세계의 벡터 임베딩 API 시장 보고서(2025년)
Vector Embedding API Global Market Report 2025
상품코드 : 1889608
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

벡터 임베딩 API 시장 규모는 최근 급격한 성장을 보이고 있습니다. 2024년 14억 4,000만 달러로 평가되었고, 2025년에는 18억 8,000만 달러에 달할 것으로 추정되며, CAGR 30.7%로 확대될 전망입니다. 지난 수년간의 성장은 자연 언어 처리의 이용 확대, AI를 활용한 분석 기술의 보급, 자동화 추천 시스템에 대한 수요 증가, 빅 데이터 기술의 확대, AI 연구에 대한 투자 증가 등이 요인으로 생각됩니다.

벡터 임베딩 API 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 54억 4,000만 달러에 달할 것으로 예측되며, CAGR 30.4%로 성장할 전망입니다. 예측 기간 동안의 성장은 실시간 데이터 처리에 대한 수요 증가, 인공지능 구동 개인화 도입 확대, 기업 워크플로우에서의 벡터 임베딩 통합 증가, 인공지능 서비스 제공 확대, 사기 감지 및 보안 분석에 대한 관심 증가로 기인할 것으로 예측됩니다. 예측 기간 주요 동향으로는 멀티모달 임베디드 기능의 진보, 자연어 처리와의 통합 강화, 실시간 벡터 검색의 혁신, AI 구동형 시맨틱 검색의 도입, 클라우드 네이티브 임베딩 서비스의 진전 등을 들 수 있습니다.

클라우드 기반 솔루션의 보급 확대는 향후 벡터 임베딩 API 시장의 성장을 이끌 것으로 예측됩니다. 클라우드 기반 솔루션은 원격 서버에서 호스팅되고 인터넷을 통해 액세스되는 애플리케이션 및 서비스를 의미합니다. 이들은 로컬 인프라에 의존하지 않고, 확장 가능하며 유연한 온디맨드 컴퓨팅 및 스토리지를 제공합니다. 클라우드 기반 솔루션 증가는 쉬운 접근성을 통해 추진되고 있으며, 사용자는 어디서나 애플리케이션과 데이터에 액세스할 수 있어 원활한 작업과 협업이 가능합니다. 벡터 임베딩 API는 효율적인 의미 검색, 추천 시스템, 지능형 데이터 수집을 가능하게 함으로써 클라우드 기반 솔루션을 강화하여 클라우드 애플리케이션이 대규모 비정형 텍스트를 효율적으로 처리하고 이해할 수 있도록 합니다. 예를 들어 영국 IT 지원 기업인 AAG IT 보고서에 따르면 2025년 1월 현재 퍼블릭 클라우드 서비스의 수익은 2022년 4,150억 달러를 넘었으며(2021년 3,430억 달러에서 증가), 2023년에는 5,260억 달러에 이를 것으로 예측됩니다. 따라서 클라우드 기반 솔루션의 활용 확대는 벡터 임베딩 API 시장의 성장을 지원합니다.

벡터 임베딩 API 시장의 주요 기업은 보다 복잡한 텍스트 입력을 이해하고 처리하는 모델의 능력을 향상시키기 위해 확장 컨텍스트 길이를 개발하는 데 주력하고 있습니다. 이렇게 하면 의미 검색, 추천, 자연 언어 이해 작업의 정확성 및 관련성이 향상됩니다. 확장 컨텍스트 길이는 단일 입력 내에서 더 많은 양의 텍스트와 데이터를 처리하고 유지하는 모델의 능력을 말하며, 보다 일관성 있고 컨텍스트에 따른 응답을 생성합니다. 예를 들어, 2025년 7월에는 미국에 본사를 둔 기술 기업인 Google LLC가 자연 언어 이해와 표현을 강화하기 위한 최초의 생산 등급 텍스트 임베디드 모델인 gemini-embedding-001을 발표했습니다. 현재 Gemini API, Google AI Studio 및 Vertex AI를 통해 개발자에게 제공되고 있으며, 다국어 지원, 향상된 컨텍스트 이해 및 최적화된 성능을 통해 시맨틱 검색, 추천 시스템, 광범위한 AI 애플리케이션을 위한 고급 기능을 제공하며 업계를 통한 혁신을 추진합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Vector embedding API is an application programming interface that transforms data such as text, images, or audio into high-dimensional numerical vectors, allowing machines to interpret and process the semantic meaning of the data. These APIs are widely applied in search, recommendation systems, and AI-driven analytics to evaluate similarity and relationships between data points. By providing a standardized method to generate embeddings, they enable developers to incorporate advanced machine learning capabilities without building models from scratch.

The key components of vector embedding APIs are software, hardware, and services. The software is a tool that converts data, including text, images, or audio, into numerical vector representations, enabling machines to efficiently perform similarity search, recommendation, and semantic understanding tasks. Deployment modes include cloud and on-premises, and they are utilized by small and medium enterprises as well as large enterprises. Applications include natural language processing, recommendation systems, image processing, search and information retrieval, and fraud detection, serving end users such as banking, financial services, and insurance (BFSI), healthcare, retail and e-commerce, information technology and telecommunications, and media and entertainment.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The vector embedding API market research report is one of a series of new reports from The Business Research Company that provides vector embedding API market statistics, including vector embedding API industry global market size, regional shares, competitors with a vector embedding API market share, detailed vector embedding API market segments, market trends and opportunities, and any further data you may need to thrive in the vector embedding API industry. This vector embedding API market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The vector embedding API market size has grown exponentially in recent years. It will grow from $1.44 billion in 2024 to $1.88 billion in 2025 at a compound annual growth rate (CAGR) of 30.7%. The growth during the historic period can be attributed to increasing use of natural language processing, rising adoption of AI-powered analytics, growing demand for automated recommendation systems, expansion of big data technologies, and increasing investment in AI research.

The vector embedding API market size is expected to see exponential growth in the next few years. It will grow to $5.44 billion in 2029 at a compound annual growth rate (CAGR) of 30.4%. The growth during the forecast period can be attributed to growing demand for real-time data processing, rising adoption of AI-driven personalization, increasing integration of vector embeddings in enterprise workflows, expansion of AI-as-a-service offerings, and heightened focus on fraud detection and security analytics. Key trends in the forecast period include advancements in multimodal embedding capabilities, enhanced natural language processing integration, innovations in real-time vector search, incorporation of AI-driven semantic search, and progress in cloud-native embedding services.

The increasing availability of cloud-based solutions is expected to drive the growth of the vector embedding API market going forward. Cloud-based solutions are applications or services hosted on remote servers and accessed via the internet. They offer scalable, flexible, and on-demand computing and storage without relying on local infrastructure. The rise in cloud-based solutions is driven by easy accessibility, allowing users to access applications and data from anywhere, enabling seamless work and collaboration. Vector embedding API enhances cloud-based solutions by enabling efficient semantic search, recommendation systems, and intelligent data retrieval, allowing cloud applications to process and understand large volumes of unstructured text efficiently. For example, in January 2025, according to a report by AAG IT, a UK-based IT support company, public cloud service revenue exceeded $415 billion in 2022, up from $343 billion in 2021, and is projected to reach $526 billion in 2023. Therefore, the increasing availability of cloud-based solutions is supporting the growth of the vector embedding API market.

Key companies in the vector embedding API market are focusing on developing extended context length to improve the model's ability to understand and process longer and more complex text inputs, enhancing the accuracy and relevance of semantic search, recommendations, and natural language understanding tasks. Extended context length refers to a model's capacity to process and retain a larger amount of text or data within a single input, generating more coherent and contextually relevant responses. For instance, in July 2025, Google LLC, a US-based technology company, launched gemini-embedding-001, its first production-grade text embedding model, designed to enhance natural language understanding and representation. It is now available to developers via the Gemini API, Google AI Studio, and Vertex AI, offering advanced capabilities for semantic search, recommendation systems, and a wide range of AI applications, with multilingual support, improved contextual understanding, and optimized performance to drive innovation across industries.

In February 2025, MongoDB Inc., a US-based software company, acquired Voyage AI, Inc. for an undisclosed amount. Through this acquisition, MongoDB Inc. aims to strengthen its AI and data analytics capabilities by integrating Voyage AI Inc.'s advanced machine learning and autonomous data processing technologies, enhancing its platform's ability to deliver smarter, faster, and more scalable database solutions. Voyage AI Inc. is a US-based technology company providing advanced embedding and reranking models for building accurate semantic search and AI applications.

Major companies operating in the vector embedding api market are Google LLC, Microsoft Corp., Alibaba Group Holding Limited, Amazon Web Services Inc., Tencent Cloud Computing Limited, International Business Machines Corporation, Oracle Corporation, OpenAI Inc., Databricks Inc., Elastic N.V., Redis Ltd., Telnyx LLC, Cohere Inc., Vald Performance Pty Ltd., Pinecone Systems Inc., Huawei Technologies Co. Ltd., NLP Cloud, DeepLake, Weaviate Holding Inc., Chroma Inc., Cloudester Software LLP.

North America was the largest region in the vector embedding API market in 2024.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in vector embedding API report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the vector embedding API market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The vector embedding API market consists of revenues earned by entities by providing services such as similarity search service, system integration services, multimodal embedding service, fine-tuning service, and metadata management service. The market value includes the value of related goods sold by the service provider or included within the service offering. The vector embedding API also includes sales of hardware appliances, edge devices, sensors, and networking equipment. Values in this market are 'factory gate' values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Vector Embedding API Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on vector embedding api market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for vector embedding api ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The vector embedding api market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Vector Embedding API Market Characteristics

3. Vector Embedding API Market Trends And Strategies

4. Vector Embedding API Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Vector Embedding API Growth Analysis And Strategic Analysis Framework

6. Vector Embedding API Market Segmentation

7. Vector Embedding API Market Regional And Country Analysis

8. Asia-Pacific Vector Embedding API Market

9. China Vector Embedding API Market

10. India Vector Embedding API Market

11. Japan Vector Embedding API Market

12. Australia Vector Embedding API Market

13. Indonesia Vector Embedding API Market

14. South Korea Vector Embedding API Market

15. Western Europe Vector Embedding API Market

16. UK Vector Embedding API Market

17. Germany Vector Embedding API Market

18. France Vector Embedding API Market

19. Italy Vector Embedding API Market

20. Spain Vector Embedding API Market

21. Eastern Europe Vector Embedding API Market

22. Russia Vector Embedding API Market

23. North America Vector Embedding API Market

24. USA Vector Embedding API Market

25. Canada Vector Embedding API Market

26. South America Vector Embedding API Market

27. Brazil Vector Embedding API Market

28. Middle East Vector Embedding API Market

29. Africa Vector Embedding API Market

30. Vector Embedding API Market Competitive Landscape And Company Profiles

31. Vector Embedding API Market Other Major And Innovative Companies

32. Global Vector Embedding API Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Vector Embedding API Market

34. Recent Developments In The Vector Embedding API Market

35. Vector Embedding API Market High Potential Countries, Segments and Strategies

36. Appendix

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