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North America Multimodal Al Market Size, Share & Industry Trends Analysis Report By Offering, By Type (Generative, Translative, Interactive, and Explanatory), By Technology, By Data Modality, By Vertical, By Country and Growth Forecast, 2023 - 2030

Publisher Knowledge Based Value (KBV) Research
Published Dec 15, 2023
Length 99 Pages
SKU # KBV18389082

Description

North America Multimodal Al Market Size, Share & Industry Trends Analysis Report By Offering, By Type (Generative, Translative, Interactive, and Explanatory), By Technology, By Data Modality, By Vertical, By Country and Growth Forecast, 2023 - 2030


The North America Multimodal Al Market would witness market growth of 31.4% CAGR during the forecast period (2023-2030).

Multimodal AI integrates various data sources and types to enable machines to process, analyze, and comprehend information like human perception. Unlike traditional unimodal AI systems, which specialize in a single data type, multimodal AI harnesses the power of multiple modalities to enhance the depth and accuracy of machine understanding. This comprehensive approach allows AI models to glean insights from diverse inputs, making it particularly effective in tasks that require a nuanced comprehension of real-world scenarios. As a fusion of multiple data modalities, including text, images, audio, and video, multimodal AI transcends the limitations of unimodal systems, offering a more holistic understanding of the complex information present in the diverse and dynamic surroundings.

The digital era has shown itself to be an age of unprecedented data generation. Multimodal AI thrives on this data abundance, leveraging diverse datasets encompassing images, text, audio, and video. The richness and variety of these datasets contribute to the robustness of multimodal models, enabling them to handle complex tasks with a higher degree of accuracy. Deep learning, a subset of machine learning, has played a crucial role in the success of multimodal AI. The advent of sophisticated neural network architectures, such as convolutional neural networks (CNNs) for images and recurrent neural networks (RNNs) for sequential data, has significantly improved the ability of AI models to process and extract features from multimodal inputs.

According to the National Institute of Standards and Technology, in 2021, manufacturing contributed $2.3 trillion to the US GDP, amounting to 12.0 % of the total US GDP. Including direct and indirect (i.e., purchases from other industries) value-added, manufacturing contributed an estimated 24 % of GDP. Multimodal AI, combining visual (image and video) data with other modalities, can enhance manufacturing quality control and inspection processes. The technology can identify defects, anomalies, and deviations more accurately, improving product quality. Multimodal AI can enhance workplace safety by monitoring and analyzing data from sensors and cameras to identify potential hazards or unsafe practices. This is critical in maintaining a safe working environment. These aspects will boost the market growth in the coming years.

The US market dominated the North America Multimodal AI Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,196.1 million by 2030. The Canada market is capturing a CAGR of 34.4% during (2023 - 2030). Additionally, The Mexico market would experience a CAGR of 33.2% during (2023 - 2030).

Based on Offering, the market is segmented into Solution, and Services. Based on Solution Deployment Type, the market is segmented into Cloud, and On-premise. Based on Solution Type, the market is segmented into Platform, Software, and Framework. Based on Type, the market is segmented into Generative, Translative, Interactive, and Explanatory. Based on Technology, the market is segmented into Natural Language Processing, Machine Learning, Computer Vision, Context Awareness, and Internet of Things. Based on Data Modality, the market is segmented into Image Data, Video Data, Text Data, Speech & Voice Data, and Audio Data. Based on Vertical, the market is segmented into BFSI, Government & Public Sector, Automotive, Transportation & Logistics, Healthcare & Lifesciences, Media & Entertainment, Manufacturing, Retail & eCommerce, Telecommunications, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet, Inc.), Microsoft Corporation, OpenAI, L.L.C., Meta Platforms, Inc. (Meta), Amazon Web Services, Inc. (Amazon.com, Inc.), IBM Corporation, Twelve Labs Inc., Aimesoft Inc., Jina AI GmbH, and Uniphore Technologies Inc.

Scope of the Study

Market Segments covered in the Report:

By Offering
  • Solution
  • Solution Deployment Type
  • Cloud
  • On-premise
  • Solution Type
  • Platform
  • Software
  • Framework
  • Services
By Type
  • Generative
  • Translative
  • Interactive
  • Explanatory
By Technology
  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Context Awareness
  • Internet of Things
By Data Modality
  • Image Data
  • Video Data
  • Text Data
  • Speech & Voice Data
  • Audio Data
By Vertical
  • BFSI
  • Government & Public Sector
  • Automotive, Transportation & Logistics
  • Healthcare & Lifesciences
  • Media & Entertainment
  • Manufacturing
  • Retail & eCommerce
  • Telecommunications
  • Others
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America
Companies Profiled
  • Google LLC (Alphabet, Inc.)
  • Microsoft Corporation
  • OpenAI, L.L.C.
  • Meta Platforms, Inc. (Meta)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • IBM Corporation
  • Twelve Labs Inc.
  • Aimesoft Inc.
  • Jina AI GmbH
  • Uniphore Technologies Inc.
Unique Offerings from KBV Research
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

99 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Multimodal AI Market, by Offering
1.4.2 North America Multimodal AI Market, by Type
1.4.3 North America Multimodal AI Market, by Technology
1.4.4 North America Multimodal AI Market, by Data Modality
1.4.5 North America Multimodal AI Market, by Vertical
1.4.6 North America Multimodal AI Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.2.4 Geographical Expansion
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2021, Jun – 2023, Dec) Leading Players
4.5 Porter’s Five Forces Analysis
Chapter 5. North America Multimodal AI Market by Offering
5.1 North America Solution Market by Region
5.2 North America Multimodal AI Market by Solution Deployment Type
5.2.1 North America Cloud Market by Region
5.2.2 North America On-premise Market by Region
5.3 North America Multimodal AI Market by Solution Type
5.3.1 North America Platform Market by Country
5.3.2 North America Software Market by Country
5.3.3 North America Framework Market by Country
5.4 North America Services Market by Region
Chapter 6. North America Multimodal AI Market by Type
6.1 North America Generative Market by Country
6.2 North America Translative Market by Country
6.3 North America Interactive Market by Country
6.4 North America Explanatory Market by Country
Chapter 7. North America Multimodal AI Market by Technology
7.1 North America Natural Language Processing Market by Country
7.2 North America Machine Learning Market by Country
7.3 North America Computer Vision Market by Country
7.4 North America Context Awareness Market by Country
7.5 North America Internet of Things Market by Country
Chapter 8. North America Multimodal AI Market by Data Modality
8.1 North America Image Data Market by Country
8.2 North America Video Data Market by Country
8.3 North America Text Data Market by Country
8.4 North America Speech & Voice Data Market by Country
8.5 North America Audio Data Market by Country
Chapter 9. North America Multimodal AI Market by Vertical
9.1 North America BFSI Market by Country
9.2 North America Government & Public Sector Market by Country
9.3 North America Automotive, Transportation & Logistics Market by Country
9.4 North America Healthcare & Lifesciences Market by Country
9.5 North America Media & Entertainment Market by Country
9.6 North America Manufacturing Market by Country
9.7 North America Retail & eCommerce Market by Country
9.8 North America Telecommunications Market by Country
9.9 North America Others Market by Country
Chapter 10. North America Multimodal AI Market by Country
10.1 US Multimodal AI Market
10.1.1 US Multimodal AI Market by Offering
10.1.1.1 US Multimodal AI Market by Solution Deployment Type
10.1.1.2 US Multimodal AI Market by Solution Type
10.1.2 US Multimodal AI Market by Type
10.1.3 US Multimodal AI Market by Technology
10.1.4 US Multimodal AI Market by Data Modality
10.1.5 US Multimodal AI Market by Vertical
10.2 Canada Multimodal AI Market
10.2.1 Canada Multimodal AI Market by Offering
10.2.1.1 Canada Multimodal AI Market by Solution Deployment Type
10.2.1.2 Canada Multimodal AI Market by Solution Type
10.2.2 Canada Multimodal AI Market by Type
10.2.3 Canada Multimodal AI Market by Technology
10.2.4 Canada Multimodal AI Market by Data Modality
10.2.5 Canada Multimodal AI Market by Vertical
10.3 Mexico Multimodal AI Market
10.3.1 Mexico Multimodal AI Market by Offering
10.3.1.1 Mexico Multimodal AI Market by Solution Deployment Type
10.3.1.2 Mexico Multimodal AI Market by Solution Type
10.3.2 Mexico Multimodal AI Market by Type
10.3.3 Mexico Multimodal AI Market by Technology
10.3.4 Mexico Multimodal AI Market by Data Modality
10.3.5 Mexico Multimodal AI Market by Vertical
10.4 Rest of North America Multimodal AI Market
10.4.1 Rest of North America Multimodal AI Market by Offering
10.4.1.1 Rest of North America Multimodal AI Market by Solution Deployment Type
10.4.1.2 Rest of North America Multimodal AI Market by Solution Type
10.4.2 Rest of North America Multimodal AI Market by Type
10.4.3 Rest of North America Multimodal AI Market by Technology
10.4.4 Rest of North America Multimodal AI Market by Data Modality
10.4.5 Rest of North America Multimodal AI Market by Vertical
Chapter 11. Company Profiles
11.1 Twelve Labs Inc.
11.1.1 Company Overview
11.2 Aimesoft
11.2.1 Company Overview
11.2.2 Recent strategies and developments:
11.2.2.1 Product Launches and Product Expansions:
11.2.2.2 Geographical Expansions:
11.3 Jina AI GmbH
11.3.1 Company Overview
11.4 Uniphore Technologies Inc.
11.4.1 Company Overview
11.4.2 Recent strategies and developments:
11.4.2.1 Partnerships, Collaborations, and Agreements:
11.4.2.2 Acquisition and Mergers:
11.5 Google LLC (Alphabet Inc.)
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental and Regional Analysis
11.5.4 Research & Development Expense
11.5.5 Recent strategies and developments:
11.5.5.1 Partnerships, Collaborations, and Agreements:
11.5.5.2 Product Launches and Product Expansions:
11.5.6 SWOT Analysis
11.6 Microsoft Corporation
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expenses
11.6.5 Recent strategies and developments:
11.6.5.1 Partnerships, Collaborations, and Agreements:
11.6.5.2 Product Launches and Product Expansions:
11.6.6 SWOT Analysis
11.7 OpenAI, L.L.C.
11.7.1 Company Overview
11.7.2 Recent strategies and developments:
11.7.2.1 Partnerships, Collaborations, and Agreements:
11.7.3 SWOT Analysis
11.8 Meta Platforms, Inc. (Meta)
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Segment and Regional Analysis
11.8.4 Research & Development Expense
11.8.5 Recent strategies and developments:
11.8.5.1 Partnerships, Collaborations, and Agreements:
11.8.5.2 Product Launches and Product Expansions:
11.8.6 SWOT Analysis
11.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Segmental Analysis
11.9.4 Recent strategies and developments:
11.9.4.1 Partnerships, Collaborations, and Agreements:
11.9.4.2 Product Launches and Product Expansions:
11.9.5 SWOT Analysis
11.10. IBM Corporation
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Regional & Segmental Analysis
11.10.4 Research & Development Expenses
11.10.5 Recent strategies and developments:
11.10.5.1 Partnerships, Collaborations, and Agreements:
11.10.5.2 Product Launches and Product Expansions:
11.10.6 SWOT Analysis

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