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Artificial Intelligence

Artificial Intelligence Global Market Report 2022: Sector to Reach $1.84 Billion by 2030 at a 32.9% CAGR

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Dublin, Jan. 18, 2023 (GLOBE NEWSWIRE) — The “Artificial Intelligence Market by Component, Deployment, Application, and End-User Industry: Global Opportunity Analysis and Industry Forecast, 2022-2030” report has been added to ResearchAndMarkets.com’s offering.

Artificial Intelligence (AI) Market size was valued at USD 95.60 billion in 2021 and is projected to reach USD 1,847.50 billion by 2030, clocking a CAGR of 32.9% during the forecast period from 2022 to 2030.

Growing urbanization, the need for efficient management & utilization of resources, demand for fast & efficient transport and commute, public safety concerns, and rising demand for a healthy environment with efficient energy consumption propel the demand for smart cities, driving the growth of the AI market.

In addition, AI has been extensively utilized in smart home infrastructure management for gathering data from home automation devices, predicting user behavior, providing maintenance information, and enhancing data security and privacy.

The lack of technical personnel with the appropriate experience and training to implement and operate AI solutions is a major obstacle to the growth of the AI market. In contrast, businesses with specialized technology companies and manufacturing units that require high efficiency are anticipated to adopt robots built into artificial intelligence (AI). This will present ample opportunities for the key players in the AI market in the next decade.

Market Dynamics

Drivers

  • Increased Adoption of AI Technology in Healthcare
  • Growing Adoption of Deep Learning and Neural Networks
  • Increasing Demand for Smart Homes & Smart Cities

Restraints

  • Lack of Standardization and Limited Skilled AI Workforce

Opportunities

  • Rising Demand for Smart Robotics in Manufacturing Industries
  • Growth in Investments to Leverage AI Technology and Rising Government Initiatives

Segment Overview

The global AI market is segmented based on type, end-user, and geography.

  • Based on components, the market is classified into hardware, software, and services.
  • Based on deployment, the market is categorized into cloud and on-premise.
  • Based on application, the market is categorized into virtual assistants/chatbots, forecasts & modeling, text analytics, speech analytics, computer vision, predictive maintenance, and others.
  • Based on end-users, the market is categorized into BFSI, government, aerospace and defense, automotive, healthcare IT & telecom, manufacturing, education, retail & e-commerce, energy & utilities, media & entertainment, and others
  • Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and RoW.

Regional Analysis
The North American region is projected to hold the dominant share by 2030

North America has been at the forefront of AI research and development for decades. North America is home to a large number of technology firms, as well as a multitude of research and development institutions. The United States, Canada, and Mexico are among the major markets for AI-based services and technologies.

In addition, the expanding number of start-ups and government assistance, as well as the increasing use of machine learning to create novel therapeutic and diagnostic procedures in the medical field, are all contributing to the expansion of the regional market. Moreover, US companies are leading innovation in specific branches of artificial intelligence, including network analysis and face recognition for Facebook, and consumer analytics for Amazon.

These companies are developing commodity systems that can be harnessed by the broader business community, large and small, rather than using AI for their own purposes. In North America, AI is used most actively for customer service, research and development, manufacturing, and operations. The factors above are responsible for the growth of the regional AI market.

Key Market Players

The emerging and leading players in the AI market include:

  • IBM
  • Google
  • Microsoft Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • AWS
  • Oracle Corporation
  • SAP SE
  • Apple Inc.
  • Salesforce

Recent Developments
July 2022

SAP SE announced the acquisition of a search-driven analytics firm, Askdata. This acquisition helped German multinational companies to provide better-informed decisions by leveraging AI-driven natural language searches.

June 2022

Alphabet Inc.’s Google launched Vertex AI, a new managed AI platform in the workspace. This new platform democratizes AI by accelerating the adoption of machine learning models across businesses, allowing for the deployment of models in production, ongoing monitoring, and the use of AI to generate business impact.

February 2022

Apple announced the strategic acquisition of AI Music, which uses artificial intelligence to generate tailor-made music. This acquisition would increase Apple’s audio technology that could be used across its slate of audio offerings.

June 2022

AWS launched a machine learning (ML)-powered service, Amazon CodeWhisperer. This service helps increase developers’ productivity by offering code suggestions based on their natural remarks and earlier code.

April 2022

Salesforce launched a new service and marketing cloud innovation that uses trusted data and AI-powered conversational intelligence for customers. These technologies help service teams and marketers to create more personalized experiences for every industry, including retail, manufacturing, and healthcare.

April 2022

HP launched the new HPE Machine Learning Development System. The new system integrates machine learning software platform, computing, accelerators, and networking to develop & train more accurate AI models faster and at scale.

November 2021

IBM announced a partnership with NeuReality to develop AI inference platforms. This partnership evaluated NeuReality’s products for use in IBM’s Hybrid Cloud, including AI use cases, system flows, virtualization, networking, and security.

Key Topics Covered:

1. Introduction

2. Artificial Intelligence Market – Executive Summary

3. Market Overview

4. Market Share Analysis

5. Global Artificial Intelligence Market, by Component

6. Global Artificial Intelligence Market, by Application

7. Global Artificial Intelligence Market, by End-User

8. Global Artificial Intelligence Market, by Deployment

9. Global Artificial Intelligence by Region

10. Company Profiles

For more information about this report visit https://www.researchandmarkets.com/r/24cwlk

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


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Artificial Intelligence

New CPS Protection Platform: TXOne Networks Unveils SageOne at GISec Global

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TAIPEI, April 23, 2024 /PRNewswire/ — TXOne Networks, a frontrunner in the realm of cyber-physical systems (CPS) security, is set to unveil its groundbreaking CPS security platform, SageOne, at the highly anticipated GISec Global from April 23rd to 25th, 2024. Attendees can find TXOne Networks showcasing SageOne at stand B99 in hall 5. This innovative platform consolidates all CPS security products onto a single, central management platform, promising streamlined operations and optimized threat detection capabilities.

SageOne, aptly named “Wise Man Number One,” serves as a comprehensive management console providing a holistic view of the CPS attack surface within operational technology (OT) environments. By enabling centralized control of TXOne’s three core product lines – Stellar for endpoint protection, Element for security inspection, and Edge for network defense – SageOne facilitates integrated OT security throughout the lifecycle of protected assets, ensuring robust threat detection and response mechanisms.
Key features of SageOne include:
CPS Attack Surface Management: Prioritizing operational security by offering clear visibility into the overall security posture of OT environments, SageOne identifies security focal points, illuminating asset information and security controls.Integrated Lifecycle Protection: Through centralized management, SageOne simplifies cybersecurity governance and fosters collaborative defense. It serves as an abstraction layer, facilitating contextualization and consolidation of data across multiple products, offering tailored, task-oriented consoles for executives, security personnel, and plant leaders.CPS Threat Detection & Response: SageOne aggregates security insights from various solutions to scout for potential risks, enabling early caution and response to both known and unknown threats.SageOne’s foundation rests upon advanced components, including Threat Intelligence, Behavior-Based AI Analytics Engines, Compliance Framework, Data Visualizer, and Ecosystem Integrator, ensuring comprehensive protection and seamless integration of different tools and technologies.
With its focus on analyzing unexpected behavior and unknown threats, SageOne enables the identification of suspicious events through cross-telemetry analysis within the OT-native XDR engine. This amalgamation of advanced technologies and user-friendly interface ensures the protection of critical infrastructures.
For rapid threat response, SageOne issues early warnings of suspicious behavior and orchestrates cross-telemetry analysis for CPS Threat Detection & Response. Integrated Lifecycle Protection ensures the security of devices and systems throughout their service life, contributing to great cost efficiency.
TXOne Networks reaffirms its commitment to CPS security and continuous advancement in OT security through SageOne. Visit TXOne Networks at the GISec Global from April 23rd to 25th, 2024, at stand B99 in hall 5.
For further updates and information, follow TXOne Networks on the blog, Twitter, and LinkedIn.
About TXOne Networks:
TXOne Networks provides OT security products ensuring reliability and security in industrial control systems and operational technology environments through the OT Zero Trust methodology. Collaborating with leading industrial manufacturers and critical infrastructure operators, TXOne Networks offers practical and business-friendly approaches to OT defense. Its network and endpoint-based products secure OT networks and mission-critical devices in real-time with high security depth.
Website: www.txone.com 
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Artificial Intelligence

Imparta Launches World’s First Sales Methodology-Aware AI

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LONDON, April 23, 2024 /PRNewswire/ — Imparta Ltd, a global leader in performance improvement for customer-facing teams, has announced the release of i-Coach AI, the world’s first sales methodology-aware AI.

Over the past 18 months, AI has reshaped many industries and professions, with sales being no exception. Yet, generic LLMs such as ChatGPT are poor at coaching, and at selling. Even data-driven AI insights are only as good as the qualitative frameworks that underpin their observations.
i-Coach AI is the first expert Sales AI Coach that follows a proven, structured coaching process, and is fluent in all aspects of sales, account management, negotiation, customer success, commercial and business acumen, sales management and sales leadership. It is powered by Imparta’s award-winning, research-based Agile 3D methodology and complete, modular skills library.
Richard Barkey, Founder and CEO of Imparta, said “GenAI is one of the few truly transformative technologies in our lifetimes, and one that no sales organisation can ignore. We are genuinely excited to introduce i-Coach AI, an enterprise-grade coaching tool for salespeople, managers and leaders. I’m not exaggerating when I say that I’m using i-Coach AI myself, to think through strategies around specific clients, and indeed for the whole business. This tool is designed to integrate seamlessly across various sales ecosystems and tech stacks, and provides targeted, IP-aware coaching and practice simulations of customer conversations, at multiple points of need.”
As part of the launch, Imparta will host a webinar on April 23rd and May 2nd, hosted by Richard Barkey, titled ‘Leveraging Sales Methodology-Aware AI at Scale in the Enterprise’. Click here to learn more.
During this webinar, Richard will announce details of i-Coach AI and Imparta’s upcoming course for sales teams: Leveraging AI for Sales. He will also set out a range of essential use cases that we are rolling out across Imparta’s agile sales ecosystem and across the tech stack.
About Imparta
Imparta is a global leader in performance improvement for Sales, CX and Leadership. Our modular ecosystem includes three elements, developed through 25 years of research and experience with leading global organisations: Agile Sales Methodology, Agile Change Process and AI Sales Technology.
Whether you need to plug a gap in your existing training, provide self-paced learning, or build an entire Sales, CX or Leadership Academy, get in touch at [email protected].
Website: www.imparta.com
Photo: https://mma.prnewswire.com/media/2392278/i_Coach_Imparta_Ltd.jpg
Contact details: Adam [email protected] Tel: +44 (0) 20 7610 8800

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Artificial Intelligence

Innodisk Unveils Groundbreaking MIPI over Type-C Solution for Enhanced AI Vision Applications

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TAIPEI, April 23, 2024 /PRNewswire/ — Innodisk, a leading global AI solution provider, announces the launch of its industry’s first MIPI over Type-C solution. This exclusive technology overcomes traditional MIPI cable lengths limitations, allowing embedded camera modules to be positioned farther from the system. This expands the possibilities for visual AI applications, particularly in smart manufacturing and smart cities, enabling the seamless integration of high-quality vision systems into these evolving environments. 

The increasing popularity of vision-based applications across industries highlights the critical need for high-quality, reliable camera solutions. As computer vision becomes a cornerstone of AI development, the demand for industrial-grade cameras continues to surge. Innodisk recognizes this need and has developed the MIPI over Type-C Solution to address the challenges faced by vision system integrators and developers.
Innodisk’s MIPI over Type-C technology extends the connection distance to 2 meters or more, surpassing the previous 30 cm cable length limitation while maintaining high performance. It enables seamless conversion to a custom USB Type-C interface through a tailor-made adapter board and offers cost-effectiveness compared to SerDes solutions.  Additionally, this solution boasts successful deployments on NVIDIA Jetson, Intel x86, and ARM platforms, with Innodisk actively investing in R&D to ensure ongoing compatibility across various platforms, accelerating the deployment of edge AI applications for clients.  
Innodisk’s MIPI over Type-C camera module solutions are extensively used in various smart applications. They are revolutionizing industries like smart manufacturing, where AMRs and forklifts benefit from high-quality imaging and extended reach. Similarly, shared mobility applications such as shared bikes leverage these modules for enhanced safety and efficiency. By offering a combination of high bandwidth and longer range, Innodisk’s solution removes cable length limitations, unlocking a wave of new possibilities for smart applications.
Innodisk’s MIPI over Type-C solution marks a significant leap forward, building upon its diverse MIPI camera module portfolio and seamless platform integration. This includes compatibility with NVIDIA Jetson, Intel 12th to 13th Gen, Core Ultra processor, AMD Xilinx, and NXP. As the sole Intel-certified MIPI Camera partner in Taiwan, Innodisk collaborates closely with IPC manufacturers, possessing professional integration capabilities to offer comprehensive support and services to customers. The MIPI over Type-C Solution is poised to redefine the future of vision technology, offering performance, flexibility, and affordability.
For more information, please visit: http://www.innodisk.com
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