스트를 인식하는 기능을 제공할 수 있습니다.

용도 전망

신흥국 시장은 용도별로 제품 설계·개척, 품질관리, 예지보전, 보안·감시, 고객서비스 등으로 나눌 수 있습니다. 2022년에는 예측 유지보수 분야가 시장에서 큰 수익 점유율을 기록했습니다. 장비 고장 및 유지 보수 필요성을 예측하려는 예지 보전의 경우 복합 AI가 유익할 수 있습니다. 그것은 더 나은 자산 관리 방법, 데이터 기반 의사 결정, 정확한 예측을 제공합니다.

산업별 전망

산업별로는 BFSI, 소매 및 E-Commerce, 제조, 에너지·공익, 수송·물류, 헬스케어 및 생명과학, 미디어 및 엔터테인먼트, 정부·군사, 통신 등으로 구분됩니다. BFSI 부문은 2022년 시장에서 가장 큰 수익 점유율을 기록했습니다. BFSI 산업에서 복합 AI 솔루션은 컴플라이언스 및 규제 보고, 위험 평가 및 관리, 고객 서비스, 신용 점수, 사기 탐지 및 예방 등 다양한 목적으로 사용됩니다.

지역별 전망

지역별로 볼 때 시장은 북미, 유럽, 아시아 태평양, LAMEA로 분석됩니다. 북미는 2022년 매출 점유율이 가장 높으며 시장을 선도하고 있습니다. 북미는 복합 AI 솔루션의 도입과 확대에 있어 세계 리더입니다. 최첨단 AI 기술 비즈니스의 존재, 강력한 R&D 기술, 개발된 시장 생태계 등이 이 지역의 복합 AI 솔루션의 급속한 상승에 한몫하고 있습니다. 복합 AI는 의료, 소매, 은행/금융서비스/보험(BFSI), 제조 등 주요 섹터로 혁신 촉진, 소비자 경험 향상, 업무 효율 향상에 활용되고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개요

  • 소개
    • 개요
      • 시장 구성 및 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진 요인
    • 시장 성장 억제 요인

제3장 경쟁 분석-전 세계

  • KBV 카디널 매트릭스
  • 최근 산업 전체의 전략적 전개
    • 파트너십, 협업 및 계약
    • 제품 출시 및 제품 확대
  • 시장 점유율 분석(2021년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임

제4장 세계 복합 AI 시장 : 기술별

  • 세계의 데이터 처리 시장 : 지역별
  • 세계의 데이터 마이닝 및 머신러닝 시장 : 지역별
  • 세계의 조건부 모니터링 시장 : 지역별
  • 세계의 패턴 인식 시장 : 지역별
  • 세계의 제어 메커니즘 등 시장 : 지역별

제5장 세계 복합 AI 시장 : 산업별

  • 세계의 BFSI 시장 : 지역별
  • 세계의 통신 시장 : 지역별
  • 세계의 소매 및 전자상거래 시장 : 지역별
  • 세계의 헬스케어 및 생명과학 시장 : 지역별
  • 세계의 미디어 및 엔터테인먼트 시장 : 지역별
  • 세계의 에너지 및 전력 시장 : 지역별
  • 세계의 수송 및 물류 시장 : 지역별
  • 세계의 정부 및 방위 시장 : 지역별
  • 세계의 제조업 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제6장 세계 복합 AI 시장 : 용도별

  • 세계의 제품 설계·개발 시장 : 지역별
  • 세계의 품질 관리 시장 : 지역별
  • 세계의 예지 보전 시장 : 지역별
  • 세계의 보안 및 감시 시장 : 지역별
  • 세계의 고객 서비스 및 기타 시장 : 지역별

제7장 세계 복합 AI 시장 : 제공별

  • 세계의 하드웨어 시장 : 지역별
  • 세계의 복합 AI 시장 : 하드웨어 유형별
    • 세계의 프로세서 시장 : 지역별
    • 세계의 메모리 유닛 시장 : 지역별
    • 세계의 네트워크 시장 : 지역별
    • 세계의 기타 시장 : 지역별
  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 복합 AI 시장 : 소프트웨어 유형별
    • 세계의 AI 개발 플랫폼 및 툴 시장 : 지역별
    • 세계의 ML 프레임워크 시장 : 지역별
    • 세계의 AI 미들웨어 등 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제8장 세계 복합 AI 시장 : 지역별

  • 북미
    • 북미 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아 태평양
    • 아시아 태평양 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아 태평양
  • 남미·중동·아프리카
    • 남미·중동·아프리카 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카
      • 나이지리아
      • 기타 남미·중동·아프리카

제9장 기업 개요

  • IBM Corporation
  • SAS Institute, Inc
  • Google LLC(Alphabet Inc)
  • Intel Corporation
  • Salesforce, Inc
  • Microsoft Corporation
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • SAP SE
  • NVIDIA Corporation
  • Squirro AG
LYJ 23.08.22

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.

Scope of the Study

Market Segments covered in the Report:

By Technique

  • Data Processing
  • Data Mining & Machine Learning
  • Conditioned Monitoring
  • Pattern Recognition
  • Proactive Mechanism & Others

By Vertical

  • BFSI
  • Telecommunications
  • Retail & eCommerce
  • Healthcare & Lifesciences
  • Media & Entertainment
  • Energy & Power
  • Transportation & Logistics
  • Government & Defense
  • Manufacturing
  • Others

By Application

  • Product Design & Development
  • Quality Control
  • Predictive Maintenance
  • Security & Surveillance
  • Customer Service & Others

By Offering

  • Hardware
    • Processors
    • Memory Units
    • Networks
    • Others
  • Software
    • AI Development Platforms & Tools
    • ML Framework
    • AI Middleware & Others
  • Services

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Companies Profiled

  • 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
  • Squirro AG

Unique Offerings from KBV Research

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Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Composite AI Market, by Technique
    • 1.4.2 Global Composite AI Market, by Vertical
    • 1.4.3 Global Composite AI Market, by Application
    • 1.4.4 Global Composite AI Market, by Offering
    • 1.4.5 Global Composite AI Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market Overview

  • 2.1 Introduction
    • 2.1.1 Overview
      • 2.1.1.1 Market Composition and Scenario
  • 2.2 Key Factors Impacting the Market
    • 2.2.1 Market Drivers
    • 2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global

  • 3.1 KBV Cardinal Matrix
  • 3.2 Recent Industry Wide Strategic Developments
    • 3.2.1 Partnerships, Collaborations and Agreements
    • 3.2.2 Product Launches and Product Expansions
  • 3.3 Market Share Analysis, 2021
  • 3.4 Top Winning Strategies
    • 3.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
    • 3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jun - 2023, Jun) Leading Players

Chapter 4. Global Composite AI Market by Technique

  • 4.1 Global Data Processing Market by Region
  • 4.2 Global Data Mining & Machine Learning Market by Region
  • 4.3 Global Conditioned Monitoring Market by Region
  • 4.4 Global Pattern Recognition Market by Region
  • 4.5 Global Proactive Mechanism & Others Market by Region

Chapter 5. Global Composite AI Market by Vertical

  • 5.1 Global BFSI Market by Region
  • 5.2 Global Telecommunications Market by Region
  • 5.3 Global Retail & eCommerce Market by Region
  • 5.4 Global Healthcare & Lifesciences Market by Region
  • 5.5 Global Media & Entertainment Market by Region
  • 5.6 Global Energy & Power Market by Region
  • 5.7 Global Transportation & Logistics Market by Region
  • 5.8 Global Government & Defense Market by Region
  • 5.9 Global Manufacturing Market by Region
  • 5.1 Global Others Market by Region

Chapter 6. Global Composite AI Market by Application

  • 6.1 Global Product Design & Development Market by Region
  • 6.2 Global Quality Control Market by Region
  • 6.3 Global Predictive Maintenance Market by Region
  • 6.4 Global Security & Surveillance Market by Region
  • 6.5 Global Customer Service & Others Market by Region

Chapter 7. Global Composite AI Market by Offering

  • 7.1 Global Hardware Market by Region
  • 7.2 Global Composite AI Market by Hardware Type
    • 7.2.1 Global Processors Market by Region
    • 7.2.2 Global Memory Units Market by Region
    • 7.2.3 Global Networks Market by Region
    • 7.2.4 Global Others Market by Region
  • 7.3 Global Software Market by Region
  • 7.4 Global Composite AI Market by Software Type
    • 7.4.1 Global AI Development Platforms & Tools Market by Region
    • 7.4.2 Global ML Framework Market by Region
    • 7.4.3 Global AI Middleware & Others Market by Region
  • 7.5 Global Services Market by Region

Chapter 8. Global Composite AI Market by Region

  • 8.1 North America Composite AI Market
    • 8.1.1 North America Composite AI Market by Technique
      • 8.1.1.1 North America Data Processing Market by Country
      • 8.1.1.2 North America Data Mining & Machine Learning Market by Country
      • 8.1.1.3 North America Conditioned Monitoring Market by Country
      • 8.1.1.4 North America Pattern Recognition Market by Country
      • 8.1.1.5 North America Proactive Mechanism & Others Market by Country
    • 8.1.2 North America Composite AI Market by Vertical
      • 8.1.2.1 North America BFSI Market by Country
      • 8.1.2.2 North America Telecommunications Market by Country
      • 8.1.2.3 North America Retail & eCommerce Market by Country
      • 8.1.2.4 North America Healthcare & Lifesciences Market by Country
      • 8.1.2.5 North America Media & Entertainment Market by Country
      • 8.1.2.6 North America Energy & Power Market by Country
      • 8.1.2.7 North America Transportation & Logistics Market by Country
      • 8.1.2.8 North America Government & Defense Market by Country
      • 8.1.2.9 North America Manufacturing Market by Country
      • 8.1.2.10 North America Others Market by Country
    • 8.1.3 North America Composite AI Market by Application
      • 8.1.3.1 North America Product Design & Development Market by Country
      • 8.1.3.2 North America Quality Control Market by Country
      • 8.1.3.3 North America Predictive Maintenance Market by Country
      • 8.1.3.4 North America Security & Surveillance Market by Country
      • 8.1.3.5 North America Customer Service & Others Market by Country
    • 8.1.4 North America Composite AI Market by Offering
      • 8.1.4.1 North America Hardware Market by Country
      • 8.1.4.2 North America Composite AI Market by Hardware Type
        • 8.1.4.2.1 North America Processors Market by Country
        • 8.1.4.2.2 North America Memory Units Market by Country
        • 8.1.4.2.3 North America Networks Market by Country
        • 8.1.4.2.4 North America Others Market by Country
      • 8.1.4.3 North America Software Market by Country
      • 8.1.4.4 North America Composite AI Market by Software Type
        • 8.1.4.4.1 North America AI Development Platforms & Tools Market by Country
        • 8.1.4.4.2 North America ML Framework Market by Country
        • 8.1.4.4.3 North America AI Middleware & Others Market by Country
      • 8.1.4.5 North America Services Market by Country
    • 8.1.5 North America Composite AI Market by Country
      • 8.1.5.1 US Composite AI Market
        • 8.1.5.1.1 US Composite AI Market by Technique
        • 8.1.5.1.2 US Composite AI Market by Vertical
        • 8.1.5.1.3 US Composite AI Market by Application
        • 8.1.5.1.4 US Composite AI Market by Offering
      • 8.1.5.2 Canada Composite AI Market
        • 8.1.5.2.1 Canada Composite AI Market by Technique
        • 8.1.5.2.2 Canada Composite AI Market by Vertical
        • 8.1.5.2.3 Canada Composite AI Market by Application
        • 8.1.5.2.4 Canada Composite AI Market by Offering
      • 8.1.5.3 Mexico Composite AI Market
        • 8.1.5.3.1 Mexico Composite AI Market by Technique
        • 8.1.5.3.2 Mexico Composite AI Market by Vertical
        • 8.1.5.3.3 Mexico Composite AI Market by Application
        • 8.1.5.3.4 Mexico Composite AI Market by Offering
      • 8.1.5.4 Rest of North America Composite AI Market
        • 8.1.5.4.1 Rest of North America Composite AI Market by Technique
        • 8.1.5.4.2 Rest of North America Composite AI Market by Vertical
        • 8.1.5.4.3 Rest of North America Composite AI Market by Application
        • 8.1.5.4.4 Rest of North America Composite AI Market by Offering
  • 8.2 Europe Composite AI Market
    • 8.2.1 Europe Composite AI Market by Technique
      • 8.2.1.1 Europe Data Processing Market by Country
      • 8.2.1.2 Europe Data Mining & Machine Learning Market by Country
      • 8.2.1.3 Europe Conditioned Monitoring Market by Country
      • 8.2.1.4 Europe Pattern Recognition Market by Country
      • 8.2.1.5 Europe Proactive Mechanism & Others Market by Country
    • 8.2.2 Europe Composite AI Market by Vertical
      • 8.2.2.1 Europe BFSI Market by Country
      • 8.2.2.2 Europe Telecommunications Market by Country
      • 8.2.2.3 Europe Retail & eCommerce Market by Country
      • 8.2.2.4 Europe Healthcare & Lifesciences Market by Country
      • 8.2.2.5 Europe Media & Entertainment Market by Country
      • 8.2.2.6 Europe Energy & Power Market by Country
      • 8.2.2.7 Europe Transportation & Logistics Market by Country
      • 8.2.2.8 Europe Government & Defense Market by Country
      • 8.2.2.9 Europe Manufacturing Market by Country
      • 8.2.2.10 Europe Others Market by Country
    • 8.2.3 Europe Composite AI Market by Application
      • 8.2.3.1 Europe Product Design & Development Market by Country
      • 8.2.3.2 Europe Quality Control Market by Country
      • 8.2.3.3 Europe Predictive Maintenance Market by Country
      • 8.2.3.4 Europe Security & Surveillance Market by Country
      • 8.2.3.5 Europe Customer Service & Others Market by Country
    • 8.2.4 Europe Composite AI Market by Offering
      • 8.2.4.1 Europe Hardware Market by Country
      • 8.2.4.2 Europe Composite AI Market by Hardware Type
        • 8.2.4.2.1 Europe Processors Market by Country
        • 8.2.4.2.2 Europe Memory Units Market by Country
        • 8.2.4.2.3 Europe Networks Market by Country
        • 8.2.4.2.4 Europe Others Market by Country
      • 8.2.4.3 Europe Software Market by Country
      • 8.2.4.4 Europe Composite AI Market by Software Type
        • 8.2.4.4.1 Europe AI Development Platforms & Tools Market by Country
        • 8.2.4.4.2 Europe ML Framework Market by Country
        • 8.2.4.4.3 Europe AI Middleware & Others Market by Country
      • 8.2.4.5 Europe Services Market by Country
    • 8.2.5 Europe Composite AI Market by Country
      • 8.2.5.1 Germany Composite AI Market
        • 8.2.5.1.1 Germany Composite AI Market by Technique
        • 8.2.5.1.2 Germany Composite AI Market by Vertical
        • 8.2.5.1.3 Germany Composite AI Market by Application
        • 8.2.5.1.4 Germany Composite AI Market by Offering
      • 8.2.5.2 UK Composite AI Market
        • 8.2.5.2.1 UK Composite AI Market by Technique
        • 8.2.5.2.2 UK Composite AI Market by Vertical
        • 8.2.5.2.3 UK Composite AI Market by Application
        • 8.2.5.2.4 UK Composite AI Market by Offering
      • 8.2.5.3 France Composite AI Market
        • 8.2.5.3.1 France Composite AI Market by Technique
        • 8.2.5.3.2 France Composite AI Market by Vertical
        • 8.2.5.3.3 France Composite AI Market by Application
        • 8.2.5.3.4 France Composite AI Market by Offering
      • 8.2.5.4 Russia Composite AI Market
        • 8.2.5.4.1 Russia Composite AI Market by Technique
        • 8.2.5.4.2 Russia Composite AI Market by Vertical
        • 8.2.5.4.3 Russia Composite AI Market by Application
        • 8.2.5.4.4 Russia Composite AI Market by Offering
      • 8.2.5.5 Spain Composite AI Market
        • 8.2.5.5.1 Spain Composite AI Market by Technique
        • 8.2.5.5.2 Spain Composite AI Market by Vertical
        • 8.2.5.5.3 Spain Composite AI Market by Application
        • 8.2.5.5.4 Spain Composite AI Market by Offering
      • 8.2.5.6 Italy Composite AI Market
        • 8.2.5.6.1 Italy Composite AI Market by Technique
        • 8.2.5.6.2 Italy Composite AI Market by Vertical
        • 8.2.5.6.3 Italy Composite AI Market by Application
        • 8.2.5.6.4 Italy Composite AI Market by Offering
      • 8.2.5.7 Rest of Europe Composite AI Market
        • 8.2.5.7.1 Rest of Europe Composite AI Market by Technique
        • 8.2.5.7.2 Rest of Europe Composite AI Market by Vertical
        • 8.2.5.7.3 Rest of Europe Composite AI Market by Application
        • 8.2.5.7.4 Rest of Europe Composite AI Market by Offering
  • 8.3 Asia Pacific Composite AI Market
    • 8.3.1 Asia Pacific Composite AI Market by Technique
      • 8.3.1.1 Asia Pacific Data Processing Market by Country
      • 8.3.1.2 Asia Pacific Data Mining & Machine Learning Market by Country
      • 8.3.1.3 Asia Pacific Conditioned Monitoring Market by Country
      • 8.3.1.4 Asia Pacific Pattern Recognition Market by Country
      • 8.3.1.5 Asia Pacific Proactive Mechanism & Others Market by Country
    • 8.3.2 Asia Pacific Composite AI Market by Vertical
      • 8.3.2.1 Asia Pacific BFSI Market by Country
      • 8.3.2.2 Asia Pacific Telecommunications Market by Country
      • 8.3.2.3 Asia Pacific Retail & eCommerce Market by Country
      • 8.3.2.4 Asia Pacific Healthcare & Lifesciences Market by Country
      • 8.3.2.5 Asia Pacific Media & Entertainment Market by Country
      • 8.3.2.6 Asia Pacific Energy & Power Market by Country
      • 8.3.2.7 Asia Pacific Transportation & Logistics Market by Country
      • 8.3.2.8 Asia Pacific Government & Defense Market by Country
      • 8.3.2.9 Asia Pacific Manufacturing Market by Country
      • 8.3.2.10 Asia Pacific Others Market by Country
    • 8.3.3 Asia Pacific Composite AI Market by Application
      • 8.3.3.1 Asia Pacific Product Design & Development Market by Country
      • 8.3.3.2 Asia Pacific Quality Control Market by Country
      • 8.3.3.3 Asia Pacific Predictive Maintenance Market by Country
      • 8.3.3.4 Asia Pacific Security & Surveillance Market by Country
      • 8.3.3.5 Asia Pacific Customer Service & Others Market by Country
    • 8.3.4 Asia Pacific Composite AI Market by Offering
      • 8.3.4.1 Asia Pacific Hardware Market by Country
      • 8.3.4.2 Asia Pacific Composite AI Market by Hardware Type
        • 8.3.4.2.1 Asia Pacific Processors Market by Country
        • 8.3.4.2.2 Asia Pacific Memory Units Market by Country
        • 8.3.4.2.3 Asia Pacific Networks Market by Country
        • 8.3.4.2.4 Asia Pacific Others Market by Country
      • 8.3.4.3 Asia Pacific Software Market by Country
      • 8.3.4.4 Asia Pacific Composite AI Market by Software Type
        • 8.3.4.4.1 Asia Pacific AI Development Platforms & Tools Market by Country
        • 8.3.4.4.2 Asia Pacific ML Framework Market by Country
        • 8.3.4.4.3 Asia Pacific AI Middleware & Others Market by Country
      • 8.3.4.5 Asia Pacific Services Market by Country
    • 8.3.5 Asia Pacific Composite AI Market by Country
      • 8.3.5.1 China Composite AI Market
        • 8.3.5.1.1 China Composite AI Market by Technique
        • 8.3.5.1.2 China Composite AI Market by Vertical
        • 8.3.5.1.3 China Composite AI Market by Application
        • 8.3.5.1.4 China Composite AI Market by Offering
      • 8.3.5.2 Japan Composite AI Market
        • 8.3.5.2.1 Japan Composite AI Market by Technique
        • 8.3.5.2.2 Japan Composite AI Market by Vertical
        • 8.3.5.2.3 Japan Composite AI Market by Application
        • 8.3.5.2.4 Japan Composite AI Market by Offering
      • 8.3.5.3 India Composite AI Market
        • 8.3.5.3.1 India Composite AI Market by Technique
        • 8.3.5.3.2 India Composite AI Market by Vertical
        • 8.3.5.3.3 India Composite AI Market by Application
        • 8.3.5.3.4 India Composite AI Market by Offering
      • 8.3.5.4 South Korea Composite AI Market
        • 8.3.5.4.1 South Korea Composite AI Market by Technique
        • 8.3.5.4.2 South Korea Composite AI Market by Vertical
        • 8.3.5.4.3 South Korea Composite AI Market by Application
        • 8.3.5.4.4 South Korea Composite AI Market by Offering
      • 8.3.5.5 Singapore Composite AI Market
        • 8.3.5.5.1 Singapore Composite AI Market by Technique
        • 8.3.5.5.2 Singapore Composite AI Market by Vertical
        • 8.3.5.5.3 Singapore Composite AI Market by Application
        • 8.3.5.5.4 Singapore Composite AI Market by Offering
      • 8.3.5.6 Malaysia Composite AI Market
        • 8.3.5.6.1 Malaysia Composite AI Market by Technique
        • 8.3.5.6.2 Malaysia Composite AI Market by Vertical
        • 8.3.5.6.3 Malaysia Composite AI Market by Application
        • 8.3.5.6.4 Malaysia Composite AI Market by Offering
      • 8.3.5.7 Rest of Asia Pacific Composite AI Market
        • 8.3.5.7.1 Rest of Asia Pacific Composite AI Market by Technique
        • 8.3.5.7.2 Rest of Asia Pacific Composite AI Market by Vertical
        • 8.3.5.7.3 Rest of Asia Pacific Composite AI Market by Application
        • 8.3.5.7.4 Rest of Asia Pacific Composite AI Market by Offering
  • 8.4 LAMEA Composite AI Market
    • 8.4.1 LAMEA Composite AI Market by Technique
      • 8.4.1.1 LAMEA Data Processing Market by Country
      • 8.4.1.2 LAMEA Data Mining & Machine Learning Market by Country
      • 8.4.1.3 LAMEA Conditioned Monitoring Market by Country
      • 8.4.1.4 LAMEA Pattern Recognition Market by Country
      • 8.4.1.5 LAMEA Proactive Mechanism & Others Market by Country
    • 8.4.2 LAMEA Composite AI Market by Vertical
      • 8.4.2.1 LAMEA BFSI Market by Country
      • 8.4.2.2 LAMEA Telecommunications Market by Country
      • 8.4.2.3 LAMEA Retail & eCommerce Market by Country
      • 8.4.2.4 LAMEA Healthcare & Lifesciences Market by Country
      • 8.4.2.5 LAMEA Media & Entertainment Market by Country
      • 8.4.2.6 LAMEA Energy & Power Market by Country
      • 8.4.2.7 LAMEA Transportation & Logistics Market by Country
      • 8.4.2.8 LAMEA Government & Defense Market by Country
      • 8.4.2.9 LAMEA Manufacturing Market by Country
      • 8.4.2.10 LAMEA Others Market by Country
    • 8.4.3 LAMEA Composite AI Market by Application
      • 8.4.3.1 LAMEA Product Design & Development Market by Country
      • 8.4.3.2 LAMEA Quality Control Market by Country
      • 8.4.3.3 LAMEA Predictive Maintenance Market by Country
      • 8.4.3.4 LAMEA Security & Surveillance Market by Country
      • 8.4.3.5 LAMEA Customer Service & Others Market by Country
    • 8.4.4 LAMEA Composite AI Market by Offering
      • 8.4.4.1 LAMEA Hardware Market by Country
      • 8.4.4.2 LAMEA Composite AI Market by Hardware Type
        • 8.4.4.2.1 LAMEA Processors Market by Country
        • 8.4.4.2.2 LAMEA Memory Units Market by Country
        • 8.4.4.2.3 LAMEA Networks Market by Country
        • 8.4.4.2.4 LAMEA Others Market by Country
      • 8.4.4.3 LAMEA Software Market by Country
      • 8.4.4.4 LAMEA Composite AI Market by Software Type
        • 8.4.4.4.1 LAMEA AI Development Platforms & Tools Market by Country
        • 8.4.4.4.2 LAMEA ML Framework Market by Country
        • 8.4.4.4.3 LAMEA AI Middleware & Others Market by Country
      • 8.4.4.5 LAMEA Services Market by Country
    • 8.4.5 LAMEA Composite AI Market by Country
      • 8.4.5.1 Brazil Composite AI Market
        • 8.4.5.1.1 Brazil Composite AI Market by Technique
        • 8.4.5.1.2 Brazil Composite AI Market by Vertical
        • 8.4.5.1.3 Brazil Composite AI Market by Application
        • 8.4.5.1.4 Brazil Composite AI Market by Offering
      • 8.4.5.2 Argentina Composite AI Market
        • 8.4.5.2.1 Argentina Composite AI Market by Technique
        • 8.4.5.2.2 Argentina Composite AI Market by Vertical
        • 8.4.5.2.3 Argentina Composite AI Market by Application
        • 8.4.5.2.4 Argentina Composite AI Market by Offering
      • 8.4.5.3 UAE Composite AI Market
        • 8.4.5.3.1 UAE Composite AI Market by Technique
        • 8.4.5.3.2 UAE Composite AI Market by Vertical
        • 8.4.5.3.3 UAE Composite AI Market by Application
        • 8.4.5.3.4 UAE Composite AI Market by Offering
      • 8.4.5.4 Saudi Arabia Composite AI Market
        • 8.4.5.4.1 Saudi Arabia Composite AI Market by Technique
        • 8.4.5.4.2 Saudi Arabia Composite AI Market by Vertical
        • 8.4.5.4.3 Saudi Arabia Composite AI Market by Application
        • 8.4.5.4.4 Saudi Arabia Composite AI Market by Offering
      • 8.4.5.5 South Africa Composite AI Market
        • 8.4.5.5.1 South Africa Composite AI Market by Technique
        • 8.4.5.5.2 South Africa Composite AI Market by Vertical
        • 8.4.5.5.3 South Africa Composite AI Market by Application
        • 8.4.5.5.4 South Africa Composite AI Market by Offering
      • 8.4.5.6 Nigeria Composite AI Market
        • 8.4.5.6.1 Nigeria Composite AI Market by Technique
        • 8.4.5.6.2 Nigeria Composite AI Market by Vertical
        • 8.4.5.6.3 Nigeria Composite AI Market by Application
        • 8.4.5.6.4 Nigeria Composite AI Market by Offering
      • 8.4.5.7 Rest of LAMEA Composite AI Market
        • 8.4.5.7.1 Rest of LAMEA Composite AI Market by Technique
        • 8.4.5.7.2 Rest of LAMEA Composite AI Market by Vertical
        • 8.4.5.7.3 Rest of LAMEA Composite AI Market by Application
        • 8.4.5.7.4 Rest of LAMEA Composite AI Market by Offering

Chapter 9. Company Profiles

  • 9.1 IBM Corporation
    • 9.1.1 Company Overview
    • 9.1.2 Financial Analysis
    • 9.1.3 Regional & Segmental Analysis
    • 9.1.4 Research & Development Expenses
    • 9.1.5 Recent strategies and developments:
      • 9.1.5.1 Partnerships, Collaborations, and Agreements:
      • 9.1.5.2 Product Launches and Product Expansions:
    • 9.1.6 SWOT Analysis
  • 9.2 SAS Institute, Inc.
    • 9.2.1 Company Overview
    • 9.2.2 Recent strategies and developments:
      • 9.2.2.1 Partnerships, Collaborations, and Agreements:
  • 9.3 Google LLC (Alphabet Inc.)
    • 9.3.1 Company Overview
    • 9.3.2 Financial Analysis
    • 9.3.3 Segmental and Regional Analysis
    • 9.3.4 Research & Development Expense
    • 9.3.5 Recent strategies and developments:
      • 9.3.5.1 Partnerships, Collaborations, and Agreements:
      • 9.3.5.2 Product Launches and Product Expansions:
    • 9.3.6 SWOT Analysis
  • 9.4 Intel Corporation
    • 9.4.1 Company Overview
    • 9.4.2 Financial Analysis
    • 9.4.3 Segmental and Regional Analysis
    • 9.4.4 Research & Development Expenses
    • 9.4.5 Recent strategies and developments:
      • 9.4.5.1 Product Launches and Product Expansions:
    • 9.4.6 SWOT Analysis
  • 9.5 Salesforce, Inc.
    • 9.5.1 Company Overview
    • 9.5.2 Financial Analysis
    • 9.5.3 Regional Analysis
    • 9.5.4 Research & Development Expense
    • 9.5.5 Recent strategies and developments:
      • 9.5.5.1 Partnerships, Collaborations, and Agreements:
      • 9.5.5.2 Product Launches and Product Expansions:
    • 9.5.6 SWOT Analysis
  • 9.6 Microsoft Corporation
    • 9.6.1 Company Overview
    • 9.6.2 Financial Analysis
    • 9.6.3 Segmental and Regional Analysis
    • 9.6.4 Research & Development Expenses
    • 9.6.5 Recent strategies and developments:
      • 9.6.5.1 Partnerships, Collaborations, and Agreements:
    • 9.6.6 SWOT Analysis
  • 9.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 9.7.1 Company Overview
    • 9.7.2 Financial Analysis
    • 9.7.3 Segmental Analysis
    • 9.7.4 Recent strategies and developments:
      • 9.7.4.1 Partnerships, Collaborations, and Agreements:
      • 9.7.4.2 Product Launches and Product Expansions:
    • 9.7.5 SWOT Analysis
  • 9.8 SAP SE
    • 9.8.1 Company Overview
    • 9.8.2 Financial Analysis
    • 9.8.3 Segmental and Regional Analysis
    • 9.8.4 Research & Development Expense
    • 9.8.5 Recent strategies and developments:
      • 9.8.5.1 Partnerships, Collaborations, and Agreements:
      • 9.8.5.2 Product Launches and Product Expansions:
    • 9.8.6 SWOT Analysis
  • 9.9 NVIDIA Corporation
    • 9.9.1 Company Overview
    • 9.9.2 Financial Analysis
    • 9.9.3 Segmental and Regional Analysis
    • 9.9.4 Research & Development Expenses
    • 9.9.5 Recent strategies and developments:
      • 9.9.5.1 Partnerships, Collaborations, and Agreements:
      • 9.9.5.2 Product Launches and Product Expansions:
    • 9.9.6 SWOT Analysis
  • 9.10. Squirro AG
    • 9.10.1 Company Overview
    • 9.10.2 Recent strategies and developments:
      • 9.10.2.1 Partnerships, Collaborations, and Agreements:
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