세계의 AI API 시장 예측(-2030년) : 제품별, 통합 모드별, 기술별, 기능별, 최종사용자별, 지역별
AI API Market by Product Type(Computer Vision API (Object Detection), Generative AI API, Speech API, Voice API(ASR, VAD), Text API(NER, Sentiment Analysis), Document Parsing API (OCR, Document Classification), Translation API)-Global Forecast to 2030
상품코드:1669770
리서치사:MarketsandMarkets
발행일:2025년 02월
페이지 정보:영문 322 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
AI API 시장은 2025년 444억 1,000만 달러에서 2030년에는 1,791억 4,000만 달러로 성장하며, 예측 기간 중 CAGR은 32.2%로 예측됩니다.
생성형 AI는 동적 컨텐츠 생성, 워크플로우 자동화, 마케팅, 고객 서비스, 미디어 등 산업 전반에 걸쳐 개인화를 강화할 수 있으므로 AI API에 대한 수요가 증가하고 있습니다. 기업은 용도에 원활하게 통합되는 확장 가능한 AI 모델을 찾고 있으며, 이는 API 채택을 촉진하고 있습니다. OpenAI는 GPT 모델을 선도하고 있으며, 컨텐츠 제작 및 자동화에 필수적인 다용도 텍스트, 이미지, 코드 생성 기능을 제공하는 GPT 모델을 제공합니다. Cloud는 멀티모달 인터랙션 및 기업 AI 솔루션에 최적화된 Gemini AI로 우위를 점하고 있으며, AI 도입이 증가함에 따라 생성형 AI API는 용도의 효율성, 창의성 및 지능형 자동화를 촉진하는 열쇠가 될 것입니다.
조사 범위
조사 대상연도
2020-2030년
기준연도
2024년
예측 기간
2025-2030년
검토 단위
달러(10억 달러)
부문
제품별, 통합 모드별, 기술별, 기능별, 최종사용자별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
헬스케어와 생명과학 최종사용자는 상호운용성과 원활한 데이터 교환의 필요성 때문에 API에 대한 수요가 높으며, API는 서로 다른 시스템 간의 통신을 가능하게 하여 환자 치료와 업무 효율성을 향상시킵니다. 가치 기반 치료와 환자 중심 모델로의 전환은 데이터 통합과 안전한 공유를 촉진함으로써 API의 채택을 가속화하고 있습니다. 또한 API는 원격의료의 확장을 지원하고, 실시간 데이터 액세스를 통해 임상적 의사결정을 강화합니다. 환자가 자신의 건강 정보에 쉽게 접근할 수 있도록 하는 등의 규제 요건은 이러한 수요를 더욱 촉진하고 있습니다.
북미는 첨단 기술 생태계, 강력한 산업적 입지, 정부 지원 AI 구상의 원동력으로 AI API 채택을 주도하고 있습니다. 미국은 대규모 AI 투자, 역동적인 스타트업 환경, 금융 및 헬스케어 분야에서 AI API를 추진하는 구글과 마이크로소프트와 같은 하이테크 대기업의 혜택을 누리고 있습니다. 미국 국제개발처(USAID)는 OpenAI의 ChatGPT Enterprise API를 활용하여 정부 업무를 효율화하고 있으며, 2024년 12월 캐나다의 AI 스타트업 Cohere는 기업 특화 AI 모델에 초점을 맞추고 API 기반 AI 솔루션을 최적화하여 효율성을 높이고 있습니다. 9억 달러의 지원을 받은 Cohere는 Oracle 및 후지쯔와 협력하여 비즈니스 요구에 맞는 AI API를 제공합니다. 캐나다의 AI 연구에 대한 투자와 헬스케어 및 기업용 솔루션과 같은 분야에서 AI 기반 API에 대한 수요가 증가함에 따라 AI 도입이 계속 가속화되고 있습니다.
세계의 디지털 트윈 시장에 대해 조사했으며, 용도별, 업계별, 기업별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
서론
시장 역학
업계 동향
제6장 AI API 시장, 제품별
서론
유형
배포 모드
제7장 AI API 시장, 통합 모드별
서론
스탠드얼론
플랫폼 기반
IoT와 엣지 컴퓨팅
제8장 AI API 시장, 기술별
서론
생성형 AI
기타 AI
제9장 AI API 시장, 기능별
서론
사전 트레이닝 모델
커스터마이즈형 모델
제10장 AI API 시장, 최종사용자별
서론
BFSI
미디어·엔터테인먼트
통신
정부·공공 부문
헬스케어·생명과학
제조
소매·E-Commerce
테크놀러지·소프트웨어
여행·접객(Hoapitality)
운송·물류
기타
제11장 AI API 시장, 지역별
서론
북미
북미 : AI API 시장 성장 촉진요인
북미 : 거시경제에 대한 영향
미국
캐나다
유럽
유럽 : AI API 시장 성장 촉진요인
유럽 : 거시경제에 대한 영향
영국
독일
프랑스
이탈리아
스페인
기타
아시아태평양
아시아태평양 : AI API 시장 성장 촉진요인
아시아태평양 : 거시경제에 대한 영향
중국
일본
인도
한국
호주와 뉴질랜드
ASEAN 국가
기타
중동 및 아프리카
중동 및 아프리카 : AI API 시장 성장 촉진요인
중동 및 아프리카 : 거시경제에 대한 영향
중동
아프리카
라틴아메리카
라틴아메리카 : AI API 시장 성장 촉진요인
라틴아메리카 : 거시경제적 영향
브라질
멕시코
아르헨티나
기타
제12장 경쟁 구도
개요
주요 참여 기업의 전략/강점, 2021-2025년
매출 분석, 2020-2024년
시장 점유율 분석, 2024년
제공되는 제품의 비교 분석
주요 벤더의 기업 평가와 재무 지표
기업 평가 매트릭스 : 주요 참여 기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오
제13장 기업 개요
서론
주요 참여 기업
MICROSOFT
IBM
GOOGLE
OPENAI
AWS
META
DATABRICKS
DATAROBOT
TWILIO
기타 기업
DEEPL
MIDJOURNEY
SYMPHONYAI
SCALE AI
VERITONE
FLOW AI
SENTISIGHT.AI
YANDEX
BAIDU
SPEECHMATICS
스타트업/중소기업
ANTHROPIC
COHERE
DEEPAI
WIT.AI
DEEPSEEK
ASSEMBLYAI
LETTRIA
CEQUENCE SECURITY
EDEN AI
CLARIFAI
APPTEK
HUGGING FACE
BASE64
TWELVE LABS
PLIVO
TAVUS
IMAGGA
DEEP INFRA
DEEPGRAM
GOOSE AI
SNATCHBOT
PLUM VOICE
MINDEE
REPLICATE
MODELSLAB
제14장 인접 시장과 관련 시장
제15장 부록
KSA
영문 목차
영문목차
The AI API market is projected to grow from USD 44.41 billion in 2025 to USD 179.14 billion by 2030, at a compound annual growth rate (CAGR) of 32.2% during the forecast period. Generative AI has higher demand in AI APIs due to its ability to create dynamic content, automate workflows, and enhance personalization across industries like marketing, customer service, and media. Businesses seek scalable AI models that integrate seamlessly into applications, driving API adoption. OpenAI leads with its GPT models, offering versatile text, image, and code generation capabilities, making it essential for content creation and automation. Google Cloud dominates with Gemini AI, optimized for multimodal interactions and enterprise AI solutions. As AI adoption grows, generative AI APIs are key to driving efficiency, creativity, and intelligent automation in applications.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
USD (Billion)
Segments
Product type, Integration mode, Technology, Functionality, End user, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
"By end user, healthcare and life sciences segment will register the highest CAGR during the forecast period."
Healthcare and life sciences end-users have a higher demand for APIs due to the need for interoperability and seamless data exchange. APIs enable communication between disparate systems, improving patient care and operational efficiency. The shift toward value-based care and patient-centric models accelerates API adoption by facilitating data aggregation and secure sharing. Additionally, APIs support telemedicine expansion and enhance clinical decision-making with real-time data access. Regulatory requirements, such as ensuring patients can easily access their health information, to further drive demand.
"By region, North America will hold the largest market share of the AI API market during the forecast period."
North America leads AI API adoption, driven by its advanced tech ecosystem, strong industry presence, and government-backed AI initiatives. The U.S. benefits from major AI investments, a dynamic startup landscape, and tech giants like Google and Microsoft advancing AI APIs in finance and healthcare. The U.S. Agency for International Development (USAID) is leveraging OpenAI's ChatGPT Enterprise API to streamline government operations. In December 2024, Canadian AI startup Cohere, shifted focus to enterprise-specific AI models, optimizing API-driven AI solutions for efficiency. Backed by USD 900 million, Cohere collaborates with Oracle and Fujitsu to deliver AI APIs tailored to business needs. Canada's investment in AI research and the rising demand for AI-driven APIs in sectors like healthcare and enterprise solutions continue to accelerate adoption.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI API market.
By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
By Designation: C-Level: 35%, Director Level: 25%, and Others: 40%
By Region: North America: 40%, Europe: 25%, Asia Pacific: 20%, Middle East & Africa: 10%, and Latin America: 5%.
Microsoft (US), IBM (US), Google (US), AWS (US), Open AI (US), Meta (US), Databricks (US), DataRobot (US); are some of the key players in the AI API market.
The study includes an in-depth competitive analysis of these key players in the AI API market, including their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI API market by product type (Computer Vision APIs, Text APIs, Speech/ Voice APIs, Document Parsing APIs, Translation APIs, Generative AI APIs, and Other Product Types), by deployment mode (cloud and on-premises), by technology (generative AI, other AI), by integration mode (standalone, platform-based and IoT & edge computing), by functionality (pre - trained models and customizable models) by End user (BFSI, Retail & eCommerce, Healthcare & Life Sciences, Telecommunications, Media & Entertainment, Travel & Hospitality, Technology & Software, Government & Public Sector, Manufacturing, Transportation & Logistics, and Other End Users) and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI API market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI API market. Competitive analysis of upcoming startups in the AI API market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI API market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (AI APIs Accelerate Digital Transformation Across Various Industries, AI-Powered Automation Drives Business Efficiency, Cost Savings, and Scalability, Cloud AI APIs Enhance Security, Innovation, and Operational Efficiency), restraints (Unsecured Shadow and Zombie APIs Expose Organizations to Cyber Threats), opportunities (Unsecured Shadow and Zombie APIs Expose Organizations to Cyber Threats), and challenges (AI API Latency Limits Efficiency and User Experience) influencing the growth of the AI API market.
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI API market
Market Development: Comprehensive information about lucrative markets - the report analyses the AI API market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI API market
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Microsoft (US), IBM (US), Google (US), AWS (US), Open AI (US), Meta (US), Databricks (US), DataRobot (US), Baidu (China), Twilio (US), AssemblyAI (US) among others in AI API market.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 INCLUSIONS & EXCLUSIONS
1.3.2 MARKET SEGMENTATION
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RISK ASSESSMENT
2.7 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI API MARKET
4.2 AI API MARKET: INTEGRATION MODES
4.3 NORTH AMERICA: AI API MARKET, BY DEPLOYMENT MODE AND FUNCTIONALITY
4.4 AI API MARKET: BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Accelerated digital transformation across key industries
5.2.1.2 High business efficiency, cost savings, and scalability
5.2.1.3 Enhanced security, innovation, and operational efficiency
5.2.2 RESTRAINTS
5.2.2.1 Exposure to cyber threats due to unsecured Shadow and Zombie APIs
5.2.3 OPPORTUNITIES
5.2.3.1 Accelerated innovation with edge computing for real-time intelligence
5.2.3.2 GraphQL and asynchronous processing for efficiency
5.2.4 CHALLENGES
5.2.4.1 AI API latency - Critical bottleneck in efficiency and user experience
5.2.5 ECOSYSTEM ANALYSIS
5.2.5.1 Computer vision APIs
5.2.5.2 Speech/Voice APIs
5.2.5.3 Translation APIs
5.2.5.4 Text APIs
5.2.5.5 Document parsing APIs
5.2.5.6 Generative AI APIs
5.2.5.7 Autonomous agents, AI recommendations, knowledge graph
5.2.5.8 End users
5.2.6 TECHNOLOGY ANALYSIS
5.2.6.1 Key technologies
5.2.6.1.1 NLP and deep learning
5.2.6.1.2 Computer vision
5.2.6.1.3 Generative AI
5.2.6.1.3.1 Rule-based models
5.2.6.1.3.2 Statistical models
5.2.6.1.3.3 Deep learning models
5.2.6.1.3.4 Generative adversarial networks
5.2.6.1.3.5 Autoencoders
5.2.6.1.3.6 Convolutional neural networks
5.2.6.1.3.7 Transformer-based large language models
5.2.6.1.4 Speech recognition and synthesis
5.2.6.1.5 AI model training and optimization
5.2.6.2 Adjacent technologies
5.2.6.2.1 Blockchain
5.2.6.2.2 Robotics
5.2.6.2.3 Quantum computing
5.2.6.2.4 Internet of Things
5.2.6.2.5 5G and advanced connectivity
5.2.6.3 Complementary technologies
5.2.6.3.1 Cybersecurity
5.2.6.3.2 Augmented reality and virtual reality
5.2.6.3.3 Cloud computing
5.2.6.3.4 Edge computing
5.2.7 REGULATORY LANDSCAPE
5.2.7.1 Regulatory bodies, government agencies, and other organizations
5.2.7.2 Regulatory Framework
5.2.7.2.1 North America
5.2.7.2.1.1 US
5.2.7.2.1.2 Canada
5.2.7.2.2 Europe
5.2.7.2.2.1 UK
5.2.7.2.2.2 Germany
5.2.7.2.2.3 France
5.2.7.2.3 Asia Pacific
5.2.7.2.3.1 Australia
5.2.7.2.3.2 India
5.2.7.2.3.3 China
5.2.7.2.3.4 Japan
5.2.7.2.3.5 South Korea
5.2.7.2.4 Middle East & Africa
5.2.7.2.4.1 Saudi Arabia
5.2.7.2.4.2 UAE
5.2.7.2.4.3 Bahrain
5.2.7.2.4.4 Kuwait
5.2.7.2.4.5 Africa
5.2.7.2.5 Latin America
5.2.7.2.5.1 Brazil
5.2.7.2.5.2 Mexico
5.2.7.2.5.3 Argentina
5.2.8 SUPPLY CHAIN ANALYSIS
5.2.9 PRICING ANALYSIS
5.2.9.1 Indicative pricing analysis, by product type, 2024
5.2.9.2 Indicative pricing analysis, by integration mode, 2024
5.3 INDUSTRY TRENDS
5.3.1 EVOLUTION OF AI API MARKET
5.3.2 CASE STUDY ANALYSIS
5.3.2.1 Perplexity supercharges search with Anthropic's Claude 3 Family
5.3.2.2 DeepBrain AI revolutionizes contactless customer engagement with AI Banker
5.3.2.3 EdgeTier unlocks new markets & accelerates growth with AssemblyAI's Speech-to-Text
5.3.2.4 Sonic Transcript & Eden AI: Seamless AI translation for global research
5.3.2.5 Plivo and Flight Vector: delivering reliable communication in life-or-death situations
5.3.3 PORTER'S FIVE FORCES ANALYSIS
5.3.3.1 Threat of new entrants
5.3.3.2 Threat of substitutes
5.3.3.3 Bargaining power of suppliers
5.3.3.4 Bargaining power of buyers
5.3.3.5 Intensity of competitive rivalry
5.3.4 KEY CONFERENCES AND EVENTS
5.3.5 KEY STAKEHOLDERS AND BUYING CRITERIA
5.3.5.1 Key stakeholders in buying process
5.3.5.2 Buying criteria
5.3.6 PATENT ANALYSIS
5.3.6.1 Methodology
5.3.6.2 Patents filed, by document type
5.3.6.3 Innovations and patent applications
5.3.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.3.8 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.3.9 IMPACT OF GENERATIVE AI ON AI API MARKET
5.3.9.1 Top use cases and market potential
5.3.9.2 Key Use Cases
5.3.9.2.1 Enhanced efficiency and productivity
5.3.9.2.2 24/7 availability
5.3.9.2.3 Personalized customer interactions
5.3.9.2.4 Cost reduction
5.3.9.2.5 Proactive customer engagement
5.3.9.2.6 Scalability
6 AI API MARKET, BY PRODUCT
6.1 INTRODUCTION
6.1.1 PRODUCT: AI API MARKET DRIVERS
6.2 TYPE
6.2.1 COMPUTER VISION API
6.2.1.1 Image recognition & classification
6.2.1.2 Video analysis
6.2.1.3 Object detection
6.2.2 SPEECH/VOICE API
6.2.2.1 Automatic speech recognition
6.2.2.2 Speaker identification
6.2.2.3 Voice activity detection
6.2.2.4 Others
6.2.3 TRANSLATION API
6.2.3.1 Text & speech
6.2.3.2 Contextual
6.2.3.3 Multimodal
6.2.4 TEXT API
6.2.4.1 Named entity recognition
6.2.4.2 Sentiment analysis
6.2.4.3 Text classification & summarization
6.2.4.4 Keyword extraction
6.2.4.5 Others
6.2.5 DOCUMENT PARSING API
6.2.5.1 Optical character recognition
6.2.5.2 Structure & unstructured data extraction
6.2.5.3 Document classification
6.2.5.4 PDF & scanned document extraction
6.2.5.5 Document warehouse
6.2.6 GENERATIVE AI API
6.2.6.1 Text generation
6.2.6.2 Image generation
6.2.6.3 Video generation
6.2.6.4 Voice & audio generation
6.2.6.5 Code generation
6.2.7 OTHER API TYPES
6.3 DEPLOYMENT MODE
6.3.1 CLOUD
6.3.1.1 Scalable, efficient AI API integration to drive market
6.3.2 ON-PREMISES
6.3.2.1 Maximized control and performance - key drivers
7 AI API MARKET, BY INTEGRATION MODE
7.1 INTRODUCTION
7.2 STANDALONE
7.2.1 ENHANCED FLEXIBILITY AND CONTROL TO DRIVE MARKET
7.3 PLATFORM-BASED
7.3.1 WISELY USED FOR ENHANCED APPLICATIONS AND COMPETITIVE EDGE
7.4 IOT & EDGE COMPUTING
7.4.1 ENHANCED REAL-TIME DECISION-MAKING TO BOOST SEGMENT GROWTH
8 AI API MARKET, BY TECHNOLOGY
8.1 INTRODUCTION
8.2 GENERATIVE AI
8.2.1 SUPPORT FOR MULTIPLE FUNCTIONALITIES TO DRIVE SEGMENT
8.3 OTHER AI
8.3.1 ML
8.3.2 NLP & DEEP LEARNING
8.3.3 PREDICTIVE ANALYTICS
8.3.4 IMAGE & SPEECH RECOGNITION
9 AI API MARKET, BY FUNCTIONALITY
9.1 INTRODUCTION
9.1.1 FUNCTIONALITY AI API MARKET DRIVERS
9.2 PRE-TRAINED MODELS
9.2.1 ENHANCED SCALABILITY FOR AI EXPANSION TO BOOST SEGMENT
9.3 CUSTOMIZABLE MODELS
9.3.1 OPTIMIZED AI PERFORMANCE WITH TRANSFER LEARNING AND CUSTOM MODELS
10 AI API MARKET, BY END USER
10.1 INTRODUCTION
10.1.1 END USER: AI API MARKET DRIVERS
10.2 BFSI
10.2.1 SEAMLESS INTEGRATION, AUTOMATION, AND INNOVATION TO BOOST SEGMENT
10.3 MEDIA & ENTERTAINMENT
10.3.1 SEAMLESS CONTENT CREATION, ENGAGEMENT, MONETIZATION TO DRIVE MARKET
10.4 TELECOMMUNICATIONS
10.4.1 ENHANCED EFFICIENCY THROUGH AUTOMATION TO DRIVE SEGMENT
10.5 GOVERNMENT & PUBLIC SECTOR
10.5.1 ENHANCED EFFICIENCY AND INTELLIGENCE TO PROPEL SEGMENT
10.6 HEALTHCARE & LIFE SCIENCES
10.6.1 ADVANCED HEALTHCARE AND MEDICAL RESEARCH - KEY DRIVER
10.7 MANUFACTURING
10.7.1 STREAMLINED PRODUCTION AND QUALITY CONTROL TO BOOST GROWTH
10.8 RETAIL & E-COMMERCE
10.8.1 SEGMENT DRIVEN BY PERSONALIZATION AND OPERATIONAL EFFICIENCY
10.9 TECHNOLOGY & SOFTWARE
10.9.1 PERSONALIZED USER EXPERIENCE THROUGH AI RECOMMENDATIONS TO DRIVE SEGMENT
10.10 TRAVEL & HOSPITALITY
10.10.1 ENHANCED CUSTOMER EXPERIENCE AND REVENUE OPTIMIZATION TO PROPEL GROWTH
10.11 TRANSPORTATION & LOGISTICS
10.11.1 OPTIMIZED SUPPLY CHAIN AND AUTOMATED OPERATIONS TO DRIVE SEGMENT
10.12 OTHER END USERS
10.12.1 ENHANCED EFFICIENCY, AUTOMATION, AND INSIGHTS TO BOOST MARKET
11 AI API MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: AI API MARKET DRIVERS
11.2.2 NORTH AMERICA: MACROECONOMIC IMPACT
11.2.3 US
11.2.3.1 Microsoft-OpenAI collaboration to boost AI integration in business workflows
11.2.4 CANADA
11.2.4.1 Leads AI innovation with strategic collaborations and sustainable investments
11.3 EUROPE
11.3.1 EUROPE: AI API MARKET DRIVERS
11.3.2 EUROPE: MACROECONOMIC IMPACT
11.3.3 UK
11.3.3.1 Growth in AI sector with key companies and infrastructure
11.3.4 GERMANY
11.3.4.1 Compliance with EU AI Act - key driver
11.3.5 FRANCE
11.3.5.1 Investment to drive ethical development and innovation - key to market growth
11.3.6 ITALY
11.3.6.1 Driving innovation in Italy: AI APIs powering digital transformation across industries
11.3.7 SPAIN
11.3.7.1 Initiatives by government and tech firms to drive ethical and innovative development in AI
11.3.8 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: AI API MARKET DRIVERS
11.4.2 ASIA PACIFIC: MACROECONOMIC IMPACT
11.4.3 CHINA
11.4.3.1 AI revolution with innovation by leading companies to provide significant market boost
11.4.4 JAPAN
11.4.4.1 Market driven by human-centric, ethical, and innovative AI business practices
11.4.5 INDIA
11.4.5.1 Flourishing API ecosystem with support from Google and government
11.4.6 SOUTH KOREA
11.4.6.1 Strategic partnerships and R&D investment to accelerate growth
11.4.7 AUSTRALIA & NEW ZEALAND
11.4.7.1 Strategic investments and collaborations to boost market growth
11.4.8 ASEAN COUNTRIES
11.4.8.1 Government focus on digital infrastructure for AI API innovation to drive market
11.4.9 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MIDDLE EAST & AFRICA: AI API MARKET DRIVERS
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC IMPACT
11.5.3 MIDDLE EAST
11.5.3.1 Saudi Arabia
11.5.3.1.1 National Strategy for Data & AI to drive market growth
11.5.3.2 UAE
11.5.3.2.1 AI revolution in healthcare and education - key driver
11.5.3.3 Kuwait
11.5.3.3.1 Collaborations and knowledge sharing among companies to foster market growth
11.5.3.4 Bahrain
11.5.3.4.1 Integration of AI for economic diversification to drive market
11.5.3.5 Rest of Middle East
11.5.4 AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: AI API MARKET DRIVERS
11.6.2 LATIN AMERICA: MACROECONOMIC IMPACT
11.6.3 BRAZIL
11.6.3.1 AI research centers to boost growth in healthcare, agriculture, and finance
11.6.4 MEXICO
11.6.4.1 Leveraging AI API through key partnerships and innovations - key driver
11.6.5 ARGENTINA
11.6.5.1 Agency for Access to Public Information's AI Transparency Program to boost market growth
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
12.3 REVENUE ANALYSIS, 2020-2024
12.4 MARKET SHARE ANALYSIS, 2024
12.4.1 MARKET SHARE ANALYSIS OF KEY PLAYERS
12.4.2 MARKET RANKING ANALYSIS
12.5 COMPARATIVE ANALYSIS OF PRODUCTS OFFERED
12.5.1 GENERATIVE API COMPARATIVE ANALYSIS
12.5.1.1 GPT-4, DALL-E, ChatGPT API (OpenAI)
12.5.1.2 Vertex AI, Bard API, Imagen (Google)
12.5.1.3 Claude API (Anthropic)
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY TEXT API
12.5.2.1 Amazon Comprehend (AWS)
12.5.2.2 Azure Text Analytics (Microsoft)
12.5.2.3 Cohere Classify and Embed API (Cohere)
12.5.3 SPEECH RECOGNITION API COMPARATIVE ANALYSIS
12.5.3.1 Rev.ai API
12.5.3.2 Speech-to-Text API (AssemblyAI)
12.5.3.3 Twilio Speech Recognition
12.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS
12.7.5.1 Company footprint
12.7.5.2 Region footprint
12.7.5.3 Product type footprint
12.7.5.4 Integration mode footprint
12.7.5.5 End user footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
