Artificial Intelligence (AI) Engineering Market Size By Solution (Hardware [Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Central Processing Unit (CPU), Field-Programmable Gate Array (FPGA)], Software, Services), By Technology (Deep Learning, Machine Learning [Supervised Learning, Unsupervised Learning, Reinforcement Learning], Natural Language Processing (NLP) [Speech Recognition, Optical Character Recognition (OCR), Semantic Search, Sentiment Analysis]), By End-use (Retail, BFSI, IT and Telecommunication, Government and Public Sector, Manufacturing, Healthcare, Education and Research), By Deployment (On-Cloud, On-Premise), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2023 - 2032
Artificial Intelligence (AI) Engineering Market is slated to depict considerable growth through 2032 owing to surging adoption of smart devices in varied end-use industries. In addition, government emphasis on improving IT infrastructure, along with rigorous R&D initiatives towards AI integrated solutions, is likely to propel market growth over the forecast period.
The COVID-19 pandemic had a positive impact on the market dynamics as the penetration of smart devices such as smart home technologies increased drastically. Mounting integration of AI voice control features into smart home units, such as Alexa, Siri, and Google Assistant is aiding product penetration.
Moreover, the major players in the industry have been focusing on eliminating loopholes in AI technology and adopting collaborative partnership deals to strengthen their market position. For instance, in June 2021, Salesforce.com Inc., a software firm, announced an expansive partnership with Amazon Web Services (AWS) to develop and launch new intelligent applications.
The artificial intelligence engineering market has been bifurcated based on solutions, technology, end-use, deployment, and region.
Based on solutions, the artificial intelligence (AI) engineering industry has been segregated into hardware, software, and services. The services segment is expected to depict considerable demand through 2032 due to a positive outlook toward AI services among corporate companies to minimize operation costs and avoid regular maintenance.
With respect to technology, the AI engineering market has been classified into deep learning, machine learning, natural language processing (NLP), and computer vision. The computer vision segment held over 10% market share in 2022 on account of continuous efforts by market players to capitalize on the emerging automation trend. In September 2022, AWS collaborated with SK Telecom to develop computer vision AI services that aid customers in building and using computer vision applications.
Based on end-use, the artificial intelligence engineering market has been classified into retail, BFSI, IT and telecommunication, manufacturing, government and public sector, healthcare, education and research, and others. The BFSI sector captured more than 24% market share in 2022 and is set to showcase remarkable progress between 2023 and 2032. The segment growth is attributed to increasing customer interest in customized digital experiences, which is encouraging BFSI companies to invest in AI-based solutions.
In the regional context, the Latin America AI engineering market is primed to expand at over 33% CAGR over 2023-2032. The booming spread of automation and digitization in public and private sectors is augmenting LATAM market growth. For instance, in May 2022, the Brazilian government used AI to seek investments in science and technology projects.
On the other hand, the Middle East & Africa industry is poised to witness growth at more than 34% CAGR from 2023 to 2032 backed by growing investment in R&D programs, coupled with government support for the AI industry. Citing an instance, in March 2022, OurCrowd, an Israel-based venture firm, opened an AI-based R&D centre in Abu Dhabi.
- Chapter 1 Methodology & Scope
- 1.1 Scope & definitions
- 1.2 Methodology and forecast parameters
- 1.3 COVID-19 impact
- 1.3.1 North America
- 1.3.2 Europe
- 1.3.3 Asia Pacific
- 1.3.4 Latin America
- 1.3.5 Middle East & Africa
- 1.4 Impact of Russia Ukraine crisis
- 1.5 Data Sources
- 1.5.1 Secondary
- 1.5.2 Primary
- 1.6 Glossary
- Chapter 2 Executive Summary
- 2.1 AI engineering industry 360 degree synopsis, 2018 – 2032
- 2.2 Business trends
- 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
- 2.3 Regional trends
- 2.4 Cable type trends
- 2.5 Vehicle type trends
- 2.6 Technology trends
- Chapter 3 AI Engineering Industry Insights
- 3.1 Introduction
- 3.2 Impact of COVID-19 outbreak
- 3.2.1 By region
- 3.2.1.1 North America
- 3.2.1.2 Europe
- 3.2.1.3 Asia Pacific
- 3.2.1.4 Latin America
- 3.2.1.5 Middle East & Africa
- 3.2.2 Strategies by major players to regain pre-COVID level growth
- 3.3 Impact analysis of Russia-Ukraine war
- 3.4 AI engineering industry ecosystem analysis
- 3.4.1 Hardware developers
- 3.4.2 Software providers
- 3.4.3 Cloud platform and service providers
- 3.4.4 Integrators
- 3.4.5 Service providers
- 3.4.6 Distribution channel
- 3.4.7 End-users
- 3.4.8 Stakeholder profit margin analysis
- 3.4.9 Vendor matrix
- 3.5 Technology & innovation landscape
- 3.5.1 Cloud Computing
- 3.5.2 Autonomous mobility
- 3.6 Patent analysis
- 3.7 Investment portfolio
- 3.8 Industry news
- 3.8.1 North America
- 3.8.2 Europe
- 3.8.3 Asia Pacific
- 3.8.4 Latin America
- 3.8.5 Middle East & Africa
- 3.9 Regulatory landscape
- 3.9.1 International Standards
- 3.9.2 North America
- 3.9.3 Europe
- 3.9.4 Asia Pacific
- 3.9.5 Latin America
- 3.9.6 MEA
- 3.10 Industry impact forces
- 3.10.1 Growth drivers
- 3.10.1.1 Rising adoption of cloud-based applications
- 3.10.1.2 Government support for strengthening IT infrastructure
- 3.10.1.3 Increasing use of robotics in industries
- 3.10.1.4 New solutions launched by market players
- 3.10.1.5 Increasing adoption of smart devices
- 3.10.2 Industry pitfalls & challenges
- 3.10.2.1 Increase in cyber attacks
- 3.10.2.2 Shortage of skilled professionals
- 3.11 Growth potential analysis
- 3.12 Porter’s analysis
- 3.12.1 Bargaining power of suppliers
- 3.12.2 Bargaining power of buyers
- 3.12.3 The threat of new entrants
- 3.12.4 The threat of substitute
- 3.12.5 Competitive rivalry
- 3.13 PESTEL analysis
- 3.13.1 Political
- 3.13.2 Economic
- 3.13.3 Social
- 3.13.4 Technological
- 3.13.5 Legal
- 3.13.6 Environmental
- Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share, by revenue, 2022
- 4.2.1 Competitive analysis of major automotive data cables providers, 2022
- 4.2.1.1 Alphabet Inc.
- 4.2.1.2 Cisco Systems Inc.
- 4.2.1.3 IBM Corp.
- 4.2.1.4 Microsoft Corp.
- 4.2.1.5 Nvidia Corp.
- 4.2.1.6 Siemens AG
- 4.2.2 Competitive analysis of market innovators, 2022
- 4.2.2.1 Intel Corp.
- 4.2.2.2 Meta Platforms Inc.
- 4.2.2.3 Oracle Corp.
- 4.2.2.4 Salesforce.com Inc.
- 4.2.2.5 SAP SE
- 4.2.3 Vendor adoption matrix
- 4.2.4 Strategic outlook matrix
- Chapter 5 AI Engineering Market, By Solution
- 5.1 Key trends, by solution
- 5.2 Hardware
- 5.2.1 Market estimates and forecast, 2018 – 2032
- 5.2.2 CPU
- 5.2.2.1 Market estimates and forecast, 2018 – 2032
- 5.2.3 GPU
- 5.2.3.1 Market estimates and forecast, 2018 – 2032
- 5.2.4 FPGA
- 5.2.4.1 Market estimates and forecast, 2018 – 2032
- 5.2.5 ASIC
- 5.2.5.1 Market estimates and forecast, 2018 – 2032
- 5.3 Software
- 5.3.1 Market estimates and forecast, 2018 – 2032
- 5.4 Services
- 5.4.1 Market estimates and forecast, 2018 – 2032
- Chapter 6 AI Engineering Market, By Technology
- 6.1 Key trends, by technology
- 6.2 Deep Learning
- 6.2.1 Market estimates and forecast, 2018 – 2032
- 6.3 Machine Learning
- 6.3.1 Market estimates and forecast, 2018 – 2032
- 6.3.2 Supervised Learning
- 6.3.2.1 Market estimates and forecast, 2018 – 2032
- 6.3.3 Unsupervised Learning
- 6.3.3.1 Market estimates and forecast, 2018 – 2032
- 6.3.4 Reinforcement Learning
- 6.3.4.1 Market estimates and forecast, 2018 – 2032
- 6.4 Natural Language Processing (NLP)
- 6.4.1 Market estimates and forecast, 2018 – 2032
- 6.4.2 Speech Recognition
- 6.4.2.1 Market estimates and forecast, 2018 – 2032
- 6.4.3 Optical Character Recognition (OCR)
- 6.4.3.1 Market estimates and forecast, 2018 – 2032
- 6.4.4 Semantic Search
- 6.4.4.1 Market estimates and forecast, 2018 – 2032
- 6.4.5 Sentiment Analysis
- 6.4.5.1 Market estimates and forecast, 2018 – 2032
- 6.5 Computer Vision
- 6.5.1 Market estimates and forecast, 2018 – 2032
- Chapter 7 AI Engineering Market, By End-use
- 7.1 Key trends, by end-use
- 7.2 Retail
- 7.2.1 Market estimates and forecast, 2018 – 2032
- 7.3 BFSI
- 7.3.1 Market estimates and forecast, 2018 – 2032
- 7.4 IT and Telecommunication
- 7.4.1 Market estimates and forecast, 2018 – 2032
- 7.5 Government and Public Sector
- 7.5.1 Market estimates and forecast, 2018 – 2032
- 7.6 Manufacturing
- 7.6.1 Market estimates and forecast, 2018 – 2032
- 7.7 Healthcare
- 7.7.1 Market estimates and forecast, 2018 – 2032
- 7.8 Education and Research
- 7.8.1 Market estimates and forecast, 2018 – 2032
- 7.9 Others
- 7.9.1 Market estimates and forecast, 2018 – 2032
- Chapter 8 AI Engineering Market, By Deployment
- 8.1 Key trends, by deployment
- 8.2 On-cloud
- 8.2.1 Market estimates and forecast, 2018 – 2032
- 8.3 On-premise
- 8.3.1 Market estimates and forecast, 2018 – 2032
- Chapter 9 AI Engineering Market, By Region
- 9.1 Key trends, by region
- 9.2 North America
- 9.2.1 Market estimates and forecast, 2018 – 2032
- 9.2.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.2.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.2.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.2.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.2.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.2.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.2.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.2.6 U.S.
- 9.2.6.1 Market estimates and forecast, 2018 – 2032
- 9.2.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.2.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.2.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.2.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.2.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.2.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.2.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.2.7 Canada
- 9.2.7.1 Market estimates and forecast, 2018 – 2032
- 9.2.7.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.2.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.2.7.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.2.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.2.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.2.7.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.2.7.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3 Europe
- 9.3.1 Market estimates and forecast, 2018 – 2032
- 9.3.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.6 UK
- 9.3.6.1 Market estimates and forecast, 2018 – 2032
- 9.3.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.7 Germany
- 9.3.7.1 Market estimates and forecast, 2018 – 2032
- 9.3.7.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.7.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.7.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.7.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.8 France
- 9.3.8.1 Market estimates and forecast, 2018 – 2032
- 9.3.8.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.8.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.8.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.8.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.9 Spain
- 9.3.9.1 Market estimates and forecast, 2018 – 2032
- 9.3.9.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.9.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.9.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.9.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.9.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.9.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.9.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.10 Italy
- 9.3.10.1 Market estimates and forecast, 2018 – 2032
- 9.3.10.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.10.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.10.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.10.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.10.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.10.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.10.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.3.11 Spain
- 9.3.11.1 Market estimates and forecast, 2018 – 2032
- 9.3.11.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.3.11.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.3.11.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.3.11.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.3.11.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.3.11.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.3.11.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4 Asia Pacific
- 9.4.1 Market estimates and forecast, 2018 – 2032
- 9.4.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.6 China
- 9.4.6.1 Market estimates and forecast, 2018 – 2032
- 9.4.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.7 Japan
- 9.4.7.1 Market estimates and forecast, 2018 – 2032
- 9.4.7.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.7.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.7.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.7.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.8 South Korea
- 9.4.8.1 Market estimates and forecast, 2018 – 2032
- 9.4.8.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.8.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.8.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.8.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.9 India
- 9.4.9.1 Market estimates and forecast, 2018 – 2032
- 9.4.9.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.9.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.9.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.9.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.9.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.9.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.9.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.10 Australia
- 9.4.10.1 Market estimates and forecast, 2018 – 2032
- 9.4.10.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.10.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.10.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.10.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.10.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.10.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.10.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.4.11 Southeast Asia
- 9.4.11.1 Market estimates and forecast, 2018 – 2032
- 9.4.11.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.4.11.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.4.11.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.4.11.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.4.11.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.4.11.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.4.11.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.5 Latin America
- 9.5.1 Market estimates and forecast, 2018 – 2032
- 9.5.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.5.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.5.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.5.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.5.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.5.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.5.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.5.6 Brazil
- 9.5.6.1 Market estimates and forecast, 2018 – 2032
- 9.5.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.5.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.5.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.5.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.5.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.5.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.5.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.5.7 Mexico
- 9.5.7.1 Market estimates and forecast, 2018 – 2032
- 9.5.7.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.5.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.5.7.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.5.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.5.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.5.7.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.5.7.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.5.8 Argentina
- 9.5.8.1 Market estimates and forecast, 2018 – 2032
- 9.5.8.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.5.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.5.8.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.5.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.5.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.5.8.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.5.8.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.6 MEA
- 9.6.1 Market estimates and forecast, 2018 – 2032
- 9.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.6.6 UAE
- 9.6.6.1 Market estimates and forecast, 2018 – 2032
- 9.6.6.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.6.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.6.6.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.6.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.6.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.6.6.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.6.6.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.6.7 Saudi Arabia
- 9.6.7.1 Market estimates and forecast, 2018 – 2032
- 9.6.7.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.6.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.6.7.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.6.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.6.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.6.7.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.6.7.5 Market estimates and forecast, by deployment, 2018 – 2032
- 9.6.8 South Africa
- 9.6.8.1 Market estimates and forecast, 2018 – 2032
- 9.6.8.2 Market estimates and forecast, by solution, 2018 – 2032
- 9.6.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
- 9.6.8.3 Market estimates and forecast, by technology, 2018 – 2032
- 9.6.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
- 9.6.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
- 9.6.8.4 Market estimates and forecast, by end-use, 2018 – 2032
- 9.6.8.5 Market estimates and forecast, by deployment, 2018 – 2032
- Chapter 10 Company Profiles
- 10.1 Alphabet Inc.
- 10.1.1 Business Overview
- 10.1.2 Financial Data
- 10.1.3 Product Landscape
- 10.1.4 Strategic Outlook
- 10.1.5 SWOT Analysis
- 10.2 Baidu Inc.
- 10.2.1 Business Overview
- 10.2.2 Financial Data
- 10.2.3 Product Landscape
- 10.2.4 Strategic Outlook
- 10.2.5 SWOT Analysis
- 10.3 Cisco Systems, Inc.
- 10.3.1 Business Overview
- 10.3.2 Financial Data
- 10.3.3 Product Landscape
- 10.3.4 Strategic Outlook
- 10.3.5 SWOT Analysis
- 10.4 Dolbey Systems
- 10.4.1 Business Overview
- 10.4.2 Financial Data
- 10.4.3 Product Landscape
- 10.4.4 Strategic Outlook
- 10.4.5 SWOT Analysis
- 10.5 IBM Corp.
- 10.5.1 Business Overview
- 10.5.2 Financial Data
- 10.5.3 Product Landscape
- 10.5.4 Strategic Outlook
- 10.5.5 SWOT Analysis
- 10.6 Intel Corp.
- 10.6.1 Business Overview
- 10.6.2 Financial Data
- 10.6.3 Product Landscape
- 10.6.4 Strategic Outlook
- 10.6.5 SWOT Analysis
- 10.7 Lexalytics
- 10.7.1 Business Overview
- 10.7.2 Financial Data
- 10.7.3 Product Landscape
- 10.7.4 Strategic Outlook
- 10.7.5 SWOT Analysis
- 10.8 Meta Platforms Inc.
- 10.8.1 Business Overview
- 10.8.2 Financial Data
- 10.8.3 Product Landscape
- 10.8.4 Strategic Outlook
- 10.8.5 SWOT Analysis
- 10.9 Microsoft Corp.
- 10.9.1 Business Overview
- 10.9.2 Financial Data
- 10.9.3 Product Landscape
- 10.9.4 Strategic Outlook
- 10.9.5 SWOT Analysis
- 10.10 Netbase Solutions
- 10.10.1 Business Overview
- 10.10.2 Financial Data
- 10.10.3 Product Landscape
- 10.10.4 Strategic Outlook
- 10.10.5 SWOT Analysis
- 10.11 Nvidia Corp.
- 10.11.1 Business Overview
- 10.11.2 Financial Data
- 10.11.3 Product Landscape
- 10.11.4 Strategic Outlook
- 10.11.5 SWOT Analysis
- 10.12 Oracle Corp.
- 10.12.1 Business Overview
- 10.12.2 Financial Data
- 10.12.3 Product Landscape
- 10.12.4 Strategic Outlook
- 10.12.5 SWOT Analysis
- 10.13 People.ai
- 10.13.1 Business Overview
- 10.13.2 Financial Data
- 10.13.3 Product Landscape
- 10.13.4 Strategic Outlook
- 10.13.5 SWOT Analysis
- 10.14 Salesforce.com Inc.
- 10.14.1 Business Overview
- 10.14.2 Financial Data
- 10.14.3 Product Landscape
- 10.14.4 Strategic Outlook
- 10.14.5 SWOT Analysis
- 10.15 SAP SE
- 10.15.1 Business Overview
- 10.15.2 Financial Data
- 10.15.3 Product Landscape
- 10.15.4 Strategic Outlook
- 10.15.5 SWOT Analysis
- 10.16 Siemens AG
- 10.16.1 Business Overview
- 10.16.2 Financial Data
- 10.16.3 Product Landscape
- 10.16.4 Strategic Outlook
- 10.16.5 SWOT Analysis
- 10.17 Verint Systems
- 10.17.1 Business Overview
- 10.17.2 Financial Data
- 10.17.3 Product Landscape
- 10.17.4 Strategic Outlook
- 10.17.5 SWOT Analysis
- Data Tables
- TABLE 1 Product mapping, by company
- TABLE 2 AI Engineering revenue, by company, 2022(USD Million)
- TABLE 3 Secondary sources, by region
- TABLE 4 Industry glossary
- TABLE 5 AI engineering market, 2018 - 2022, (USD Million)
- TABLE 6 AI engineering market, 2023 - 2032, (USD Million)
- TABLE 7 AI engineering total addressable market, 2023 - 2032, (USD Million)
- TABLE 8 AI engineering market, by region, 2018 - 2022 (USD Million)
- TABLE 9 AI engineering market, by region, 2023 - 2032 (USD Million)
- TABLE 10 AI engineering market, by solution, 2018 - 2022 (USD Million)
- TABLE 11 AI engineering market, by solution, 2023 - 2032 (USD Million)
- TABLE 12 AI engineering market, by hardware, 2018 - 2022 (USD Million)
- TABLE 13 AI engineering market, by hardware, 2023 - 2032 (USD Million)
- TABLE 14 AI engineering market, by technology, 2018 - 2022 (USD Million)
- TABLE 15 AI engineering market, by technology, 2023 - 2032 (USD Million)
- TABLE 16 AI engineering market, by machine learning, 2018 - 2022 (USD Million)
- TABLE 17 AI engineering market, by machine learning, 2023 - 2032 (USD Million)
- TABLE 18 AI engineering market, by natural language processing, 2018 - 2022 (USD Million)
- TABLE 19 AI engineering market, by natural language processing, 2023 - 2032 (USD Million)
- TABLE 20 AI engineering market, by end-use, 2018 - 2022 (USD Million)
- TABLE 21 AI engineering market, by end-use, 2023 - 2032 (USD Million)
- TABLE 22 AI engineering market, by deployment, 2018 - 2022 (USD Million)
- TABLE 23 AI engineering market, by deployment, 2023 - 2032 (USD Million)
- TABLE 24 Industry impact forces
- TABLE 25 Hardware market, 2018 - 2022 (USD Million)
- TABLE 26 Hardware market, 2023 - 2032 (USD Million)
- TABLE 27 CPU market, 2018 - 2022 (USD Million)
- TABLE 28 CPU market, 2023 - 2032 (USD Million)
- TABLE 29 GPU market, 2018 - 2022 (USD Million)
- TABLE 30 GPU market, 2023 - 2032 (USD Million)
- TABLE 31 FPGA market, 2018 - 2022 (USD Million)
- TABLE 32 FPGA market, 2023 - 2032 (USD Million)
- TABLE 33 ASIC market, 2018 - 2022 (USD Million)
- TABLE 34 ASIC market, 2023 - 2032 (USD Million)
- TABLE 35 Software market, 2018 - 2022 (USD Million)
- TABLE 36 Software market, 2023 - 2032 (USD Million)
- TABLE 37 Services market, 2018 - 2022 (USD Million)
- TABLE 38 Services market, 2023 - 2032 (USD Million)
- TABLE 39 Deep Learning market, 2018 - 2022 (USD Million)
- TABLE 40 Deep Learning market, 2023 - 2032 (USD Million)
- TABLE 41 Machine Learning market, 2018 - 2022 (USD Million)
- TABLE 42 Machine Learning market, 2023 - 2032 (USD Million)
- TABLE 43 Supervised Learning market, 2018 - 2022 (USD Million)
- TABLE 44 Supervised Learning market, 2023 - 2032 (USD Million)
- TABLE 45 Unsupervised Learning market, 2018 - 2022 (USD Million)
- TABLE 46 Unsupervised Learning market, 2023 - 2032 (USD Million)
- TABLE 47 Reinforcement Learning market, 2018 - 2022 (USD Million)
- TABLE 48 Reinforcement Learning market, 2023 - 2032 (USD Million)
- TABLE 49 Natural Language Processing (NLP) market, 2018 - 2022 (USD Million)
- TABLE 50 Natural Language Processing (NLP) market, 2023 - 2032 (USD Million)
- TABLE 51 Speech Recognition market, 2018 - 2022 (USD Million)
- TABLE 52 Speech Recognition market, 2023 - 2032 (USD Million)
- TABLE 53 Optical Character Recognition (OCR) market, 2018 - 2022 (USD Million)
- TABLE 54 Optical Character Recognition (OCR) market, 2023 - 2032 (USD Million)
- TABLE 55 Semantic Search market, 2018 - 2022 (USD Million)
- TABLE 56 Semantic Search market, 2023 - 2032 (USD Million)
- TABLE 57 Sentiment Analysis market, 2018 - 2022 (USD Million)
- TABLE 58 Sentiment Analysis market, 2023 - 2032 (USD Million)
- TABLE 59 Computer Vision market, 2018 - 2022 (USD Million)
- TABLE 60 Computer Vision market, 2023 - 2032 (USD Million)
- TABLE 61 Retail market, 2018 - 2022 (USD Million)
- TABLE 62 Retail market, 2023 - 2032 (USD Million)
- TABLE 63 BFSI market, 2018 - 2022 (USD Million)
- TABLE 64 BFSI market, 2023 - 2032 (USD Million)
- TABLE 65 IT and Telecommunication market, 2018 - 2022 (USD Million)
- TABLE 66 IT and Telecommunication market, 2023 - 2032 (USD Million)
- TABLE 67 Government and Public Sector market, 2018 - 2022 (USD Million)
- TABLE 68 Government and Public Sector market, 2023 - 2032 (USD Million)
- TABLE 69 Manufacturing market, 2018 - 2022 (USD Million)
- TABLE 70 Manufacturing market, 2023 - 2032 (USD Million)
- TABLE 71 Healthcare market, 2018 - 2022 (USD Million)
- TABLE 72 Healthcare market, 2023 - 2032 (USD Million)
- TABLE 73 Education and Research market, 2018 - 2022 (USD Million)
- TABLE 74 Education and Research market, 2023 - 2032 (USD Million)
- TABLE 75 Others market, 2018 - 2022 (USD Million)
- TABLE 76 Others market, 2023 - 2032 (USD Million)
- TABLE 77 North America AI engineering market, by solution, 2018 - 2022 (USD Million)
- TABLE 78 North America AI engineering market, by solution, 2023 - 2032 (USD Million)
- TABLE 79 North America AI engineering market, by hardware, 2018 - 2022 (USD Million)
- TABLE 80 North America AI engineering market, by hardware, 2023 - 2032 (USD Million)
- TABLE 81 North America AI engineering market, by technology, 2018 - 2022 (USD Million)
- TABLE 82 North America AI engineering market, by technology, 2023 - 2032 (USD Million)
- TABLE 83 North America AI engineering market, by machine learning, 2018 - 2022 (USD Million)
- TABLE 84 North America AI engineering market, by machine learning, 2023 - 2032 (USD Million)
- TABLE 85 North America AI engineering market, by natural language processing, 2018 - 2022 (USD Million)
- TABLE 86 North America AI engineering market, by natural language processing, 2023 - 2032 (USD Million)
- TABLE 87 North America AI engineering market, by end-use, 2018 - 2022 (USD Million)
- TABLE 88 North America AI engineering market, by end-use, 2023 - 2032 (USD Million)
- TABLE 89 North America AI engineering market, by deployment, 2018 - 2022 (USD Million)
- TABLE 90 North America AI engineering market, by deployment, 2023 - 2032 (USD Million)
- TABLE 91 U.S. AI engineering market, by solution, 2018 - 2022 (USD Million)
- TABLE 92 U.S. AI engineering market, by solution, 2023 - 2032 (USD Million)
- TABLE 93 U.S. AI engineering market, by hardware, 2018 - 2022 (USD Million)
- TABLE 94 U.S. AI engineering market, by hardware, 2023 - 2032 (USD Million)
- TABLE 95 U.S. AI engineering market, by technology, 2018 - 2022 (USD Million)
- TABLE 96 U.S. AI engineering market, by technology, 2023 - 2032 (USD Million)
- TABLE 97 U.S. AI engineering market, by machine learning, 2018 - 2022 (USD Million)
- TABLE 98 U.S. AI engineering market, by machine learning, 2023 - 2032 (USD Million)
- TABLE 99 U.S. AI engineering market, by natural language processing, 2018 - 2022 (USD Million)
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