An API, or Application Programming Interface, lets one software program talk to another. AI APIs give developers access to robust AI services. Artificial intelligence (AI) APIs integrate different AI and machine learning techniques for users to obtain detailed insights about their data. These APIs can be used in a variety of business functions, including face recognition, sentiment analysis, spam filtering and language detection.
The global AI APIs market was valued at US$ 3365 million in 2023 and is anticipated to reach US$ 13910 million by 2030, witnessing a CAGR of 21.7% during the forecast period 2024-2030.
Much like how the steam engine had automated blue-collar work in energy, manufacturing, and logistics, we are now entering a whole new era of automation across sectors, especially in computer-based industries. Needless to say, AI is one of the key factors towards greater automation. Research by Goldman Sachs suggests that 18% of global work could be automated by AI, with the biggest impact felt in white-collar jobs like administration and business operations. It is important to note that AI is unlikely to make entire job functions redundant. Rather, repetitive or low-impact tasks can be delegated to AI automation, allowing more time for high-impact or more complex work. For example, in customer support, GenAI-enabled chatbots can interact autonomously with customers to provide basic support and handle common inquiries, while human agents can handle more demanding cases. Artificial Intelligence (AI) APIs help developers add intelligent app features. An API, or Application Programming Interface, lets one software program talk to another. AI APIs give developers access to robust AI services. With AI APIs, you can add features like: Recognizing images, Converting speech to text, Translating languages.These APIs send data to a cloud service, where AI algorithms process it and return the results. This means you don’t need to build or understand complex AI models yourself. Using AI APIs saves time and effort. Instead of creating AI from scratch, you can use ready-made services. This lets you focus on building your app’s unique features. Many big tech companies, like Google, IBM, and Microsoft, offer AI APIs. These services are reliable and can handle lots of data and requests.
This report aims to provide a comprehensive presentation of the global market for AI APIs, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI APIs.
The AI APIs market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI APIs market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI APIs companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Baidu
OpenAI
Tencent
Google
Microsoft Azure
Amazon
IBM
ParallelDots
Rev.ai
Wit.ai
Iflytek Co.,Ltd.
Alibaba
Filestack
OpenAI GPT-4
Clarifai
DeepAI AI API
Aylien
MonkeyLearn
Komprehend
Tavus
Imagga
Segment by Type
Web API
Program API
Others
Segment by Application
Automotive
Consumer Electronics
Industrial Robot
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI APIs company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI APIs Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Web API
1.2.3 Program API
1.2.4 Others
1.3 Market by Application
1.3.1 Global AI APIs Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive
1.3.3 Consumer Electronics
1.3.4 Industrial Robot
1.3.5 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI APIs Market Perspective (2019-2030)
2.2 Global AI APIs Growth Trends by Region
2.2.1 Global AI APIs Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI APIs Historic Market Size by Region (2019-2024)
2.2.3 AI APIs Forecasted Market Size by Region (2025-2030)
2.3 AI APIs Market Dynamics
2.3.1 AI APIs Industry Trends
2.3.2 AI APIs Market Drivers
2.3.3 AI APIs Market Challenges
2.3.4 AI APIs Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI APIs Players by Revenue
3.1.1 Global Top AI APIs Players by Revenue (2019-2024)
3.1.2 Global AI APIs Revenue Market Share by Players (2019-2024)
3.2 Global AI APIs Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI APIs Revenue
3.4 Global AI APIs Market Concentration Ratio
3.4.1 Global AI APIs Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI APIs Revenue in 2023
3.5 Global Key Players of AI APIs Head office and Area Served
3.6 Global Key Players of AI APIs, Product and Application
3.7 Global Key Players of AI APIs, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI APIs Breakdown Data by Type
4.1 Global AI APIs Historic Market Size by Type (2019-2024)
4.2 Global AI APIs Forecasted Market Size by Type (2025-2030)
5 AI APIs Breakdown Data by Application
5.1 Global AI APIs Historic Market Size by Application (2019-2024)
5.2 Global AI APIs Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI APIs Market Size (2019-2030)
6.2 North America AI APIs Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI APIs Market Size by Country (2019-2024)
6.4 North America AI APIs Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI APIs Market Size (2019-2030)
7.2 Europe AI APIs Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI APIs Market Size by Country (2019-2024)
7.4 Europe AI APIs Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI APIs Market Size (2019-2030)
8.2 Asia-Pacific AI APIs Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI APIs Market Size by Region (2019-2024)
8.4 Asia-Pacific AI APIs Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI APIs Market Size (2019-2030)
9.2 Latin America AI APIs Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI APIs Market Size by Country (2019-2024)
9.4 Latin America AI APIs Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI APIs Market Size (2019-2030)
10.2 Middle East & Africa AI APIs Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI APIs Market Size by Country (2019-2024)
10.4 Middle East & Africa AI APIs Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Baidu
11.1.1 Baidu Company Details
11.1.2 Baidu Business Overview
11.1.3 Baidu AI APIs Introduction
11.1.4 Baidu Revenue in AI APIs Business (2019-2024)
11.1.5 Baidu Recent Development
11.2 OpenAI
11.2.1 OpenAI Company Details
11.2.2 OpenAI Business Overview
11.2.3 OpenAI AI APIs Introduction
11.2.4 OpenAI Revenue in AI APIs Business (2019-2024)
11.2.5 OpenAI Recent Development
11.3 Tencent
11.3.1 Tencent Company Details
11.3.2 Tencent Business Overview
11.3.3 Tencent AI APIs Introduction
11.3.4 Tencent Revenue in AI APIs Business (2019-2024)
11.3.5 Tencent Recent Development
11.4 Google
11.4.1 Google Company Details
11.4.2 Google Business Overview
11.4.3 Google AI APIs Introduction
11.4.4 Google Revenue in AI APIs Business (2019-2024)
11.4.5 Google Recent Development
11.5 Microsoft Azure
11.5.1 Microsoft Azure Company Details
11.5.2 Microsoft Azure Business Overview
11.5.3 Microsoft Azure AI APIs Introduction
11.5.4 Microsoft Azure Revenue in AI APIs Business (2019-2024)
11.5.5 Microsoft Azure Recent Development
11.6 Amazon
11.6.1 Amazon Company Details
11.6.2 Amazon Business Overview
11.6.3 Amazon AI APIs Introduction
11.6.4 Amazon Revenue in AI APIs Business (2019-2024)
11.6.5 Amazon Recent Development
11.7 IBM
11.7.1 IBM Company Details
11.7.2 IBM Business Overview
11.7.3 IBM AI APIs Introduction
11.7.4 IBM Revenue in AI APIs Business (2019-2024)
11.7.5 IBM Recent Development
11.8 ParallelDots
11.8.1 ParallelDots Company Details
11.8.2 ParallelDots Business Overview
11.8.3 ParallelDots AI APIs Introduction
11.8.4 ParallelDots Revenue in AI APIs Business (2019-2024)
11.8.5 ParallelDots Recent Development
11.9 Rev.ai
11.9.1 Rev.ai Company Details
11.9.2 Rev.ai Business Overview
11.9.3 Rev.ai AI APIs Introduction
11.9.4 Rev.ai Revenue in AI APIs Business (2019-2024)
11.9.5 Rev.ai Recent Development
11.10 Wit.ai
11.10.1 Wit.ai Company Details
11.10.2 Wit.ai Business Overview
11.10.3 Wit.ai AI APIs Introduction
11.10.4 Wit.ai Revenue in AI APIs Business (2019-2024)
11.10.5 Wit.ai Recent Development
11.11 Iflytek Co.,Ltd.
11.11.1 Iflytek Co.,Ltd. Company Details
11.11.2 Iflytek Co.,Ltd. Business Overview
11.11.3 Iflytek Co.,Ltd. AI APIs Introduction
11.11.4 Iflytek Co.,Ltd. Revenue in AI APIs Business (2019-2024)
11.11.5 Iflytek Co.,Ltd. Recent Development
11.12 Alibaba
11.12.1 Alibaba Company Details
11.12.2 Alibaba Business Overview
11.12.3 Alibaba AI APIs Introduction
11.12.4 Alibaba Revenue in AI APIs Business (2019-2024)
11.12.5 Alibaba Recent Development
11.13 Filestack
11.13.1 Filestack Company Details
11.13.2 Filestack Business Overview
11.13.3 Filestack AI APIs Introduction
11.13.4 Filestack Revenue in AI APIs Business (2019-2024)
11.13.5 Filestack Recent Development
11.14 OpenAI GPT-4
11.14.1 OpenAI GPT-4 Company Details
11.14.2 OpenAI GPT-4 Business Overview
11.14.3 OpenAI GPT-4 AI APIs Introduction
11.14.4 OpenAI GPT-4 Revenue in AI APIs Business (2019-2024)
11.14.5 OpenAI GPT-4 Recent Development
11.15 Clarifai
11.15.1 Clarifai Company Details
11.15.2 Clarifai Business Overview
11.15.3 Clarifai AI APIs Introduction
11.15.4 Clarifai Revenue in AI APIs Business (2019-2024)
11.15.5 Clarifai Recent Development
11.16 DeepAI AI API
11.16.1 DeepAI AI API Company Details
11.16.2 DeepAI AI API Business Overview
11.16.3 DeepAI AI API AI APIs Introduction
11.16.4 DeepAI AI API Revenue in AI APIs Business (2019-2024)
11.16.5 DeepAI AI API Recent Development
11.17 Aylien
11.17.1 Aylien Company Details
11.17.2 Aylien Business Overview
11.17.3 Aylien AI APIs Introduction
11.17.4 Aylien Revenue in AI APIs Business (2019-2024)
11.17.5 Aylien Recent Development
11.18 MonkeyLearn
11.18.1 MonkeyLearn Company Details
11.18.2 MonkeyLearn Business Overview
11.18.3 MonkeyLearn AI APIs Introduction
11.18.4 MonkeyLearn Revenue in AI APIs Business (2019-2024)
11.18.5 MonkeyLearn Recent Development
11.19 Komprehend
11.19.1 Komprehend Company Details
11.19.2 Komprehend Business Overview
11.19.3 Komprehend AI APIs Introduction
11.19.4 Komprehend Revenue in AI APIs Business (2019-2024)
11.19.5 Komprehend Recent Development
11.20 Tavus
11.20.1 Tavus Company Details
11.20.2 Tavus Business Overview
11.20.3 Tavus AI APIs Introduction
11.20.4 Tavus Revenue in AI APIs Business (2019-2024)
11.20.5 Tavus Recent Development
11.21 Imagga
11.21.1 Imagga Company Details
11.21.2 Imagga Business Overview
11.21.3 Imagga AI APIs Introduction
11.21.4 Imagga Revenue in AI APIs Business (2019-2024)
11.21.5 Imagga Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Baidu
OpenAI
Tencent
Google
Microsoft Azure
Amazon
IBM
ParallelDots
Rev.ai
Wit.ai
Iflytek Co.,Ltd.
Alibaba
Filestack
OpenAI GPT-4
Clarifai
DeepAI AI API
Aylien
MonkeyLearn
Komprehend
Tavus
Imagga
Ìý
Ìý
*If Applicable.
