Generative AI Market Outlook and Forecasts 2023 – 2030

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,500	285 Pages	Mind Commerce	July, 2023	CCJQ18063092

Best Price Guarantee
Price	from $4,500
Length	285 Pages
Publisher	Mind Commerce
Published Date	July, 2023
SKU	CCJQ18063092

Generative AI Market Outlook and Forecasts 2023 – 2030

Overview:

This report assesses the anticipated impact of generative AI market in various areas including ChatGPT in embedded consumer devices, IoT systems, software and general-purpose platforms. The report discusses the inherent relation of generative AI with AGI, ASI, and strong AI, the impact of enabling technology like 5G, Industry 4.0, MEC, self-driven network, and others, the potential implication and use cases in different industry verticals.

Select Report Findings:

Generative AI market will reach $120.3B by 2030

North America will lead Generative AI market globally

API-enabled solutions will be fasted growing at 47% CAGR

Healthcare will be the leading industry vertical for generative AI

Generative AI is a type of artificial intelligence that is capable of generating new and original data or content, such as images, music, or text. Unlike other types of AI, which are designed to recognize and classify existing data, generative AI uses algorithms to create new data that did not previously exist. This is done by analyzing patterns and relationships within the data and generating new content based on those patterns.

The technology is advancing rapidly, with new models and architectures being developed to improve the quality and diversity of generated content. The technology like GANs, transformers, and VAEs, which allowed for more realistic and complex generative models. However, challenges still existed in areas such as data privacy and bias, which needed to be addressed to ensure ethical and fair use of the technology.

The market is driven by the increasing need for automation and the growing adoption of generative AI in various industries. Additionally, the rise of deep learning algorithms and the availability of large datasets have also fueled market growth.

Companies in Report:

Adept AI Labs

Adobe Inc.

Advanced Micro Devices Inc.

AIBrian Inc.

Alphabet Inc.

Altair Engineering Inc.

Amazon Inc.

Anthropic

Apple Inc.

Archistar Pty Ltd

ARM Limited

Baidu Inc.

Buddy

Circle Labs

Cisco Systems

CloudMinds

CoLane (Fraight AI)

CommonSim-1 (csm.ai)

CoPilot

Cresta

Deepdub.ai

Descript

D-ID (De-Identification Ltd.)

Digital Reasoning Systems Inc.

EmailTriager

Fiddler AI

General Electric

General Vision Inc.

Genie AI Ltd.

Glean Technologies Inc.

Grain

Graphcore

H2O.ai

Hebbia AI

Hewlett Packard Enterprise

Huawei Technologies Co. Ltd.

HubSpot (Motion AI)

Hugging Face

IBM Corporation (SXiQ)

Inbenta Technologies Inc.

Intel Corporation

iRobot Corporation

Jasper AI

LG Electronics

Lockheed Martin

Meta Platform

Microchip Technology (Atmel Corporation)

Microsoft Corporation

MOSTLY AI

Nuance Communications Inc.

Oracle Corporation

OthersideAI (HyperWrite)

Otter.ai

Qualcomm Incorporated

RelationalAI

Rephrase.ai

Rockwell Automation Inc.

Samsung Electronics Co Ltd.

Sanas.ai

Scribe

Sentient.io

SK Telecom

Snowflake Inc (Streamlit)

SoftBank Robotics Holding Corp.

SparkCognition Inc.

Stability AI

Synthesia Limited

Thales Group (Gemalto N.V.)

Tonic.ai

Ultraleap (Leap Motion)

Weights & Biases

Wind River Systems Inc.

1.0 Executive Summary
2.0 Introduction: 2.1 Defining Generative AI; 2.1.1 Relation with AGI; 2.1.2 Relation with ASI; 2.1.3 Strong AI and Generative AI; 2.1.4 Machine Learning and Generative AI; 2.1.5 Conversational User Interface and Generative AI; 2.1.6 Stakeholder Benefits; 2.2 How Generative AI Functions; 2.3 Generative AI and Ethics; 2.4 Generative AI to Replace Many Human Functions; 2.5 Market Segmentation Analysis; 2.5.1 Generative AI Infrastructure Market; 2.5.2 Generative AI Software Market; 2.5.3 Generative AI Service Market; 2.6 Market Dynamic Analysis; 2.6.1 Market Driver Analysis; 2.6.2 Market Challenge Analysis; 2.6.3 Market Opportunity Analysis; 2.7 Pandemic Impact Analysis; 2.8 Generative AI Value Chain Analysis; 2.8.1 Hardware Manufacturers; 2.8.2 IoT Companies; 2.8.3 Software Companies; 2.8.4 Analytics Providers; 2.8.5 AI Companies; 2.8.6 End Users; 2.9 Regulatory Scenario Analysis; 2.10 Competitive Landscape Analysis; 2.11 Recent Industry Development; 2.12 Generative AI Investment Analysis
3.0 Technology and Application Analysis: 3.1 Generative AI Infrastructure Analysis; 3.1.1 Consumer Device; 3.1.1.1 Wearable Device; 3.1.1.2 Smartphone; 3.1.1.3 Tablet; 3.1.1.4 Desktop; 3.1.1.5 Laptop; 3.1.2 Embedded IoT Device; 3.1.2.1 Medical Equipment; 3.1.2.2 Smart Appliances; 3.1.2.3 Industrial Machines; 3.1.2.4 Robotics Device and Drone; 3.1.2.5 Entertainment Device; 3.1.2.6 Security Devices; 3.1.2.7 Networking Devices; 3.1.2.8 V2X Devices; 3.1.2.9 Smart Grid Device; 3.1.2.10 Military Device; 3.1.2.11 Energy Management Device; 3.1.2.12 Agriculture Specific Device; 3.1.3 Embedded IoT System; 3.1.3.1 Connected home system; 3.1.3.2 Public place monitoring system; 3.1.3.3 Connected utility system; 3.1.3.4 Precision Agriculture Systems; 3.1.3.5 Smart Parking Systems; 3.1.3.6 Smart Apparel; 3.2 Generative AI Software Analysis; 3.2.1 Embedded Software; 3.2.1.1 Generative Intelligence; 3.2.1.2 Chatbots and Intelligent Digital Assistants; 3.2.1.3 Monitoring and Tracking; 3.2.1.4 Surveillance and Security; 3.2.1.5 Analytics and Insights; 3.2.1.6 D2D Communication; 3.2.1.7 Authentication and Authorization; 3.2.1.8 Regulatory and Compliance; 3.2.2 AI Platform; 3.2.2.1 API Solution; 3.2.2.2 SDK Solution; 3.3 Generative AI Technology Analysis; 3.3.1 Generative Adversarial Networks; 3.3.2 Transformers; 3.3.3 Variational Auto-encoders; 3.3.4 Diffusion Networks; 3.4 Enabling Technology and Impact Analysis; 3.4.1 LTE vs. 5G Connectivity; 3.4.2 Multiaccess Edge Computing; 3.4.3 Industry 4.0 and Factory Automation; 3.4.4 Self-Driven Network and Domain Specific Network; 3.4.5 Cloud Robotics and Surveillance; 3.4.6 Predictive Analytics and Design; 3.4.7 Smart Workplace and City Management; 3.5 Generative AI Product Analysis: Text vs. Video vs. Image; 3.6 Generative AI Deployment Analysis: On-premise vs. Cloud vs. Hybrid; 3.7 Generative AI Adoption Analysis: SMBs vs. Large Enterprise vs. Government Institute; 3.8 Generative AI Application and Use Case Analysis; 3.8.1 Media, Advertising, & Entertainment; 3.8.2 Banking and Financial Institute; 3.8.3 Telecommunication & IT; 3.8.4 Healthcare Infrastructure and Medical Services; 3.8.5 Automotive, Transportation and Logistics; 3.8.6 Industrial and Manufacturing; 3.8.7 Retail, Apparel, and other Consumer Products; 3.8.8 Building and Construction; 3.8.9 Agriculture; 3.8.10 Security and Surveillance; 3.8.11 Government, Military and Defense; 3.8.12 Utilities and Energy Exploration; 3.8.13 Education and Adult Learning
4.0 Generative AI Company Analysis: 4.1 Adobe Inc.; 4.2 Amazon Inc.; 4.3 D-ID (De-Identification Ltd.); 4.4 Genie AI Ltd.; 4.5 Alphabet Inc.; 4.6 IBM Corporation (SXiQ); 4.7 Microsoft Corporation; 4.8 MOSTLY AI; 4.9 Rephrase.ai; 4.10 Synthesia Limited; 4.11 Open AI (ChatGPT); 4.12 Altair Engineering Inc.; 4.13 Archistar Pty Ltd; 4.14 OpenAPI Initiative; 4.15 Anthropic; 4.16 Cresta; 4.17 Adept AI Labs; 4.18 Stability AI; 4.19 Jasper AI; 4.20 Circle Labs; 4.21 Hugging Face; 4.22 Glean Technologies Inc.; 4.23 Snowflake Inc (Streamlit); 4.24 Deepdub.ai; 4.25 Weights & Biases; 4.26 Tonic.ai; 4.27 Fiddler AI; 4.28 OthersideAI (HyperWrite); 4.29 RelationalAI; 4.30 Hebbia AI; 4.31 Sanas.ai; 4.32 CommonSim-1 (csm.ai); 4.33 CoPilot; 4.34 Descript; 4.35 EmailTriager; 4.36 Grain; 4.37 Mem Mem Labs Inc.; 4.38 Otter.ai; 4.39 Scribe; 4.40 24/7.ai Inc.; 4.41 Advanced Micro Devices Inc.; 4.42 AIBrian Inc.; 4.43 Apple Inc.; 4.44 ARM Limited; 4.45 Microchip Technology (Atmel Corporation); 4.46 Baidu Inc.; 4.47 Buddy; 4.48 Cisco Systems; 4.49 CloudMinds; 4.50 Digital Reasoning Systems Inc.; 4.51 Meta Platform; 4.52 CoLane (Fraight AI); 4.53 Thales Group (Gemalto N.V.); 4.54 General Electric; 4.55 General Vision Inc.; 4.56 Graphcore; 4.57 H2O.ai; 4.58 Hewlett Packard Enterprise; 4.59 Huawei Technologies Co. Ltd.; 4.60 Inbenta Technologies Inc.; 4.61 Intel Corporation; 4.62 iRobot Corporation; 4.63 Ultraleap (Leap Motion); 4.64 LG Electronics; 4.65 Lockheed Martin; 4.66 HubSpot (Motion AI); 4.67 Nuance Communications Inc.; 4.68 Oracle Corporation; 4.69 Qualcomm Incorporated; 4.70 Rockwell Automation Inc.; 4.71 Samsung Electronics Co Ltd.; 4.72 Sentient.io; 4.73 SK Telecom; 4.74 SoftBank Robotics Holding Corp.; 4.75 SparkCognition Inc.; 4.76 Wind River Systems Inc.
5.0 Generative AI Market Analysis and Forecasts 2023 – 2030: 5.1 Global Generative AI Market 2023 – 2030; 5.1.1 Global Generative AI Market 2023 – 2030; 5.1.2 Global Generative AI Market by Component; 5.1.2.1 Global Generative AI Market by Hardware; 5.1.2.1.1 Global Generative AI Market by Embedded Device; 5.1.2.1.1.1 Global Generative AI Market by Consumer Device; 5.1.2.1.1.2 Global Generative AI Market by Embedded IoT Device; 5.1.2.1.2 Global Generative AI Market by Embedded IoT System; 5.1.2.2 Global Generative AI Market by Software; 5.1.2.2.1 Global Generative AI Market by Embedded Software Solution; 5.1.2.2.2 Global Generative AI Market by Platform Solution; 5.1.2.3 Global Generative AI Market by Service Type; 5.1.2.3.1 Global Generative AI Market by Professional Service Type; 5.1.3 Global Generative AI Market by Technology; 5.1.4 Global Generative AI Market by Product Type; 5.1.5 Global Generative AI Market by Deployment Model; 5.1.6 Global Generative AI Market by Enterprise; 5.1.7 Global Generative AI Market by Industry Vertical; 5.1.7.1 Global Generative AI Market by Media, Advertising, & Entertainment Application; 5.1.7.2 Global Generative AI Market by Banking and Financial Application; 5.1.7.3 Global Generative AI Market by Telecommunication & IT Application; 5.1.7.4 Global Generative AI Market by Healthcare & Medical Application; 5.1.7.5 Global Generative AI Market by Automotive, Transportation & Logistics Application; 5.1.7.6 Global Generative AI Market by Industrial & Manufacturing Application; 5.1.7.7 Global Generative AI Market by Retail, Apparel, & Consumer Electronics Application; 5.1.7.8 Global Generative AI Market by Building and Construction Application; 5.1.7.9 Global Generative AI Market by Agriculture Application; 5.1.7.10 Global Generative AI Market by Security and Surveillance Application; 5.1.7.11 Global Generative AI Market by Government, Military and Defense Application; 5.1.7.12 Global Generative AI Market by Utility and Energy Application; 5.1.7.13 Global Generative AI Market by Education and Legal Application; 5.1.8 Global Generative AI Market by Region; 5.1.8.1 North America Generative AI Market by Country; 5.1.8.2 Europe Generative AI Market by Country; 5.1.8.3 APAC Generative AI Market by Country; 5.1.8.4 MEA Generative AI Market by Country; 5.1.8.5 Latin America Generative AI Market by Country; 5.2 Regional Generative AI Market 2023 – 2030; 5.2.1 North America Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical; 5.2.2 Europe Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical; 5.2.3 APAC Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical; 5.2.4 MEA Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical; 5.2.5 Latin America Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical; 5.3 Global Generative AI Embedded Unit Deployment 2023 – 2030; 5.3.1 Global Generative AI Embedded Unit Deployment 2023 – 2030; 5.3.2 Global Generative AI Embedded Unit Deployment by Component; 5.3.2.1 Global Generative AI Embedded Unit Deployment by Consumer Device; 5.3.2.2 Global Generative AI Embedded Unit Deployment by IoT Device; 5.3.2.3 Global Generative AI Embedded Unit Deployment by Embedded IoT System; 5.3.2.4 Global Generative AI Embedded Unit Deployment by Software; 5.3.2.4.1 Global Generative AI Embedded Unit Deployment by Embedded Software; 5.3.2.4.2 Global Generative AI Embedded Unit Deployment by Platform Solution; 5.3.3 Global Generative AI Embedded Unit Deployment by Region; 5.3.3.1 North America Generative AI Embedded Unit Deployment by Country; 5.3.3.2 Europe Generative AI Embedded Unit Deployment by Country; 5.3.3.3 APAC Generative AI Embedded Unit Deployment by Country; 5.3.3.4 MEA Generative AI Embedded Unit Deployment by Country; 5.3.3.5 Latin America Generative AI Embedded Unit Deployment by Country
6.0 Conclusions and Recommendations: 6.1 Advertisers and Media Companies; 6.2 Artificial Intelligence Providers; 6.3 Automotive Companies; 6.4 Broadband Infrastructure Providers; 6.5 Communication Service Providers; 6.6 Computing Companies; 6.7 Data Analytics Providers; 6.8 Immersive Technology Providers; 6.9 Networking Equipment Providers; 6.10 Networking Security Providers; 6.11 Semiconductor Companies; 6.12 IoT Suppliers and Service Providers; 6.13 Software Providers; 6.14 Smart City System Integrators; 6.15 Automation System Providers; 6.16 Social Media Companies; 6.17 Workplace Solution Providers; 6.18 Mobile Network Operators; 6.19 Enterprise and Government