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Automotive Prognostics Market size is set to grow by USD 9.92 billion from 2024-2028, maintenance cost-saving benefits of automotive prognostics system boost the market, Technavio

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NEW YORK, June 19, 2024 /PRNewswire/ — The global automotive prognostics market size is estimated to grow by USD 9.92 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 29.12%  during the forecast period. Maintenance cost-saving benefits of automotive prognostics system is driving market growth, with a trend towards traditional automotive suppliers entering automotive telematics market. However, high costs associated with telematics services exert pressure on the adoption of prognostics system  poses a challenge. Key market players include ANSYS Inc., Bridgestone Corp., Cloudera Inc., Continental AG, Dell Technologies Inc., Digital Management LLC, Fleet Complete, Garrett Motion Inc., International Business Machines Corp., Magna International Inc., OpenText Corp., Pioneer Corp., Predii Inc., Preteckt Inc., Progress Software Corp., Ridgetop Group Inc., Robert Bosch GmbH, Samsung Electronics Co. Ltd., Solera Holdings LLC, and VMware Inc..

Get a detailed analysis on regions, market segments, customer landscape, and companies- View the snapshot of this report

Automotive Prognostics Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 29.12%

Market growth 2024-2028

USD 9925.4 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

22.62

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 39%

Key countries

US, Germany, China, UK, and Canada

Key companies profiled

ANSYS Inc., Bridgestone Corp., Cloudera Inc., Continental AG, Dell Technologies Inc., Digital Management LLC, Fleet Complete, Garrett Motion Inc., International Business Machines Corp., Magna International Inc., OpenText Corp., Pioneer Corp., Predii Inc., Preteckt Inc., Progress Software Corp., Ridgetop Group Inc., Robert Bosch GmbH, Samsung Electronics Co. Ltd., Solera Holdings LLC, and VMware Inc.

Market Driver

Traditional automotive suppliers, such as Bosch and Continental, are expanding into the telematics domain to offer advanced diagnostics and prognostics capabilities. This shift towards value-added services allows them to enhance vehicle performance and safety while staying competitive in the connected vehicle market. By integrating telematics, these suppliers are driving the growth of the automotive prognostics market during the forecast period. 

The Automotive Prognostics Market is experiencing significant growth due to the increasing adoption of predictive maintenance in the automotive industry. Vehicles equipped with diagnostic systems and sensors are enabling prognostics, allowing for early detection and prevention of vehicle failures. Prognostics systems use vehicle data to predict component failures, reducing downtime and maintenance costs. The market is driven by the need for improved vehicle safety and efficiency, as well as the increasing availability of connected vehicles. Additionally, the use of machine learning and artificial intelligence in prognostics is trending, providing more accurate and reliable predictions. Overall, the market for automotive prognostics is poised for continued growth in the coming years. 

Research report provides comprehensive data on impact of trend. For more details- Download a Sample Report

Market Challenges

The automotive prognostics market involves initial setup costs, including licensing fees, installation, customization, and integration with existing vehicle systems. Ongoing subscription fees and hidden charges, such as roaming fees, add to the overall cost. High automobile-embedded telematics prices, driven by additional features, challenge manufacturers to maintain low monthly fees. To keep profits high, some manufacturers offer low-cost solutions, impacting the adoption of embedded telematics and automotive prognostics systems. The development of alternative, low-cost telematics solutions may pose challenges to the market during the forecast period.The Automotive Prognostics Market faces several challenges in implementing predictive maintenance solutions. One challenge is the complexity of vehicle systems, requiring advanced sensors and analytics to identify potential issues. Another challenge is data management, as large amounts of data must be collected, processed, and analyzed in real-time. Additionally, cybersecurity is a concern, as vehicle systems become increasingly connected and vulnerable to attacks. Furthermore, cost and regulatory compliance are also challenges, as implementing prognostics technology can be expensive and requires adherence to various industry standards. Finally, the integration of predictive maintenance with other vehicle systems, such as telematics and diagnostics, can be complex and require coordination between multiple stakeholders.

For more insights on driver and challenges – Request a sample report!

Segment Overview 

This automotive prognostics market report extensively covers market segmentation by  

Application 1.1 Passenger cars1.2 Commercial vehiclesEnd-user 2.1 Aftermarket2.2 OEMsGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Passenger cars-  The Automotive Prognostics Market refers to the use of predictive analytics in the automotive industry to identify and address potential issues before they cause vehicle downtime. This market is driven by the increasing demand for vehicle reliability and safety, as well as the growing trend towards connected and autonomous vehicles. Companies in this market provide solutions for predictive maintenance, diagnostics, and condition monitoring, helping automakers and fleet operators reduce costs and improve efficiency.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2017-2021) – Download a Sample Report

Research Analysis

The Automotive Prognostics Market encompasses advanced solutions for predicting component failures in passenger vehicles and commercial fleets. These systems utilize real-time insights from sensors to calculate failure probabilities, enabling preventive maintenance and predictive diagnostics. Owners of hatchbacks and other passenger vehicles, as well as fleet operators, benefit from these solutions by extending the lifespan of their automotive systems and reducing air pollution from unnecessary emissions. Automotive OEMs and aftermarket providers offer vehicle diagnostics and prognostics solutions to help prevent failures in internal combustion engines and other critical systems, such as ABS production. Telematics services play a crucial role in providing real-time data for prognostics applications, enhancing systems operation and optimizing maintenance schedules.

Market Research Overview

The Automotive Prognostics Market refers to the industry focused on predictive maintenance and failure prevention in the automotive sector. This market utilizes various technologies such as machine learning, artificial intelligence, and sensor data analysis to identify potential issues before they become critical. The goal is to enhance vehicle reliability, reduce downtime, and improve overall operational efficiency. Components involved include vehicle sensors, communication networks, and data analytics tools. Applications span across passenger cars, commercial vehicles, and electric vehicles. The market is expected to grow significantly due to increasing vehicle complexity, rising demand for connected vehicles, and stringent regulations on vehicle safety and emissions.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ApplicationPassenger CarsCommercial VehiclesEnd-userAftermarketOEMsGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Ascendion Expands AI Advisory Community with Four Global Business and Technology Leaders

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Former Global CTO of Banco Santander, former Group CIO of Currys, former CEO of IBPAP, and former Microsoft CVP and CTO of AI join the advisory community

Advisors will provide guidance on AAVA platform innovation, AI strategy, C-suite alignment, and enterprise adoption across Asia-Pacific, Europe, North America, and the UK

The growing community of advisors will bring practitioner perspective closer to Ascendion as enterprises move AI from experimentation to governed, production-scale outcomes

BASKING RIDGE, N.J., Oct. 27, 2026 /PRNewswire/ — Ascendion, an AI-native software engineering company, today announced the appointment of four global business and technology leaders to its AI Advisory Community: Andy Gamble, Jack Madrid, Julieta Ross, Ph.D., and Joseph Sirosh, Ph.D. 

The advisors bring perspectives rarely found in one group: executives who answered to Boards, regulators, and C-suites for what technology actually delivered; a builder of AI and data platforms at global scale; and a leader who shaped one of the world’s largest technology-services and talent ecosystems. Their experience spans banking, high-tech, media, and retail. Each will work directly with Ascendion’s regional and engineering leaders, so their counsel reaches the decisions it is meant to shape. 

“We are changing how software gets built. Enterprise leaders have moved past experiments. They want AI that delivers outcomes boards can measure and risk they can manage. Andy, Jack, Julieta, and Joseph have the experience and know where transformation succeeds. They will challenge our thinking, raise our ambition, and help us navigate a period of intense — and exciting — change,” said Karthik Krishnamurthy, CEO, Ascendion. 

Each advisor will map to a different part of the business, strengthening Ascendion’s alignment with leadership communities across the globe. 

Julieta Ross, Ph.D., former Global CTO of Banco Santander, brings two decades of leading technology inside global banks, along with public-company board experience. She will work with Ascendion’s leadership on executive relationships, go-to-market strategy, and growth, and will help the company meet the governance, regulatory, and risk expectations that banking and financial services leaders place on AI. Andy Gamble, former Group CIO of Currys plc, has spent nearly three decades as a technology buyer and transformation leader across consumer electronics, industrial, and retail businesses. He will advise Ascendion’s work across Europe and the UK, with a focus on consumer goods, manufacturing, and retail, and will share what executive teams and Boards expect from a technology partner. Joseph Sirosh, Ph.D., former Microsoft CVP and CTO of AI, has spent his career building and scaling machine learning platforms in the high-tech industry. He will advise Ascendion’s engineering leadership on the evolution of AAVA and its broader platform strategy as AAVA becomes an orchestration and harness layer for enterprise AI. Jack Madrid, former President and CEO of IBPAP, spent five years leading the industry association behind one of the world’s largest technology and business-services ecosystems, centered in the Philippines. He brings robust experience working across industries, including banking, high-tech, and media, and will advise Ascendion on Asia-Pacific markets and on how AI is reshaping global delivery, skills, and workforce models. 

Together, the advisors give Ascendion an outside perspective on the full spectrum of enterprise AI, from agentic platform strategy and product engineering to industry alignment and delivery. They will add capacity to Ascendion’s ongoing work on AI governance, helping ensure trusted impact from AI-native software engineering, and their practice-based insight will inform how Ascendion applies its Engineering to the Power of AI™ approach to commercial models, platform design, service execution, and workforce development. 

About Ascendion

Ascendion is a global AI-native software engineering company delivering trusted business outcomes – capital unlock, innovation velocity, lower risk – to 250+ enterprise clients. The company delivers business outcomes at scale by combining expert engineers, AI agents, and AAVA, Ascendion’s agentic AI platform. Together, they design, engineer, and operate production-ready software that improves everyday work and life. Learn more at www.ascendion.com.

Engineering to the Power of AI™, Engineering to Elevate Life™, and AAVA™ are trademarks or service marks of Ascendion. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

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AvePoint Set to Join S&P SmallCap 600

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NEW YORK, Oct. 27, 2026 /PRNewswire/ — AvePoint Inc. (NASD: AVPT) will replace LXP Industrial Trust (NYSE: LXP) in the S&P SmallCap 600 effective prior to the opening of trading on Monday, November 2. Brookfield Asset Management Ltd. and Canada Pension Plan Investment Board are acquiring LXP Industrial Trust in a deal expected to close soon, pending final closing conditions.

Following is a summary of the changes that will take place prior to the open of trading on the effective date:

Effective Date

Index Name

Action

Company Name

Ticker

GICS Sector

Nov 2, 2026

S&P SmallCap 600

Addition

AvePoint

AVPT

Information Technology

Nov 2, 2026

S&P SmallCap 600

Deletion

LXP Industrial Trust

LXP

Real Estate

ABOUT S&P DOW JONES INDICES

S&P Dow Jones Indices is the largest global resource for essential index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based on our indices than products based on indices from any other provider in the world. Since Charles Dow invented the first index in 1884, S&P DJI has been innovating and developing indices across the spectrum of asset classes helping to define the way investors measure and trade the markets.

S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies, and governments to make decisions with confidence. For more information, visit www.spglobal.com/spdji/en/. 

FOR MORE INFORMATION:

S&P Dow Jones Indices
index_services@spglobal.com

Media Inquiries
spdji.comms@spglobal.com

View original content:https://www.prnewswire.com/news-releases/avepoint-set-to-join-sp-smallcap-600-302921327.html

SOURCE S&P Dow Jones Indices

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Archera Surpasses $5.6 Billion in Cloud and AI Spend Under Management, Closes Series C Led by Pivot Investment Partners, and Expands Insurance-Backed Cloud Commitments

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The round will help Archera expand its guaranteed cloud commitments, bringing insurance-backed financial protection to companies navigating unpredictable AI and cloud spending. The company has delivered more than $700 million in customer savings and now manages approximately $5.6 billion in annual cloud and AI spend.

BELLEVUE, Wash., Oct. 27, 2026 /PRNewswire/ — As artificial intelligence makes cloud spending harder to predict, companies face an increasingly expensive choice: commit to long-term cloud and AI contracts to unlock significant discounts or preserve flexibility and leave savings on the table. Archera has raised a $15 million Series C to expand its Guaranteed Commitments and change that equation.

The cloud economics company today announced it closed its Series C funding round, led by Pivot Investment Partners, with participation from existing investors including HighSage Ventures. The financing brings Archera’s total funding to $38.3 million. It will support the expansion of Archera’s Guaranteed Commitments and its suite of free cloud cost tools, including its FinOps Agent and MCP.

Insurance-backed financial protection is central to Archera’s next phase of growth. Archera purchased a policy on a surplus lines basis from Crum & Forster Specialty Insurance Company to back its guarantee. This model helps businesses pursue cloud commitment savings while managing the financial risk of usage changes.

The company has delivered more than $700 million in savings to over 2,200 organizations, including PubNub, Art.com, and Astronomer. The thesis behind Archera is simple: companies shouldn’t have to predict AI’s future to commit and save money on today’s infrastructure.

Why Cloud and AI Commitments Need to Change

Cloud providers reward customers who commit to spending over one- to three-year periods with substantial discounts and access to capacity. Historically, those commitments have helped businesses reduce infrastructure costs. But AI is changing the risk and economics of that decision.

A new model launch can multiply GPU spending in months. A more efficient model, a shift in architecture, or a move to a different service can reduce it just as quickly. Long-term commitments that once looked financially sound can become expensive liabilities.

Companies are left choosing between overcommitting and risking unused spend, or undercommitting and missing out on available discounts. Many choose the latter, sacrificing potential savings to preserve flexibility.

Archera believes that the trade-off is unnecessary. Its Guaranteed Commitments provide resource-level cloud and AI discounts with terms as short as 30 days. If usage declines and a covered commitment goes unused, Archera covers the cost under the terms of its guarantee.

The result is a different way to approach cloud purchasing. Businesses can pursue deeper discounts and unlock capacity otherwise gated behind a commitment, without bearing the entire financial consequence when actual usage diverges from forecasts.

Turning Cloud Optimization Into a Financial Product

Traditional cloud cost management tools provide visibility, recommendations, automation, and forecasting, but they can’t eliminate the financial risk of unused commitments. Archera combines its free FinOps platform and Agent with a financial guarantee that addresses inaccurate forecasts.

“Every tool in this market is trying to forecast your cloud usage a little better. We think that’s the wrong bet,” said Aran Khanna, co-founder and CEO of Archera. “Nobody can forecast AI demand, not the customer, not the cloud provider. So instead of predicting it, we guarantee it, and we have purchased an insurance policy to back that guarantee. If covered usage drops, we address the unused commitment cost under the terms of our guarantee. That’s a new way to purchase cloud, not another dashboard, and it’s why we’ve been able to return $700 million to our customers.”

The approach positions cloud commitments as a financial risk decision, helping finance and engineering leaders manage budgets while adapting to changing technology.

Built for CFOs, CTOs, and the Teams Managing AI Costs

The approach addresses a growing challenge across finance and engineering: how to control infrastructure costs without constraining the business.

For CFOs: Capture commitment-level discounts while reducing exposure to eligible unused spend under the guarantee.For CTOs and engineering leaders: Preserve flexibility to adopt new AI models, change architectures, and scale workloads without letting past commitments dictate future decisions.For FinOps teams: Increase commitment coverage with a financial backstop when usage changes, without more back-and-forth with engineering teams to get perfect forecasts.For cloud partners and resellers: Give customers a differentiated way to pursue cloud savings that can be reinvested in new cloud services while managing commitment risk.

Archera’s platform connects to AWS, Microsoft Azure, or Google Cloud billing data in read-only mode and analyzes actual usage. It then recommends and automates the purchasing of both native commitments and Archera Guaranteed Commitments.

Customers can evaluate their potential savings before making any purchasing decision. Commitments remain in the customer’s own cloud account, preserving end-to-end control over cloud purchasing strategy.

Archera earns when customers save through its guaranteed commitments, aligning its commercial model with the outcomes customers seek.

Customers Are Rethinking the Commitment Model

For organizations accustomed to treating cloud commitments as a single, high-stakes decision, Archera offers a more flexible approach.

“Working with Archera meant rethinking commitments as a spectrum rather than a single, high-stakes decision,” said James Hamilton, VP of Operations and Controller at PubNub. “This was a big mind shift for us. We needed to think about how our commitments could be broken up into a spectrum of purchases versus a single one-time buy.”

That flexibility is particularly valuable as companies adopt AI workloads, where technology choices and resource requirements can shift faster than traditional budgeting cycles.

Instead of making one large bet on future usage, businesses can take a more measured approach while still securing meaningful discounts.

A Series C to Expand Insurance-Backed Cloud Purchasing

Archera has been operating profitably at scale. It raised a Series C to support larger guarantees, expand its reach, serve more customers, and upgrade the insurance policies backing its guarantee to serve larger global clients.

The company plans to use the capital in three ways:

Accelerate go-to-market efforts.Expand its global partner network across North America, Europe, the Middle East, Japan, and Latin America.Serve more teams focused on AI-driven workloads.

“Archera has built a capital-efficient and differentiated business at the intersection of cloud infrastructure and risk management,” said Dinkar Jetley, co-founder and managing partner at Pivot Investment Partners. “The team pairs a deep understanding of the cloud ecosystem with a rigorous approach to underwriting, and the result is a compelling value proposition that a fast-growing roster of customers relies on as their cloud spend scales. We are privileged to have led this Series C round and look forward to working closely with Aran and the management team in the years ahead.”

Built by People Who Understand Cloud Infrastructure

Aran and Nikhil Khanna founded Archera in 2019. Aran previously planned capacity for Azure’s core compute and database services at Microsoft and was a founding member of AWS’s deep learning team leading launches, including SageMaker, DeepLens, and the Neuron SDK, behind Amazon’s Trainium and Inferentia AI chips.

His research on deep learning model efficiency has been cited more than 1,900 times, and he serves on the FinOps Foundation governing board.

As AI transforms infrastructure economics, Archera aims to make cloud savings more accessible without forcing businesses to assume unnecessary financial risk.

To explore potential savings, request a free assessment at Archera.ai.

Free savings assessment: https://app.archera.ai/savings-estimate?utm_source=forbes&utm_medium=referral&utm_campaign=series-c-2026

Name: Sarah
Email Address: shiara@archera.ai
Phone Number: +13018255007

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SOURCE Archera

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