マテリアルハンドリング市場調査

マテリアルハンドリングとは何ですか?

マテリアルハンドリングは、原材料と完成品の移動を扱います。また、これらの品目の保管、保護、管理も扱います。マテリアルハンドリングは製造段階から始まります。その後、倉庫保管、配送、消費段階を経て、廃棄で終わります。

企業は、在庫を削減するために、資材処理のプロセスとシステムを導入しています。これらのプロセスにより、顧客サービスも向上し、配送時間が短縮されます。資材処理により、製造、流通、輸送における処理コストも削減されます。資材処理の意思決定者には、運用担当者、取締役、購買担当者が含まれます。

Materials Handling Market Research: How Leaders Convert Warehouse Data Into Margin

Materials handling has moved from a cost line to a strategic lever. The plants and distribution centers winning today treat throughput, labor, and automation as a single optimization problem, and they back every capital decision with primary evidence.

Materials handling market research is the discipline behind those decisions. It informs automation roadmaps, supplier selection, network design, and aftermarket strategy. The leaders running this work are seeing payback windows shorten and operating margins expand as labor markets tighten and SKU complexity rises.

Why Materials Handling Market Research Drives Capital Efficiency

Forklift fleets, conveyor systems, autonomous mobile robots, and warehouse management software now compete for the same capital budget. Each has different payback profiles, integration risks, and aftermarket economics. Buyers rarely have an internal view of how the alternatives perform across peer facilities.

Strong research closes that gap. It benchmarks pick-pack-ship cost per unit across automation tiers, quantifies SKU velocity distributions, and stress tests the development pro forma against labor inflation and volume variability. Honeywell Intelligrated, Dematic, and Daifuku publish reference cases, but reference cases reflect best-fit deployments, not the median operator. Primary research surfaces the median, which is what a board needs before approving capital.

SISインターナショナル・リサーチ has found that operators who commission independent autonomous mobile robot (AMR) ROI assessments before vendor shortlisting recover deployment costs faster than peers who rely on integrator-led business cases, largely because integration scope and slotting rework are sized correctly upfront.

The Decisions That Primary Research Should Anchor

Five decisions consume most of the capital and risk in this category:

• Automation tier selection: conventional racking, goods-to-person systems, AMR fleets, or full micro-fulfillment center feasibility.
• Vendor and integrator qualification, including supplier qualification audits across controls, mechanical, and software stacks.
• Network design: cross-docking throughput analysis, slotting optimization, and intermodal split modeling.
• Aftermarket revenue strategy for OEMs serving end users, including installed base analytics and predictive maintenance sizing.
• Labor model redesign tied to person-to-goods versus goods-to-person analysis.

Each of these benefits from a different evidence mix. Automation tier selection requires structured B2B expert interviews with operators who have run the technology for at least one peak season. Vendor qualification requires bill of materials optimization and total cost of ownership modeling against named alternatives. Network decisions require freight rate benchmarking and last-mile cost modeling against the actual customer geography.

What the Best Operators Do Differently

The conventional approach treats materials handling research as a sizing exercise: market size, growth rate, segment shares. That output rarely changes a capital decision. The better approach treats it as a decision-support exercise tied to a specific investment committee question.

Three patterns separate the leaders. First, they segment the market by operating profile, not by equipment category. A cold chain integrity audit for a grocery DC and an ADAS-equipped automotive parts DC look identical on a vendor brochure and behave nothing alike in practice. Second, they pressure test vendor claims through reference operator interviews rather than vendor-supplied case studies. Third, they refresh the analysis on a defined cadence rather than treating it as a one-time procurement input.

In structured expert interviews SIS International has conducted with senior operations and supply chain leaders across North America, Europe, and Asia, the operators reporting the strongest automation returns share a common practice: they commission independent 3PL vendor evaluation and goods-to-person versus person-to-goods analysis before issuing the RFP, not after.

Where the Growth Is Concentrated

Several segments are pulling capital faster than the broader category. Micro-fulfillment is one, driven by grocery and quick-commerce operators compressing delivery windows. AMR fleets are another, particularly in facilities where conventional automation cannot justify the fixed footprint. Aftermarket services are the third, as OEMs including Toyota Industries, KION Group, and Jungheinrich expand connected fleet telematics and predictive maintenance offerings.

For Fortune 500 buyers, the implication is that supplier evaluation now extends beyond equipment economics into software, data rights, and service contract structure. A forklift purchase today carries a multi-year data and service tail. Procurement teams that price only the asset miss the larger value pool.

Source: SIS International Research

The SIS Approach to Materials Handling Market Research

SIS International conducts materials handling market research across operator, OEM, and integrator perspectives in a single engagement. The methodology mix typically includes B2B expert interviews with plant managers and VPs of supply chain, competitive intelligence on named OEMs and integrators, site-level ethnographic observation, and total cost of ownership modeling calibrated to the client’s facility profile.

The output is decision-grade rather than descriptive. A typical deliverable answers a specific question: which two integrators should make the shortlist, which automation tier fits the SKU velocity distribution, where the network has slack capacity, or how an OEM should price a connected fleet subscription against the installed base. Forty years of work across 135 countries means the comparison set is broad enough to surface the patterns that matter.

The SIS Materials Handling Decision Framework

A practical lens for sequencing the work:

• Diagnose: SKU velocity, labor cost trajectory, peak-to-average ratio, current cost per unit shipped.
• Benchmark: Peer facility throughput, automation penetration, vendor performance against reference operators.
• Model: Total cost of ownership across at least three automation tiers, sensitized to wage and volume scenarios.
• Validate: Reference operator interviews, integrator qualification, contract structure review.
• Sequence: Phased deployment plan tied to peak calendars and capital availability.

Skipping the diagnose step is the most common pattern among programs that underdeliver. Skipping validate is the most expensive.

What Senior Buyers Should Expect From a Research Partner

The work should answer the investment committee’s actual question. It should name vendors, name reference operators, and quantify trade-offs in the client’s units. It should hold up under scrutiny from a CFO who has not visited a warehouse in a decade and from a VP of operations who runs one daily. Materials handling market research that meets that standard moves capital decisions from opinion to evidence.

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