Artificial Intelligence (AI) Market Size, Share, Trends, Analysis and Forecast by Product/Service (Specialized AI Applications, AI Hardware, AI Platforms, AI Consulting and Support Services), Enterprise Size Band, Vertical and Region, by 2026

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  • Make informed decisions about investments, partnerships, and product development.
  • Stay ahead of the competition by identifying their positioning in the market.
  • Expand product portfolios or invest successfully by identifying high-potential product/service types, growth trends, segments, and markets.
  • Adjust business development strategies by anticipating expected changes in demand.
  • Identify growth opportunities in potential regions and countries

How is our Artificial Intelligence (AI) Market’ report different from other reports in the market?

  • This report features a comprehensive market sizing analysis at segment level for more than 20 countries including historic and forecast market assessment for the period 2021-2026 providing valuable insights and supporting market entry and other strategic decisions. Our analysis is supported by robust research methodology and subject matter experts
  • Detailed segmentation by product/service type, verticals, and enterprise size bands allows businesses to tailor their marketing strategies to the market.
  • Value chain analysis that can help businesses understand the market by identifying the different stages involved in the creation, production, and distribution of AI products and services. By analyzing the value chain, businesses can identify areas where they can improve their efficiency and effectiveness, reduce costs, optimise supply chain  and enhance their competitive advantage.
  • Vendor growth innovation matrix and competitive profiling and benchmarking of key players provide a deeper understanding of industry competition.
  • Valuable tool for AI companies to track and understand the latest developments and future scope in the market to re-evaluate their marketing strategies and maximize profitability

We recommend this valuable source of information to anyone involved in:

  • ​AI Hardware Companies
  • ​AI Services Companies
  • ​AI Application Development Companies
  • ​Machine Learning Companies
  • ​Conversational Platform Companies
  • ​AI Chip Manufacturing Companies
  • ​Smart Robot Manufacturing Companies
  • ​Investment and ​Venture Capitalists
  • ​Start-ups and Seed Companies

Artificial Intelligence Market Report Overview

The global artificial intelligence market size will be valued at $97 billion by 2023 and is expected to grow at a CAGR of over 19% over the forecast period. Growing popularity of the metaverse and its integration with artificial intelligence is expected to bode well for market growth over the forecast period. Furthermore, increasing adoption of explainable AI (XAI) , natural language processing (NLP), chatbots in BFSI, retail, and e-commerce, advancements in quantum computing is anticipated to bode well for market growth over the next few years.

For enterprises, accumulating more data means gaining more insights. The value of ‘data’, comprising sensitive information like business plans, intellectual property, correspondence, customer records, etc. has grown over the years, considering the critical insights that it can provide to business owners. AI in this regard help firms generate key insights from data that would otherwise be impossible to uncover. Having such insights helps enterprises to make data-driven decisions, realize data-led innovation, develop new products and services serving customer needs, build business strategies, enhance customers engagement, and automate internal processes. Organizations that deploy AI can achieve step-function improvements in business processes throughout their value chain, resulting in increased business resilience, greater efficiency, improved profitability, and reduced environmental impact.  Organizations can also leverage AI as a core enabler of digitalization.

Today, organizations across virtually every industry are deploying enterprise AI applications to address a broad range of use cases across the value chain, from predictive maintenance for a vast array of industrial assets – including aircraft, manufacturing equipment, power generation, and transmission assets, and oil and gas production equipment (compressors, pumps, valves, etc.) – to inventory optimization, fraud detection, anti-money laundering, securities lending optimization, customer retention, and more.

Artificial Intelligence Market Outlook, 2021-2026 ($ Billion)

Artificial Intelligence Market Outlook, 2021-2026 ($ Billion)

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Technology companies are increasingly implementing artificial intelligence in a wide variety of applications including autonomous cars, security systems, virtual assistants, disease detection, gaming, and others. Major companies such as International Business Machines Corp (IBM), Microsoft Corporation, Alphabet Inc, Intel Corp, Apple Inc are investing heavily in the research, development, and implementation of AI technology across industries. As of October 2022, Alphabet Inc. was in talks with Cohere Inc., a developer of natural language processing software to invest $200 million.

The adoption of AI around the globe is anticipated to be significantly impacted by developments in machine learning (ML). Businesses have incorporated ML into platforms or predictive data models that analyse behavioural data. Applications range from identifying bank fraud to determining a person’s credit worthiness, stopping cyberattacks, and displaying tailored advertisements to customers. The ability to personalise marketing efforts depending on linguistic settings, such as social media posts, emails, customer service contacts, and product evaluations, is made possible by natural language processing (NLP), a key application of machine learning (ML). Machines may learn new words and recognise word patterns in spoken language by using NLP algorithms, which can help them become more accurate over time. They can infer a customer’s preferences and purchasing intent by doing this.

The disruption caused by COVID-19 is accelerating the adoption of AI across all industries. For example, according to GlobalData’s 2021 Global Emerging Tech Trends survey, more than 75% of businesses believe AI has played a role in weathering the COVID-19 pandemic. Conversational platforms have become one of the more profitable areas over the past two years due to increased demand for support services. The pandemic has also accelerated AI research in the field of federated learning, enabling collaboration on models without disclosing confidential information.

Market Size 2023 $97 billion
Market Size 2026 $163.6 billion
CAGR 19% from 2022 to 2026
Forecast Period 2022-2026
Historic Data 2021
Product/Service Segment Specialized AI applications, AI hardware, AI platforms, and AI consulting and support services
Vertical Segments BFSI, Communication, Construction, Consumer Goods, Education, Energy, Government, Healthcare, Information Technology, Manufacturing, Media, Medical Devices, Mining, Pharmaceuticals, Retail, Transport and Logistics, Travel and Leisure, Utilities, Food Service, and Others.
Enterprise Size Band  Micro (Less than 50), Small (51-250), Medium (251-1000), Large (1001-4999), Very Large (5000+)
Leading Companies IBM Corporation, Microsoft Corporation, Alphabet Inc., Intel Corporation, Apple Inc, Advanced Micro Devices Inc (AMD), Alibaba, SenseTime Group Ltd. (SenseTime), Alteryx Inc, and SparkCognition Inc.

Artificial Intelligence Market Analysis by Product/Service

Based on Product/Service, the AI market has been categorized into Specialized AI applications, AI Consulting Services, AI Hardware, and AI platforms. Of the four AI product/service segments, the Specialized AI applications segment will have the largest share of revenue opportunity through 2021-2026. The Specialized AI applications segment will remain the largest revenue contributing segment through 2026.

Widespread integration and use of AI in specialized software applications and platforms such as image recognition, speech recognition, computer vision applications, natural language processing, sentiment analysis, risk management, content workflow management, and context awareness will especially drive revenue prospects for the specialized AI applications segment.

Artificial Intelligence Market Share by Product/Service, 2023 (%)

Artificial Intelligence Market Share by Product/Service, 2023 (%)

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Furthermore, the Specialized AI application segment is expected to account for above 35% of the overall AI market size by 2023. The market growth can be attributed to the COVID-19 disruption that accelerated the adoption of AI-driven horizontal business process applications such as enterprise risk management, collaborations to increase the productivity and efficiency of enterprises across the verticals, and content workflow management.

Artificial Intelligence Market Analysis by Enterprise Size Band

The large enterprise group includes companies with a workforce strength of more than 1000 employees. Over the course of the projection period, the category is expected to retain its dominance and take more than 50% of the market. Over the course of the forecast period, the market is expected to be driven by rapid digital business operations transformation and high financial capability to move from old to sophisticated application systems to streamline business function. The market expansion over the forecast period is also anticipated to benefit from increasing investment in AI-driven data science, big data, and machine learning approaches to provide data-led strategic decisions for its clients.

Artificial Intelligence Market Share by Enterprise Size Band, 2023 (%)

Artificial Intelligence Market Share by Enterprise Size Band, 2023 (%)

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The MSMEs segment is expected to be the fastest growing segment over the forecast period exceeding over 14% CAGR over the forecast period. However, considering the current scenario, low seed funding from investors to startups owing to a high degree of uncertainty over the global recession is expected to be one of the bottlenecks for market growth over the forecast period. Furthermore, the MSMEs segment continues to witness double-digit growth over the forecast period. This is because MSMEs prefer outsourcing AI services to consulting firms owing to limited IT budgets, vulnerable infrastructure, and lack of skilled resources.

Artificial Intelligence Market Analysis by Vertical

Based on vertical, the AI market size has been categorized into BFSI, communication, construction, consumer goods, education, energy, government, healthcare, information technology, manufacturing, media, medical devices, mining, pharmaceuticals, retail, transport and logistics, and others. Among these, BFSI, healthcare, retail, government, and information technology are the top 5 verticals and contributing major share.

The BFSI segment will capture a major share by 2023. One of the reasons promoting market expansion over the projection period is the widespread implementation of natural language processing (NLP), machine learning (ML), predictive analytics, and chatbots in retail banking, financial markets, and the insurance industry. Additionally, the spike in demand for AI-enabled biometrics like fingerprint and facial recognition in payment transactions is anticipated to speed up market expansion throughout the course of the projected period.

Artificial Intelligence Market Share by Vertical, 2023 (%)

Artificial Intelligence Market Share by Vertical, 2023 (%)

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One of the profitable industries for AI is the healthcare industry. Wearable technology, robotic surgery, automated diagnostics, virtual health assistants, improved compliance monitoring, and improved document review processes are some of the application areas. Healthcare organizations have adopted artificial intelligence technology as a result of the COVID-19 disruptions, which have further encouraged them to address problems from the first COVID wave. Early infection identification and diagnosis, contact tracking, the creation of medications and vaccines, and training of medical personnel are a few applications where artificial intelligence has aided in the fight against COVID-19 instances.

Artificial Intelligence Market Analysis by Region

North America accounted for the largest share of the total artificial intelligence market opportunity in 2023, the region will remain the leading revenue contributor over the forecast period. North America has one of the highest numbers of AI/ML-related startups as well as several established technology companies looking to embed and utilize AI in their existing offerings. Its growth will slightly be tapered as the AI landscape in the region and particularly in the US starts heading towards maturity from the early growth stage.

The US contributes the largest share of the AI revenue estimated for North America in 2023. This is mainly because the country hosts some of the largest tech companies like Apple, Google, IBM, and Microsoft, which have played a major role in the development and adoption of AI technology. The country hosts many tech startups with a strong focus on developing AI products and services. Government initiatives to drive the development and adoption of AI and the steady flow of investments from both government and private establishments in the research and development of AI technology for use in various applications also make the US a major market for AI products and services.

Well-established industry sectors in the US, especially banking, financial services, and insurance (BFSI), automotive, and healthcare industries have been adding significant demand for AI technology in the country. Most of the leading BFSI, automotive, and pharmaceutical companies in the country have already been leveraging the power of AI in a range of applications, including process automation, customer experience management, etc.

Artificial Intelligence Market Share by Vertical, 2023 (%)

Artificial Intelligence Market Share by Vertical, 2023 (%)

Asia Pacific will continue to remain the second largest and the most attractive regional market for artificial intelligence through the forecast. The growth in the Asia Pacific region will largely be driven by a mix of institutional support to AI/ML commercialization by governments of countries like China, South Korea, and India, as well as by rapid growth in the utilization of AI/ML by technology-focused companies in the region across sectors such as e-commerce, manufacturing, and financial services.

Artificial Intelligence Market – Competitive Landscape

The AI market landscape is highly fragmented and includes numerous well-known companies from around the world, including IBM Corporation, NVIDIA, Alphabet Inc., Microsoft Corporation, and Amazon Web Services. These vendors are heavily investing in a variety of AI methodologies, with conversational platforms technology being the most promising. Over the past two years, the market has seen a surge in agreements, partnerships, and mergers and acquisitions (M&A) from both supplier and demand side market participants For instance, in March 2022, Microsoft acquired Nuance Communications, Inc, a technology company that offers conversational artificial intelligence (AI) and ambient clinical intelligence solutions. Considering these factors, the market competition is expected to be much more intense over the next few years.

Leading Players in the Artificial Intelligence Market

  • IBM Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Intel Corporation,
  • Apple Inc,
  • Advanced Micro Devices Inc (AMD)
  • Alibaba
  • SenseTime Group Ltd. (SenseTime)
  • Alteryx Inc
  • SparkCognition Inc.

Other Artificial Intelligence Market Vendors Mentioned

Nvidia, AWS, Samsung, SONY Corporation, Huawei Technology Co. Ltd, Tencent, Graphcore, ABB, Wolfram, Oracle, SAS, SAP SE, Baidu, Salesforce, and BigML.

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Artificial Intelligence Market Scope

GlobalData Plc has segmented the artificial intelligence market report by product/services, vertical, enterprise size band, and region:

Artificial Intelligence Market – Revenue Opportunity Forecast, by Product/Service Segments 2021-2026 (US$ million)

  • Specialized AI applications
  • AI hardware
  • AI platforms
  • AI consulting & support services

Artificial Intelligence Market – Revenue Opportunity Forecast by Vertical Industry Segments, 2021-2026 (US$ million)

  • BFSI
  • Healthcare
  • Retail
  • Government
  • Information Technology
  • Communication
  • Consumer Goods
  • Transport and Logistics
  • Manufacturing
  • Energy
  • Utilities
  • Construction
  • Education
  • Media
  • Pharmaceuticals
  • Others

Artificial Intelligence Market – Revenue Opportunity Forecast by Enterprise Size Band, 2021-2026

  • Large Enterprise
  • MSME 

Artificial Intelligence Market – Revenue Opportunity Forecast by Regions, 2021-2026 (US$ million)

  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • North America
    • US
    • Canada
    • Mexico
  • South & Central America
    • Brazil
    • Argentina
    • Chile
    • Colombia
    • Peru
    • Rest of South & Central America
  • Western Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Netherlands
    • Others
  • Central & Eastern Europe
    • Russia
    • Turkey
    • Rest of Central & Eastern Europe
  • Middle East & Africa
    • United Arab Emirates
    • South Africa
    • Saudi Arabia
    • Kuwait
    • Qatar
    • Rest of MEA

Scope

The market intelligence report provides an in-depth analysis of the following –

  • AI market outlook: analysis as well as historical figures and forecasts of revenue opportunities from the Specialized AI applications, AI platforms, AI hardware, and AI consulting and support services.
  • AI market outlook: analysis as well as historical figures and forecasts of revenue opportunities from the key vertical industry segments.
  • AI market outlook: analysis as well as historical figures and forecasts of revenue opportunities from the enterprise size band perspective.
  • The competitive landscape: an examination of the positioning of leading players in the AI market.
  • Company snapshots: analysis of the market position of leading service providers in the AI market.
  • Underlying assumptions behind our published base-case forecasts, as well as potential market developments that would alter, either positively or negatively, our base-case outlook.

Reasons to Buy

  • This market intelligence report offers a thorough, forward-looking analysis of the AI market and key opportunities in a concise format to help executives build proactive and profitable growth strategies.
  • Accompanying GlobalData’s Forecast products, the report examines the assumptions and drivers behind ongoing and upcoming trends in global AI markets.
  • The report also highlights key platform/service segments (Specialized AI applications, AI platforms, AI hardware, and AI consulting and support services), vertical industries (BFSI, Communication, Construction, Consumer Goods, Education, Energy, Government, Healthcare, Information Technology, Manufacturing, Media, Medical Devices, Mining, Pharmaceuticals, Retail, Transport and Logistics, Travel and Leisure, Utilities, Food Service and Others), and enterprise size band (Micro, small, medium, large, and very large)
  • With more than 20 charts and tables, the report is designed for an executive-level audience, boasting presentation quality.
  • The report provides an easily digestible market assessment for decision-makers built around in-depth information gathered from local market players, which enables executives to quickly get up to speed with the current and emerging trends in AI markets.
  • The broad perspective of the report coupled with comprehensive, actionable detail will help AI hardware & software vendors, service providers, and other AI players succeed in the growing AI market globally.

Table of Contents

Table of Contents

CHAPTER 01 Executive Summary

1.1 AI Market Snapshot, 2021-2026

CHAPTER 02 Research scope & Segmentation

2.1 Market Definitions – Product/Service Segments

2.2 Market Definitions – Vertical Segments

2.3 Market Definitions – Enterprise Size Bands

CHAPTER 03 Artificial Intelligence (AI) – Technology Briefing

3.1 What is AI?

3.2 AI Industry Value Chain Analysis

3.2.1 Machine Learning – Key Leaders And Disruptors

3.2.2 Data Science – Key Leaders And Disruptors

3.2.3 Conversational Platforms – Key Leaders And Disruptors

3.2.4 Computer Vision – Key Leaders And Disruptors

3.2.5 AI Chips – Key Leaders And Disruptors

3.2.6 Smart Robots – Key Leaders And Disruptors

3.2.7 Context-Aware Computing – Key Leaders And Disruptors

3.3 AI Market Structure – PORTER’s Analysis

CHAPTER 04 Market Overview

4.1 Global Artificial Intelligence Market Outlook, 2021-26 (US$ Billion)

4.2 Global AI Revenue Opportunity Analysis, 2021-26 (US$ Billion)

4.3 Global AI Revenue Opportunity Analysis, By Product/Services, 2021-26 (US$ Million)

4.4 Global AI Revenue Opportunity Analysis, By Region, 2021-26 (US$ Million)

4.5 Global AI Revenue Opportunity Analysis, By Vertical, 2021-26 (US$ Million)

4.6 Global AI Revenue Opportunity Analysis, By Enterprise size band, 2021-26 (US$ Million)

CHAPTER 05 Market Dynamics

5.1 M&A Activity Dashboard, 2021-2022YTD

5.2 Job Analytics Dashboard, 2021-2022YTD

5.3 Patent Analytics Dashboard, 2021-2022YTD

5.4 Venture Financing (VF) Activity Dashboard, 2021-2022YTD

5.5 Social Media Analytics Dashboard, 2021-2022YTD

5.6 Market Trends

5.6.1 Integration with Metaverse to open new possibilities for AI

5.6.1.1 AI – A Vital Tool for Metaverse

5.6.1.2 Convergence of AI technologies with Metaverse

5.6.1.3 Deep Learning is the most popular AI investment theme in Metaverse

5.6.1.4 What are players up to?

5.6.2 Explainable AI (XAI) Gains Attention

5.6.2.1 What is Explainable AI (XAI)?

5.6.2.2 Why is XAI Gaining Industry Attention?

5.6.3 Doing more with less – AI Applications on Small Data Sets gaining ground

5.6.3.1 Artificial Intelligence No Longer Synonymous with Big Data

5.6.3.2 Approaches to Small Data

5.6.3.3 Transfer Learning – A Widely Researched Approach to Small Data

5.6.4 Quantum computing developments to empower AI further

5.6.5 AI Mergers & Acquisitions by Major Technology Players are on the rise

5.6.6 Strategic Collaborations & Partnerships on the rise

5.6.7 R&D and Patent Activity on the Rise – To Drive New Opportunities

5.6.8 Machine Learning – the Most Talked About AI Technology

5.6.9 ML is integral to data-driven businesses

5.6.10 Automated machine learning (AutoML)

5.6.11 Machine Learning Ops (MLOps)

5.6.12 Next-generation chips

5.6.13 AIoT on the edge

5.6.14 Regulatory divergence

5.7 Market Drivers

5.7.1 AI to move from Hype to Reality – Survey

5.7.2 COVID-19 Disruptions have led a massive surge in adoption of AI

5.7.3 COVID-19 boosts demand for virtual agents

5.7.4 AI is increasingly being integrated into Security Solutions

5.7.4.1 AI/ML crucial for an automated IT security ecosystem

5.7.4.2 Rising Sophistication of cyberattacks to drive demand for AI/ML Led IT Security Solutions

5.7.4.3 Short Supply of Skilled IT Security Resources to push Demand for AI/ML IT Security Solutions

5.7.4.4 Threat Detection – A Typical AI/ML IT Security implementation

5.7.5 Facial recognition (FR)

5.7.6 AI-Led Object detection is a crucial ingredient in autonomous vehicles (AV)

5.7.7 Video recognition helps curb copyright infringement

5.7.8 Machine vision will be front and center of the factory of the future

5.7.9 More countries are making AI a priority, US Leads the Way

5.8 Market Challenges Analysis

5.8.1 Limited Supply of Skilled Resources

5.8.2 Data Science Talent is scarce and in high demand

5.8.3 AI-Generated Cybersecurity Threats on the Rise

5.8.4 Lack of Trust in AI-led Decision Making

5.8.5 Responsible AI and Federated Learning – Need of the hour

5.8.6 Federated learning – Solving Data Privacy Concerns

CHAPTER 06 Product/Service Outlook – Deep Dive

6.1 Global Specialized AI Applications Revenue Opportunity, 2021-26 (US$ Million)

6.1.1 Global Specialized AI Applications Revenue Opportunity, By Vertical, 2021-26 (US$ Million)

6.1.2 Global Specialized AI Applications Revenue Opportunity, By Enterprise Size Band, 2021-26 (US$ Million)

6.1.3 Global Specialised AI Applications Revenue Opportunity, By Region, 2021-26 (US$ Million)

6.2 Global AI Consulting And Support Services Revenue Opportunity, 2021-26 (US$ Million)

6.2.1 Global AI Consulting And Support Services Revenue Opportunity, By Vertical, 2021-26 (US$ Million)

6.2.2 Global AI Consulting And Support Services Revenue Opportunity, Enterprise Size Band, 2021-26 (US$ Million)

6.2.3 Global AI Consulting And Support Services Revenue Opportunity, By Region, 2021-26 (US$ Million)

6.3 Global AI Hardware Revenue Opportunity, 2021-26 (US$ Million)

6.3.1 Global AI Hardware Revenue Opportunity, By Vertical, 2021-26 (US$ Million)

6.3.2 Global AI Hardware Revenue Opportunity, By Enterprise Size Band, 2021-26 (US$ Million)

6.3.3 Global AI Hardware Revenue Opportunity, By Region, 2021-26 (US$ Million)

6.4 Global AI Platforms Revenue Opportunity, 2021-26 (US$ Million)

6.4.1 Global AI Platforms Revenue Opportunity, By Region, 2021-26 (US$ Million)

6.4.2 Global AI Platforms Revenue Opportunity, By Enterprise Size Band, 2021-26 (US$ Million)

6.4.3 Global AI Platforms Revenue Opportunity, By Region, 2021-26 (US$ Million)

CHAPTER 07 Vertical Markets – Deep Dive

7.1 Global AI Market Revenue Opportunity In BFSI Sector, 2021-26 (US$ Billion)

7.2 Global AI Market Revenue Opportunity In Healthcare Sector, 2021-26 (US$ Billion)

7.3 Global AI Market Revenue Opportunity In Retail Sector, 2021-26 (US$ Billion)

7.4 Global AI Market Revenue Opportunity In Government Sector, 2021-26 (US$ Billion)

7.5 Global AI Market Revenue Opportunity In IT Sector, 2021-26 (US$ Billion)

CHAPTER 08 Enterprise End-User Segment – Deep Dive

8.1 Global AI Revenue Opportunity In Large Enterprise Segment, 2021-26 (US$ Billion)

8.2 Global AI Revenue Opportunity In MSME Segment, 2021-26 (US$ Billion)

CHAPTER 09 Regional Outlook – Deep Dive

9.1 North America

9.1.1 North America AI Revenue Opportunity, 2021-26 (US$ Million)

9.1.2 North America AI Revenue Opportunity, By Country, 2021-26 (US$ MILLION)

9.2 APAC

9.2.1 APAC AI Revenue Opportunity, 2021-26 (US$ Million)

9.2.2 APAC AI Revenue Opportunity, By Country, 2021-26 (US$ Million)

9.3 Western Europe

9.3.1 Western Europe AI Revenue Opportunity, 2021-26 (US$ Million)

9.3.2 Western Europe AI Revenue Opportunity, By Country, 2021-26 (US$ Million)

9.4 Middle East & Africa

9.4.1 Middle East & Africa AI Revenue Opportunity, 2021-26 (US$ Million)

9.4.2 Middle East & Africa AI Revenue Opportunity, By Country, 2021-26 (US$ Million)

9.5 Central & Eastern Europe

9.5.1 Central & Eastern Europe AI Revenue Opportunity, 2021-26 (US$ Million)

9.5.2 Central & Eastern Europe AI Revenue Opportunity, By Country, 2021-26 (US$ Million)

9.6 South & Central America

9.6.1 South & Central America AI Revenue Opportunity, 2021-26 (US$ Million)

9.6.2 South & Central America AI Revenue Opportunity, By Country, 2021-26 (US$ Million)

CHAPTER 010 Competitive Landscape

10.1 AI Market – Vendor Growth Innovation Matrix

10.2 AI Market – Company Profiles

10.2.1 INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)

10.2.1.1 COMPANY OVERVIEW

10.2.1.2 FINANCIAL PERFORMANCE

10.2.1.3 RECENT INNOVATIONS AND DEALS

10.2.2 MICROSOFT CORP

10.2.2.1 COMPANY OVERVIEW

10.2.2.2 FINANCIAL PERFORMANCE

10.2.2.3 RECENT INNOVATIONS AND DEALS

10.2.3 ALPHABET INC

10.2.3.1 COMPANY OVERVIEW

10.2.3.2 FINANCIAL PERFORMANCE

10.2.3.3 RECENT INNOVATIONS AND DEALS

10.2.4 INTEL CORP

10.2.4.1 COMPANY OVERVIEW

10.2.4.2 FINANCIAL PERFORMANCE

10.2.4.3 RECENT INNOVATIONS AND DEALS

10.2.5 APPLE INC

10.2.5.1 COMPANY OVERVIEW

10.2.5.2 FINANCIAL PERFORMANCE

10.2.5.3 RECENT INNOVATIONS AND DEALS

10.2.6 ADVANCED MICRO DEVICES INC

10.2.6.1 COMPANY OVERVIEW 173

10.2.6.2 FINANCIAL PERFORMANCE

10.2.6.3 RECENT INNOVATIONS AND DEALS

10.2.7 ALIBABA GROUP HOLDING LTD

10.2.7.1 COMPANY OVERVIEW 174

10.2.7.2 FINANCIAL PERFORMANCE

10.2.7.3 RECENT INNOVATIONS AND DEALS

10.2.8 SENSETIME GROUP LTD

10.2.8.1 COMPANY OVERVIEW

10.2.8.2 FINANCIAL PERFORMANCE

10.2.8.3 RECENT INNOVATIONS AND DEALS

10.2.9 ALTERYX INC

10.2.9.1 COMPANY OVERVIEW

10.2.9.2 FINANCIAL PERFORMANCE

10.2.9.3 RECENT INNOVATIONS AND DEALS

10.2.10 SPARKCOGNITION INC

10.2.10.1 COMPANY OVERVIEW

10.2.10.2 RECENT INNOVATIONS AND DEALS

10.3 Other Vendors in the AI Market

10.3.1 NVIDIA CORP

10.3.2 AMAZON.COM INC

10.3.3 SAMSUNG ELECTRONICS CO LTD

10.3.4 SONY GROUP CORP

10.3.5 HUAWEI TECHNOLOGIES CO LTS

10.3.6 TENCENT HOLDINGS LTD

10.3.7 GRAPHCORE LTD

10.3.8 ABB LTD

10.3.9 WOLFRAM RESEARCH INC

10.3.10 ORACLE CORP

10.3.11 SAS

10.3.12 SAP SE

10.3.13 BAIDU INC

10.3.14 SALESFORCE INC

10.3.15 BIGML

10.3.16 H2O.AI INC

10.3.17 COGNITIVE SCALE INC

10.3.18 DOTDATA

10.3.19 AI.REVERIE

10.3.20 PERCEPTI LABS

10.3.21 ALGORITHMIA

10.3.22 RAPIDMINER INC

10.3.23 KNIME

CHAPTER 011 Methodology and Scope

11.1 Information Procurement

11.2 Information Analysis

11.3 Market Opportunity Forecast – Research Methodology & Formulation

11.4 Methodology for Market Activity Index

11.5 Additional Resources

11.5.1 MARKET DEFINITIONS – PRODUCT/SERVICE SEGMENTS

11.8 Market Definitions – Competitive Index

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Table

Table 1 Key Trends Overview

Table 2 Research Scope & Segmentation

Table 3 Global Artificial Intelligence Market (US$ million) – Revenue Opportunity Forecast, by product/service segments 2021-2026

Table 4 Global AI Market – Revenue Opportunity Forecast by Regions, 2021-2026 (US$ million)

Table 5 Global AI Market – Revenue Opportunity Forecast by Vertical Industry Segments, 2021-2026 (US$ million)

Table 6 Global AI Market – Revenue Opportunity Forecast by enterprise size band, 2021-2026

Table 7 Ongoing Developments in the Field of AI

Table 8 Recent Developments to XAI

Table 9 Use of Small Data Approaches by Leading Organizations

Table 10 Noteworthy Developments in the Field of Quantum Computing for AI

Table 11 Significant M&A Deals Made by Tech Giants In 2022 and 2021

Table 12 Recent Examples of key partnerships in AI market

Table 13 Recent Developments to AutoML

Table 14 AI & ML in Cybersecurity – Recent Developments

Table 15 Industry Leaders and their Responsible AI Practices

Table 16 Global AI Market – Products by CAGR %, 2021-2026

Table 17 Global Specialized AI Applications Market – Revenue Opportunity Forecast by Vertical Segments, 2021-2026 (US$ million)

Table 18 Global Specialized AI Applications Market – Revenue Opportunity Forecast by End-User Enterprise Size Band, 2021-2026 (US$ million)

Table 19 Global Specialized AI Applications Market – Revenue Opportunity Forecast by Region, 2021-2026

Table 20 Global AI Consulting and Support Services Market – Revenue Opportunity Forecast by Vertical Segments, 2021-2026 (US$ million)

Table 21 Global AI Consulting and Support Services Market – Revenue Opportunity Forecast by End-User Enterprise Size Band, 2021-2026 (US$ million)

Table 22 Global AI Consulting and Support Services Market – Revenue Opportunity Forecast by Region, 2021-2026 (US$ million)

Table 23 Global AI Hardware Market – Revenue Opportunity Forecast by Vertical Segments, 2021-2026 (US$ million)

Table 24 Global AI Hardware Market – Revenue Opportunity Forecast by End-User Enterprise Size Bands, 2021-2026(US$ million)

Table 25 Global AI Hardware Market – Revenue Opportunity Forecast by Region, 2021-2026(US$ million)

Table 26 Global AI Platforms Market – Revenue Opportunity Forecast by Vertical Segments, 2021-2026 (US$ million)

Table 27 Global AI Platforms Market – Revenue Opportunity Forecast by End-User Enterprise Size Band, 2021-2026 (US$ million)

Table 28 Global AI Platforms Market – Revenue Opportunity Forecast by Region, 2021-2026 (US$ million)

Table 29 Global AI Market – Top 5 Verticals by Revenue CAGR %, 2021-2026

Table 30 Global Artificial Intelligence Market – Regional Markets in the order of by Revenue CAGR %, 2021-2026

Table 31 North America AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Table 32 APAC AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Table 33 Western Europe AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Table 34 Middle East & Africa AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Table 35 Central & Eastern Europe AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Table 36 South & Central America AI Market– Revenue Opportunity Forecast by Country, 2021-2026 (US$ million)

Figures

Fig.1 Artificial Intelligence Market Snapshot

Fig.2 Artificial Intelligence Sector Overview

Fig.3 Artificial Intelligence Ecosystem

Fig.4 Artificial Intelligence (AI) Value Chain

Fig.5 Key Components of Machine Learning

Fig.6 Key companies in ML space

Fig.7 Machine Learning: Leaders and Disruptors

Fig.8 Data Science: Leaders and Disruptors

Fig.9 Conversational Platforms: Types of Vendors

Fig.10 Conversational Platforms: Leaders and Disruptors

Fig.11 Key Computer Vision Software Technologies

Fig.12 Computer Vision: Leaders and Disruptors

Fig.13 Types of AI Chips

Fig.14 AI Chips: Leaders and Disruptors

Fig.15 Categories of Smart Robots

Fig.16 Smart Robots: Leaders and Disruptors

Fig.17 Context-aware Computing: Leaders and Disruptors

Fig.18 Global AI Market – PORTER’s Five Force Analysis

Fig.19 Global AI Market Outlook

Fig.20 Artificial Intelligence (AI) Market Activity

Fig.21 Global Artificial Intelligence (AI) Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.22 Global AI Market – Revenue Share Analysis by Product/Service Segments (2021-2026), (US$ Million)

Fig.23 Global AI Market – Revenue Share Analysis by Regional Markets (2021-2026), (US$ Million)

Fig.24 Top 5 Fastest Growing Regional Markets for AI, by Revenue CAGR % 2021 – 2026

Fig.25 Top 5 Largest Vertical Segments for Artificial Intelligence, by Revenue Share (2021-2026) , (US$ Million)

Fig.26 Top 5 Fastest Growing Verticals, by Revenue CAGR % 2021 – 2026

Fig.27 Global AI Market – Revenue Share Analysis by End-User Enterprise Size Band (2021 & 2026), (US$ Million)

Fig.28 Artificial Intelligence (AI) – M&A Activity Dashboard

Fig.29 Artificial Intelligence (AI) – Job Analytics Dashboard

Fig.30 Artificial Intelligence (AI) – Patent Analytics Dashboard

Fig.31 Artificial Intelligence (AI) – Venture Financing (VF) Activity Dashboard

Fig.32 Artificial Intelligence (AI) – Social Media Analytics Dashboard

Fig.33 AI sees the highest growth in Q1’22 and is expected to continue the momentum

Fig.34 AI sees the highest growth in Q1’22 and is expected to continue the momentum

Fig.35 Most Mentioned Concepts Related to AI on Social Media, January 2021 to September 2022

Fig.36 How did your enterprise budget for disruptive technologies like artificial intelligence (AI) & machine learning (ML), automation, Internet of things (IoT), and Edge Computing change from 2021 to 2022?

Fig.37 How has your sentiment to AI changed in the last year?

Fig.38 How much of AI technology is hype or substance?

Fig.39 How much will AI disrupt your industry?

Fig.40 When will AI start to tangibly disrupt your industry?

Fig.41 Sector-specific Use Cases of AI

Fig.42 Artificial Intelligence (AI) Job Vacancy Statistics

Fig.43 Global AI Market – Percentage Share Breakdown of Revenue Opportunity by Product Types, 2021-2026

Fig.44 Global AI Market – Products by Revenue Share, 2021

Fig.45 Global AI Market – Product Attractiveness

Fig.46 Global Specialized AI Applications Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.47 Use Cases of Conversational AI

Fig.48 Use Cases of Computer Vision

Fig.49 Global Specialized AI Market – Revenue Share Analysis, By Vertical, 2021 & 2026, (US$ Million)

Fig.50 Global Specialized AI Applications Market – Revenue Share Analysis, By End-User Enterprise Size Band, 2021 & 2026, (US$ Million)

Fig.51 Global Specialized AI applications Market – Revenue Share Analysis, By Region, 2021 & 2026, (US$ Million)

Fig.52 Global AI Consulting and Support Services Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.53 Global AI Consulting and Support Services Market – Revenue Share Analysis, By Vertical, 2021 & 2026, (US$ Million)

Fig.54 Global AI Consulting and Support Services Market – Revenue Share Analysis, By End-User Enterprise Size Band, 2021 & 2026, (US$ Million)

Fig.55 Global AI Consulting and Support Services Market – Revenue Share Analysis, By Region, 2021 & 2026, (US$ Million)

Fig.56 Global AI Hardware Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.57 Global AI Hardware Market – Revenue Share Analysis, By Vertical, 2021 & 2026, (US$ Million)

Fig.58 Global AI Hardware Market – Revenue Share Analysis, By End-User Enterprise Size Band, 2021 & 2026, (US$ Million)

Fig.59 Global AI Hardware Market – Revenue Share Analysis, By Region, 2021 & 2026, (US$ Million)

Fig.60 Global AI Platforms Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.61 Global AI Platforms Market – Revenue Share Analysis, By Vertical, 2021 & 2026, (US$ Million)

Fig.62 Global AI Platforms Market – Revenue Share Analysis, By End-User Enterprise Size Band, 2021 & 2026, (US$ Million)

Fig.63 Global AI Platforms Market – Revenue Share Analysis, By Region, 2021 & 2026, (US$ Million)

Fig.64 Global AI Market – Percentage Share Breakdown of Revenue Opportunity, by Key Vertical Industries, 2021-2026, (US$ Million)

Fig.65 Global AI Market – Top 5 Verticals by Revenue Share, 2021

Fig.66 Global AI Market – Vertical Sector Attractiveness for AI Solutions & Services

Fig.67 Global AI Market in BFSI Sector – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.68 Global AI Market in Healthcare Sector – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.69 Global AI Market in Retail Sector – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.70 Global AI Market in Government Sector – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.71 Global AI Market in IT Sector – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.72 Global AI Market in Large Enterprises – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.73 Global AI Market in MSME Segment – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.74 Global AI Market – Percentage Share Breakdown of Revenue Opportunity by Region, 2021-2026, (US$ Million)

Fig.75 Global Artificial Intelligence Market – Regional Markets in the order of Revenue Share, 2021, (US$ Million)

Fig.76 Global Artificial Intelligence Market – Region Attractiveness

Fig.77 Leading Countries in the Artificial Intelligence Market, 2021

Fig.78 North America AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.79 North America Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.80 North America AI Market – Revenue Share Analysis, By Country, 2021 & 2026, (US$ Million)

Fig.81 APAC AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.82 Asia Pacific Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.83 APAC AI Market – Revenue Share Analysis, By Country, 2021 & 2026, (US$ Million)

Fig.84 Western Europe AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.85 Western Europe Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.86 Western Europe AI Market – Revenue Share Analysis, By Country, 2021 & 2026

Fig.87 Middle East & Africa AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.88 Middle East & Africa Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.89 Middle East & Africa AI Market – Revenue Share Analysis, By Country, 2021 & 2026

Fig.90 Central & Eastern Europe AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.91 Central & Eastern Europe Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.92 Central & Eastern Europe AI Market – Revenue Share Analysis, By Country, 2021 & 2026

Fig.93 South & Central America AI Market – Revenue Opportunity Forecast, 2021-2026, (US$ Million)

Fig.94 South & Central America Artificial Intelligence Market – Leading Verticals and Market Shares of Products, 2021

Fig.95 South & Central America AI Market – Revenue Share Analysis, By Country, 2021 & 2026, (US$ Million)

Fig.96 Global AI Market – Growth-Innovation Matrix

Fig.97 Data Analysis Model

Fig.98 ICT Survey Process

Frequently asked questions

  • What will be the Artificial Intelligence market size in 2023?

    The Artificial Intelligence market size will be valued at $97 billion by 2023.

  • What is the AI market growth rate?

    The AI market is expected to grow at a CAGR of more than 19% during the forecast period 2022-2026.

  • What are the key AI market drivers?

    A significant increase in demand for conversational platforms, advancement in quantum computing, a surge in demand for big data, data analytics, and machine learning, and their integration with AI to provide data-driven insights for customers are stimulating the AI market growth.

  • What are the key Artificial Intelligence market segments?

    Platform/Service Segments: Specialized AI applications, AI hardware, AI platforms, AI consulting, and support services

    Vertical Segments: BFSI, Healthcare, Retail, Government, Information Technology. and others,

    Enterprise Size Band Segments: Micro, Small & Medium Enterprises (MSME) and Large & Very Large Enterprises.

  • Which are the leading AI companies?

    The leading companies in the AI market are IBM Corporation, Microsoft Corporation, Alphabet Inc., Intel Corporation, Apple Inc, Advanced Micro Devices Inc (AMD), Alibaba, SenseTime Group Ltd. (SenseTime), Alteryx Inc, and SparkCognition Inc.

  • Is there a third level of segmentation in the report?

    GlobalData’s focus is on providing reliable and accurate data that is supported by robust research methodology. Our reports undergo rigorous quality checks and are based on primary and secondary research sources, ensuring that the numbers and insights provided are trustworthy.  However, despite the best efforts to gather comprehensive data, there could be instances where the available data is limited, making it challenging to provide third level segmentation. In such cases, GlobalData may choose to provide high-level insights and general trends rather than forcing segmentation that may not be backed by sufficient data. This approach ensures that the report’s overall quality and credibility are maintained.

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