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Artificial Intelligence (AI) Market By Offering (Hardware, Services, Software), By Business Function (Human Resources, Security, Law, Finance, Operations, Marketing and Sales, Supply Chain Management), By Vertical (Retail & Ecommerce, BFSI, Telecom, Energy & Utilities, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Manufacturing, IT & ITeS, Agriculture, Media & Entertainment), and by Region; Global Insights & Forecast (2024 - 2030)

Published: December, 2024  
|   Report ID: TMT3432  
|   Technology, Media, and Telecommunications

As per Intent Market Research, the Artificial Intelligence (AI) Market was valued at USD 142.5 billion in 2023 and will surpass USD 1,237.6 billion by 2030; growing at a CAGR of 36.2% during 2024 - 2030.

The Artificial Intelligence (AI) market is poised for unprecedented growth in the coming years, driven by rapid advancements in technology and increasing adoption across various industries. The transformative capabilities of AI are being recognized across sectors such as healthcare, finance, manufacturing, and transportation, where businesses leverage AI technologies to enhance operational efficiency, drive innovation, and improve customer experiences. As organizations increasingly turn to AI solutions, the market's dynamics are evolving, fueled by a mix of startups and established players competing to capture significant market share.

The AI market can be segmented into several categories, including software, hardware, and services. Each segment encompasses numerous applications and use cases, which are further divided into sub-segments. Among these, particular sub-segments are emerging as leaders, whether due to their market size or rapid growth rates. This comprehensive overview will explore the largest and fastest-growing sub-segments within each category, illustrating the dynamic landscape of the AI market.

Artificial Intelligence (AI) Market size and share 2023

Software Segment is Largest Owing to the Rising Demand for AI Solutions

The software segment of the AI market is the largest, primarily driven by the increasing demand for AI-based applications across various sectors. Businesses are adopting AI software to streamline operations, enhance data analysis, and improve customer interactions. Applications such as machine learning, natural language processing, and computer vision are gaining traction, enabling organizations to derive valuable insights from vast amounts of data. The integration of AI in enterprise resource planning (ERP) and customer relationship management (CRM) systems has further propelled the demand for AI software, as companies seek to leverage these technologies to gain a competitive advantage.

Moreover, advancements in AI algorithms and the proliferation of cloud computing have facilitated the development of more sophisticated AI software solutions. Organizations can now access powerful AI tools without significant upfront investments in hardware, leading to increased adoption among small and medium-sized enterprises (SMEs). The growing trend of digital transformation and the need for automation in various business processes are expected to drive the growth of the AI software segment, making it a pivotal area in the overall AI market.

Hardware Segment is Fastest Growing Owing to Advances in AI Infrastructure

The hardware segment of the AI market is experiencing rapid growth, driven by the demand for advanced computing power and infrastructure to support AI applications. This sub-segment includes processors, graphics processing units (GPUs), and application-specific integrated circuits (ASICs) designed specifically for AI workloads. As organizations increasingly adopt AI solutions, the need for high-performance hardware has surged, enabling the training and deployment of complex AI models.

The proliferation of edge computing is also contributing to the growth of the hardware segment. With the rise of Internet of Things (IoT) devices, there is a growing demand for hardware capable of processing AI algorithms locally, reducing latency and enhancing real-time decision-making capabilities. Companies are investing heavily in developing cutting-edge hardware solutions that cater to the unique requirements of AI applications, further accelerating the growth of this segment. The hardware segment's rapid expansion reflects the critical role of infrastructure in enabling AI innovation and adoption.

Services Segment is Largest Owing to Increasing Demand for AI Consulting

The services segment of the AI market is the largest, driven by the growing need for AI consulting, implementation, and support services. As organizations embark on their AI journeys, they often require expertise to navigate the complexities of AI technologies. AI consulting services help businesses identify the most suitable AI solutions for their specific needs, guiding them through the planning and deployment phases. This demand for specialized knowledge and skills has led to significant growth in the AI services sector.

Furthermore, the rise of managed AI services is enhancing the attractiveness of this segment. Many companies prefer to outsource their AI initiatives to third-party service providers who can offer tailored solutions and ongoing support. This trend is particularly pronounced among SMEs that may lack the resources to develop and maintain in-house AI capabilities. The services segment's robust growth is indicative of the broader trend of businesses seeking external expertise to harness the full potential of AI technologies.

Fastest Growing Sub-Segment: AI-Enabled Cybersecurity Services

In the broader services segment, AI-enabled cybersecurity services are the fastest growing, fueled by the increasing need for advanced security measures in an era of escalating cyber threats. Organizations are increasingly leveraging AI technologies to enhance their cybersecurity posture by automating threat detection, response, and prevention mechanisms. AI algorithms can analyze vast amounts of data in real-time, identifying anomalies and potential threats more effectively than traditional security solutions.

The demand for AI-enabled cybersecurity services is further amplified by the rise of remote work and digital transformation initiatives, which have expanded the attack surface for cybercriminals. Companies are prioritizing investments in AI-driven cybersecurity solutions to safeguard sensitive data and maintain operational continuity. As the cybersecurity landscape evolves, the integration of AI technologies will play a crucial role in shaping the future of security services.

AI in Healthcare Segment is Largest Owing to Transformative Applications

The AI in healthcare segment is the largest within the overall AI market, driven by the transformative applications of AI technologies in diagnostics, treatment planning, and patient management. AI solutions are being employed to analyze medical images, predict patient outcomes, and personalize treatment plans, leading to improved healthcare delivery and outcomes. The increasing adoption of telemedicine and digital health solutions has further accelerated the demand for AI applications in healthcare.

Moreover, the COVID-19 pandemic has underscored the importance of AI in healthcare, as it facilitated rapid vaccine development and efficient patient management. As healthcare organizations continue to embrace AI technologies to enhance operational efficiency and patient care, the healthcare segment is expected to maintain its position as the largest within the AI market. This trend highlights the critical role of AI in addressing some of the most pressing challenges faced by the healthcare industry.

AI in Retail Segment is Fastest Growing Owing to Enhanced Customer Experiences

The AI in retail segment is the fastest growing, propelled by the increasing focus on enhancing customer experiences through personalized services and targeted marketing. Retailers are leveraging AI technologies to analyze consumer behavior, optimize inventory management, and improve supply chain efficiency. AI-driven recommendations and chatbots are transforming the shopping experience, enabling retailers to engage customers in meaningful ways.

Additionally, the rise of e-commerce and the shift towards omnichannel strategies are fueling the demand for AI solutions in retail. As businesses seek to differentiate themselves in a competitive landscape, the adoption of AI technologies to create personalized shopping experiences is becoming a key priority. The rapid growth of the AI in retail segment underscores the industry's commitment to leveraging technology to meet evolving consumer expectations and drive sales.

AI in Financial Services Segment is Largest Owing to Risk Management Solutions

The AI in financial services segment is the largest, driven by the increasing adoption of AI for risk management and fraud detection. Financial institutions are utilizing AI algorithms to analyze transaction data and identify suspicious activities in real-time, thereby enhancing security and reducing financial losses. The ability of AI to process large datasets quickly and accurately is a significant advantage in the fast-paced world of finance.

Furthermore, AI technologies are being employed to streamline various financial processes, including credit scoring, customer service, and investment management. The growing emphasis on regulatory compliance and risk mitigation is propelling the demand for AI solutions in the financial sector. As organizations continue to prioritize security and efficiency, the AI in financial services segment is expected to remain a dominant force in the overall AI market.

AI in Manufacturing Segment is Fastest Growing Owing to Smart Automation

The AI in manufacturing segment is the fastest growing, fueled by the adoption of smart automation solutions to enhance operational efficiency. Manufacturers are increasingly leveraging AI technologies to optimize production processes, improve quality control, and predict equipment failures. The integration of AI in manufacturing operations is enabling companies to achieve higher levels of productivity while reducing costs.

Moreover, the rise of Industry 4.0 is driving the demand for AI-driven solutions in manufacturing. As companies embrace digital transformation initiatives, the need for intelligent systems that can analyze data and make informed decisions is becoming paramount. The rapid growth of the AI in manufacturing segment reflects the industry's commitment to leveraging technology to remain competitive in a rapidly changing landscape.

AI in Transportation Segment is Largest Owing to Autonomous Vehicle Development

The AI in transportation segment is the largest, primarily driven by advancements in autonomous vehicle technology. Companies are investing heavily in AI solutions to develop self-driving cars and improve traffic management systems. AI technologies enable vehicles to process real-time data from various sensors, allowing for safe navigation and efficient route planning.

Additionally, AI is being employed to enhance logistics and supply chain management, optimizing delivery routes and improving fleet management. As the demand for smarter transportation solutions continues to rise, the AI in transportation segment is expected to maintain its position as a key area within the overall AI market. The focus on safety, efficiency, and sustainability is shaping the future of transportation, making AI an integral part of this evolution.

Leading Companies and Competitive Landscape

The competitive landscape of the AI market is characterized by a mix of established tech giants and innovative startups. The top ten companies dominating the market include:

  1. Microsoft Corporation: Renowned for its Azure AI platform, Microsoft offers a wide range of AI services that cater to various industries.
  2. IBM Corporation: A pioneer in AI research, IBM provides AI solutions through its Watson platform, focusing on healthcare, finance, and enterprise applications.
  3. Google LLC: With its AI-driven technologies, Google is at the forefront of machine learning and natural language processing advancements.
  4. Amazon Web Services (AWS): AWS offers a comprehensive suite of AI services, enabling businesses to build and deploy intelligent applications in the cloud.
  5. NVIDIA Corporation: Known for its high-performance GPUs, NVIDIA plays a crucial role in powering AI applications across sectors.
  6. Intel Corporation: Intel is investing in AI hardware and software solutions, focusing on enhancing performance and scalability.
  7. Salesforce.com, Inc.: Salesforce integrates AI capabilities into its CRM platform, providing businesses with intelligent insights to

Report Objectives:

The report will help you answer some of the most critical questions in the Artificial Intelligence (AI) Market. A few of them are as follows:

  1. What are the key drivers, restraints, opportunities, and challenges influencing the market growth?
  2. What are the prevailing technology trends in the Artificial Intelligence (AI) market?
  3. What is the size of the Artificial Intelligence (AI) market based on segments, sub-segments, and regions?
  4. What is the size of different market segments across key regions: North America, Europe, Asia Pacific, Latin America, Middle East & Africa?
  5. What are the market opportunities for stakeholders after analyzing key market trends?
  6. Who are the leading market players and what are their market share and core competencies?
  7. What is the degree of competition in the market and what are the key growth strategies adopted by leading players?
  8. What is the competitive landscape of the market, including market share analysis, revenue analysis, and a ranking of key players?

Report Scope:

Report Features

Description

Market Size (2023-e)

USD 142.5 billion

Forecasted Value (2030)

USD 1,237.6 billion

CAGR (2024-2030)

36.2%

Base Year for Estimation

2023

Historic Year

2022

Forecast Period

2024-2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

Artificial Intelligence (AI) Market By Offering (Hardware, Services, Software), By Business Function (Human Resources, Security, Law, Finance & Accounting, Operations, Marketing and Sales, Supply Chain Management), By Vertical (Retail & Ecommerce, BFSI, Telecom, Energy & Utilities, Transportation & Logistics, Government & Defense, Healthcare & Life Sciences, Manufacturing, IT & ITeS, Agriculture, Media & Entertainment)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Spain, Italy & Rest of Europe), Asia Pacific (China, Japan, South Korea, India, and rest of Asia Pacific), Latin America (Brazil, Argentina, & Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA)

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

1.Introduction

1.1.Market Definition

1.2.Scope of the Study

1.3.Research Assumptions

1.4.Study Limitations

2.Research Methodology

2.1.Research Approach

2.1.1.Top-Down Method

2.1.2.Bottom-Up Method

2.1.3.Factor Impact Analysis

2.2.Insights & Data Collection Process

2.2.1.Secondary Research

2.2.2.Primary Research

2.3.Data Mining Process

2.3.1.Data Analysis

2.3.2.Data Validation and Revalidation

2.3.3.Data Triangulation

3.Executive Summary

3.1.Major Markets & Segments

3.2.Highest Growing Regions and Respective Countries

3.3.Impact of Growth Drivers & Inhibitors

3.4.Regulatory Overview by Country 

4.Artificial Intelligence (AI) Market, by Offering (Market Size & Forecast: USD Billion, 2024 – 2030)

4.1.Hardware

4.2.Software

4.3.Services

5.Artificial Intelligence (AI) Market, by Business Function (Market Size & Forecast: USD Billion, 2024 – 2030)

5.1.Security

5.2.Human Resources

5.3.Finance & Accounting

5.4.Marketing and Sales

5.5.Operations

5.6.Law

5.7.Supply Chain Management

6.Artificial Intelligence (AI) Market, by Verticals (Market Size & Forecast: USD Billion, 2024 – 2030)

6.1.Transportation & Logistics

6.2.BFSI

6.3.Energy & Utilities

6.4.Retail & Ecommerce

6.5.Healthcare & Life Sciences

6.6.Telecom

6.7.Government & Defense

6.8.Agriculture

6.9.IT & ITeS

6.10.Manufacturing

6.11.Media & Entertainment

6.12.Others

7.Regional Analysis (Market Size & Forecast: USD Billion, 2024 – 2030)

7.1.Regional Overview

7.2.North America

7.2.1.Regional Trends & Growth Drivers

7.2.2.Barriers & Challenges

7.2.3.Opportunities

7.2.4.Factor Impact Analysis

7.2.5.Technology Trends

7.2.6.North America Artificial Intelligence (AI) Market, by Offering

7.2.7.North America Artificial Intelligence (AI) Market, by Business Function

7.2.8.North America Artificial Intelligence (AI) Market, by Verticals

*Similar segmentation will be provided at each regional level

7.3.By Country

7.3.1.US

7.3.1.1.US Artificial Intelligence (AI) Market, by Offering

7.3.1.2.US Artificial Intelligence (AI) Market, by Business Function

7.3.1.3.US Artificial Intelligence (AI) Market, by Verticals

7.3.2.Canada

7.3.3.Mexico

*Similar segmentation will be provided at each country level

7.4.Europe

7.5.APAC

7.6.Latin America

7.7.Middle East & Africa

8.Competitive Landscape

8.1.Overview of the Key Players

8.2.Competitive Ecosystem

8.2.1.Platform Manufacturers

8.2.2.Subsystem Manufacturers

8.2.3.Service Providers

8.2.4.Software Providers

8.3.Company Share Analysis

8.4.Company Benchmarking Matrix

8.4.1.Strategic Overview

8.4.2.Product Innovations

8.5.Start-up Ecosystem

8.6.Strategic Competitive Insights/Customer Imperatives

8.7.ESG Matrix/ Sustainability Matrix

8.8.Manufacturing Network

8.8.1.Locations

8.8.2.Supply Chain and Logistics

8.8.3.Product Flexibility/Customization

8.8.4.Digital Transformation and Connectivity

8.8.5.Environmental and Regulatory Compliance

8.9.Technology Readiness Level Matrix

8.10.Technology Maturity Curve

8.11.Buying Criteria

9.Company Profiles

9.1.Alphabet

9.1.1.Company Overview

9.1.2.Company Financials

9.1.3.Product/Service Portfolio

9.1.4.Recent Developments

9.1.5.IMR Analysis

*Similar information will be provided for other companies 

9.2.Microsoft

9.3.IBM Corporation

9.4.Oracle

9.5.AWS

9.6.Intel

9.7.SAP

9.8.Siemens

9.9.NVIDIA

9.10.SAS Institute

10.Appendix

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A comprehensive market research approach was employed to gather and analyze data on the Artificial Intelligence (AI) Market. In the process, the analysis was also done to estimate the parent market and relevant adjacencies to major the impact of them on the Artificial Intelligence (AI) Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach - Artificial Intelligence (AI) Market

Secondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Artificial Intelligence (AI) ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Estimation

A combination of top-down and bottom-up approaches was utilized to estimate the overall size of the Artificial Intelligence (AI) market. These methods were also employed to estimate the size of various sub segments within the market. The market size estimation methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down - Artificial Intelligence (AI) Market

Data Triangulation

To ensure the accuracy and reliability of the market size estimates, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size estimates.

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