Latest news with #Frost&Sullivan
Time of India
4 hours ago
- Automotive
- Time of India
EV sales in India projected to grow 40% to 1.38 lakh units in 2025: Report
New Delhi: Passenger electric vehicle (EV) sales in India are expected to grow by around 40 per cent in 2025 to reach 1,38,606 units, up from 99,004 units in 2024, according to estimates released by market research and consulting firm Frost & Sullivan. Battery electric vehicles (BEVs) are expected to continue dominating the Indian EV market in 2025, while plug-in hybrid electric vehicles (PHEVs) are projected to account for only 0.1 per cent of sales. The report indicates that fuel cell electric vehicles (FCEVs) have not yet entered the Indian market and BEVs will continue to lead in the near term. 'SUVs and sub-compact SUVs drive the growth of EV sales in India ,' the report noted. As per 2024 data, Tata Punch, Tata Tiago, Tata Nexon, MG Comet, and MG Windsor were the top five EV models in terms of unit sales. Tata Motors led OEM sales in 2024, followed by JSW MG Motor India, Mahindra & Mahindra, BYD India, and PCA India (Citroen). The forecast for 2030 shows that EV sales could reach close to 7 lakh units under a baseline scenario. The report identifies Tata Motors, Mahindra & Mahindra, and MG Motor as the leading competitors in the space, operating with different business models. 'EV models will have driver-assist features in premium segments in the near term, however, in the long-term autonomous fleets will operate in gated communities,' the report stated. It further noted that original equipment manufacturers (OEMs) will have to be flexible in their strategies depending on market conditions and charging infrastructure. The report highlights that the Indian EV ecosystem has evolved with the support of various government initiatives such as FAME I, FAME II, Production-Linked Incentive (PLI) scheme, PM eBus Sewa, and PM eDrive. The FAME I scheme launched in April 2015 with a budget of ₹795 crore focused on early adoption, followed by FAME II in April 2019 with a budget of ₹11,500 crore to support mass adoption. The PLI scheme introduced in 2021 aims at manufacturing localisation with a ₹44,000 crore outlay. 'Government support is not limited to EV sales but is also focusing on all type of applications such as e2W, e3W, eBuses and charging infrastructure,' the report said. According to the report, India currently has over 25,500 public charging stations hosting about 60,000 connectors. Karnataka, Maharashtra, Delhi, and Tamil Nadu account for the highest number of installed EV chargers. To support future EV penetration, the country will require one charging connector for every five EVs by 2030. On the manufacturing side, the report lists critical challenges such as dependence on imported raw materials for batteries including lithium, nickel and cobalt, limited domestic cell manufacturing capability, and high reliance on battery management systems and power electronics from Chinese, Japanese, and Korean firms. The report also outlines that battery recycling, advanced power electronics, 800V architecture, vehicle-to-grid integration, battery swapping systems, and inductive charging are among the next set of technologies to watch in India's EV transition. The EV market in India is also expected to see the introduction of new technologies such as range extenders and hybrid fuel solutions combining ethanol and battery. The report cites strong indications of the introduction of PHEVs and extended range EVs (eREVs) in the Indian market.
Time of India
11 hours ago
- Automotive
- Time of India
EV sales in India projected to grow 40% to 1.38 lakh units in 2025: Report
New Delhi: Passenger electric vehicle (EV) sales in India are expected to grow by around 40 per cent in 2025 to reach 1,38,606 units, up from 99,004 units in 2024, according to estimates released by market research and consulting firm Frost & Sullivan. Battery electric vehicles (BEVs) are expected to continue dominating the Indian EV market in 2025, while plug-in hybrid electric vehicles (PHEVs) are projected to account for only 0.1 per cent of sales. The report indicates that fuel cell electric vehicles (FCEVs) have not yet entered the Indian market and BEVs will continue to lead in the near term. 'SUVs and sub-compact SUVs drive the growth of EV sales in India ,' the report noted. As per 2024 data, Tata Punch, Tata Tiago, Tata Nexon, MG Comet, and MG Windsor were the top five EV models in terms of unit sales. Tata Motors led OEM sales in 2024, followed by JSW MG Motor India, Mahindra & Mahindra, BYD India, and PCA India (Citroen). The forecast for 2030 shows that EV sales could reach close to 7 lakh units under a baseline scenario. The report identifies Tata Motors, Mahindra & Mahindra, and MG Motor as the leading competitors in the space, operating with different business models. 'EV models will have driver-assist features in premium segments in the near term, however, in the long-term autonomous fleets will operate in gated communities,' the report stated. It further noted that original equipment manufacturers (OEMs) will have to be flexible in their strategies depending on market conditions and charging infrastructure. The report highlights that the Indian EV ecosystem has evolved with the support of various government initiatives such as FAME I, FAME II, Production-Linked Incentive (PLI) scheme, PM eBus Sewa, and PM eDrive. The FAME I scheme launched in April 2015 with a budget of ₹795 crore focused on early adoption, followed by FAME II in April 2019 with a budget of ₹11,500 crore to support mass adoption. The PLI scheme introduced in 2021 aims at manufacturing localisation with a ₹44,000 crore outlay. 'Government support is not limited to EV sales but is also focusing on all type of applications such as e2W, e3W, eBuses and charging infrastructure,' the report said. According to the report, India currently has over 25,500 public charging stations hosting about 60,000 connectors. Karnataka, Maharashtra, Delhi, and Tamil Nadu account for the highest number of installed EV chargers. To support future EV penetration, the country will require one charging connector for every five EVs by 2030. On the manufacturing side, the report lists critical challenges such as dependence on imported raw materials for batteries including lithium, nickel and cobalt, limited domestic cell manufacturing capability, and high reliance on battery management systems and power electronics from Chinese, Japanese, and Korean firms. The report also outlines that battery recycling, advanced power electronics, 800V architecture, vehicle-to-grid integration, battery swapping systems, and inductive charging are among the next set of technologies to watch in India's EV transition. The EV market in India is also expected to see the introduction of new technologies such as range extenders and hybrid fuel solutions combining ethanol and battery. The report cites strong indications of the introduction of PHEVs and extended range EVs (eREVs) in the Indian market.
Cision Canada
2 days ago
- Business
- Cision Canada
Synopsys Receives Frost & Sullivan's 2025 Global Technology Innovation Leadership Award for Advancing Analog In-Memory Computing
Synopsys recognized for its comprehensive AI-driven EDA suite and cloud-enabled design environment accelerating analog in-memory computing development—a next-gen solution enabling advanced AI chips SAN ANTONIO, June 26, 2025 /CNW/ -- Frost & Sullivan is pleased to announce that Synopsys, a global leader in silicon to systems design solutions has been awarded the 2025 Global Technology Innovation Leadership Award in the analog in-memory computing segment for its outstanding product innovation, strategy execution, and customer-centric enablement. This recognition reflects Synopsys' leadership advancing analog in-memory computing (AIMC) design in a unified analog and mixed-signal development environment that supports next-generation, energy-efficient AI computing systems. Each year, Frost & Sullivan presents the Technology Innovation Leadership Award to companies demonstrating outstanding strategy development and implementation, driving measurable improvements in market share, customer satisfaction, and competitive positioning. Synopsys earned this recognition for providing engineers with tools that address analog complexity, significantly reducing design time and boosting productivity for AIMC-based system-on-chip (SoC) architectures. "Synopsys delivers a comprehensive and integrated suite of technologies that significantly lowers the barrier for developing analog in-memory compute systems, particularly for startups and innovators in AI hardware," said Jabez Mendelson, research manager at Frost & Sullivan. "Their unique combination of AI-enhanced tools, simulation performance, and cloud-native delivery exemplifies technology leadership and customer-focused innovation." "Synopsys is committed to helping customers address their compounding design complexities and unlock new levels of innovation at the edge and in the cloud," said Sanjay Bali, senior vice president of Strategy and Product Management at Synopsys. "This recognition underscores our focus on delivering industry-leading, AI-powered EDA solutions that tame the complexities of analog design migration, supercharge productivity, and speed up the creation of high-performance AI chips." Synopsys' Recognized Analog Design Solutions Trusted by startups, leading design houses, and semiconductor foundries, Synopsys' analog solutions drive next-generation innovation through a comprehensive and integrated suite of technologies. Synopsys analog design suite solutions recognized, include: Synopsys PrimeSim™, the industry's fastest GPU-accelerated SPICE simulator, delivers advanced ML-based High-Sigma Monte Carlo analysis and library characterization. It achieves up to 15x speed-up using NVIDIA GH200 Superchips and is projected to reach 30x speed-up with the NVIDIA Grace Blackwell platform, enabling SPICE-level circuit simulation in hours instead of days. PrimeSim's acceleration empowers engineers to innovate faster and improve productivity, driving the development of high-performance AI chips. Synopsys Custom Compiler™, paired with the PrimeWave™ Design Environment, provides powerful analog and mixed-signal design capabilities. Together, these tools enable seamless integration, flexible simulation, and reliability analysis, supporting the creation of innovative chip designs. Synopsys Cloud, offers instant, browser-based access to the full Synopsys EDA suite, compute infrastructure, and preconfigured flows under a flexible pay-per-use model. Synopsys Cloud has helped customers increase their time to results by 40% on average in addition to driving development improvements. "Circuit simulation is an essential workload in semiconductor design and is extremely compute-intensive. Accelerating Synopsys PrimeSim with NVIDIA CUDA-X and Grace Blackwell unlocks the design of the next generation of processors that will fuel the AI industrial revolution," said Tim Costa, Sr. Director of CUDA-X and CAE, NVIDIA. The breadth of Synopsys' analog design portfolio delivers unmatched capabilities, including Synopsys ™, AI-driven layout-aware optimization for rapid analog IP migration across process nodes, a robust mixed-signal flow with real-time view swapping enabling 5X to 10X faster verification, circuit simulation with hybrid timing delivering multifold acceleration in high-bandwidth memory timing verification, and Synopsys NanoTime offering exhaustive transistor-level static timing analysis. "As design complexity escalates at advanced process nodes, our collaboration with Synopsys plays a pivotal role in helping customers overcome these challenges," said Hyung-Ock Kim, vice president and head of the Foundry Design Technology Team at Samsung Electronics. "By combining Samsung Foundry's most advanced technologies with Synopsys' AI-powered circuit optimization and GPU-accelerated tools like Synopsys and PrimeSim, respectively, we are delivering breakthrough performance and efficiency that accelerate time-to-market for next-generation semiconductor designs."
Techday NZ
3 days ago
- Business
- Techday NZ
Gigamon set to lead deep observability with 52 percent share by 2025
New research from Frost & Sullivan reveals that Gigamon is projected to command a 52 percent share of the global deep observability market in 2025, as organisations place a greater emphasis on securing hybrid cloud infrastructure. Frost & Sullivan's analysis, commissioned by Gigamon, estimates the total addressable market for deep observability will reach USD $880 million in 2025 and expand to USD $2.7 billion by 2029, representing a compound annual growth rate of 33 percent. Market drivers The study highlights that growing adoption of hybrid cloud, increased threat complexity, and the proliferation of artificial intelligence (AI) workloads are key factors driving demand for deep observability solutions. As the number and sophistication of attacks increases, traditional log-based security tools are viewed as insufficient for protecting distributed environments. According to the recent Gigamon 2025 Hybrid Cloud Security Survey of over 1,000 global security and IT leaders, real-time monitoring and visibility across all data in motion are now the top priorities for modern defence strategies. Nearly 89 percent of respondents agreed that deep observability is foundational to effective cloud security. Definition and benefits Frost & Sullivan defines deep observability as the efficient provision of network-derived telemetry to cloud, security, and observability tools. Unlike traditional log analytics, deep observability enhances visibility across complex, hybrid architectures by leveraging detailed insights from network traffic rather than solely relying on pre-existing data logs. The research states that this approach allows security and IT teams to gain a comprehensive view of network and application performance, which in turn can improve security postures and reduce risk by identifying otherwise undetected threats and vulnerabilities. "Over the past year we've seen organisations increasingly prioritise visibility into all data in motion, as they seek to secure their hybrid cloud environments against an accelerating threat landscape," stated Vinay Biradar, Associate Director, Cybersecurity Advisory at Frost & Sullivan. "The increasing complexity of dynamic and distributed workloads is driving a shift in security investments toward solutions that help deliver complete visibility and reduce risk. Our research once again highlights Gigamon as the industry leader, due to its Deep Observability Pipeline and vast ecosystem, as it delivers the rich network-derived telemetry that modern security tools need to effectively secure data and infrastructure from evolving cyberthreats." Sector adoption and drivers Uptake is especially strong among large enterprises with more than 5,000 employees and US Federal Agencies, owing partially to mandatory requirements relating to Zero Trust architectures. The research found that the US Federal government exhibits the highest adoption rate within its sector due to compliance with Zero Trust regulations. Other reported drivers for adopting deep observability solutions include operational efficiency, cost reduction, improved compliance and governance, and the need for comprehensive insight into network traffic, particularly as organisations deploy new AI workloads at scale. Shane Buckley, President and CEO at Gigamon, commented on the evolving technology landscape: "AI is upping the ante for organisations, making complete visibility into all data in motion even more challenging across hybrid cloud infrastructure as organisations rapidly deploy new AI workloads. Increasingly, our customers are relying on the network-derived telemetry we deliver across their virtual machines, containers, cloud, and physical infrastructure, to help eliminate blind spots and vulnerabilities where threat actors could hide. The continued validation of deep observability as a rapidly growing market category underscores its significance in modern cybersecurity tech stacks." Study methodology Frost & Sullivan's research was conducted through a top-down analysis of the deep observability market. This included estimates of the number of large global enterprises and US federal agency adoption rates, as well as typical enterprise spending on deep observability solutions. The findings were derived from both Frost & Sullivan's proprietary research and primary interviews with market participants, including Gigamon.
Scoop
3 days ago
- Business
- Scoop
Gigamon Leads Expanding Deep Observability Market With 52 Percent Market Share In 2025 - New Frost & Sullivan Research
Gigamon, a leader in deep observability, has been recognized as a leading vendor in the high-growth deep observability market, according to new research by Frost & Sullivan commissioned by Gigamon. Overall, the deep observability total addressable market (TAM) is estimated at $880 million in 2025, growing to $2.7 billion in 2029, representing a compound annual growth rate (CAGR) of 33 percent as organizations increasingly embrace hybrid cloud infrastructure, according to the study. Amid today's evolving threat landscape, traditional log data from cloud, security, and observability tools is no longer sufficient in securing and managing complex hybrid cloud infrastructure. In the recently published Gigamon 2025 Hybrid Cloud Security Survey of more than 1,000 global Security and IT leaders, real-time threat monitoring and visibility across all data in motion was named as the top priority to optimize defense-in-depth strategies. As a result, nearly 9 in 10 (89 percent) Security and IT leaders agreed that deep observability is a foundational element of cloud security. Deep Observability Delivers Complete Visibility, Cost Efficiencies for Hybrid Cloud Infrastructure Frost & Sullivan defines deep observability as the ability to efficiently deliver network-derived telemetry to cloud, security, and observability tools. Emerging from the traditional observability market, the deep observability market has matured into a critical capability for organizations, according to the report. The ability to augment traditional log data with network-derived telemetry and insights enables Security and IT teams to gain complete visibility across hybrid cloud infrastructure, improving their overall security posture and optimizing network and application performance, according to the research. 'Over the past year we've seen organizations increasingly prioritize visibility into all data in motion, as they seek to secure their hybrid cloud environments against an accelerating threat landscape," stated Vinay Biradar, associate director, Cybersecurity Advisory at Frost & Sullivan. "The increasing complexity of dynamic and distributed workloads is driving a shift in security investments toward solutions that help deliver complete visibility and reduce risk. Our research once again highlights Gigamon as the industry leader, due to its Deep Observability Pipeline and vast ecosystem, as it delivers the rich network-derived telemetry that modern security tools need to effectively secure data and infrastructure from evolving cyberthreats.' According to the research, the global deep observability market is significantly influenced by the increasing adoption rates among large enterprises (5,000+ employees) and US Federal Agencies, which have the highest adoption rate within the US Federal government due to regulations around Zero Trust implementation. Key findings on factors that drive deep observability adoption in the AI-era include: Improving Security Posture Zero-Trust Architecture Implementation Operational Efficiency and Cost Reduction Improving Compliance and Cloud Governance Growing need for comprehensive network traffic insights 'AI is upping the ante for organizations, making complete visibility into all data in motion even more challenging across hybrid cloud infrastructure as organizations rapidly deploy new AI workloads," said Shane Buckley, president and CEO at Gigamon. "Increasingly, our customers are relying on the network-derived telemetry we deliver across their virtual machines, containers, cloud, and physical infrastructure, to help eliminate blind spots and vulnerabilities where threat actors could hide. The continued validation of deep observability as a rapidly growing market category underscores its significance in modern cybersecurity tech stacks.'
