Global Artificial Intelligence Market Overview
Global Artificial Intelligence Market was estimated to be USD 50.13 Billion in 2019 and is expected to reach USD 186.17 Billion by 2027, registering a CAGR of 27.2%, between 2021 and 2027.
Artificial Intelligence (AI) is a counterfeit of human intelligence by machines to automate and perform tasks commonly complete by humans, by algorithms. In the technology industry, AI has an integrative science with numerous perspectives, but developments for machine or deep learning are designed a paradigm shift in virtually many sectors. With the growing number of enterprises and increasing competition among them, companies are rigorously trying to integrate artificial intelligence (AI) technology within their applications, businesses, analytics, and services.
Moreover, companies are trying to reduce their operational costs to ascend their profit margins, owing to which deployment of artificial intelligence technology over the cloud is becoming popular, which is the drive, anticipated to stimulate the market growth during the projected period. Gaining popularity for new trends such as multi-cloud functioning and rising need for cloud-based intelligence services are leading to fueled demand for the market growth. According to IBM, by 2021, approximately 98% of organizations have adopted multi-cloud architectures. Nevertheless, around 41% have a multi-cloud management strategy and only 38% have procedures and tools to operate a multi-cloud environment. This is anticipated to create huge growth possibilities for the global AI market.
Market Dynamics and Factors
Drivers:
Increasing Demand For Predictive Analytics Solutions
The growth of predictive analytics solutions that works on AI-based machine learning technology will drive the market for Artificial Intelligence in the forecast period. Different end-user companies across the globe are utilizing predictive modeling for planning and growth in their respective industries. The insurance industry has been one of the significant adopters of predictive analytics solutions. The solutions create several opportunities for improving vital factors such as services and satisfaction. The growth of small to medium businesses globally and the adoption of the digital ecosystem are creating massive amounts of data and a need for data analytics tools. Video intelligence using predictive analytics further increases the demand for AI technology. For instance, in November 2020, FLIR Systems launched intelligent traffic system cameras with predictive traffic management for preventing accidents and create safer roads.
Increase In Application Of Cloud-Based Applications And Services
Cloud-based solutions are believed to be a vital part of the digital world. According to Cisco, the cloud will host over 94% of workload and computing processes in 2021. Moreover, according to a software company, Progress, professionals are using 2020 as a year for cloud migration. The cloud approach is also becoming popular in various industries such as e-commerce, financial services, industrial, and others because of its advantages, such as scalability, enhanced productivity, and cost reduction. The growth of applications such as 3D printing powered by cloud computing for outsourcing 3D prototyping, parts, and products is growing quickly. 3D printing manufacturers are also supporting cloud growth with new platforms. Such rapid growth in cloud-based applications and services drives the market for Artificial Intelligence during the forecast period.
Restraints:
Companies require employees with certain skill sets to manage and develop for implementing the AI system due to AI is a composite system. For instance, the workforce dealing with AI systems must be up to date with technologies such as cognitive computing, ML and machine intelligence, machine learning, and image recognition. The incorporation of AI solutions with inbuilt systems is a grueling task, which needs extensive data processing to replicate the behavior of a human brain. Even minor errors may result in system failure or malfunctioning of a particular solution, and this can adversely affect outputs and desired results.
Opportunities:
Increasing the application and easy deployment modes have haled government attention towards the AI technology which has led to the rising investment in AI and AI-related various technologies.
Machine learning frameworks, bots, and digital assistants, cognitive computing APIs, and fully managed machine learning services are prime lucrative opportunities for the AI market, toward which industries are mainly investing. The market players are entering into strategic collaborations as a lucrative path toward market expansion. For instance, in June 2020, Microsoft Corp. and SAS announced a comprehensive technology and go-to-market strategic partnership. The companies partnered to help customers efficiently run their SAS workloads in the cloud, expanding their business solutions, and unlocking critical value from their digital transformation initiatives. The collaboration creates on SAS incorporation over Microsoft cloud solutions for Azure, Dynamics 365, and Power Platform, and supports the companies’ shared vision to democratize AI and analytics.
Challenges
The costs of business consulting, research and development, computing power, and the cost to build minimal viable products are incurred before implementation. For the prosecution, factors such as automatic data preparation, delivering the infrastructure, processing, and create it actionable for systems and employees constitute the total cost. The prosecution cost is high and depends on the volume and size of the industry. A significant challenge in the market is of replacement of the human workforce by Artificial Intelligence. Maximum productivity that replaced individual craftmanship with the factory production line is the next step for AI.
COVID-19 Impact Analysis of Artificial Intelligence Market
COVID-19 has had a positive and negative impact on the market as few industries witnessed an increase in AI adoption while others faced a decline. For instance, in the public sector, AI helps push processes, people, and services online and compels local, regional, and national governments to embrace AI. In the pandemic period and thereafter, governments globally have learned to use AI as a weapon to fight against the virus, from educating the public and screening patients to tracking and tracing contacts. Furthermore, remote working increased across the globe due to the pandemic and resultant lockdown restrictions. This has led to innovation in the healthcare industry. For instance, in March 2021, Health Catalyst announced its Healthcare. AI services and technologies are designed to help clients gain ground on their clinical, financial, and operational projects. The new technology suite provides in various
Market Segmentation
Segmentation Insights
Based on Component, the market is segmented into Hardware and Software and Services, of which the Software and Services segmented accounted for the largest market share of 68.47% in 2020, and is expected to be the fastest-growing segment over the forecast period.
Based on End-Users, Fashion and Retail segmentation held the maximum share, and accounted for 24.54% in 2020, while the Healthcare and Lifesciences segment is expected to be the fastest-growing end-user segment registering a high CAGR over the forecast period. In recent years, AI technology has been increasingly adopted in the BFSI industry to enhance operational efficiency and enable better consumer experiences. AI is heralding a variety of innovations and will continue to remain so shortly. The manufacturing industry has been taking advantage of AI-enabled chatbot functionality. Recalls are costly not only for manufacturing operations but also in terms of responding to consumer inquiries. In addition, the retail industry worldwide is witnessing an ever-growing demand for Artificial Intelligence (AI), as key industry players and manufacturers increasingly look at innovative products. Most retailers are eying AI and taking considerable strides to embrace technology to enhance the retail experience.
Based on Deployment, the cloud segment dominates the market growth owing to cloud deployments helps to provide various benefits such as high scalability, reduced operational costs, hassle-free deployment. NLP and ML tools in AI are anticipated to grow in growing concern associated with cloud-based solutions growth in the market.
Regional Analysis
North America accounted for a 57.89% share in 2020, making it the most significant region. The region has a great innovation ecosystem, which is accelerated by strategic federal funding in advanced technology, complemented by the presence of visionary scientists and entrepreneurs coming together from the global level, and renowned research institutions, which has hastened the development of artificial intelligence in the region. Furthermore, the present prime technology key players such as Microsoft, Google, Amazon, and IBM have propelled the growth of the market in this region.
Asia-Pacific is anticipated to record lucrative growth in the projected period. The growth of Artificial Intelligence in China is driven by both government initiatives as well as investments made by private players from growing industries such as Telecommunications, automotive, construction, and BFSI.
In Europe, the union is significantly investing in AI. For instance, the European investment fund allotted around USD 111 million investment for the AI companies in the year 2020 which has helped to boost the market growth during the forecast period.
In Latin America, the high growth rate of implementation of AI technologies is due to its growing popularity, importance, and funding. In the Middle East and Africa region, the Saudi Arabian government developed Saudi Data and Artificial Intelligence Authority (SDAIA), which has triggered market growth in the region during upcoming years.
Key Industry Developments
In April 2021, IBM Corporation's new capabilities for its Watson Al support business development trustworthy artificial intelligence. In addition, the Watson Al supported by the company allows enterprises to explain and govern AI lead decisions, to provide their compliance and privacy requirements, overcome risk increase insight accuracy.
In January 2021, Google introduced Product Discovery Solutions for the retail industry. This would enrich the retailer's E-commerce capabilities and help them provide increase customer experience. Product Discovery Solutions for retail integration Al algorithms and search service, Cloud search for retail, which leverages Google Search methodology to power retailer’s product finding tools.
Players Covered in Artificial Intelligence market are :
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Google LLC
- Amazon Web Services Inc.
- Oracle Corporation
- Salesforce.com Inc.
- SAP SE
- SAS Institute Inc.
- Cisco Systems Inc.
- Siemens SE
- NVIDIA Corporation
- Zebra Medical Vision Inc.
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1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Component
3.2 By Technology
3.3 By Deployment Mode
3.4 By By End-Use Industry
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
3.5.1 Drivers
3.5.2 Restraints
3.5.3 Opportunities
3.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 4: Artificial Intelligence Market by Component
4.1 Artificial Intelligence Market Overview Snapshot and Growth Engine
4.2 Artificial Intelligence Market Overview
4.3 Hardware
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size (2016-2028F)
4.3.3 Key Market Trends, Growth Factors and Opportunities
4.3.4 Hardware: Grographic Segmentation
4.4 Software
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size (2016-2028F)
4.4.3 Key Market Trends, Growth Factors and Opportunities
4.4.4 Software: Grographic Segmentation
4.5 And Services
4.5.1 Introduction and Market Overview
4.5.2 Historic and Forecasted Market Size (2016-2028F)
4.5.3 Key Market Trends, Growth Factors and Opportunities
4.5.4 And Services: Grographic Segmentation
Chapter 5: Artificial Intelligence Market by Technology
5.1 Artificial Intelligence Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence Market Overview
5.3 Deep Learning
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Deep Learning: Grographic Segmentation
5.4 Natural Language Processing
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Natural Language Processing: Grographic Segmentation
5.5 Image Processing
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2028F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Image Processing: Grographic Segmentation
5.6 Speech Recognition
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2016-2028F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Speech Recognition: Grographic Segmentation
5.7 Others
5.7.1 Introduction and Market Overview
5.7.2 Historic and Forecasted Market Size (2016-2028F)
5.7.3 Key Market Trends, Growth Factors and Opportunities
5.7.4 Others: Grographic Segmentation
Chapter 6: Artificial Intelligence Market by Deployment Mode
6.1 Artificial Intelligence Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence Market Overview
6.3 Cloud
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2028F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Cloud: Grographic Segmentation
6.4 On-Premises
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2028F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 On-Premises: Grographic Segmentation
Chapter 7: Artificial Intelligence Market by By End-Use Industry
7.1 Artificial Intelligence Market Overview Snapshot and Growth Engine
7.2 Artificial Intelligence Market Overview
7.3 BFSI
7.3.1 Introduction and Market Overview
7.3.2 Historic and Forecasted Market Size (2016-2028F)
7.3.3 Key Market Trends, Growth Factors and Opportunities
7.3.4 BFSI: Grographic Segmentation
7.4 Fashion And Retail
7.4.1 Introduction and Market Overview
7.4.2 Historic and Forecasted Market Size (2016-2028F)
7.4.3 Key Market Trends, Growth Factors and Opportunities
7.4.4 Fashion And Retail: Grographic Segmentation
7.5 Healthcare And Life Sciences
7.5.1 Introduction and Market Overview
7.5.2 Historic and Forecasted Market Size (2016-2028F)
7.5.3 Key Market Trends, Growth Factors and Opportunities
7.5.4 Healthcare And Life Sciences: Grographic Segmentation
7.6 Manufacturing
7.6.1 Introduction and Market Overview
7.6.2 Historic and Forecasted Market Size (2016-2028F)
7.6.3 Key Market Trends, Growth Factors and Opportunities
7.6.4 Manufacturing: Grographic Segmentation
7.7 Automotive
7.7.1 Introduction and Market Overview
7.7.2 Historic and Forecasted Market Size (2016-2028F)
7.7.3 Key Market Trends, Growth Factors and Opportunities
7.7.4 Automotive: Grographic Segmentation
7.8 Aerospace And Defense
7.8.1 Introduction and Market Overview
7.8.2 Historic and Forecasted Market Size (2016-2028F)
7.8.3 Key Market Trends, Growth Factors and Opportunities
7.8.4 Aerospace And Defense: Grographic Segmentation
7.9 Construction
7.9.1 Introduction and Market Overview
7.9.2 Historic and Forecasted Market Size (2016-2028F)
7.9.3 Key Market Trends, Growth Factors and Opportunities
7.9.4 Construction: Grographic Segmentation
7.10 And Other End-User Industries
7.10.1 Introduction and Market Overview
7.10.2 Historic and Forecasted Market Size (2016-2028F)
7.10.3 Key Market Trends, Growth Factors and Opportunities
7.10.4 And Other End-User Industries: Grographic Segmentation
Chapter 8: Company Profiles and Competitive Analysis
8.1 Competitive Landscape
8.1.1 Competitive Positioning
8.1.2 Artificial Intelligence Sales and Market Share By Players
8.1.3 Industry BCG Matrix
8.1.4 Ansoff Matrix
8.1.5 Artificial Intelligence Industry Concentration Ratio (CR5 and HHI)
8.1.6 Top 5 Artificial Intelligence Players Market Share
8.1.7 Mergers and Acquisitions
8.1.8 Business Strategies By Top Players
8.2 IBM CORPORATION
8.2.1 Company Overview
8.2.2 Key Executives
8.2.3 Company Snapshot
8.2.4 Operating Business Segments
8.2.5 Product Portfolio
8.2.6 Business Performance
8.2.7 Key Strategic Moves and Recent Developments
8.2.8 SWOT Analysis
8.3 INTEL CORPORATION
8.4 MICROSOFT CORPORATION
8.5 GOOGLE LLC
8.6 AMAZON WEB SERVICES INC.
8.7 ORACLE CORPORATION
8.8 SALESFORCE.COM INC.
8.9 SAP SE
8.10 SAS INSTITUTE INC.
8.11 CISCO SYSTEMS INC.
8.12 SIEMENS SE
8.13 NVIDIA CORPORATION
8.14 ZEBRA MEDICAL VISION INC.
Chapter 9: Global Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
9.1 Market Overview
9.2 Historic and Forecasted Market Size By Component
9.2.1 Hardware
9.2.2 Software
9.2.3 And Services
9.3 Historic and Forecasted Market Size By Technology
9.3.1 Deep Learning
9.3.2 Natural Language Processing
9.3.3 Image Processing
9.3.4 Speech Recognition
9.3.5 Others
9.4 Historic and Forecasted Market Size By Deployment Mode
9.4.1 Cloud
9.4.2 On-Premises
9.5 Historic and Forecasted Market Size By By End-Use Industry
9.5.1 BFSI
9.5.2 Fashion And Retail
9.5.3 Healthcare And Life Sciences
9.5.4 Manufacturing
9.5.5 Automotive
9.5.6 Aerospace And Defense
9.5.7 Construction
9.5.8 And Other End-User Industries
Chapter 10: North America Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Component
10.4.1 Hardware
10.4.2 Software
10.4.3 And Services
10.5 Historic and Forecasted Market Size By Technology
10.5.1 Deep Learning
10.5.2 Natural Language Processing
10.5.3 Image Processing
10.5.4 Speech Recognition
10.5.5 Others
10.6 Historic and Forecasted Market Size By Deployment Mode
10.6.1 Cloud
10.6.2 On-Premises
10.7 Historic and Forecasted Market Size By By End-Use Industry
10.7.1 BFSI
10.7.2 Fashion And Retail
10.7.3 Healthcare And Life Sciences
10.7.4 Manufacturing
10.7.5 Automotive
10.7.6 Aerospace And Defense
10.7.7 Construction
10.7.8 And Other End-User Industries
10.8 Historic and Forecast Market Size by Country
10.8.1 U.S.
10.8.2 Canada
10.8.3 Mexico
Chapter 11: Europe Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Component
11.4.1 Hardware
11.4.2 Software
11.4.3 And Services
11.5 Historic and Forecasted Market Size By Technology
11.5.1 Deep Learning
11.5.2 Natural Language Processing
11.5.3 Image Processing
11.5.4 Speech Recognition
11.5.5 Others
11.6 Historic and Forecasted Market Size By Deployment Mode
11.6.1 Cloud
11.6.2 On-Premises
11.7 Historic and Forecasted Market Size By By End-Use Industry
11.7.1 BFSI
11.7.2 Fashion And Retail
11.7.3 Healthcare And Life Sciences
11.7.4 Manufacturing
11.7.5 Automotive
11.7.6 Aerospace And Defense
11.7.7 Construction
11.7.8 And Other End-User Industries
11.8 Historic and Forecast Market Size by Country
11.8.1 Germany
11.8.2 U.K.
11.8.3 France
11.8.4 Italy
11.8.5 Russia
11.8.6 Spain
Chapter 12: Asia-Pacific Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Component
12.4.1 Hardware
12.4.2 Software
12.4.3 And Services
12.5 Historic and Forecasted Market Size By Technology
12.5.1 Deep Learning
12.5.2 Natural Language Processing
12.5.3 Image Processing
12.5.4 Speech Recognition
12.5.5 Others
12.6 Historic and Forecasted Market Size By Deployment Mode
12.6.1 Cloud
12.6.2 On-Premises
12.7 Historic and Forecasted Market Size By By End-Use Industry
12.7.1 BFSI
12.7.2 Fashion And Retail
12.7.3 Healthcare And Life Sciences
12.7.4 Manufacturing
12.7.5 Automotive
12.7.6 Aerospace And Defense
12.7.7 Construction
12.7.8 And Other End-User Industries
12.8 Historic and Forecast Market Size by Country
12.8.1 China
12.8.2 India
12.8.3 Japan
12.8.4 Southeast Asia
Chapter 13: South America Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Component
13.4.1 Hardware
13.4.2 Software
13.4.3 And Services
13.5 Historic and Forecasted Market Size By Technology
13.5.1 Deep Learning
13.5.2 Natural Language Processing
13.5.3 Image Processing
13.5.4 Speech Recognition
13.5.5 Others
13.6 Historic and Forecasted Market Size By Deployment Mode
13.6.1 Cloud
13.6.2 On-Premises
13.7 Historic and Forecasted Market Size By By End-Use Industry
13.7.1 BFSI
13.7.2 Fashion And Retail
13.7.3 Healthcare And Life Sciences
13.7.4 Manufacturing
13.7.5 Automotive
13.7.6 Aerospace And Defense
13.7.7 Construction
13.7.8 And Other End-User Industries
13.8 Historic and Forecast Market Size by Country
13.8.1 Brazil
13.8.2 Argentina
Chapter 14: Middle East & Africa Artificial Intelligence Market Analysis, Insights and Forecast, 2016-2028
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Component
14.4.1 Hardware
14.4.2 Software
14.4.3 And Services
14.5 Historic and Forecasted Market Size By Technology
14.5.1 Deep Learning
14.5.2 Natural Language Processing
14.5.3 Image Processing
14.5.4 Speech Recognition
14.5.5 Others
14.6 Historic and Forecasted Market Size By Deployment Mode
14.6.1 Cloud
14.6.2 On-Premises
14.7 Historic and Forecasted Market Size By By End-Use Industry
14.7.1 BFSI
14.7.2 Fashion And Retail
14.7.3 Healthcare And Life Sciences
14.7.4 Manufacturing
14.7.5 Automotive
14.7.6 Aerospace And Defense
14.7.7 Construction
14.7.8 And Other End-User Industries
14.8 Historic and Forecast Market Size by Country
14.8.1 Saudi Arabia
14.8.2 South Africa
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
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TABLE 001. EXECUTIVE SUMMARY
TABLE 002. ARTIFICIAL INTELLIGENCE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. ARTIFICIAL INTELLIGENCE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. ARTIFICIAL INTELLIGENCE MARKET COMPETITIVE RIVALRY
TABLE 005. ARTIFICIAL INTELLIGENCE MARKET THREAT OF NEW ENTRANTS
TABLE 006. ARTIFICIAL INTELLIGENCE MARKET THREAT OF SUBSTITUTES
TABLE 007. ARTIFICIAL INTELLIGENCE MARKET BY COMPONENT
TABLE 008. HARDWARE MARKET OVERVIEW (2016-2028)
TABLE 009. SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 010. AND SERVICES MARKET OVERVIEW (2016-2028)
TABLE 011. ARTIFICIAL INTELLIGENCE MARKET BY TECHNOLOGY
TABLE 012. DEEP LEARNING MARKET OVERVIEW (2016-2028)
TABLE 013. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 014. IMAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 015. SPEECH RECOGNITION MARKET OVERVIEW (2016-2028)
TABLE 016. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 017. ARTIFICIAL INTELLIGENCE MARKET BY DEPLOYMENT MODE
TABLE 018. CLOUD MARKET OVERVIEW (2016-2028)
TABLE 019. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 020. ARTIFICIAL INTELLIGENCE MARKET BY BY END-USE INDUSTRY
TABLE 021. BFSI MARKET OVERVIEW (2016-2028)
TABLE 022. FASHION AND RETAIL MARKET OVERVIEW (2016-2028)
TABLE 023. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
TABLE 024. MANUFACTURING MARKET OVERVIEW (2016-2028)
TABLE 025. AUTOMOTIVE MARKET OVERVIEW (2016-2028)
TABLE 026. AEROSPACE AND DEFENSE MARKET OVERVIEW (2016-2028)
TABLE 027. CONSTRUCTION MARKET OVERVIEW (2016-2028)
TABLE 028. AND OTHER END-USER INDUSTRIES MARKET OVERVIEW (2016-2028)
TABLE 029. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 030. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 031. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 032. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 033. N ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 034. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 035. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 036. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 037. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 038. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 039. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 040. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 041. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 042. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 043. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 044. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 045. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 046. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 047. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 048. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 049. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 050. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 051. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 052. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 053. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 054. IBM CORPORATION: SNAPSHOT
TABLE 055. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 056. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 057. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 057. INTEL CORPORATION: SNAPSHOT
TABLE 058. INTEL CORPORATION: BUSINESS PERFORMANCE
TABLE 059. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 060. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 060. MICROSOFT CORPORATION: SNAPSHOT
TABLE 061. MICROSOFT CORPORATION: BUSINESS PERFORMANCE
TABLE 062. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 063. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 063. GOOGLE LLC: SNAPSHOT
TABLE 064. GOOGLE LLC: BUSINESS PERFORMANCE
TABLE 065. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 066. GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 066. AMAZON WEB SERVICES INC.: SNAPSHOT
TABLE 067. AMAZON WEB SERVICES INC.: BUSINESS PERFORMANCE
TABLE 068. AMAZON WEB SERVICES INC.: PRODUCT PORTFOLIO
TABLE 069. AMAZON WEB SERVICES INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 069. ORACLE CORPORATION: SNAPSHOT
TABLE 070. ORACLE CORPORATION: BUSINESS PERFORMANCE
TABLE 071. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 072. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 072. SALESFORCE.COM INC.: SNAPSHOT
TABLE 073. SALESFORCE.COM INC.: BUSINESS PERFORMANCE
TABLE 074. SALESFORCE.COM INC.: PRODUCT PORTFOLIO
TABLE 075. SALESFORCE.COM INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 075. SAP SE: SNAPSHOT
TABLE 076. SAP SE: BUSINESS PERFORMANCE
TABLE 077. SAP SE: PRODUCT PORTFOLIO
TABLE 078. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 078. SAS INSTITUTE INC.: SNAPSHOT
TABLE 079. SAS INSTITUTE INC.: BUSINESS PERFORMANCE
TABLE 080. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 081. SAS INSTITUTE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 081. CISCO SYSTEMS INC.: SNAPSHOT
TABLE 082. CISCO SYSTEMS INC.: BUSINESS PERFORMANCE
TABLE 083. CISCO SYSTEMS INC.: PRODUCT PORTFOLIO
TABLE 084. CISCO SYSTEMS INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 084. SIEMENS SE: SNAPSHOT
TABLE 085. SIEMENS SE: BUSINESS PERFORMANCE
TABLE 086. SIEMENS SE: PRODUCT PORTFOLIO
TABLE 087. SIEMENS SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 087. NVIDIA CORPORATION: SNAPSHOT
TABLE 088. NVIDIA CORPORATION: BUSINESS PERFORMANCE
TABLE 089. NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 090. NVIDIA CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 090. ZEBRA MEDICAL VISION INC.: SNAPSHOT
TABLE 091. ZEBRA MEDICAL VISION INC.: BUSINESS PERFORMANCE
TABLE 092. ZEBRA MEDICAL VISION INC.: PRODUCT PORTFOLIO
TABLE 093. ZEBRA MEDICAL VISION INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
LIST OF FIGURES
FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COMPONENT
FIGURE 012. HARDWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 014. AND SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 015. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY TECHNOLOGY
FIGURE 016. DEEP LEARNING MARKET OVERVIEW (2016-2028)
FIGURE 017. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 018. IMAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 019. SPEECH RECOGNITION MARKET OVERVIEW (2016-2028)
FIGURE 020. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 021. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY DEPLOYMENT MODE
FIGURE 022. CLOUD MARKET OVERVIEW (2016-2028)
FIGURE 023. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 024. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY BY END-USE INDUSTRY
FIGURE 025. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 026. FASHION AND RETAIL MARKET OVERVIEW (2016-2028)
FIGURE 027. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
FIGURE 028. MANUFACTURING MARKET OVERVIEW (2016-2028)
FIGURE 029. AUTOMOTIVE MARKET OVERVIEW (2016-2028)
FIGURE 030. AEROSPACE AND DEFENSE MARKET OVERVIEW (2016-2028)
FIGURE 031. CONSTRUCTION MARKET OVERVIEW (2016-2028)
FIGURE 032. AND OTHER END-USER INDUSTRIES MARKET OVERVIEW (2016-2028)
FIGURE 033. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 034. EUROPE ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 035. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 036. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 037. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)