Artificial Intelligence (AI) Market (By Type: Narrow/Weak AI, General/Strong AI; By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision; By Solution: Software, Hardware, Services; By Deployment Mode: Cloud, On-premises; By End User; By Business Function; By Organization Size; By System Type) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022 – 2030

The global artificial intelligence (AI) market size was estimated at US$ 87.04 billion in 2021 and it is expected to hit US$ 1,597.1 billion by 2030 with a registered CAGR of 38.1% from 2022 to 2030.

Growth Factors:

The continuous research and innovation directed by the tech giants are driving the adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing. For instance, In November 2020, Intel Corporation acquired, an Israeli company that develops and operates a platform for data scientists to build and run machine learning models, to boost Artificial Intelligence (AI) business. However, technology has always been an essential element for these industries, but AI has brought technology to the center of organizations.

For instance, from self-driving vehicles to crucial life-saving medical gear, AI is being infused virtually into every apparatus and program. AI is proven to be a significant revolutionary element of the upcoming digital era. Tech giants like, Inc.; Google LLC; Apple Inc.; Facebook, International Business Machines Corporation, and Microsoft are investing significantly in the research and development of AI. These companies are working to make AI more accessible for enterprise use-cases. Moreover, various companies adopt AI technology to provide a better customer experience. For instance, in March 2020, McDonald’s made its most significant tech investment of USD 300 million to acquire AI start-up Tel Aviv to provide a personalized customer experience using AI.

The essential fact accelerating the rate of innovation in AI is accessibility to historical datasets. Since data storage and recovery have become more economical, healthcare institutions and government agencies build unstructured data accessible to the research domain. Researchers are getting access to rich datasets from historic rain trends to clinical imaging. The next-generation computing architectures, with access to rich datasets, are encouraging information scientists and researchers to innovate faster. Furthermore, progress in profound learning and ANN (Artificial Neural Networks) has also fueled the adoption of AI in several industries, such as aerospace, healthcare, manufacturing, and automotive.  

 Report Scope of the Artificial Intelligence Market

Report Coverage


Market Size by 2030

USD 1,597.1 Billion

Growth Rate from 2022 to 2030

CAGR of 38.1%

North America Makret Share in 2021


Software Segment Makret Share in 2021


Base Year


Forecast Period

2022 to 2030

Segments Covered

Type, Technology, Solution, End User, Business Function, Deployment Mode, Organization Size, System Type, Geography

Companies Mentioned

Intel Corporation, Microsoft, IBM, Google, Amazon Web Services, Baidu, Inc., NVIDIA Corporation,, Lifegraph, Sensely, Inc., Enlitic, Inc., AiCure, HyperVerge, Inc., Arm Limited

ANN works in recognizing similar patterns and helps in providing modified solutions. Tech companies like Google Maps have been adopting the ANN to improve their route and work on the feedback received using the ANN. ANN is substituting conventional machine learning systems to evolve precise and accurate versions. For instance, recent advancements in computer vision technology, such as GAN (Generative Adversarial Networks) and SSD (Single Shot MultiBox Detector), have led to digital image processing techniques. For instance, images and videos were taken in low light, or low resolution can be transformed into HD quality by employing these techniques. The continuous research in computer vision has built the foundation for digital image processing in security and surveillance, healthcare, and transportation, among other sectors. Such emerging machine learning methods are anticipated to alter the manner AI versions are trained and deployed.

 The WHO has declared the novel coronavirus (COVID-19) outbreak a pandemic, causing a massive impact on businesses and humankind. This pandemic has emerged as an opportunity for AI-enabled computer systems to fight against the epidemic as several tech giants and start-ups are working on preventing, mitigating, and containing the virus. For instance, the Chinese tech giant Alibaba's research institute Damo Academy has developed a diagnostic algorithm to detect new coronavirus cases with the chest CT (Computed Tomography) scan. The AI model used in the system has been trained with the sample data from over 5,000 positive coronavirus cases. For instance, in June 2020, Lunit developed an AI solution for x-ray analysis of the chest for simpler management of Covid-19 cases and offered assistance in interpreting, monitoring, and patient trials.

Technology Insights

Based on the technology, the deep learning was the leading segment that constituted a market share of around 38% in 2021. This dominance is attributable to its complex applications driven by the data such as audio, video, and text recognition. The rising technological advancements in the field of deep learning is expected to overcome the challenges associated with the high volumes of data. Furthermore, the rising adoption of the deep learning technology in the medical field is expected to further fuel the growth of the segment during the forecast period.

The huge share of the machine learning in the total investments in AI technology is fueling its adoption in various applications such as hypothesis generation, clustering, altering, tagging, clustering, filtering, visualization, and navigation promotes the development of the cognitive solutions. The rising deployment of the on-premises hardware and cloud computing platforms for handling and storing huge volumes of data has significantly contributed to the rise of the data analytics platforms. The rising investments by the top tech giants in the innovation and research are expected to fuel the growth of the AI market in the upcoming future.

Solution Insights

The software segment accounted for a revenue share of over 39% in 2021. The improvements in the data storage system, parallel processing, and improved computing power are the major drivers of the software segment in the AI market. The higher demand for the software technologies for the deployment and designing of AI applications such as linear algebra, video analytics, hardware communication capacity, inference, and sparse matrices is fueling the growth of the segment. The rising need for the enterprises to gain meaningful data and information through visual content analysis is expected to boost the demand for the software solutions in the global artificial intelligence market.

The hardware is estimated to be the fastest-growing segment during the forecast period. The artificial intelligence hardware includes various components such as CPU, GPU, ASIC and FPGA. The huge demand for the CPUs and GPUs owing to their high computing power has resulted in the dominance of the CPU and GPU in the hardware segment. The rising adoption of the AI technology across the different end use verticals is expected to boost the demand for the artificial intelligence hardware systems in the forthcoming years.

End User Insights

The global artificial intelligence market, based on the end user, was dominated by the advertising & media segment that accounted for over 21% of the market share in 2021. The rising adoption of AI in the marketing applications has fueled the growth of this segment. The increased investments by the various companies in the marketing and advertisement have led to the dominance of the marketing & media segment in the global AI market.

The healthcare segment is expected to overtake the advertising & media segment during the forecast period. The increased adoption of the AI in various applications such as virtual nursing assistants, robotic surgery, clinical trials, automated image diagnosis, and so on is significantly fostering the growth of this segment. Furthermore, the rising penetration of the telehealth platforms and rising adoption of the remote monitoring systems and electronic health records is expected to boost the growth of this segment during the forecast period.

 Regional Insights

North America dominated the market and accounted for revenue share of over 42.0% in 2021. This high share is attributable to favorable government initiatives to encourage the adoption of AI across various industries. For instance, in February 2019, U.S. President Donald J. Trump launched the American AI Initiative as the nation’s strategy for promoting leadership in artificial intelligence. As part of this initiative, Federal agencies have fostered public trust in AI-based systems by establishing guidelines for its development and real-life implementation across different industrial sectors. 

In Asia Pacific, the market is anticipated to witness significant CAGR over the forecast period. This growth owes to the significantly increasing investments in artificial intelligence. For instance, in April 2018, Baidu, Inc., a China-based tech giant, announced that it had entered into definitive agreements with investors concerning the divestiture of its financial services group (FSG), providing wealth management, consumer credit, and other business services. The investors are led by Carlyle Investment Management LLC and Tarrant Capital IP, LLC, with participation from ABC International, and Taikanglife, among others. Also, a growing number of AI start-ups in the region are boosting the adoption of AI to improve operational efficiency and enable process automation.  

Some of the prominent players in the Artificial Intelligence (AI) Market include:

  • Intel Corporation
  • Microsoft
  • IBM
  • Google
  • Amazon Web Services
  • Baidu, Inc.
  • NVIDIA Corporation
  • Lifegraph
  • Sensely, Inc.
  • Enlitic, Inc.
  • AiCure
  • HyperVerge, Inc.
  • Arm Limited
  • Clarifai, Inc.

Segments Covered in the Report

This research report offers market revenue, sales volume, production assessment and prognoses by classifying it on the basis of various aspects. Further, this research study investigates market size, production, consumption and its development trends at global, regional, and country level for the period of 2017 to 2030 and covers subsequent region in its scope:

By Type

  • Narrow/Weak AI
  • General/Strong AI

By Technology

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Other Technology
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision

By Solution

  • Software
  • Hardware
  • Services

By End User

  • BFSI
    • Risk Assessment
    • Financial Analysis/Research
    • Investment/Portfolio Management
    • Others
  • Retail
  • Law
  • Healthcare
    • Robot Assisted Surgery
    • Virtual Nursing Assistants
    • Hospital Workflow Management
    • Dosage Error Reduction
    • Clinical Trial Participant Identifier
    • Preliminary Diagnosis
    • Automated Image Diagnosis
  • Advertising & Media
  • Manufacturing
  • Automotive and Transportation
  • Others

By Business Function

  • Marketing and Sales
  • Security
  • Finance
  • Law
  • Human Resource
  • Other

By Deployment Mode

  • Cloud
  • On-premises

By Organization Size

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

By System Type

  • Artificial Neural Networks
  • Digital Assistant
  • Automotive Robotics System
  • Embedded System

By Geography

North America

  • U.S.
  • Canada


  • Germany
  • France
  • United Kingdom
  • Rest of Europe

Asia Pacific

  • China
  • Japan
  • India
  • Southeast Asia
  • Rest of Asia Pacific

Latin America

  • Brazil
  • Rest of Latin America

Middle East & Africa (MEA)

  • GCC
  • North Africa
  • South Africa
  • Rest of Middle East & Africa

Key Points Covered in Artificial Intelligence (AI) Market Study:

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