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세계의 AI 스튜디오 시장 규모, 점유율, 업계 분석 리포트 : 조직 규모별, 제공별, 배포 모델별, 배포 유형별, 최종사용자 부문별, 지역별 전망 및 예측(2025-2032년)

Global AI Studio Market Size, Share & Industry Analysis Report By Organization Size, By Offering, By Deployment Model, By Deployment Type, By End-User Sector, By Regional Outlook and Forecast, 2025 - 2032
발행일: | 리서치사: KBV Research | 페이지 정보: 영문 571 Pages | 배송안내 : 즉시배송

    
    
    



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

세계의 AI 스튜디오 시장 규모는 예측 기간 중 38.2%의 CAGR로 시장 성장하며, 2032년까지 865억 3,000만 달러에 달할 것으로 예상되고 있습니다.

주요 하이라이트:

  • 2024년에는 북미 시장이 전 세계 AI 스튜디오 시장을 장악하고 2024년에는 34.00%의 매출 점유율을 차지했습니다.
  • 미국 시장은 2032년까지 시장 규모가 183억 6,000만 달러에 달할 것으로 예상되며, 북미 시장에서의 리더십을 유지할 것으로 예측됩니다.
  • 조직 규모별로는 대기업 부문이 2024년 67.70%의 매출 점유율을 차지하며 세계 시장을 독점했습니다.
  • 제공으로는 모델 개발 부문이 2032년까지 22.50%의 매출 점유율을 차지하며 세계 시장을 주도할 것으로 예측됩니다.
  • SaaS(Software as a Service) 시장은 2024년 주요 개발 모델로 부상하여 59.66%의 매출 점유율을 획득하며, 예측 기간 중에도 우위성을 유지할 것으로 예측됩니다.
  • 배포형 클라우드 시장은 2032년 459억 3,000만 달러 규모로 성장할 것으로 예상되며, 예측 기간 중 그 우위를 유지할 것으로 전망됩니다.
  • 최종사용자 부문별로는 IT 및 통신 부문이 2024년 16억 6,000만 달러의 시장 규모를 획득하며, 예측 기간 중 이 부문은 그 위치를 유지할 것으로 예측됩니다.

최근 AI 스튜디오 시장은 기업에서 AI의 컨트롤 플레인 역할을 하는 통합 공간으로 발전하고 있습니다. 규제 압력과 생성형 AI의 성장으로 인해 AI 스튜디오의 용도가 확대되어 가드레일, 평가 툴, 프롬프트 디자인, 검색 확장, 비용 최적화 등의 기능을 사용할 수 있게 되었습니다. 이러한 기능은 처음에는 기존 머신러닝의 실험 추적 및 모니터링에 국한되어 있었습니다. 현재 많은 스튜디오는 모델 라우팅, 레드팀 연습, 계통 추적, 유연한 도입 옵션, 에이전트 오케스트레이션 등 공통된 구성 요소로 통합되어 있습니다. 또한 구체적인 컴플라이언스 요구사항에 대한 규제 개혁으로 인해 다양한 기능의 팀이 AI 용도를 안전하게 도입, 구축, 모니터링 및 평가할 수 있는 주목할 만한 제품 아키텍처가 등장하고 있습니다.

AI 스튜디오 시장은 멀티모달 및 에이전트형 워크플로우, 비용 관리를 고려한 이기종 혼합 환경 모델 도입, 기업급 거버넌스, 안전성을 고려한 설계 등의 요소에 힘입어 크게 성장하고 있습니다. 주요 업체들은 개방형 생태계를 구축하고, 기본값과 템플릿을 이용한 도입 간소화를 통해 시장에서의 입지를 강화하고 있습니다. 기업은 주로 견고한 수익성과 감사 가능성을 추구하고 있으며, 시장 경쟁은 다양한 인프라에서 투명성, 보안 및 비용 효율적인 AI 운영을 제공하는 능력으로 옮겨가고 있습니다.

KBV Cardinal matrix - 인공지능 스튜디오 시장 경쟁 분석

KBV Cardinal matrix에 제시된 분석에 기반하면 Microsoft Corporation와 Google LLC가 AI 스튜디오 시장의 선구자입니다. 2024년 9월, Microsoft Corporation은 Azure AI Inference SDK for .NET을 발표하여 Azure AI Studio 모델 카탈로그에서 생성된 AI 모델에 대한 액세스를 간소화했습니다. 이 SDK는 Azure OpenAI Service, Mistral, Meta, Meta, Cohere, NVIDIA, Hugging Face 등공급자가 제공하는 AI 모델의 도입을 간소화하여 AI 애플리케이션 개발을 촉진합니다. Meta Platforms, Inc., Amazon Web Services, Inc., HP, Inc. 등의 기업은 AI 스튜디오 시장의 주요 혁신 기업입니다.

COVID-19의 영향 분석

COVID-19 팬데믹 기간 중 세계 AI 스튜디오 시장은 문제와 기회에 직면했습니다. 기존의 AI 프로젝트는 공급망 문제, 예산 제약, 대면 협업의 부족으로 인해 정체되어 있었습니다. 기업 역시 실험적인 프로젝트보다 비즈니스 연속성을 우선시했습니다. 한편, 디지털 퍼스트 솔루션에 대한 수요가 증가함에 따라 클라우드 기반 AI 스튜디오의 사용이 확대되고 있으며, 팀들이 서로 다른 위치에서 모델을 작업할 수 있게 되었습니다. 정부와 공중보건기관은 AI를 활용해 팬데믹에 대응할 수 있다는 것을 확인했습니다. 벤더는 의료, 물류, 공공 부문의 비전문가에게 힘을 실어주기 위해 로우코드 및 노코드 워크플로우를 강조했습니다. 더 많은 사람들이 온라인에서 교류하면서 방대한 데이터세트가 생성되고, AI 도입이 가속화되었습니다. 통합된 협업, 거버넌스, 컴플라이언스 기능을 제공하는 스튜디오의 중요성이 높아졌습니다. 궁극적으로, 팬데믹은 대규모 디지털 전환을 지원하는 클라우드 네이티브, 접근이 용이하고 안전한 AI 개발 환경으로의 전환을 가속화했습니다. 이처럼 COVID-19는 시장에 부정적인 영향을 미쳤습니다.

시장 점유율 분석

조직 규모 전망

조직 규모에 따라 시장은 대기업과 중소기업(SME)으로 분류됩니다. 중소기업(SME) 부문은 2024년 시장 매출 점유율 32.3%를 차지할 것으로 예측됩니다. 중소기업은 생산성 향상과 업무 효율화를 위한 비용 효율적인 툴로 AI 스튜디오를 도입하고 있습니다. 디지털화가 진전되고 AI의 이점에 대한 인식이 높아짐에 따라 이들 기업은 AI 스튜디오를 활용하여 자동화, 분석 및 서비스 제공을 개선하고 있습니다. 한정된 리소스 속에서 중소기업은 자사의 니즈에 맞는 유연하고 확장성이 높은 AI 솔루션을 선택해야 할 필요성에 직면해 있습니다.

제공 전망

제공에 따라 시장은 모델 개발, 데이터 준비, 모델 배포, 협업 툴, 모델 모니터링으로 분류됩니다. 데이터 준비 부문은 2024년 시장 매출 점유율 22.3%를 보일 것으로 예측됩니다. 데이터 준비는 대규모 데이터세트를 청소, 정리, 구조화하여 정확성과 일관성을 보장하는 것을 포함합니다. 기업은 AI 모델의 신뢰성을 높이기 위해 준비 툴에 많은 투자를 하고 있습니다. 적절한 데이터 준비는 오류를 최소화하고 예측 성능을 강화하며 더 나은 의사결정을 지원합니다. 이는 AI 프로젝트의 성공을 지원하는 기반이 됩니다.

전개 유형 전망

배포 유형에 따라 시장은 클라우드와 On-Premise로 분류됩니다. On-Premise 부문은 2024년 시장 매출 점유율 47.7%를 차지할 것으로 예측됩니다. 많은 조직은 데이터 보안, 컴플라이언스, 시스템 커스터마이징을 보다 유연하게 제어할 수 있으므로 이 모델을 선호합니다. On-Premise 도입은 기밀 정보를 다루는 산업이나 엄격한 규제 준수가 요구되는 산업에서 특히 선호되고 있습니다. On-Premise 도입을 통해 기업은 사내에서 인프라를 관리할 수 있으며, 데이터 프라이버시와 맞춤형 통합을 보장할 수 있습니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, LAMEA로 시장을 분석했습니다. 북미 부문은 2024년 시장에서 34%의 매출 점유율을 기록할 것으로 예측됩니다. AI 스튜디오 시장은 북미와 유럽에서 큰 폭의 성장이 예상됩니다. 이는 성숙한 기업 AI의 채택, 강력한 클라우드 인프라, 엄격한 규제 프레임워크, 강력한 클라우드 인프라를 기반으로 하고 있습니다. 독립 플랫폼 벤더와 하이퍼스케일 클라우드 프로바이더들은 컴플라이언스 대응 기능, 오케스트레이션, 주요 기업 및 정부 기관의 조달 기준을 충족하는 고급 모델 카탈로그를 제공함으로써 시장을 선도하고 있습니다. 또한 유럽에서도 AI 스튜디오 시장의 성장을 볼 수 있습니다. 이는 이 지역이 거버넌스와 주권에 중점을 두고 있으며, 스튜디오가 EU AI 법, GDPR(EU 개인정보보호규정) 및 부문별 규제 요건을 충족하기 위해 서비스를 개인화하고 있기 때문입니다. 북미와 유럽 모두에서 기업이 스케일 포트폴리오로 전환하고 있으며, 신뢰성과 비용 최적화, 투명성이 높은 솔루션에 대한 수요가 증가하고 있습니다.

아시아태평양 및 LAMEA 지역도 AI 스튜디오 시장에서 큰 점유율을 차지했습니다.이러한 확대는 기업, 스타트업, 정부 기관이 도입과 실험의 간극을 메우기 위해 AI 스튜디오를 도입하고 있는 데 따른 것입니다. 아시아태평양에서는 인도, 일본, 한국 등의 국가들이 생성형 AI에 대한 투자로 성장세를 보이고 있으며, 이들 국가의 스튜디오는 다양한 시장에 대응하기 위해 다국어 모델 및 로컬 데이터 레지던시와 함께 번들로 제공되는 경우가 많습니다. 또한 LAMEA의 AI 스튜디오 시장도 괄목할 만한 성장세를 보이고 있습니다. AI 스튜디오는 특히 통신, 공공 서비스, 은행 등의 업계에서 주목받고 있으며, AI 스튜디오는 사전 개발된 템플릿으로 문턱을 낮추고 있습니다. 또한 이 지역 정부는 AI의 책임감 있는 사용에 초점을 맞추고 있으며, 스튜디오에 지역 제한적 도입과 유연한 가격 모델을 제공하도록 장려하고 있습니다.

시장 경쟁과 특성

현재 AI 스튜디오 시장은 기술 혁신의 속도가 빠르고 많은 기업이 진출해 치열한 경쟁을 벌이고 있습니다. 주요 기업은 독자적인 기능, 사용하기 쉬운 인터페이스, 산업 특화형 툴을 제공함으로써 타사와의 차별화를 꾀하고 있습니다. 이러한 경쟁 구도 속에서 기능 향상과 고객 도달 범위 확대를 위해 막대한 자금과 전략적 파트너십이 투입되고 있습니다. 따라서 소비자에게는 다양한 선택권이 제공되고, AI 업계는 새로운 아이디어와 개선책을 속속 내놓고 있습니다.

목차

제1장 시장 범위와 조사 방법

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

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 시장 동향 - 세계의 AI 스튜디오 시장

제5장 경쟁 상황 - 세계의 AI 스튜디오 시장

제6장 AI 스튜디오 시장의 밸류체인 분석

제7장 PLC(제품수명주기)- AI 스튜디오 시장 t

제8장 시장 통합 - AI 스튜디오 시장

제9장 주요 고객 기준 - AI 스튜디오 시장

제10장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석 2024
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter's Five Forces 분석

제11장 세계의 AI 스튜디오 시장 : 조직 규모별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제12장 세계의 AI 스튜디오 시장 : 제공별

  • 세계의 모델 개발 시장 : 지역별
  • 세계의 데이터 준비 시장 : 지역별
  • 세계의 모델 배포 시장 : 지역별
  • 세계의 협업 툴 시장 : 지역별
  • 세계의 모델 모니터링 시장 : 지역별

제13장 세계의 AI 스튜디오 시장 : 배포 모델별

  • 세계의 SaaS(Software as a Service) 시장 : 지역별
  • 세계의 PaaS(Platform as a Service) 시장 : 지역별

제14장 세계의 AI 스튜디오 시장 : 배포 유형별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제15장 세계의 AI 스튜디오 시장 : 최종사용자 부문별

  • 세계의 IT·통신 시장 : 지역별
  • 세계의 BFSI 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 소매 시장 : 지역별
  • 세계의 제조 시장 : 지역별
  • 세계의 기타 최종사용자 부문 시장 : 지역별

제16장 세계의 AI 스튜디오 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 주요 요인
    • 북미의 AI 스튜디오 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
  • 시장에 영향을 미치는 주요 요인
    • 유럽의 AI 스튜디오 시장 : 국가별
      • 영국
      • 독일
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
  • 시장에 영향을 미치는 주요 요인
    • 아시아태평양의 AI 스튜디오 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
  • 시장에 영향을 미치는 주요 요인
    • 라틴아메리카·중동 및 아프리카의 AI 스튜디오 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제17장 기업 개요

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • Vonage Holdings Corp(Ericsson AB)
  • Sprinklr, Inc
  • Meta Platforms, Inc
  • ALTAIR ENGINEERING INC
  • C3ai, Inc.
  • HP, Inc

제18장 AI 스튜디오 시장의 성공 필수 조건

KSA 25.10.24

The Global AI Studio Market size is expected to reach $86.53 billion by 2032, rising at a market growth of 38.2% CAGR during the forecast period.

Key Highlights:

  • The North America market dominated Global AI Studio Market in 2024, accounting for a 34.00% revenue share in 2024.
  • The U.S. market is projected to maintain its leadership in North America, reaching a market size of USD 18.36 billion by 2032.
  • Among the Organization Size, the Large Enterprise segment dominated the global market, contributing a revenue share of 67.70% in 2024.
  • In terms of Offering, Model Development segment are expected to lead the global market, with a projected revenue share of 22.50% by 2032.
  • The SaaS (Software as a Service) market emerged as the leading Deployment Model in 2024, capturing a 59.66% revenue share, and is projected to retain its dominance during the forecast period.
  • The Cloud Market in Deployment Type is poised to grow at the market in 2032 with a market size of USD 45.93 billion and is projected to maintain its dominant position throughout the forecast period.
  • By End-User Sector the IT & Telecom Segment captured the market size of USD 1.66 billion in 2024 and this segment will maintain its position during the forecast period.

Recently, the AI studio market has developed as an integrated space that works as an enterprise control planes for AI. The application of AI studios has expanded due to regulatory pressure and the growth of generative AI to include features such as guardrails, evaluators, prompt designs, retrieval-augmented, and cost-optimization, which were initially limited to experiment tracking and monitoring for classical machine learning. Nowadays, most of the studios converged on common building blocks-model routing, red-teaming, lineage tracking, flexible deployment options, and orchestration for agents. Also, regulatory transformation towards concrete compliance needs, has resulted in a noticeable product archetype that allows teams across functions to securely deploy, build, monitor, and evaluate AI applications.

The AI studio market is majorly expanded, supported by elements such as multimodal and agentic workflows, heterogenous model deployment with cost control, enterprise-grade governance, and safety-by-design. Key market players are building open ecosystems, thereby simplifying deployment with defaults and templates in order to gain market position. The corporations are largely demanding robust profitability and auditability; the competition in the market has shifted to the ability to deliver transparent, secure, and cost-efficient AI operations across diversified infrastructure.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, Amazon Web Services, Inc. unveiled an Innovation Hub in Singapore to accelerate cloud and AI innovation across Asia-Pacific. The facility showcases over 50 real-world AI applications, developed with 30+ partners, offering a collaborative space for prototyping, testing, and scaling AI solutions. It aims to drive digital transformation and AI adoption regionally. Moreover, In June, 2025, IBM Corporation unveiled Watsonx AI Labs in New York City, designed as an accelerator for AI builders, startups, and enterprises. The lab offers cutting-edge tools, expertise, and potential investments to speed up AI development and innovation. This strengthens IBM's ecosystem, encouraging collaboration and rapid adoption of advanced AI solutions.

KBV Cardinal Matrix - AI Studio Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI Studio Market. In September, 2024, Microsoft Corporation unveiled the Azure AI Inference SDK for .NET, streamlining access to generative AI models in the Azure AI Studio model catalog. This SDK simplifies the deployment of AI models from providers like Azure OpenAI Service, Mistral, Meta, Cohere, NVIDIA, and Hugging Face, facilitating the development of AI applications. Companies such as Meta Platforms, Inc., Amazon Web Services, Inc., and HP, Inc. are some of the key innovators in AI Studio Market.

COVID 19 Impact Analysis

The Global AI Studio market had both problems and opportunities during the COVID-19 pandemic. Traditional AI projects were slowed down by problems with the supply chain, budget constraints, and a lack of in-person collaboration. Businesses also put business continuity ahead of experimental projects. On the other hand, the rise in demand for digital-first solutions led to the use of cloud-based AI studios, which let teams work on models from different locations. Governments and public health organizations confirmed that AI could be used to respond to pandemics. Vendors stressed low-code and no-code workflows to give non-experts in healthcare, logistics, and the public sector more power. As more people interacted with each other online, huge datasets were created, which sped up the adoption of AI. Studios that offered integrated collaboration, governance, and compliance features became more important. In the end, the pandemic sped up the move toward cloud-native, accessible, and secure AI development environments that support large-scale digital transformation. Thus, the COVID-19 had a negative impact on the market.

Market Share Analysis

Organization Size Outlook

Based on Organization Size, the market is segmented into Large Enterprise, and Small & Medium Enterprise (SME). The Small & Medium Enterprise (SME) segment procured 32.3% revenue share in the market in 2024. SMEs are increasingly adopting AI studios as cost-effective tools to boost productivity and manage operations more efficiently. With rising digitalization and growing awareness of AI benefits, these businesses use AI studios for automation, analytics, and improved service delivery. Limited resources push SMEs to choose flexible and scalable AI solutions tailored to their needs.

Offering Outlook

Based on Offering, the market is segmented into Model Development, Data Preparation, Model Deployment, Collaboration Tools, and Model Monitoring. The Data Preparation segment recorded 22.3% revenue share in the market in 2024. Preparing data involves cleaning, organizing, and structuring large datasets to ensure accuracy and consistency. Businesses invest heavily in preparation tools to enhance the reliability of AI models. Proper data preparation minimizes errors, strengthens predictive performance, and supports better decision-making. It serves as the backbone of successful AI projects.

Deployment Type Outlook

Based on Deployment Type, the market is segmented into Cloud, and On-premises. The On-premises segment acquired 47.7% revenue share in the market in 2024. Many organizations prefer this model due to greater control over data security, compliance, and system customization. On-premises deployment is particularly favored by industries handling sensitive information or requiring strict regulatory adherence. It allows companies to manage their infrastructure internally, ensuring data privacy and tailored integration.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 34% revenue share in the market in 2024. The AI Studio Market is predicted to experience significant growth in North America and Europe. This is due to the mature enterprise AI adoption, strong cloud infrastructure, strict regulatory frameworks, and strong cloud infrastructure. Independent platform vendors and hyperscale cloud providers are leading the market by offering compliance-ready features, orchestration, and advanced model catalogs to fulfill procurement standards of key players and government agencies. Furthermore, Europe is also experiencing growth in the AI studio market. This is because of the region's focus on governance and sovereignty, with studios personalizing the offerings to cater with the EU AI Act, and GDPR, along with sector-specific regulatory requirements. Both North America and Europe are experiencing an enterprise shift towards scaled portfolios, thereby raising demand for reliable, cost-optimized, and transparent solutions.

The Asia Pacific and LAMEA region are also anticipated to capture a significant share in the AI studio market. This expansion is driven by the adoption of AI studios within enterprises, startups, and governments in order to fill the gap between deployment and experimentation. The Asia Pacific region is witnessing growth because of the investments in generative AI by nations such as India, Japan, and South Korea, where studios are largely bundled with multilingual models, local data residency to support a diverse market. Additionally, the LAMEA AI studio market is also growing at a significant rate. The AI studios are gaining traction, particularly in industries such as telecom, public services, and banking, where AI studios reduce hurdles with pre-developed templates. Also, governments in the region are focusing on the responsible use of AI, encouraging studios to offer region-pinned deployments and flexible pricing models.

Market Competition and Attributes

There is a lot of competition in the AI studio market right now because technology is changing quickly, and more companies are entering the market. Key players are trying to stand out by offering unique features, easy-to-use interfaces, and industry-specific tools. A lot of money and strategic partnerships are going into this competitive landscape to improve capabilities and reach more customers. Because of this, consumers have a wide range of choices, which encourages the sector to keep coming up with new ideas and ways to improve.

Recent Strategies Deployed in the Market

  • Aug-2025: Meta Platforms, Inc. teamed up with Midjourney to integrate its AI image and video generation technology into Meta's products. This collaboration aims to enhance Meta's AI models, competing with industry leaders like OpenAI's Sora and Google's Veo. The partnership signifies Meta's commitment to advancing AI capabilities.
  • Aug-2025: Meta Platforms, Inc. announced the acquisition of WaveForms, an AI audio startup specializing in realistic speech synthesis. The acquisition strengthens Meta's Superintelligence Labs and enhances its AI audio capabilities. WaveForms' technology focuses on emotional general intelligence and aims to improve human-like conversational interfaces.
  • Aug-2025: Meta Platforms, Inc. announced the acquisition of Play AI, a voice-cloning startup, and integrated its technology into Meta's AI initiatives. The acquisition enhances Meta's voice AI capabilities, particularly for virtual assistants and wearable devices. This move may affect Play AI's existing customers due to potential changes in product direction.
  • Jul-2025: Vonage Holdings Corp. teamed up with Amazon Web Services (AWS) to integrate Amazon Nova Sonic, an AI-driven voice agent, into its Voice API. This partnership enables businesses to deploy real-time, natural-sounding AI voice agents across various channels, enhancing customer engagement and operational efficiency.
  • Jun-2025: IBM Corporation announced the acquisition of Seek AI, a data analysis startup, and opened an AI accelerator in NYC, boosting its generative AI capabilities. This move enhances IBM's ability to provide advanced data-driven AI solutions to enterprises. The acquisition supports IBM's strategy of deepening its AI portfolio and addressing the growing demand for generative AI.
  • Apr-2025: Altair Engineering Inc. teamed up with Databricks to empower joint customers with next-generation capabilities for data unification, graph-powered intelligence, and enterprise-grade artificial intelligence (AI). This collaboration combines the strengths of both platforms, enabling seamless data analysis and AI development for enhanced decision-making and operational efficiency.

List of Key Companies Profiled

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Vonage Holdings Corp. (Ericsson AB)
  • Sprinklr, Inc.
  • Meta Platforms, Inc.
  • Altair Engineering Inc.
  • C3.ai, Inc.
  • HP, Inc.

Global AI Studio Market Report Segmentation

By Organization Size

  • Large Enterprise
  • Small & Medium Enterprise (SME)

By Offering

  • Model Development
  • Data Preparation
  • Model Deployment
  • Collaboration Tools
  • Model Monitoring

By Deployment Model

  • SaaS (Software as a Service)
  • PaaS (Platform as a Service)

By Deployment Type

  • Cloud
  • On-premises

By End-User Sector

  • IT & Telecom
  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • Other End-User Sector

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

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 AI Studio Market, by Organization Size
    • 1.4.2 Global AI Studio Market, by Offering
    • 1.4.3 Global AI Studio Market, by Deployment Model
    • 1.4.4 Global AI Studio Market, by Deployment Type
    • 1.4.5 Global AI Studio Market, by End-User Sector
    • 1.4.6 Global AI Studio Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - Global AI Studio Market

Chapter 5. State of Competition - Global AI Studio Market

Chapter 6. Value Chain Analysis of AI Studio Market

Chapter 7. PLC (Product Life Cycle) - AI Studio Market

Chapter 8. Market Consolidation - AI Studio Market

Chapter 9. Key Customer Criteria - AI Studio Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
    • 10.2.3 Acquisition and Mergers
  • 10.3 Market Share Analysis, 2024
  • 10.4 Top Winning Strategies
    • 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 10.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2021, Nov - 2025, Jun) Leading Players
  • 10.5 Porter Five Forces Analysis

Chapter 11. Global AI Studio Market by Organization Size

  • 11.1 Global Large Enterprise Market by Region
  • 11.2 Global Small & Medium Enterprise (SME) Market by Region

Chapter 12. Global AI Studio Market by Offering

  • 12.1 Global Model Development Market by Region
  • 12.2 Global Data Preparation Market by Region
  • 12.3 Global Model Deployment Market by Region
  • 12.4 Global Collaboration Tools Market by Region
  • 12.5 Global Model Monitoring Market by Region

Chapter 13. Global AI Studio Market by Deployment Model

  • 13.1 Global SaaS (Software as a Service) Market by Region
  • 13.2 Global PaaS (Platform as a Service) Market by Region

Chapter 14. Global AI Studio Market by Deployment Type

  • 14.1 Global Cloud Market by Region
  • 14.2 Global On-premises Market by Region

Chapter 15. Global AI Studio Market by End-User Sector

  • 15.1 Global IT & Telecom Market by Region
  • 15.2 Global BFSI Market by Region
  • 15.3 Global Healthcare Market by Region
  • 15.4 Global Retail Market by Region
  • 15.5 Global Manufacturing Market by Region
  • 15.6 Global Other End-User Sector Market by Region

Chapter 16. Global AI Studio Market by Region

  • 16.1 North America AI Studio Market
  • 16.2 Key Factors Impacting the Market
    • 16.2.1 Market Drivers
    • 16.2.2 Market Restraints
    • 16.2.3 Opportunity
    • 16.2.4 Market Challenges
    • 16.2.5 Market Trends - North America AI Studio Market
    • 16.2.6 State of Competition - North America Ai Studio Market
    • 16.2.7 North America AI Studio Market by Organization Size
      • 16.2.7.1 North America Large Enterprise Market by Region
      • 16.2.7.2 North America Small & Medium Enterprise (SME) Market by Region
    • 16.2.8 North America AI Studio Market by Offering
      • 16.2.8.1 North America Model Development Market by Country
      • 16.2.8.2 North America Data Preparation Market by Country
      • 16.2.8.3 North America Model Deployment Market by Country
      • 16.2.8.4 North America Collaboration Tools Market by Country
      • 16.2.8.5 North America Model Monitoring Market by Country
    • 16.2.9 North America AI Studio Market by Deployment Model
      • 16.2.9.1 North America SaaS (Software as a Service) Market by Country
      • 16.2.9.2 North America PaaS (Platform as a Service) Market by Country
    • 16.2.10 North America AI Studio Market by Deployment Type
      • 16.2.10.1 North America Cloud Market by Country
      • 16.2.10.2 North America On-premises Market by Country
    • 16.2.11 North America AI Studio Market by End-User Sector
      • 16.2.11.1 North America IT & Telecom Market by Country
      • 16.2.11.2 North America BFSI Market by Country
      • 16.2.11.3 North America Healthcare Market by Country
      • 16.2.11.4 North America Retail Market by Country
      • 16.2.11.5 North America Manufacturing Market by Country
      • 16.2.11.6 North America Other End-User Sector Market by Country
    • 16.2.12 North America AI Studio Market by Country
      • 16.2.12.1 US AI Studio Market
        • 16.2.12.1.1 US AI Studio Market by Organization Size
        • 16.2.12.1.2 US AI Studio Market by Offering
        • 16.2.12.1.3 US AI Studio Market by Deployment Model
        • 16.2.12.1.4 US AI Studio Market by Deployment Type
        • 16.2.12.1.5 US AI Studio Market by End-User Sector
      • 16.2.12.2 Canada AI Studio Market
        • 16.2.12.2.1 Canada AI Studio Market by Organization Size
        • 16.2.12.2.2 Canada AI Studio Market by Offering
        • 16.2.12.2.3 Canada AI Studio Market by Deployment Model
        • 16.2.12.2.4 Canada AI Studio Market by Deployment Type
        • 16.2.12.2.5 Canada AI Studio Market by End-User Sector
      • 16.2.12.3 Mexico AI Studio Market
        • 16.2.12.3.1 Mexico AI Studio Market by Organization Size
        • 16.2.12.3.2 Mexico AI Studio Market by Offering
        • 16.2.12.3.3 Mexico AI Studio Market by Deployment Model
        • 16.2.12.3.4 Mexico AI Studio Market by Deployment Type
        • 16.2.12.3.5 Mexico AI Studio Market by End-User Sector
      • 16.2.12.4 Rest of North America AI Studio Market
        • 16.2.12.4.1 Rest of North America AI Studio Market by Organization Size
        • 16.2.12.4.2 Rest of North America AI Studio Market by Offering
        • 16.2.12.4.3 Rest of North America AI Studio Market by Deployment Model
        • 16.2.12.4.4 Rest of North America AI Studio Market by Deployment Type
        • 16.2.12.4.5 Rest of North America AI Studio Market by End-User Sector
  • 16.3 Europe AI Studio Market
  • 16.4 Key Factors Impacting the Market
    • 16.4.1 Market Drivers
    • 16.4.2 Market Restraints
    • 16.4.3 Market Opportunity
    • 16.4.4 Market Challenges
    • 16.4.5 Market Trends - Europe Ai Studio Market
    • 16.4.6 State of Competition - Europe Ai Studio Market
    • 16.4.7 Europe AI Studio Market by Organization Size
      • 16.4.7.1 Europe Large Enterprise Market by Country
      • 16.4.7.2 Europe Small & Medium Enterprise (SME) Market by Country
    • 16.4.8 Europe AI Studio Market by Offering
      • 16.4.8.1 Europe Model Development Market by Country
      • 16.4.8.2 Europe Data Preparation Market by Country
      • 16.4.8.3 Europe Model Deployment Market by Country
      • 16.4.8.4 Europe Collaboration Tools Market by Country
      • 16.4.8.5 Europe Model Monitoring Market by Country
    • 16.4.9 Europe AI Studio Market by Deployment Model
      • 16.4.9.1 Europe SaaS (Software as a Service) Market by Country
      • 16.4.9.2 Europe PaaS (Platform as a Service) Market by Country
    • 16.4.10 Europe AI Studio Market by Deployment Type
      • 16.4.10.1 Europe Cloud Market by Country
      • 16.4.10.2 Europe On-premises Market by Country
    • 16.4.11 Europe AI Studio Market by End-User Sector
      • 16.4.11.1 Europe IT & Telecom Market by Country
      • 16.4.11.2 Europe BFSI Market by Country
      • 16.4.11.3 Europe Healthcare Market by Country
      • 16.4.11.4 Europe Retail Market by Country
      • 16.4.11.5 Europe Manufacturing Market by Country
      • 16.4.11.6 Europe Other End-User Sector Market by Country
    • 16.4.12 Europe AI Studio Market by Country
      • 16.4.12.1 UK AI Studio Market
        • 16.4.12.1.1 UK AI Studio Market by Organization Size
        • 16.4.12.1.2 UK AI Studio Market by Offering
        • 16.4.12.1.3 UK AI Studio Market by Deployment Model
        • 16.4.12.1.4 UK AI Studio Market by Deployment Type
        • 16.4.12.1.5 UK AI Studio Market by End-User Sector
      • 16.4.12.2 Germany AI Studio Market
        • 16.4.12.2.1 Germany AI Studio Market by Organization Size
        • 16.4.12.2.2 Germany AI Studio Market by Offering
        • 16.4.12.2.3 Germany AI Studio Market by Deployment Model
        • 16.4.12.2.4 Germany AI Studio Market by Deployment Type
        • 16.4.12.2.5 Germany AI Studio Market by End-User Sector
      • 16.4.12.3 France AI Studio Market
        • 16.4.12.3.1 France AI Studio Market by Organization Size
        • 16.4.12.3.2 France AI Studio Market by Offering
        • 16.4.12.3.3 France AI Studio Market by Deployment Model
        • 16.4.12.3.4 France AI Studio Market by Deployment Type
        • 16.4.12.3.5 France AI Studio Market by End-User Sector
      • 16.4.12.4 Russia AI Studio Market
        • 16.4.12.4.1 Russia AI Studio Market by Organization Size
        • 16.4.12.4.2 Russia AI Studio Market by Offering
        • 16.4.12.4.3 Russia AI Studio Market by Deployment Model
        • 16.4.12.4.4 Russia AI Studio Market by Deployment Type
        • 16.4.12.4.5 Russia AI Studio Market by End-User Sector
      • 16.4.12.5 Spain AI Studio Market
        • 16.4.12.5.1 Spain AI Studio Market by Organization Size
        • 16.4.12.5.2 Spain AI Studio Market by Offering
        • 16.4.12.5.3 Spain AI Studio Market by Deployment Model
        • 16.4.12.5.4 Spain AI Studio Market by Deployment Type
        • 16.4.12.5.5 Spain AI Studio Market by End-User Sector
      • 16.4.12.6 Italy AI Studio Market
        • 16.4.12.6.1 Italy AI Studio Market by Organization Size
        • 16.4.12.6.2 Italy AI Studio Market by Offering
        • 16.4.12.6.3 Italy AI Studio Market by Deployment Model
        • 16.4.12.6.4 Italy AI Studio Market by Deployment Type
        • 16.4.12.6.5 Italy AI Studio Market by End-User Sector
      • 16.4.12.7 Rest of Europe AI Studio Market
        • 16.4.12.7.1 Rest of Europe AI Studio Market by Organization Size
        • 16.4.12.7.2 Rest of Europe AI Studio Market by Offering
        • 16.4.12.7.3 Rest of Europe AI Studio Market by Deployment Model
        • 16.4.12.7.4 Rest of Europe AI Studio Market by Deployment Type
        • 16.4.12.7.5 Rest of Europe AI Studio Market by End-User Sector
  • 16.5 Asia Pacific AI Studio Market
  • 16.6 Key Factors Impacting the Market
    • 16.6.1 Market Drivers
    • 16.6.2 Market Restraints
    • 16.6.3 Market Opportunity
    • 16.6.4 Market Challenges
    • 16.6.5 Market Trends - Asia Pacific Ai Studio Market
    • 16.6.6 State of Competition - Asia Pacific Ai Studio Market
    • 16.6.7 Asia Pacific AI Studio Market by Organization Size
      • 16.6.7.1 Asia Pacific Large Enterprise Market by Country
      • 16.6.7.2 Asia Pacific Small & Medium Enterprise (SME) Market by Country
    • 16.6.8 Asia Pacific AI Studio Market by Offering
      • 16.6.8.1 Asia Pacific Model Development Market by Country
      • 16.6.8.2 Asia Pacific Data Preparation Market by Country
      • 16.6.8.3 Asia Pacific Model Deployment Market by Country
      • 16.6.8.4 Asia Pacific Collaboration Tools Market by Country
      • 16.6.8.5 Asia Pacific Model Monitoring Market by Country
    • 16.6.9 Asia Pacific AI Studio Market by Deployment Model
      • 16.6.9.1 Asia Pacific SaaS (Software as a Service) Market by Country
      • 16.6.9.2 Asia Pacific PaaS (Platform as a Service) Market by Country
    • 16.6.10 Asia Pacific AI Studio Market by Deployment Type
      • 16.6.10.1 Asia Pacific Cloud Market by Country
      • 16.6.10.2 Asia Pacific On-premises Market by Country
    • 16.6.11 Asia Pacific AI Studio Market by End-User Sector
      • 16.6.11.1 Asia Pacific IT & Telecom Market by Country
      • 16.6.11.2 Asia Pacific BFSI Market by Country
      • 16.6.11.3 Asia Pacific Healthcare Market by Country
      • 16.6.11.4 Asia Pacific Retail Market by Country
      • 16.6.11.5 Asia Pacific Manufacturing Market by Country
      • 16.6.11.6 Asia Pacific Other End-User Sector Market by Country
    • 16.6.12 Asia Pacific AI Studio Market by Country
      • 16.6.12.1 China AI Studio Market
        • 16.6.12.1.1 China AI Studio Market by Organization Size
        • 16.6.12.1.2 China AI Studio Market by Offering
        • 16.6.12.1.3 China AI Studio Market by Deployment Model
        • 16.6.12.1.4 China AI Studio Market by Deployment Type
        • 16.6.12.1.5 China AI Studio Market by End-User Sector
      • 16.6.12.2 Japan AI Studio Market
        • 16.6.12.2.1 Japan AI Studio Market by Organization Size
        • 16.6.12.2.2 Japan AI Studio Market by Offering
        • 16.6.12.2.3 Japan AI Studio Market by Deployment Model
        • 16.6.12.2.4 Japan AI Studio Market by Deployment Type
        • 16.6.12.2.5 Japan AI Studio Market by End-User Sector
      • 16.6.12.3 India AI Studio Market
        • 16.6.12.3.1 India AI Studio Market by Organization Size
        • 16.6.12.3.2 India AI Studio Market by Offering
        • 16.6.12.3.3 India AI Studio Market by Deployment Model
        • 16.6.12.3.4 India AI Studio Market by Deployment Type
        • 16.6.12.3.5 India AI Studio Market by End-User Sector
      • 16.6.12.4 South Korea AI Studio Market
        • 16.6.12.4.1 South Korea AI Studio Market by Organization Size
        • 16.6.12.4.2 South Korea AI Studio Market by Offering
        • 16.6.12.4.3 South Korea AI Studio Market by Deployment Model
        • 16.6.12.4.4 South Korea AI Studio Market by Deployment Type
        • 16.6.12.4.5 South Korea AI Studio Market by End-User Sector
      • 16.6.12.5 Singapore AI Studio Market
        • 16.6.12.5.1 Singapore AI Studio Market by Organization Size
        • 16.6.12.5.2 Singapore AI Studio Market by Offering
        • 16.6.12.5.3 Singapore AI Studio Market by Deployment Model
        • 16.6.12.5.4 Singapore AI Studio Market by Deployment Type
        • 16.6.12.5.5 Singapore AI Studio Market by End-User Sector
      • 16.6.12.6 Malaysia AI Studio Market
        • 16.6.12.6.1 Malaysia AI Studio Market by Organization Size
        • 16.6.12.6.2 Malaysia AI Studio Market by Offering
        • 16.6.12.6.3 Malaysia AI Studio Market by Deployment Model
        • 16.6.12.6.4 Malaysia AI Studio Market by Deployment Type
        • 16.6.12.6.5 Malaysia AI Studio Market by End-User Sector
      • 16.6.12.7 Rest of Asia Pacific AI Studio Market
        • 16.6.12.7.1 Rest of Asia Pacific AI Studio Market by Organization Size
        • 16.6.12.7.2 Rest of Asia Pacific AI Studio Market by Offering
        • 16.6.12.7.3 Rest of Asia Pacific AI Studio Market by Deployment Model
        • 16.6.12.7.4 Rest of Asia Pacific AI Studio Market by Deployment Type
        • 16.6.12.7.5 Rest of Asia Pacific AI Studio Market by End-User Sector
  • 16.7 LAMEA AI Studio Market
  • 16.8 Key Factors Impacting the market
    • 16.8.1 Market Drivers
    • 16.8.2 Market Restraints
    • 16.8.3 Market Opportunities
    • 16.8.4 Market Challenges
    • 16.8.5 Market Trends - LAMEA Ai Studio Market
    • 16.8.6 State of Competition - LAMEA Ai Studio Market
    • 16.8.7 LAMEA AI Studio Market by Organization Size
      • 16.8.7.1 LAMEA Large Enterprise Market by Country
      • 16.8.7.2 LAMEA Small & Medium Enterprise (SME) Market by Country
    • 16.8.8 LAMEA AI Studio Market by Offering
      • 16.8.8.1 LAMEA Model Development Market by Country
      • 16.8.8.2 LAMEA Data Preparation Market by Country
      • 16.8.8.3 LAMEA Model Deployment Market by Country
      • 16.8.8.4 LAMEA Collaboration Tools Market by Country
      • 16.8.8.5 LAMEA Model Monitoring Market by Country
    • 16.8.9 LAMEA AI Studio Market by Deployment Model
      • 16.8.9.1 LAMEA SaaS (Software as a Service) Market by Country
      • 16.8.9.2 LAMEA PaaS (Platform as a Service) Market by Country
    • 16.8.10 LAMEA AI Studio Market by Deployment Type
      • 16.8.10.1 LAMEA Cloud Market by Country
      • 16.8.10.2 LAMEA On-premises Market by Country
    • 16.8.11 LAMEA AI Studio Market by End-User Sector
      • 16.8.11.1 LAMEA IT & Telecom Market by Country
      • 16.8.11.2 LAMEA BFSI Market by Country
      • 16.8.11.3 LAMEA Healthcare Market by Country
      • 16.8.11.4 LAMEA Retail Market by Country
      • 16.8.11.5 LAMEA Manufacturing Market by Country
      • 16.8.11.6 LAMEA Other End-User Sector Market by Country
    • 16.8.12 LAMEA AI Studio Market by Country
      • 16.8.12.1 Brazil AI Studio Market
        • 16.8.12.1.1 Brazil AI Studio Market by Organization Size
        • 16.8.12.1.2 Brazil AI Studio Market by Offering
        • 16.8.12.1.3 Brazil AI Studio Market by Deployment Model
        • 16.8.12.1.4 Brazil AI Studio Market by Deployment Type
        • 16.8.12.1.5 Brazil AI Studio Market by End-User Sector
      • 16.8.12.2 Argentina AI Studio Market
        • 16.8.12.2.1 Argentina AI Studio Market by Organization Size
        • 16.8.12.2.2 Argentina AI Studio Market by Offering
        • 16.8.12.2.3 Argentina AI Studio Market by Deployment Model
        • 16.8.12.2.4 Argentina AI Studio Market by Deployment Type
        • 16.8.12.2.5 Argentina AI Studio Market by End-User Sector
      • 16.8.12.3 UAE AI Studio Market
        • 16.8.12.3.1 UAE AI Studio Market by Organization Size
        • 16.8.12.3.2 UAE AI Studio Market by Offering
        • 16.8.12.3.3 UAE AI Studio Market by Deployment Model
        • 16.8.12.3.4 UAE AI Studio Market by Deployment Type
        • 16.8.12.3.5 UAE AI Studio Market by End-User Sector
      • 16.8.12.4 Saudi Arabia AI Studio Market
        • 16.8.12.4.1 Saudi Arabia AI Studio Market by Organization Size
        • 16.8.12.4.2 Saudi Arabia AI Studio Market by Offering
        • 16.8.12.4.3 Saudi Arabia AI Studio Market by Deployment Model
        • 16.8.12.4.4 Saudi Arabia AI Studio Market by Deployment Type
        • 16.8.12.4.5 Saudi Arabia AI Studio Market by End-User Sector
      • 16.8.12.5 South Africa AI Studio Market
        • 16.8.12.5.1 South Africa AI Studio Market by Organization Size
        • 16.8.12.5.2 South Africa AI Studio Market by Offering
        • 16.8.12.5.3 South Africa AI Studio Market by Deployment Model
        • 16.8.12.5.4 South Africa AI Studio Market by Deployment Type
        • 16.8.12.5.5 South Africa AI Studio Market by End-User Sector
      • 16.8.12.6 Nigeria AI Studio Market
        • 16.8.12.6.1 Nigeria AI Studio Market by Organization Size
        • 16.8.12.6.2 Nigeria AI Studio Market by Offering
        • 16.8.12.6.3 Nigeria AI Studio Market by Deployment Model
        • 16.8.12.6.4 Nigeria AI Studio Market by Deployment Type
        • 16.8.12.6.5 Nigeria AI Studio Market by End-User Sector
      • 16.8.12.7 Rest of LAMEA AI Studio Market
        • 16.8.12.7.1 Rest of LAMEA AI Studio Market by Organization Size
        • 16.8.12.7.2 Rest of LAMEA AI Studio Market by Offering
        • 16.8.12.7.3 Rest of LAMEA AI Studio Market by Deployment Model
        • 16.8.12.7.4 Rest of LAMEA AI Studio Market by Deployment Type
        • 16.8.12.7.5 Rest of LAMEA AI Studio Market by End-User Sector

Chapter 17. Company Profiles

  • 17.1 Microsoft Corporation
    • 17.1.1 Company Overview
    • 17.1.2 Financial Analysis
    • 17.1.3 Segmental and Regional Analysis
    • 17.1.4 Research & Development Expenses
    • 17.1.5 Recent strategies and developments:
      • 17.1.5.1 Product Launches and Product Expansions:
    • 17.1.6 SWOT Analysis
  • 17.2 IBM Corporation
    • 17.2.1 Company Overview
    • 17.2.2 Financial Analysis
    • 17.2.3 Regional & Segmental Analysis
    • 17.2.4 Research & Development Expenses
    • 17.2.5 Recent strategies and developments:
      • 17.2.5.1 Product Launches and Product Expansions:
      • 17.2.5.2 Acquisition and Mergers:
    • 17.2.6 SWOT Analysis
  • 17.3 Google LLC
    • 17.3.1 Company Overview
    • 17.3.2 Financial Analysis
    • 17.3.3 Segmental and Regional Analysis
    • 17.3.4 Research & Development Expenses
    • 17.3.5 Recent strategies and developments:
      • 17.3.5.1 Product Launches and Product Expansions:
    • 17.3.6 SWOT Analysis
  • 17.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 17.4.1 Company Overview
    • 17.4.2 Financial Analysis
    • 17.4.3 Segmental and Regional Analysis
    • 17.4.4 Recent strategies and developments:
      • 17.4.4.1 Product Launches and Product Expansions:
    • 17.4.5 SWOT Analysis
  • 17.5 Vonage Holdings Corp. (Ericsson AB)
    • 17.5.1 Company Overview
    • 17.5.2 Financial Analysis
    • 17.5.3 Segmental and Regional Analysis
    • 17.5.4 Research & Development Expense
    • 17.5.5 Recent strategies and developments:
      • 17.5.5.1 Partnerships, Collaborations, and Agreements:
      • 17.5.5.2 Product Launches and Product Expansions:
  • 17.6 Sprinklr, Inc.
    • 17.6.1 Company Overview
    • 17.6.2 Financial Analysis
    • 17.6.3 Regional Analysis
    • 17.6.4 Research & Development Expenses
    • 17.6.5 Recent strategies and developments:
      • 17.6.5.1 Product Launches and Product Expansions:
  • 17.7 Meta Platforms, Inc.
    • 17.7.1 Company Overview
    • 17.7.2 Financial Analysis
    • 17.7.3 Segment and Regional Analysis
    • 17.7.4 Research & Development Expense
    • 17.7.5 Recent strategies and developments:
      • 17.7.5.1 Partnerships, Collaborations, and Agreements:
      • 17.7.5.2 Product Launches and Product Expansions:
      • 17.7.5.3 Acquisition and Mergers:
    • 17.7.6 SWOT Analysis
  • 17.8 ALTAIR ENGINEERING INC.
    • 17.8.1 Company Overview
    • 17.8.2 Financial Analysis
    • 17.8.3 Segmental and Regional Analysis
    • 17.8.4 Research & Development Expenses
    • 17.8.5 Recent strategies and developments:
      • 17.8.5.1 Partnerships, Collaborations, and Agreements:
  • 17.9 C3.ai, Inc.
    • 17.9.1 Company Overview
    • 17.9.2 Financial Analysis
    • 17.9.3 Regional Analysis
    • 17.9.4 Research & Development Expenses
  • 17.10. HP, Inc.
    • 17.10.1 Company Overview
    • 17.10.1 Financial Analysis
    • 17.10.2 Segmental and Regional Analysis
    • 17.10.3 Research & Development Expense
    • 17.10.4 Recent strategies and developments:
      • 17.10.4.1 Product Launches and Product Expansions:
    • 17.10.5 SWOT Analysis

Chapter 18. Winning Imperatives of AI Studio Market

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