HOME Top Market Reports Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025

Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025

By: marketsandmarkets.com
Publishing Date: February 2018
Report Code: SE 5997

 

  Speak to Analyst Enquiry Before Buying Webinar
purchase report
download pdf  request for customisation


The AI (chipsets) market was worth USD 5.19 Billion in 2017 and is expected to reach USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The base year considered for this study is 2017, and the forecast period is from 2018 to 2025.

Objectives of the Study

  • To define, describe, and forecast the artificial intelligence (chipsets) market, in terms of value, segmented on the basis of technology, hardware, end-user industry, and geography
  • To define, describe, and forecast the artificial intelligence (chipsets) market, in terms of volume, segmented on the basis of hardware
  • To provide detailed information regarding the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To forecast the market size of the various segments with respect to 4 main regions: North America, Europe, APAC, and RoW
  • To profile key players and comprehensively analyze their market rankings and core competencies, and detail the competitive landscape for market leaders
  • To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and R&D in the AI (chipsets) market

To estimate the size of the AI (chipsets) market, top-down and bottom-up approaches have been followed in the study. The entire research methodology includes the study of annual and financial reports of the top players, presentations, and press releases; white papers such as The Zettabyte Era: Trends and Analytics by Cisco Systems (US), Big Data (Artificial Intelligence) by EU Business Innovation Industry, The New Wave of Artificial Intelligence by Evry A/S (Norway), AI Meets Big Data by Umbel (US), and Deep Learning Methods and Applications by Li Deng and Dong Yu; and interviews with industry experts. Also, the average revenue generated by companies in a particular region was used to arrive at the overall AI (chipsets) market size. This overall market size was used in the top-down procedure to estimate the sizes of other individual markets via percentage splits from secondary and primary research.

Artificial Intelligence (Chipsets) Market

To know about the assumptions considered for the study, download the pdf brochure

The AI (chipsets) market comprises chipset manufacturers such as NVIDIA (US), Intel (US), General Vision (US), Graphcore (UK), AMD (US), and Qualcomm Technologies (US). The other key hardware manufacturers are Samsung Electronics (South Korea), Micron Technology (US), and Mellanox Technologies (Israel).

Target Audience

  • Semiconductor companies
  • Technology providers
  • System integrators
  • Universities and research organizations
  • AI solution providers
  • AI platform providers
  • Cloud service providers
  • AI system providers
  • Investors and venture capitalists
  • Manufacturers and people implementing AI technology

AI (Chipsets) Market Scope

By Technology

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

By Hardware

  • Processor
  • Memory
  • Network

By End-User Industry

  • Healthcare
    • Patient Data & Risk Analysis
    • Precision Medicine
    • Inpatient Care & Hospital Management
    • Medical Imaging & Diagnostics
    • Drug Discovery
    • Virtual Assistant
    • Wearables
    • Research
  • Manufacturing
    • Material Movement
    • Predictive Maintenance and Machinery Inspection
    • Production Planning
    • Field Services
    • Reclamation
    • Quality Control
  • Automotive
    • Autonomous Driving
    • Human–Machine Interface
    • Semiautonomous Driving
  • Agriculture
    • Precision Farming
    • Livestock Monitoring
    • Drone Analytics
    • Agricultural Robots
    • Others
  • Retail
    • Product Recommendation and Planning
    • Customer Relationship Management
    • Visual Search
    • Virtual Assistant
    • Price Optimization
    • Payment Services Management
    • Supply Chain Management and Demand Planning
    • Others
  • Security
    • Identity and Access Management
    • Risk and Compliance Management
    • Encryption
    • Data Loss Prevention
    • Unified Threat Management
    • Antivirus/Antimalware
    • Intrusion Detection/Prevention Systems
    • Others
  • Human Resources
    • Virtual Assistant
    • Sentiment Analysis
    • Scheduling Group Meetings and Interviews
    • Personalized Learning and Development
    • Applicant Tracking & Assessment
    • Employee Engagement
    • Resume Analysis
  • Marketing
    • Social Media Advertising
    • Search Advertising
    • Dynamic Pricing
    • Virtual Assistant
    • Content Curation
    • Sales & Marketing Automation
    • Analytics Platform
    • Others
  • Law
    • eDiscovery
    • Legal Research
    • Contract Analysis
    • Case Prediction
    • Compliance
    • Others
  • Fintech
    • Virtual Assistant
    • Business Analytics & Reporting
    • Customer Behavior Analytics
    • Others

By Geography

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • APAC
    • China
    • Japan
    • South Korea
    • India
    • Rest of APAC
  • RoW
    • Middle East and Africa
    • South America

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

  • Country-wise breakdown of various end-user industries, including North America, Europe, APAC, and RoW
  • Market segmentation of machine learning technology into sub-technologies, viz. deep learning, supervised learning, and unsupervised learning

Company Information

Detailed analysis and profiling of additional market players (up to 5)



Get more insight on other verticals of Semiconductor and Electronics Market Research Reports & Consulting

Table of Contents

1 Introduction (Page No. - 16)
    1.1 Objectives of the Study
    1.2 Definition
    1.3 Study Scope
           1.3.1 Market Covered
           1.3.2 Years Considered for Study
    1.4 Currency
    1.5 Package Size
    1.6 Stakeholders

2 Research Methodology (Page No. - 19)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Primary Interviews With Experts
                    2.1.2.2 Primary Sources
                    2.1.2.3 Breakdown of Primaries
                    2.1.2.4 Key Industry Insights
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Assumptions

3 Executive Summary (Page No. - 28)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Opportunities in AI (Chipsets) Market
    4.2 AI (Chipsets) Market, By Hardware
    4.3 Machine Learning AI (Chipsets) Market, By Subtype
    4.4 Asia Pacific: AI (Chipsets) Market, By End-User Industry and Country
    4.5 AI (Chipsets) Market, By Country

5 Market Overview (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Increasingly Large and Complex Dataset Driving the Need for AI
                    5.2.1.2 Adoption of AI for Improving Consumer Services and Reducing Operational Costs
                    5.2.1.3 Growing Number of AI Applications
                    5.2.1.4 Improving Computing Power and Declining Hardware Cost
           5.2.2 Restraints
                    5.2.2.1 Lack of Skilled Workforce and Absence of Standards and Protocols
           5.2.3 Opportunities
                    5.2.3.1 Increasing Focus on Developing Human-Aware AI Systems
                    5.2.3.2 Bringing AI to Edge Devices
           5.2.4 Challenges
                    5.2.4.1 Low Return on Investment
                    5.2.4.2 Creating Models and Mechanisms for AI
                    5.2.4.3 Limited Structured training Data

6 Artificial Intelligence (Chipsets) Market, By Technology (Page No. - 46)
    6.1 Introduction
    6.2 Machine Learning
           6.2.1 Deep Learning
           6.2.2 Supervised Learning
           6.2.3 Unsupervised Learning
           6.2.4 Reinforcement Learning
           6.2.5 Others
    6.3 Natural Language Processing
    6.4 Context-Aware Computing
    6.5 Computer Vision

7 Artificial Intelligence (Chipsets) Market, By Hardware (Page No. - 52)
    7.1 Introduction
    7.2 Processor
    7.3 Memory
    7.4 Network

8 Artificial Intelligence (Chipsets) Market, By End-User Industry (Page No. - 57)
    8.1 Introduction
    8.2 Healthcare
           8.2.1 Patient Data & Risk Analysis
           8.2.2 Lifestyle Management & Monitoring
           8.2.3 Precision Medicine
           8.2.4 Inpatient Care & Hospital Management
           8.2.5 Medical Imaging & Diagnostics
           8.2.6 Drug Discovery
           8.2.7 Virtual Assistant
           8.2.8 Wearables
           8.2.9 Research
    8.3 Manufacturing
           8.3.1 Material Movement
           8.3.2 Predictive Maintenance and Machinery Inspection
           8.3.3 Production Planning
           8.3.4 Field Services
           8.3.5 Reclamation
           8.3.6 Quality Control
    8.4 Automotive
           8.4.1 Autonomous Driving
           8.4.2 Human–Machine Interface
           8.4.3 Semiautonomous Driving
    8.5 Agriculture
           8.5.1 Precision Farming
           8.5.2 Livestock Monitoring
           8.5.3 Drone Analytics
           8.5.4 Agricultural Robots
           8.5.5 Others
    8.6 Retail
           8.6.1 Product Recommendation and Planning
           8.6.2 Customer Relationship Management
           8.6.3 Visual Search
           8.6.4 Virtual Assistant
           8.6.5 Price Optimization
           8.6.6 Payment Services Management
           8.6.7 Supply Chain Management and Demand Planning
           8.6.8 Others
    8.7 Security
           8.7.1 Identity and Access Management (IAM)
           8.7.2 Risk and Compliance Management
           8.7.3 Encryption
           8.7.4 Data Loss Prevention
           8.7.5 Unified Threat Management
           8.7.6 Antivirus/Antimalware
           8.7.7 Intrusion Detection/Prevention Systems
           8.7.8 Others
    8.8 Human Resources
           8.8.1 Virtual Assistant
           8.8.2 Sentiment Analysis
           8.8.3 Scheduling Group Meetings and Interviews
           8.8.4 Personalized Learning and Development
           8.8.5 Applicant Tracking & Assessment
           8.8.6 Employee Engagement
           8.8.7 Resume Analysis
    8.9 Marketing
           8.9.1 Social Media Advertising
           8.9.2 Search Advertising
           8.9.3 Dynamic Pricing
           8.9.4 Virtual Assistant
           8.9.5 Content Curation
           8.9.6 Sales & Marketing Automation
           8.9.7 Analytics Platform
           8.9.8 Others
    8.10 Law
           8.10.1 Ediscovery
           8.10.2 Legal Research
           8.10.3 Contract Analysis
           8.10.4 Case Prediction
           8.10.5 Compliance
           8.10.6 Others
    8.11 Fintech
           8.11.1 Virtual Assistant
           8.11.2 Business Analytics and Reporting
           8.11.3 Customer Behavior Analytics
           8.11.4 Others

9 Artificial Intelligence (Chipsets) Market, By Region (Page No. - 97)
    9.1 Introduction
    9.2 North America
           9.2.1 US
           9.2.2 Canada
           9.2.3 Mexico
    9.3 Europe
           9.3.1 UK
           9.3.2 Germany
           9.3.3 France
           9.3.4 Italy
           9.3.5 Spain
           9.3.6 Rest of Europe
    9.4 APAC
           9.4.1 China
           9.4.2 Japan
           9.4.3 South Korea
           9.4.4 India
           9.4.5 Rest of APAC
    9.5 Rest of the World
           9.5.1 Middle East and Africa
           9.5.2 South America

10 Competitive Landscape (Page No. - 127)
     10.1 Overview
     10.2 Ranking of Players, 2017
     10.3 Competitive Scenario
             10.3.1 New Product Developments and Launches
             10.3.2 Collaborations and Partnerships
             10.3.3 Acquisitions

11 Company Profiles (Page No. - 134)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
     11.1 Key Players
             11.1.1 Nvidia
             11.1.2 Intel
             11.1.3 Xilinx
             11.1.4 Samsung Electronics
             11.1.5 Micron Technology
             11.1.6 Qualcomm Technologies
             11.1.7 IBM
             11.1.8 Google
             11.1.9 Microsoft
             11.1.10 Amazon Web Services (AWS)
     11.2 Other Companies
             11.2.1 AMD
             11.2.2 General Vision
             11.2.3 Graphcore
             11.2.4 Mellanox Technologies
             11.2.5 Huawei Technologies
             11.2.6 Fujitsu
             11.2.7 Wave Computing
             11.2.8 Mythic
             11.2.9 Adapteva
             11.2.10 Koniku
             11.2.11 Tenstorrent

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM view Might Not Be Captured in Case of Unlisted Companies.

12 Appendix (Page No. - 177)
     12.1 Insights From Industry Experts
     12.2 Discussion Guide
     12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     12.4 Introducing RT: Real-Time Market Intelligence
     12.5 Available Customizations
     12.6 Related Reports
     12.7 Author Details


List of Tables (66 Tables)

Table 1 Major Secondary Sources
Table 2 Average Number of Connected Devices Per Capita
Table 3 Price Comparison: AI Chipsets (Leading Companies)
Table 4 Some Prominent Investments in AI Market in Past 3 Years
Table 5 AI (Chipsets) Market, By Technology, 2015–2025 (USD Billion)
Table 6 AI (Chipsets) Market for Machine Learning, By Type, 2015–2025 (USD Million)
Table 7 AI (Chipsets) Market, By Hardware, 2015–2025 (USD Billion)
Table 8 AI (Chipsets) Market, By Processor, 2015–2025 (USD Million)
Table 9 AI (Chipsets) Market, By Processor, 2015–2025 (Thousand Units)
Table 10 AI (Chipsets) Market, By End-User Industry, 2015–2025 (USD Million)
Table 11 AI (Chipsets) Market for Healthcare, By Region, 2015–2025 (USD Million)
Table 12 AI (Chipsets) Market for Healthcare, By Technology, 2015–2025 (USD Million)
Table 13 AI (Chipsets) Market for Healthcare, By Application, 2015–2025 (USD Million)
Table 14 AI (Chipsets) Market for Manufacturing, By Region, 2015–2025 (USD Million)
Table 15 AI (Chipsets) Market for Manufacturing, By Technology, 2015–2025 (USD Million)
Table 16 AI (Chipsets) Market for Manufacturing, By Application, 2015–2025 (USD Million)
Table 17 AI (Chipsets) Market for Automotive, By Region, 2015–2025 (USD Million)
Table 18 AI (Chipsets) Market for Automotive, By Technology, 2015–2025 (USD Million)
Table 19 AI (Chipsets) Market for Automotive, By Application, 2015–2025 (USD Million)
Table 20 AI (Chipsets) Market for Agriculture, By Region, 2015–2025 (USD Million)
Table 21 AI (Chipsets) Market for Agriculture, By Technology, 2015–2025 (USD Million)
Table 22 AI (Chipsets) Market for Agriculture, By Application, 2015–2025 (USD Million)
Table 23 AI (Chipsets) Market for Retail, By Region, 2015–2025 (USD Million)
Table 24 AI (Chipsets) Market for Retail, By Technology, 2015–2025 (USD Million)
Table 25 AI (Chipsets) Market for Retail, By Application, 2015–2025 (USD Million)
Table 26 AI (Chipsets) Market for Security, By Region, 2015–2025 (USD Million)
Table 27 AI (Chipsets) Market for Security, By Technology, 2015–2025 (USD Million)
Table 28 AI (Chipsets) Market for Security, By Application, 2015–2025 (USD Million)
Table 29 AI (Chipsets) Market for Hr, By Region, 2015–2025 (USD Million)
Table 30 AI (Chipsets) Market for Hr, By Technology, 2015–2025 (USD Million)
Table 31 AI (Chipsets) Market for Hr, By Application, 2015–2025 (USD Million)
Table 32 AI (Chipsets) Market for Marketing, By Region, 2015–2025 (USD Million)
Table 33 AI (Chipsets) Market for Marketing, By Technology, 2015–2025 (USD Million)
Table 34 AI (Chipsets) Market for Marketing, By Application, 2015–2025 (USD Million)
Table 35 AI (Chipsets) Market for Law, By Region, 2015–2025 (USD Million)
Table 36 AI (Chipsets) Market for Law, By Technology, 2015–2025 (USD Million)
Table 37 AI (Chipsets) Market for Law, By Application, 2015–2025 (USD Million)
Table 38 AI (Chipsets) Market for Fintech, By Region, 2015–2025 (USD Million)
Table 39 AI (Chipsets) Market for Fintech, By Technology, 2015–2025 (USD Million)
Table 40 AI (Chipsets) Market for Fintech, By Application, 2015–2025 (USD Million)
Table 41 AI (Chipsets) Market, By Region, 2015–2025 (USD Billion)
Table 42 AI (Chipsets) Market in North America, By Country, 2015–2025(USD Million)
Table 43 AI (Chipsets) Market in North America, By End-User Industry, 2015–2025 (USD Million)
Table 44 AI (Chipsets) Market in US, By End-User Industry, 2015–2025 (USD Million)
Table 45 AI (Chipsets) Market in Canada, By End-User Industry, 2015–2025 (USD Million)
Table 46 AI (Chipsets) Market in Mexico, By End-User Industry, 2015–2025 (USD Million)
Table 47 AI (Chipsets) Market in Europe, By Country, 2015–2025 (USD Million)
Table 48 AI (Chipsets) Market in Europe, By End-User Industry, 2015–2025 (USD Million)
Table 49 AI (Chipsets) Market in Uk, By End-User Industry, 2015–2025 (USD Million)
Table 50 AI (Chipsets) Market in Germany, By End-User Industry, 2015–2025 (USD Million)
Table 51 AI (Chipsets) Market in France, By End-User Industry, 2015–2025 (USD Million)
Table 52 AI (Chipsets) Market in Italy, By End-User Industry, 2015–2025 (USD Million)
Table 53 AI (Chipsets) Market in Spain, By End-User Industry, 2015–2025 (USD Million)
Table 54 AI (Chipsets) Market in Rest of Europe, By End-User Industry, 2015–2025 (USD Million)
Table 55 AI (Chipsets) Market in APAC, By Country, 2015–2025 (USD Million)
Table 56 AI (Chipsets) Market in APAC, By End-User Industry, 2015–2025 (USD Million)
Table 57 AI (Chipsets) Market in China, By End-User Industry, 2015–2025 (USD Million)
Table 58 AI (Chipsets) Market in Japan, By End-User Industry, 2015–2025 (USD Million)
Table 59 AI (Chipsets) Market in South Korea, By End-User Industry, 2015–2025 (USD Million)
Table 60 AI (Chipsets) Market in India, By End-User Industry, 2015–2025 (USD Million)
Table 61 AI (Chipsets) Market in Rest of APAC, By End-User Industry, 2015–2025 (USD Million)
Table 62 AI (Chipsets) Market in RoW, By Region, 2015–2025(USD Million)
Table 63 AI (Chipsets) Market in RoW, By End-User Industry, 2015–2025 (USD Million)
Table 64 AI (Chipsets) Market in Middle East and Africa, By End-User Industry, 2015–2025 (USD Million)
Table 65 AI (Chipsets) Market in South America, By End-User Industry, 2015–2025 (USD Million)
Table 66 Ranking of Key Companies in AI Chipsets Market (2017)


List of Figures (48 Figures)

Figure 1 Research Design
Figure 2 Bottom-Up Approach
Figure 3 Top-Down Approach
Figure 4 Data Triangulation
Figure 5 AI (Chipsets) Market, By Hardware, 2018 vs 2025 (USD Billion)
Figure 6 AI (Chipsets) Market, By Processor, 2018 vs 2025 (USD Billion)
Figure 7 AI (Chipsets) Market, By Technology, 2015-2025 (USD Billion)
Figure 8 AI (Chipsets) Market, By End-User Industry, 2018 vs 2025 (%)
Figure 9 AI (Chipsets) Market, By Geography, 2018
Figure 10 Improving Computing Efficiency of the AI Chipsets is Expected to Drive the Market Between 2018 and 2025
Figure 11 Processor to Hold the Largest Share of AI (Chipsets) Market During the Forecast Period
Figure 12 AI (Chipsets) Market for Supervised Learning to Hold Largest Size Between 2018 and 2025
Figure 13 China Expected to Hold Largest Share of APAC AI (Chipsets) Market in 2018
Figure 14 US to Hold Largest Share of AI (Chipsets) Market in 2018
Figure 15 Growing Number of Applications of AI Technologies in Various Industry Verticals Driving Market Growth
Figure 16 IP Traffic Growth Projections Till 2021
Figure 17 Supervised Learning to Hold Largest Size of AI (Chipsets) Market for Machine Learning Throughout Forecast Period
Figure 18 AI (Chipsets) Processor Market for GPU to Grow at Highest CAGR During Forecast Period
Figure 19 AI (Chipsets) Market for Manufacturing to Grow at Highest CAGR During Forecast Period
Figure 20 Predictive Maintenance and Machinery Inspection to Hold Largest Share of AI (Chipsets) Market for Manufacturing During Forecast Period
Figure 21 North America to Hold Largest Share of AI (Chipsets) Market for Automotive During Forecast Period
Figure 22 Machine Learning Technology to Dominate AI (Chipsets) Market for Agriculture Throughout Forecast Period
Figure 23 Retail AI (Chipsets) Market for Visual Search to Grow at Highest CAGR From 2018 to 2025
Figure 24 Antivirus/Antimalware to Hold Largest Size of AI (Chipsets) Market for Security in 2018
Figure 25 Applicant Tracking & Assessment to Grow the Highest CAGR in AI (Chipsets) Market for Hr Throughout Forecast Period
Figure 26 AI (Chipsets) Market for Virtual Assistant to Grow at Highest CAGR Between 2018 and 2025
Figure 27 Legal Research Held Largest Market Share in 2018
Figure 28 Virtual Assistant Projected to Witness Highest Growth Between 2018 and 2025
Figure 29 Rapidly Growing Markets Such as China, Japan, Germany, and India Emerging as New Hot Spots in AI (Chipsets) Market
Figure 30 AI (Chipsets) Market in APAC to Grow at Highest CAGR From 2018 to 2025
Figure 31 Market Snapshot: North America
Figure 32 Marketing to Hold Largest Size of Canadian AI (Chipsets) Market Between 2018 and 2025
Figure 33 Market Snapshot: Europe
Figure 34 Healthcare to Hold Largest Size of German AI (Chipsets) Market By 2025
Figure 35 Market Snapshot: Asia Pacific
Figure 36 Marketing to Hold Largest Share of South Korean AI (Chipsets) Market in 2025
Figure 37 Market Snapshot: Rest of the World
Figure 38 Key Developments Adopted By the Top Players in the AI (Chipsets) Market Between 2015 and 2017
Figure 39 Nvidia: Company Snapshot
Figure 40 Intel: Company Snapshot
Figure 41 Xilinx: Company Snapshot
Figure 42 Samsung Electronics: Company Snapshot
Figure 43 Micron Technology: Company Snapshot
Figure 44 Qualcomm Technologies: Company Snapshot
Figure 45 IBM: Company Snapshot
Figure 46 Google: Company Snapshot
Figure 47 Microsoft: Company Snapshot
Figure 48 AWS: Company Snapshot

The AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The major drivers for the growth of this market are increasingly large and complex dataset driving the need for AI and the adoption of AI for improving consumer services. Moreover, the increasing number of AI applications, improving computing power, and declining hardware cost are propelling the market growth.

In the technology segment, machine learning holds the largest share of the AI (chipsets) market. Moreover, the market for computer vision is expected to grow at the highest CAGR from 2018 to 2025. The increasing adoption of machine learning technologies, such as supervised learning, deep learning, and unsupervised learning, in various end-user industries, such as marketing, fintech, retail, cybersecurity, healthcare, and automotive, is driving the growth of machine learning technology in the AI (chipsets) market. The growing adoption of computer vision technology for image processing application, especially in manufacturing and automotive industries, is fueling the growth of computer vision in the AI (chipsets) market.

In the hardware segment, processor holds the largest share of the AI (chipsets) market. The market for memory is expected to witness the highest growth during the forecast period. Growing demand for high-computing processors, especially at servers, is driving the growth of CPU in the AI (chipsets) market. GPU offers high parallel computing capabilities necessary to run machine learning and deep learning applications. To cater to the demand for memory to compute large and complex AI algorithms, high-bandwidth memory is witnessing significant demand.

Among the various end-user industries covered in this report, marketing held the largest market share, followed by security. The growth of AI (chipsets) in marketing is attributed to the increasing use of AI for performance improvement of marketing campaigns through better decision-making and offering personalized content to the target markets. Additionally, applications such as search advertising, social media advertising, and sales and marketing automation are supplementing the growth of AI (chipsets) in marketing.

Artificial Intelligence (Chipsets) Market

Of all the regions, North America held the largest market share in terms of revenue in 2017. The increasing adoption of AI technology in various end-user industries, such as healthcare, manufacturing, automotive, agriculture, retail, marketing, law, and fintech, and strong presence of industry giants and emerging AI companies especially in the US are the key factors supporting the growth of the AI (chipsets) market in North America. The market in APAC is expected to grow at the highest CAGR from 2018 to 2025. Improving IT infrastructure and favorable federal policies in countries such as China, Japan, India, South Korea, Australia, and Singapore are supporting this growth.

The key restraining factors for this market are the lack of skilled workforce and absence of standards and protocols. NVIDIA (US), Intel (US), Xilinx (US), AMD (US), Huawei (China), and Qualcomm Technologies (US) were some of the leading players in the AI (chipsets) market in 2017.

These companies focus on organic as well as inorganic growth strategies for their market expansion. New product developments/launches, and collaborations and partnerships remain the key strategies for companies such as NVIDIA, IBM, Qualcomm, and AMD. In December 2017, NVIDIA introduced TITAN V, the world’s most powerful GPU for PC, driven by the world’s most advanced GPU architecture, NVIDIA Volta. TITAN V excels at computational processing for scientific simulation.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

Please visit https://www.marketsandmarkets.com/knowledge-process-outsourcing-services.asp to specify your custom Research Requirement


-
Request for FREE Sample of this report Send Request