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New Deloitte report: Asia Pacific financial services to reach US$4.8 trillion by 2035, outpacing the US

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HONG KONG, Aug. 26, 2026 /PRNewswire/ — Asia Pacific’s financial services industry is on track to generate as much as US$4.8 trillion in economic value added by 2035, overtaking the United States[1] and cementing the region as the new centre of gravity for global finance.

According to a new Deloitte report, From growth to advantage: Competing for the future of financial services in Asia Pacific, the region’s broader economy is expected to expand to nearly US$54 trillion by 2030, representing growth of 37% from 2024, ahead of Europe (36%) and North America (29%).[2] This puts the region at the centre of global financial services growth, with a structurally stronger trajectory than other major markets.

“Over the next decade, many of the most important decisions on capital, payments, digital assets, artificial intelligence (AI) and financial infrastructure will be made in Asia Pacific,” said Stuart Johnston, Deloitte Asia Pacific’s Financial Services Leader.

“The region has the scale, savings, innovation and talent to shape the next era of global finance. But the prize is not assured. Leadership will depend on whether institutions can connect funding with opportunity, win more demanding customers, and use AI to build sustainable advantage.”

Four battlegrounds will define the next decade

The report identifies four competitive battlegrounds that will determine which institutions shape the region’s financial future and which are shaped by it.

1. Shaping the new financial system:

Asia Pacific’s growth is driving a multi-trillion-dollar investment cycle. The region is over-reliant on bank lending and under-served by capital markets.

Bank credit across 13 major Asia Pacific economies averages 122% of GDP (approximately US$54 trillion), compared with 73% in North America and 98% in three major European economies. By contrast, market-based financing is only around 53% of GDP, less than half the depth of North America.[3] At the same time, the region is a net exporter of savings.  Reallocation and mobilisation are therefore two sides of the same challenge: Asia Pacific needs broader financing channels beyond banks, deeper markets, stronger intra-regional flows and a wider range of funding options, supported by firms’ ability to mobilise funding at scale, build cross-border partnerships and move beyond balance-sheet lending toward market-based financing and innovative structures.

2. Winning the customer:

Demographics, digital adoption and rising wealth are reshaping demand faster than institutions can respond, and every customer relationship is now contested.

Demographic and digital shifts are reshaping financial demand. By 2030, Asia Pacific is expected to add 174 million people and have more than 560 million people over the age of 65, while more than 362 million additional middle-income households across 13 Asia Pacific markets are expected by 2034[4]. More than 750 million customers have entered the financial system in the past decade, with the potential for 400 million more to follow.[5] Never before have Asia Pacific customers had more choice with super-apps, fintechs, digital banks and platform-based models contesting customer relationships.

The region’s wealth market is also increasingly competitive, with Asia Pacific holding US$169.7 trillion in total personal wealth in 2025 (32.8% of the global total)[6] and more than US$10 trillion of personal wealth expected to transfer within and between generations over the next 20 to 25 years.[7]

3. Navigating the AI inflection:

Firms are using AI for productivity, not transformation. The next advantage will come from redesigning the business around AI, not adding AI to what already exists.

Financial institutions are deploying AI rapidly, but many remain focused on productivity rather than transformation. Deloitte’s State of AI in the Enterprise[8] research shows that 68% of global financial services organisations report productivity gains from AI, including 66% in Asia Pacific, while only 18% report a revenue impact. The report argues that the next advantage will come from redesigning business and operating models around AI, not simply adding AI to existing processes. Fragmented data, legacy technology and brittle core systems are constraining firms’ ability to scale AI, while dependence on shared models and infrastructure will make proprietary data, context, governance and execution more important sources of differentiation.

4. Engaging the rule makers:

Governments are rewriting the rules of financial services. Institutions can help shape them or be shaped by them.

Governments and regulators across Asia Pacific are rewriting the rules of financial services as national priorities, sovereignty, resilience, AI assurance, cyber risk and digital assets move up the agenda. The report highlights that the firms which engage early with policymakers and bring practical solutions can turn regulatory complexity into a source of trust, influence and competitive advantage. Compliance costs continue to rise, with financial-crime compliance costing around US$45 billion annually in Asia Pacific, much of it driven by labour-intensive processes[9] and total regulatory compliance spend exceeding US$150 billion.[10]  

“Regulation is no longer just a cost of doing business – it is a source of trust, influence and competitive advantage,” said David Wai Kit Wu, Deloitte Hong Kong’s Financial Services Leader. “The firms that engage early with policymakers and bring practical solutions will shape the rules they operate under. Hong Kong and Singapore are strengthening as global financial centres, and institutions that treat them as staging grounds for regional influence will win.”

Moving forward with confidence

The report concludes there is no single formula for success across Asia Pacific’s diverse markets. But every institution now faces the same choice: defend today’s profit pools or invest in the business models that will define the next decade.

For leaders across the financial services, these strategic shifts will shape that choice:

The next phase of growth in Asia Pacific will depend on how effectively financial institutions connect capital with the region’s investment opportunities.Capturing this growth will require institutions to defend existing relationships while building the business models to capture the next wave of customers.Asia Pacific’s financial institutions need to treat AI as a core strategic priority; not just to optimise today’s business, but to build the competitive advantages that will define tomorrow’s.

“The response to uncertainty should not be caution,” Johnston added. “The winners will be those that set a clear direction and execute at pace. Institutions that connect regional savings with investment needs, deepen customer relevance, build distinct AI-enabled capabilities and engage constructively with regulators will be best placed to define the next era of financial services in Asia Pacific.”

To access the full report and learn more about the findings, please visit https://www.deloitte.com/ap/en/perspectives/asia-pacific-financial-services-growth-to-advantage.html 

[1] The United States is expected to reach up to US$4.3 trillion over the same period from a similar starting point. Source: Deloitte Access Economics analysis. Financial services value added is the national accounts measure of the sector’s contribution to GDP, calculated as gross output (interest, fees, insurance and trading income) minus the inputs used to produce those services, broadly equivalent to net revenue at a sector level.

[2] Deloitte Access Economics analysis on World Bank, World Development Indicators, 2026; IMF, World Economic Outlook, 2026.

[3] Deloitte Access Economics analysis on World Bank (2025), OECD (2026) and ADB (2025) data. Market-based financing is measured as an average of market capitalisation, corporate bonds outstanding and mutual fund assets as a share of GDP. Asia Pacific 13 major economies include: Australia, New Zealand, Japan, South Korea, Singapore, Hong Kong SAR, China Mainland, India,  Indonesia, Malaysia, Thailand, Philippines and Vietnam; North American economies include the US and Canada; European economies include the United Kingdom, Germany and France.

[4] Deloitte Access Economics analysis on World Bank population data (2026), Oxford Economics (2024), World Bank, Global Findex Database (2025)

[5] Deloitte Access Economics analysis on World Bank population data (2026), Oxford Economics (2024), World Bank, Global Findex Database (2025)

[6] UBS, Global Wealth Report 2026

[7] UBS, Global Wealth Report 2025

[8] Deloitte, State of AI in Financial Services, 2026. Note the global FS sample is 573 respondents, Asia Pacific results relate to the unpublished responses of 91 firms across Australia, India, Japan, and Singapore and are show where there is a variation from the global financial services result.

[9] Lexis Nexis, The True Cost of Financial Crime Compliance in APAC, February 2024.

[10] Deloitte estimate, based on estimated 10% of expenses spent on regulation and compliance across listed Asia Pacific financial businesses with greater than US$1bn market capitalisation

About Deloitte Asia Pacific Financial Services

Deloitte Asia Pacific Financial Services connects financial services experts across the region and our global network. This includes sector insight, technology and transformation capability, risk and regulatory expertise, and operate and assurance capabilities to support clients on their most important priorities across the region.

About Deloitte

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities (collectively, the “Deloitte organisation”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of each other. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

Deloitte Asia Pacific Limited is a company limited by guarantee and a member firm of DTTL. Members of Deloitte Asia Pacific Limited and their related entities, each of which is a separate and independent legal entity, provide services from more than 100 cities across the region, including Auckland, Bangkok, Beijing, Bengaluru, Hanoi, Hong Kong, Jakarta, Kuala Lumpur, Manila, Melbourne, Mumbai, New Delhi, Osaka, Seoul, Shanghai, Singapore, Sydney, Taipei and Tokyo.

This communication contains general information only, and none of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms or their related entities (collectively, the “Deloitte organization”) is, by means of this communication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. 

No representations, warranties or undertakings (express or implied) are given as to the accuracy or completeness of the information in this communication, and none of DTTL, its member firms, related entities, employees or agents shall be liable or responsible for any loss or damage whatsoever arising directly or indirectly in connection with any person relying on this communication.  

©2026 Deloitte Asia Pacific Services Limited

Contact: 
Kashish Sakhrani
Media Manager, Deloitte Asia Pacific
Tel: +852 2852 1600
Mob: 852 6689 0757
Email: ksakhrani@deloitte.com

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SOURCE Deloitte Asia Pacific Limited

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TIER IV to showcase integrated AI, data, and computing solution for SDVs at Automotive World 2026

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TOKYO, Aug. 26, 2026 /PRNewswire/ — TIER IV, the pioneering force behind open-source software for autonomous driving, will showcase a solution for software-defined vehicles (SDVs) that integrates AI, data, and computing at Automotive World 2026, to be held at Makuhari Messe from September 9 to 11, 2026. As part of its exhibition, TIER IV will introduce the autolabeling function of its Co-MLOps platform, a data-sharing platform, as well as its reference E2E AI model, an end-to-end (E2E) autonomous driving AI model developed using data processed through the platform. The demonstration will run the reference E2E AI model on an automotive computer, showcasing an integrated SDV solution that covers the entire process, from data collection and processing to the development of the E2E autonomous driving AI model and its deployment on an automotive computing platform.

Toward the development of autonomous driving systems for passenger vehicles

As the use of AI in autonomous driving technology continues to advance rapidly, high-quality and diverse datasets with accurate labeling are becoming increasingly important for enabling AI to correctly interpret its surroundings. Equally important is an efficient framework for developing autonomous driving AI models using these datasets. To deploy autonomous driving AI models in mass-produced vehicles, including passenger vehicles, it is also essential to run these models efficiently on automotive computing platforms.

To accelerate the development of autonomous driving AI, TIER IV launched the Co-MLOps platform in January 2024 and has been working with partners to collect and share driving data. TIER IV is working toward an integrated SDV solution that combines AI, data, and computing by automatically labeling driving data collected through the platform, efficiently developing the E2E autonomous driving AI model using the labeled data, and establishing an environment for deploying the model on an automotive computing platform.

Key features of the autolabeling function

Using driving data as training data for autonomous driving AI models requires the collection of large volumes of driving data and accurate labeling to enable AI to correctly interpret the data. The autolabeling function automatically labels a wide range of objects and background elements in driving data, including vehicles, pedestrians, road surfaces and structures, so that they can be accurately recognized by AI.

The function can generate millions of labels instantly and with consistent quality, enabling efficient data processing even when new regions or sensors are added or the volume of data increases. By automating the enormous amount of labeling work that has traditionally been performed manually, the function is expected to reduce development costs and accelerate the development of autonomous driving AI models.

To improve the accuracy of autonomous driving AI models, TIER IV supplements difficult-to-collect driving data, such as rare scenarios directly associated with collision risks and data from adverse weather conditions, with synthetic data generated using NVIDIA Cosmos. The autolabeling function is also used to label this generated data.

For more details on the autolabeling function and the use of NVIDIA Cosmos to supplement driving data, please see TIER IV’s tech blog, Building a dataset foundation for autonomous driving with NVIDIA Cosmos.

Key features of the reference E2E AI model

The reference E2E AI model does not rely on high-definition maps and uses only images captured by automotive cameras to perform a range of functions, from a bird’s-eye-view understanding of the surrounding environment to trajectory generation, using a single neural network. The model supports 3D road and object recognition, the generation of occupancy maps that determine whether obstacles are present in each cell when the environment captured by camera images is divided into a grid, and vehicle trajectory prediction. Its architecture is also well suited to automotive computing, making it easier to deploy on actual system-on-chips.

The model is developed through an agentic AI-driven development process. Humans specify what to build, while an AI agent takes the lead in developing the E2E autonomous driving AI model, incorporating automatically labeled driving data, data transformation and cleansing, implementation optimization, and model management. The agent autonomously runs the cycle of training, evaluation, and improvement. By having agentic AI lead the development process, the model is designed to improve development efficiency and enable low-cost, rapid prototyping of autonomous driving AI models.

TIER IV is continuing to develop the reference E2E AI model and plans to make it available to partners participating in the Co-MLOps project.

Demonstration at Automotive World 2026

TIER IV will demonstrate technology that automatically labels various objects and background elements in driving data using the autolabeling function of the Co-MLOps platform. The demonstration will also run the reference E2E AI model, developed using the labeled driving data, on an NVIDIA Jetson Orin, where the model will use only images from automotive cameras to perform the entire process from a bird’s-eye-view understanding of the surrounding environment to trajectory generation.

By integrating large-scale driving data collection and processing through the platform with the continuous development and improvement of the E2E autonomous driving AI model and its deployment on the automotive computing platform, TIER IV is advancing the development of an SDV solution designed to support automakers and suppliers in the development of autonomous driving systems for mass production in passenger vehicles.

About TIER IV

TIER IV stands at the forefront of deep tech innovation, pioneering Autoware, open-source software for autonomous driving. With a comprehensive suite of platforms and services built around Autoware, TIER IV provides everything from software development and vehicle procurement to operational support. Through the Autoware ecosystem, TIER IV works with partners worldwide to shape the future of intelligent vehicles with open-source software, aiming to create mobility that is safer, more sustainable, and accessible to all.

Media contact
pr@tier4.jp 

The word marks and logos of TIER IV are trademarks or registered trademarks of TIER IV, Inc. in Japan and other countries. All other company names, product names, service names, and logos referenced herein are trademarks or registered trademarks of their respective owners.

Autoware is a registered trademark of the Autoware Foundation.

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SOURCE TIER IV, Inc.

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Consumer Trust in AI Is on Track to Grow by 15 Percentage Points by 2030

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August 26, 2026

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New BCG Research Finds That in More Than Half of AI-Assisted Journeys, AI Introduces Consumers to New BrandsNearly a Third of Consumers Now Use AI at Some Point in Their Purchase Journey, Roughly Triple the Rate of 18 Months AgoValue, Not Price Alone, Is Driving Purchase Decisions, While Health Concerns and Solo Living Reshape What Consumers Want

BOSTON, Aug. 26, 2026 /PRNewswire/ — AI is rapidly gaining influence over purchase decisions as consumers rethink which sources they should trust. More than half of consumers say they don’t fully trust any single source of information, according to new research from Boston Consulting Group (BCG). But AI is already among consumers’ most trusted sources, along with experts and peers, and they expect their trust in it to increase by 15 percentage points by 2030, faster than any other source.

These discoveries are presented in Global Consumers Have Moved On. Has Your Growth Strategy Caught Up?, a new report from BCG’s Global Advantage practice and Center for Customer Insight. The report is based on a survey of more than 13,000 consumers across 12 markets, supplemented by over 100 in-depth consumer interviews and an analysis of more than 1,000 brands. The research identifies five enduring themes that are reshaping consumer behavior: trust, AI-driven decision making, value over price, longevity and well-being, and solo living.

“Many companies are still competing for a consumer who has already moved on,” said Aparna Bharadwaj, a managing director and senior partner at BCG, global leader of BCG’s Global Advantage practice, and a coauthor of the report. “Consumer journeys have shifted through the power of AI. This makes key thematic consumer segments such as solo households and longevity seekers feel highly underserved by brands. Four in ten consumers feel overwhelmed by the volume of information they encounter, and they are increasingly turning to AI as a trusted source to help them cut through that noise. Understanding the implications of that emerging trend is now central to any company’s growth agenda.”

AI Is Becoming a New Gatekeeper for Consumer Choice

Today, 31% of surveyed consumers use AI at some point in their purchase journey, roughly triple the level that did so just 18 months ago. Some 19% are AI loyalists who rely on it regularly when making purchase decisions, and 70% of these users ultimately buy the products it recommends.

The expanding role of AI poses a new challenge for brands. In more than half of AI-assisted purchase journeys, the technology introduces consumers to brands they would not otherwise have considered. As AI increasingly helps mediate what consumers see, brands may have less visibility into how they are being recommended, ranked, or excluded.

New Sources of Growth Extend Beyond AI

The research identifies several other structural themes that are already reshaping consumer demand:

Value over Price. Over two-thirds of consumers say they will buy only when they perceive good value, even if they can afford the product at the price point offered.Health over Traditional Markers of Success. Nearly three-quarters of consumers rank health and well-being as the strongest indicator of prosperity, ahead of career at 40% and financial wealth at 28%.The Rise of Solo Living. In mature markets, one in every three households now consists of a single person, up 6 percentage points since 2010. Solo households spend two to three times more per capita than multiperson households, yet 50% to 70% say products and services are not designed for people like them, making solo households one of the largest and most underserved opportunities for future growth.

“Companies that truly understand their consumers and recognize these shifts early will be better positioned to capture the next wave of growth,” said Lauren Taylor, a BCG managing director and senior partner, global leader of the Center for Customer Insight, and a coauthor of the report. “Brands need to understand what creates value and build for the needs of emerging growth segments. They must also prepare for a world of AI-native commerce, where a recommendation can threaten an incumbent and create a challenger in the same moment.”

Download the publication here:

https://www.bcg.com/publications/2026/five-consumer-shifts-reshaping-growth

Media Contact:

Eric Gregoire

+1 617 850 3783

gregoire.eric@bcg.com 

About Boston Consulting Group

Boston Consulting Group bridges the gap between ambition and outcomes for the world’s leading companies and organizations. We are built for this era of unprecedented change—bringing strategic clarity rooted in over 60 years of deep domain knowledge, combined with applied AI shaped by our practitioners. BCG works shoulder-to-shoulder with CEOs across industries and geographies to deliver transformative impact at scale: stronger returns, transferred capabilities, and change that sticks. For more information, visit bcg.com.

About BCG’s Center for Customer Insight

BCG’s Center for Customer Insight (CCI) turns understanding into real impact, drawing on a comprehensive spectrum of customer intelligence. CCI’s experts work closely with the full range of BCG’s practices to uncover the deep “why” of human behavior, integrating quantitative and qualitative consumer, customer, and citizen insights with a deep understanding of business strategy, competitive dynamics, and public policy context to drive action plans across both private and public sectors.

Building on its longstanding customer-centric DNA, CCI combines deep expertise and human insights with cutting-edge AI-powered capabilities to deliver deeper, more actionable recommendations that power growth, innovation, and new opportunities. By integrating advanced analytics, proprietary data assets, and AI-enabled approaches, the center helps organizations better understand what drives customer demand and influence; identify growth potential; and make more confident, real-time decisions to maximize value in an increasingly complex environment.

In the course of its work, the center has amassed a rich set of proprietary data on consumers and citizens in both emerging and developed markets around the world. CCI is sponsored by BCG’s Marketing, Sales & Pricing practice and Global Advantage practice. For more information, please visit the Center for Customer Insight.

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SOURCE Boston Consulting Group (BCG)

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MegazoneCloud Launches Its Gemini Enterprise Center of Excellence to Accelerate Enterprise AI Adoption

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August 26, 2026

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Dedicated division leverages multimodal AI and agentic workflows to move global clients from pilot to production.

ROCHESTER, N.Y., Aug. 25, 2026 /PRNewswire/ — MegazoneCloud, a global AI-Native Managed Service Provider (MSP) and a Premier Partner in the Google Cloud Co-sell, Google Cloud Services, and Google Workspace Co-sell and Services Partner Paths, today announced the official launch of its Gemini Enterprise Center of Excellence (CoE). The strategic initiative is a dedicated delivery practice built for the last mile of enterprise AI, where most initiatives stall between a promising pilot and a governed production system people actually use.

Built on MegazoneCloud’s foundational AI framework, engagements typically open with an AI Readiness Assessment or a one-day AI Use Case Discovery Workshop that converts AI ambition into a prioritized portfolio of production-ready opportunities.

The CoE launches with three flagship Gemini Enterprise engagements, the first of an expanding portfolio of offerings and packaged solutions:

GE Enablement: A secure, governed Gemini Enterprise environment integrated with Google Workspace, paired with the rollout and adoption programs that turn licenses into measurable productivity. GE Use Case Pilot to Production: A single high-value use case carried from validated pilot to governed production, with the data integration, evaluation, and governance rigor that separates working systems from stalled experiments.GE Agent Foundation & Orchestration Build: Co-developed agentic infrastructure: agent orchestration, automated evaluation and deployment pipelines, grounded knowledge retrieval with source citations, and secure data segregation for multi-tenant environments.

Whether opting for Forward Deployed Engineering (FDE), outcome-based delivery, or a hybrid model, clients get a custom engagement structured for their ideal way of working.

“Partners are central to how we deliver Google Cloud’s most advanced AI innovations to organizations worldwide,” said David Smith, Head of Global Channels and Programs, Google Cloud. “MegazoneCloud’s launch of the Gemini Enterprise Center of Excellence is a powerful demonstration of how our partner ecosystem is moving customers from experimentation to execution.”

“We are moving past isolated AI pilots and entering an era of deeply integrated, proactive intelligence,” said Bob Moore, MegazoneCloud US CEO. “By centralizing our expertise and leveraging advanced multimodal architectures, the CoE will empower our workforce, optimize core operational models, and deliver unprecedented value to our clients.”

For clients, this investment translates directly to faster project delivery, smarter predictive managed services, and a secure path to co-developing custom AI solutions for their toughest operational challenges.

Current offering details, engagement models, and the CoE delivery approach are available at us.megazone.com/gemini-enterprise-coe, where enterprises can request a Gemini Enterprise readiness conversation with the CoE team.

About MegazoneCloud

MegazoneCloud is a leading AI and cloud-native company, home to over 2,000 cloud and AI technology experts. As a trusted digital transformation partner to more than 8,000 clients worldwide, MegazoneCloud empowers innovation and growth through strategic partnerships and its suite of proprietary cloud, AI, and security solutions. Under its vision of “Transform Tomorrow, Together”, MegazoneCloud is committed to building future-ready competitiveness for its customers—powered by cutting-edge technology, data, and the passion of its people. Operating in over 9 countries, including extensive operations in the US under the leadership of industry veteran Bob Moore, the company continues to grow alongside its global partners and clients. To learn more, visit: www.megazone.com/us.

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SOURCE MegazoneCloud

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