V2X Cybersecurity Market to Skyrocket to USD 890.2 Million by 2030 with a 52% CAGR

The V2X cybersecurity market achieved revenue of USD 47.6 million in 2023, and it is expected to grow at a rate of 52.0% during 2024–2030, reaching USD 890.2 million by 2030. It is because of the improvements that V2X technologies and the connections among automobiles have that this is happening.

Cellular vehicle-to-everything (C-V2X) is the technology that makes communication between cars with each other and with many elements of the surrounding area possible, using a single platform, Cellular. It allows for a safer driving experience, improving traffic flow efficiency and enabling autonomous driving. These features are why it is considered by many to be a basic component of connected and autonomous vehicles.

Like before, the cars can listen to the traffic alters on the vehicles which are equipped with C-V2X and utilize the information to navigate towards the roads with the least traffic. These facilitate a smoother flow of traffic and superior transportation efficiency, thereby introducing the wrinkle of vulnerability which viz.

Machine-to-machine communication (V2X) is what increases road safety because it is the real-time communication between smart vehicles. This stops vehicles from hitting each other as they can sense the presence of objects ahead and change the path. It warns drivers of the hazardous step, and it calls for them to take part in insurance to prevent accidents.

Key Insights

• DSRC holds a larger market share of around 65% in 2023.

• DSRC enables direct communication between cars without intermediary networks, improving information flow speed and efficiency.

• This communication means speed, allows for consistency in V2V (Vehicle-to-Vehicle) and V2I communication, and works just as well during hazardous weather.

• Exchanging DSRC permits the vehicles to ascertain the validity of received messages and any dubious activities are also notified to the drivers about it.

• While a cellular communication growth rate of 52.3% is projected for the 2024–2030 period, it is anticipated to rise quickly.

• It is because of the automotive or transportation 5G technology enhancements and vehicle system security policy against cyber dangers.

• V2V (Vehicle-to-Vehicle) communication held the largest market share of around 40% in 2023 due to the increased use of telematics systems in vehicles.

• V2G (Vehicle-to-Grid) communication is expected to be the fastest-growing category, with a predicted CAGR of 52.7% during 2024–2030.

• Endpoint security is the largest category with a 50% share in 2023 due to its role in setting rules for devices before they can connect to a network, ensuring compliance with policies.

• On-board units (OBUs) dominated the market in 2023 with advanced security mechanisms like encryption and authentication protocols for secure communication and data protection.

• The roadside unit (RSU) category is expected to witness a higher CAGR of 52.2% during 2024–2030, facilitating real-time data exchange between vehicles and infrastructure for traffic management and road safety.

• Public Key Infrastructure (PKI) is the larger category with an 80% market share in 2023, offering robust security measures like encryption and authentication through certificates in V2X communication.

• APAC held the largest share in the V2X cybersecurity market in 2023 due to increased sales of V2X-equipped vehicles, creating opportunities for automotive OEMs and software vendors.

• North America is expected to be the fastest-growing market with a CAGR of 53.0% during 2024–2030, driven by high automobile demand and investments in automotive cybersecurity.

• North America benefits from an established IT infrastructure and numerous automotive software companies, facilitating the availability and usability of cybersecurity solutions in the region.

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U.A.E. Property Management Software Market to Hit USD 112.3 Million by 2030, Driven by SaaS and Cloud Adoption

The U.A.E. property management software market was valued at USD 68.2 million in 2023, and it will touch USD 112.3 million, advancing at over 7.3% CAGR, by 2030.

This growth is because of the increasing need for the software-as-a-service (SaaS) model of property management, surging construction activities, and growing demand for remote property management.

The arrival of cloud technology is a key innovation in the software sector. Cloud technology has significantly impacted the means software applications are delivered to customers. 

This transformation has allowed software developers to emphasize more on the technology part of software while outsourcing the management part to cloud service providers.

Cloud computing and software-as-a-service (SaaS) incorporated services have increased fame as a way of delivering services. Establishments of all sizes will profit from subscription-based SaaS solutions. 

Companies operating in this industry are progressively turning to SaaS solutions to streamline procedures by automating workflows as well as manual input.

The application of cutting-edge technologies in property management software is a major trend being observed in this industry.

The implementation of AI in property management software can reduce cost and time. Building operations can be data-driven, a method that can assist property owners examine and organizing their data for enhanced customer services.

Key Insights

• The services category will propel at a higher compound annual growth rate, of 7.2%, during this decade. 

• In 2023, the deployment and integration category accounted majority of the share, and the category will further advance at a healthy rate in the coming years. 

• This can be credited to the increasing employment of software through companies’ cloud stations and the fact that they simplify their work-associated incorporation.

• The rising need for cloud-based enterprise presentations and growing demand for cloud computing services have further assisted this category expansion.

• In 2023, the deployment of software through the cloud accounted for the larger share of the industry, and it will further grow at a higher rate, of 6.9%, in the coming years.

• The surging data production via websites and mobile apps, increasing emphasis on developing customer-centric applications, to improve customer satisfaction, and the growing requirement to reduce OPEX and CAPEX are driving this category.

• Property managers was the larger contributor to the industry in 2023, with more than 70% share, and it will further advance at a higher rate, of 7.2%, in the years to come. 

• Property managers have become the major users of property management software because it enables them to maintain various tasks across many commercial and residential properties, to make their tenants pleased and willing to renew their agreements.

• The U.A.E. property management software industry is competitive with a mix of local and international players providing property management software solutions.

• Major players are partnering with other players to enhance revenue generation. 

• For example, RealPage Inc. has partnered with Airbnb to introduce a solution named “Migo”, to make housing more inexpensive. 

• The solution provides the technology to make it easier for property owners and residents, by incorporating with service providers to make Airbnb work better in apartments.

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Global Cognitive Supply Chain Market to Triple by 2030, Driven by AI and Sustainability

According to the latest market research study published by P&S Intelligence, the cognitive supply chain industry was valued at USD 8,798.2 million in 2023, which is projected to surge to USD 24,982.7 million in 2030, experiencing a 16.2% CAGR during the forecast period.

Cognitive SCM solutions represent the potent tools that contribute to minimizing loss, selecting favorable distribution channels, and empowering green practices increasingly accepted by the global business community. In this sense, both business sustainability goals and the rest of the global supply chain in which the company is part are able to simultaneously shift to more sustainable practices.

Perhaps the most prominent case is the high demand experienced in the era of increasing trade for green and efficient supply chain solutions. Closed loop control and complete operation supervising on complex global networks are done with the help of cognitive supply chain solutions. Therefore, it makes the processing of decisions that are connected with intricate supply chains smooth. Now what is being pursued as slap technology for better utilization of the resources that are embedded in the current waste cycles and environment-friendly processing practices is guided by sustainability.

Supply chain operations are forging into the AI and ML technologies sphere as these bring intelligent insights and process automation. AI-assisted in-demand forecasting, inventory optimization, and dynamic route planning were achieved by analyzing the patterns within data through predictive analytics.

Key Insights

• Large enterprises held a larger market share due to their ability to invest in modern technologies like cognitive supply chain solutions.
• These enterprises can afford complete cognitive systems with autonomous decision-making, real-time visibility, and predictive analytics.
• Large organizations most often integrate into the global supply chain, involving several regions and companies within the network, therefore it is technology-oriented and intended to simplify operations, help managers make better decisions, and mitigate risks.
• SMEs will be able to see quicker growth when they apply cognitive more affordable and suitable supply chain solutions across their businesses.
• The machine learning category is expected to grow at a CAGR of 16.5% during 2024–2030 and hold the largest market share.
• ML enables data-driven decision-making, cost reduction, productivity increase, and optimization of supply chain processes.
• ML-driven solutions automate tasks, analyze large data volumes, and identify patterns and insights for a competitive edge.
• The on-premises category held a larger market share, approximately 65%, in 2023.
• This deployment mode offers more customization options for cognitive supply chain solutions tailored to specific business needs.
• Integrating these solutions into existing workflows is easier with on-premises deployment.
• Older technologies can often work more efficiently when combined with on-premises solutions.
• North America is the largest market region, expected to contribute around 50% of global revenue by 2030.
• Factors driving North America's dominance include a strong focus on efficiency, cost savings, and productivity improvement.
• Cognitive supply chain technologies enable businesses in North America to detect patterns, forecast demand, and optimize logistics so that the number of resources involved is reduced with a subsequent drop in waste.
• The emerging AI and big data are the fundamental enablers of the transition to cognitive supply chain solutions across the region.
• Along with North America, Europe represents a rather big piece of the pie, as countries like Germany, the UK, and France quickly implement cognitive solutions for supply chain management.
• A partnership between technology firms, institutions of learning, and business leaders makes it possible for Europe to shift forward with innovation and quickly find solutions for implementation.

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Broadcasting Revolution: Playout Automation and Channel-in-a-Box Market Set for Explosive Growth by 2030

In 2023, the playout automation and channel-in-a-box industry attained revenue of USD 2,887.3 million, which is projected to advance at a rate of 16.0% over the projection period, to touch USD 8,106.4 million by 2030. The rising need for quality content between viewers proposes the development of this branch of business. Thus, the e-learning industry and also online education is rising in demand.

With the growth of the demand for quality audio and videos, companies more and more are focusing on the graphics and videos they use. This trend is reflected in gaming, e-learning, entertainment, and multimedia areas.

As many users are seeking for better quality content, this branch is expanding. Besides that, e-learning and online education are also rising in demand.

The wayward desire to watch the most modern streaming video content flings the likes of Netflix, Amazon Prime and Disney+ into upgrading their audio and video quality never before like that. By these means, the providers are supported with a basket of solutions addressing the increasing demands but still providing the best quality.

Automated playout systems facilitate content transmission correctly and perform the distribution and transmission processes continually to match the continually higher demand for video content. Playout automation and channel-in-a-box solutions can increase the transmission area that covers national and international broadcasting networks, thus easing content transmittance everywhere around the world.

 

The current digital shift, together with the rising need for content from sectors such as media, entertainment, education, and gaming, fosters the growth of broadcasting activities.

 

Key Insights

 

·  The multiple-channel category is expected to witness the highest CAGR, of 16.5%, during the forecast period.

·  During the projection period, the multiple-channel category is projected to advance at a CAGR of 16.5%.

·  The growing need for entertainment and news worldwide is propelling the acceptance of multiple-channel platforms.

·  Such platforms provide varied content to entice audiences with different interests.

·  Numerous channels enable broadcasting content throughout different regions, increasing the audience reach.

·  Partnerships with well-known international broadcasters improve credibility and worldwide existence, propelling industry development.

·  Sports is estimated to have a CAGR of 16.8% in the projection period, making it the fastest-rising category.

·  The growing popularity of sports worldwide, propelled by populace development, financial prosperity, and technical improvements, contributes to this development.

·   Automation in sports broadcasting advances the viewing experience and decreases error rates.

·   The cloud category is projected to advance quickly because of its shortage of physical infrastructure requirements.

·  Cloud-based solutions provide simple access through online servers, removing the requirement for on-site hardware.

·   High scalability in cloud platforms lets establishments adjust resources based on demand, easing quick responses without substantial changes in hardware or software.

·  In the coming years, the education and corporate category will witness the highest CAGR of 16.6%.

·  Playout automation and channel-in-a-box solutions are enhancing information quality for students, teachers, and corporate employees.

·   In 2023, the North American region dominated the playout automation and channel-in-a-box industry, propelled by rising broadcasting businesses and digital platform integration.

·  Major propellers include technical improvements, competitive pressures, demand expansion, shifting customer preferences, and supportive economic conditions.

· Asia-Pacific (APAC) is expected to be the fastest-growing market, with a CAGR of 16.6% from 2024 to 2030.

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Generative Artificial Intelligence - Global Industry Analysis and Future Scope

In 2023, the generative AI market reached a value of USD 12 billion and is projected to reach USD 81.1 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 31.6% during the forecast period from 2024 to 2030. This growth of the market can be credited to the potential to transform the whole market by offering new opportunities for innovation and automation.

Generative AI is a set of algorithms that can produce realistic content by utilizing training data, like images, text, and audio. For example, ChatGPT is trained on huge sizes of text for summary extraction, sentimental monitoring, and answering questions.

The primary focus of generative adversarial networks (GANs) is to create novel information that appears recognizable when one sees the actual data sets. Rather than purely focusing on the expansion of basic AI systems, these new methods emphasize deep learning to produce data samples.

These models are multi-modal in nature, in other words, they are able to handle multiple processes simultaneously. With the help of these models, the level of human-machine communication has increased so much, especially with the help of natural language processing (NLP).

One of the key reasons that is aiding this gen-AI industry advance is the presence of large language models, due to their excellent capability to make, manipulate, and understand natural language.

In 2023, the Software category had the highest revenue share, of approximately 55%, in the industry. Software is the basis of this industry and offers the algorithms, frameworks, and tools that are essential for generative AI applications.

The natural language processing category is dominating the market, and the category is also projected to advance at a substantial CAGR, of 31.8%, during the projection period. The growths in NLP are allowing the making of complex language models and text. Numerous applications, like chatbots, content generation, and artificial intelligence, are being completely changed with the aid of these improvements.

On the basis of end users, the media and entertainment category is dominating the industry, and the category is also projected to advance with a CAGR, of 40%, in the projection period. The quick integration of AI tools by the media and entertainment industry is driving improvements in content creation and distribution.

In 2023, North America grips the largest share of the industry, at approximately 50%. This is because of the growing rates of banking scams, increasing healthcare load, and rising popularity of pseudo-imagination. Its enhanced tech framework and growth, along with its capability to harbor disruptive AI establishments, is one of the key factors for its development in the industry.

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