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Global Artificial Intelligence in Supply Chain Market Research Report: Forecast (2022-27)

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    Report

  • 193 Pages
  • June 2022
  • Region: Global
  • MarkNtel Advisors LLP
  • ID: 5639236
The publisher presents an in-depth examination of the Global Artificial Intelligence (AI) in Cyber Security Market in this new report. The market is predicted to grow at a CAGR of 22.60% between 2022 and 2027. Market dynamics, major current trends, and successful company strategies are all examined in depth. The study recalculates the impact of all the significant factors that could influence market expansion.
Until 2027, the research provides all the critical information including market insights, revenue details, etc. about the target market, as well as the key drivers, trends, constraints, threats and opportunities. Aside from future plans, acquisitions & mergers, and market footprint, the research provides thorough information on the various key companies functioning in the market, their financials, technical advancements, supply chain trends, and important developments.
Our analysts are regularly monitoring and analyzing the significant impact of COVID-19’s uncertainties. The study investigates and assesses the current situation of the dynamic business sector, as well as the current and future effects of COVID-19 on the market. The study contributes significant insights to the report as a prominent market data source.
Note- We are closely monitoring the impact of the Covid-19 pandemic on different industries & bring updated reports with detailed analysis on the market.
Key Benefits for Industry Participants & Stakeholders:
  • Projected CAGR, market share, and market size in terms of value and volume are covered in the study.
  • A comprehensive set of market research studies that includes product/service information, industry analysis, patterns, business research descriptions, and much more.
  • Market performance with historical and forecast data
  • Facilitates industries, firms, and organizations with decision-making.
  • Recent industry trends and developments
  • Competitive landscape and strategies of key players
  • Potential segments and regions exhibiting promising growth
Global Artificial Intelligence (AI) in Cyber Security Market

Segmentation Analysis :

The research includes SWOT Analysis, Porter’s Five Forces Analysis and BPS analysis for every discussed segment which provides vital information for understanding the Global Artificial Intelligence (AI) in Cyber Security Market. The following are the major segments of the market under investigation:Further bifurcates in to, By Application
  • Identity and Access Management (IAM)
  • Universal Transverse Mercator (UTM)
  • Data Loss Prevention (DLP)
  • Security & Vulnerability Management
  • Antimalware
  • Fraud Detection
  • Intrusion detection
  • Threat intelligence Further bifurcates in to, ByTechnology
  • Machine Learning
  • Natural Language Processing
  • Image Processing
  • Voice Recognition
  • Robotics
  • Cognitive Computing Further bifurcates in to, By Component s
  • Hardware
  • Networking Solution
  • Memory Solution
  • Processors
  • Others
Software
  • AI for Network Threat Identification
  • AI Email Monitoring
  • AI-based Antivirus Software
  • AI-based User Behaviour Modelling
  • AI for Fighting AI Threats
  • Others
Services
  • Threat & Vulnerability
  • System & Network Security
  • Data & Application Security
  • Others Further bifurcates in to, ByDeployment
  • On-Premises
  • CloudFurther bifurcates in to, By Security Type
  • Critical Infrastructure Cybersecurity
  • Network Security
  • Cloud Security
  • Internet of Things Security
  • Application Security Further bifurcates in to, ByEnd-User
  • BFSI
  • Retail
  • IT & Telecommunication
  • Healthcare
  • Manufacturing
  • Government & Defence
  • Others (Resources & Utilities, Education, Automotive & Transportation) Further bifurcates in to, By Region
  • North America
  • South America
  • Europe
  • Middle East & Africa
  • Asia Pacific
The Region is expected to maintain its dominance among the geographies and create considerable Global Artificial Intelligence (AI) in Cyber Security market revenue over the forecast period. This is due to a number of growth-related factors that were examined in this study. Market shares and possible future market growth are also studied within the predicted horizon. Major regions covered in the report are as follows, moreover we provide customization services to the clients as per their requirement. Regions included:
Competitive & Rivalry Structure:
The report offers a detailed competitive analysis of the top market competitors to provide users with a comprehensive insight of the Global Artificial Intelligence (AI) in Cyber Security Market. To explain the market’s ups and downs, this research report looked at data from a variety of manufacturers.
  • BAE Systems plc
  • RSA Security LLC
  • IBM Corporation
  • Palo Alto Networks Inc.
  • Fortinet Inc.
  • FireEye Inc.
  • Check Point Software Technologies Ltd.
  • Cisco Systems Inc.
  • Juniper Network Inc.
  • Acalvio Technologies Inc.
  • Darktrace Limited
  • Amazon Web Services Inc.
  • NVIDIA Corporation
  • Cylance Inc.
  • Securonix Inc
Furthermore, the research examines and evaluates the present market landscape by thoroughly examining the aforementioned main firms. To acquire a competitive advantage, industry players are focused on mergers and acquisitions as well as new product launches. In the research, the development strategies used by these companies are examined in depth. The report also includes useful market data gathered from a variety of industry sources.

Table of Contents

1. Introduction
1.1. Research Process
1.2. Assumptions
1.3. Market Segmentation
1.4. Market Definition
2. Executive Summary
3. Global Artificial Intelligence in Supply Chain Market Start-Up Ecosystem, 2017-2022
3.1. Entrepreneurial Activity
3.2. Year on Year Funding Received
3.3. Funding Received by Top Companies
3.4. Key Investors Active in the Market
3.5. Series Wise Funding Received
3.5.1. Seed Funding
3.5.2. Angel Investing
3.5.3. Venture Capitalists (VC) Funding
3.5.4. Others
4. Impact of Covid-19 on the Global Artificial Intelligence in the Supply Chain Market5. Impact of Industry 4.0 on the Global Artificial Intelligence in the Supply Chain Market6. Global Artificial Intelligence in Supply Chain Market Trends & Insights
7. Global Artificial Intelligence in Supply Chain Market Dynamics
7.1. Drivers
7.2. Challenges
8. Global Artificial Intelligence in Supply Chain Market Hotspots & Opportunities9. Global Artificial Intelligence in Supply Chain Market Government Regulations & Policies, 2017-2022
10. Global Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
10.1. Market Size & Analysis
10.1.1. By Revenues (USD Million)
10.2. Market Share & Analysis
10.2.1. By Application
10.2.1.1. Fleet Management
10.2.1.2. Supply Chain Planning
10.2.1.3. Warehouse Management
10.2.1.4. Virtual Assistant
10.2.1.5. Machine Utilization
10.2.1.6. Others (Risk Management, Freight Brokerage, etc.)
10.2.2. By Technology
10.2.2.1. Machine Learning
10.2.2.1.1. Supervised Learning
10.2.2.1.2. Unsupervised Learning
10.2.2.1.3. Reinforcement
10.2.2.2. Natural Language Processing (NLP)
10.2.2.3. Context-Aware Computing
10.2.2.4. Deep Learning
10.2.2.5. Computer Vision
10.2.3. By End User
10.2.3.1. Automotive
10.2.3.2. Aerospace
10.2.3.3. Retail
10.2.3.4. Food & Beverages
10.2.3.5. Others (Healthcare, Energy, etc.)
10.2.4. By Product Offering
10.2.4.1. Hardware
10.2.4.1.1. Processor
10.2.4.1.1.1. Graphics Processing Unit (GPU)
10.2.4.1.1.2. Vision Processing Unit (VPU)
10.2.4.1.1.3. Field-Programmable Gate Array (FPGA)
10.2.4.1.1.4. Application-Specific Integrated Circuit (ASIC)
10.2.4.1.1.5. Others (Tensor Processing Unit (TPU), Microprocessor (MPU)
10.2.4.1.2. Networking
10.2.4.1.3. Memory
10.2.4.2. Software
10.2.4.2.1. AI Solutions
10.2.4.2.2. AI Platform
10.2.4.2.2.1. Application Program Interface (API)
10.2.4.2.2.2. Machine Learning Framework
10.2.4.3. Services
10.2.4.3.1. Deployment & Integration
10.2.4.3.2. Support & Maintenance
10.2.5. By Deployment
10.2.5.1. On-Premise
10.2.5.2. Cloud
10.2.6. By Region
10.2.6.1. North America
10.2.6.2. South America
10.2.6.3. Europe
10.2.6.4. The Middle East & Africa
10.2.6.5. Asia Pacific
11. North America Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
11.1. Market Size & Analysis
11.1.1. By Revenues (USD Million)
11.2. Market Share & Analysis
11.2.1. By Application
11.2.2. By Technology
11.2.3. By End User
11.2.4. By Product Offering
11.2.5. By Deployment
11.2.6. By Country
11.2.6.1. The US
11.2.6.2. Canada
11.2.6.3. Mexico
11.3. The US Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
11.3.1. Market Size & Analysis
11.3.1.1. By Revenues
11.3.2. Market Share & Analysis
11.3.2.1. By End User
11.3.2.2. By Product Offering
11.3.2.3. By Deployment
11.4. Canada Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
11.4.1. Market Size & Analysis
11.4.1.1. By Revenues
11.4.2. Market Share & Analysis
11.4.2.1. By End User
11.4.2.2. By Product Offering
11.4.2.3. By Deployment
11.5. Mexico Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
11.5.1. Market Size & Analysis
11.5.1.1. By Revenues
11.5.2. Market Share & Analysis
11.5.2.1. By End User
11.5.2.2. By Product Offering
11.5.2.3. By Deployment
12. South America Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
12.1. Market Size & Analysis
12.1.1. By Revenues (USD Million)
12.2. Market Share & Analysis
12.2.1. By Application
12.2.2. By Technology
12.2.3. By End User
12.2.4. By Product Offering
12.2.5. By Deployment
12.2.6. By Country
12.2.6.1. Brazil
12.2.6.2. Argentina
12.2.6.3. Rest of South America
12.3. Brazil Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
12.3.1. Market Size & Analysis
12.3.1.1. By Revenues
12.3.2. Market Share & Analysis
12.3.2.1. By End User
12.3.2.2. By Product Offering
12.3.2.3. By Deployment
12.4. Argentina Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
12.4.1. Market Size & Analysis
12.4.1.1. By Revenues
12.4.2. Market Share & Analysis
12.4.2.1. By End User
12.4.2.2. By Product Offering
12.4.2.3. By Deployment
13. Europe Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.1. Market Size & Analysis
13.1.1. By Revenues (USD Million)
13.2. Market Share & Analysis
13.2.1. By Application
13.2.2. By Technology
13.2.3. By End User
13.2.4. By Product Offering
13.2.5. By Deployment
13.2.6. By Country
13.2.6.1. Germany
13.2.6.2. The UK
13.2.6.3. Italy
13.2.6.4. Spain
13.2.6.5. France
13.2.6.6. Rest of Europe
13.3. Germany Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.3.1. Market Size & Analysis
13.3.1.1. By Revenues
13.3.2. Market Share & Analysis
13.3.2.1. By End User
13.3.2.2. By Product Offering
13.3.2.3. By Deployment
13.4. The UK Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.4.1. Market Size & Analysis
13.4.1.1. By Revenues
13.4.2. Market Share & Analysis
13.4.2.1. By End User
13.4.2.2. By Product Offering
13.4.2.3. By Deployment
13.5. Italy Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.5.1. Market Size & Analysis
13.5.1.1. By Revenues
13.5.2. Market Share & Analysis
13.5.2.1. By End User
13.5.2.2. By Product Offering
13.5.2.3. By Deployment
13.6. Spain Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.6.1. Market Size & Analysis
13.6.1.1. By Revenues
13.6.2. Market Share & Analysis
13.6.2.1. By End User
13.6.2.2. By Product Offering
13.6.2.3. By Deployment
13.7. France Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
13.7.1. Market Size & Analysis
13.7.1.1. By Revenues
13.7.2. Market Share & Analysis
13.7.2.1. By End User
13.7.2.2. By Product Offering
13.7.2.3. By Deployment
14. The Middle East & Africa Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
14.1. Market Size & Analysis
14.1.1. By Revenues (USD Million)
14.2. Market Share & Analysis
14.2.1. By Application
14.2.2. By Technology
14.2.3. By End User
14.2.4. By Product Offering
14.2.5. By Deployment
14.2.6. By Country
14.2.6.1. The UAE
14.2.6.2. Saudi Arabia
14.2.6.3. South Africa
14.2.6.4. Rest of Middle East & Africa
14.3. The UAE Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
14.3.1. Market Size & Analysis
14.3.1.1. By Revenues
14.3.2. Market Share & Analysis
14.3.2.1. By End User
14.3.2.2. By Product Offering
14.3.2.3. By Deployment
14.4. Saudi Arabia Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
14.4.1. Market Size & Analysis
14.4.1.1. By Revenues
14.4.2. Market Share & Analysis
14.4.2.1. By End User
14.4.2.2. By Product Offering
14.4.2.3. By Deployment
14.5. South Africa Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
14.5.1. Market Size & Analysis
14.5.1.1. By Revenues
14.5.2. Market Share & Analysis
14.5.2.1. By End User
14.5.2.2. By Product Offering
14.5.2.3. By Deployment
15. Asia-Pacific Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
15.1. Market Size & Analysis
15.1.1. By Revenues (USD Million)
15.2. Market Share & Analysis
15.2.1. By Application
15.2.2. By Technology
15.2.3. By End User
15.2.4. By Product Offering
15.2.5. By Deployment
15.2.6. By Country
15.2.6.1. China
15.2.6.2. India
15.2.6.3. Japan
15.2.6.4. South Korea
15.2.6.5. Rest of Asia Pacific
15.3. China Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
15.3.1. Market Size & Analysis
15.3.1.1. By Revenues
15.3.2. Market Share & Analysis
15.3.2.1. By End User
15.3.2.2. By Product Offering
15.3.2.3. By Deployment
15.4. India Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
15.4.1. Market Size & Analysis
15.4.1.1. By Revenues
15.4.2. Market Share & Analysis
15.4.2.1. By End User
15.4.2.2. By Product Offering
15.4.2.3. By Deployment
15.5. Japan Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
15.5.1. Market Size & Analysis
15.5.1.1. By Revenues
15.5.2. Market Share & Analysis
15.5.2.1. By End User
15.5.2.2. By Product Offering
15.5.2.3. By Deployment
15.6. South Korea Artificial Intelligence in Supply Chain Market Outlook, 2017-2027F
15.6.1. Market Size & Analysis
15.6.1.1. By Revenues
15.6.2. Market Share & Analysis
15.6.2.1. By End User
15.6.2.2. By Product Offering
15.6.2.3. By Deployment
16. Global Artificial Intelligence in Supply Chain Market Key Strategic Imperatives for Success & Growth
17. Competitive Outlook
17.1. Competition Matrix
17.1.1. Application Portfolio
17.1.2. Brand Specialization
17.1.3. Target Markets
17.1.4. Target Applications
17.1.5. Research & Development
17.1.6. Strategic Alliances
17.1.7. Strategic Initiatives
17.2. Company Profiles ((Business Description, Application Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
17.2.1. Hardware Providers
17.2.1.1. Nvidia Corporation
17.2.1.2. Google LLC
17.2.1.3. Intel Corporation
17.2.1.4. Advanced Micro Devices (AMD)
17.2.1.5. Micron Technology Inc.
17.2.1.6. Cerebras Systems Inc.
17.2.2. Software Providers
17.2.2.1. SAP SE
17.2.2.2. SAS
17.2.2.3. Amazon Web Services (AWS)
17.2.2.4. IBM
17.2.2.5. Microsoft Azure
17.2.2.6. Oracle
17.2.3. Telecommunication Data Providers
17.2.3.1. Verizon Communications Inc.
17.2.3.2. AT&T Inc.
17.2.3.3. BT Group
17.2.3.4. The Nippon Telegraph and Telephone Corporation (NTT)
17.2.3.5. Vodafone Group Plc
17.2.3.6. Deutsche Telekom AG
17.2.3.7. Reliance Industries Limited
17.2.4. Networking Solution Provider
17.2.4.1. Cisco Systems
17.2.4.2. Dell
17.2.4.3. VMware, Inc.
17.2.4.4. Schneider Electric SE
17.2.5. Data Analytics
17.2.5.1. Qlik
17.2.5.2. Alteryx
17.2.5.3. Salesforce
18. Disclaimer

Companies Mentioned

  • Nvidia Corporation,
  • Google LLC,
  • Intel Corporation,
  • Advanced Micro Devices (AMD),
  • Micron Technology Inc.,
  • Cerebras Systems Inc.,
  • SAP SE,
  • SAS,
  • Amazon Web Services (AWS),
  • IBM,
  • Microsoft Azure,
  • Oracle,
  • Verizon Communications Inc.,
  • AT&T Inc.,
  • BT Group,
  • The Nippon Telegraph & Telephone Corporation (NTT),
  • Vodafone Group Plc,
  • Deutsche Telekom AG,
  • Reliance Industries Limited,
  • Cisco Systems,
  • Dell,
  • VMware, Inc.,
  • Schneider Electric SE,
  • Qlik,
  • Alteryx,
  • Salesforce,
  • .

Methodology

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